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学术刊物
(仅以英文显示)
Year
Paper
APRIL 2026
- E. Ni, J. Wang, J. Luan, J. Liu, S. Xiong, S. Xu, W. Cheng, M. Chen, Y. Ni, Y. Li, "Interpretable Knowledge Tracing via Explicit–Implicit Alignment", Knowledge-Based Systems, Vol. 344, Article 116071, 27 April 2026
- O.C. Pasche, H. Lam, S. Engelke, "Extreme Conformal Prediction: Reliable Intervals for High-Impact Events", Extremes, Vol. 29, Pages 129–155, 28 April 2026
MARCH 2026
- P. Jiang, Y. Wu, L. Xu, W. Dong, P. Chen, Y. Ming, C. Wang, X. Jia, Q. Wang, "Anonymous Messaging Made More Flexible With PingPong", IEEE/ACM Transactions on Networking, Vol. 34, Pages 4068–4083, 12 March 2026
- Y. Liu, X. Zheng, C. Cai, X. Yuan, C. Wang, "Adapting Large Language Models for Encrypted Traffic Analysis Services: An Efficient Realization with Mixture of LoRA Experts", IEEE Transactions on Services Computing, Vol. 19, No. 2, Pages 906–919, 9 March 2026
- W. Shao, L. Liu, Y. Li, G. Huang, S. Shi, L. Song, "Towards Privacy-Preserving Machine Translation at the Inference Stage: A New Task and Benchmark", IEEE Journal of Selected Topics in Signal Processing (JSTSP), 16 March 2026
- H. Lam, Z. Wang, "Cheap Bootstrap for Fast Uncertainty Quantification of Stochastic Gradient Descent", Journal of Machine Learning Research (JMLR), Vol. 27, Pages 1–42, March 2026
DECEMBER 2025
- Y. Yao, S. Liu, Z. Liu, Q. Li, M. Liu, X. Han, Z. Guo, H. Wu, L. Song, "Activation-Guided Consensus Merging for Large Language Models", Advances in Neural Information Processing Systems (NeurIPS), Vol. 38, Pages 124041–124069, December 2025
- H. Lan, L. Liao, A. Elmachtoub, C. Kroer, H. Lam, H. Zhang, "The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective", Advances in Neural Information Processing Systems (NeurIPS), Vol. 38, Pages 71528–71561, December 2025
NOVEMBER 2025
- P. Jiang, Y. Wu, J. Cheng, L. Xu, S. Yao, Q. Wang, C. Wang, K. Ren, "Scaling Metadata-Private Messaging Under Hardware Trust", IEEE/ACM Transactions on Networking, Vol. 34, Pages 1495–1510, November 2025
- L. Sun, Z. Yuan, E. Ni, W. Cheng, X. Song, L. Dai, H. Jiang, S. Xu, M. Chen, Y. Zhuang, Y. Ni, Y. Li, "AMBER: Adaptive Meta Balanced Paradigm for Heterogeneous Graph-Based Knowledge Tracing", Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM '25), November 2025
- Z. Yuan, L. Sun, Y. Zhuang, Y. Wang, X. Song, T. Xu, S. Li, J. Fu, J.M. Jose, S. Hong, J. Chen, Y. Li, Y. Ni, "SOLAR: Serendipity Optimized Language Model Aligned for Recommendation", Findings of the Association for Computational Linguistics: EMNLP 2025, Pages 10146–10169, November 2025
SEPTEMBER 2025
- Y.H. Fan, G.H. Feng, X. Qiao, S. Baronyan, "Institutional Granular Impact is Benign on Asset Sales and Price Efficiency", Journal of Financial Markets, Volume 7, Pages 100987, September 2025
- J.N. Yang, D.R. Wang, L. Zhu, H.M. Yan, Q.P. Zhang, "MMInfluencer: A Multimodal AI Framework for Influencer Marketing Tasks Using Large Language Models", IEEE Transactions on Computational Social Systems, Pages 1-12, September 2025
- Y.C. Luo, J.H. Zheng, Z.J. Yang, N. Chen, D.P. Wu, "Pleno-Alignment Framework for Stock Trend Prediction", IEEE Transactions on Neural Networks and Learning Systems, Volume 36, Issue 9, Pages 16604 - 16618, September 2025
- D. Wu, "A Disaster Explanation of Equity Term Structures", Review of Finance, Volume 29, Issue 5, Pages 1437–1465, September 2025
AUGUST 2025
- F.Y. Zhang, J. Wang, "Index Tracking via Temporally Weighted Least Squares and Gaussian Process Regressions", IEEE Transactions on Cybernetics, Volume 55, Issue 8, Pages 3913-3925, August 2025
- R.W. Yang, Y. Wang, Y.C. Luo, Z.J. Yang, Z.M. Zong, D.P. Wu, "Recent Advances in Artificial Intelligence for Management and Financial Technology", Transactions on Artificial Intelligence, Volume 1, Issue 1, Pages 139–152, August 2025
- F.Y. Zhang, Q.T. Lyu, J. Wang, "Regression-Based Index Tracking Versus Clustering-Based Index Tracking: An Empirical Study.", Advances in Neural Networks – ISNN 2025, Volume 15951, Pages 51-62, August 2025
- W.P. Tang, H.Y. Zhao, "Score-based Diffusion Models Via Stochastic Differential Equations", Statistical Surveys, Volume 19, Pages 28 - 64, August 2025
JULY 2025
- S.Y. Bie, G.H. Feng, N.X. Guo, J.Y. He, "Can News Predict Firm Bankruptcy?", Journal of Financial Markets, Pages 101002, July 2025
- G.F. Yan, T. Li, K. Wu, L.Q. Song, "Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning", IEEE Journal on Selected Areas in Communications, Volume 43, Issue 7, Pages 2684-2699, July 2025
- Z.J. Shi, Z. Yu, D.X. Zhou, "Learning Theory of Distribution Regression with Neural Networks", Constructive Approximation, Volume 62, Pages 61–104, July 2025
- D.Y. Zhong, Y.Q. Yang, Z.Y. Zhang, Y.H. Jiang, B. Xu, Q.C. Zhao, "Maximum Next-State Entropy for Efficient Reinforcement Learning", IEEE Robotics and Automation Letters, Volume 10, Issue 7, Pages 6896-6903, July 2025
- S.C. Luo, B.W. He, H.H. Zhao, W. Shao, Y.L. Qi, Y.Y. Huang, A.J. Zhou, Y.X. Yao, Z.P. Li, Y.Z. Xiao, M.J. Zhan, L.Q. Song, "RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation", ACM Transactions on Information Systems, Volume 43, Issue 5, No. 113, Pages 1-31, July 2025
- J.Y. Zhang, X.P., L. Xia, "Zero-sum Risk-sensitive Continuous-time Stochastic Games with Unbounded Reward and Transition Rates in Borel Spaces", Automatica, Volume 177, 112318, July 2025
- J. Chen, H. Wei, L. Xie, C. Zheng, "Managing Quality Risk in a Decentralized Supply Chain: Contractual Incentives and Product Recall Insurance", Production and Operations Management, July 2025
JUNE 2025
- X.T. Ma, J.Y. Chen, L. Xia, J. Yang, Q.C. Zhao, Z.Y. Zhou, “DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning", Journal of Artificial Intelligence Research, Volume 83, Article 4, June 2025
- B. Yu, Z.Y. Jiang, Z.Y. Huang, L.Q. Song, H.X. Hou, "Explicit Constructions of Rack-Aware Regenerating Codes for Multi-Node Failures", IEEE Transactions on Communications, Volume 73, Issue 10, Pages 8635-8646, June 2025
- Y.X. Yao, M.Y. Liu, G.Z. Deng, Z.Y., D.P. Wu, Z.J. Guo, H. Wu, L.Q. Song, "Leveraging Correctness-Based Learning for Efficient Reasoning via Automated Process Supervision", IEEE Journal of Selected Topics in Signal Processing (Early Access), Pages 1-14, June 2025
- Z.R. Yang, Y.Q. Li, Y. Matsuda, L.Q. Song, "mHMG-DTI: a drug-target interaction prediction framework combining modified Hierarchical Molecular Graphs and improved Convolutional Block Attention Module", Pacific-Asia Conference on Knowledge Discovery and Data Mining, Pages 191-202, Sydney, Australia, 10-13 June 2025
- J. Wang, F.Y. Zhang, W. Zhang, "Portfolio Selection by Maximizing Various Risk-Adjusted Return Ratios via Convex Reformulations", IEEE Transactions on Computational Social Systems, Volume 12, Issue 3, Pages 1202-1217, June 2025
- S.Q. Liu, B.W. He, C. Ma, L.Q. Song, "Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models", IEEE Journal of Selected Topics in Signal Processing (Early Access), Pages 1-10, June 2025
- D. Wu, W.W. Yu, "The Effect of Corporate Governance on the Relationship between Performance and Competition", International Review of Finance, Volume 25, Issue 2, June 2025
MAY 2025
- Y.L. Bai, Z.Y. Huang, H. Lam, D. Zhao, "Black-Box Rare-Event Simulation for Safety Testing of AI Agents: An Overview", Journal of the Operations Research Society of China, Volume 13, Pages 750–774 13, May 2025
- Adam N. Elmachtoub, H. Lam, H.X. Lan, H.F. Zhang, "Dissecting the Impact of Model Misspecification in Data-Driven Optimization", Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), Volume 258, Pages 1594-1602, Mai Khao, Thailand, 3-5 May 2025
- L.W. Cong, G.H. Feng, J.Y. He, X. He, "Growing the Efficient Frontier on Panel Trees", Journal of Financial Economics, Volume 167, Pages 104024, May 2025
- Y.J. Li, C.H. Leung, Q. Wu, "Probabilistic Learning of Multivariate Time Series with Temporal Irregularity", IEEE Transactions on Knowledge and Data Engineering, Volume 37, Issue 5, Pages 2874-2887, May 2025
APRIL 2025
- S.B. Lin, X.T. Liu, D. Wang, H. Zhang, D.X. Zhou, "Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos", Journal of Machine Learning Research, Volume 26, Issue 108, Pages 1-54, April 2025
- Z.Q. Ou, Z.J. Zhang, "AUDAN: An Adversarial Unsupervised Domain Adaptation Network Informed Decision-making in Audit Risk Assessment", Knowledge-Based Systems, Volume 314, Pages 113171, April 2025
- Z.H. Yu, B.C. Li, L. Xia, Z.Y. Zhou, "Computational Complexity of Discretized Markov Decision Processes," IISE Transactions, Pages 1-18, April 2025
- Y.X. Yao, H. Wu, M.Y. Liu, S.C. Luo, X.W. Han, J. Liu, Z.J. Guo, L.Q. Song, "Determine-Then-Ensemble: Necessity of Top-k Union For Large Language Model Ensembling", 13th International Conference on Learning Representations (ICLR 2025), Singapore, 24-28 April 2025
- W. Shao, M.Y. Liu, L.Q. Song, "DiffETM: Diffusion Process Enhanced Embedded Topic Model", 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Pages 1-5, Hyderabad, India, 6-11 April 2025
- X.Z. Zhang, W. Huang, J.J.H. Zhu, "How Journalism Researchers Navigate the AI Hype: Research Orientations and Intervention Recommendations", Information, Communication & Society, Pages 1–20, April 2025
- H.X. Chen, H.Y. Zhao, H. Lam, David D. Yao, W.P. Tang, "MallowsPO: Fine-Tune Your LLM with Preference Dispersions", Proceedings of International Conference on Learning Representations (ICLR) 2025, Singapore, 24-28 April 2025
- G.I. Winata, H.Y. Zhao, A. Das, W.P. Tang, David D.Yao, S.X. Zhang, S. Sahu, "Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey", Journal of Artificial Intelligence Research (JAIR), Volume 82, Pages 2595-2661, April 2025
- J. Xu, Sichun Luo, Xiangyu Chen, Haoming Huang, Hanxu Hou, and Linqi Song, "RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning", In Companion Proceedings of the ACM on Web Conference 2025 (WWW 2025), Pages 1436–1440, New York, USA, 28 April - 2 May 2025
- J.H. Zheng, Y. Tang and D. Wu, "Triplet Bridge for Zero-Shot Sketch-Based Image Retrieval", IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 9, Issue 2, Pages 2014-2025, April 2025
- G.W. Jiang, C.G. Jiang, Z.Y. Li, S.Q. Xue, J. Zhou, L.Q., D.F. Lian, Y. Wei, "Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning", 13th International Conference on Learning Representations (ICLR 2025), Singapore, 24-28 April 2025
MARCH 2025
- C.Q. Wang, Y.J. Li, S.Y. Wang, Q. Wu, "Demystifying Deep Credit Models in E-commerce Lending: An Explainable Approach to Consumer Creditworthiness", Knowledge-Based Systems, Volume 312, 113141, 15 March 2025
- R.D. Gopal, X. Qiao, M.S. Strub, Z.H. Yang, “Gaining a Seat at the Table: Enhancing the Attractiveness of Online Lending for Institutional Investors”, Information Systems Research, Volume 36, Issue 1, Pages 326-343, March 2025
- S.B. Lin, Y. Wang, D.X. Zhou, "Generalization Performance of Empirical Risk Minimization on Over-Parameterized Deep ReLU Nets", IEEE Transactions on Information Theory, Volume 71, Issue 3, Pages 1978-1993, March 2025
- F.Y. Zhang, J. Wang, "Index Tracking via Sparse Bayesian Regression and Collaborative Neurodynamic Optimization", IEEE Transactions on Cybernetics, Volume 55, Issue 3, Pages 1238-1249, March 2025
- J.B. Yang, D.L. Xu, "Maximum Likelihood Evidential Reasoning", Artificial Intelligence, Volume 340, Page 104289, March 2025
FEBRUARY 2025
- H.Z. Li, J. Wang, "A Collaborative Neurodynamic Algorithm for Quadratic Unconstrained Binary Optimization," IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 9, Issue 1, Pages 228-239, February 2025
- Y. Wang, K.H. Li, L.G. Wang, J.J. Hu, D.P. Oliver Wu and Y.L. Guo, "ADStereo: Efficient Stereo Matching With Adaptive Downsampling and Disparity Alignment", IEEE Transactions on Image Processing, Volume 34, Pages 1204-1218, February 2025
- P.L. Liu, Y.Q. Liu, X. Zhou, D.X. Zhou, "Approximation of Functionals on Korobov Spaces with Fourier Functional Networks", Neural Networks, Volume 182, 106922, February 2025
- C.H. Li, T.H. Wang, C.J. Wu, Q.C. Zhao, J. Yang, C.J. Zhang, "Celebrating Diversity with Subtask Specialization in Shared Multiagent Reinforcement Learning", IEEE Transactions on Neural Networks and Learning Systems, Volume 36, Issue 2, Pages 2051-2065, February 2025
- C.H. Leung, Y.Y. Huang, Y.J. Li, Q. Wu, “Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data”, In 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, Pennsylvania, USA, 25 February - 4 March 2025
- L. Xia, S. Ma, "Global Algorithms for Mean-Variance Optimization in Markov Decision Processes", Mathematics of Operations Research, February 2025
- W.P. Tang, D. D. Yao, "Polynomial Voting Rules", Mathematics of Operations Research, Volume 50, Issue 1, Pages 90-106, February 2025
- G.H. Feng, X. He, Y.C. Wang, C.C Wu, "Predicting Individual Corporate Bond Returns", Journal of Banking & Finance, Volume 171, 107372, February 2025
JANUARY 2025
- L.M. Liu, D.X. Zhou, "Analysis of Regularized Federated Learning", Neurocomputing, Volume 611, 128579, January 2025
- J. Xu, S. Wan, Y.C. Li, S.C. Luo, Z.L. Chen, Y.F. Shao, Z.T. Chen, S.L. Huang, L.Q. Song, "Cooperative Multi-Model Training for Personalized Federated Learning over Heterogeneous Devices", IEEE Journal on Selected Topics in Signal Processing, Volume 19, Issue 1, Pages 195-207, January 2025
- J.K. Hu, L. Xia, J.Q. Hu, H.R. Wu, "Economical and Reliable Energy Management for Networked Microgrids in a Multi-Agent Collaborative Manner", IEEE Transactions on Automation Science and Engineering, Volume 22, Pages 8659-8669, January 2025
- S. Liu, H. Wu, G. Deng, J. Chen, X. Wang, L. Song, "Towards Improving Interpretability of Language Model Generation through a Structured Knowledge Discovery Approach", IEEE Journal of Selected Topics in Signal Processing, Volume 19, Issue 1, Pages 32-44, January 2025
DECEMBER 2024
- Z.Q. Ou, Z.J. Zhang, "CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts", In The Thirty-eighth Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 10-15 December 2024
- Y.H. Yan, H. Lam, "Data-Driven Solutions and Uncertainty Quantification for Multistage Stochastic Optimization", 2024 Winter Simulation Conference (WSC), Pages 3300-3311, Orlando, Florida, USA, 15-18 December 2024
- H.K. Lin, H.B. Xu, Y.C. Wu, J.Z.. Cui, Y.T. Zhang, L.Z. Mou, L.Q. Song, Z.N. Sun, Y. Wei, "DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs", 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, 10-15 December 2024
- Z.R. Yang, W. Shao, Y. Matsuda, L.Q. Song, "iResNetDM: An Interpretable Deep Learning Approach for Four Types of DNA Methylation Modification Prediction", Computational and Structural Biotechnology Journal, Volume 23, Pages 4214-4221, December 2024
- G. Iyengar, H. Lam, T.Y. Wang, "Is Cross-Validation the Gold Standard to Estimate Out-of-sample Model Performance?", Proceedings of Advances in Neural Information Processing Systems (NeurIPS) 2024, Vancouver, Canada, 10-15 December 2024
- X. Xue, C. Yang, L. Feng, K. Zhang, L. Song, K. C. Tan, "Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer", IEEE Transactions on Evolutionary Computation, Volume 28, Issue 6, Pages 1776-1793, December 2024
- Y.Y. Huang, C.H. Leung, S.Y. Wang, Y.J. Li, Q. Wu, “Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators”, In The Thirty-eighth Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 10-15 December 2024
- M. Yuan, G.F. Zhou, "Why Naive 1/N Diversification Is Not So Naive, and How to Beat It?", Journal of Financial and Quantitative Analysis, Volume 59, Issue 8, Pages 3601-3632, December 2024
NOVEMBER 2024
- S.Y. Wang, J.P. Wang, L.Q. Song, "Addressing Fluctuating Stragglers in Distributed Matrix Multiplication via Fountain Codes", 2024 IEEE Information Theory Workshop (ITW), Pages 247-252, Shenzhen, China, 24-28 November 2024
- Z. Qiu, J. Li, S. Huang, X. Jiao, W. Zhong, I. King, "Clongeval: A Chinese Benchmark for Evaluating Long-Context Large Language Models", The Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, USA, 12-16 November 2024
- Y. Wang, L.G. Wang, K.H. Li, Y.J. Zhang, D.P. Oliver Wu and Y.L. Guo, "Cost Volume Aggregation in Stereo Matching Revisited: A Disparity Classification Perspective", IEEE Transactions on Image Processing, Volume 33, Pages 6425-6438, November 2024
- G.H. Feng, J.Y. He, N.G. Polson, J. N. Xu, "Deep Learning in Characteristics-Sorted Factor Models", Journal of Financial and Quantitative Analysis, Volume 59, Issue 7, Pages 3001-3036, November 2024
- Y.Q. Li, L.Q. Song, H.N. Hou, "LoRAN: Improved Low-Rank Adaptation by a Non-Linear Transformation", In Findings of the Association for Computational Linguistics: EMNLP 2024, Pages 3134–3143, Miami, Florida, USA, 12-16 November 2024
- N. Chen, X. Ma, Y. Liu, W. Yu, "Information Relaxation and a Duality-Driven Algorithm for Stochastic Dynamic Programs", Operations Research, Volume 72, Issue 6, Pages 2302-2320, November-December 2024
- W. Wang, Z. Li, D. Lian, C. Ma, L. Song, Y. Wei, "Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing", The Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miami, Florida, USA, 12-16 November 2024
- S.C. Luo, Y.Z. Xiao, X.Y. Zhang, Y. Liu, W.B. Ding, L.Q. Song, "PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training", ACM Transactions on Intelligent Systems and Technology, Volume 15, Issue 5, No. 98, Pages 1-24, November 2024
- G.F. Yan, S.X. Lyu, H.X. Hou, Z.Y. Zheng, L.Q. Song, "Towards Quantum-Safe Distributed Learning via Homomorphic Encryption: Learning with Gradients", 2024 IEEE Information Theory Workshop (ITW), Pages 699-704, Shenzhen, China, 24-28 November 2024
- G.F. Yan, T. Li, Y.Z. Xiao, H.X. Hou, C.D. Li, L.Q. Song, "Truncated Non-Uniform Quantization for Distributed SGD", 2024 IEEE Information Theory Workshop (ITW), Pages 295-300, Shenzhen, China, 24-28 November 2024
- W. Huang, M. Chen, S. H. Low, "Unsupervised Learning for Solving AC Optimal Power Flows: Design, Analysis, and Experiment", IEEE Transactions on Power Systems, Volume 39, Issue 6, Pages 7102 - 7114, November 2024
OCTOBER 2024
- Z. Qiu, J. Zhu, Y. Chen, G. Cai, W. Liu, Z.Dong, I. King, "EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction", In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), Boise, Idaho, USA, 21-25 October 2024
- S. Wang, S. Zhu, Y. Huang, Z. Li, "Estimation of Expected Return Integrating Real-Time Asset Prices Implied Information and Historical Data", Journal of Economic Dynamics and Control, Volume 167, 104931, October 2024
- Z.B. Lin, J.J. Lv, P.P. Li, L.Q. Song, H. Liang, H.X. Hou, "Fast Erasure Decoding of Reed-Solomon Codes Based on Decomposition of Vandermonde Matrix", 2024 16th International Conference on Wireless Communications and Signal Processing (WCSP), Pages 96-101, Hefei, China, 24-26 October 2024
- M.Z. Ruan, Y.H. Li, W.Z. Zhang, L.Q. Song, W.T. Xu, "Optimal Power Control for Over-the-Air Federated Learning with Gradient Compression", 2024 IEEE 30th International Conference on Parallel and Distributed Systems (ICPADS), Pages 326-333, Belgrade, Serbia, 10-14 October 2024
- X.M. Xue, Y. Hu, L. Feng, K. Zhang, L.Q. Song, K.C. Tan, "Surrogate-Assisted Search With Competitive Knowledge Transfer for Expensive Optimization", IEEE Transactions on Evolutionary Computation (Early Access), Pages 1-1, October 2024
SEPTEMBER 2024
- M. C. S. Wong, E. K. H. Chan, I. Yousaf, "CBDCs, Regulated Stablecoins and Tokenized Traditional Assets under the Basel Committee Rules on Cryptoassets", Journal of Financial Regulation and Compliance, Volume 33, Issue 1, Pages 31–47, 16 September 2024
- Y. Peng, S. Wang, M. C. S. Wong, "Predicting Carbon Emissions with Explainable Machine Learning Models: Applications for China’s Provinces", Springer Books, in: Thomas Walker & Dieter Gramlich & Akram Sadati (ed.), Artificial Intelligence, Finance, and Sustainability: Economic, Ecological, and Ethical Implications, Pages 145-175, 28 September 2024
- X. Hu, R. Zheng, J. Wang, C. H. Leung, Q. Wu, X. Xie, "SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization", The 18th European Conference on Computer Vision (ECCV 2024), Milan, Italy, 29 September - 4 October 2024
- S. Ma, L. Xia, Q.C. Zhao, "State Entropy Optimization in Markov Decision Processes", 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Pages 2846-2851, Bari, Italy, 28 August 28 – 1 September 2024
- A. Bodaghi, J. J. H. Zhu, "Using Dynamic Semantic Structure of News Flow to Enhance Financial Forecasting: a Twelve-Year Study on Twitter News Channels", Multimedia Tools and Applications, Volume 84, Pages 28191–2822325, September 2024
AUGUST 2024
- S. Liu, B. He, L. Song, "Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining", The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, 11-16 August 2024
- Y. Huang, R. Hong, H. Zhang, W. Shao, Z. Yang, D. Yu, C. Zhang, X. Liang, L. Song, "CLOMO: Counterfactual Logical Modification with Large Language Models", In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Volume 1, Bangkok, Thailand, 11-16 August 2024
- L. Chen, W.L. Qian, Albert D. Wang, Q. Wu, "Deciphering the Impact of BigTech Consumer Credit", In NBER Chinese Economy Working Group Meeting, Fall 2024, Shenyang, Liaoning, China, 22-23 August 2024
- H. Tan, Z. Guo, Z. Shi, L. Xu, Z. Liu, X. Li, Y. Wang, L. Shang, Q. Liu, L. Song, "Proxyqa : An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models", The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, 11-16 August 2024
- H. Feng, S.B. Lin, D.X. Zhou, "Radial Basis Function Approximation with Distributively Stored Data on Spheres. Constructive Approximation, Volume 60, Pages 1–31, August 2024
- Z. Li, G. Jiang, H. Xie, L. Song, D. Lian, Y. Wei, "Understanding and Patching Compositional Reasoning in LLMs", The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand, 11-16 August 2024
JULY 2024
- C. Liu, E. Liang, M. Chen, “Characterizing ResNet’s Universal Approximation Capability”, In Proceedings of 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21-27 July 2024
- Z.Yu, J. Fan, Z. Shi, D. X. Zhou, "Distributed Gradient Descent for Functional Learning", IEEE Transactions on Information Theory, Volume 70, Issue 9, Pages 6547 - 6571, 16 July 2024
- C. Liu, M. Chen, “ReLU Network with Width d+O(1) Can Achieve Optimal Approximation Rate”, In Proceedings of 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21-27 July 2024
JUNE 2024
- Y. Liu, T. Mao, D. X. Zhou, "Approximation of Functions from Korobov Spaces by Shallow Neural Networks", Information Sciences, Volume 670, 120573, June 2024
- P. Wang, Y. Lei, Y. Ying, D. X. Zhou, "Differentially Private Stochastic Gradient Descent with Low-Noise", Neurocomputing, Volume 585, 127557, 7 June 2024
- Y. Huang, S. Wang, C. H. Leung, Q. Wu, D. Wang, Z. Huang, “DIGNet: Learning Decomposed Patterns in Representation Balancing for Treatment Effect Estimation”, Transactions on Machine Learning Research, 4 June 2024
- Z.H. Guo, Y.F. Zhang, Z. Zhang, Z.L. Xu, I. King, “FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering”, Findings of the Association for Computational Linguistics: NAACL 2024, Pages 1519–1528, Mexico City, Mexico, 16-21 June 2024
- J.J. Jiang, X. Li, "Look Ahead Text Understanding and LLM Stitching", In 2024: Proceedings of the Eighteenth International AAAI Conference on Web and Social Media (ICWSM), Volume 18, Buffalo, New York, 3-6 June 2024
MAY 2024
- Y. Yao, S. Luo, H. Zhao, G. Deng, L. Song, "Can LLM Substitute Human Labeling? A Case Study of Fine-Grained Chinese Address Entity Recognition Dataset for UAV Delivery", In Companion Proceedings of the ACM on Web Conference 2024, Pages 1099-1102, Singapore, 13-17 May 2024
- H.Z. Li, J. Wang, "Capacitated Clustering via Majorization-Minimization and Collaborative Neurodynamic Optimization," IEEE Transactions on Neural Networks and Learning Systems, Volume 35, Issue 5, Pages 6679-6692, May 2024
- Q. Lin, J. Su, M. Chen, "Competitive Online Age-of-Information Optimization for Energy Harvesting Systems", In Proceedings of IEEE INFOCOM 2024 - IEEE Conference on Computer Communications, Vancouver, Canada, 20–23 May 2024
- Z.H. Guo, Y.F. Zhang, Z. Zhang, Z.L Xu, I King, “FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling”, In WWW '24: Companion Proceedings of the ACM on Web Conference 2024, Pages 1558–1567, Singapore, 13-17 May 2024
- H. Huang, M. Chen, X. Qiao, "Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns", In Proceedings of 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 7-11 May 2024
- L. Enming, M. Chen, "Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping", In Proceedings of 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 7-11 May 2024
- Y.Y. Huang, X.H. Lin, Z.Y. Liu, Q.X. Cao, H.J. Xin, H.M. Wang, Z.G. Li, L.Q. Song, X.D. Liang, "MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data", 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 7-11 May 2024
- Y. Yang, D. X. Zhou, "Nonparametric Regression using Over-parameterized Shallow ReLU Neural Networks", Journal of Machine Learning Research, Volume 25, Number 165, Pages 1-35, May 2024
APRIL 2024
- S.C. Luo, Y.X. Yao, H.H. Zhao, L.Q. Song, "A Language Model-Based Fine-Grained Address Resolution Framework in UAV Delivery System", IEEE Journal of Selected Topics in Signal Processing, Volume 18, Issue 3, Pages 529-539, 3 April 2024
- M. Ruan, G. Yan, Y. Xiao, L. Song, W. Xu, "Adaptive Top-K in SGD for Communication-Efficient Distributed Learning in Multi-Robot Collaboration", IEEE Journal of Selected Topics in Signal Processing, Volume 18, Issue 3, Pages 487-501, 5 April 2024
- Y.B. Li, C.K. Chan, C.Y. Yau, W.L. Ng, H. Lam, "Burn-in Selection in Simulating Stationary Time Series", Computational Statistics & Data Analysis, Volume 192, 107886, April 2024
- Z. Zhang, L. Shi, D. X. Zhou, "Classification with Deep Neural Networks and Logistic Loss", Journal of Machine Learning Research, Volume 25, Number 125, Pages 1-117, April 2024
- M. C. S. Wong, W. Li , “Investigating ESG Funds in China: Management Fees and Investment Performance”, International Journal of Financial Studies, Volume 12, Issue 2, Page 38, 25 April 2024
- S.C. Luo, J.S. Wang, A.J. Zhou, L. Ma, L.Q. Song, "Large Language Models Augmented Rating Prediction in Recommender System", 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, 14-19 April 2024
- J. Li, H. Feng, D. X. Zhou, “SignReLU Neural Network and its Approximation Ability”, Journal of Computational and Applied Mathematics, Volume 440, 115551, April 2024
- Y.M. Niu, J. Wu, S.Y. Jiang, Z.B, Jiang, “The Bullwhip Effect in Servitized Manufacturers”, Management Science, Published Online in Articles in Advance, 25 April 2024
MARCH 2024
- A. Bodaghi, J. Oliveira, "A Financial Anomaly Prediction Approach Using Semantic Space of News Flow on Twitter", Decision Analytics Journal, Volume 10, 100422, March 2024
- C. Sun, Q. Wu, X. Yan, "Dynamic CVaR Portfolio Construction with Attention-Powered Generative Factor Learning”, Journal of Economic Dynamics and Control, Volume 160, 104821, March 2024
- H.Z. Li, J. Wang, "From Soft Clustering to Hard Clustering: A Collaborative Annealing Fuzzy c -Means Algorithm," IEEE Transactions on Fuzzy Systems, Volume 32, Issue 3, Pages 1181-1194, March 2024
FEBRUARY 2024
- J. Li, H. Feng, D. X. Zhou, "Approximation Analysis of CNNs from a Feature Extraction View", Analysis and Applications, Volume 22, Number 3, Pages 635-654, 22 February 2024
- Y.Y. Song, X.H. Wang, G.R. Li, “Can Social Media Combat Gender Inequalities in Academia? Measuring the Prevalence of the Matilda Effect in Communication”, Journal of Computer-Mediated Communication, Volume 29, Issue 1, Zmad050, 2 February 2024
- Q. Fang, L. Shi, M. Xu, D. X. Zhou, “Efficient Kernel Canonical Correlation Analysis using Nyström Approximation”, Inverse Problems, Volume 40, Number 4, 045007, 23 Feburary 2024
- J.H. Zheng , Y. Tang , A. Huang , D.P. Wu, “Hierarchical Multivariate Representation Learning for Face Sketch Recognition'', IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 8, Issue 2, Pages 2037-2049, 12 February 2024
- Z.X. Qiu, J.H. Liu, Y.K. Chen, I. King, “HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval”, 38th AAAI Conference on Artificial Intelligence (AAAI-24), Vancouver, British Columbia, Canada, 20-27 February 2024
- Y. Li, C. H. Leung, X. Sun, C. Wang, Y. Huang, X. Yan, Q. Wu, D. Wang, Z. Huang, “The Causal Impact of Credit Lines on Spending Distributions”, Proceedings of the AAAI Conference on Artificial Intelligence, Volume 38, Number 1, Pages 180-187, Vancouver, Canada, 20-27 February 2024
DECEMBER 2023
- S. Ma, X.T. Ma, L. Xia, "A Unified Algorithm Framework for Mean-Variance Optimization in Discounted Markov Decision Processes, European Journal of Operational Research", Volume 311, Issue 3, Page 1057-1067, 16 December 2023
- M.Z. Ruan, G.F. Yan, Y.Z. Xiao, L.Q. Song, W.T. Xu, "Adaptive Top-K in SGD for Communication-Efficient Distributed Learning," IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia, 4-8 December 2023
- Y.L. Bai, A.B. Dieker, H. Lam, “Curse of Dimensionality in Rare-Event Simulation”, In WSC '23: Proceedings of the Winter Simulation Conference, San Antonio, Texas, USA, 10-13 December 2023
- D. Ma, M. Fu, J. Fang, Z. Cai, "Disentangling the Relationship between Portfolio Homogenization and Transaction of Non-fungible Tokens", International Conference on Information Systems (ICIS 2023), Proceedings 10, Paper Number 2246, Hyderabad, India, 10-13 December 2023
- Y.X. Yao, H. Wu, Q.L. Xu, L.Q. Song, "Fine-Grained Conversational Decoding via Isotropic and Proximal Search", 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, 6-10 December 2023
- J.Yu, Y. Mo, S. J. Qin, "Latent Dynamic Networked System Identification with High-Dimensional Networked Data", 62nd IEEE Conference on Decision and Control (CDC 2023), Singapore, 13-15 December 2023
- Z.X. Yuan, J.M. Liu, H.Y. Zhou, D.H. Zhang, H. Liu, N.J. Zhu, H. Xiong, "LEVER: Online Adaptive Sequence Learning Framework for High-Frequency Trading" IEEE Transactions on Knowledge & Data Engineering, Pages 1-13, 6 December 2023
- C. Sui, N. Chen, M. Yang, "Not All Market Participants are Alike when Facing Crisis: Evidence from The 2015 Chinese Stock Market Turbulence", Pacific-Basin Finance Journal, Volume 82, 102164, December 2023
- N. Chen, M. Dai, Q. Ding, C. Yang, "Patience is a Virtue: Optimal Investment in the Presence of Market Resilience", Available at SSRN 4671774, 21 December 2023
- H. Zhao, W. Tang, D. D. Yao, "Policy Optimization for Continuous Reinforcement Learning", Advances in Neural Information Processing Systems 36 (NeurIPS 2023), New Orleans, USA, 10-16 December 2023
- Y. Mo, J. Yu, S. J. Qin, "Probabilistic Reduced-Dimensional Vector Autoregressive Modeling for Dynamics Prediction and Reconstruction with Oblique Projections", 62nd IEEE Conference on Decision and Control (CDC 2023), Singapore, 13-15 December 2023
- T. Mao, D. X. Zhou, “Rates of Approximation by ReLU Shallow Neural Networks”, Journal of Complexity, Volume 79, 101784, December 2023
- H.C. Tan, H. Wu, W. Shao, X.Y. Zhang, M.J. Zhan, Z.H. Hou, D. Liang, L.Q. Song, "Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts", 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, 6-10 December 2023
- H. Lam, Z.T. Wang, “Resampling Stochastic Gradient Descent Cheaply”, In WSC '23: Proceedings of the Winter Simulation Conference, San Antonio, Texas, USA, 10-13 December 2023
- K. Liu, M.H. Yu, Y. Jin, Y. Wang, J.Q. Yan, X.F. Liu, "Tokenomic Model of Friend. Tech Social Platform: A Data-Driven Analysis ", 2023 IEEE International Conference on Data Mining Workshops (ICDMW), Pages 656-662, Shanghai, China, 1-4 December 2023
- T.Z. Zhang, H.L. Ren, Q.A. Mao, C. Ma, S.X. Liang, D.N. Hu, X.F. Liu, "Unlocking Decentralized Lending Protocols: Semantic Unification and Risk Spillover Assessment", 2023 IEEE International Conference on Data Mining Workshops (ICDMW), Shanghai, China, 1-4 December 2023
NOVEMBER 2023
- Z. Zheng, Z.J. Zhang, “A Temporal Convolutional Recurrent Autoencoder Based Framework for Compressing Time Series Data”, Applied Soft Computing, Volume 147, 110797, November 2023
- L.Y. Wei, Z. Yu, D.X. Zhou, "Federated Learning for Minimizing Nonsmooth Convex Loss Functions", Mathematical Foundations of Computing, Volume 6, Issue 4, Pages 753-770, November 2023
- X.C. Pang, S.P. Wu, S.S. Zhu, “Integrated Stock–Bond Portfolio Management”, Journal of Investment Strategies, Volume 12, Number 3, Pages 23–51, 6 November 2023
- H. Wu, K. Xu, L.Q. Song, "Structure-Aware Dialogue Modeling Methods for Conversational Semantic Role Labeling", IEEE/ACM Transactions on Audio, Speech, and Language Processing, Volume 32, Pages 742-752, 20 November 2023
OCTOBER 2023
- X. Han, R. Wang, X. Y. Zhou, “Choquet regularization for reinforcement learning”, SIAM Journal on Control and Optimization, Volume 61, Issue 5, Pages 2777-2801, 2023
- S.C. Luo, C. Ma, Y.Z. Xiao, L.Q. Song,"Improving Long-Tail Item Recommendation with Graph Augmentation", In CIKM ‘23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, Pages 1707-1716, Birmingham, United Kingdom, 21-25 October 2023
- Q. Luo, D. Yu, D. Wang, Y. Zhang, Y. Zheng, Z. Cai, "Influence Blocking Maximization Under Refutation", Social Network Analysis and Mining, Volume 13, Article Number 143, 29 October 2023
- L.Y. Cui, G.H. Feng, Y.M. Hong, “Regularized GMM for Time-Varying Models with Applications to Asset Pricing”, International Economic Review, Volume 65, Issue 2, Pages 851-883, 16 October 2023
SEPTEMBER 2023
- L.H. Song, Y. Liu, J. Fan, D.X. Zhou, "Approximation of Smooth Functionals Using Deep ReLU Networks", Neural Networks, Volume 166, Pages 424-436, September 2023
- X. Han, R.D. Wang, X.Y. Zhou, "Choquet Regularization for Continuous-Time Reinforcement Learning", SIAM Journal on Control and Optimization 61(5):2777-2801, September 2023
- L. Xia, L.Y. Zhang, Peter W. Glynn, "Risk-Sensitive Markov Decision Processes with Long-Run CVaR Criterion", Production and Operations Management, September 2023
- D.Y. Ahn, N. Chen, K.K. Kim, "Robust Risk Quantification via Shock Propagation in Financial Networks", Operations Research, September 2023
- Y.H. Li, Z.Q. Xu, X.Y. Zhou, "Robust Utility Maximisation with Intractable Claims", Finance and Stochastics 27, 985–1015, September 2023
AUGUST 2023
- C.Q. Wang, Y.J. Li, X.Q. Sun, Q. Wu, D.D. Wang, Z.X. Huang, "DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series", In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), Page 4299-4307, Macao, 19-25 August 2023
- J.B. Yang, D.L. Xu, X.B. Xu, C. Fu, "Likelihood Analysis of Imperfect Data", IEEE Transactions on Systems, Man, and Cybernetics: Systems, Volume 53, Issue 8, Pages 5046 - 5057, August 2023
- X. Han, X.Y. Zhao, L. Zhang, W.Y. Wang, "Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning", In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23), pp. 673-684, Long Beach, CA, USA, 6-10 August 2023
- X.C. Pang, S.S. Zhu, X.T. Cui, J.L. Ma, "Systemic Risk of Optioned Portfolio: Controllability and Optimization", Journal of Economic Dynamics and Control, Volume 153, 104701, August 2023
JULY 2023
- J.C. Li, Joe S.Z. Qin, "Applying and Dissecting LSTM Neural Networks and Regularized Learning for Dynamic Inferential Modeling", Computers & Chemical Engineering, Volume 175, 108264, July 2023
- Y.T. Jiang, M.Y. Fu, J. Fang, M. Rossi, "Applying Topic Modeling with Prior Domain-Knowledge in Information Systems Research". In PACIS 2023 Proceedings, Association for Information Systems, AIS Electronic Library (AISeL), Vol 143, Atlanta, GA, 8-12 July 2023.
- L.H. Song, J. Fan, D.R. Chen, D.X. Zhou, "Approximation of Nonlinear Functionals Using Deep ReLU Networks", Journal of Fourier Analysis and Applications, Volume 29, Issue 50, July 2023
- Z. Yu, D.X. Zhou, "Deep Learning Theory of Distribution Regression with CNNs", Advances in Computational Mathematics, Volume 49, 51, July 2023
- Y. Amonkar, James D.Gollin, David J. Farnham, V. Modi, U. Lall, "Differential Effects of Climate Change on Average and Peak Demand for Heating and Cooling across The Contiguous United States", EarthArVix, July 2023
- Z.Z. Guan, F. Cao, M.Y. Fu, T. Ma, E. Lim, C.W. Tan, "Facilitating Supplementary Innovation in the Digital Game Industry: The Role of Modding Toolkits". In PACIS 2023 Proceedings, Association for Information Systems, AIS Electronic Library (AISeL), Vol 216, Atlanta, GA, 8-12 July 2023.
- L.M. Liu, L. Cai, C. Zhang, X.Y. Zhao, J.T. Gao, W.Y. Wang, Y.F. Lv, W.Q. Fan, Y.Q. Wang, M. He, Z.T. Liu, Q. Li, "LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems", In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23), Pages 289-299, New York, NY, USA, 23-27 July 2023
- E.M. Liang, M.H. Chen, Steven H. Low, "Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set", In Proceedings of 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, 23-29 July 2023
JUNE 2023
- M.W. Yang, S.Q. Liu, J. Xu, G.Z. Tan, C.D. Li, L.Q. Song, "Achieving Privacy-Preserving Cross-Silo Anomaly Detection Using Federated XGBoost", Journal of the Franklin Institute, Volume 360, Issue 9, Pages 6194-6210, June 2023
- S.M. Ma, Z.R. Yuan, Q. Wu, Y.Y. Huang, X.X. Hu, C.H. Leung, D.D. Wang, Z.X. Huang, "Deep into The Domain Shift: Transfer Learning through Dependence Regularization", IEEE Transactions on Neural Networks and Learning Systems (Early Access), Pages 1 - 15, June 2023
- S. Huang, J.Y. Zhou, H. Feng, D.X. Zhou, "Generalization Analysis of Pairwise Learning for Ranking With Deep Neural Networks", Neural Computation, Volume 35, Issue 6 , Pages 1135-1158, June 2023
MAY 2023
- Y.W. Jia, X.Y. Zhou, "q-Learning in Continuous Time", Journal of Machine Learning Research, Volume 24, 1-61, May 2023
- W.J. Xu, Q.Y. Liu, M.H. Chen, H.B. Zeng, "Ride the Tide of Traffic Conditions: Opportunistic Driving Improves Energy Efficiency of Timely Truck Transportation", IEEE Transactions on Intelligent Transportation Systems, Volume 24, Issue 5, Pages 4777 - 4793, May 2023
- Y.D. Liu, X. Li, Z.Q. Eric Zheng, "Smart Natural Disaster Relief: Assisting Victims with Artificial Intelligence in Lending", Information Systems Research, May 2023
- W.P. Tang, David D. Yao, "Trading under the Proof-of-Stake Protocol - a Continuous-Time Control Approach", Mathematical Finance, Vol.33, Issue 4, Page 979-1004, May 2023
- H. Wu, M.J. Zhan, H.C. Tan, Z.H. Hou, D. Liang, L.Q. Song, "VCSUM: A Versatile Chinese Meeting Summarization Dataset", In Findings of the Association for Computational Linguistics: ACL 2023, May 2023
APRIL 2023
- X.Q. Sun, C.H. Leung, Y.J. Li, Q. Wu, "A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection", In Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023, Volume 206, Pages 4629 - 4642, 25-27 April 2023
- Z.L. Mo, Z.J. Zhang, Q. Miao, K.L. Tsui, "Intelligent Informative Frequency Band Searching Assisted by a Dynamic Bandit Tree Method for Machine Fault Diagnosis", IEEE/ASME Transactions on Mechatronics, Volume 28, Issue 2, Pages 770 - 780, April 2023
- Y.Y Huang, C.H. Leung, S.M. Ma, Z.R. Yuan, Q. Wu, S.Y. Wang, D.D. Wang, Z.X. Huang, "Towards Balanced Representation Learning for Credit Policy Evaluation", In Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS), Volume 206, Pages 3677 - 3692, 25-27 April 2023
MARCH 2023
- W.L. Liu, J.H. Pan, X.Y. Zhang, X.X. Gong, Y. Ye, X.J. Zhao, X. Wang, Kent Wu, H. Xiang, Q.P. Zhang, "Cross-platform Product Matching Based on Knowledge Graph" In: Yang, S., Islam, S. (eds) Web and Big Data. APWeb-WAIM 2022 International Workshops. APWeb-WAIM 2022. Communications in Computer and Information Science, vol 1784. Springer, Singapore, March 2023
- X. Pan, M.H. Chen, T.Y. Zhao, Steven H. Low, "DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems", IEEE Systems Journal, Vol. 17, Issue: 1, Pages 673 - 683, March 2023
- T. Li, L.Q. Song, "Federated Online Learning Aided Multi-Objective Proactive Caching in Heterogeneous Edge Networks", IEEE Transactions on Cognitive Communications and Networking, Page 1-1, March 2023
FEBRUARY 2023
- D. Wu, L.H. Yang, "Butterfly Implied Returns", SSRN, February 2023
- H.Z. Li, J. Wang, "CAPKM++2.0: An Upgraded Version of The Collaborative Annealing Power k-Means++ Clustering Algorithm", Knowledge-Based Systems, Volume 262, 110241, February 2023
- W.L. Liu, J.H. Pan, X.Y. Zhang, X.X. Gong, Y. Ye, X.J. Zhao, X. Wang, Kent Wu, H. Xiang, H.M. Yan, Q.P. Zhang, "Cross-Platform Product Matching Based on Entity Alignment of Knowledge Graph with Raea Model", World Wide Web, February 2023
- T.Y. Zhao, X. Pan, M.H. Chen, Steven H. Low, "Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints", in Proceedings of 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, 02 February 2023
JANUARY 2023
- Z. Zheng, Z.J. Zhang, "A Stochastic Recurrent Encoder Decoder Network for Multistep Probabilistic Wind Power Predictions", IEEE Transactions on Neural Networks and Learning Systems ( Early Access ), Pages 1 -14, January 2023
- Y.Y. Chen, Q. Wu, D. Li, "Counter-cyclical Margins for Option Portfolios", Journal of Economic Dynamics and Control, Vol. 146, 104572, January 2023
- M. Zhou, M.H. Chen, Stevn H. Low, "DeepOPF-FT: One Deep Neural Network for Multiple AC-OPF Problems with Flexible Topology", IEEE Transactions on Power System, Volume 38, Issue 1, Pages 964 - 967, January 2023
- J. Wang, X. Gan, "Neurodynamics-Driven Portfolio Optimization with Targeted Performance Criteria", Neural Networks, Volume 157, Pages 404-421, January 2023
- W.J. Xu, T.T. Cui, M.H. Chen, "Optimizing Two-Truck Platooning With Deadlines", IEEE Transactions on Intelligent Transportation Systems, Volume 24, Issue 1, Pages 694 - 705, January 2023
DECEMBER 2022
- Z.R. Yuan, X.X. Hu, Q. Wu, S.M. Ma, C.H. Leung, X.Shen, Y.Y. Huang, "A Unified Domain Adaptation Framework with Distinctive Divergence Analysis", Transaction on Machine Learning Research, December 2022
- S.Q. Liu, S.Y. Man, L.Q. Song, "An NLP-Empowered Virtual Course Assistant for Online Teaching and Learning", In 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), 23280815, 04-07 December 2022
- T. Mao, D.X. Zhou, "Approximation of Functions from Korobov Spaces by Deep Convolutional Neural Networks", Advances in Computational Mathematics, Vol 48, Issue 6, December 2022
- M.F. Leung, J. Wang, D. Li, "Decentralized Robust Portfolio Optimization Based on Cooperative-Competitive Multiagent Systems", IEEE Transactions on Cybernetics, Vol. 52, Issue 12, Pages 12785-12794, December 2022
- J.S. Zeng, Y.D. Xie, X.L. Yu, J. Lee, D.X. Zhou, "Enhancing Automatic Readability Assessment with Pre-training and Soft Labels for Ordinal Regression", In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 4557–4568, Abu Dhabi, United Arab Emirates, 7-11 December 2022
- Z.L. Mo, Z.J. Zhang, Q. Miao, K.L. Tsui, "Sparsity-Constrained Invariant Risk Minimization for Domain Generalization With Application to Machinery Fault Diagnosis Modeling", IEEE Transactions on Cybernetics ( Early Access ), Pages 1 -3, December 2022
NOVEMBER 2022
- T. Mao, Z.J. Shi, D.X. Zhou, "Approximating Functions with Multi-features by Deep Convolutional Neural Networks", Analysis and Applications, Volume 21, Issue 01, Pages 93-125, November 2022
- H.Z. Li, J. Wang, "Collaborative Annealing Power k-means++ Clustering", Knowledge-Based Systems, Volume 255, 109593, November 2022
- Y.Y Huang, C.H. Leung, S.M. Ma, Q. Wu, D.D. Wang, Z.X. Huang, "Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information", In Pacific Rim International Conference on Artificial Intelligence 2022: Trends in Artificial Intelligence, 04 November 2022
- X. Guo, J.H. Lin, D.X. Zhou, "Rates of Convergence of Randomized Kaczmarz Algorithms in Hilbert Spaces", Applied and Computational Harmonic Analysis, Vol. 61, Pages 288-318, November 2022
- P.Y. Wang, Y.W. Lei, Y.M. Ying, D.X. Zhou, "Stability and Generalization for Markov Chain Stochastic Gradient Methods", In Proceedings of Neural Information Processing Systems (NeurIPS) 2022, New Orleans, 28 November - 1 December, 2022
- C.J. Cai, Y.C. Zang, C. Wang, X.H. Jia, Q. Wang, "Vizard: A Metadata-hiding Data Analytic System with End-to-End Policy Controls", In CCS '22: 2022 ACM SIGSAC Conference on Computer and Communications Security, CA, Los Angeles, USA, Pages 441 - 454, 7 -11 November 2022
SEPTEMBER 2022
- G.F. Yan, T. Li, S.L Huang, T. Lan, L.Q. Song, "AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning", IEEE Journal on Selected Areas in Communications, Volume: 40, Issue: 9, Pages 2678-2693, September 2022
- M.F. Leung, J. Wang, H.J. Che, "Cardinality-Constrained Portfolio Selection Via Two-Timescale Duplex Neurodynamic Optimization", Neural Networks, Volume 153, Pages 399-410, September 2022
JULY 2022
- Y. Hu, Z.A. Huang, R. Liu, X.M. Xue, L.Q. Song, Tan K. Chen, "A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans", In 2022 International Joint Conference on Neural Network (IJCNN), Pages 1-8, 18-23 July 2022
- J. Xu, S.L. Huang, L.Q. Song, T. Lan, "Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering", In 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS), Pages 1223-1235, 10-13 July 2022
- H. Feng, S.Z. Hou, L.Y. Wei, D.X. Zhou, "CNN models for readability of Chinese Texts", Mathematical Foundations of Computing, Volume 5, Issue 4, Pages 351-362, July 2022
- Y.Y. Huang, C.H. Leung, Q. Wu, X. Yan, S.M. Ma, Z.R. Yuan, D.D. Wang, Z.X. Huang, "Robust Causal Learning for the Estimation of Average Treatment Effects", In 2022 International Joint Conference on Neural Networks (IJCNN), Pages 1-9, Padua, Italy, 18 - 23 July 2022
- W. Shao, L. Huang, S.Q. Liu, S.H. Ma, L.Q. Song, "Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models", In 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, Pages. 1-9, 18-23 July 2022
- S.B. Lin, K.D. Wang, Y. Wang, D.X. Zhou, "Universal Consistency of Deep Convolutional Neural Networks", IEEE Transactions on Information Theory, Vol. 68, Issue: 7, Pages 4610 - 4617, July 2022
- H. Wu, H.C. Tan, K. Xu, S.Q. Liu, L. W. Wu, L.Q. Song, "Zero-shot Cross-lingual Conversational Semantic Role Labeling", Findings of the Association for Computational Linguistics: NAACL 2022, Pages 269–281, Seattle, United States. Association for Computational Linguistics, July 2022
MAY 2022
- H.C. Tan, W. Shao, H. Wu, K. Yang, L.Q. Song, "A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings", Findings of the Association for Computational Linguistics: ACL 2022, Pages 246 -256, May 2022
- C. Ma, J.Y. Pu, X.F. Liu, D. N. Hu, "Adaptive Innovation Diffusion: Two-way Spillover Effect of Cryptocurrency and Blockchain Diffusion", in The virtual 72nd Annual International Communication Association Conference (ICA2022), Paris, France, 26-30 May 2022
- A. Bodaghi, J. Oliveira, Jonathan J.H. Zhu, "The Rumor Categorizer: An Open-Source Software for Analyzing Rumor Posts on Twitter", Software Impacts, Vol. 12, 100232, May 2022
- J.Y. Pu, X.F. Liu, "To Defend Rights Online: The Roles of Internet Self-Efficacy and Privacy Concern in Online Rights-Defending Participation", In The virtual 72nd Annual International Communication Association Conference (ICA2022), Paris, France, 26-30 May 2022
APRIL 2022
- T. Li, L.Q. Song, "Federated Adaptive Bandits Aided Caching for Heterogeneous Edge Servers with Uncertainty", In 2022 IEEE Wireless Communications and Networking Conference (WCNC), Pages 1904-1909, 10-13 April 2022
- Y. Ye, Q.P. Zhang, Z.D. Cao, Frank Y.H. Chen, H.M. Yan, H. Eugene Stanley, Daniel D.J Zeng, "Impacts of Export Restrictions on the Global Personal Protective Equipment Trade Network During COVID-19", Advanced Theory and Simulations, Volume 5, Issue 4, April 2022
MARCH 2022
- Y. Amonkar, David. J. Farnham, U. Lall, "A k-Nearest Neighbor Space-Time Simulator with Applications to Large-Scale Wind and Solar Power Modeling", Patterns, Vol 3, Issue 3, 100454, March 2022
- Z. Zheng, L. Wang, L.X. Yang, Z.J. Zhang, "Generative Probabilistic Wind Speed Forecasting: A Variational Recurrent Autoencoder Based Method", IEEE Transactions on Power Systems, Volume 37, Issue 2, Pages 1386 - 1398, March 2022
- T. Li, L.Q. Song, "Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits", IEEE Journal on Selected Areas in Communications, Vol. 40, Issue: 3, Pages 773-787, March 2022
JANUARY 2022
- M.F. Leung, J. Wang, "Cardinality-Constrained Portfolio Selection Based on Collaborative Neurodynamic Optimization", Neural Networks, Volume 145, Pages 68-79, January 2022
- X.Y. Feng, Y.Y. Xie & H.M. Yan, "Price Competition in the Random Coefficient Attraction Choice Models with Linear Cost", Journal of the Operations Research Society of China, Volume 10, Issue 3, Pages 623-658, January 2022
DECEMBER 2021
- H.Z. Li, J. Wang, "A Collaborative Neurodynamic Optimization Algorithm Based on Boltzmann Machines for Solving the Traveling Salesman Problem", In 11th International Conference on Intelligent Control and Information Processing Dali, China, Pages 325-33, 03-07 December 2021
- M.F. Leung, J. Wang, H.J. Che, "Another Two-Timescale Duplex Neurodynamic Approach to Portfolio Selection", In 2021 11th International Conference on Intelligent Control and Information Processing (ICICIP), Dali, China, Pages 387-391, 03-07 December 2021
- H. Feng, S. Huang, D.X. Zhou, "Generalization Analysis of CNNs for Classification on Spheres", IEEE Transactions on Neural Networks and Learning Systems, Pages 1-14, December 2021
- R. Zhang, H.Z. Li, J. Wang, "Index Tracking Based on Dynamic Time Warping and Constrained k-medoids Clustering", In 2021 11th International Conference on Intelligent Control and Information Processing (ICICIP), IEEE, Pages 352-359, 03-07 December 2021
- X.L. Li, S.Q. Liu, X.Y. Zhang, L.Q. Song, "Predicting Downside in Stock Market Using Knowledge and News Data", In 2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS), Pages 34-41, 14-16 December 2021
- T. Mao, Z.J. Shi, D.X. Zhou, "Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions", Neural Networks, Volume 144, Pages 778-790, December 2021
- Y. Cao, Z.Y. Fang, Y. Wu, D.X. Zhou, Q.Q. Gu, "Towards Understanding the Spectral Bias of Deep Learning", In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Main Track. Pages 2205-2211, December 2021
NOVEMBER 2021
- J. Wu, Z.C. Zhang, Sean X. Zhou, "Credit Rating Prediction Through Supply Chains: A Machine Learning Approach", Production and Operations Management, Volume 31, Issue 4, Pages 1613-1629, November 2021
- S. Agca, V. Babich, John R. Birge, J. Wu, "Credit Shock Propagation Along Supply Chains: Evidence from the CDS Market", Articles in Advance, pp. 1–33, ISSN 0025-1909, 71 pages in SSRN; Management Science, Volume 68, Issue 9, Pages 6506-6538, November 2021
- A. Bodaghi, J. Oliveira, Jonathan J.H. Zhu, "The Fake News Graph Analyzer: An Open-Source Software for Characterizing Spreaders in Large Diffusion Graphs", Software Impacts Vol. 10, 100182, November 2021
JULY 2021
- M.F. Leung, J. Wang, "Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization", IEEE Transactions On Neutral Networks and Learning Systems, Vol. 32, Issue 7, Pages 2825-2836, July 2021
- L. Guan, Y.F. Zhang, Jonathan J.H. Zhu, "Predicting Information Exposure and Continuous Consumption: Self-Level Interest Similarity, Peer-Level Interest Similarity, and Global Popularity", Online Information Review, Vol. 46, Issue 2, Pages 337-355, July 2021
MAY 2021
- X.F. Liu, H.H. Ren, S.H. Liu & X.J. Jiang, "Characterizing Key Agents in the Cryptocurrency Economy Through Blockchain Transaction Analysis", EPJ Data Science, Vol. 10, Article 21, May 2021
- Y.Q. Zhang, Q. Wu, N.B. Peng, M. Dai, J. Zhang, H. Wang, "Memory-Gated Recurrent Networks", The Thirty-Fifth AAAI Conference on Artificial Intelligence ( AAAI-21), Volume 35, Issue 12, Pages 10956-10963, 18 May 2021
- Y.Y. Huang, C.H. Leung, X. Yan, Q. Wu, N.B. Peng, D.D. Wang, Z.X. Huang, "The Causal Learning of Retail Delinquency", In The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), Volume 35, Issue 1, Pages 204-212, 18 May 2021
- Y.F. Zhang, L. Wang, Jonathan J.H. Zhu, X.F. Wang & Alex S. Pentland, "The Strength of Structural Diversity in Online Social Networks", AAAS Research Volume 2021, Article ID 9831621, 10 pages, May 2021
- Y.H. Zhang, X.F. Liu, "Traffic Redundancy in Blockchain Systems: The Impact of Logical and Physical Network Structures", In 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Pages 1-5, 22-28 May 2021
MARCH 2021
- S.H. Liu, X.F. Liu, "Co-Investment Network of ERC-20 Tokens: Network Structure Versus Market Performance", Frontiers in Physics, Vol 9, Article 631659, March 2021
- X.J. Jiang, X.F. Liu, "CryptoKitties Transaction Network Analysis: The Rise and Fall of the First Blockchain Game Mania", Frontiers in Physics, Vol 9, Article 631665, March 2021
FEBRUARY 2021
- C.J. Wang, Jonathan J.H. Zhu, "Jumping Over the Network Threshold of Information Diffusion: Testing the Threshold Hypothesis of Social Influence", Interest Research, Vol. 31, Issue 5, Pages 1677-1694, February 2021
- X.F. Liu, X.J. Jiang, S.H. Liu, C.K. Tse, "Knowledge Discovery in Cryptocurrency Transactions: A Survey", IEEE Access, Vol. 9, Pages 37229-37254, February 2021
JANUARY 2021
- Y.F. Zhang, L. Wang, Jonathan J.H. Zhu, X.F. Wang, "Conspiracy vs Science: A Large-scale Analysis of Online Discussion Cascades", World Wide Web-Internet and Web Information Systems, Vol. 24, Issue 2, Pages 585-606, January 2021
- J.S. Zeng, S.B. Lin, Y. Yao, D.X. Zhou, "On ADMM in Deep Learning: Convergence and Saturation-Avoidance", The Journal of Machine Learning Research, Vol. 22, Issue 1, Article No.: 199, Pages 9024-9090, January 2021
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