Menu
学术刊物
(仅以英文显示)
Year
Paper
NOVEMBER 2023
- Z. Zheng, Z.J. Zhang, “A Temporal Convolutional Recurrent Autoencoder Based Framework for Compressing Time Series Data”, Applied Soft Computing, Volume 147, Pages 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, No. 4, Pages 753-770, November 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.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, No. 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, No. 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 Reserch, 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, Vol. 21, No. 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, No. 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, Vol 68, No. 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), Vol. 35, No. 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), Vol. 35, No. 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
版权所有 © 2023 人工智能金融科技实验室有限公司