Menu
Publications
Author
Paper
Prof. Jonathan ZHU
- Y.F. Zhang, L. Wang & 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, 2021
- C.J. Wang, "Jumping Over the Network Threshold of Information Diffusion: Testing the Threshold Hypothesis of Social Influence", Interest Research,Vol. 31, Issue 5, Pages 1677-1694, 2021
- L. Guan & Y.F. Zhang, "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, 2021
- L. Hou & Y.L. Pan, "Impact of Scientific, Economic, Geopolitical, and Cultural Factors on International Research Collaboration", Journal of Informetrics, Vol. 15, Issue 3,101194, 2021
- Y.F. Zhang, L. Wang, X.F. Wang & A.S. Pentland, "The Strength of Structural Diversity in Online Social Networks", AAAS Research Volume 2021, Article ID 9831621, 10 pages, 2021
- A. Bodaghi & J. Oliveira"The fake news graph analyzer: An open-source software for characterizing spreaders in large diffusion graphs", Software Impacts Vol. 10, 100182, Nov 2021
- L. Guan & H. Liang, "Predicting reposting latency of news content in social media: A focus on issue attention, temporal usage pattern, and information redundancy", Computers in Human Behavior, Volume 127, February 2022, 107080
- A. Bodahi & J. Oliveira, "The Rumor Categorizer: An open-source software for analyzing rumor posts on Twitter", Software Impacts, Vol. 12, 100232, May 2022
Prof. Qi WU
- Y.Y. Huang, C.H. Leung, X. Yan, N.B. Peng, D.D. Wang & Z.X. Huang "The Causal Learning of Retail Delinquency", The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), Vol. 35, No. 1, Pages 204-212, 2021
- Y.Q. Zhang, 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, 2021
Prof. Minghua CHEN
- Q. Lin, M.F. Mo & J.Y. Su, "Competitive Online Optimization with Multiple Inventories: A Divide-and-Conquer Approach", in Proceedings of the ACM on Measurement and Analysis of Computing Systems, Vol. 6, Issue 2, Article No.: 36, pp 1–28, June 2022
- X. P, T.Y. Zhao & S.H. Low, "DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems", in IEEE Systems Journal, Vol. 17, Issue: 1, Pages 673 - 683, Sep 2022
Prof. Jun WANG
- M.F. Leung, "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, 2021
- M.F. Leung and D. Li, "Decentralized Robust Portfolio Optimization Based on Cooperative-Competitive Multiagent Systems", IEEE Transactions on Cybernetics, Vol. 52, Issue 12, Pages 12785-12794, 2021
- R. Zhang & H.Z. Li,"Index Tracking Based on Dynamic Time Warping and Constrained k-medoids Clustering," 2021 11th International Conference on Intelligent Control and Information Processing (ICICIP), Dali, China, pp. 352-359, Dec 2021
- M.F. Leung & H.J. Che, "Another Two-Timescale Duplex Neurodynamic Approach to Portfolio Selection," 2021 11th International Conference on Intelligent Control and Information Processing (ICICIP), Dali, China, pp. 387-391, 2021
- H.Z. Li, "A Collaborative Neurodynamic Optimization Algorithm Based on Boltzmann Machines for Solving the Traveling Salesman Problem", 11th International Conference on Intelligent Control and Information Processing Dali, China, December 3-7 2021, Pages 325-33
- R. Zhang & H.Z. Li, "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, 3-7 Dec 2021, Pages 352-359
- M.F. Leung, "Cardinality-constrained portfolio selection based on collaborative neurodynamic optimization", in Neural Networks, Volume 145, Pages 68-79, January 2022
- Q. Lin, M.F. Mo & J.Y. Su, "Competitive Online Optimization with Multiple Inventories: A Divide-and-Conquer Approach", in Proceedings of the ACM on Measurement and Analysis of Computing Systems, Volume 6, Issue 2, Article No.: 36, pp 1–28, June 2022
- M.F. Leung & H.J. Che, "Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization", in Neural Networks, Volume 153, Pages 399-410, Sep 2022
Prof. Dingxuan ZHOU
- J.S. Zeng, S.B. Lin & Y.Yao, "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, 2021
- Z. Yu, Daniel Ho & Z.J. Shi, "Robust Kernel-Based Distribution Regression", Inverse Problems, Vol 37, 105014, 2021
- Y. Cao, Z.Y. Fang, Y. Wu & 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, 2021
- H. Feng & S. Huang,"Generalization Analysis of CNNs for Classification on Spheres", in IEEE Transactions on Neural Networks and Learning Systems, PP(99), Pages 1-14, 23 Dec 2021
- T. Mao & Z.J. Shi"Theory of deep convolutional neural networks III: Approximating radial functions", in Neural Networks, Volume 144, Pages 778-790, Dec 2021
- S.B. Lin, K.D. Wang & Y. Wang, "Universal Consistency of Deep Convolutional Neural Networks", in IEEE Transactions on Information Theory, Vol. 68, Issue: 7, Pages 4610 - 4617, July 2022
- X. Guo & J.H. Lin, "Rates of Convergence of Randomized Kaczmarz Algorithms in Hilbert Spaces", in Applied and Computational Harmonic Analysis, Vol. 61, Pages 288-318, Nov 2022
- T. Mao, "Approximation of Functions from Korobov Spaces by Deep Convolutional Neural Networks", Advances in Computational Mathematics, Vol. 48, Issue 7 Dec 2022
Dr. Xiaofan LIU
- X.J. Jiang, Liu, S.H. Liu, C.K. Tse, "Knowledge Discovery in Cryptocurrency Transactions: A Survey", IEEE Access, Vol. 9, Pages 37229-37254, 2021
- X.J. Jiang, " CryptoKitties Transaction Network Analysis: The Rise and Fall of the First Blockchain Game Mania", Frontiers in Physics, Vol 9, Article 631665, 2021
- S.H. Liu, "Co-Investment Network of ERC-20 Tokens: Network Structure Versus Market Performance", Frontiers in Physics, Vol 9, Article 631659, 2021
- Y.H. Zhang, "Traffic Redundancy in Blockchain Systems: The Impact of Logical and Physical Network Structures", 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Pages 1-5, 2021
- 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, 2021
- J. Pu, "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
- C. Ma, J. Pu & D. 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
Dr. Linqi SONG
- X.L. Li, S. Liu & X.Y. Zhang, "Predicting Downside in Stock Market Using Knowledge and News Data", 2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS), Pages 34-41, 14-16 Dec 2021
- T. Li, "Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits", in IEEE Journal on Selected Areas in Communications, vol. 40, Issue: 3, 7, pp. 773-78, March 2022
- H.C. Tan, W. Shao, H. Wu & K. Yang, "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
- H. Wu, H.C. Tan, K. Xu, S. Liu & L. Wu, "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
- J. Xu, S.L. Huang and T. Lan, "Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering", 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS), Pages 1223-1235, 10-13 July 2022
- Y. Hu, Z.A. Huang, R. Liu, X.M. Xue & K.C. Tan, "A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans", 2022 International Joint Conference on Neural Network (IJCNN), Pages 1-8, 18-23 July 2022
- W. Shao, L. Huang, S. Liu & S. Ma, "Towards Better Understanding with Uniformity and Explicit Regularization of Embeddings in Embedding-based Neural Topic Models", 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, Pages. 1-9, 18-23 July 2022
- G.F. Yan, T. Li, S.L Huang & T. Lan, "AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning", in IEEE Journal on Selected Areas in Communications, Volume: 40, Issue: 9, Pages 2678-2693, September 2022
- T. Li, "Federated Adaptive Bandits Aided Caching for Heterogeneous Edge Servers with Uncertainty", 2022 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1904-1909, 2022
Dr. Jing WU
- Z.C. Zhang & S.X. Zhou, "Credit Rating Prediction Through Supply Chains: A Machine Learning Approach", Production and Operations Management, Volume 31, Issue 4, Pages 1613-1629, Nov 2021
- S. Agca, V. Babich & J.R. Birge, "Credit Shock Propagation Along Supply Chains: Evidence from the CDS Market", in Articles in Advance, pp. 1–33, ISSN 0025-1909, 71 pages in SSRN; In Management Science, Vol 68, No. 9, Pages 6506-6538, Nov 2021
Address
Units 1101-1102 & 1121-1123,
Building 19W Science Park West Avenue,
Hong Kong Science Park,
Shatin, Hong Kong
Our Contact
Research
Products & Solutions
People
Careers
About Us
Contact Us
Address
-
Units 1101-1102 & 1121-1123,
Building 19W Science Park West Avenue,
Hong Kong Science Park,
Shatin, Hong Kong
Our Contact
Copyright © 2023 Laboratory for AI-Powered Financial Technologies Ltd. All Rights Reserved.