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Publications
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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. Xiaohua JIA
C.J. Cai, Y.C. Zanh, C. Wang & Q. Wang,"Vizard: A Metadata-hiding Data Analytic System with End-to-End Policy Controls", Accepted and to be published in Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (CCS ’22), Los Angeles, Pages 441-454, 7-11 November 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. Cong WANG
"C.J. Cai, Y.C. Zanh, X.H. Jia & Q. Wang,""Vizard: A Metadata-hiding Data Analytic System with End-to-End Policy Controls"", Accepted and to be published in Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (CCS ’22), Los Angeles, Pages 441-454, 7-11 November 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
Prof. Upmanu LALL
Y. Amonkar & D.J. Farnham, "A k-nearest neighbor space-time simulator with applications to large-scale wind and solar power modeling", Patterns, Vol 3, Issue 3, 11 March 2022, 100454, 2022 The Author(s)
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