Journal

• L. Chen, D. Zhao, L. Tao, K. Wang, S. Qian, X. Zeng and C. W. Tan, A Credible and Fair Federated Learning Framework Based on Blockchain, IEEE Transactions on Artificial Intelligence, 2024.
• Y. Jiang, J. Shen, Z. Liu, C. W. Tan, K.-Y. Lam, Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning, IEEE Transactions on Information Forensics & Security, 2024.
• Y. Zhang, T. Gao, C. Li and C. W. Tan, Coded Federated Learning for Communication-Efficient Edge Computing: A Survey, IEEE Open Journal of the Communications Society, Vol. 5, pp. 4098-4124, 2024.
• L. Tao, Y. Lu, Y. Fan, L. Shi, C. W. Tan, Z. Wei, Throughput-Scalable Shard Reorganization Tailored to Node Relations in Sharding Blockchain Networks, IEEE Transactions on Computational Social Systems, 2024.
• S. Chen, C. W. Tan, X. Zhai and H. V. Poor, OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation with Optimization-based Deep Learning, IEEE Transactions on Green Communications and Networking, 2024.
• L. Chen, W. Zhang, C. Dong, D. Zhao, X. Zeng, S. Qiao, Y. Zhu, C. W. Tan, FedTKD: A Trustworthy Heterogeneous Federated Learning Based on Adaptive Knowledge Distillation, Entropy, 26(1), 96, 2024.
• L. Chen, W. Zhang, C. Dong, Z. Huang, Y. Nie, Z. Hou, S. Qiao, C. W. Tan, FedDRL: Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning, Computing and Informatics, 43(1): pp. 1-37, 2024.
• D. T. K. Ng, C. W. Tan, J. K. L Leung, Empowering Student Self-regulated Learning and Science Education through ChatGPT: A Pioneering Pilot Study, British Journal of Educational Technology, Vol. 55, Issue 4, pp. 1328-1353, 2024.
• C. N. Hang, P. D. Yu and C. W. Tan, MCQGen: A Large Language Model-Driven MCQ Generator for Personalized Learning, IEEE Access, Vol. 12, pp. 102261-102273, 2024.
• J.-Y. Zeng, F.-H. Tseng and C. W. Tan, Physical Adversarial Example in Car Plate Recognition Systems based on SA Algorithm, IEEE Consumer Electronics Magazine, 2024.
• M. F. Wong, S. Guo, C.-N. Hang, S.-W. Ho and C. W. Tan, Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review, Entropy, 25(6): 888, 2023.
• P. D. Yu and C. W. Tan, Unraveling the Viral Spread of Misinformation: Maximum-Likelihood Estimation and Starlike Tree Approximation in Markovian Spreading Models, under review.
• C. W. Tan and P. D. Yu, Contagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms, Foundations and Trends in Networking, Vol. 13, No. 2-3, pp. 107-251, Now Publishers, 2023.
• C. N. Hang, P. D. Yu, S. Chen, C. W. Tan and G. Chen, MEGA: Machine Learning-Enhanced Graph Analytics for Infodemic Risk Management, IEEE Journal of Biomedical and Health Informatics, Vol. 27, No. 12, pp. 6100-6111, 2023.
• C. N. Hang, Y.-Z. Tsai, P.-D. Yu, J. Chen, C. W. Tan, Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review, Big Data and Cognitive Computing, Special issue on digital health and data analytics in public health, Vol. 7, No. 2, 108, 2023.
• C. Li, Y. Zhang and C. W. Tan, Fault-Tolerant Computation Meets Network Coding: Optimal Scheduling in Parallel Computing, IEEE Transactions on Communications, Vol. 71, No. 7, pp. 3847-3860, 2023.
• Y. Zhang, C. Li and C. W. Tan, On Symmetric Multilevel Diversity Coding System with Linear Computations, IEEE Communications Letter, Vol. 27, No. 8, pp. 1994-1998, 2023.
• M. F. Wong, X. Qi and C. W. Tan, EuclidNet: Deep Visual Reasoning for Constructible Problems in Geometry, Advances in Artificial Intelligence and Machine Learning, Vol. 3, No. 1, pp. 839-852, 2023.
• P. Yu, C. W. Tan and H. L. Fu, Epidemic Source Detection in Contact Tracing Networks: Epidemic Centrality in Graphs and Message-Passing Algorithms, IEEE Journal on Selected Topics in Signal Processing, Vol. 16, No. 2, pp. 234-249, 2022.
• Z. Fei, Y. Ryeznik, O. Sverdlov, C. W. Tan and W. K. Wong, An Overview of Healthcare Data Analytics with Applications to the COVID-19 Pandemic, IEEE Transactions on Big Data, Vol. 8, No. 6, pp. 1463-1480, 2022.
• C. W. Tan, The Value of Cooperation: From AIMD to Flipped Classroom Teaching, ACM SIGMETRICS Performance Evaluation Review, Vol. 49, No. 4, pp. 8-13, 2022.
• S. W. Ho, L. Ling, C. W. Tan and R. W. Yeung, Proving and Disproving Information Inequalities: Theory and Scalable Algorithms, IEEE Transactions on Information Theory, Vol. 66, No. 9, pp. 5522-5536, 2020.
• S. Liu, C. Joe-Wong, J. Chen, C. Brinton, C. W. Tan and L. Zheng, Economic Viability of a Virtual ISP, IEEE/ACM Transactions on Networking, Vol. 28, No. 2, pp. 902-916, 2020.
• P.-D. Yu, C. W. Tan and H. Fu, Averting Cascading Failures in Networked Infrastructures: Poset-constrained Graph Algorithms, IEEE Journal of Selected Topics in Signal Processing, Vol. 12, No. 4, pp.733-748, 2018.
• C. Li, X. Guang, C. W. Tan and R. W. Yeung, Fundamental Limits on a Class of Secure Asymmetric Multilevel Diversity Coding Systems, IEEE Journal on Selected Areas in Communication, Vol. 36, No. 4, pp. 737-747, 2018.
• D. Li, X. Guang, Z. Zhou, C. Li and C. W. Tan, Hierarchical Performance Analysis on Random Linear Network Coding, IEEE Transactions on Communications, Vol. 66, No. 5, pp.2009-2021, 2018.
• L. Zheng, D. Cai and C. W. Tan, Max-min Fairness Rate Control in Wireless Networks: Optimality and Algorithms by Perron-Frobenius Theory, IEEE Transactions on Mobile Computing, Vol. 17, No. 1, pp.127-140, 2018.
• L. Zheng, C. Joe-Wong, C. W. Tan, S. Ha and M. Chiang, Customized Data Plans for Mobile Users: Feasibility and Benefits of Data Trading, IEEE Journal on Selected Areas in Communication, Vol. 35, No. 4, pp. 949-963, 2017.
• F. M. F. Wong, C. W. Tan, S. Sen and M. Chiang, Quantifying Political Leaning from Tweets, Retweets and Retweeters, IEEE Transactions on Knowledge and Data Engineering, Vol. 28, No. 8, pp. 2158-2172, 2016.
• L. Zheng, C. Joe-Wong, C. W. Tan, M. Chiang and X. Wang, How to Bid the Cloud?, ACM SIGCOMM Computer Communication Review, Vol. 45, No. 5, pp. 71-84, 2015.
• C. W. Tan, Optimal Power Control in Rayleigh-fading Heterogeneous Wireless Networks, IEEE/ACM Transactions on Networking, Vol. 24, No. 2, pp. 940-953, 2016.
• L. Zheng, Y. W. Hong, C. W. Tan, C. L. Hsieh and C. H. Lee, Wireless Max-min Utility Fairness with General Monotonic Constraints by Perron-Frobenius Theory, IEEE Transactions on Information Theory, Vol. 62, No. 12, pp. 7283-7298, 2016.
• Y. Gao, C. W. Tan, Y. Huang, Z. Zeng and P. R. Kumar, Characterization and Optimization of Delay Guarantees for Real-time Multimedia Traffic Flows in IEEE802.11 WLANs, IEEE Transactions on Mobile Computing, Vol. 15, No. 5, pp. 1090-1104, 2016. 
• Z. Wang, W. Dong, W. Zhang and C. W. Tan, Rooting out Rumor Sources in Online Social Networks: The Value of Diversity from Multiple Observations, IEEE Journal of Selected Topics in Signal Processing, special issue on signal processing for big data, Vol. 9, No. 4, pp. 663-677, 2015. Highlighted by MIT Technology Review Blog
• I.-W. Lai, L. Zheng, C.-H. Lee and C. W. Tan, Beamforming Duality and Algorithms for Weighted Sum Rate Maximization in Cognitive Radio Networks, IEEE Journal on Selected Areas in Communications, Vol. 33, No. 5, pp. 832-847, 2015.
• C. W. Tan, D. W. H. Cai and Lou, Resistive Network Optimal Power Flow: Uniqueness and Algorithms, IEEE Transactions on Power Systems, Vol. 30, No. 1, pp. 263-273, 2015.
• N. Chen, C. W. Tan and T. Quek, Electric Vehicle Charging in Smart Grid: Optimality and Valley-Filling Algorithms, IEEE Journal of Selected Topics in Signal Processing, Vol. 8, No. 6, pp. 1073-1083, 2014.
• Lou and C. W. Tan, Optimization Decomposition of Resistive Power Networks with Energy Storage, IEEE Journal on Selected Areas in Communications, Vol. 32, No. 7, pp. 1371-1385, 2014.
• Lou, H. Yao, C. W. Tan and J. Wang, VANDER: Efficient Cooperative Watchdog Monitoring for Lossy Wireless Network Coding, IEEE Transactions on Vehicular Technology, Vol. 64, No. 2, pp. 702-713, 2014.
• X. Zhai, L. Zheng and C. W. Tan, Energy-Infeasibility Tradeoff in Cognitive Radio Networks: Price-Driven Spectrum Access Algorithms, IEEE Journal on Selected Areas in Communications, Vol. 32, No. 3, pp. 528-538, 2014.
• L. Zheng and C. W. Tan, Maximizing Sum Rates in Cognitive Radio Networks: Convex Relaxation and Global Optimization Algorithms, IEEE Journal on Selected Areas in Communications, Vol. 32, No. 3, pp. 667-680, 2014.
• L. Zheng and C. W. Tan, Optimal Algorithms in Wireless Utility Maximization: Proportional Fairness Decomposition and Nonlinear Perron-Frobenius Theory Framework, IEEE Transactions on Wireless Communications, Vol. 13, No. 4, pp. 2086-2095, 2014.
• L. Zheng and C. W. Tan, Egalitarian Fairness Framework for Joint Rate and Power Optimization in Wireless Networks, ACM SIGMETRICS Performance Evaluation Review, Vol. 42, No. 2, pp. 58-60, 2014.
• L. Zheng and C. W. Tan, Cognitive Radio Network Duality and Algorithms for Utility Maximization, IEEE Journal on Selected Areas in Communications, Vol. 31, No. 3, pp. 500-513, 2013.
• C. W. Tan, M. Chiang and R. Srikant, Fast Algorithms and Performance Bounds for Sum Rate Maximization in Wireless Networks, IEEE/ACM Transactions on Networking, Vol. 21, No. 3, pp. 706-719, 2013.
• Y. Huang, C. W. Tan and B. D. Rao, Joint Beamforming and Power Control in Coordinated Multicell: Max-min Duality, Effective Network and Large System Transition, IEEE Transactions on Wireless Communications, Vol. 12, No. 6, pp. 2730-2742, 2013.
• L. Yang, H. Kim, J. Zhang, M. Chiang and C. W. Tan, Pricing-based Decentralized Spectrum Access Control in Cognitive Radio Networks, IEEE/ACM Transactions on Networking, Vol. 21, No. 2, pp. 522-535, 2013.
• S. Sorooshyari, C. W. Tan and M. Chiang, Power Control for Cognitive Radio Networks: Axioms, Algorithms, and Analysis, IEEE/ACM Transactions on Networking, Vol. 20, No. 3, pp. 878-891, 2012.
• D. W. H. Cai, T. Quek, C. W. Tan and S. H. Low, Max-Min SINR Coordinated Multipoint Downlink Transmission - Duality and Algorithms, IEEE Transactions on Signal Processing, Vol. 60, No. 10, pp. 5384-5396, 2012.
• Y. Zhao, C. W. Tan, A. S. Avestimehr, S. N. Diggavi and G. J. Pottie, On the Maximum Achievable Sum-rate with Successive Decoding in Interference Channels, IEEE Transactions on Information Theory, Vol. 58, No. 6, pp. 3798-3820, 2012.
• C. W. Tan, S. Friedland and S. H. Low, Nonnegative Matrix Inequalities and Their Application to Nonconvex Power Control Optimization, SIAM Journal on Matrix Analysis and Applications, Vol. 32, No. 3, pp. 1030-1055, 2011.
• C. W. Tan, M. Chiang and R. Srikant, Maximizing Sum Rate and Minimizing MSE on Multiuser Downlink: Optimality, Fast Algorithms, and Equivalence via Max-min SINR, IEEE Transactions on Signal Processing, Vol. 59, No. 12, pp. 6127-6143, 2011.
• M. Wang, C. W. Tan, W. Xu and A. Tang, Cost of Not Splitting in Routing: Characterization and Estimation, IEEE/ACM Transactions on Networking, Vol. 19, No. 6, pp. 1849-1859, 2011.
• D. W. H. Cai, T. Quek and C. W. Tan, A Unified Analysis of Max-Min Weighted SINR for MIMO Downlink System, IEEE Transactions on Signal Processing, Vol. 59, No. 8, pp. 3850-3862, 2011.
• C. W. Tan, S. Friedland and S. H. Low, Spectrum Management in Multiuser Cognitive Wireless Networks: Optimality and Algorithm, IEEE Journal on Selected Areas in Communications, Vol. 29, No. 2, pp. 421-430, 2011.
• S. Sorooshyari, C. W. Tan and H. V. Poor, On Maximum-Likelihood SINR Estimation of MPSK in a Multiuser Fading Channel, IEEE Transactions on Vehicular Technology, Vol. 59, No. 8, pp. 4175-4181, 2010.
• C. W. Tan and A. R. Calderbank, Multiuser Detection of Alamouti Signals, IEEE Transactions on Communications, Vol. 57, No. 7, pp. 2080-2089, 2009.
• C. W. Tan, D. P. Palomar and M. Chiang, Energy-Robustness Tradeoff in Cellular Network Power Control, IEEE/ACM Transactions on Networking, Vol. 17, No. 3, pp. 912-925, 2009.
• M. Chiang, C. W. Tan, D. P. Palomar, D. O’Neill and D. Julian, Power Control by Geometric Programming, IEEE Transactions on Wireless Communications, Vol. 6, No. 7, pp. 2640-2651, 2007.
• C. W. Tan, D. M. Chiu, John C. S. Lui and K. Yau, A Distributed Throttling Approach for Handling High Bandwidth Aggregates, IEEE Transactions on Parallel and Distributed Systems, Vol. 18, No. 7, pp. 983-995, 2007.
• C. W. Tan, G. Mohan and John C. S. Lui, Achieving Multi-Class Service Differentiation in WDM Optical Burst Switching Networks: A Probabilistic Preemptive Burst Segmentation Scheme, IEEE Journal on Selected Areas in Communications, Vol. 24, No. 12, pp. 106-119, 2006.

Conference

• M. F. Wong and C. W. Tan, Aligning Crowd-sourced Human Feedback for Code Generation with Bayesian Inference, 2024 IEEE Conference on Artificial Intelligence (CAI), 2024 (Honorable Mention Paper Award in Foundation Models and Generative AI Category).
• Md T. R. Laskar, S. Alqahtani, M. S. Bari, M. Rahman, M. A. M. Khan, H. Khan, I. Jahan, Md A. H. Bhuiyan, C. W. Tan, Md R. Parvez, E. Hoque, S. Joty and X. Huang, A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.  
• C. Hang, P.-D. Yu and C. W. Tan, TrumorGPT: Query Optimization and Semantic Reasoning for Automated Fact-checking, 58th Conference on Information Sciences and Systems (CISS), 2024.
• P.-D. Yu, L. Zheng and C. W. Tan, Contagion Source Detection by Maximum Likelihood Estimation and Starlike Graph Approximation, 58th Conference on Information Sciences and Systems (CISS), 2024.
• S. Chen and C. W. Tan, Neural Sum Rate Maximization for AI-Native Wireless Networks: Alternating Direction Method of Multipliers Framework and Algorithm Unrolling, ACM MobiSys 2024 International Workshop on Networked AI Systems, 2024.
• H. Liang, Z. Zhan, W. Liu, X. Zhang, C. W. Tan and X. Chen, FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients, 27th European Conference on Artificial Intelligence, 2024.
• T. Gao, J. Lin, C. Li and C. W. Tan, Federated Learning Meets Network Coding: Efficient Coded Hierarchical Federated Learning, IEEE Information Theory Workshop, 2024.
• Y. Jiang, C. W. Tan and K.-Y. Lam, Accelerating Federated Unlearning via Polyak Heavy Ball Method, IEEE Information Theory Workshop, 2024.
• K. Wang, C. W. Tan and C. Brinton, Maximizing User Admittance for Cognitive Radio using ODE-inspired Spectral Radius Estimation, IEEE Information Theory Workshop, 2024.
• C. Zhao, Z. Wang, Q. Zhou, C. W. Tan and C. Chan, Infodemic Source Detection: Enhanced Formulations with Information Flow, IEEE International Symposium on Information Theory (ISIT), 2024.
• S. Fu, X. Zhai, C. Yi, L. Pang and C. W. Tan, Energy Efficient and Low Latency Computation Offloading via Truly PPO in Mobile Edge Computing Networks with Multi-UAV, The 17th IEEE International Conference on Internet of Things (iThings), 2024.
• Y. Wang, S. Guo, L. Ling and C. W. Tan, Nemobot: Crafting Strategic Gaming LLM Agents for K-12 AI Education, ACM Learning at Scale, 2024.
• S. C. Fung, M. F. Wong and C. W. Tan, Automatic Feedback Generation on K-12 Students’ Data Science Education by Prompting Cloud-based Large Language Models, ACM Learning at Scale, 2024.
• C. W. Tan, Flipped Classroom Teaching with Large Language Models: Peer Instruction and Just-in-Time Teaching, IEEE CAI 2024 Workshop on AI for Education: Exploring LLMs and Adaptive Learning for Personalized Education (CAI'24-AI4EDU), 2024.
• C. W. Tan, S. Guo, M. F. Wong, Copilot for Xcode: Exploring AI-Assisted Programming by Prompting Cloud-based Large Language Models, Symposium on Large Language Models (LLM 2023), 2023.
• S. Chen and C. W. Tan, Neural Sum Rate Maximization with Deep Unrolling, IEEE Global Communications (Globecom), 2023.
• C. Zhang, D. Song, C. W. Tan and C. Li, Predictive Beam Tracking in ISAC Based on Transceiver Division Structure, 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2023.
• K. Zhao, X. Bryce Zhai, J. Zhu and C. W. Tan, Formation Control Optimization via Virtual Leader Exploration with Deep Reinforcement Learning for Unmanned Aerial Vehicles, IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), 2023.

Monographs and Edited Books

• C. W. Tan (Ed.), Online Social Networks: Perspectives, Applications and Developments, Nova Science Publishers, 2020.
• C. W. Tan, Wireless Network Optimization by Perron-Frobenius Theory, Foundations and Trends in Networking, Now Publishers, ISBN 978-1-680830507, 2015.
• C. W. Tan (Ed.), Cognitive Radio Networks: Performance, Applications and Technology, Nova Science Publishers, 2017.
• M. Chiang, P. Hande, T. Lan, C. W. Tan, Power Control in Wireless Cellular Networks, Foundations and Trends in Networking, Now Publishers, ISBN: 978-1-60198-136-3, 2008.