Chee-Wei Tan

101 papers A* 7B 21C 1Misc 5Journal 58Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Reinforcement Learning Based Block Coordinate Descent for Downlink Weighted Sum-rate Maximization on AI-Native Wireless Networks.
CoRR
Siya Chen, Chee-Wei Tan, H. Vincent Poor
2026 J jnl
FedMTL: Adaptive multi-teacher knowledge distillation for federated continual learning.
Knowl. Based Syst.
Leiming Chen, Dehai Zhao, Yongbiao Gao, Jiehan Zhou, Chee-Wei Tan
2026 J jnl
FedUnit: A Robust and Fair Federated Learning Framework for Malicious Client Detection and Free-Rider Contribution Evaluation.
Appl. Soft Comput.
Leiming Chen, Hina Batool, Xingjie Zeng, Dehai Zhao, Yongsheng Du, Chee-Wei Tan
2026 J jnl
Learning to Optimize by Differentiable Programming.
CoRR
Liping Tao, Xindi Tong, Chee-Wei Tan
2026 J jnl
Online Location Planning for AI-Defined Vehicles: Optimizing Joint Tasks of Order Serving and Spatio-Temporal Heterogeneous Model Fine-Tuning.
IEEE Trans. Mob. Comput.
Bokeng Zheng, Bo Rao, Tianxiang Zhu, Chee-Wei Tan, Jingpu Duan, Zhi Zhou, Xu Chen, Xiaoxi Zhang
2025 B conf
Adversarial Water-Filling: Minimax Resource Allocation Optimization with Proximal Decomposition in Open RAN.
GLOBECOM
Xindi Tong, Chee-Wei Tan, H. Vincent Poor
2025 J jnl
Aligning Crowd-sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models.
CoRR
Man-Fai Wong, Chee-Wei Tan
2025 J jnl
All Points Guided Adversarial Generator for Targeted Attack Against Deep Hashing Retrieval.
IEEE Trans. Inf. Forensics Secur.
Rongxin Tu, Xiangui Kang, Chee-Wei Tan, Chi-Hung Chi, Kwok-Yan Lam
2025 J jnl
Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning.
CoRR
Yu Jiang, Xindi Tong, Ziyao Liu, Xiaoxi Zhang, Kwok-Yan Lam, Chee-Wei Tan
2025 J jnl
Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Yu Jiang, Xindi Tong, Ziyao Liu, Xiaoxi Zhang, Kwok-Yan Lam, Chee-Wei Tan
2025 — conf
Contextual Augmented Multi-Model Programming (CAMP): A Local-Cloud Copilot Solution.
CAI
Yuchen Wang, Shangxin Guo, Chee-Wei Tan
2025 B conf
Deep Unfolding of Fixed-Point Based Algorithm for Weighted Sum Rate Maximization.
ISIT
Jan Christian Riedel, Chee-Wei Tan, Giuseppe Caire
2025 J jnl
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks With Graph Neural Networks.
IEEE Trans. Signal Inf. Process. over Networks
Chee-Wei Tan, Pei-Duo Yu, Siya Chen, H. Vincent Poor
2025 J jnl
Guest Editorial: Special Issue on AI-Driven Technologies in Social Fintech for Enhancing Sustainable Development and Social Responsibility.
IEEE Trans. Comput. Soc. Syst.
Han-Chieh Chao, Hsin-Hung Cho, Sherali Zeadally, Chee-Wei Tan
2025 J jnl
OpenRANet: Neuralized Spectrum Access by Joint Subcarrier and Power Allocation With Optimization-Based Deep Learning.
IEEE Trans. Green Commun. Netw.
Siya Chen, Chee-Wei Tan, Xiangping Bryce Zhai, H. Vincent Poor
2025 J jnl
Physical Adversarial Example in Car Plate Recognition Systems Based on SA Algorithm.
IEEE Consumer Electron. Mag.
Jiang-Yi Zeng, Fan-Hsun Tseng, Chee-Wei Tan
2025 J jnl
Toward Efficient and Certified Recovery From Poisoning Attacks in Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Yu Jiang, Jiyuan Shen, Ziyao Liu, Chee-Wei Tan, Kwok-Yan Lam
2025 J jnl
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking.
CoRR
Ching Nam Hang, Pei-Duo Yu, Chee-Wei Tan
2025 J jnl
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking.
IEEE Trans. Artif. Intell.
Ching Nam Hang, Pei-Duo Yu, Chee-Wei Tan
2025 J jnl
Unraveling the Viral Spread of Misinformation: Maximum-Likelihood Estimation and Starlike Tree Approximation in Markovian Spreading Models.
IEEE Trans. Signal Process.
Pei-Duo Yu, Chee-Wei Tan
2025 B conf
When Ideas Go Viral: Measuring Scholarly Novelty and Viral Influence via Citation Network Analysis.
GLOBECOM
Ching Nam Hang, Pei-Duo Yu, Chee-Wei Tan, Dah Ming Chiu
2024 A* conf
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations.
EMNLP
Md. Tahmid Rahman Laskar, Sawsan Alqahtani, M. Saiful Bari, Mizanur Rahman, Mohammad Abdullah Matin Khan, Haidar Khan, Israt Jahan, Amran Bhuiyan, Chee-Wei Tan, Md. Rizwan Parvez, Enamul Hoque, Shafiq Joty, Jimmy Huang
2024 — conf
Aligning Crowd-sourced Human Feedback for Code Generation with Bayesian Inference.
CAI
Man-Fai Wong, Chee-Wei Tan
2024 B conf
Automatic Feedback Generation on K-12 Students' Data Science Education by Prompting Cloud-based Large Language Models.
L@S
Sze Ching Evelyn Fung, Man-Fai Wong, Chee-Wei Tan
2024 J jnl
Coded Federated Learning for Communication-Efficient Edge Computing: A Survey.
IEEE Open J. Commun. Soc.
Yiqian Zhang, Tianli Gao, Congduan Li, Chee-Wei Tan
2024 J jnl
Contextual Augmented Multi-Model Programming (CAMP): A Hybrid Local-Cloud Copilot Framework.
CoRR
Yuchen Wang, Shangxin Guo, Chee-Wei Tan
2024 B conf
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation.
IEEE Big Data
Yu Jiang, Xindi Tong, Ziyao Liu, Huanyi Ye, Chee-Wei Tan, Kwok-Yan Lam
2024 J jnl
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation.
CoRR
Yu Jiang, Xindi Tong, Ziyao Liu, Huanyi Ye, Chee-Wei Tan, Kwok-Yan Lam
2024 J jnl
Empowering student self-regulated learning and science education through ChatGPT: A pioneering pilot study.
Br. J. Educ. Technol.
Davy Tsz Kit Ng, Chee-Wei Tan, Jac Ka Lok Leung
2024 J jnl
FedTKD: A Trustworthy Heterogeneous Federated Learning Based on Adaptive Knowledge Distillation.
Entropy
Leiming Chen, Weishan Zhang, Cihao Dong, Dehai Zhao, Xingjie Zeng, Sibo Qiao, Yichang Zhu, Chee-Wei Tan
2024 B conf
FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Method.
ITW
Yu Jiang, Chee-Wei Tan, Kwok-Yan Lam
2024 J jnl
FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Method.
CoRR
Yu Jiang, Chee-Wei Tan, Kwok-Yan Lam
2024 B conf
Federated Learning Meets Network Coding: Efficient Coded Hierarchical Federated Learning.
ITW
Tianli Gao, Jiahong Lin, Congduan Li, Chee-Wei Tan, Jun Gao
2024 B conf
Infodemic Source Detection: Enhanced Formulations with Information Flow.
ISIT
Chao Zhao, Zimeng Wang, Qiaoqiao Zhou, Chee-Wei Tan, Chung Chan
2024 J jnl
Large Language Models Meet Next-Generation Networking Technologies: A Review.
Future Internet
Ching Nam Hang, Pei-Duo Yu, Roberto Morabito, Chee-Wei Tan
2024 J jnl
MCQGen: A Large Language Model-Driven MCQ Generator for Personalized Learning.
IEEE Access
Ching Nam Hang, Chee-Wei Tan, Pei-Duo Yu
2024 B conf
Nemobot: Crafting Strategic Gaming LLM Agents for K-12 AI Education.
L@S
Yuchen Wang, Shangxin Guo, Lin Ling, Chee-Wei Tan
2024 — conf
Neural Sum Rate Maximization for AI-Native Wireless Networks: Alternating Direction Method of Multipliers Framework and Algorithm Unrolling.
NetAISys@MobiSys
Siya Chen, Chee-Wei Tan
2024 C conf
Similarity-Based Label Propagation for Electric Vehicle Network Representation Learning.
TENCON
Runlin Hou, Chee-Wei Tan
2024 J jnl
Throughput-Scalable Shard Reorganization Tailored to Node Relations in Sharding Blockchain Networks.
IEEE Trans. Comput. Soc. Syst.
Liping Tao, Yang Lu, Yuqi Fan, Lei Shi, Chee-Wei Tan, Zhen Wei
2024 J jnl
Unraveling the Viral Spread of Misinformation: Maximum-Likelihood Estimation and Starlike Tree Approximation in Markovian Spreading Models.
CoRR
Pei-Duo Yu, Chee-Wei Tan
2024 J jnl
VFL-Cafe: Communication-Efficient Vertical Federated Learning via Dynamic Caching and Feature Selection.
Entropy
Jiahui Zhou, Han Liang, Tian Wu, Xiaoxi Zhang, Yu Jiang, Chee-Wei Tan
2023 J jnl
Contagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms.
CoRR
Chee-Wei Tan, Pei-Duo Yu
2023 J jnl
Contagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms.
Found. Trends Netw.
Chee-Wei Tan, Pei-Duo Yu
2023 J jnl
EuclidNet: Deep Visual Reasoning for Constructible Problems in Geometry.
CoRR
Man-Fai Wong, Xintong Qi, Chee-Wei Tan
2023 J jnl
Fault-Tolerant Computation Meets Network Coding: Optimal Scheduling in Parallel Computing.
IEEE Trans. Commun.
Congduan Li, Yiqian Zhang, Chee-Wei Tan
2023 B conf
Improved Predictive Beam Tracking in ISAC Based on Transceiver Division Structure.
WiOpt
Caiyu Zhang, Dan Song, Chee-Wei Tan, Congduan Li
2023 J jnl
MEGA: Machine Learning-Enhanced Graph Analytics for Infodemic Risk Management.
IEEE J. Biomed. Health Informatics
Ching Nam Hang, Pei-Duo Yu, Siya Chen, Chee-Wei Tan, Guanrong Chen
2023 J jnl
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review.
CoRR
Man-Fai Wong, Shangxin Guo, Ching Nam Hang, Siu-Wai Ho, Chee-Wei Tan
2023 J jnl
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review.
Entropy
Man-Fai Wong, Shangxin Guo, Ching Nam Hang, Siu-Wai Ho, Chee-Wei Tan
2023 B conf
Neural Sum Rate Maximization with Deep Unrolling.
GLOBECOM
Siya Chen, Chee-Wei Tan
2023 J jnl
Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review.
Big Data Cogn. Comput.
Ching Nam Hang, Yi-Zhen Tsai, Pei-Duo Yu, Jiasi Chen, Chee-Wei Tan
2022 B conf
A Chatbot-Server Framework for Scalable Machine Learning Education through Crowdsourced Data.
L@S
Jingting Li, Chee-Wei Tan, Ching Nam Hang, Xintong Qi
2022 J jnl
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic.
IEEE Trans. Big Data
Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov, Chee-Wei Tan, Weng Kee Wong
2022 J jnl
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks with Graph Neural Networks.
CoRR
Chee-Wei Tan, Pei-Duo Yu, Siya Chen, H. Vincent Poor
2022 J jnl
Epidemic Source Detection in Contact Tracing Networks: Epidemic Centrality in Graphs and Message-Passing Algorithms.
CoRR
Pei-Duo Yu, Chee-Wei Tan, Hung-Lin Fu
2022 Misc conf
Fast Breadth-First Search Approximation for Epidemic Source Inference.
CISS
Congduan Li, Siya Chen, Chee-Wei Tan
2022 Misc conf
Identifying the Superspreader in Proactive Backward Contact Tracing by Deep Learning.
CISS
Siya Chen, Pei-Duo Yu, Chee-Wei Tan, H. Vincent Poor
2022 J jnl
The Value of Cooperation: From AIMD to Flipped Classroom Teaching.
SIGMETRICS Perform. Evaluation Rev.
Chee-Wei Tan
2021 J jnl
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic.
CoRR
Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov, Chee-Wei Tan, Weng Kee Wong
2021 B conf
Blending Peer Instruction with Just-In-Time Teaching: Jointly Optimal Task Scheduling with Feedback for Classroom Flipping.
L@S
Jingting Li, Lin Ling, Chee-Wei Tan
2021 B conf
Fault-Tolerant Computation Meets Network Coding: Optimal Scheduling in Parallel Computing.
GLOBECOM
Congduan Li, Chee-Wei Tan, Jingting Li, Siya Chen
2021 B conf
Jointly Optimal Fair Data Collection and Trajectory Design Algorithms in UAV-Aided Cellular Networks.
WCNC
Dan Song, Xiangping Bryce Zhai, Xin Liu, Chee-Wei Tan
2020 Misc conf
Automated Reasoning by Convex Optimization: Proof Simplicity, Duality and Sparsity.
CISS
Chee-Wei Tan, Lin Ling
2020 J jnl
Economic Viability of a Virtual ISP.
IEEE/ACM Trans. Netw.
Shengxin Liu, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee-Wei Tan, Liang Zheng
2019 — ch.
Rumor Source Detection in Finite Graphs with Boundary Effects by Message-Passing Algorithms.
Influence and Behavior Analysis in Social Networks and Social Media
Pei-Duo Yu, Chee-Wei Tan, Hung-Lin Fu
2019 B conf
Scalable Automated Proving of Information Theoretic Inequalities with Proximal Algorithms.
ISIT
Lin Ling, Chee-Wei Tan, Siu-Wai Ho, Raymond W. Yeung
2018 J jnl
Averting Cascading Failures in Networked Infrastructures: Poset-Constrained Graph Algorithms.
IEEE J. Sel. Top. Signal Process.
Pei-Duo Yu, Chee-Wei Tan, Hung-Lin Fu
2018 J jnl
Fundamental Limits on a Class of Secure Asymmetric Multilevel Diversity Coding Systems.
IEEE J. Sel. Areas Commun.
Congduan Li, Xuan Guang, Chee-Wei Tan, Raymond W. Yeung
2018 Misc conf
Graph algorithms for preventing cascading failures in networks.
CISS
Pei-Duo Yu, Chee-Wei Tan, Hung-Lin Fu
2018 J jnl
Hierarchical Performance Analysis on Random Linear Network Coding.
IEEE Trans. Commun.
Dan Li, Xuan Guang, Zhiheng Zhou, Congduan Li, Chee-Wei Tan
2018 — conf
Human-Assisted Computation for Auto-Grading.
ICDM Workshops
Lin Ling, Chee-Wei Tan
2018 J jnl
Max-Min Fairness Rate Control in Wireless Networks: Optimality and Algorithms by Perron-Frobenius Theory.
IEEE Trans. Mob. Comput.
Liang Zheng, Desmond W. H. Cai, Chee-Wei Tan
2018 — conf
Parallel Counting of Triangles in Large Graphs: Pruning and Hierarchical Clustering Algorithms.
HPEC
Chun-Yen Kuo, Ching Nam Hang, Pei-Duo Yu, Chee-Wei Tan
2017 B conf
An economic analysis of wireless network infrastructure sharing.
WiOpt
Liang Zheng, Jiasi Chen, Carlee Joe-Wong, Chee-Wei Tan, Mung Chiang
2017 B conf
On independent distributed source coding problems with exact repair.
ITW
Congduan Li, Fangwei Ye, Xuan Guang, Zhiheng Zhou, Chee-Wei Tan, Raymond W. Yeung
2017 B conf
Rate-Constrained Energy Minimization in Networks with Multiple Mobile Network Operator Access.
GLOBECOM
Xiangping Zhai, Chee-Wei Tan
2017 B conf
Rumor source detection in unicyclic graphs.
ITW
Pei-Duo Yu, Chee-Wei Tan, Hung-Lin Fu
2017 J jnl
Transmit Beamforming and Power Control for Optimizing the Outage Probability Fairness in MISO Networks.
IEEE Trans. Commun.
Xiangping Zhai, Chee-Wei Tan, Yichao Huang, Bhaskar D. Rao
2016 J jnl
Characterization and Optimization of Delay Guarantees for Real-Time Multimedia Traffic Flows in IEEE 802.11 WLANs.
IEEE Trans. Mob. Comput.
Yan Gao, Chee-Wei Tan, Ying Huang, Zheng Zeng, P. R. Kumar
2016 A* conf
On the Viability of a Cloud Virtual Service Provider.
SIGMETRICS
Liang Zheng, Carlee Joe-Wong, Christopher G. Brinton, Chee-Wei Tan, Sangtae Ha, Mung Chiang
2016 J jnl
Quantifying Political Leaning from Tweets, Retweets, and Retweeters.
IEEE Trans. Knowl. Data Eng.
Felix Ming Fai Wong, Chee-Wei Tan, Soumya Sen, Mung Chiang
2015 A* conf
How to Bid the Cloud.
SIGCOMM
Liang Zheng, Carlee Joe-Wong, Chee-Wei Tan, Mung Chiang, Xinyu Wang
2015 — conf
On inferring rumor source for SIS model under multiple observations.
DSP
Zhaoxu Wang, Wenyi Zhang, Chee-Wei Tan
2015 J jnl
Rooting our Rumor Sources in Online Social Networks: The Value of Diversity From Multiple Observations.
IEEE J. Sel. Top. Signal Process.
Zhaoxu Wang, Wenxiang Dong, Wenyi Zhang, Chee-Wei Tan
2015 J jnl
VANDER: Efficient Cooperative Watchdog Monitoring for Lossy Wireless Network Coding.
IEEE Trans. Veh. Technol.
Xin Lou, Hongyi Yao, Chee-Wei Tan, Jianping Wang
2014 J jnl
Egalitarian fairness framework for joint rate and power optimization in wireless networks.
SIGMETRICS Perform. Evaluation Rev.
Liang Zheng, Chee-Wei Tan
2014 Misc conf
Finding the capacity of next-generation networks by linear programming.
ICCS
Chee-Wei Tan, Siu-Wai Ho, Shan Lint, Raymond W. Yeung
2014 J jnl
IEEE ACCESS Special Section Editorial: Recent Advances in Cloud Radio Access Networks.
IEEE Access
Mugen Peng, Chih-Lin I, Chee-Wei Tan, Chuan Huang
2014 — conf
Smart spectrum access algorithms in mobile TV white space networks for utility maximization.
S3@MobiCom
Liang Zheng, Chee-Wei Tan
2011 A* conf
Pricing-based spectrum access control in cognitive radio networks with random access.
INFOCOM
Lei Yang, Hongseok Kim, Junshan Zhang, Mung Chiang, Chee-Wei Tan
2009 J jnl
Energy-robustness tradeoff in cellular network power control.
IEEE/ACM Trans. Netw.
Chee-Wei Tan, Daniel Pérez Palomar, Mung Chiang
2009 A* conf
Fast Algorithms and Performance Bounds for Sum Rate Maximization in Wireless Networks.
INFOCOM
Chee-Wei Tan, Mung Chiang, R. Srikant
2007 J jnl
A Distributed Throttling Approach for Handling High Bandwidth Aggregates.
IEEE Trans. Parallel Distributed Syst.
Chee-Wei Tan, Dah-Ming Chiu, John C. S. Lui, David K. Y. Yau
2007 A* conf
Exploiting Hidden Convexity For Flexible And Robust Resource Allocation In Cellular Networks.
INFOCOM
Chee-Wei Tan, Daniel Pérez Palomar, Mung Chiang
2007 J jnl
Power Control By Geometric Programming.
IEEE Trans. Wirel. Commun.
Mung Chiang, Chee-Wei Tan, Daniel Pérez Palomar, Daniel O'Neill, David Julian
2007 J jnl
Power Control in Wireless Cellular Networks.
Found. Trends Netw.
Mung Chiang, Prashanth Hande, Tian Lan, Chee-Wei Tan
2007 A* conf
Statistical Multiplexing Over DSL Networks.
INFOCOM
Jianwei Huang, Chee-Wei Tan, Mung Chiang, Raphael Cendrillon
2006 J jnl
Achieving Multi-Class Service Differentiation in WDM Optical Burst Switching Networks: A Probabilistic Preemptive Burst Segmentation Scheme.
IEEE J. Sel. Areas Commun.
Chee-Wei Tan, Gurusamy Mohan, John C. S. Lui
2005 — conf
Handling High-Bandwidth Traffic Aggregates by Receiver-Driven Feedback Control.
COMPSAC (2)
Chee-Wei Tan, Dah-Ming Chiu, John C. S. Lui, David K. Y. Yau
2004 B conf
Achieving proportional loss differentiation using probabilistic preemptive burst segmentation in optical burst switching WDM networks.
GLOBECOM
Chee-Wei Tan, Mohan Gurusamy, John Chi-Shing Lui