Chee-Wei Tan

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 47

Top Topics

Wireless Networks

Utility Maximization

Science Education

Top Venues

IEEE Trans. Commun.

Publications

Siya Chen, Chee-Wei Tan
Neural Sum Rate Maximization for AI-Native Wireless Networks: Alternating Direction Method of Multipliers Framework and Algorithm Unrolling. NetAISys@MobiSys (2024)
Yiqian Zhang, Tianli Gao, Congduan Li, Chee-Wei Tan
Coded Federated Learning for Communication-Efficient Edge Computing: A Survey. IEEE Open J. Commun. Soc. 5 (2024)
Davy Tsz Kit Ng, Chee-Wei Tan, Jac Ka Lok Leung
Empowering student self-regulated learning and science education through ChatGPT: A pioneering pilot study. Br. J. Educ. Technol. 55 (4) (2024)
Yuchen Wang, Shangxin Guo, Lin Ling, Chee-Wei Tan
Nemobot: Crafting Strategic Gaming LLM Agents for K-12 AI Education. L@S (2024)
Sze Ching Evelyn Fung, Man-Fai Wong, Chee-Wei Tan
Automatic Feedback Generation on K-12 Students' Data Science Education by Prompting Cloud-based Large Language Models. L@S (2024)
Pei-Duo Yu, Chee-Wei Tan, Liang Zheng, Chao Zhao
Unraveling Contagion Origins: Optimal Estimation through Maximum-Likelihood and Starlike Tree Approximation in Markovian Spreading Models. CoRR (2024)
Ching Nam Hang, Chee-Wei Tan, Pei-Duo Yu
MCQGen: A Large Language Model-Driven MCQ Generator for Personalized Learning. IEEE Access 12 (2024)
Leiming Chen, Weishan Zhang, Cihao Dong, Dehai Zhao, Xingjie Zeng, Sibo Qiao, Yichang Zhu, Chee-Wei Tan
FedTKD: A Trustworthy Heterogeneous Federated Learning Based on Adaptive Knowledge Distillation. Entropy 26 (1) (2024)
Ching Nam Hang, Pei-Duo Yu, Siya Chen, Chee-Wei Tan, Guanrong Chen
MEGA: Machine Learning-Enhanced Graph Analytics for Infodemic Risk Management. IEEE J. Biomed. Health Informatics 27 (12) (2023)
Man-Faï Wong, Xintong Qi, Chee-Wei Tan
EuclidNet: Deep Visual Reasoning for Constructible Problems in Geometry. CoRR (2023)
Man-Fai Wong, Shangxin Guo, Ching Nam Hang, Siu-Wai Ho, Chee-Wei Tan
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review. CoRR (2023)
Man-Fai Wong, Shangxin Guo, Ching Nam Hang, Siu-Wai Ho, Chee-Wei Tan
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review. Entropy 25 (6) (2023)
Chee-Wei Tan, Pei-Duo Yu
Contagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms. CoRR (2023)
Caiyu Zhang, Dan Song, Chee-Wei Tan, Congduan Li
Improved Predictive Beam Tracking in ISAC Based on Transceiver Division Structure. WiOpt (2023)
Siya Chen, Chee-Wei Tan
Neural Sum Rate Maximization with Deep Unrolling. GLOBECOM (2023)
Ching Nam Hang, Yi-Zhen Tsai, Pei-Duo Yu, Jiasi Chen, Chee-Wei Tan
Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review. Big Data Cogn. Comput. 7 (2) (2023)
Congduan Li, Yiqian Zhang, Chee-Wei Tan
Fault-Tolerant Computation Meets Network Coding: Optimal Scheduling in Parallel Computing. IEEE Trans. Commun. 71 (7) (2023)
Chee-Wei Tan, Pei-Duo Yu
Contagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms. Found. Trends Netw. 13 (2-3) (2023)
Chee-Wei Tan
The Value of Cooperation: From AIMD to Flipped Classroom Teaching. SIGMETRICS Perform. Evaluation Rev. 49 (4) (2022)
Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov, Chee-Wei Tan, Weng Kee Wong
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic. IEEE Trans. Big Data 8 (6) (2022)
Pei-Duo Yu, Chee-Wei Tan, Hung-Lin Fu
Epidemic Source Detection in Contact Tracing Networks: Epidemic Centrality in Graphs and Message-Passing Algorithms. CoRR (2022)
Jingting Li, Chee-Wei Tan, Ching Nam Hang, Xintong Qi
A Chatbot-Server Framework for Scalable Machine Learning Education through Crowdsourced Data. L@S (2022)
Siya Chen, Pei-Duo Yu, Chee-Wei Tan, H. Vincent Poor
Identifying the Superspreader in Proactive Backward Contact Tracing by Deep Learning. CISS (2022)
Siya Chen, Pei-Duo Yu, Chee-Wei Tan, H. Vincent Poor
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks with Graph Neural Networks. CoRR (2022)
Congduan Li, Siya Chen, Chee-Wei Tan
Fast Breadth-First Search Approximation for Epidemic Source Inference. CISS (2022)
Dan Song, Xiangping Bryce Zhai, Xin Liu, Chee-Wei Tan
Jointly Optimal Fair Data Collection and Trajectory Design Algorithms in UAV-Aided Cellular Networks. WCNC (2021)
Jingting Li, Lin Ling, Chee-Wei Tan
Blending Peer Instruction with Just-In-Time Teaching: Jointly Optimal Task Scheduling with Feedback for Classroom Flipping. L@S (2021)
Congduan Li, Chee-Wei Tan, Jingting Li, Siya Chen
Fault-Tolerant Computation Meets Network Coding: Optimal Scheduling in Parallel Computing. GLOBECOM (2021)
Zhe Fei, Yevgen Ryeznik, Oleksandr Sverdlov, Chee-Wei Tan, Weng Kee Wong
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic. CoRR (2021)
Chee-Wei Tan, Lin Ling
Automated Reasoning by Convex Optimization: Proof Simplicity, Duality and Sparsity. CISS (2020)
Shengxin Liu, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee-Wei Tan, Liang Zheng
Economic Viability of a Virtual ISP. IEEE/ACM Trans. Netw. 28 (2) (2020)
Lin Ling, Chee-Wei Tan, Siu-Wai Ho, Raymond W. Yeung
Scalable Automated Proving of Information Theoretic Inequalities with Proximal Algorithms. ISIT (2019)
Liang Zheng, Desmond W. H. Cai, Chee-Wei Tan
Max-Min Fairness Rate Control in Wireless Networks: Optimality and Algorithms by Perron-Frobenius Theory. IEEE Trans. Mob. Comput. 17 (1) (2018)
Chun-Yen Kuo, Ching Nam Hang, Pei-Duo Yu, Chee-Wei Tan
Parallel Counting of Triangles in Large Graphs: Pruning and Hierarchical Clustering Algorithms. HPEC (2018)
Pei-Duo Yu, Chee-Wei Tan, Hung-Lin Fu
Graph algorithms for preventing cascading failures in networks. CISS (2018)
Congduan Li, Xuan Guang, Chee-Wei Tan, Raymond W. Yeung
Fundamental Limits on a Class of Secure Asymmetric Multilevel Diversity Coding Systems. IEEE J. Sel. Areas Commun. 36 (4) (2018)
Pei-Duo Yu, Chee-Wei Tan, Hung-Lin Fu
Averting Cascading Failures in Networked Infrastructures: Poset-Constrained Graph Algorithms. IEEE J. Sel. Top. Signal Process. 12 (4) (2018)
Dan Li, Xuan Guang, Zhiheng Zhou, Congduan Li, Chee-Wei Tan
Hierarchical Performance Analysis on Random Linear Network Coding. IEEE Trans. Commun. 66 (5) (2018)
Lin Ling, Chee-Wei Tan
Human-Assisted Computation for Auto-Grading. ICDM Workshops (2018)
Xiangping Bryce Zhai, Chee-Wei Tan
Rate-Constrained Energy Minimization in Networks with Multiple Mobile Network Operator Access. GLOBECOM (2017)
Pei-Duo Yu, Chee-Wei Tan, Hung-Lin Fu
Rumor source detection in unicyclic graphs. ITW (2017)
Congduan Li, Fangwei Ye, Xuan Guang, Zhiheng Zhou, Chee-Wei Tan, Raymond W. Yeung
On independent distributed source coding problems with exact repair. ITW (2017)
Xiangping Bryce Zhai, Chee-Wei Tan, Yichao Huang, Bhaskar D. Rao
Transmit Beamforming and Power Control for Optimizing the Outage Probability Fairness in MISO Networks. IEEE Trans. Commun. 65 (2) (2017)
Liang Zheng, Jiasi Chen, Carlee Joe-Wong, Chee-Wei Tan, Mung Chiang
An economic analysis of wireless network infrastructure sharing. WiOpt (2017)
Felix Ming Fai Wong, Chee-Wei Tan, Soumya Sen, Mung Chiang
Quantifying Political Leaning from Tweets, Retweets, and Retweeters. IEEE Trans. Knowl. Data Eng. 28 (8) (2016)
Liang Zheng, Carlee Joe-Wong, Christopher G. Brinton, Chee-Wei Tan, Sangtae Ha, Mung Chiang
On the Viability of a Cloud Virtual Service Provider. SIGMETRICS (2016)
Yan Gao, Chee-Wei Tan, Ying Huang, Zheng Zeng, P. R. Kumar
Characterization and Optimization of Delay Guarantees for Real-Time Multimedia Traffic Flows in IEEE 802.11 WLANs. IEEE Trans. Mob. Comput. 15 (5) (2016)
Xin Lou, Hongyi Yao, Chee-Wei Tan, Jianping Wang
VANDER: Efficient Cooperative Watchdog Monitoring for Lossy Wireless Network Coding. IEEE Trans. Veh. Technol. 64 (2) (2015)
Liang Zheng, Carlee Joe-Wong, Chee-Wei Tan, Mung Chiang, Xinyu Wang
How to Bid the Cloud. SIGCOMM (2015)
Zhaoxu Wang, Wenyi Zhang, Chee-Wei Tan
On inferring rumor source for SIS model under multiple observations. DSP (2015)
Zhaoxu Wang, Wenxiang Dong, Wenyi Zhang, Chee-Wei Tan
Rooting our Rumor Sources in Online Social Networks: The Value of Diversity From Multiple Observations. IEEE J. Sel. Top. Signal Process. 9 (4) (2015)
Mugen Peng, Chih-Lin I, Chee-Wei Tan, Chuan Huang
IEEE ACCESS Special Section Editorial: Recent Advances in Cloud Radio Access Networks. IEEE Access 2 (2014)
Chee-Wei Tan, Siu-Wai Ho, Shan Lint, Raymond W. Yeung
Finding the capacity of next-generation networks by linear programming. ICCS (2014)
Liang Zheng, Chee-Wei Tan
Smart spectrum access algorithms in mobile TV white space networks for utility maximization. S3@MobiCom (2014)
Liang Zheng, Chee-Wei Tan
Egalitarian fairness framework for joint rate and power optimization in wireless networks. SIGMETRICS Perform. Evaluation Rev. 42 (2) (2014)
Lei Yang, Hongseok Kim, Junshan Zhang, Mung Chiang, Chee-Wei Tan
Pricing-based spectrum access control in cognitive radio networks with random access. INFOCOM (2011)
Chee-Wei Tan, Mung Chiang, R. Srikant
Fast Algorithms and Performance Bounds for Sum Rate Maximization in Wireless Networks. INFOCOM (2009)
Chee-Wei Tan, Daniel Pérez Palomar, Mung Chiang
Energy-robustness tradeoff in cellular network power control. IEEE/ACM Trans. Netw. 17 (3) (2009)
Mung Chiang, Chee-Wei Tan, Daniel Pérez Palomar, Daniel O'Neill, David Julian
Power Control By Geometric Programming. IEEE Trans. Wirel. Commun. 6 (7) (2007)
Jianwei Huang, Chee-Wei Tan, Mung Chiang, Raphael Cendrillon
Statistical Multiplexing Over DSL Networks. INFOCOM (2007)
Mung Chiang, Prashanth Hande, Tian Lan, Chee-Wei Tan
Power Control in Wireless Cellular Networks. Found. Trends Netw. 2 (4) (2007)
Chee-Wei Tan, Daniel Pérez Palomar, Mung Chiang
Exploiting Hidden Convexity For Flexible And Robust Resource Allocation In Cellular Networks. INFOCOM (2007)
Chee-Wei Tan, Dah-Ming Chiu, John C. S. Lui, David K. Y. Yau
A Distributed Throttling Approach for Handling High Bandwidth Aggregates. IEEE Trans. Parallel Distributed Syst. 18 (7) (2007)
Chee-Wei Tan, Gurusamy Mohan, John C. S. Lui
Achieving Multi-Class Service Differentiation in WDM Optical Burst Switching Networks: A Probabilistic Preemptive Burst Segmentation Scheme. IEEE J. Sel. Areas Commun. 24 (S-12) (2006)
Chee-Wei Tan, Dah-Ming Chiu, John C. S. Lui, David K. Y. Yau
Handling High-Bandwidth Traffic Aggregates by Receiver-Driven Feedback Control. COMPSAC (2) (2005)
Chee-Wei Tan, Mohan Gurusamy, John Chi-Shing Lui
Achieving proportional loss differentiation using probabilistic preemptive burst segmentation in optical burst switching WDM networks. GLOBECOM (2004)