Improving error performance of Joint Channel and Network Coding in Multiple Access Relay Channel. - Ernest Kurniawan; Sumei Sun; Kai Yen; Kai Fong Ernest Chong (ISITA, 2010)

Network Coded Transmission of Fountain Codes over Cooperative Relay Networks. - Ernest Kurniawan; Sumei Sun; Kai Yen; Kai Fong Ernest Chong (WCNC, 2010)

Fountain Codes with Varying Probability Distributions - Kai Fong Ernest Chong; Ernest Kurniawan; Sumei Sun; Kai Yen (CoRR, 2010)

Application of FASTAR Code in Multimedia Broadcast Multicast Service. - Ernest Kurniawan; Kai Fong Ernest Chong; Sumei Sun; Kai Yen (VTC Spring, 2011)

Outage analysis of Joint Channel-Network Coding and its dependence on the interleaver pattern. - Ernest Kurniawan; Kai Fong Ernest Chong; Sumei Sun; Kai Yen (WCNC, 2011)

Application of Network Coding in Rateless Transmission over Wireless Relay Networks. - Ernest Kurniawan; Sumei Sun; Kai Yen; Kai Fong Ernest Chong (IEEE Trans. Commun., 2011)

A closer look at the approximation capabilities of neural networks. - Kai Fong Ernest Chong (ICLR, 2020)

Training Classifiers that are Universally Robust to All Label Noise Levels. - Jingyi Xu; Tony Q. S. Quek; Kai Fong Ernest Chong (IJCNN, 2021)

Dynamic Attention-based Communication-Efficient Federated Learning. - Zihan Chen 001; Kai Fong Ernest Chong; Tony Q. S. Quek (CoRR, 2021)

Flag complexes and homology. - Kai Fong Ernest Chong; Eran Nevo (J. Comb. Theory A, 2021)

FedCorr: Multi-Stage Federated Learning for Label Noise Correction. - Jingyi Xu; Zihan Chen 001; Tony Q. S. Quek; Kai Fong Ernest Chong (CVPR, 2022)

Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices. - Jingyi Xu; Tushar Vaidya; Yufei Wu 003; Saket Chandra; Zhangsheng Lai; Kai Fong Ernest Chong (CVPR, 2023)

Spectral Co-Distillation for Personalized Federated Learning. - Zihan Chen 001; Howard H. Yang; Tony Q. S. Quek; Kai Fong Ernest Chong (NeurIPS, 2023)

GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence. - Xia Huang; Kai Fong Ernest Chong (Int. J. Comput. Vis., 2023)

Personalizing Semantic Communication: A Foundation Model Approach. - Zihan Chen 001; Howard H. Yang; Kai Fong Ernest Chong; Tony Q. S. Quek (SPAWC, 2024)

Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping. - Jiaxing Li; Zihan Chen 001; Kai Fong Ernest Chong; Bikramjit Das; Tony Q. S. Quek; Howard H. Yang (CoRR, 2024)

The Role of Federated Learning in a Wireless World with Foundation Models. - Zihan Chen 001; Howard H. Yang; Y. C. Tay; Kai Fong Ernest Chong; Tony Q. S. Quek (IEEE Wirel. Commun., 2024)