Kai Fong Ernest Chong

5 papers · 2020–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

Venues

CVPR (2) ACL (1) ICLR (1) NeurIPS (1)

Top co-authors

Zihan Chen (3) Jingyi Xu (2) Tony Quek (2) Yufei Wu (1) Howard Hua Yang (1) Saket Chandra (1) Tushar Vaidya (1) Zhangsheng Lai (1) Howard Hao Yang (1) Tony Q.S. Quek (1)

Research topics

Artificial Intelligence (4) Machine Learning (3) Learning Paradigms (3) Deep Learning (2) Core AI (2) Computer Vision (1) Analysis (1) Application Areas (1) Architectures (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

federated learning (2) function approximation (1) knowledge distillation (1) visual reasoning (1) automated reasoning (1) label noise (1) hidden layer (1) data heterogeneity (1) zeroth-order optimization (1) approximation theory (1) personalized federated learning (1) abstract reasoning (1) multi-stage training (1) large language model (1) neural network (1) grobner basis (1) groebner basis (1) algebraic reasoning (1) polynomial ring (1) gradient reconstruction (1)

Papers

Global Adaptive Momentum Meets Local Personalized Perturbation: Efficient Federated LLM Fine-Tuning with Zeroth-Order Gradients ACL 2026 Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices CVPR 2023 Spectral Co-Distillation for Personalized Federated Learning NeurIPS 2023 FedCorr: Multi-Stage Federated Learning for Label Noise Correction CVPR 2022 A closer look at the approximation capabilities of neural networks ICLR 2020