Multi-Objective Deep Learning with Adaptive Reference Vectors. - Weiyu Chen; James Kwok (NeurIPS, 2022)

Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs. - Quanming Yao; Yongqi Zhang; Yaqing Wang 002; Nan Yin; James Kwok; Qiang Yang 001 (CoRR, 2024)

You Only Merge Once: Learning the Pareto Set of Preference-Aware Model Merging. - Weiyu Chen; James Kwok (CoRR, 2024)

CodeGraph: Enhancing Graph Reasoning of LLMs with Code. - Qiaolong Cai; Zhaowei Wang 003; Shizhe Diao; James Kwok; Yangqiu Song (CoRR, 2024)

Alignment of Diffusion Models: Fundamentals, Challenges, and Future. - Buhua Liu; Shitong Shao; Bao Li; Lichen Bai; Zhiqiang Xu; Haoyi Xiong; James Kwok; Sumi Helal; Zeke Xie (CoRR, 2024)

Nested-Refinement Metamorphosis: Reflective Evolution for Efficient Optimization of Networking Problems. - Shuhan Guo; Nan Yin; James Kwok; Quanming Yao (ACL (Findings), 2025)

Curriculum-aware Training for Discriminating Molecular Property Prediction Models. - Hansi Yang; Quanming Yao; James Kwok (ICLR, 2025)