Secure Out-of-Distribution Task Generalization with Energy-Based Models. - Shengzhuang Chen; Long-Kai Huang; Jonathan Richard Schwarz; Yilun Du; Ying Wei 001 (NeurIPS, 2023)

Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts. - Shengzhuang Chen; Jihoon Tack; Yunqiao Yang; Yee Whye Teh; Jonathan Richard Schwarz; Ying Wei 001 (ICML, 2024)

Learning Where to Edit Vision Transformers. - Yunqiao Yang; Long-Kai Huang; Shengzhuang Chen; Kede Ma; Ying Wei 001 (NeurIPS, 2024)

Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts. - Shengzhuang Chen; Ying Wei 001; Jonathan Richard Schwarz (ACL (1), 2025)

CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models. - Shengzhuang Chen; Yikai Liao; Xiaoxiao Sun; Kede Ma; Ying Wei 001 (ICLR, 2025)