Fan, Hongxiang

7 publications

ICLR 2026 AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size Guanxi Lu, Hao Mark Chen, Yuto Karashima, Zhican Wang, Daichi Fujiki, Hongxiang Fan

ICCV 2025 FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization Hao Mark Chen, Shell Xu Hu, Wayne Luk, Timothy Hospedales, Hongxiang Fan

ICLR 2025 Progressive Mixed-Precision Decoding for Efficient LLM Inference Hao Mark Chen, Fuwen Tan, Alexandros Kouris, Royson Lee, Hongxiang Fan, Stylianos Venieris

NeurIPS 2025 Rethinking Optimal Verification Granularity for Compute-Efficient Test-Time Scaling Hao Mark Chen, Guanxi Lu, Yasuyuki Okoshi, Zhiwen Mo, Masato Motomura, Hongxiang Fan

ICLR 2024 Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane

NeurIPS 2024 CLUES: Collaborative Private-Domain High-Quality Data Selection for LLMs via Training Dynamics Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Bofan Chen, Nicholas D. Lane

NeurIPSW 2023 Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nicholas Donald Lane