Lin, Yueqian

7 publications

NeurIPS 2025 Angles Don’t Lie: Unlocking Training‑Efficient RL Through the Model’s Own Signals Qinsi Wang, Jinghan Ke, Hancheng Ye, Yueqian Lin, Yuzhe Fu, Jianyi Zhang, Kurt Keutzer, Chenfeng Xu, Yiran Chen

ICML 2025 CoreMatching: A Co-Adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen

TMLR 2025 Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Helen Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa

NeurIPS 2025 KVCOMM: Online Cross-Context KV-Cache Communication for Efficient LLM-Based Multi-Agent Systems Hancheng Ye, Zhengqi Gao, Mingyuan Ma, Qinsi Wang, Yuzhe Fu, Ming-Yu Chung, Yueqian Lin, Zhijian Liu, Jianyi Zhang, Danyang Zhuo, Yiran Chen

ICCV 2025 Keyframe-Oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing Yudong Liu, Jingwei Sun, Yueqian Lin, Jianyi Zhang, Jingyang Zhang, Ming Yin, Qinsi Wang, Hai Li, Yiran Chen

DMLR 2024 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

NeurIPSW 2023 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li