Partial Fine-Tuning: A Successor to Full Fine-Tuning for Vision Transformers. - Peng Ye 006; Yongqi Huang; Chongjun Tu; Minglei Li; Tao Chen 003; Tong He 001; Wanli Ouyang (CoRR, 2023)

Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers. - Pengtao Chen; Mingzhu Shen; Peng Ye 006; Jianjian Cao; Chongjun Tu; Christos-Savvas Bouganis; Yiren Zhao; Tao Chen 003 (CoRR, 2024)

ClipSAM: CLIP and SAM collaboration for zero-shot anomaly segmentation. - Shengze Li; Jianjian Cao; Peng Ye 006; Yuhan Ding; Chongjun Tu; Tao Chen 003 (Neurocomputing, 2025)

Efficient Architecture Search via Bi-Level Data Pruning. - Chongjun Tu; Peng Ye 006; Weihao Lin 002; Hancheng Ye; Chong Yu; Tao Chen 003; Baopu Li; Wanli Ouyang (IEEE Trans. Circuits Syst. Video Technol., 2025)

Attention Reallocation: Towards Zero-cost and Controllable Hallucination Mitigation of MLLMs. - Chongjun Tu; Peng Ye 006; Dongzhan Zhou; Lei Bai 001; Gang Yu 002; Tao Chen 003; Wanli Ouyang (CoRR, 2025)

TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models. - Xudong Tan; Peng Ye 006; Chongjun Tu; Jianjian Cao; Yaoxin Yang; Lin Zhang; Dongzhan Zhou; Tao Chen 003 (CoRR, 2025)

FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding. - Chongjun Tu; Lin Zhang; Pengtao Chen; Peng Ye 006; Xianfang Zeng; Wei Cheng; Gang Yu 002; Tao Chen 003 (CoRR, 2025)

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding. - Kangcong Li; Peng Ye 006; Chongjun Tu; Lin Zhang; Chunfeng Song; Jiamin Wu; Tao Yang; Qihao Zheng; Tao Chen 003 (CoRR, 2025)