Chongjun Tu

According to our database, Chongjun Tu authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding.

Kangcong Li, Peng Ye, Chongjun Tu, Lin Zhang, Chunfeng Song, Jiamin Wu, Tao Yang, Qihao Zheng, Tao Chen

CoRR, June, 2025

FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding.

Chongjun Tu, Lin Zhang, Pengtao Chen, Peng Ye, Xianfang Zeng, Wei Cheng, Gang Yu, Tao Chen

CoRR, March, 2025

TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models.

Xudong Tan, Peng Ye, Chongjun Tu, Jianjian Cao, Yaoxin Yang, Lin Zhang, Dongzhan Zhou, Tao Chen

CoRR, March, 2025

Attention Reallocation: Towards Zero-cost and Controllable Hallucination Mitigation of MLLMs.

Chongjun Tu, Peng Ye, Dongzhan Zhou, Lei Bai, Gang Yu, Tao Chen, Wanli Ouyang

CoRR, March, 2025

Efficient Architecture Search via Bi-Level Data Pruning.

Chongjun Tu, Peng Ye, Weihao Lin, Hancheng Ye, Chong Yu, Tao Chen, Baopu Li, Wanli Ouyang

IEEE Trans. Circuits Syst. Video Technol., February, 2025

ClipSAM: CLIP and SAM collaboration for zero-shot anomaly segmentation.

Shengze Li, Jianjian Cao, Peng Ye, Yuhan Ding, Chongjun Tu, Tao Chen

Neurocomputing, 2025

2024

Δ-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers.

Pengtao Chen, Mingzhu Shen, Peng Ye, Jianjian Cao, Chongjun Tu, Christos-Savvas Bouganis, Yiren Zhao, Tao Chen

CoRR, 2024

2023

Partial Fine-Tuning: A Successor to Full Fine-Tuning for Vision Transformers.

Peng Ye, Yongqi Huang, Chongjun Tu, Minglei Li, Tao Chen, Tong He, Wanli Ouyang

CoRR, 2023