Liu, Yudong

10 publications

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

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

AAAI 2025 Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors Siyuan Chen, Zhuofeng Wang, Zelong Guan, Yudong Liu, Phillip B. Gibbons

ICML 2024 FedBPT: Efficient Federated Black-Box Prompt Tuning for Large Language Models Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R Roth

AAAI 2024 GridFormer: Point-Grid Transformer for Surface Reconstruction Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu

ECCV 2024 Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds Shengtao Li, Ge Gao, Yudong Liu, Ming Gu, Yu-Shen Liu

ICLR 2024 Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications Paul Pu Liang, Chun Kai Ling, Yun Cheng, Alexander Obolenskiy, Yudong Liu, Rohan Pandey, Alex Wilf, Louis-Philippe Morency, Russ Salakhutdinov

TMLR 2023 High-Modality Multimodal Transformer: Quantifying Modality & Interaction Heterogeneity for High-Modality Representation Learning Paul Pu Liang, Yiwei Lyu, Xiang Fan, Jeffrey Tsaw, Yudong Liu, Shentong Mo, Dani Yogatama, Louis-Philippe Morency, Russ Salakhutdinov

AAAI 2020 CBNet: A Novel Composite Backbone Network Architecture for Object Detection Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, Haibin Ling

IJCAI 2020 Rumor Detection on Social Media with Graph Structured Adversarial Learning Xiaoyu Yang, Yuefei Lyu, Tian Tian, Yifei Liu, Yudong Liu, Xi Zhang