Zhang, Lin

30 publications

AAAI 2025 BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference Zewen Jin, Shengnan Wang, Jiaan Zhu, Hongrui Zhan, Youhui Bai, Lin Zhang, Zhenyu Ming, Cheng Li

CVPR 2025 DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models Yongqi Huang, Peng Ye, Chenyu Huang, Jianjian Cao, Lin Zhang, Baopu Li, Gang Yu, Tao Chen

NeurIPS 2025 EAP-GP: Mitigating Saturation Effect in Gradient-Based Automated Circuit Identification Lin Zhang, Wenshuo Dong, Zhuoran Zhang, Shu Yang, Lijie Hu, Ninghao Liu, Pan Zhou, Di Wang

NeurIPS 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

CVPR 2025 GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control Mariam Hassan, Sebastian Stapf, Ahmad Rahimi, Pedro M B Rezende, Yasaman Haghighi, David Brüggemann, Isinsu Katircioglu, Lin Zhang, Xiaoran Chen, Suman Saha, Marco Cannici, Elie Aljalbout, Botao Ye, Xi Wang, Aram Davtyan, Mathieu Salzmann, Davide Scaramuzza, Marc Pollefeys, Paolo Favaro, Alexandre Alahi

CVPR 2025 OSDFace: One-Step Diffusion Model for Face Restoration Jingkai Wang, Jue Gong, Lin Zhang, Zheng Chen, Xing Liu, Hong Gu, Yutong Liu, Yulun Zhang, Xiaokang Yang

NeurIPS 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

AAAI 2025 Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework Linfei Li, Lin Zhang, Zhong Wang, Fengyi Zhang, Zelin Li, Ying Shen

ICCV 2025 SC-Captioner: Improving Image Captioning with Self-Correction by Reinforcement Learning Lin Zhang, Xianfang Zeng, Kangcong Li, Gang Yu, Tao Chen

AAAI 2025 Towards Audio-Visual Navigation in Noisy Environments: A Large-Scale Benchmark Dataset and an Architecture Considering Multiple Sound-Sources Zhanbo Shi, Lin Zhang, Linfei Li, Ying Shen

NeurIPS 2024 3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection Mingsheng Li, Jiakang Yuan, Sijin Chen, Lin Zhang, Anyu Zhu, Xin Chen, Tao Chen

ECCV 2024 Audio-Synchronized Visual Animation Lin Zhang, Shentong Mo, Yijing Zhang, Pedro Morgado

WACV 2024 D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre

AAAI 2024 Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Yixin Zhu, Sihang Jiang, Zhuozhi Xiong, Zihan Li, Weijie Wu, Qianyu He, Rui Xu, Wenhao Huang, Jingping Liu, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao

ICML 2023 D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang

ICML 2023 Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu

ICLR 2023 Eva: Practical Second-Order Optimization with Kronecker-Vectorized Approximation Lin Zhang, Shaohuai Shi, Bo Li

ICML 2023 Feature Expansion for Graph Neural Networks Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng Xu, Kun Zhang, Yujiu Yang

ICCV 2023 LMR: A Large-Scale Multi-Reference Dataset for Reference-Based Super-Resolution Lin Zhang, Xin Li, Dongliang He, Fu Li, Errui Ding, Zhaoxiang Zhang

CVPR 2023 MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model Yatai Ji, Junjie Wang, Yuan Gong, Lin Zhang, Yanru Zhu, Hongfa Wang, Jiaxing Zhang, Tetsuya Sakai, Yujiu Yang

AAAI 2023 Self-Supervised Bidirectional Learning for Graph Matching Wenqi Guo, Lin Zhang, Shikui Tu, Lei Xu

ECCVW 2022 AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng

NeurIPS 2022 Exact Shape Correspondence via 2D Graph Convolution Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, Ma Kaili, Bo Han, Bo Li, James Cheng

CVPR 2022 Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan

CVPR 2022 Learning from Temporal Gradient for Semi-Supervised Action Recognition Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li

ECCV 2022 RRSR:Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection Lin Zhang, Xin Li, Dongliang He, Fu Li, Yili Wang, Zhaoxiang Zhang

CVPR 2022 Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, Dacheng Tao

ICCV 2021 Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment Lin Zhang, Yong Luo, Yan Bai, Bo Du, Ling-Yu Duan

ICCV 2021 MT-ORL: Multi-Task Occlusion Relationship Learning Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming

AAAI 2019 An Efficient Approach to Informative Feature Extraction from Multimodal Data Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang