Zheng, Xiawu

58 publications

ICLR 2026 FastVGGT: Fast Visual Geometry Transformer You Shen, Zhipeng Zhang, Yansong Qu, Xiawu Zheng, Jiayi Ji, Shengchuan Zhang, Liujuan Cao

ICLR 2026 Flow Caching for Autoregressive Video Generation Yuexiao Ma, Xuzhe Zheng, Jing Xu, Xiwei Xu, Feng Ling, Xiawu Zheng, Huafeng Kuang, Huixia Li, Xing Wang, Xuefeng Xiao, Fei Chao, Rongrong Ji

ICLR 2026 Mix-Ecom: Towards Mixed-Type E-Commerce Dialogues with Complex Domain Rules Chenyu Zhou, Xiaoming Shi, Hui Qiu, Yankai Jiang, ShaoGuo Liu, Tingting Gao, Haitao Leng, Xiawu Zheng, Rongrong Ji

AAAI 2025 Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Xiawu Zheng, Chang Liu, Jie Chen

ICCV 2025 AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery Xinzi Cao, Ke Chen, Feidiao Yang, Xiawu Zheng, Yonghong Tian, Yutong Lu

ICML 2025 BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training Chenyi Yang, Wenjie Nie, Yuxin Zhang, Yuhang Wu, Xiawu Zheng, Guannan Jiang, Rongrong Ji

ICML 2025 Benchmarking Abstract and Reasoning Abilities Through a Theoretical Perspective Qingchuan Ma, Yuhang Wu, Xiawu Zheng, Rongrong Ji

ICML 2025 Determining Layer-Wise Sparsity for Large Language Models Through a Theoretical Perspective Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji

NeurIPS 2025 Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji, Liujuan Cao

CVPR 2025 Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment Xudong Li, Wenjie Nie, Yan Zhang, Runze Hu, Ke Li, Xiawu Zheng, Liujuan Cao

AAAI 2025 Dynamic Clustering Convolutional Neural Network Tanzhe Li, Baochang Zhang, Jiayi Lyu, Xiawu Zheng, Guodong Guo, Taisong Jin

ICLR 2025 Dynamic Low-Rank Sparse Adaptation for Large Language Models Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Liuyang, Jing Lin, Yiwu Yao, Rongrong Ji

ICLR 2025 Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji

AAAI 2025 Feature Denoising Diffusion Model for Blind Image Quality Assessment Xudong Li, Yan Zhang, Yunhang Shen, Ke Li, Runze Hu, Xiawu Zheng, Sicheng Zhao

ICCV 2025 Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models Xudong Li, Zihao Huang, Yan Zhang, Yunhang Shen, Ke Li, Xiawu Zheng, Liujuan Cao, Rongrong Ji

ICCV 2025 From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-Guided Symbolic Reasoning Yuhui Zeng, Haoxiang Wu, Wenjie Nie, Guangyao Chen, Xiawu Zheng, Yunhang Shen, Jun Peng, Yonghong Tian, Rongrong Ji

ICLR 2025 Learning Interleaved Image-Text Comprehension in Vision-Language Large Models Chenyu Zhou, Mengdan Zhang, Peixian Chen, Chaoyou Fu, Yunhang Shen, Xiawu Zheng, Xing Sun, Rongrong Ji

NeurIPS 2025 MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Yunsheng Wu, Rongrong Ji, Caifeng Shan, Ran He

ICLR 2025 Multimodal Quantitative Language for Generative Recommendation Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian

ICML 2025 Polybasic Speculative Decoding Through a Theoretical Perspective Ruilin Wang, Huixia Li, Yuexiao Ma, Xiawu Zheng, Fei Chao, Xuefeng Xiao, Rongrong Ji

NeurIPS 2025 VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction Chaoyou Fu, Haojia Lin, Xiong Wang, YiFan Zhang, Yunhang Shen, Xiaoyu Liu, Haoyu Cao, Zuwei Long, Heting Gao, Ke Li, Long Ma, Xiawu Zheng, Rongrong Ji, Xing Sun, Caifeng Shan, Ran He

CVPR 2025 Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-Modal LLMs in Video Analysis Chaoyou Fu, Yuhan Dai, Yongdong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Caifeng Shan, Ran He, Xing Sun

NeurIPS 2025 Video-RAG: Visually-Aligned Retrieval-Augmented Long Video Comprehension Yongdong Luo, Xiawu Zheng, Guilin Li, Shukang Yin, Haojia Lin, Chaoyou Fu, Jinfa Huang, Jiayi Ji, Fei Chao, Jiebo Luo, Rongrong Ji

NeurIPS 2025 Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs Xudong Li, Mengdan Zhang, Peixian Chen, Xiawu Zheng, Yan Zhang, Jingyuan Zheng, Yunhang Shen, Ke Li, Chaoyou Fu, Xing Sun, Rongrong Ji

ICML 2024 Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity Xudong Li, Timin Gao, Runze Hu, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Rongrong Ji

ICLR 2024 AffineQuant: Affine Transformation Quantization for Large Language Models Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji

CVPR 2024 Bilateral Event Mining and Complementary for Event Stream Super-Resolution Zhilin Huang, Quanmin Liang, Yijie Yu, Chujun Qin, Xiawu Zheng, Kai Huang, Zikun Zhou, Wenming Yang

AAAI 2024 Binding-Adaptive Diffusion Models for Structure-Based Drug Design Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang

IJCAI 2024 Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian

CVPR 2024 GraCo: Granularity-Controllable Interactive Segmentation Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Xiawu Zheng, Rongrong Ji, Chang Liu, Li Yuan, Jie Chen

ICML 2024 Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment Xudong Li, Runze Hu, Jingyuan Zheng, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Ke Li, Yunhang Shen, Yutao Liu, Pingyang Dai, Rongrong Ji

ICML 2024 Interaction-Based Retrieval-Augmented Diffusion Models for Protein-Specific 3D Molecule Generation Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang

ICLR 2024 MetaGPT: Meta Programming for a Multi-Agent Collaborative Framework Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, Jürgen Schmidhuber

ECCV 2024 Multi-Branch Collaborative Learning Network for 3D Visual Grounding Zhipeng Qian, Yiwei Ma, Zhekai Lin, Jiayi Ji, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji

ICML 2024 Outlier-Aware Slicing for Post-Training Quantization in Vision Transformer Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji

ICLR 2024 Protein-Ligand Interaction Prior for Binding-Aware 3D Molecule Diffusion Models Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang

CVPR 2024 RepAn: Enhanced Annealing Through Re-Parameterization Xiang Fei, Xiawu Zheng, Yan Wang, Fei Chao, Chenglin Wu, Liujuan Cao

AAAI 2024 Semi-Supervised Blind Image Quality Assessment Through Knowledge Distillation and Incremental Learning Wensheng Pan, Timin Gao, Yan Zhang, Xiawu Zheng, Yunhang Shen, Ke Li, Runze Hu, Yutao Liu, Pingyang Dai

CVPR 2024 Solving the Catastrophic Forgetting Problem in Generalized Category Discovery Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian

ECCV 2024 Textual Grounding for Open-Vocabulary Visual Information Extraction in Layout-Diversified Documents Mengjun Cheng, Chengquan Zhang, Chang Liu, Yuke Li, Bohan Li, Kun Yao, Xiawu Zheng, Rongrong Ji, Jie Chen

ICLR 2023 A Unified Framework for Soft Threshold Pruning Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian

ICCV 2023 AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji

ICCV 2023 Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso Under Information Bottleneck Principle Song Guo, Lei Zhang, Xiawu Zheng, Yan Wang, Yuchao Li, Fei Chao, Chenglin Wu, Shengchuan Zhang, Rongrong Ji

AAAI 2023 Data-Efficient Image Quality Assessment with Attention-Panel Decoder Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li, Yan Zhang

NeurIPS 2023 Discover and Align Taxonomic Context Priors for Open-World Semi-Supervised Learning Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, Jie Chen

CVPR 2023 Meta Architecture for Point Cloud Analysis Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji

AAAI 2023 OMPQ: Orthogonal Mixed Precision Quantization Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Guannan Jiang, Wei Zhang, Rongrong Ji

CVPR 2023 Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen

CVPR 2023 Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji

CVPR 2022 Neural Architecture Search with Representation Mutual Information Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji

CVPR 2022 Training-Free Transformer Architecture Search Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji

ICCV 2021 EC-DARTS: Inducing Equalized and Consistent Optimization into DARTS Qinqin Zhou, Xiawu Zheng, Liujuan Cao, Bineng Zhong, Teng Xi, Gang Zhang, Errui Ding, Mingliang Xu, Rongrong Ji

AAAI 2020 Binarized Neural Architecture Search Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji

ECCV 2020 PAMS: Quantized Super-Resolution via Parameterized Max Scale Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji

CVPR 2020 Rethinking Performance Estimation in Neural Architecture Search Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian

ICCV 2019 Multinomial Distribution Learning for Effective Neural Architecture Search Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian

AAAI 2019 Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang

IJCAI 2018 Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Feiyue Huang, Yanhua Yang