Xiawu Zheng

158 papers A* 54B 2Misc 1Journal 88Unranked 13
YearRankTypeTitle / Venue / Authors
2026 A* conf
Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning.
AAAI
Liqin Luo, Guangyao Chen, Xiawu Zheng, Yongxing Dai, Yixiong Zou, Yonghong Tian
2026 J jnl
Event-Anchored Frame Selection for Effective Long-Video Understanding.
CoRR
Wang Chen, Yongdong Luo, Yuhui Zeng, Luojun Lin, Tianyu Xie, Fei Chao, Rongrong Ji, Xiawu Zheng
2026 J jnl
Flow caching for autoregressive video generation.
CoRR
Yuexiao Ma, Xuzhe Zheng, Jing Xu, Xiwei Xu, Feng Ling, Xiawu Zheng, Huafeng Kuang, Huixia Li, Xing Wang, Xuefeng Xiao, Fei Chao, Rongrong Ji
2026 J jnl
Good Performance Estimation Strategies are All You Need in Neural Architecture Search.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiawu Zheng, Lei Zhang, Binghan Chen, Mingkai Wang, Fei Chao, Chenglin Wu, Shanshan Wang, Rongrong Ji, Yonghong Tian
2026 A* conf
QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension.
AAAI
Yongdong Luo, Wang Chen, Weizhong Huang, Shukang Yin, Haojia Lin, Jinfa Huang, Chaoyou Fu, Jiayi Ji, Xiawu Zheng, Jiebo Luo
2026 J jnl
SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models.
CoRR
Tianyu Xie, Jinfa Huang, Yuexiao Ma, Rongfang Luo, Yan Yang, Wang Chen, Yuhui Zeng, Ruize Fang, Yixuan Zou, Xiawu Zheng, Jiebo Luo, Rongrong Ji
2026 J jnl
SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning.
CoRR
Haoyu Huang, Jinfa Huang, Zhongwei Wan, Xiawu Zheng, Rongrong Ji, Jiebo Luo
2026 J jnl
Watch Where You Move: Region-Aware Dynamic Aggregation and Excitation for Gait Recognition.
IEEE Trans. Multim.
Binyuan Huang, Yongdong Luo, Xianda Guo, Xiawu Zheng, Zheng Zhu, Jiahui Pan, Chengju Zhou
2026 J jnl
Wavelet-based Frame Selection by Detecting Semantic Boundary for Long Video Understanding.
CoRR
Wang Chen, Yuhui Zeng, Yongdong Luo, Tianyu Xie, Luojun Lin, Jiayi Ji, Yan Zhang, Xiawu Zheng
2025 J jnl
Adaptive Fuzzy Positive Learning for Annotation-Scarce Semantic Segmentation.
Int. J. Comput. Vis.
Pengchong Qiao, Yu Wang, Chang Liu, Lei Shang, Baigui Sun, Zhennan Wang, Xiawu Zheng, Rongrong Ji, Jie Chen
2025 A* conf
Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation.
AAAI
Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Xiawu Zheng, Chang Liu, Jie Chen
2025 J jnl
An Information Theory-Inspired Strategy for Automated Network Pruning.
Int. J. Comput. Vis.
Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji
2025 — conf
Automated Fine-Grained Mixture-of-Experts Quantization.
ACL (Findings)
Zhanhao Xie, Yuexiao Ma, Xiawu Zheng, Fei Chao, Wanchen Sui, Yong Li, Shen Li, Rongrong Ji
2025 A* conf
BAME: Block-Aware Mask Evolution for Efficient N: M Sparse Training.
ICML
Chenyi Yang, Wenjie Nie, Yuxin Zhang, Yuhang Wu, Xiawu Zheng, Guannan Jiang, Rongrong Ji
2025 A* conf
Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective.
ICML
Qingchuan Ma, Yuhang Wu, Xiawu Zheng, Rongrong Ji
2025 J jnl
Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective.
CoRR
Qingchuan Ma, Yuhang Wu, Xiawu Zheng, Rongrong Ji
2025 B conf
Breaking Static Barriers: Dynamic Post-Training Quantization for Diffusion Models.
IJCNN
Xiao Yang, Huixia Li, Lijiang Li, Xiawu Zheng, Yuexiao Ma, Feng Ling, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Fei Chao
2025 J jnl
Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning.
CoRR
Liqin Luo, Guangyao Chen, Xiawu Zheng, Yongxing Dai, Yixiong Zou, Yonghong Tian
2025 — conf
Data Interpreter: An LLM Agent for Data Science.
ACL (Findings)
Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Ceyao Zhang, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Robert Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Yongxin Ni, Zhibin Gou, Zongze Xu, Yuyu Luo, Chenglin Wu
2025 A* conf
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective.
ICML
Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji
2025 J jnl
Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective.
CoRR
Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji
2025 A* conf
Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment.
CVPR
Xudong Li, Wenjie Nie, Yan Zhang, Runze Hu, Ke Li, Xiawu Zheng, Liujuan Cao
2025 A* conf
Dynamic Clustering Convolutional Neural Network.
AAAI
Tanzhe Li, Baochang Zhang, Jiayi Lyu, Xiawu Zheng, Guodong Guo, Taisong Jin
2025 A* conf
Dynamic Low-Rank Sparse Adaptation for Large Language Models.
ICLR
Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Yang Liu, Jing Lin, Yiwu Yao, Rongrong Ji
2025 J jnl
Dynamic Low-Rank Sparse Adaptation for Large Language Models.
CoRR
Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Yang Liu, Jing Lin, Yiwu Yao, Rongrong Ji
2025 A* conf
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.
ICLR
Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji
2025 A* conf
Feature Denoising Diffusion Model for Blind Image Quality Assessment.
AAAI
Xudong Li, Yan Zhang, Yunhang Shen, Ke Li, Runze Hu, Xiawu Zheng, Sicheng Zhao
2025 A* conf
Learning Interleaved Image-Text Comprehension in Vision-Language Large Models.
ICLR
Chenyu Zhou, Mengdan Zhang, Peixian Chen, Chaoyou Fu, Yunhang Shen, Xiawu Zheng, Xing Sun, Rongrong Ji
2025 B conf
Learning Transition Patterns by Large Language Models for Sequential Recommendation.
COLING
Jianyang Zhai, Zi-Feng Mai, Dongyi Zheng, Chang-Dong Wang, Xiawu Zheng, Hui Li, Feidiao Yang, Yonghong Tian
2025 J jnl
Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy.
CoRR
Yunhang Shen, Chaoyou Fu, Shaoqi Dong, Xiong Wang, Yifan Zhang, Peixian Chen, Mengdan Zhang, Haoyu Cao, Ke Li, Xiawu Zheng, Yan Zhang, Yiyi Zhou, Ran He, Caifeng Shan, Rongrong Ji, Xing Sun
2025 J jnl
MCP-Zero: Active Tool Discovery for Autonomous LLM Agents.
CoRR
Xiang Fei, Xiawu Zheng, Hao Feng
2025 J jnl
Mix-Ecom: Towards Mixed-Type E-Commerce Dialogues with Complex Domain Rules.
CoRR
Chenyu Zhou, Xiaoming Shi, Hui Qiu, Xiawu Zheng, Haitao Leng, Yankai Jiang, Shaoguo Liu, Tingting Gao, Rongrong Ji
2025 A* conf
Multimodal Quantitative Language for Generative Recommendation.
ICLR
Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian
2025 J jnl
Multimodal Quantitative Language for Generative Recommendation.
CoRR
Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian
2025 J jnl
Oriented-Derivative Representation for Boundary-Aware Polyp Segmentation.
IEEE Trans. Multim.
Yuke Li, Mengjun Cheng, Xiawu Zheng, Rongrong Ji, Jie Chen
2025 J jnl
Polybasic Speculative Decoding Through a Theoretical Perspective.
CoRR
Ruilin Wang, Huixia Li, Yuexiao Ma, Xiawu Zheng, Fei Chao, Xuefeng Xiao, Rongrong Ji
2025 J jnl
QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension.
CoRR
Yongdong Luo, Wang Chen, Xiawu Zheng, Weizhong Huang, Shukang Yin, Haojia Lin, Chaoyou Fu, Jinfa Huang, Jiayi Ji, Jiebo Luo, Rongrong Ji
2025 J jnl
Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks.
CoRR
Cheng Yang, Haiyuan Wan, Yiran Peng, Xin Chen, Zhaoyang Yu, Jiayi Zhang, Junchi Yu, Xinlei Yu, Xiawu Zheng, Dongzhan Zhou, Chenglin Wu
2025 J jnl
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery.
CoRR
Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian
2025 J jnl
Towards Efficient Automatic Self-Pruning of Large Language Models.
CoRR
Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji
2025 J jnl
Training-Free Multimodal Large Language Model Orchestration.
CoRR
Tianyu Xie, Yuhang Wu, Yongdong Luo, Jiayi Ji, Xiawu Zheng
2025 J jnl
Training-free Anomaly Event Detection via LLM-guided Symbolic Pattern Discovery.
CoRR
Yuhui Zeng, Haoxiang Wu, Wenjie Nie, Guangyao Chen, Xiawu Zheng, Yunhang Shen, Guilin Li, Yixiong Zou, Yonghong Tian, Rongrong Ji
2025 J jnl
UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding.
CoRR
Shuquan Lian, Yuhang Wu, Jia Ma, Zihan Song, Bingqi Chen, Xiawu Zheng, Hui Li
2025 J jnl
VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction.
CoRR
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
2025 A* conf
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
CVPR
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
2025 J jnl
Watch Where You Move: Region-aware Dynamic Aggregation and Excitation for Gait Recognition.
CoRR
Binyuan Huang, Yongdong Luo, Xianda Guo, Xiawu Zheng, Zheng Zhu, Jiahui Pan, Chengju Zhou
2025 J jnl
Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs.
CoRR
Xudong Li, Mengdan Zhang, Peixian Chen, Xiawu Zheng, Yan Zhang, Jingyuan Zheng, Yunhang Shen, Ke Li, Chaoyou Fu, Xin Sun, Rongrong Ji
2025 A* conf
polybasic Speculative Decoding Through a Theoretical Perspective.
ICML
Ruilin Wang, Huixia Li, Yuexiao Ma, Xiawu Zheng, Fei Chao, Xuefeng Xiao, Rongrong Ji
2024 — conf
A Hybrid Performance Estimation Strategy for Optimizing Neural Architecture Search.
UKCI
Lei Zhang, Xiawu Zheng, Jiarui Wu, Xiang Chang, Nigel Copner, Chih-Min Lin, Fei Chao, Yanjie Chen, Changjing Shang, Qiang Shen
2024 J jnl
ARLP: Automatic multi-agent transformer reinforcement learning pruner for one-shot neural network pruning.
Knowl. Based Syst.
Bowen Guo, Xiang Chang, Fei Chao, Xiawu Zheng, Chih-Min Lin, Yanjie Chen, Changjing Shang, Qiang Shen
2024 A* conf
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity.
ICML
Xudong Li, Timin Gao, Runze Hu, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Rongrong Ji
2024 A* conf
AffineQuant: Affine Transformation Quantization for Large Language Models.
ICLR
Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji
2024 J jnl
AffineQuant: Affine Transformation Quantization for Large Language Models.
CoRR
Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji
2024 A* conf
Bilateral Event Mining and Complementary for Event Stream Super-Resolution.
CVPR
Zhilin Huang, Quanmin Liang, Yijie Yu, Chujun Qin, Xiawu Zheng, Kai Huang, Zikun Zhou, Wenming Yang
2024 J jnl
Bilateral Event Mining and Complementary for Event Stream Super-Resolution.
CoRR
Zhilin Huang, Quanmin Liang, Yijie Yu, Chujun Qin, Xiawu Zheng, Kai Huang, Zikun Zhou, Wenming Yang
2024 A* conf
Binding-Adaptive Diffusion Models for Structure-Based Drug Design.
AAAI
Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
2024 J jnl
Binding-Adaptive Diffusion Models for Structure-Based Drug Design.
CoRR
Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang
2024 A* conf
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM.
ACM Multimedia
Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Xing Sun, Liujuan Cao, Rongrong Ji
2024 J jnl
Cantor: Inspiring Multimodal Chain-of-Thought of MLLM.
CoRR
Timin Gao, Peixian Chen, Mengdan Zhang, Chaoyou Fu, Yunhang Shen, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Xing Sun, Liujuan Cao, Rongrong Ji
2024 J jnl
Data Interpreter: An LLM Agent For Data Science.
CoRR
Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Wenyi Wang, Xiangru Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zongze Xu, Chenglin Wu
2024 J jnl
Depth-Guided Semi-Supervised Instance Segmentation.
CoRR
Xin Chen, Jie Hu, Xiawu Zheng, Jianghang Lin, Liujuan Cao, Rongrong Ji
2024 J jnl
EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs.
CoRR
Song Guo, Fan Wu, Lei Zhang, Xiawu Zheng, Shengchuan Zhang, Fei Chao, Yiyu Shi, Rongrong Ji
2024 A* conf
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion.
IJCAI
Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian
2024 J jnl
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion.
CoRR
Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian
2024 J jnl
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.
CoRR
Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji
2024 J jnl
Feature Denoising Diffusion Model for Blind Image Quality Assessment.
CoRR
Xudong Li, Jingyuan Zheng, Runze Hu, Yan Zhang, Ke Li, Yunhang Shen, Xiawu Zheng, Yutao Liu, Shengchuan Zhang, Pingyang Dai, Rongrong Ji
2024 Misc conf
Functionally Similar Multi-Label Knowledge Distillation.
ICASSP
Binghan Chen, Jianlong Hu, Xiawu Zheng, Wei Lin, Fei Chao, Rongrong Ji
2024 A* conf
GraCo: Granularity-Controllable Interactive Segmentation.
CVPR
Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Xiawu Zheng, Rongrong Ji, Chang Liu, Li Yuan, Jie Chen
2024 J jnl
GraCo: Granularity-Controllable Interactive Segmentation.
CoRR
Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Xiawu Zheng, Rongrong Ji, Chang Liu, Li Yuan, Jie Chen
2024 J jnl
Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation.
CoRR
Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Chang Liu, Xiawu Zheng, Rongrong Ji, Jie Chen
2024 A* conf
Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment.
ICML
Xudong Li, Runze Hu, Jingyuan Zheng, Yan Zhang, Shengchuan Zhang, Xiawu Zheng, Ke Li, Yunhang Shen, Yutao Liu, Pingyang Dai, Rongrong Ji
2024 A* conf
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation.
ICML
Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang
2024 J jnl
Local Manifold Learning for No-Reference Image Quality Assessment.
CoRR
Timin Gao, Wensheng Pan, Yan Zhang, Sicheng Zhao, Shengchuan Zhang, Xiawu Zheng, Ke Li, Liujuan Cao, Rongrong Ji
2024 A* conf
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.
ICLR
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
2024 A* conf
Motion-aware Latent Diffusion Models for Video Frame Interpolation.
ACM Multimedia
Zhilin Huang, Yijie Yu, Ling Yang, Chujun Qin, Bing Zheng, Xiawu Zheng, Zikun Zhou, Yaowei Wang, Wenming Yang
2024 J jnl
Motion-aware Latent Diffusion Models for Video Frame Interpolation.
CoRR
Zhilin Huang, Yijie Yu, Ling Yang, Chujun Qin, Bing Zheng, Xiawu Zheng, Zikun Zhou, Yaowei Wang, Wenming Yang
2024 J jnl
Multi-Modal Prompt Learning on Blind Image Quality Assessment.
CoRR
Wensheng Pan, Timin Gao, Yan Zhang, Runze Hu, Xiawu Zheng, Enwei Zhang, Yuting Gao, Yutao Liu, Yunhang Shen, Ke Li, Shengchuan Zhang, Liujuan Cao, Rongrong Ji
2024 — conf
Multi-branch Collaborative Learning Network for 3D Visual Grounding.
ECCV (46)
Zhipeng Qian, Yiwei Ma, Zhekai Lin, Jiayi Ji, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji
2024 J jnl
Multi-branch Collaborative Learning Network for 3D Visual Grounding.
CoRR
Zhipeng Qian, Yiwei Ma, Zhekai Lin, Jiayi Ji, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji
2024 A* conf
Multimodal Inplace Prompt Tuning for Open-set Object Detection.
ACM Multimedia
Guilin Li, Mengdan Zhang, Xiawu Zheng, Peixian Chen, Zihan Wang, Yunhang Shen, Mingchen Zhuge, Chenglin Wu, Fei Chao, Ke Li, Xing Sun, Rongrong Ji
2024 A* conf
Outlier-aware Slicing for Post-Training Quantization in Vision Transformer.
ICML
Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao, Rui Wang, Shilei Wen, Fei Chao, Rongrong Ji
2024 A* conf
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models.
ICLR
Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang
2024 A* conf
RepAn: Enhanced Annealing through Re-parameterization.
CVPR
Xiang Fei, Xiawu Zheng, Yan Wang, Fei Chao, Chenglin Wu, Liujuan Cao
2024 J jnl
Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based Localization.
CoRR
Yongdong Luo, Haojia Lin, Xiawu Zheng, Yigeng Jiang, Fei Chao, Jie Hu, Guannan Jiang, Songan Zhang, Rongrong Ji
2024 A* conf
Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning.
AAAI
Wensheng Pan, Timin Gao, Yan Zhang, Xiawu Zheng, Yunhang Shen, Ke Li, Runze Hu, Yutao Liu, Pingyang Dai
2024 A* conf
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery.
CVPR
Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian
2024 — conf
Textual Grounding for Open-Vocabulary Visual Information Extraction in Layout-Diversified Documents.
ECCV (45)
Mengjun Cheng, Chengquan Zhang, Chang Liu, Yuke Li, Bohan Li, Kun Yao, Xiawu Zheng, Rongrong Ji, Jie Chen
2024 J jnl
Training-Free Transformer Architecture Search With Zero-Cost Proxy Guided Evolution.
IEEE Trans. Pattern Anal. Mach. Intell.
Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Yonghong Tian, Jie Chen, Rongrong Ji
2024 J jnl
Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization.
IEEE Trans. Pattern Anal. Mach. Intell.
Tianshuo Xu, Lijiang Li, Peng Mi, Xiawu Zheng, Fei Chao, Rongrong Ji, Yonghong Tian, Qiang Shen
2024 J jnl
VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models.
CoRR
Chenyu Zhou, Mengdan Zhang, Peixian Chen, Chaoyou Fu, Yunhang Shen, Xiawu Zheng, Xing Sun, Rongrong Ji
2024 J jnl
VITA: Towards Open-Source Interactive Omni Multimodal LLM.
CoRR
Chaoyou Fu, Haojia Lin, Zuwei Long, Yunhang Shen, Meng Zhao, Yifan Zhang, Xiong Wang, Di Yin, Long Ma, Xiawu Zheng, Ran He, Rongrong Ji, Yunsheng Wu, Caifeng Shan, Xing Sun
2024 J jnl
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.
CoRR
Chaoyou Fu, Yuhan Dai, Yondong 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, Rongrong Ji, Xing Sun
2024 J jnl
Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension.
CoRR
Yongdong Luo, Xiawu Zheng, Xiao Yang, Guilin Li, Haojia Lin, Jinfa Huang, Jiayi Ji, Fei Chao, Jiebo Luo, Rongrong Ji
2023 — conf
A Novel Neighbor Aggregation Function for Medical Point Cloud Analysis.
CGI (4)
Fan Wu, Yumeng Qian, Haozhun Zheng, Yan Zhang, Xiawu Zheng
2023 J jnl
A Unified Framework for 3D Point Cloud Visual Grounding.
CoRR
Haojia Lin, Yongdong Luo, Xiawu Zheng, Lijiang Li, Fei Chao, Taisong Jin, Donghao Luo, Chengjie Wang, Yan Wang, Liujuan Cao
2023 A* conf
A Unified Framework for Soft Threshold Pruning.
ICLR
Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
2023 J jnl
A Unified Framework for Soft Threshold Pruning.
CoRR
Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
2023 J jnl
Adaptive Feature Selection for No-Reference Image Quality Assessment using Contrastive Mitigating Semantic Noise Sensitivity.
CoRR
Xudong Li, Timin Gao, Xiawu Zheng, Runze Hu, Jingyuan Zheng, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji
2023 — conf
Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI.
ISBI
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang
2023 A* conf
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration.
ICCV
Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji
2023 J jnl
AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration.
CoRR
Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji
2023 A* conf
Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle.
ICCV
Song Guo, Lei Zhang, Xiawu Zheng, Yan Wang, Yuchao Li, Fei Chao, Chenglin Wu, Shengchuan Zhang, Rongrong Ji
2023 J jnl
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning.
Int. J. Comput. Vis.
Xiawu Zheng, Chenyi Yang, Shaokun Zhang, Yan Wang, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao, Rongrong Ji
2023 J jnl
DLIP: Distilling Language-Image Pre-training.
CoRR
Huafeng Kuang, Jie Wu, Xiawu Zheng, Ming Li, Xuefeng Xiao, Rui Wang, Min Zheng, Rongrong Ji
2023 A* conf
Data-Efficient Image Quality Assessment with Attention-Panel Decoder.
AAAI
Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li, Yan Zhang
2023 J jnl
Data-Efficient Image Quality Assessment with Attention-Panel Decoder.
CoRR
Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li, Yan Zhang
2023 — conf
Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans.
ISBI
Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang
2023 A* conf
Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning.
NeurIPS
Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, Jie Chen
2023 A* conf
Event-Diffusion: Event-Based Image Reconstruction and Restoration with Diffusion Models.
ACM Multimedia
Quanmin Liang, Xiawu Zheng, Kai Huang, Yan Zhang, Jie Chen, Yonghong Tian
2023 — conf
GLViG: Global and Local Vision GNN May Be What You Need for Vision.
PRCV (9)
Tanzhe Li, Wei Lin, Xiawu Zheng, Taisong Jin
2023 — conf
Iterative Data Refinement for Self-Supervised Learning MR Image Reconstruction.
ISBI
Xue Liu, Juan Zou, Tao Sun, Ruoyou Wu, Xiawu Zheng, Cheng Li, Shanshan Wang
2023 A* conf
Knowledge Prompt-tuning for Sequential Recommendation.
ACM Multimedia
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
2023 J jnl
Knowledge Prompt-tuning for Sequential Recommendation.
CoRR
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
2023 — conf
Learning Sparse Neural Networks with Identity Layers.
ICIG (3)
Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian
2023 J jnl
Learning Sparse Neural Networks with Identity Layers.
CoRR
Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian
2023 J jnl
Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment.
CoRR
Xudong Li, Jingyuan Zheng, Xiawu Zheng, Runze Hu, Enwei Zhang, Yuting Gao, Yunhang Shen, Ke Li, Yutao Liu, Pingyang Dai, Yan Zhang, Rongrong Ji
2023 A* conf
LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization.
ACM Multimedia
Xinzi Cao, Xiawu Zheng, Yunhang Shen, Ke Li, Jie Chen, Yutong Lu, Yonghong Tian
2023 J jnl
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.
CoRR
Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Zhenyu Qiu, Wei Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Rongrong Ji
2023 A* conf
Meta Architecture for Point Cloud Analysis.
CVPR
Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji
2023 J jnl
MetaGPT: Meta Programming for Multi-Agent Collaborative Framework.
CoRR
Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu
2023 A* conf
OMPQ: Orthogonal Mixed Precision Quantization.
AAAI
Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Guannan Jiang, Wei Zhang, Rongrong Ji
2023 A* conf
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning.
CVPR
Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen
2023 J jnl
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning.
CoRR
Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen
2023 J jnl
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network.
CoRR
Man Yao, Yuhong Chou, Guangshe Zhao, Xiawu Zheng, Yonghong Tian, Bo Xu, Guoqi Li
2023 A* conf
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective.
CVPR
Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji
2023 J jnl
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective.
CoRR
Yuexiao Ma, Huixia Li, Xiawu Zheng, Xuefeng Xiao, Rui Wang, Shilei Wen, Xin Pan, Fei Chao, Rongrong Ji
2023 — conf
Two-Stage Deep Learning Segmentation for Tiny Brain Regions.
PRCV (13)
Yan Ren, Xiawu Zheng, Rongrong Ji, Jie Chen
2022 J jnl
Adaptive PromptNet For Auxiliary Glioma Diagnosis without Contrast-Enhanced MRI.
CoRR
Yeqi Wang, Weijian Huang, Cheng Li, Xiawu Zheng, Yusong Lin, Shanshan Wang
2022 J jnl
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans.
CoRR
Haoran Li, Cheng Li, Weijian Huang, Xiawu Zheng, Yan Xi, Shanshan Wang
2022 J jnl
Iterative Data Refinement for Self-Supervised MR Image Reconstruction.
CoRR
Xue Liu, Juan Zou, Xiawu Zheng, Cheng Li, Hairong Zheng, Shanshan Wang
2022 J jnl
Meta Architecure for Point Cloud Analysis.
CoRR
Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji
2022 A* conf
Neural Architecture Search with Representation Mutual Information.
CVPR
Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji
2022 A* conf
Searching Lightweight Neural Network for Image Signal Processing.
ACM Multimedia
Haojia Lin, Lijiang Li, Xiawu Zheng, Fei Chao, Rongrong Ji
2022 A* conf
Training-free Transformer Architecture Search.
CVPR
Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji
2022 J jnl
Training-free Transformer Architecture Search.
CoRR
Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji
2022 J jnl
What Hinders Perceptual Quality of PSNR-oriented Methods?
CoRR
Tianshuo Xu, Peng Mi, Xiawu Zheng, Lijiang Li, Fei Chao, Guannan Jiang, Wei Zhang, Yiyi Zhou, Rongrong Ji
2021 J jnl
Aggregating Global and Local Visual Representation for Vehicle Re-IDentification.
IEEE Trans. Multim.
Xianming Lin, Run Li, Xiawu Zheng, Pai Peng, Yongjian Wu, Feiyue Huang, Rongrong Ji
2021 J jnl
An Information Theory-inspired Strategy for Automatic Network Pruning.
CoRR
Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji
2021 J jnl
Binarized Neural Architecture Search for Efficient Object Recognition.
Int. J. Comput. Vis.
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo
2021 A* conf
CDP: Towards Optimal Filter Pruning via Class-wise Discriminative Power.
ACM Multimedia
Tianshuo Xu, Yuhang Wu, Xiawu Zheng, Teng Xi, Gang Zhang, Errui Ding, Fei Chao, Rongrong Ji
2021 A* conf
EC-DARTS: Inducing Equalized and Consistent Optimization into DARTS.
ICCV
Qinqin Zhou, Xiawu Zheng, Liujuan Cao, Bineng Zhong, Teng Xi, Gang Zhang, Errui Ding, Mingliang Xu, Rongrong Ji
2021 J jnl
Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiawu Zheng, Yang Zhang, Sirui Hong, Huixia Li, Lang Tang, Youcheng Xiong, Jin Zhou, Yan Wang, Xiaoshuai Sun, Pengfei Zhu, Chenglin Wu, Rongrong Ji
2021 J jnl
MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiawu Zheng, Rongrong Ji, Yuhang Chen, Qiang Wang, Baochang Zhang, Jie Chen, Qixiang Ye, Feiyue Huang, Yonghong Tian
2021 J jnl
OMPQ: Orthogonal Mixed Precision Quantization.
CoRR
Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Guannan Jiang, Wei Zhang, Rongrong Ji
2021 J jnl
On Evolving Attention Towards Domain Adaptation.
CoRR
Kekai Sheng, Ke Li, Xiawu Zheng, Jian Liang, Weiming Dong, Feiyue Huang, Rongrong Ji, Xing Sun
2021 J jnl
You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient.
CoRR
Shaokun Zhang, Xiawu Zheng, Chenyi Yang, Yuchao Li, Yan Wang, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji
2020 J jnl
Binarized Neural Architecture Search for Efficient Object Recognition.
CoRR
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo
2020 A* conf
Binarized Neural Architecture Search.
AAAI
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji
2020 — conf
PAMS: Quantized Super-Resolution via Parameterized Max Scale.
ECCV (25)
Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji
2020 J jnl
PAMS: Quantized Super-Resolution via Parameterized Max Scale.
CoRR
Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Yuchao Li, Baochang Zhang, Fan Yang, Rongrong Ji
2020 A* conf
Rethinking Performance Estimation in Neural Architecture Search.
CVPR
Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian
2020 J jnl
Rethinking Performance Estimation in Neural Architecture Search.
CoRR
Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian
2019 J jnl
Binarized Neural Architecture Search.
CoRR
Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji
2019 J jnl
Dynamic Distribution Pruning for Efficient Network Architecture Search.
CoRR
Xiawu Zheng, Rongrong Ji, Lang Tang, Yan Wan, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao
2019 A* conf
Multinomial Distribution Learning for Effective Neural Architecture Search.
ICCV
Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian
2019 J jnl
Multinomial Distribution Learning for Effective Neural Architecture Search.
CoRR
Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian
2019 A* conf
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer.
AAAI
Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Yongjian Wu, Feiyue Huang
2018 A* conf
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval.
IJCAI
Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Feiyue Huang, Yanhua Yang