Xiawu Zheng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
60
Venues
13
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
60 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension. | Yongdong Luo, Wang Chen, Weizhong Huang, Shukang Yin, Haojia Lin, Jinfa Huang, Chaoyou Fu, Jiayi Ji, Xiawu Zheng, Jiebo Luo |
| 2026 | AAAI | Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning. | Liqin Luo, Guangyao Chen, Xiawu Zheng, Yongxing Dai, Yixiong Zou, Yonghong Tian |
| 2026 | ACL | Relaxing the Constraints: A Dual-Importance Projection Mechanism for Lifelong Model Editing. | Zhenghai Chen, Senbin Xu, Jiaxi Tan, Xinhua Wu, Yan Zhang, Xiawu Zheng, Shengchuan Zhang, Ke Li, Sicheng Zhao, Liujuan Cao, Rongrong Ji |
| 2026 | ACL | ALGOGEN: Tool-Generated Verifiable Traces for Reliable Algorithm Visualization. | Kunpeng Liao, Yuexiao Ma, Yisheng Lin, Hualin Zeng, Xiawu Zheng, Rongrong Ji |
| 2025 | AAAI | 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 |
| 2025 | AAAI | Dynamic Clustering Convolutional Neural Network. | Tanzhe Li, Baochang Zhang, Jiayi Lyu, Xiawu Zheng, Guodong Guo, Taisong Jin |
| 2025 | AAAI | Feature Denoising Diffusion Model for Blind Image Quality Assessment. | Xudong Li, Yan Zhang, Yunhang Shen, Ke Li, Runze Hu, Xiawu Zheng, Sicheng Zhao |
| 2025 | ACL | Data Interpreter: An LLM Agent for Data Science. | 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 | ACL | Automated Fine-Grained Mixture-of-Experts Quantization. | Zhanhao Xie, Yuexiao Ma, Xiawu Zheng, Fei Chao, Wanchen Sui, Yong Li, Shen Li, Rongrong Ji |
| 2025 | COLING | Learning Transition Patterns by Large Language Models for Sequential Recommendation. | Jianyang Zhai, Zi-Feng Mai, Dongyi Zheng, Chang-Dong Wang, Xiawu Zheng, Hui Li, Feidiao Yang, Yonghong Tian |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment. | Xudong Li, Wenjie Nie, Yan Zhang, Runze Hu, Ke Li, Xiawu Zheng, Liujuan Cao |
| 2025 | ICCV | ALLGCD: Leveraging All Unlabeled Data for Generalized Category Discovery. | Xinzi Cao, Ke Chen, Feidiao Yang, Xiawu Zheng, Yonghong Tian, Yutong Lu |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICLR | Dynamic Low-Rank Sparse Adaptation for Large Language Models. | Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Yang Liu, Jing Lin, Yiwu Yao, Rongrong Ji |
| 2025 | ICLR | Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models. | Gen Luo, Yiyi Zhou, Yuxin Zhang, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji |
| 2025 | ICLR | Multimodal Quantitative Language for Generative Recommendation. | Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian |
| 2025 | ICLR | 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 |
| 2025 | ICML | Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective. | Weizhong Huang, Yuxin Zhang, Xiawu Zheng, Fei Chao, Rongrong Ji |
| 2025 | ICML | Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective. | Qingchuan Ma, Yuhang Wu, Xiawu Zheng, Rongrong Ji |
| 2025 | ICML | polybasic Speculative Decoding Through a Theoretical Perspective. | Ruilin Wang, Huixia Li, Yuexiao Ma, Xiawu Zheng, Fei Chao, Xuefeng Xiao, Rongrong Ji |
| 2025 | ICML | 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 |
| 2025 | IJCNN | Breaking Static Barriers: Dynamic Post-Training Quantization for Diffusion Models. | Xiao Yang, Huixia Li, Lijiang Li, Xiawu Zheng, Yuexiao Ma, Feng Ling, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Fei Chao |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | CVPR | 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 |
| 2024 | CVPR | RepAn: Enhanced Annealing through Re-parameterization. | Xiang Fei, Xiawu Zheng, Yan Wang, Fei Chao, Chenglin Wu, Liujuan Cao |
| 2024 | CVPR | 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 |
| 2024 | CVPR | GraCo: Granularity-Controllable Interactive Segmentation. | Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Xiawu Zheng, Rongrong Ji, Chang Liu, Li Yuan, Jie Chen |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Multi-branch Collaborative Learning Network for 3D Visual Grounding. | Zhipeng Qian, Yiwei Ma, Zhekai Lin, Jiayi Ji, Xiawu Zheng, Xiaoshuai Sun, Rongrong Ji |
| 2024 | ICASSP | Functionally Similar Multi-Label Knowledge Distillation. | Binghan Chen, Jianlong Hu, Xiawu Zheng, Wei Lin, Fei Chao, Rongrong Ji |
| 2024 | ICLR | 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, Jrgen Schmidhuber |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | IJCAI | Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion. | Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian |
| 2023 | AAAI | OMPQ: Orthogonal Mixed Precision Quantization. | Yuexiao Ma, Taisong Jin, Xiawu Zheng, Yan Wang, Huixia Li, Yongjian Wu, Guannan Jiang, Wei Zhang, Rongrong Ji |
| 2023 | AAAI | Data-Efficient Image Quality Assessment with Attention-Panel Decoder. | Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li, Yan Zhang |
| 2023 | CGI | A Novel Neighbor Aggregation Function for Medical Point Cloud Analysis. | Fan Wu, Yumeng Qian, Haozhun Zheng, Yan Zhang, Xiawu Zheng |
| 2023 | CVPR | Meta Architecture for Point Cloud Analysis. | Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning. | Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICIG | Learning Sparse Neural Networks with Identity Layers. | Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian |
| 2023 | ICLR | A Unified Framework for Soft Threshold Pruning. | Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Training-free Transformer Architecture Search. | Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji |
| 2021 | ICCV | 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 |
| 2020 | AAAI | Binarized Neural Architecture Search. | Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji |
| 2020 | CVPR | Rethinking Performance Estimation in Neural Architecture Search. | Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian |
| 2020 | ECCV | PAMS: Quantized Super-Resolution via Parameterized Max Scale. | Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji |
| 2019 | AAAI | 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 |
| 2019 | ICCV | Multinomial Distribution Learning for Effective Neural Architecture Search. | Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian |
| 2018 | IJCAI | Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval. | Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Feiyue Huang, Yanhua Yang |