Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval. - Xiawu Zheng; Rongrong Ji; Xiaoshuai Sun; Yongjian Wu 001; Feiyue Huang; Yanhua Yang (IJCAI, 2018)

Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer. - Xiawu Zheng; Rongrong Ji; Xiaoshuai Sun; Baochang Zhang 001; Yongjian Wu 001; Feiyue Huang (AAAI, 2019)

Multinomial Distribution Learning for Effective Neural Architecture Search. - Xiawu Zheng; Rongrong Ji; Lang Tang; Baochang Zhang 001; Jianzhuang Liu; Qi Tian 001 (ICCV, 2019)

Dynamic Distribution Pruning for Efficient Network Architecture Search. - Xiawu Zheng; Rongrong Ji; Lang Tang; Yan Wan; Baochang Zhang 001; Yongjian Wu 001; Yunsheng Wu; Ling Shao 001 (CoRR, 2019)

Binarized Neural Architecture Search. - Hanlin Chen; Li'an Zhuo; Baochang Zhang 001; Xiawu Zheng; Jianzhuang Liu; David S. Doermann; Rongrong Ji (AAAI, 2020)

Rethinking Performance Estimation in Neural Architecture Search. - Xiawu Zheng; Rongrong Ji; Qiang Wang 060; Qixiang Ye; Zhenguo Li; Yonghong Tian 001; Qi Tian 001 (CVPR, 2020)

PAMS: Quantized Super-Resolution via Parameterized Max Scale. - Huixia Li; Chenqian Yan; Shaohui Lin; Xiawu Zheng; Baochang Zhang 001; Fan Yang 016; Rongrong Ji (ECCV (25), 2020)

PAMS: Quantized Super-Resolution via Parameterized Max Scale. - Huixia Li; Chenqian Yan; Shaohui Lin; Xiawu Zheng; Yuchao Li; Baochang Zhang 001; Fan Yang 016; Rongrong Ji (CoRR, 2020)

EC-DARTS: Inducing Equalized and Consistent Optimization into DARTS. - Qinqin Zhou 001; Xiawu Zheng; Liujuan Cao; Bineng Zhong; Teng Xi; Gang Zhang; Errui Ding; Mingliang Xu 001; Rongrong Ji (ICCV, 2021)

CDP: Towards Optimal Filter Pruning via Class-wise Discriminative Power. - Tianshuo Xu; Yuhang Wu 004; Xiawu Zheng; Teng Xi; Gang Zhang; Errui Ding; Fei Chao 001; Rongrong Ji (ACM Multimedia, 2021)

On Evolving Attention Towards Domain Adaptation. - Kekai Sheng; Ke Li 015; Xiawu Zheng; Jian Liang; Weiming Dong; Feiyue Huang; Rongrong Ji; Xing Sun 001 (CoRR, 2021)

You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient. - Shaokun Zhang; Xiawu Zheng; Chenyi Yang; Yuchao Li; Yan Wang 059; Fei Chao 001; Mengdi Wang; Shen Li; Jun Yang; Rongrong Ji (CoRR, 2021)

An Information Theory-inspired Strategy for Automatic Network Pruning. - Xiawu Zheng; Yuexiao Ma; Teng Xi; Gang Zhang; Errui Ding; Yuchao Li; Jie Chen 001; Yonghong Tian 001; Rongrong Ji (CoRR, 2021)

OMPQ: Orthogonal Mixed Precision Quantization. - Yuexiao Ma; Taisong Jin; Xiawu Zheng; Yan Wang 059; Huixia Li; Guannan Jiang; Wei Zhang 217; Rongrong Ji (CoRR, 2021)

Binarized Neural Architecture Search for Efficient Object Recognition. - Hanlin Chen; Li'an Zhuo; Baochang Zhang 001; Xiawu Zheng; Jianzhuang Liu; Rongrong Ji; David S. Doermann; Guodong Guo (Int. J. Comput. Vis., 2021)

MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search. - Xiawu Zheng; Rongrong Ji; Yuhang Chen; Qiang Wang 060; Baochang Zhang 001; Jie Chen 001; Qixiang Ye; Feiyue Huang; Yonghong Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Evolving Fully Automated Machine Learning via Life-Long Knowledge Anchors. - Xiawu Zheng; Yang Zhang 079; Sirui Hong; Huixia Li; Lang Tang; Youcheng Xiong; Jin Zhou; Yan Wang 059; Xiaoshuai Sun; Pengfei Zhu 001; Chenglin Wu; Rongrong Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Aggregating Global and Local Visual Representation for Vehicle Re-IDentification. - Xianming Lin; Run Li; Xiawu Zheng; Pai Peng; Yongjian Wu 001; Feiyue Huang; Rongrong Ji (IEEE Trans. Multim., 2021)

Neural Architecture Search with Representation Mutual Information. - Xiawu Zheng; Xiang Fei; Lei Zhang 001; Chenglin Wu; Fei Chao 001; Jianzhuang Liu; Wei Zeng 006; Yonghong Tian 001; Rongrong Ji (CVPR, 2022)

Training-free Transformer Architecture Search. - Qinqin Zhou 001; Kekai Sheng; Xiawu Zheng; Ke Li 015; Xing Sun 001; Yonghong Tian 001; Jie Chen 001; Rongrong Ji (CVPR, 2022)

Searching Lightweight Neural Network for Image Signal Processing. - Haojia Lin; Lijiang Li; Xiawu Zheng; Fei Chao 001; Rongrong Ji (ACM Multimedia, 2022)

What Hinders Perceptual Quality of PSNR-oriented Methods? - Tianshuo Xu; Peng Mi; Xiawu Zheng; Lijiang Li; Fei Chao 001; Guannan Jiang; Wei Zhang 217; Yiyi Zhou; Rongrong Ji (CoRR, 2022)

Iterative Data Refinement for Self-Supervised MR Image Reconstruction. - Xue Liu; Juan Zou; Xiawu Zheng; Cheng Li 008; Hairong Zheng; Shanshan Wang 002 (CoRR, 2022)

Meta Architecure for Point Cloud Analysis. - Haojia Lin; Xiawu Zheng; Lijiang Li; Fei Chao 001; Shanshan Wang 002; Yan Wang 059; Yonghong Tian 001; Rongrong Ji (CoRR, 2022)

OMPQ: Orthogonal Mixed Precision Quantization. - Yuexiao Ma; Taisong Jin; Xiawu Zheng; Yan Wang 059; Huixia Li; Yongjian Wu 001; Guannan Jiang; Wei Zhang 217; Rongrong Ji (AAAI, 2023)

Data-Efficient Image Quality Assessment with Attention-Panel Decoder. - Guanyi Qin; Runze Hu; Yutao Liu 002; Xiawu Zheng; Haotian Liu; Xiu Li 001; Yan Zhang 109 (AAAI, 2023)

A Novel Neighbor Aggregation Function for Medical Point Cloud Analysis. - Fan Wu 006; Yumeng Qian; Haozhun Zheng; Yan Zhang 109; Xiawu Zheng (CGI (4), 2023)

Meta Architecture for Point Cloud Analysis. - Haojia Lin; Xiawu Zheng; Lijiang Li; Fei Chao 001; Shanshan Wang 002; Yan Wang 059; Yonghong Tian 001; Rongrong Ji (CVPR, 2023)

Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective. - Yuexiao Ma; Huixia Li; Xiawu Zheng; Xuefeng Xiao 001; Rui Wang 089; Shilei Wen; Xin Pan; Fei Chao 001; Rongrong Ji (CVPR, 2023)

Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning. - Yu Wang; Pengchong Qiao; Chang Liu 030; Guoli Song; Xiawu Zheng; Jie Chen 001 (CVPR, 2023)

Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle. - Song Guo 001; Lei Zhang 001; Xiawu Zheng; Yan Wang 059; Yuchao Li; Fei Chao 001; Chenglin Wu; Shengchuan Zhang; Rongrong Ji (ICCV, 2023)

AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration. - Lijiang Li; Huixia Li; Xiawu Zheng; Jie Wu 032; Xuefeng Xiao 001; Rui Wang 089; Min Zheng; Xin Pan; Fei Chao 001; Rongrong Ji (ICCV, 2023)

Learning Sparse Neural Networks with Identity Layers. - Mingjian Ni; Guangyao Chen; Xiawu Zheng; Peixi Peng; Li Yuan 007; Yonghong Tian 001 (ICIG (3), 2023)

A Unified Framework for Soft Threshold Pruning. - Yanqi Chen; Zhengyu Ma; Wei Fang 006; Xiawu Zheng; Zhaofei Yu; Yonghong Tian 001 (ICLR, 2023)

Digest: Deeply Supervised Knowledge Transfer Network Learning for Brain Tumor Segmentation with Incomplete Multi-Modal MRI Scans. - Haoran Li; Cheng Li 008; Weijian Huang; Xiawu Zheng; Yan Xi; Shanshan Wang 002 (ISBI, 2023)

Iterative Data Refinement for Self-Supervised Learning MR Image Reconstruction. - Xue Liu; Juan Zou; Tao Sun 025; Ruoyou Wu; Xiawu Zheng; Cheng Li 008; Shanshan Wang 002 (ISBI, 2023)

Adaptive PromptNet for Auxiliary Glioma Diagnosis Without Contrast-Enhanced MRI. - Yeqi Wang; Weijian Huang; Cheng Li 008; Xiawu Zheng; Yusong Lin; Shanshan Wang 002 (ISBI, 2023)

LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization. - Xinzi Cao; Xiawu Zheng; Yunhang Shen; Ke Li 015; Jie Chen 001; Yutong Lu; Yonghong Tian 001 (ACM Multimedia, 2023)

Event-Diffusion: Event-Based Image Reconstruction and Restoration with Diffusion Models. - Quanmin Liang; Xiawu Zheng; Kai Huang 001; Yan Zhang 109; Jie Chen 001; Yonghong Tian 001 (ACM Multimedia, 2023)

Knowledge Prompt-tuning for Sequential Recommendation. - Jianyang Zhai; Xiawu Zheng; Chang-Dong Wang 001; Hui Li 057; Yonghong Tian 001 (ACM Multimedia, 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 030; Nicu Sebe; Rongrong Ji; Jie Chen 001 (NeurIPS, 2023)

GLViG: Global and Local Vision GNN May Be What You Need for Vision. - Tanzhe Li; Wei Lin 004; Xiawu Zheng; Taisong Jin (PRCV (9), 2023)

Two-Stage Deep Learning Segmentation for Tiny Brain Regions. - Yan Ren; Xiawu Zheng; Rongrong Ji; Jie Chen 001 (PRCV (13), 2023)

Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network. - Man Yao; Yuhong Chou; Guangshe Zhao; Xiawu Zheng; Yonghong Tian 001; Bo Xu 002; Guoqi Li (CoRR, 2023)

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models. - Chaoyou Fu; Peixian Chen; Yunhang Shen; Yulei Qin; Mengdan Zhang; Xu Lin; Zhenyu Qiu; Wei Lin 004; Jinrui Yang; Xiawu Zheng; Ke Li 015; Xing Sun 001; et al. (CoRR, 2023)

MetaGPT: Meta Programming for Multi-Agent Collaborative Framework. - 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; et al. (CoRR, 2023)

A Unified Framework for 3D Point Cloud Visual Grounding. - Haojia Lin; Yongdong Luo; Xiawu Zheng; Lijiang Li; Fei Chao 001; Taisong Jin; Donghao Luo 001; Chengjie Wang; Yan Wang 059; Liujuan Cao (CoRR, 2023)

DLIP: Distilling Language-Image Pre-training. - Huafeng Kuang; Jie Wu 032; Xiawu Zheng; Ming Li 010; Xuefeng Xiao 001; Rui Wang 089; Min Zheng; Rongrong Ji (CoRR, 2023)

Less is More: Learning Reference Knowledge Using No-Reference Image Quality Assessment. - Xudong Li; Jingyuan Zheng; Xiawu Zheng; Runze Hu; Enwei Zhang; Yuting Gao; Yunhang Shen; Ke Li 015; Yutao Liu 002; Pingyang Dai; Yan Zhang 109; Rongrong Ji (CoRR, 2023)

Adaptive Feature Selection for No-Reference Image Quality Assessment using Contrastive Mitigating Semantic Noise Sensitivity. - Xudong Li; Timin Gao; Xiawu Zheng; Runze Hu; Jingyuan Zheng; Yunhang Shen; Ke Li 015; Yutao Liu 002; Pingyang Dai; Yan Zhang 109; Rongrong Ji (CoRR, 2023)

DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning. - Xiawu Zheng; Chenyi Yang; Shaokun Zhang; Yan Wang 059; Baochang Zhang 001; Yongjian Wu 001; Yunsheng Wu; Ling Shao 001; Rongrong Ji (Int. J. Comput. Vis., 2023)

Binding-Adaptive Diffusion Models for Structure-Based Drug Design. - Zhilin Huang; Ling Yang 006; Zaixi Zhang; Xiangxin Zhou; Yu Bao; Xiawu Zheng; Yuwei Yang; Yu Wang; Wenming Yang (AAAI, 2024)

Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning. - Wensheng Pan; Timin Gao; Yan Zhang 109; Xiawu Zheng; Yunhang Shen; Ke Li 015; Runze Hu; Yutao Liu 002; Pingyang Dai (AAAI, 2024)

Solving the Catastrophic Forgetting Problem in Generalized Category Discovery. - Xinzi Cao; Xiawu Zheng; Guanhong Wang; Weijiang Yu; Yunhang Shen; Ke Li 015; Yutong Lu; Yonghong Tian 001 (CVPR, 2024)

RepAn: Enhanced Annealing through Re-parameterization. - Xiang Fei; Xiawu Zheng; Yan Wang 059; Fei Chao 001; Chenglin Wu; Liujuan Cao (CVPR, 2024)

Bilateral Event Mining and Complementary for Event Stream Super-Resolution. - Zhilin Huang; Quanmin Liang; Yijie Yu 001; Chujun Qin; Xiawu Zheng; Kai Huang 001; Zikun Zhou; Wenming Yang (CVPR, 2024)

GraCo: Granularity-Controllable Interactive Segmentation. - Yian Zhao; Kehan Li 002; Zesen Cheng; Pengchong Qiao; Xiawu Zheng; Rongrong Ji; Chang Liu 030; Li Yuan 007; Jie Chen 001 (CVPR, 2024)

Textual Grounding for Open-Vocabulary Visual Information Extraction in Layout-Diversified Documents. - Mengjun Cheng; Chengquan Zhang; Chang Liu 047; Yuke Li; Bohan Li; Kun Yao; Xiawu Zheng; Rongrong Ji; Jie Chen 001 (ECCV (45), 2024)

Multi-branch Collaborative Learning Network for 3D Visual Grounding. - Zhipeng Qian; Yiwei Ma; Zhekai Lin; Jiayi Ji; Xiawu Zheng; Xiaoshuai Sun; Rongrong Ji (ECCV (46), 2024)

Functionally Similar Multi-Label Knowledge Distillation. - Binghan Chen; Jianlong Hu; Xiawu Zheng; Wei Lin 004; Fei Chao 001; Rongrong Ji (ICASSP, 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; et al. (ICLR, 2024)

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models. - Zhilin Huang; Ling Yang 006; Xiangxin Zhou; Zhilong Zhang; Wentao Zhang 001; Xiawu Zheng; Jie Chen 001; Yu Wang; Bin Cui 001; Wenming Yang (ICLR, 2024)

AffineQuant: Affine Transformation Quantization for Large Language Models. - Yuexiao Ma; Huixia Li; Xiawu Zheng; Feng Ling; Xuefeng Xiao 001; Rui Wang 089; Shilei Wen; Fei Chao 001; Rongrong Ji (ICLR, 2024)

Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation. - Zhilin Huang; Ling Yang 006; Xiangxin Zhou; Chujun Qin; Yijie Yu 001; Xiawu Zheng; Zikun Zhou; Wentao Zhang 001; Yu Wang; Wenming Yang (ICML, 2024)

Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity. - Xudong Li; Timin Gao; Runze Hu; Yan Zhang 109; Shengchuan Zhang; Xiawu Zheng; Jingyuan Zheng; Yunhang Shen; Ke Li 015; Yutao Liu 002; Pingyang Dai; Rongrong Ji (ICML, 2024)

Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment. - Xudong Li; Runze Hu; Jingyuan Zheng; Yan Zhang 109; Shengchuan Zhang; Xiawu Zheng; Ke Li 015; Yunhang Shen; Yutao Liu 002; Pingyang Dai; Rongrong Ji (ICML, 2024)

Outlier-aware Slicing for Post-Training Quantization in Vision Transformer. - Yuexiao Ma; Huixia Li; Xiawu Zheng; Feng Ling; Xuefeng Xiao 001; Rui Wang 089; Shilei Wen; Fei Chao 001; Rongrong Ji (ICML, 2024)

Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion. - Quanmin Liang; Zhilin Huang; Xiawu Zheng; Feidiao Yang; Jun Peng; Kai Huang 001; Yonghong Tian 001 (IJCAI, 2024)

Cantor: Inspiring Multimodal Chain-of-Thought of MLLM. - Timin Gao; Peixian Chen; Mengdan Zhang; Chaoyou Fu; Yunhang Shen; Yan Zhang 109; Shengchuan Zhang; Xiawu Zheng; Xing Sun 001; Liujuan Cao; Rongrong Ji (ACM Multimedia, 2024)

Motion-aware Latent Diffusion Models for Video Frame Interpolation. - Zhilin Huang; Yijie Yu 001; Ling Yang 006; Chujun Qin; Bing Zheng; Xiawu Zheng; Zikun Zhou; Yaowei Wang 001; Wenming Yang (ACM Multimedia, 2024)

Multimodal Inplace Prompt Tuning for Open-set Object Detection. - Guilin Li; Mengdan Zhang; Xiawu Zheng; Peixian Chen; Zihan Wang; Yunhang Shen; Mingchen Zhuge; Chenglin Wu; Fei Chao 001; Ke Li 015; Xing Sun 001; Rongrong Ji (ACM Multimedia, 2024)

A Hybrid Performance Estimation Strategy for Optimizing Neural Architecture Search. - Lei Zhang 001; Xiawu Zheng; Jiarui Wu; Xiang Chang; Nigel Copner; Chih-Min Lin; Fei Chao 001; Yanjie Chen; Changjing Shang; Qiang Shen 001 (UKCI, 2024)

Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation. - Zesen Cheng; Kehan Li 002; Hao Li 073; Peng Jin 001; Chang Liu 030; Xiawu Zheng; Rongrong Ji; Jie Chen 001 (CoRR, 2024)

Feature Denoising Diffusion Model for Blind Image Quality Assessment. - Xudong Li; Jingyuan Zheng; Runze Hu; Yan Zhang 109; Ke Li 015; Yunhang Shen; Xiawu Zheng; Yutao Liu 002; Shengchuan Zhang; Pingyang Dai; Rongrong Ji (CoRR, 2024)

EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs. - Song Guo 001; Fan Wu 006; Lei Zhang 001; Xiawu Zheng; Shengchuan Zhang; Fei Chao 001; Yiyu Shi 001; Rongrong Ji (CoRR, 2024)

Data Interpreter: An LLM Agent For Data Science. - Sirui Hong; Yizhang Lin; Bang Liu; Bangbang Liu; Binhao Wu; Danyang Li; Jiaqi Chen; Jiayi Zhang; Jinlin Wang; Li Zhang; Lingyao Zhang; Min Yang; et al. (CoRR, 2024)

Rethinking 3D Dense Caption and Visual Grounding in A Unified Framework through Prompt-based Localization. - Yongdong Luo; Haojia Lin; Xiawu Zheng; Yigeng Jiang; Fei Chao 001; Jie Hu 018; Guannan Jiang; Songan Zhang; Rongrong Ji (CoRR, 2024)

Multi-Modal Prompt Learning on Blind Image Quality Assessment. - Wensheng Pan; Timin Gao; Yan Zhang 109; Runze Hu; Xiawu Zheng; Enwei Zhang; Yuting Gao; Yutao Liu 002; Yunhang Shen; Ke Li 015; Shengchuan Zhang; Liujuan Cao; et al. (CoRR, 2024)

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. - Chaoyou Fu; Yuhan Dai; Yondong Luo; Lei Li; Shuhuai Ren; Renrui Zhang; Zihan Wang; Chenyu Zhou; Yunhang Shen; Mengdan Zhang; Peixian Chen; Yanwei Li; et al. (CoRR, 2024)

VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models. - Chenyu Zhou; Mengdan Zhang; Peixian Chen; Chaoyou Fu; Yunhang Shen; Xiawu Zheng; Xing Sun 001; Rongrong Ji (CoRR, 2024)

Depth-Guided Semi-Supervised Instance Segmentation. - Xin Chen 032; Jie Hu 018; Xiawu Zheng; Jianghang Lin; Liujuan Cao; Rongrong Ji (CoRR, 2024)

Local Manifold Learning for No-Reference Image Quality Assessment. - Timin Gao; Wensheng Pan; Yan Zhang 109; Sicheng Zhao; Shengchuan Zhang; Xiawu Zheng; Ke Li 015; Liujuan Cao; Rongrong Ji (CoRR, 2024)

VITA: Towards Open-Source Interactive Omni Multimodal LLM. - Chaoyou Fu; Haojia Lin; Zuwei Long; Yunhang Shen; Meng Zhao; Yifan Zhang 004; Xiong Wang; Di Yin; Long Ma; Xiawu Zheng; Ran He 001; Rongrong Ji; et al. (CoRR, 2024)

Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension. - Yongdong Luo; Xiawu Zheng; Xiao Yang; Guilin Li; Haojia Lin; Jinfa Huang; Jiayi Ji; Fei Chao 001; Jiebo Luo 001; Rongrong Ji (CoRR, 2024)

ARLP: Automatic multi-agent transformer reinforcement learning pruner for one-shot neural network pruning. - Bowen Guo; Xiang Chang; Fei Chao 001; Xiawu Zheng; Chih-Min Lin; Yanjie Chen; Changjing Shang; Qiang Shen 001 (Knowl. Based Syst., 2024)

Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization. - Tianshuo Xu; Lijiang Li; Peng Mi; Xiawu Zheng; Fei Chao 001; Rongrong Ji; Yonghong Tian 001; Qiang Shen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Training-Free Transformer Architecture Search With Zero-Cost Proxy Guided Evolution. - Qinqin Zhou 001; Kekai Sheng; Xiawu Zheng; Ke Li 015; Yonghong Tian 001; Jie Chen 001; Rongrong Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation. - Zesen Cheng; Kehan Li 002; Hao Li 073; Peng Jin 001; Xiawu Zheng; Chang Liu; Jie Chen 001 (AAAI, 2025)

Dynamic Clustering Convolutional Neural Network. - Tanzhe Li; Baochang Zhang 001; Jiayi Lyu; Xiawu Zheng; Guodong Guo; Taisong Jin (AAAI, 2025)

Feature Denoising Diffusion Model for Blind Image Quality Assessment. - Xudong Li; Yan Zhang 109; Yunhang Shen; Ke Li 015; Runze Hu; Xiawu Zheng; Sicheng Zhao (AAAI, 2025)

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; et al. (ACL (Findings), 2025)

Automated Fine-Grained Mixture-of-Experts Quantization. - Zhanhao Xie; Yuexiao Ma; Xiawu Zheng; Fei Chao 001; Wanchen Sui; Yong Li; Shen Li; Rongrong Ji (ACL (Findings), 2025)

Learning Transition Patterns by Large Language Models for Sequential Recommendation. - Jianyang Zhai; Zi-Feng Mai; Dongyi Zheng; Chang-Dong Wang 001; Xiawu Zheng; Hui Li 057; Feidiao Yang; Yonghong Tian 001 (COLING, 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; et al. (CVPR, 2025)

Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment. - Xudong Li; Wenjie Nie; Yan Zhang 109; Runze Hu; Ke Li 015; Xiawu Zheng; Liujuan Cao (CVPR, 2025)

Dynamic Low-Rank Sparse Adaptation for Large Language Models. - Weizhong Huang; Yuxin Zhang 002; Xiawu Zheng; Yang Liu 005; 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 002; Xiawu Zheng; Xiaoshuai Sun; Rongrong Ji (ICLR, 2025)

Multimodal Quantitative Language for Generative Recommendation. - Jianyang Zhai; Zi-Feng Mai; Chang-Dong Wang 001; Feidiao Yang; Xiawu Zheng; Hui Li 057; Yonghong Tian 001 (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 001; Rongrong Ji (ICLR, 2025)

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction. - Chaoyou Fu; Haojia Lin; Xiong Wang; Yifan Zhang 004; Yunhang Shen; Xiaoyu Liu; Haoyu Cao 001; Zuwei Long; Heting Gao; Ke Li 015; Long Ma; Xiawu Zheng; et al. (CoRR, 2025)

Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy. - Yunhang Shen; Chaoyou Fu; Shaoqi Dong; Xiong Wang; Yifan Zhang 004; Peixian Chen; Mengdan Zhang; Haoyu Cao 001; Ke Li 015; Xiawu Zheng; Yan Zhang 109; Yiyi Zhou; et al. (CoRR, 2025)

Training-free Anomaly Event Detection via LLM-guided Symbolic Pattern Discovery. - Yuhui Zeng; Haoxiang Wu; Wenjie Nie; Guangyao Chen; Xiawu Zheng; Yunhang Shen; Guilin Li; Yixiong Zou; Yonghong Tian 001; Rongrong Ji (CoRR, 2025)

Towards Efficient Automatic Self-Pruning of Large Language Models. - Weizhong Huang; Yuxin Zhang 002; Xiawu Zheng; Fei Chao 001; Rongrong Ji (CoRR, 2025)

Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective. - Weizhong Huang; Yuxin Zhang 002; Xiawu Zheng; Fei Chao 001; Rongrong Ji (CoRR, 2025)

QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension. - Yongdong Luo; Wang Chen; Xiawu Zheng; Weizhong Huang; Shukang Yin; Haojia Lin; Chaoyou Fu; Jinfa Huang; Jiayi Ji; Jiebo Luo 001; Rongrong Ji (CoRR, 2025)

Adaptive Fuzzy Positive Learning for Annotation-Scarce Semantic Segmentation. - Pengchong Qiao; Yu Wang; Chang Liu 030; Lei Shang; Baigui Sun; Zhennan Wang 001; Xiawu Zheng; Rongrong Ji; Jie Chen 001 (Int. J. Comput. Vis., 2025)

Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs. - Xudong Li; Mengdan Zhang; Peixian Chen; Xiawu Zheng; Yan Zhang 109; Jingyuan Zheng; Yunhang Shen; Ke Li 015; Chaoyou Fu; Xin Sun 003; Rongrong Ji (CoRR, 2025)

Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective. - Qingchuan Ma; Yuhang Wu 004; Xiawu Zheng; Rongrong Ji (CoRR, 2025)

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents. - Xiang Fei; Xiawu Zheng; Hao Feng 009 (CoRR, 2025)

UI-AGILE: Advancing GUI Agents with Effective Reinforcement Learning and Precise Inference-Time Grounding. - Shuquan Lian; Yuhang Wu 004; Jia Ma; Zihan Song 008; Bingqi Chen; Xiawu Zheng; Hui Li 057 (CoRR, 2025)

Training-Free Multimodal Large Language Model Orchestration. - Tianyu Xie 010; Yuhang Wu 004; Yongdong Luo; Jiayi Ji; Xiawu Zheng (CoRR, 2025)

An Information Theory-Inspired Strategy for Automated Network Pruning. - Xiawu Zheng; Yuexiao Ma; Teng Xi; Gang Zhang; Errui Ding; Yuchao Li; Jie Chen 001; Yonghong Tian 001; Rongrong Ji (Int. J. Comput. Vis., 2025)