Learning Efficient Detector with Semi-supervised Adaptive Distillation. - Shitao Tang; Litong Feng; Wenqi Shao; Zhanghui Kuang; Wayne Zhang 001; Zheng Lu (BMVC, 2019)

SSN: Learning Sparse Switchable Normalization via SparsestMax. - Wenqi Shao; Tianjian Meng; Jingyu Li; Ruimao Zhang; Yudian Li; Xiaogang Wang 001; Ping Luo 002 (CVPR, 2019)

Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. - Zhaoyang Zhang 004; Jingyu Li; Wenqi Shao; Zhanglin Peng; Ruimao Zhang; Xiaogang Wang 001; Ping Luo 002 (ICCV, 2019)

Towards Understanding Regularization in Batch Normalization. - Ping Luo 002; Xinjiang Wang; Wenqi Shao; Zhanglin Peng (ICLR (Poster), 2019)

Differentiable Dynamic Normalization for Learning Deep Representation. - Ping Luo 002; Zhanglin Peng; Wenqi Shao; Ruimao Zhang; Jiamin Ren; Lingyun Wu (ICML, 2019)

Learning Efficient Detector with Semi-supervised Adaptive Distillation. - Shitao Tang; Litong Feng; Wenqi Shao; Zhanghui Kuang; Wei Zhang 010; Yimin Chen (CoRR, 2019)

Channel Equilibrium Networks for Learning Deep Representation. - Wenqi Shao; Shitao Tang; Xingang Pan; Ping Tan; Xiaogang Wang 001; Ping Luo 002 (ICML, 2020)

SSN: Learning Sparse Switchable Normalization via SparsestMax. - Wenqi Shao; Jingyu Li; Jiamin Ren; Ruimao Zhang; Xiaogang Wang 001; Ping Luo 002 (Int. J. Comput. Vis., 2020)

What Makes for End-to-End Object Detection? - Peize Sun; Yi Jiang 004; Enze Xie; Wenqi Shao; Zehuan Yuan; Changhu Wang; Ping Luo 002 (ICML, 2021)

Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution. - Zhaoyang Zhang 004; Wenqi Shao; Jinwei Gu; Xiaogang Wang 001; Ping Luo 002 (ICML, 2021)

Rethinking the Pruning Criteria for Convolutional Neural Network. - Zhongzhan Huang; Wenqi Shao; Xinjiang Wang; Liang Lin; Ping Luo 002 (NeurIPS, 2021)

BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening. - Wenqi Shao; Hang Yu; Zhaoyang Zhang 004; Hang Xu 004; Zhenguo Li; Ping Luo 002 (CoRR, 2021)

Dynamic Token Normalization Improves Vision Transformer. - Wenqi Shao; Yixiao Ge; Zhaoyang Zhang 004; Xuyuan Xu; Xiaogang Wang 001; Ying Shan; Ping Luo 002 (CoRR, 2021)

Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space. - Wenqi Shao; Xun Zhao; Yixiao Ge; Zhaoyang Zhang 004; Lei Yang 059; Xiaogang Wang 001; Ying Shan; Ping Luo 002 (ECCV (34), 2022)

Dynamic Token Normalization improves Vision Transformers. - Wenqi Shao; Yixiao Ge; Zhaoyang Zhang 004; Xuyuan Xu; Xiaogang Wang 001; Ying Shan; Ping Luo 002 (ICLR, 2022)

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. - Runjian Chen; Yao Mu 001; Runsen Xu; Wenqi Shao; Chenhan Jiang; Hang Xu 004; Zhenguo Li; Ping Luo 002 (CoRR, 2022)

Real-Time Controllable Denoising for Image and Video. - Zhaoyang Zhang 004; Yitong Jiang; Wenqi Shao; Xiaogang Wang 001; Ping Luo 002; Kaimo Lin; Jinwei Gu (CVPR, 2023)

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. - Mengzhao Chen; Wenqi Shao; Peng Xu; Mingbao Lin; Kaipeng Zhang; Fei Chao 001; Rongrong Ji; Yu Qiao 001; Ping Luo 002 (ICCV, 2023)

Beyond One-to-One: Rethinking the Referring Image Segmentation. - Yutao Hu 002; Qixiong Wang; Wenqi Shao; Enze Xie; Zhenguo Li; Jungong Han; Ping Luo 002 (ICCV, 2023)

CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. - Runjian Chen; Yao Mu 001; Runsen Xu; Wenqi Shao; Chenhan Jiang; Hang Xu 004; Yu Qiao 001; Zhenguo Li; Ping Luo 002 (ICLR, 2023)

Foundation Model is Efficient Multimodal Multitask Model Selector. - Fanqing Meng; Wenqi Shao; Zhanglin Peng; Chonghe Jiang; Kaipeng Zhang; Yu Qiao 001; Ping Luo 002 (NeurIPS, 2023)

Align, Adapt and Inject: Sound-guided Unified Image Generation. - Yue Yang; Kaipeng Zhang; Yuying Ge; Wenqi Shao; Zeyue Xue; Yu Qiao 001; Ping Luo 002 (CoRR, 2023)

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest. - Shilong Zhang; Peize Sun; Shoufa Chen; Min Xiao; Wenqi Shao; Wenwei Zhang; Kai Chen 026; Ping Luo 002 (CoRR, 2023)

Tiny LVLM-eHub: Early Multimodal Experiments with Bard. - Wenqi Shao; Yutao Hu 002; Peng Gao 007; Meng Lei; Kaipeng Zhang; Fanqing Meng; Peng Xu; Siyuan Huang 004; Hongsheng Li 001; Yu Qiao 001; Ping Luo 002 (CoRR, 2023)

ImageBind-LLM: Multi-modality Instruction Tuning. - Jiaming Han; Renrui Zhang; Wenqi Shao; Peng Gao 007; Peng Xu; Han Xiao 010; Kaipeng Zhang; Chris Liu; Song Wen 006; Ziyu Guo; Xudong Lu; Shuai Ren; et al. (CoRR, 2023)

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving. - Xiangchao Yan; Runjian Chen; Bo Zhang 069; Jiakang Yuan; Xinyu Cai; Botian Shi; Wenqi Shao; Junchi Yan; Ping Luo 002; Yu Qiao 001 (CoRR, 2023)

Language-driven Open-Vocabulary Keypoint Detection for Animal Body and Face. - Hao Zhang 117; Kaipeng Zhang; Lumin Xu; Shenqi Lai; Wenqi Shao; Nanning Zheng 001; Ping Luo 002; Yu Qiao 001 (CoRR, 2023)

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models. - Ziyi Lin; Chris Liu; Renrui Zhang; Peng Gao 007; Longtian Qiu; Han Xiao 010; Han Qiu 010; Chen Lin; Wenqi Shao; Keqin Chen; Jiaming Han; Siyuan Huang 004; et al. (CoRR, 2023)

DiffusionMat: Alpha Matting as Sequential Refinement Learning. - Yangyang Xu; Shengfeng He; Wenqi Shao; Kwan-Yee K. Wong; Yu Qiao 001; Ping Luo 002 (CoRR, 2023)

MLLMs-Augmented Visual-Language Representation Learning. - Yanqing Liu; Kai Wang 036; Wenqi Shao; Ping Luo 002; Yu Qiao 001; Mike Zheng Shou; Kaipeng Zhang; Yang You 001 (CoRR, 2023)

Cached Transformers: Improving Transformers with Differentiable Memory Cache. - Zhaoyang Zhang 004; Wenqi Shao; Yixiao Ge; Xiaogang Wang 001; Jinwei Gu; Ping Luo 002 (CoRR, 2023)

Cached Transformers: Improving Transformers with Differentiable Memory Cachde. - Zhaoyang Zhang 004; Wenqi Shao; Yixiao Ge; Xiaogang Wang 001; Jinwei Gu; Ping Luo 002 (AAAI, 2024)

ChartAssistant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning. - Fanqing Meng; Wenqi Shao; Quanfeng Lu; Peng Gao 007; Kaipeng Zhang; Yu Qiao 001; Ping Luo 002 (ACL (Findings), 2024)

OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM. - Yutao Hu 002; Tianbin Li; Quanfeng Lu; Wenqi Shao; Junjun He; Yu Qiao 001; Ping Luo 002 (CVPR, 2024)

DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model. - Lirui Zhao; Yue Yang; Kaipeng Zhang; Wenqi Shao; Yuxin Zhang 002; Yu Qiao 001; Ping Luo 002; Rongrong Ji (CVPR, 2024)

SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models. - Ziyi Lin; Dongyang Liu; Renrui Zhang; Peng Gao 007; Longtian Qiu; Han Xiao 010; Han Qiu 010; Wenqi Shao; Keqin Chen; Jiaming Han; Siyuan Huang 004; Yichi Zhang; et al. (ECCV (62), 2024)

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest. - Shilong Zhang; Peize Sun; Shoufa Chen; Min Xiao; Wenqi Shao; Wenwei Zhang; Yu Liu 015; Kai Chen 026; Ping Luo 002 (ECCV Workshops (8), 2024)

Align, Adapt and Inject: Audio-Guided Image Generation, Editing and Stylization. - Yue Yang; Kaipeng Zhang; Yuying Ge; Wenqi Shao; Zeyue Xue; Yu Qiao 001; Ping Luo 002 (ICASSP, 2024)

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models. - Mengkang Hu; Yao Mu 001; Xinmiao Yu; Mingyu Ding; Shiguang Wu 004; Wenqi Shao; Qiguang Chen; Bin Wang 034; Yu Qiao 001; Ping Luo 002 (ICLR, 2024)

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. - Wenqi Shao; Mengzhao Chen; Zhaoyang Zhang 004; Peng Xu; Lirui Zhao; Zhiqian Li; Kaipeng Zhang; Peng Gao 007; Yu Qiao 001; Ping Luo 002 (ICLR, 2024)

BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. - Peng Xu; Wenqi Shao; Mengzhao Chen; Shitao Tang; Kaipeng Zhang; Peng Gao 007; Fengwei An; Yu Qiao 001; Ping Luo 002 (ICLR, 2024)

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. - Yao Mu 001; Junting Chen; Qinglong Zhang; Shoufa Chen; Qiaojun Yu; Chongjian Ge; Runjian Chen; Zhixuan Liang; Mengkang Hu; Chaofan Tao; Peize Sun; Haibao Yu; et al. (ICML, 2024)

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. - Dongyang Liu; Renrui Zhang; Longtian Qiu; Siyuan Huang 004; Weifeng Lin; Shitian Zhao; Shijie Geng; Ziyi Lin; Peng Jin; Kaipeng Zhang; Wenqi Shao; Chao Xu; et al. (ICML, 2024)

Position: Towards Implicit Prompt For Text-To-Image Models. - Yue Yang; Yuqi Lin; Hong Liu; Wenqi Shao; Runjian Chen; Hailong Shang; Yu Wang 002; Yu Qiao 001; Kaipeng Zhang; Ping Luo 002 (ICML, 2024)

MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI. - Kaining Ying; Fanqing Meng; Jin Wang; Zhiqian Li; Han Lin; Yue Yang; Hao Zhang 117; Wenbo Zhang 009; Yuqi Lin; Shuo Liu; Jiayi Lei; Quanfeng Lu; et al. (ICML, 2024)

SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge. - Chuanhao Li 001; Zhen Li 026; Chenchen Jing; Shuo Liu; Wenqi Shao; Yuwei Wu 001; Ping Luo 002; Yu Qiao 001; Kaipeng Zhang (NeurIPS, 2024)

ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models. - Shuo Liu; Kaining Ying; Hao Zhang 117; Yue Yang; Yuqi Lin; Tianle Zhang; Chuanhao Li 001; Yu Qiao 001; Ping Luo 002; Wenqi Shao; Kaipeng Zhang (NeurIPS, 2024)

Needle In A Multimodal Haystack. - Weiyun Wang; Shuibo Zhang; Yiming Ren; Yuchen Duan; Tiantong Li; Shuo Liu; Mengkang Hu; Zhe Chen 017; Kaipeng Zhang; Lewei Lu; Xizhou Zhu; Ping Luo 002; et al. (NeurIPS, 2024)

Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality. - Tianle Zhang; Langtian Ma; Yuchen Yan; Yuchen Zhang; Yue Yang; Ziyao Guo; Wenqi Shao; Kai Wang 036; Yang You 001; Yu Qiao 001; Ping Luo 002; Kaipeng Zhang (NeurIPS, 2024)

ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning. - Fanqing Meng; Wenqi Shao; Quanfeng Lu; Peng Gao 007; Kaipeng Zhang; Yu Qiao 001; Ping Luo 002 (CoRR, 2024)

Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching. - Tianle Zhang; Yuchen Zhang; Kun Wang 056; Kai Wang 036; Beining Yang; Kaipeng Zhang; Wenqi Shao; Ping Liu 004; Joey Tianyi Zhou; Yang You 001 (CoRR, 2024)

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. - Peng Gao 007; Renrui Zhang; Chris Liu; Longtian Qiu; Siyuan Huang 004; Weifeng Lin; Shitian Zhao; Shijie Geng; Ziyi Lin; Peng Jin; Kaipeng Zhang; Wenqi Shao; et al. (CoRR, 2024)

RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation. - Junting Chen; Yao Mu 001; Qiaojun Yu; Tianming Wei; Silang Wu; Zhecheng Yuan; Zhixuan Liang; Chao Yang 026; Kaipeng Zhang; Wenqi Shao; Yu Qiao 001; Huazhe Xu; et al. (CoRR, 2024)

Towards Implicit Prompt For Text-To-Image Models. - Yue Yang; Yuqi Lin; Hong Liu; Wenqi Shao; Runjian Chen; Hailong Shang; Yu Wang 002; Yu Qiao 001; Kaipeng Zhang; Ping Luo 002 (CoRR, 2024)

AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Adversarial Visual-Instructions. - Hao Zhang 117; Wenqi Shao; Hong Liu; Yongqiang Ma; Ping Luo 002; Yu Qiao 001; Kaipeng Zhang (CoRR, 2024)

ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models. - Shuo Liu; Kaining Ying; Hao Zhang 117; Yue Yang; Yuqi Lin; Tianle Zhang; Chuanhao Li 001; Yu Qiao 001; Ping Luo 002; Wenqi Shao; Kaipeng Zhang (CoRR, 2024)

Adapting LLaMA Decoder to Vision Transformer. - Jiahao Wang; Wenqi Shao; Mengzhao Chen; Chengyue Wu; Yong Liu 033; Kaipeng Zhang; Songyang Zhang; Kai Chen 026; Ping Luo 002 (CoRR, 2024)

Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers. - Peng Gao 007; Le Zhuo; Dongyang Liu; Ruoyi Du; Xu Luo; Longtian Qiu; Yuhang Zhang; Chen Lin; Rongjie Huang 001; Shijie Geng; Renrui Zhang; Junlin Xi; et al. (CoRR, 2024)

UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge. - Chuanhao Li 001; Zhen Li 026; Chenchen Jing; Shuo Liu; Wenqi Shao; Yuwei Wu 001; Ping Luo 002; Yu Qiao 001; Kaipeng Zhang (CoRR, 2024)

GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices. - Quanfeng Lu; Wenqi Shao; Zitao Liu; Fanqing Meng; Boxuan Li; Botong Chen; Siyuan Huang 004; Kaipeng Zhang; Yu Qiao 001; Ping Luo 002 (CoRR, 2024)

PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models. - Fanqing Meng; Wenqi Shao; Lixin Luo; Yahong Wang; Yiran Chen 013; Quanfeng Lu; Yue Yang; Tianshuo Yang; Kaipeng Zhang; Yu Qiao 001; Ping Luo 002 (CoRR, 2024)

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. - Mengzhao Chen; Wenqi Shao; Peng Xu; Jiahao Wang; Peng Gao 007; Kaipeng Zhang; Yu Qiao 001; Ping Luo 002 (CoRR, 2024)

Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model. - Lirui Zhao; Tianshuo Yang; Wenqi Shao; Yuxin Zhang 002; Yu Qiao 001; Ping Luo 002; Kaipeng Zhang; Rongrong Ji (CoRR, 2024)

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models. - Fanqing Meng; Jin Wang; Chuanhao Li 001; Quanfeng Lu; Hao Tian 006; Jiaqi Liao; Xizhou Zhu; Jifeng Dai; Yu Qiao 001; Ping Luo 002; Kaipeng Zhang; Wenqi Shao (CoRR, 2024)

Task-Oriented Diffusion Inversion for High-Fidelity Text-based Editing. - Yangyang Xu; Wenqi Shao; Yong Du 003; Haiming Zhu; Yang Zhou 007; Ping Luo 002; Shengfeng He (CoRR, 2024)

HRVMamba: High-Resolution Visual State Space Model for Dense Prediction. - Hao Zhang 117; Yongqiang Ma; Wenqi Shao; Ping Luo 002; Nanning Zheng 001; Kaipeng Zhang (CoRR, 2024)

PrefixQuant: Static Quantization Beats Dynamic through Prefixed Outliers in LLMs. - Mengzhao Chen; Yi Liu 081; Jiahao Wang; Yi Bin; Wenqi Shao; Ping Luo 002 (CoRR, 2024)

Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation. - Fanqing Meng; Jiaqi Liao; Xinyu Tan; Wenqi Shao; Quanfeng Lu; Kaipeng Zhang; Yu Cheng 001; Dianqi Li; Yu Qiao 001; Ping Luo 002 (CoRR, 2024)

DCP: Learning Accelerator Dataflow for Neural Network via Propagation. - Peng Xu; Wenqi Shao; Mingyu Ding; Ping Luo 002 (CoRR, 2024)

ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification and KV Cache Compression. - Yefei He; Feng Chen; Jing Liu; Wenqi Shao; Hong Zhou; Kaipeng Zhang; Bohan Zhuang (CoRR, 2024)

Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping. - Yue Yang; Shuibai Zhang; Wenqi Shao; Kaipeng Zhang; Yi Bin; Yu Wang 002; Ping Luo 002 (CoRR, 2024)

TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts. - Yuxuan Xie; Tianhua Li; Wenqi Shao; Kaipeng Zhang (CoRR, 2024)

EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents. - Junting Chen; Checheng Yu; Xunzhe Zhou; Tianqi Xu; Yao Mu 001; Mengkang Hu; Wenqi Shao; Yikai Wang; Guohao Li 013; Lin Shao 002 (CoRR, 2024)

GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation. - Pengfei Zhou; Xiaopeng Peng 001; Jiajun Song; Chuanhao Li 001; Zhaopan Xu; Yue Yang; Ziyao Guo; Hao Zhang 117; Yuqi Lin; Yefei He; Lirui Zhao; Shuo Liu; et al. (CoRR, 2024)

DexDiffuser: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation. - Zhixuan Liang; Yao Mu 001; Yixiao Wang; Fei Ni 001; Tianxing Chen; Wenqi Shao; Wei Zhan; Masayoshi Tomizuka; Ping Luo 002; Mingyu Ding (CoRR, 2024)

TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception. - Runjian Chen; Hyoungseob Park; Bo Zhang 069; Wenqi Shao; Ping Luo 002; Alex Wong 001 (CoRR, 2024)

CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning. - Runjian Chen; Hang Zhang; Avinash Ravichandran; Wenqi Shao; Alex Wong 001; Ping Luo 002 (CoRR, 2024)

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling. - Zhe Chen 017; Weiyun Wang; Yue Cao; Yangzhou Liu; Zhangwei Gao; Erfei Cui; Jinguo Zhu; Shenglong Ye; Hao Tian 006; Zhaoyang Liu 001; Lixin Gu; Xuehui Wang; et al. (CoRR, 2024)

Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM. - Yatai Ji; Jiacheng Zhang; Jie Wu 001; Shilong Zhang; Shoufa Chen; Chongjian Ge; Peize Sun; Weifeng Chen; Wenqi Shao; Xuefeng Xiao 001; Weilin Huang; Ping Luo 002 (CoRR, 2024)

Open-Vocabulary Animal Keypoint Detection with Semantic-Feature Matching. - Hao Zhang 117; Lumin Xu; Shenqi Lai; Wenqi Shao; Nanning Zheng 001; Ping Luo 002; Yu Qiao 001; Kaipeng Zhang (Int. J. Comput. Vis., 2024)

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. - Mengzhao Chen; Wenqi Shao; Peng Xu; Jiahao Wang; Peng Gao 007; Kaipeng Zhang; Ping Luo 002 (ACL (1), 2025)

HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model. - Mengkang Hu; Tianxing Chen; Qiguang Chen; Yao Mu 001; Wenqi Shao; Ping Luo 002 (ACL (1), 2025)

Text2World: Benchmarking Large Language Models for Symbolic World Model Generation. - Mengkang Hu; Tianxing Chen; Yude Zou; Yuheng Lei; Qiguang Chen; Ming Li; Yao Mu 001; Hongyuan Zhang 001; Wenqi Shao; Ping Luo 002 (ACL (Findings), 2025)

MPBench: A Comprehensive Multimodal Reasoning Benchmark for Process Errors Identification. - Xu Zhao Pan; Pengfei Zhou; Jiaxin Ai; Wangbo Zhao; Kai Wang 036; Xiaojiang Peng; Wenqi Shao; Hongxun Yao; Kaipeng Zhang (ACL (Findings), 2025)

JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data. - Runjian Chen; Wenqi Shao; Bo Zhang 069; Shaoshuai Shi; Li Jiang; Ping Luo 002 (CVPR, 2025)

Distilling Monocular Foundation Model for Fine-grained Depth Completion. - Yingping Liang; Yutao Hu; Wenqi Shao; Ying Fu (CVPR, 2025)

DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation. - Zhixuan Liang; Yao Mu 001; Yixiao Wang; Tianxing Chen; Wenqi Shao; Wei Zhan; Masayoshi Tomizuka; Ping Luo 002; Mingyu Ding (CVPR, 2025)

Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models. - Jin Wang 039; Chenghui Lv; Xian Li; Shichao Dong 001; Huadong Li; Kelu Yao; Chao Li 028; Wenqi Shao; Ping Luo (CVPR, 2025)

OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation. - Pengfei Zhou; Xiaopeng Peng 001; Jiajun Song; Chuanhao Li 001; Zhaopan Xu; Yue Yang; Ziyao Guo; Hao Zhang 117; Yuqi Lin; Yefei He; Lirui Zhao; Shuo Liu; et al. (CVPR, 2025)

EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents. - Junting Chen; Checheng Yu; Xunzhe Zhou; Tianqi Xu; Yao Mu 001; Mengkang Hu; Wenqi Shao; Yikai Wang; Guohao Li 013; Lin Shao 002 (ICLR, 2025)

Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation. - Peng Gao 007; Le Zhuo; Dongyang Liu; Ruoyi Du; Xu Luo; Longtian Qiu; Yuhang Zhang; Rongjie Huang 001; Shijie Geng; Renrui Zhang; Junlin Xie; Wenqi Shao; et al. (ICLR, 2025)

SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement. - Yuqi Lin; Hengjia Li; Wenqi Shao; Zheng Yang 008; Jun Zhao 009; Xiaofei He 001; Ping Luo 002; Kaipeng Zhang (ICLR, 2025)

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models. - Fanqing Meng; Jin Wang; Chuanhao Li 001; Quanfeng Lu; Hao Tian 006; Tianshuo Yang; Jiaqi Liao; Xizhou Zhu; Jifeng Dai; Yu Qiao 001; Ping Luo 002; Kaipeng Zhang; et al. (ICLR, 2025)

Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping. - Yue Yang; Shuibo Zhang; Kaipeng Zhang; Yi Bin; Yu Wang 002; Ping Luo 002; Wenqi Shao (ICLR, 2025)

B-AVIBench: Toward Evaluating the Robustness of Large Vision-Language Model on Black-Box Adversarial Visual-Instructions. - Hao Zhang 117; Wenqi Shao; Hong Liu; Yongqiang Ma; Ping Luo 002; Yu Qiao 001; Nanning Zheng 001; Kaipeng Zhang (IEEE Trans. Inf. Forensics Secur., 2025)

LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation. - Jiahao Wang; Ning Kang 001; Lewei Yao; Mengzhao Chen; Chengyue Wu; Songyang Zhang; Shuchen Xue; Yong Liu 033; Taiqiang Wu; Xihui Liu; Kaipeng Zhang; Shifeng Zhang; et al. (CoRR, 2025)

Enhance-A-Video: Better Generated Video for Free. - Yang Luo; Xuanlei Zhao; Mengzhao Chen; Kaipeng Zhang; Wenqi Shao; Kai Wang 036; Zhangyang Wang; Yang You 001 (CoRR, 2025)

Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation. - Ziliang Miao; Runjian Chen; Yixi Cai; Buwei He; Wenquan Zhao; Wenqi Shao; Bo Zhang 069; Fu Zhang 002 (CoRR, 2025)

MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning. - Fanqing Meng; Lingxiao Du; Zongkai Liu; Zhixiang Zhou; Quanfeng Lu; Daocheng Fu; Botian Shi; Wenhai Wang; Junjun He; Kaipeng Zhang; Ping Luo 002; Yu Qiao 001; et al. (CoRR, 2025)

FCaS: Fine-grained Cardiac Image Synthesis based on 3D Template Conditional Diffusion Model. - Jiahao Xia 005; Yutao Hu; Yaolei Qi; Zhenliang Li; Wenqi Shao; Junjun He; Ying Fu; Longjiang Zhang; Guanyu Yang (CoRR, 2025)

Car-1000: A New Large Scale Fine-Grained Visual Categorization Dataset. - Yutao Hu 002; Sen Li; Jincheng Yan; Wenqi Shao; Xiaoyan Luo (CoRR, 2025)

MPBench: A Comprehensive Multimodal Reasoning Benchmark for Process Errors Identification. - Zhaopan Xu; Pengfei Zhou; Jiaxin Ai; Wangbo Zhao; Kai Wang 036; Xiaojiang Peng; Wenqi Shao; Hongxun Yao; Kaipeng Zhang (CoRR, 2025)

PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models. - Zhaopan Xu; Pengfei Zhou; Weidong Tang; Jiaxin Ai; Wangbo Zhao; Xiaojiang Peng; Kai Wang 036; Yang You 001; Wenqi Shao; Hongxun Yao; Kaipeng Zhang (CoRR, 2025)

LVLM-EHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models. - Peng Xu; Wenqi Shao; Kaipeng Zhang; Peng Gao 007; Shuo Liu; Meng Lei; Fanqing Meng; Siyuan Huang 004; Yu Qiao 001; Ping Luo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning. - Yanzhou Su; Tianbin Li; Jiyao Liu; Chenglong Ma; Junzhi Ning; Cheng Tang; Sibo Ju; Jin Ye 002; Pengcheng Chen; Ming Hu; Shixiang Tang; Lihao Liu; et al. (CoRR, 2025)

MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models. - Pengfei Zhou; Fanrui Zhang; Xiaopeng Peng 001; Zhaopan Xu; Jiaxin Ai; Yansheng Qiu; Chuanhao Li 001; Zhen Li 026; Ming Li; Yukang Feng; Jianwen Sun; Haoquan Zhang; et al. (CoRR, 2025)

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models. - Jinguo Zhu; Weiyun Wang; Zhe Chen 017; Zhaoyang Liu 001; Shenglong Ye; Lixin Gu; Hao Tian 006; Yuchen Duan; Weijie Su 002; Jie Shao; Zhangwei Gao; Erfei Cui; et al. (CoRR, 2025)

CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models. - Zongkai Liu; Fanqing Meng; Lingxiao Du; Zhixiang Zhou; Chao Yu; Wenqi Shao; Qiaosheng Zhang (CoRR, 2025)

MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision. - Lingxiao Du; Fanqing Meng; Zongkai Liu; Zhixiang Zhou; Ping Luo 002; Qiaosheng Zhang; Wenqi Shao (CoRR, 2025)

Truly Assessing Fluid Intelligence of Large Language Models through Dynamic Reasoning Evaluation. - Yue Yang; MingKang Chen; Qihua Liu; Mengkang Hu; Qiguang Chen; Gengrui Zhang; Shuyue Hu; Guangtao Zhai; Yu Qiao 001; Yu Wang 002; Wenqi Shao; Ping Luo 002 (CoRR, 2025)

OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis. - Junting Chen; Haotian Liang; Lingxiao Du; Weiyun Wang; Mengkang Hu; Yao Mu 001; Wenhai Wang; Jifeng Dai; Ping Luo 002; Wenqi Shao; Lin Shao 002 (CoRR, 2025)

Flow-Anything: Learning Real-World Optical Flow Estimation from Large-Scale Single-view Images. - Yingping Liang; Ying Fu 001; Yutao Hu; Wenqi Shao; Jiaming Liu; Debing Zhang (CoRR, 2025)

UniFork: Exploring Modality Alignment for Unified Multimodal Understanding and Generation. - Teng Li; Quanfeng Lu; Lirui Zhao; Hao Li; Xizhou Zhu; Yu Qiao 001; Jun Zhang; Wenqi Shao (CoRR, 2025)

InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models. - Nianchen Deng; Lixin Gu; Shenglong Ye; Yinan He; Zhe Chen 017; Songze Li; Haomin Wang 002; Xingguang Wei; Tianshuo Yang; Min Dou; Tong He 001; Wenqi Shao; et al. (CoRR, 2025)

TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models. - Wenqi Shao; Meng Lei; Yutao Hu 002; Peng Gao 007; Peng Xu; Kaipeng Zhang; Fanqing Meng; Siyuan Huang 004; Hongsheng Li 001; Yu Qiao 001; Ping Luo 002 (IEEE Trans. Big Data, 2025)

Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space. - Yingping Liang; Yutao Hu; Wenqi Shao; Ying Fu 001 (CoRR, 2025)

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. - Yicheng Bao; Guanxu Chen; Mingkang Chen; Yunhao Chen; Chiyu Chen; Lingjie Chen; Sirui Chen; Xinquan Chen; Jie Cheng; Yu Cheng 001; Dengke Deng; Yizhuo Ding; et al. (CoRR, 2025)

Cross-Subject Mind Decoding from Inaccurate Representations. - Yangyang Xu; Bangzhen Liu; Wenqi Shao; Yong Du 003; Shengfeng He; Tingting Zhu (CoRR, 2025)

Cardiac-CLIP: A Vision-Language Foundation Model for 3D Cardiac CT Images. - Yutao Hu; Ying Zheng; Shumei Miao; Xiaolei Zhang; Jiahao Xia 005; Yaolei Qi; Yiyang Zhang; Yuting He; Qian Chen; Jing Ye; Hongyan Qiao; Xiuhua Hu; et al. (CoRR, 2025)

MDK12-Bench: A Comprehensive Evaluation of Multimodal Large Language Models on Multidisciplinary Exams. - Pengfei Zhou; Xiaopeng Peng 001; Fanrui Zhang; Zhaopan Xu; Jiaxin Ai; Yansheng Qiu; Chuanhao Li 001; Zhen Li 026; Ming Li; Yukang Feng; Jianwen Sun; Haoquan Zhang; et al. (CoRR, 2025)

From Diagnosis to Improvement: Probing Spatio-Physical Reasoning in Vision Language Models. - Tiancheng Han; Yunfei Gao; Yong Li; Wuzhou Yu; Qiaosheng Zhang; Wenqi Shao (CoRR, 2025)