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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

HiAgent: Hierarchical Working Memory Management for Solving Long-Horizon Agent Tasks with Large Language Model. - Hu, Mengkang; Chen, Tianxing; Chen, Qiguang; Mu, Yao; Shao, Wenqi; Luo, Ping (CoRR, 2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models. - Xu, Peng; Shao, Wenqi; Zhang, Kaipeng; Gao, Peng; Liu, Shuo; Lei, Meng; Meng, Fanqing; Huang, Siyuan; Qiao, Yu; Luo, Ping (CoRR, 2023)

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

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

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

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

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. - Shao, Wenqi; Chen, Mengzhao; Zhang, Zhaoyang; Xu, Peng; Zhao, Lirui; Li, Zhiqian; Zhang, Kaipeng; Gao, Peng; Qiao, Yu; Luo, Ping (CoRR, 2023)

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

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

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

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

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models. - Hu, Mengkang; Mu, Yao; Yu, Xinmiao; Ding, Mingyu; Wu, Shiguang; Shao, Wenqi; Chen, Qiguang; Wang, Bin; Qiao, Yu; Luo, Ping (CoRR, 2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Towards Understanding Regularization in Batch Normalization. - Luo, Ping; Wang, Xinjiang; Shao, Wenqi; Peng, Zhanglin (CoRR, 2018)