Wenqi Shao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 71

Top Topics

Comprehensive Evaluation

Image Generation

Convolutional Neural Networks

Top Venues

Publications

Zhaoyang Zhang, Wenqi Shao, Yixiao Ge, Xiaogang Wang, Jinwei Gu, Ping Luo
Cached Transformers: Improving Transformers with Differentiable Memory Cachde. AAAI (2024)
Hao Zhang, Wenqi Shao, Hong Liu, Yongqiang Ma, Ping Luo, Yu Qiao, Kaipeng Zhang
AVIBench: Towards Evaluating the Robustness of Large Vision-Language Model on Adversarial Visual-Instructions. CoRR (2024)
Tianle Zhang, Yuchen Zhang, Kun Wang, Kai Wang, Beining Yang, Kaipeng Zhang, Wenqi Shao, Ping Liu, Joey Tianyi Zhou, Yang You
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching. CoRR (2024)
Tianle Zhang, Langtian Ma, Yuchen Yan, Yuchen Zhang, Kai Wang, Yue Yang, Ziyao Guo, Wenqi Shao, Yang You, Yu Qiao, Ping Luo, Kaipeng Zhang
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality. CoRR (2024)
Weiyun Wang, Shuibo Zhang, Yiming Ren, Yuchen Duan, Tiantong Li, Shuo Liu, Mengkang Hu, Zhe Chen, Kaipeng Zhang, Lewei Lu, Xizhou Zhu, Ping Luo, Yu Qiao, Jifeng Dai, Wenqi Shao, Wenhai Wang
Needle In A Multimodal Haystack. CoRR (2024)
Yue Yang, Yuqi lin, Hong Liu, Wenqi Shao, Runjian Chen, Hailong Shang, Yu Wang, Yu Qiao, Kaipeng Zhang, Ping Luo
Towards Implicit Prompt For Text-To-Image Models. CoRR (2024)
Peng Gao, Le Zhuo, Dongyang Liu, Ruoyi Du, Xu Luo, Longtian Qiu, Yuhang Zhang, Chen Lin, Rongjie Huang, Shijie Geng, Renrui Zhang, Junlin Xi, Wenqi Shao, Zhengkai Jiang, Tianshuo Yang, Weicai Ye, He Tong, Jingwen He, Yu Qiao, Hongsheng Li
Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers. CoRR (2024)
Lirui Zhao, Yue Yang, Kaipeng Zhang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Rongrong Ji
DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model. CoRR (2024)
Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang
UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge. CoRR (2024)
Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, Silang Wu, Zhecheng Yuan, Zhixuan Liang, Chao Yang, Kaipeng Zhang, Wenqi Shao, Yu Qiao, Huazhe Xu, Mingyu Ding, Ping Luo
RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation. CoRR (2024)
Peng Gao, Renrui Zhang, Chris Liu, Longtian Qiu, Siyuan Huang, Weifeng Lin, Shitian Zhao, Shijie Geng, Ziyi Lin, Peng Jin, Kaipeng Zhang, Wenqi Shao, Chao Xu, Conghui He, Junjun He, Hao Shao, Pan Lu, Hongsheng Li, Yu Qiao
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models. CoRR (2024)
Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models. ICLR (2024)
Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, Jiayi Lei, Quanfeng Lu, Runjian Chen, Peng Xu, Renrui Zhang, Haozhe Zhang, Peng Gao, Yali Wang, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI. CoRR (2024)
Jiahao Wang, Wenqi Shao, Mengzhao Chen, Chengyue Wu, Yong Liu, Kaipeng Zhang, Songyang Zhang, Kai Chen, Ping Luo
Adapting LLaMA Decoder to Vision Transformer. CoRR (2024)
Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. CoRR (2024)
Fanqing Meng, Wenqi Shao, Quanfeng Lu, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo
ChartAssistant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning. ACL (Findings) (2024)
Quanfeng Lu, Wenqi Shao, Zitao Liu, Fanqing Meng, Boxuan Li, Botong Chen, Siyuan Huang, Kaipeng Zhang, Yu Qiao, Ping Luo
GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices. CoRR (2024)
Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. ICLR (2024)
Fanqing Meng, Wenqi Shao, Quanfeng Lu, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo
ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning. CoRR (2024)
Mengzhao Chen, Wenqi Shao, Peng Xu, Jiahao Wang, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models. CoRR (2024)
Fanqing Meng, Wenqi Shao, Lixin Luo, Yahong Wang, Yiran Chen, Quanfeng Lu, Yue Yang, Tianshuo Yang, Kaipeng Zhang, Yu Qiao, Ping Luo
PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models. CoRR (2024)
Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo
Align, Adapt and Inject: Audio-Guided Image Generation, Editing and Stylization. ICASSP (2024)
Peng Xu, Wenqi Shao, Mengzhao Chen, Shitao Tang, Kaipeng Zhang, Peng Gao, Fengwei An, Yu Qiao, Ping Luo
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation. CoRR (2024)
Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. ICLR (2024)
Shuo Liu, Kaining Ying, Hao Zhang, Yue Yang, Yuqi Lin, Tianle Zhang, Chuanhao Li, Yu Qiao, Ping Luo, Wenqi Shao, Kaipeng Zhang
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Capability for Large Vision-Language Models. CoRR (2024)
Yutao Hu, Tianbin Li, Quanfeng Lu, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM. CoRR (2024)
Lirui Zhao, Tianshuo Yang, Wenqi Shao, Yuxin Zhang, Yu Qiao, Ping Luo, Kaipeng Zhang, Rongrong Ji
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model. CoRR (2024)
Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. CoRR (2023)
Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo
Beyond One-to-One: Rethinking the Referring Image Segmentation. ICCV (2023)
Wenqi Shao, Yutao Hu, Peng Gao, Meng Lei, Kaipeng Zhang, Fanqing Meng, Peng Xu, Siyuan Huang, Hongsheng Li, Yu Qiao, Ping Luo
Tiny LVLM-eHub: Early Multimodal Experiments with Bard. CoRR (2023)
Peng Xu, Wenqi Shao, Kaipeng Zhang, Peng Gao, Shuo Liu, Meng Lei, Fanqing Meng, Siyuan Huang, Yu Qiao, Ping Luo
LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models. CoRR (2023)
Jiaming Han, Renrui Zhang, Wenqi Shao, Peng Gao, Peng Xu, Han Xiao, Kaipeng Zhang, Chris Liu, Song Wen, Ziyu Guo, Xudong Lu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Xiangyu Yue, Hongsheng Li, Yu Qiao
ImageBind-LLM: Multi-modality Instruction Tuning. CoRR (2023)
Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models. CoRR (2023)
Yanqing Liu, Kai Wang, Wenqi Shao, Ping Luo, Yu Qiao, Mike Zheng Shou, Kaipeng Zhang, Yang You
MLLMs-Augmented Visual-Language Representation Learning. CoRR (2023)
Ziyi Lin, Chris Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Chen Lin, Wenqi Shao, Keqin Chen, Jiaming Han, Siyuan Huang, Yichi Zhang, Xuming He, Hongsheng Li, Yu Qiao
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models. CoRR (2023)
Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. ICCV (2023)
Xiangchao Yan, Runjian Chen, Bo Zhang, Jiakang Yuan, Xinyu Cai, Botian Shi, Wenqi Shao, Junchi Yan, Ping Luo, Yu Qiao
SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving. CoRR (2023)
Hao Zhang, Kaipeng Zhang, Lumin Xu, Shenqi Lai, Wenqi Shao, Nanning Zheng, Ping Luo, Yu Qiao
Language-driven Open-Vocabulary Keypoint Detection for Animal Body and Face. CoRR (2023)
Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo
DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. CoRR (2023)
Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. ICLR (2023)
Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo
Foundation Model is Efficient Multimodal Multitask Model Selector. CoRR (2023)
Yangyang Xu, Shengfeng He, Wenqi Shao, Kwan-Yee K. Wong, Yu Qiao, Ping Luo
DiffusionMat: Alpha Matting as Sequential Refinement Learning. CoRR (2023)
Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo
Foundation Model is Efficient Multimodal Multitask Model Selector. NeurIPS (2023)
Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo
Beyond One-to-One: Rethinking the Referring Image Segmentation. CoRR (2023)
Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo
Align, Adapt and Inject: Sound-guided Unified Image Generation. CoRR (2023)
Shilong Zhang, Peize Sun, Shoufa Chen, Min Xiao, Wenqi Shao, Wenwei Zhang, Kai Chen, Ping Luo
GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest. CoRR (2023)
Zhaoyang Zhang, Yitong Jiang, Wenqi Shao, Xiaogang Wang, Ping Luo, Kaimo Lin, Jinwei Gu
Real-Time Controllable Denoising for Image and Video. CVPR (2023)
Zhaoyang Zhang, Yitong Jiang, Wenqi Shao, Xiaogang Wang, Ping Luo, Kaimo Lin, Jinwei Gu
Real-time Controllable Denoising for Image and Video. CoRR (2023)
Zhaoyang Zhang, Wenqi Shao, Yixiao Ge, Xiaogang Wang, Jinwei Gu, Ping Luo
Cached Transformers: Improving Transformers with Differentiable Memory Cache. CoRR (2023)
Wenqi Shao, Xun Zhao, Yixiao Ge, Zhaoyang Zhang, Lei Yang, Xiaogang Wang, Ying Shan, Ping Luo
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space. CoRR (2022)
Wenqi Shao, Xun Zhao, Yixiao Ge, Zhaoyang Zhang, Lei Yang, Xiaogang Wang, Ying Shan, Ping Luo
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space. ECCV (34) (2022)
Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo
Dynamic Token Normalization improves Vision Transformers. ICLR (2022)
Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Zhenguo Li, Ping Luo
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. CoRR (2022)
Wenqi Shao, Hang Yu, Zhaoyang Zhang, Hang Xu, Zhenguo Li, Ping Luo
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening. CoRR (2021)
Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, Ping Luo
What Makes for End-to-End Object Detection? ICML (2021)
Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo
Rethinking the Pruning Criteria for Convolutional Neural Network. NeurIPS (2021)
Zhaoyang Zhang, Wenqi Shao, Jinwei Gu, Xiaogang Wang, Ping Luo
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution. ICML (2021)
Zhaoyang Zhang, Wenqi Shao, Jinwei Gu, Xiaogang Wang, Ping Luo
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution. CoRR (2021)
Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo
Dynamic Token Normalization Improves Vision Transformer. CoRR (2021)
Wenqi Shao, Jingyu Li, Jiamin Ren, Ruimao Zhang, Xiaogang Wang, Ping Luo
SSN: Learning Sparse Switchable Normalization via SparsestMax. Int. J. Comput. Vis. 128 (8) (2020)
Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo
Channel Equilibrium Networks for Learning Deep Representation. ICML (2020)
Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo
Channel Equilibrium Networks for Learning Deep Representation. CoRR (2020)
Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wayne Zhang, Zheng Lu
Learning Efficient Detector with Semi-supervised Adaptive Distillation. BMVC (2019)
Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo
SSN: Learning Sparse Switchable Normalization via SparsestMax. CoRR (2019)
Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng
Towards Understanding Regularization in Batch Normalization. ICLR (Poster) (2019)
Ping Luo, Zhanglin Peng, Wenqi Shao, Ruimao Zhang, Jiamin Ren, Lingyun Wu
Differentiable Dynamic Normalization for Learning Deep Representation. ICML (2019)
Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo
SSN: Learning Sparse Switchable Normalization via SparsestMax. CVPR (2019)
Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. CoRR (2019)
Zhaoyang Zhang, Jingyu Li, Wenqi Shao, Zhanglin Peng, Ruimao Zhang, Xiaogang Wang, Ping Luo
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks. ICCV (2019)
Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wei Zhang, Yimin Chen
Learning Efficient Detector with Semi-supervised Adaptive Distillation. CoRR (2019)
Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng
Towards Understanding Regularization in Batch Normalization. CoRR (2018)