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Wenqi Shao
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2020 – today
- 2024
- [i31]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 abs/2401.02384 (2024) - [i30]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 abs/2402.04924 (2024) - [i29]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 abs/2402.05935 (2024) - [i28]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 abs/2402.09181 (2024) - 2023
- [c16]Zhaoyang Zhang, Yitong Jiang, Wenqi Shao, Xiaogang Wang, Ping Luo, Kaimo Lin, Jinwei Gu:
Real-Time Controllable Denoising for Image and Video. CVPR 2023: 14028-14038 - [c15]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: 4044-4054 - [c14]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: 17118-17128 - [c13]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 - [c12]Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo:
Foundation Model is Efficient Multimodal Multitask Model Selector. NeurIPS 2023 - [i27]Zhaoyang Zhang, Yitong Jiang, Wenqi Shao, Xiaogang Wang, Ping Luo, Kaimo Lin, Jinwei Gu:
Real-time Controllable Denoising for Image and Video. CoRR abs/2303.16425 (2023) - [i26]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 abs/2305.17997 (2023) - [i25]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 abs/2306.09265 (2023) - [i24]Yue Yang, Kaipeng Zhang, Yuying Ge, Wenqi Shao, Zeyue Xue, Yu Qiao, Ping Luo:
Align, Adapt and Inject: Sound-guided Unified Image Generation. CoRR abs/2306.11504 (2023) - [i23]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 abs/2307.03601 (2023) - [i22]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 abs/2308.03729 (2023) - [i21]Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo:
Foundation Model is Efficient Multimodal Multitask Model Selector. CoRR abs/2308.06262 (2023) - [i20]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 abs/2308.13137 (2023) - [i19]Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo:
Beyond One-to-One: Rethinking the Referring Image Segmentation. CoRR abs/2308.13853 (2023) - [i18]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 abs/2309.03905 (2023) - [i17]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 abs/2309.10527 (2023) - [i16]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 abs/2310.05056 (2023) - [i15]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 abs/2310.08582 (2023) - [i14]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 abs/2311.07575 (2023) - [i13]Yangyang Xu, Shengfeng He, Wenqi Shao, Kwan-Yee K. Wong, Yu Qiao, Ping Luo:
DiffusionMat: Alpha Matting as Sequential Refinement Learning. CoRR abs/2311.13535 (2023) - [i12]Yanqing Liu, Kai Wang, Wenqi Shao, Ping Luo, Yu Qiao, Mike Zheng Shou, Kaipeng Zhang, Yang You:
MLLMs-Augmented Visual-Language Representation Learning. CoRR abs/2311.18765 (2023) - [i11]Zhaoyang Zhang, Wenqi Shao, Yixiao Ge, Xiaogang Wang, Jinwei Gu, Ping Luo:
Cached Transformers: Improving Transformers with Differentiable Memory Cache. CoRR abs/2312.12742 (2023) - 2022
- [c11]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: 286-302 - [c10]Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo:
Dynamic Token Normalization improves Vision Transformers. ICLR 2022 - [i10]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 abs/2206.04028 (2022) - [i9]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 abs/2207.03036 (2022) - 2021
- [c9]Peize Sun, Yi Jiang, Enze Xie, Wenqi Shao, Zehuan Yuan, Changhu Wang, Ping Luo:
What Makes for End-to-End Object Detection? ICML 2021: 9934-9944 - [c8]Zhaoyang Zhang, Wenqi Shao, Jinwei Gu, Xiaogang Wang, Ping Luo:
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution. ICML 2021: 12546-12556 - [c7]Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo:
Rethinking the Pruning Criteria for Convolutional Neural Network. NeurIPS 2021: 16305-16318 - [i8]Wenqi Shao, Hang Yu, Zhaoyang Zhang, Hang Xu, Zhenguo Li, Ping Luo:
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening. CoRR abs/2105.06423 (2021) - [i7]Zhaoyang Zhang, Wenqi Shao, Jinwei Gu, Xiaogang Wang, Ping Luo:
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution. CoRR abs/2106.02295 (2021) - [i6]Wenqi Shao, Yixiao Ge, Zhaoyang Zhang, Xuyuan Xu, Xiaogang Wang, Ying Shan, Ping Luo:
Dynamic Token Normalization Improves Vision Transformer. CoRR abs/2112.02624 (2021) - 2020
- [j1]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): 2107-2125 (2020) - [c6]Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo:
Channel Equilibrium Networks for Learning Deep Representation. ICML 2020: 8645-8654 - [i5]Wenqi Shao, Shitao Tang, Xingang Pan, Ping Tan, Xiaogang Wang, Ping Luo:
Channel Equilibrium Networks for Learning Deep Representation. CoRR abs/2003.00214 (2020)
2010 – 2019
- 2019
- [c5]Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wayne Zhang, Zheng Lu:
Learning Efficient Detector with Semi-supervised Adaptive Distillation. BMVC 2019: 215 - [c4]Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo:
SSN: Learning Sparse Switchable Normalization via SparsestMax. CVPR 2019: 443-451 - [c3]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: 3541-3550 - [c2]Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng:
Towards Understanding Regularization in Batch Normalization. ICLR (Poster) 2019 - [c1]Ping Luo, Zhanglin Peng, Wenqi Shao, Ruimao Zhang, Jiamin Ren, Lingyun Wu:
Differentiable Dynamic Normalization for Learning Deep Representation. ICML 2019: 4203-4211 - [i4]Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wei Zhang, Yimin Chen:
Learning Efficient Detector with Semi-supervised Adaptive Distillation. CoRR abs/1901.00366 (2019) - [i3]Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo:
SSN: Learning Sparse Switchable Normalization via SparsestMax. CoRR abs/1903.03793 (2019) - [i2]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 abs/1908.05867 (2019) - 2018
- [i1]Ping Luo, Xinjiang Wang, Wenqi Shao, Zhanglin Peng:
Towards Understanding Regularization in Batch Normalization. CoRR abs/1809.00846 (2018)
Coauthor Index
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last updated on 2024-03-03 00:12 CET by the dblp team
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