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ORCIDWenxiao Wang 0001
Person information
- affiliation: Zhejiang University, Hangzhou, China
Other persons with the same name
- Wenxiao Wang 0002 — University of Maryland, Department of Computer Science, College Park, MD, USA (and 1 more)
- Wenxiao Wang 0003 — Institut supérieur d'électronique de Paris, Paris, France
- Wenxiao Wang 0004
![[0000-0001-7328-0267]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7328-0267")
— Macau University of Science and Technology, Faculty of Information Technology, Macau - Wenxiao Wang 0005 — The University of Western Australia, Australia
- Wenxiao Wang 0006 — Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning / IDG/McGovern Institute for Brain Research / BABRI Centre, China
- Wenxiao Wang 0007 — Xidian University, School of Electro-Mechanical Engineering, Department of Automation, Xi'an, China
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2020 – today
- 2024
[j6]Qibo Qiu, Wenxiao Wang, Haochao Ying, Dingkun Liang, Haiming Gao, Xiaofei He:
SelFLoc: Selective feature fusion for large-scale point cloud-based place recognition. Knowl. Based Syst. 295: 111794 (2024)- [j5]Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu:
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3123-3136 (2024) - [j4]Lin Li, Jun Xiao, Hanrong Shi, Wenxiao Wang, Jian Shao, An-An Liu, Yi Yang, Long Chen:
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation. IEEE Trans. Circuits Syst. Video Technol. 34(1): 195-206 (2024) - [c17]Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai:
Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving. AAAI 2024: 6306-6314 - [c16]Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai:
Learning Occupancy for Monocular 3D Object Detection. CVPR 2024: 10281-10292 - [c15]Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai:
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection. CVPR 2024: 15291-15300 - [c14]Yanting Yang, Minghao Chen, Qibo Qiu, Jiahao Wu, Wenxiao Wang, Binbin Lin, Ziyu Guan, Xiaofei He:
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts. ECCV (57) 2024: 163-180 - [c13]Hengjia Li, Yang Liu, Linxuan Xia, Yuqi Lin, Wenxiao Wang, Tu Zheng, Zheng Yang, Xiaohui Zhong, Xiaobo Ren, Xiaofei He:
Few-shot Hybrid Domain Adaptation of Image Generator. ICLR 2024 - [c12]Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye:
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. ICML 2024 - [c11]Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang:
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction. IJCAI 2024: 2579-2587 - [i37]Wenxiao Wang, Wei Chen, Yicong Luo, Yongliu Long, Zhengkai Lin, Liye Zhang, Binbin Lin, Deng Cai, Xiaofei He:
Model Compression and Efficient Inference for Large Language Models: A Survey. CoRR abs/2402.09748 (2024) - [i36]Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang:
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction. CoRR abs/2404.19330 (2024) - [i35]Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai:
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection. CoRR abs/2404.19384 (2024) - [i34]Xiaofeng Zhang, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye:
From Redundancy to Relevance: Enhancing Explainability in Multimodal Large Language Models. CoRR abs/2406.06579 (2024) - [i33]Chenshu Hou, Liang Peng, Xiaopei Wu, Wenxiao Wang, Xiaofei He:
PD-TPE: Parallel Decoder with Text-guided Position Encoding for 3D Visual Grounding. CoRR abs/2407.14491 (2024) - [i32]Yanting Yang, Minghao Chen, Qibo Qiu, Jiahao Wu, Wenxiao Wang, Binbin Lin, Ziyu Guan, Xiaofei He:
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts. CoRR abs/2407.14872 (2024) - [i31]Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye:
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. CoRR abs/2409.01658 (2024) - [i30]Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye:
Instance-adaptive Zero-shot Chain-of-Thought Prompting. CoRR abs/2409.20441 (2024) - [i29]Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye:
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? CoRR abs/2410.18808 (2024) - [i28]Wenxiao Wang, Lihui Gu, Liye Zhang, Yunxiang Luo, Yi Dai, Chen Shen, Liang Xie, Binbin Lin, Xiaofei He, Jieping Ye:
SciPIP: An LLM-based Scientific Paper Idea Proposer. CoRR abs/2410.23166 (2024) - 2023
- [j3]Chenxi Huang, Tong He, Haidong Ren, Wenxiao Wang, Binbin Lin, Deng Cai:
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection. IEEE Trans. Image Process. 32: 6570-6581 (2023) - [c10]Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu:
Towards In-Distribution Compatible Out-of-Distribution Detection. AAAI 2023: 10333-10341 - [c9]Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang:
PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer. CVPR 2023: 13476-13487 - [c8]Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He:
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. CVPR 2023: 15305-15314 - [c7]Junkai Xu, Liang Peng, Haoran Chen, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai:
MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection. ICCV 2023: 6791-6801 - [c6]Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai:
One-shot Implicit Animatable Avatars with Model-based Priors. ICCV 2023: 8940-8951 - [i27]Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai, Xiaofei He:
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment. CoRR abs/2302.09907 (2023) - [i26]Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu:
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale Attention. CoRR abs/2303.06908 (2023) - [i25]Chenxi Huang, Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai:
Neural Collapse Inspired Federated Learning with Non-iid Data. CoRR abs/2303.16066 (2023) - [i24]Hengjia Li, Tu Zheng, Zhihao Chi, Zheng Yang, Wenxiao Wang, Boxi Wu, Binbin Lin, Deng Cai:
APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding. CoRR abs/2303.17815 (2023) - [i23]Heng Pan, Chenyang Liu, Wenxiao Wang, Li Yuan, Hongfa Wang, Zhifeng Li, Wei Liu:
Img2Vec: A Teacher of High Token-Diversity Helps Masked AutoEncoders. CoRR abs/2304.12535 (2023) - [i22]Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang:
PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer. CoRR abs/2305.06621 (2023) - [i21]Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai:
Learning Occupancy for Monocular 3D Object Detection. CoRR abs/2305.15694 (2023) - [i20]Qibo Qiu, Haiming Gao, Wenxiao Wang, Zhiyi Su, Tian Xie, Wei Hua, Xiaofei He:
SelFLoc: Selective Feature Fusion for Large-scale Point Cloud-based Place Recognition. CoRR abs/2306.01205 (2023) - [i19]Minghao Chen, Zepeng Gao, Shuai Zhao, Qibo Qiu, Wenxiao Wang, Binbin Lin, Xiaofei He:
A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation. CoRR abs/2308.00287 (2023) - [i18]Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai:
MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection. CoRR abs/2308.09421 (2023) - [i17]Qibo Qiu, Honghui Yang, Wenxiao Wang, Shun Zhang, Haiming Gao, Haochao Ying, Wei Hua, Xiaofei He:
M3CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders. CoRR abs/2309.13235 (2023) - [i16]Hengjia Li, Yang Liu, Linxuan Xia, Yuqi Lin, Tu Zheng, Zheng Yang, Wenxiao Wang, Xiaohui Zhong, Xiaobo Ren, Xiaofei He:
Few-shot Hybrid Domain Adaptation of Image Generators. CoRR abs/2310.19378 (2023) - [i15]Yuhan Sun, Mukai Li, Yixin Cao, Kun Wang, Wenxiao Wang, Xingyu Zeng, Rui Zhao:
To be or not to be? an exploration of continuously controllable prompt engineering. CoRR abs/2311.09773 (2023) - [i14]Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai:
Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving. CoRR abs/2312.11837 (2023) - 2022
- [j2]Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu:
Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co-Training. IEEE Trans. Image Process. 31: 5869-5880 (2022) - [c5]Yatian Pang, Wenxiao Wang, Francis E. H. Tay, Wei Liu, Yonghong Tian, Li Yuan:
Masked Autoencoders for Point Cloud Self-supervised Learning. ECCV (2) 2022: 604-621 - [c4]Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai:
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph. ECCV (8) 2022: 662-679 - [c3]Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu:
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention. ICLR 2022 - [i13]Yatian Pang, Wenxiao Wang, Francis E. H. Tay, Wei Liu, Yonghong Tian, Li Yuan:
Masked Autoencoders for Point Cloud Self-supervised Learning. CoRR abs/2203.06604 (2022) - [i12]Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai:
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph. CoRR abs/2208.03624 (2022) - [i11]Lin Li, Long Chen, Hanrong Shi, Wenxiao Wang, Jian Shao, Yi Yang, Jun Xiao:
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation. CoRR abs/2208.03763 (2022) - [i10]Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu:
Towards In-distribution Compatibility in Out-of-distribution Detection. CoRR abs/2208.13433 (2022) - [i9]Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai:
One-shot Implicit Animatable Avatars with Model-based Priors. CoRR abs/2212.02469 (2022) - [i8]Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He:
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. CoRR abs/2212.09506 (2022) - [i7]Chenxi Huang, Tong He, Haidong Ren, Wenxiao Wang, Binbin Lin, Deng Cai:
OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection. CoRR abs/2212.10049 (2022) - 2021
- [j1]Wenxiao Wang, Zhengxu Yu, Cong Fu, Deng Cai, Xiaofei He:
COP: customized correlation-based Filter level pruning method for deep CNN compression. Neurocomputing 464: 533-545 (2021) - [c2]Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu:
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework. ICML 2021: 10717-10726 - [i6]Wenxiao Wang, Lu Yao, Long Chen, Deng Cai, Xiaofei He, Wei Liu:
CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention. CoRR abs/2108.00154 (2021) - 2020
- [i5]Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai:
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds. CoRR abs/2004.00186 (2020) - [i4]Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu:
Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework. CoRR abs/2010.04879 (2020) - [i3]Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu:
SplitNet: Divide and Co-training. CoRR abs/2011.14660 (2020)
2010 – 2019
- 2019
- [c1]Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He:
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning. IJCAI 2019: 3785-3791 - [i2]Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He:
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning. CoRR abs/1906.10337 (2019) - [i1]Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu:
DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration. CoRR abs/1912.10178 (2019)
Coauthor Index
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