Wenxiao Wang

According to our database, Wenxiao Wang authored at least 56 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Controlling Thinking Speed in Reasoning Models.

Zhengkai Lin, Zhihang Fu, Ze Chen, Chao Chen, Liang Xie, Wenxiao Wang, Deng Cai, Zheng Wang, Jieping Ye

CoRR, July, 2025

GeoCAD: Local Geometry-Controllable CAD Generation.

Zhanwei Zhang, Kaiyuan Liu, Junjie Liu, Wenxiao Wang, Binbin Lin, Liang Xie, Chen Shen, Deng Cai

CoRR, June, 2025

From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks.

Xiaofeng Zhang, Yihao Quan, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Concise and Organized Perception Facilitates Reasoning in Large Language Models.

Junjie Liu, Shaotian Yan, Chen Shen, Zhengdong Xiao, Liang Xie, Wenxiao Wang, Jieping Ye

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models.

Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models.

Shaotian Yan, Chen Shen, Wenxiao Wang, Liang Xie, Junjie Liu, Jieping Ye

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach.

Sinan Fan, Liang Xie, Chen Shen, Ge Teng, Xiaosong Yuan, Xiaofeng Zhang, Chenxi Huang, Wenxiao Wang, Xiaofei He, Jieping Ye

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction.

Zhanwei Zhang, Minghao Chen, Zhihong Gu, Xinkui Zhao, Zheng Yang, Binbin Lin, Deng Cai, Wenxiao Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

CrossFormer++: A Versatile Vision Transformer Hinging on Cross-Scale Attention.

Wenxiao Wang, Wei Chen, Qibo Qiu, Long Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wei Liu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation.

Lin Li, Jun Xiao, Hanrong Shi, Wenxiao Wang, Jian Shao, An-An Liu, Yi Yang, Long Chen

IEEE Trans. Circuits Syst. Video Technol., January, 2024

SelFLoc: Selective feature fusion for large-scale point cloud-based place recognition.

Qibo Qiu, Wenxiao Wang, Haochao Ying, Dingkun Liang, Haiming Gao, Xiaofei He

Knowl. Based Syst., 2024

SciPIP: An LLM-based Scientific Paper Idea Proposer.

Wenxiao Wang, Lihui Gu, Liye Zhang, Yunxiang Luo, Yi Dai, Chen Shen, Liang Xie, Binbin Lin, Xiaofei He, Jieping Ye

CoRR, 2024

PD-TPE: Parallel Decoder with Text-guided Position Encoding for 3D Visual Grounding.

Chenshu Hou, Liang Peng, Xiaopei Wu, Wenxiao Wang, Xiaofei He

CoRR, 2024

From Redundancy to Relevance: Enhancing Explainability in Multimodal Large Language Models.

Xiaofeng Zhang, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye

CoRR, 2024

Model Compression and Efficient Inference for Large Language Models: A Survey.

Wenxiao Wang, Wei Chen, Yicong Luo, Yongliu Long, Zhengkai Lin, Liye Zhang, Binbin Lin, Deng Cai, Xiaofei He

CoRR, 2024

Instance-adaptive Zero-shot Chain-of-Thought Prompting.

Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control.

Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing.

Qibo Qiu, Shun Zhang, Haiming Gao, Honghui Yang, Haochao Ying, Wenxiao Wang, Xiaofei He

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction.

Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning.

Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Few-shot Hybrid Domain Adaptation of Image Generator.

Hengjia Li, Yang Liu, Linxuan Xia, Yuqi Lin, Wenxiao Wang, Tu Zheng, Zheng Yang, Xiaohui Zhong, Xiaobo Ren, Xiaofei He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts.

Yanting Yang, Minghao Chen, Qibo Qiu, Jiahao Wu, Wenxiao Wang, Binbin Lin, Ziyu Guan, Xiaofei He

Proceedings of the Computer Vision - ECCV 2024, 2024

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection.

Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Occupancy for Monocular 3D Object Detection.

Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving.

Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection.

Chenxi Huang, Tong He, Haidong Ren, Wenxiao Wang, Binbin Lin, Deng Cai

IEEE Trans. Image Process., 2023

To be or not to be? an exploration of continuously controllable prompt engineering.

Yuhan Sun, Mukai Li, Yixin Cao, Kun Wang, Wenxiao Wang, Xingyu Zeng, Rui Zhao

CoRR, 2023

Few-shot Hybrid Domain Adaptation of Image Generators.

Hengjia Li, Yang Liu, Linxuan Xia, Yuqi Lin, Tu Zheng, Zheng Yang, Wenxiao Wang, Xiaohui Zhong, Xiaobo Ren, Xiaofei He

CoRR, 2023

M³CS: Multi-Target Masked Point Modeling with Learnable Codebook and Siamese Decoders.

Qibo Qiu, Honghui Yang, Wenxiao Wang, Shun Zhang, Haiming Gao, Haochao Ying, Wei Hua, Xiaofei He

CoRR, 2023

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection.

Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai

CoRR, 2023

A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation.

Minghao Chen, Zepeng Gao, Shuai Zhao, Qibo Qiu, Wenxiao Wang, Binbin Lin, Xiaofei He

CoRR, 2023

SelFLoc: Selective Feature Fusion for Large-scale Point Cloud-based Place Recognition.

Qibo Qiu, Haiming Gao, Wenxiao Wang, Zhiyi Su, Tian Xie, Wei Hua, Xiaofei He

CoRR, 2023

Img2Vec: A Teacher of High Token-Diversity Helps Masked AutoEncoders.

Heng Pan, Chenyang Liu, Wenxiao Wang, Li Yuan, Hongfa Wang, Zhifeng Li, Wei Liu

CoRR, 2023

APPT : Asymmetric Parallel Point Transformer for 3D Point Cloud Understanding.

Hengjia Li, Tu Zheng, Zhihao Chi, Zheng Yang, Wenxiao Wang, Boxi Wu, Binbin Lin, Deng Cai

CoRR, 2023

Neural Collapse Inspired Federated Learning with Non-iid Data.

Chenxi Huang, Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai

CoRR, 2023

General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment.

Liang Xie, Yibo Yang, Wenxiao Wang, Binbin Lin, Deng Cai, Xiaofei He

CoRR, 2023

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection.

Junkai Xu, Liang Peng, Haoran Chen, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

One-shot Implicit Animatable Avatars with Model-based Priors.

Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer.

Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation.

Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards In-Distribution Compatible Out-of-Distribution Detection.

Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Toward Better Accuracy-Efficiency Trade-Offs: Divide and Co-Training.

Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu

IEEE Trans. Image Process., 2022

Towards In-distribution Compatibility in Out-of-distribution Detection.

Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

CoRR, 2022

Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation.

Lin Li, Long Chen, Hanrong Shi, Wenxiao Wang, Jian Shao, Yi Yang, Jun Xiao

CoRR, 2022

CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention.

Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph.

Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai

Proceedings of the Computer Vision - ECCV 2022, 2022

Masked Autoencoders for Point Cloud Self-supervised Learning.

Yatian Pang, Wenxiao Wang, Francis E. H. Tay, Wei Liu, Yonghong Tian, Li Yuan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

COP: customized correlation-based Filter level pruning method for deep CNN compression.

Wenxiao Wang, Zhengxu Yu, Cong Fu, Deng Cai, Xiaofei He

Neurocomputing, 2021

CrossFormer: A Versatile Vision Transformer Based on Cross-scale Attention.

Wenxiao Wang, Lu Yao, Long Chen, Deng Cai, Xiaofei He, Wei Liu

CoRR, 2021

Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework.

Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

SplitNet: Divide and Co-training.

Shuai Zhao, Liguang Zhou, Wenxiao Wang, Deng Cai, Tin Lun Lam, Yangsheng Xu

CoRR, 2020

Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework.

Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu

CoRR, 2020

Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds.

Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai

CoRR, 2020

2019

DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration.

Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu

CoRR, 2019

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning.

Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019