He, Xiaofei

81 publications

ICLR 2025 Depth Any Video with Scalable Synthetic Data Honghui Yang, Di Huang, Wei Yin, Chunhua Shen, Haifeng Liu, Xiaofei He, Binbin Lin, Wanli Ouyang, Tong He

ICLR 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

AAAI 2025 Local Conditional Controlling for Text-to-Image Diffusion Models Yibo Zhao, Liang Peng, Yang Yang, Zekai Luo, Hengjia Li, Yao Chen, Zheng Yang, Xiaofei He, Wei Zhao, Qinglin Lu, Wei Liu, Boxi Wu

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

NeurIPS 2025 Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models Liang Peng, Boxi Wu, Haoran Cheng, Yibo Zhao, Xiaofei He

ECCV 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

NeurIPS 2024 AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin, Xiaofei He

NeurIPS 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

NeurIPS 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

ICLR 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

IJCAI 2024 Task-Agnostic Self-Distillation for Few-Shot Action Recognition Bin Zhang, Yuanjie Dang, Peng Chen, Ronghua Liang, Nan Gao, Ruohong Huan, Xiaofei He

CVPR 2024 UniPAD: A Universal Pre-Training Paradigm for Autonomous Driving Honghui Yang, Sha Zhang, Di Huang, Xiaoyang Wu, Haoyi Zhu, Tong He, Shixiang Tang, Hengshuang Zhao, Qibo Qiu, Binbin Lin, Xiaofei He, Wanli Ouyang

CVPR 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

CVPR 2023 GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds Honghui Yang, Tong He, Jiaheng Liu, Hua Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wanli Ouyang

CVPR 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

AAAI 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

CVPR 2022 CLRNet: Cross Layer Refinement Network for Lane Detection Tu Zheng, Yifei Huang, Yang Liu, Wenjian Tang, Zheng Yang, Deng Cai, Xiaofei He

ICLR 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

AAAI 2022 DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He

ECCV 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

CVPR 2022 Learning to Affiliate: Mutual Centralized Learning for Few-Shot Classification Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai, Xiaofei He

CVPR 2022 MLSLT: Towards Multilingual Sign Language Translation Aoxiong Yin, Zhou Zhao, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He

ECCV 2022 Towards Efficient Adversarial Training on Vision Transformers Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

ICLR 2022 WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai

ICML 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

NeurIPS 2021 Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu

ICCV 2021 Salient Object Ranking with Position-Preserved Attention Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He

IJCAI 2020 MaCAR: Urban Traffic Light Control via Active Multi-Agent Communication and Action Rectification Zhengxu Yu, Shuxian Liang, Long Wei, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

AAAI 2020 PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He

IJCAI 2019 COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He

IJCAI 2019 Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Xiaofei He

IJCAI 2019 Progressive Transfer Learning for Person Re-Identification Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

JMLR 2019 Scaling up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

IJCAI 2018 Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning Zhou Zhao, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang

NeurIPS 2018 MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models Boyuan Pan, Yazheng Yang, Hao Li, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He

IJCAI 2018 Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network Zhou Zhao, Xinghua Jiang, Deng Cai, Jun Xiao, Xiaofei He, Shiliang Pu

IJCAI 2018 Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He

AAAI 2017 Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning Zhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang

IJCAI 2017 Link Prediction via Ranking Metric Dual-Level Attention Network Learning Zhou Zhao, Ben Gao, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang

IJCAI 2017 Microblog Sentiment Classification via Recurrent Random Walk Network Learning Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang

IJCAI 2017 Robust Asymmetric Bayesian Adaptive Matrix Factorization Xin Guo, Boyuan Pan, Deng Cai, Xiaofei He

ICML 2017 Scaling up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

IJCAI 2017 Video Question Answering via Hierarchical Spatio-Temporal Attention Networks Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He, Yueting Zhuang

AAAI 2016 Accelerated Sparse Linear Regression via Random Projection Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He

IJCAI 2016 Expert Finding for Community-Based Question Answering via Ranking Metric Network Learning Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He, Yueting Zhuang

IJCAI 2016 Non-Negative Matrix Factorization with Sinkhorn Distance Wei Qian, Bin Hong, Deng Cai, Xiaofei He, Xuelong Li

IJCAI 2015 Mobile Query Recommendation via Tensor Function Learning Zhou Zhao, Ruihua Song, Xing Xie, Xiaofei He, Yueting Zhuang

ICML 2014 Geodesic Distance Function Learning via Heat Flow on Vector Fields Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye

AAAI 2014 Sparse Learning for Stochastic Composite Optimization Weizhong Zhang, Lijun Zhang, Yao Hu, Rong Jin, Deng Cai, Xiaofei He

IJCAI 2013 A Unified Approximate Nearest Neighbor Search Scheme by Combining Data Structure and Hashing Debing Zhang, Genmao Yang, Yao Hu, Zhongming Jin, Deng Cai, Xiaofei He

IJCAI 2013 Active Learning Based on Local Representation Yao Hu, Debing Zhang, Zhongming Jin, Deng Cai, Xiaofei He

IJCAI 2013 Harmonious Hashing Bin Xu, Jiajun Bu, Yue Lin, Chun Chen, Xiaofei He, Deng Cai

ICML 2013 O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions Lijun Zhang, Tianbao Yang, Rong Jin, Xiaofei He

ICML 2013 Online Kernel Learning with a near Optimal Sparsity Bound Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin, Xiaofei He

JMLR 2013 Parallel Vector Field Embedding Binbin Lin, Xiaofei He, Chiyuan Zhang, Ming Ji

AAAI 2012 Document Summarization Based on Data Reconstruction Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He

AAAI 2012 Efficient Online Learning for Large-Scale Sparse Kernel Logistic Regression Lijun Zhang, Rong Jin, Chun Chen, Jiajun Bu, Xiaofei He

CVPR 2012 Matrix Completion by Truncated Nuclear Norm Regularization Debing Zhang, Yao Hu, Jieping Ye, Xuelong Li, Xiaofei He

NeurIPS 2012 Multi-Task Vector Field Learning Binbin Lin, Sen Yang, Chiyuan Zhang, Jieping Ye, Xiaofei He

AAAI 2012 Random Projection with Filtering for Nearly Duplicate Search Yue Lin, Rong Jin, Deng Cai, Xiaofei He

CVPR 2011 Non-Negative Local Coordinate Factorization for Image Representation Yan Chen, Hujun Bao, Xiaofei He

NeurIPS 2011 Semi-Supervised Regression via Parallel Field Regularization Binbin Lin, Chiyuan Zhang, Xiaofei He

CVPR 2011 Sparse Concept Coding for Visual Analysis Deng Cai, Hujun Bao, Xiaofei He

AAAI 2010 Gaussian Mixture Model with Local Consistency Jialu Liu, Deng Cai, Xiaofei He

CVPR 2009 A Unified Active and Semi-Supervised Learning Framework for Image Compression Xiaofei He, Ming Ji, Hujun Bao

ICCV 2009 Active Subspace Learning Xiaofei He, Deng Cai

IJCAI 2009 Graph Embedding with Constraints Xiaofei He, Ming Ji, Hujun Bao

IJCAI 2009 Locality Preserving Nonnegative Matrix Factorization Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, Jiawei Han

ICML 2009 Probabilistic Dyadic Data Analysis with Local and Global Consistency Deng Cai, Xuanhui Wang, Xiaofei He

AAAI 2008 Sparse Projections over Graph Deng Cai, Xiaofei He, Jiawei Han

AAAI 2007 Isometric Projection Deng Cai, Xiaofei He, Jiawei Han

CVPR 2007 Learning a Spatially Smooth Subspace for Face Recognition Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thomas S. Huang

IJCAI 2007 Locality Sensitive Discriminant Analysis Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun Bao

ICCV 2007 Semi-Supervised Discriminant Analysis Deng Cai, Xiaofei He, Jiawei Han

ICCV 2007 Spectral Regression for Efficient Regularized Subspace Learning Deng Cai, Xiaofei He, Jiawei Han

NeurIPS 2005 Laplacian Score for Feature Selection Xiaofei He, Deng Cai, Partha Niyogi

ICCV 2005 Neighborhood Preserving Embedding Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zhang

ICML 2005 Statistical and Computational Analysis of Locality Preserving Projection Xiaofei He, Deng Cai, Wanli Min

NeurIPS 2005 Tensor Subspace Analysis Xiaofei He, Deng Cai, Partha Niyogi

ICCV 2003 Learning a Locality Preserving Subspace for Visual Recognition Xiaofei He, Shuicheng Yan, Yuxiao Hu, HongJiang Zhang

NeurIPS 2003 Locality Preserving Projections Xiaofei He, Partha Niyogi