He, Xin

22 publications

AAAI 2025 Boosting Segment Anything Model Towards Open-Vocabulary Learning Xumeng Han, Longhui Wei, Xuehui Yu, Zhiyang Dou, Xin He, Kuiran Wang, Yingfei Sun, Zhenjun Han, Qi Tian
JAIR 2025 Graph Collaborative Filtering Model Combining Time Factor and Attention Mechanism Xianglin Zuo, Xin He, Tianhao Jia, Ying Wang
AAAI 2025 IMAGDressing-V1: Customizable Virtual Dressing Fei Shen, Xin Jiang, Xin He, Hu Ye, Cong Wang, Xiaoyu Du, Zechao Li, Jinhui Tang
IJCAI 2025 Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models Xin He, Longhui Wei, Lingxi Xie, Qi Tian
IJCAI 2025 Mamba-Based Graph Convolutional Networks: Tackling Over-Smoothing with Selective State Space Xin He, Yili Wang, Wenqi Fan, Xu Shen, Xin Juan, Rui Miao, Xin Wang
JMLR 2024 Deep Nonparametric Quantile Regression Under Covariate Shift Xingdong Feng, Xin He, Yuling Jiao, Lican Kang, Caixing Wang
NeurIPS 2024 On the Target-Kernel Alignment: A Unified Analysis with Kernel Complexity Chao Wang, Xin He, Yuwen Wang, Junhui Wang
IJCAI 2024 SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward Xin He, Hongwei Ge, Yaqing Hou, Jincheng Yu
ICML 2024 Towards Theoretical Understanding of Learning Large-Scale Dependent Data via Random Features Chao Wang, Xin Bing, Xin He, Caixing Wang
CVPRW 2024 UAV-Rain1k: A Benchmark for Raindrop Removal from UAV Aerial Imagery Wenhui Chang, Hongming Chen, Xin He, Xiang Chen, Liangduo Shen
ECCV 2024 WindPoly: Polygonal Mesh Reconstruction via Winding Numbers Xin He, Chenlei Lv, Pengdi Huang, Hui Huang
NeurIPS 2023 Implicit Regularization in Over-Parameterized Support Vector Machine Yang Sui, Xin He, Yang Bai
JMLR 2023 Kernel-Based Estimation for Partially Functional Linear Model: Minimax Rates and Randomized Sketches Shaogao Lv, Xin He, Junhui Wang
AAAI 2023 NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu
NeurIPS 2023 Towards a Unified Analysis of Kernel-Based Methods Under Covariate Shift Xingdong Feng, Xin He, Caixing Wang, Chao Wang, Jingnan Zhang
ECCV 2022 EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu
NeurIPS 2022 Fine-Grained Semantically Aligned Vision-Language Pre-Training Juncheng Li, Xin He, Longhui Wei, Long Qian, Linchao Zhu, Lingxi Xie, Yueting Zhuang, Qi Tian, Siliang Tang
JMLR 2022 Learning Linear Non-Gaussian Directed Acyclic Graph with Diverging Number of Nodes Ruixuan Zhao, Xin He, Junhui Wang
ICML 2022 Virtual Homogeneity Learning: Defending Against Data Heterogeneity in Federated Learning Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu
AAAI 2021 Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding
ECCVW 2020 VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu
ECCV 2018 TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes Shangbang Long, Jiaqiang Ruan, Wenjie Zhang, Xin He, Wenhao Wu, Cong Yao