Wu, Xi

23 publications

IJCAI 2025 RLMiniStyler: Light-Weight RL Style Agent for Arbitrary Sequential Neural Style Generation Jing Hu, Chengming Feng, Shu Hu, Ming-Ching Chang, Xin Li, Xi Wu, Xin Wang
IJCAI 2025 Robust Graph Contrastive Learning for Incomplete Multi-View Clustering Deyin Zhuang, Jian Dai, Xingfeng Li, Xi Wu, Yuan Sun, Zhenwen Ren
CVPRW 2024 CityLLaVA: Efficient Fine-Tuning for VLMs in City Scenario Zhizhao Duan, Hao Cheng, Duo Xu, Xi Wu, Xiangxie Zhang, Xi Ye, Zhen Xie
ICML 2024 Two Heads Are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection Nils Palumbo, Yang Guo, Xi Wu, Jiefeng Chen, Yingyu Liang, Somesh Jha
ECCV 2024 VersatileGaussian: Real-Time Neural Rendering for Versatile Tasks Using Gaussian Splatting Renjie Li, Zhiwen Fan, Bohua Wang, Peihao Wang, Zhangyang Wang, Xi Wu
IJCAI 2023 Controlling Neural Style Transfer with Deep Reinforcement Learning Chengming Feng, Jing Hu, Xin Wang, Shu Hu, Bin Zhu, Xi Wu, Hongtu Zhu, Siwei Lyu
CVPRW 2023 Harnessing the Power of Text-Image Contrastive Models for Automatic Detection of Online Misinformation Hao Chen, Peng Zheng, Xin Wang, Shu Hu, Bin Zhu, Jinrong Hu, Xi Wu, Siwei Lyu
IJCAI 2023 LION: Label Disambiguation for Semi-Supervised Facial Expression Recognition with Progressive Negative Learning Zhongjing Du, Xu Jiang, Peng Wang, Qizheng Zhou, Xi Wu, Jiliu Zhou, Yan Wang
CVPRW 2023 NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang
ICML 2023 Stratified Adversarial Robustness with Rejection Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha
ICLR 2023 The Trade-Off Between Universality and Label Efficiency of Representations from Contrastive Learning Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
NeurIPSW 2022 Best of Both Worlds: Towards Adversarial Robustness with Transduction and Rejection Nils Palumbo, Xi Wu, Yang Guo, Jiefeng Chen, Yingyu Liang, Somesh Jha
CVPRW 2022 City-Scale Multi-Camera Vehicle Tracking Based on Space-Time-Appearance Features Hui Yao, Zhizhao Duan, Zhen Xie, Jingbo Chen, Xi Wu, Duo Xu, YuTao Gao
AAAI 2022 Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration Ziwei Luo, Jing Hu, Xin Wang, Shu Hu, Bin Kong, Youbing Yin, Qi Song, Xi Wu, Siwei Lyu
ICMLW 2022 The Trade-Off Between Label Efficiency and Universality of Representations from Contrastive Learning Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
ICLR 2022 Towards Evaluating the Robustness of Neural Networks Learned by Transduction Jiefeng Chen, Xi Wu, Yang Guo, Yingyu Liang, Somesh Jha
ECML-PKDD 2021 ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha
NeurIPS 2021 Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-Training Ensembles Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha
IJCAI 2021 Stochastic Actor-Executor-Critic for Image-to-Image Translation Ziwei Luo, Jing Hu, Xin Wang, Siwei Lyu, Bin Kong, Youbing Yin, Qi Song, Xi Wu
ICML 2020 Concise Explanations of Neural Networks Using Adversarial Training Prasad Chalasani, Jiefeng Chen, Amrita Roy Chowdhury, Xi Wu, Somesh Jha
ECCVW 2020 VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results Heng Fan, Dawei Du, Longyin Wen, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Arne Schumann, Bin Dong, Daniel Stadler, Duo Xu, Filiz Bunyak, Guna Seetharaman, Guizhong Liu, V. Haritha, P. S Hrishikesh, Jie Han, Kannappan Palaniappan, Kaojin Zhu, Lars Wilko Sommer, Libo Zhang, Linu Shine, Min Yao, Noor M. Al-Shakarji, Shengwen Li, Ting Sun, Wang Sai, Wentao Yu, Xi Wu, Xiaopeng Hong, Xing Wei, Xingjie Zhao, Yanyun Zhao, Yihong Gong, Yuehan Yao, Yuhang He, Zhaoze Zhao, Zhen Xie, Zheng Yang, Zhenyu Xu, Zhipeng Luo, Zhizhao Duan
NeurIPS 2019 Robust Attribution Regularization Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha
ICML 2018 Reinforcing Adversarial Robustness Using Model Confidence Induced by Adversarial Training Xi Wu, Uyeong Jang, Jiefeng Chen, Lingjiao Chen, Somesh Jha