Xu, Ke

85 publications

NeurIPS 2025 ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models Weifei Jin, Yuxin Cao, Junjie Su, Jason Xue, Jie Hao, Ke Xu, Jin Song Dong, Derui Wang

ICLR 2025 An Engorgio Prompt Makes Large Language Model Babble on Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang, Tianwei Zhang, Hao Wang, Hewu Li, Qi Li, Chao Zhang, Ke Xu, Han Qiu

NeurIPS 2025 Exploring Semantic-Constrained Adversarial Example with Instruction Uncertainty Reduction Jin Hu, Jiakai Wang, Linna Jing, Haolin Li, Haodong Liu, Haotong Qin, Aishan Liu, Ke Xu, Xianglong Liu

NeurIPS 2025 FlowRefiner: A Robust Traffic Classification Framework Against Label Noise Mingwei Zhan, Ruijie Zhao, Xianwen Deng, Zhi Xue, Qi Li, Zhuotao Liu, Guang Cheng, Ke Xu

CVPR 2025 Language-Guided Salient Object Ranking Fang Liu, Yuhao Liu, Ke Xu, Shuquan Ye, Gerhard Petrus Hancke, Rynson W. H. Lau

NeurIPS 2025 MRSAudio: A Large-Scale Multimodal Recorded Spatial Audio Dataset with Refined Annotations Wenxiang Guo, Changhao Pan, Zhiyuan Zhu, Xintong Hu, Yu Zhang, Li Tang, Rui Yang, Han Wang, Zongbao Zhang, Yuhan Wang, Yixuan Chen, Hankun Xu, Ke Xu, PengFei Fan, ZheTao Chen, Yanhao Yu, Qiange Huang, Fei Wu, Zhou Zhao

ICCV 2025 One Perturbation Is Enough: On Generating Universal Adversarial Perturbations Against Vision-Language Pre-Training Models Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Hao Wu, Shu-Tao Xia, Ke Xu

ICLR 2025 RDT-1B: A Diffusion Foundation Model for Bimanual Manipulation Songming Liu, Lingxuan Wu, Bangguo Li, Hengkai Tan, Huayu Chen, Zhengyi Wang, Ke Xu, Hang Su, Jun Zhu

NeurIPS 2025 Redundancy-Aware Test-Time Graph Out-of-Distribution Detection Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Junran Wu, Ke Xu

ICCV 2025 SEHDR: Single-Exposure HDR Novel View Synthesis via 3D Gaussian Bracketing Yiyu Li, Haoyuan Wang, Ke Xu, Gerhard Petrus Hancke, Rynson W.H. Lau

IJCAI 2025 Soft Reasoning Paths for Knowledge Graph Completion Yanning Hou, Sihang Zhou, Ke Liang, Lingyuan Meng, Xiaoshu Chen, Ke Xu, Siwei Wang, Xinwang Liu, Jian Huang

AAAI 2025 Structural Entropy Guided Unsupervised Graph Out-of-Distribution Detection Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Jinxiang Xia, Junran Wu, Ke Xu

AAAI 2025 Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues Mingshen Wang, Zhao Zhang, Feng Li, Ke Xu, Kang Miao, Meng Wang

CVPR 2025 TopNet: Transformer-Efficient Occupancy Prediction Network for Octree-Structured Point Cloud Geometry Compression Xinjie Wang, Yifan Zhang, Ting Liu, Xinpu Liu, Ke Xu, Jianwei Wan, Yulan Guo, Hanyun Wang

NeurIPS 2025 Under the Shadow: Exploiting Opacity Variation for Fine-Grained Shadow Detection Xiaotian Qiao, Ke Xu, Xianglong Yang, Ruijie Dong, Xiaofang Xia, Jiangtao Cui

AAAI 2024 Adversarial Robust Safeguard for Evading Deep Facial Manipulation Jiazhi Guan, Yi Zhao, Zhuoer Xu, Changhua Meng, Ke Xu, Youjian Zhao

AAAI 2024 Boosting Neural Cognitive Diagnosis with Student's Affective State Modeling Shanshan Wang, Zhen Zeng, Xun Yang, Ke Xu, Xingyi Zhang

CVPR 2024 Color Shift Estimation-and-Correction for Image Enhancement Yiyu Li, Ke Xu, Gerhard Petrus Hancke, Rynson W.H. Lau

CVPR 2024 Effective Video Mirror Detection with Inconsistent Motion Cues Alex Warren, Ke Xu, Jiaying Lin, Gary K.L. Tam, Rynson W.H. Lau

IJCAI 2024 Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-Based Methods Chuni Liu, Boyuan Ma, Xiaojuan Ban, Yujie Xie, Hao Wang, Weihua Xue, Jingchao Ma, Ke Xu

ICLR 2024 Graph-Constrained Diffusion for End-to-End Path Planning Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye

CVPR 2024 LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling Jiaheng Liu, Jianhao Li, Kaisiyuan Wang, Hongcheng Guo, Jian Yang, Junran Peng, Ke Xu, Xianglong Liu, Jinyang Guo

NeurIPS 2024 LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-Light Scenes Zefan Qu, Ke Xu, Gerhard Petrus Hancke, Rynson W.H. Lau

AAAI 2024 Multi-View Dynamic Reflection Prior for Video Glass Surface Detection Fang Liu, Yuhao Liu, Jiaying Lin, Ke Xu, Rynson W. H. Lau

ICLR 2024 OWL: A Large Language Model for IT Operations Hongcheng Guo, Jian Yang, Jiaheng Liu, Liqun Yang, Linzheng Chai, Jiaqi Bai, Junran Peng, Xiaorong Hu, Chao Chen, Dongfeng Zhang, Xu Shi, Tieqiao Zheng, Liangfan Zheng, Bo Zhang, Ke Xu, Zhoujun Li

AAAI 2024 PTMQ: Post-Training Multi-Bit Quantization of Neural Networks Ke Xu, Zhongcheng Li, Shanshan Wang, Xingyi Zhang

AAAI 2024 Recasting Regional Lighting for Shadow Removal Yuhao Liu, Zhanghan Ke, Ke Xu, Fang Liu, Zhenwei Wang, Rynson W. H. Lau

NeurIPS 2024 RoleAgent: Building, Interacting, and Benchmarking High-Quality Role-Playing Agents from Scripts Jiaheng Liu, Zehao Ni, Haoran Que, Tao Sun, Zekun Wang, Jian Yang, Jiakai Wang, Hongcheng Guo, Zhongyuan Peng, Ge Zhang, Jiayi Tian, Xingyuan Bu, Ke Xu, Wenge Rong, Junran Peng, Zhaoxiang Zhang

ECCV 2024 Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts Jianhao Li, Tianyu Sun, Zhongdao Wang, Enze Xie, Bailan Feng, Hongbo Zhang, Ze Yuan, Ke Xu, Jiaheng Liu, Ping Luo

CVPR 2024 Unsupervised Salient Instance Detection Xin Tian, Ke Xu, Rynson Lau

AAAI 2024 ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision Ke Xu, Tsun Wai Siu, Rynson W. H. Lau

ICCV 2023 Adaptive Illumination Mapping for Shadow Detection in Raw Images Jiayu Sun, Ke Xu, Youwei Pang, Lihe Zhang, Huchuan Lu, Gerhard Hancke, Rynson Lau

AAAI 2023 Differentially Private Learning with Per-Sample Adaptive Clipping Tianyu Xia, Shuheng Shen, Su Yao, Xinyi Fu, Ke Xu, Xiaolong Xu, Xing Fu

ICCV 2023 EQ-Net: Elastic Quantization Neural Networks Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang

CVPRW 2023 Efficient Deep Models for Real-Time 4k Image Super-Resolution. NTIRE 2023 Benchmark and Report Marcos V. Conde, Eduard Zamfir, Radu Timofte, Daniel Motilla, Cen Liu, Zexin Zhang, Yunbo Peng, Yue Lin, Jiaming Guo, Xueyi Zou, Yuyi Chen, Yi Liu, Jia Hao, Youliang Yan, Yuanfan Zhang, Gen Li, Lei Sun, Lingshun Kong, Haoran Bai, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Long Sun, Zibin Liu, Weiran Gou, Shaoqing Li, Ziyao Yi, Yan Xiang, Dehui Kong, Ke Xu, Ganzorig Gankhuyag, Kihwan Yoon, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Zhou Zhou, Jiahao Chao, Hongfan Gao, Jiali Gong, Zhengfeng Yang, Zhenbing Zeng, Chengpeng Chen, Zichao Guo, Anjin Park, Yuqing Liu, Qi Jia, Hongyuan Yu, Xuanwu Yin, Dongyang Zhang, Ting Fu, Zhengxue Cheng, Shiai Zhu, Dajiang Zhou, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Ben Shao, Shaolong Zheng, Daheng Yin, Baijun Chen, Mengyang Liu, Marian-Sergiu Nistor, Yi-Chung Chen, Zhi-Kai Huang, Yuan-Chun Chiang, Wei-Ting Chen, Hao-Hsiang Yang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Tu Vo, Qingsen Yan, Yun Zhu, Jinqiu Su, Yanning Zhang, Cheng Zhang, Jiaying Luo, Youngsun Cho, Nakyung Lee, Kunlong Zuo

ICCV 2023 Learning Image Harmonization in the Linear Color Space Ke Xu, Gerhard Petrus Hancke, Rynson W.H. Lau

ICCV 2023 Lighting up NeRF via Unsupervised Decomposition and Enhancement Haoyuan Wang, Xiaogang Xu, Ke Xu, Rynson W.H. Lau

ICLR 2023 Multimodal Federated Learning via Contrastive Representation Ensemble Qiying Yu, Yang Liu, Yimu Wang, Ke Xu, Jingjing Liu

WACV 2023 PatchZero: Defending Against Adversarial Patch Attacks by Detecting and Zeroing the Patch Ke Xu, Yao Xiao, Zhaoheng Zheng, Kaijie Cai, Ram Nevatia

ICCV 2023 Referring Image Segmentation Using Text Supervision Fang Liu, Yuhao Liu, Yuqiu Kong, Ke Xu, Lihe Zhang, Baocai Yin, Gerhard Hancke, Rynson Lau

ICML 2023 SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu

ICCV 2023 SYENet: A Simple yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device Weiran Gou, Ziyao Yi, Yan Xiang, Shaoqing Li, Zibin Liu, Dehui Kong, Ke Xu

ICCV 2023 Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence Han Fang, Jiyi Zhang, Yupeng Qiu, Jiayang Liu, Ke Xu, Chengfang Fang, Ee-Chien Chang

IJCAI 2022 A Simple yet Effective Method for Graph Classification Junran Wu, Shangzhe Li, Jianhao Li, Yicheng Pan, Ke Xu

CVPR 2022 Bi-Directional Object-Context Prioritization Learning for Saliency Ranking Xin Tian, Ke Xu, Xin Yang, Lin Du, Baocai Yin, Rynson W.H. Lau

ECCV 2022 CoupleFace: Relation Matters for Face Recognition Distillation Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu

IJCAI 2022 Document-Level Relation Extraction via Subgraph Reasoning Xingyu Peng, Chong Zhang, Ke Xu

MLJ 2022 Dual-Domain Graph Convolutional Networks for Skeleton-Based Action Recognition Shuo Chen, Ke Xu, Zhongjie Mi, Xinghao Jiang, Tanfeng Sun

ICLR 2022 Exploring Memorization in Adversarial Training Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu

NeurIPS 2022 Geometry-Aware Two-Scale PIFu Representation for Human Reconstruction Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson Lau

ECCV 2022 Harmonizer: Learning to Perform White-Box Image and Video Harmonization Zhanghan Ke, Chunyi Sun, Lei Zhu, Ke Xu, Rynson W.H. Lau

CVPR 2022 ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-High Resolution Segmentation Shaohua Guo, Liang Liu, Zhenye Gan, Yabiao Wang, Wuhao Zhang, Chengjie Wang, Guannan Jiang, Wei Zhang, Ran Yi, Lizhuang Ma, Ke Xu

ECCVW 2022 Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Ziyao Yi, Yan Xiang, Zibin Liu, Shaoqing Li, Keming Shi, Dehui Kong, Ke Xu, Minsu Kwon, Yaqi Wu, Jiesi Zheng, Zhihao Fan, Xun Wu, Feng Zhang, Albert No, Minhyeok Cho, Zewen Chen, Xiaze Zhang, Ran Li, Juan Wang, Zhiming Wang, Marcos V. Conde, Ui-Jin Choi, Georgy Perevozchikov, Egor I. Ershov, Zheng Hui, Mengchuan Dong, Xin Lou, Wei Zhou, Cong Pang, Haina Qin, Mingxuan Cai

ECCV 2022 Local Color Distributions Prior for Image Enhancement Haoyuan Wang, Ke Xu, Rynson W.H. Lau

IJCAI 2022 MultiQuant: Training Once for Multi-Bit Quantization of Neural Networks Ke Xu, Qiantai Feng, Xingyi Zhang, Dong Wang

ECCV 2022 OneFace: One Threshold for All Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu

UAI 2022 Research on Video Adversarial Attack with Long Living Cycle Zeyu Zhao, Ke Xu, Xinghao Jiang, Tanfeng Sun

CVPR 2022 Rethinking Efficient Lane Detection via Curve Modeling Zhengyang Feng, Shaohua Guo, Xin Tan, Ke Xu, Min Wang, Lizhuang Ma

IJCAI 2022 SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image Yankai Jiang, Ke Xu, Xinyue Wang, Yuan Li, Hongguang Cui, Yubo Tao, Hai Lin

ICML 2022 Structural Entropy Guided Graph Hierarchical Pooling Junran Wu, Xueyuan Chen, Ke Xu, Shangzhe Li

AAAI 2021 Incorporating Curiosity into Personalized Ranking for Collaborative Filtering (Student Abstract) Qiqi Ding, Yi Cai, Ke Xu, Huakui Zhang

ICCV 2021 Location-Aware Single Image Reflection Removal Zheng Dong, Ke Xu, Yin Yang, Hujun Bao, Weiwei Xu, Rynson W.H. Lau

ICCV 2021 Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting Lei Zhu, Ke Xu, Zhanghan Ke, Rynson W.H. Lau

AAAI 2021 Self-Attention Attribution: Interpreting Information Interactions Inside Transformer Yaru Hao, Li Dong, Furu Wei, Ke Xu

NeurIPS 2020 BERT Loses Patience: Fast and Robust Inference with Early Exit Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian McAuley, Ke Xu, Furu Wei

AAAI 2020 Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models Wangchunshu Zhou, Ke Xu

IJCAI 2020 Relation-Aware Transformer for Portfolio Policy Learning Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan

ICLR 2020 Self-Adversarial Learning with Comparative Discrimination for Text Generation Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou

NeurIPS 2018 Active Matting Xin Yang, Ke Xu, Shaozhe Chen, Shengfeng He, Baocai Yin Yin, Rynson Lau

AAAI 2018 Solving Generalized Column Subset Selection with Heuristic Search Swair Shah, Baokun He, Ke Xu, Crystal Maung, Haim Schweitzer

AAAI 2017 Cleaning the Null Space: A Privacy Mechanism for Predictors Ke Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer

AAAI 2017 Enhancing the Privacy of Predictors Ke Xu, Swair Shah, Tongyi Cao, Crystal Maung, Haim Schweitzer

JAIR 2016 An Exact Algorithm Based on MaxSAT Reasoning for the Maximum Weight Clique Problem Zhiwen Fang, Chu-Min Li, Ke Xu

NeurIPS 2016 Learning Influence Functions from Incomplete Observations Xinran He, Ke Xu, David Kempe, Yan Liu

AAAI 2016 Unsupervised Feature Selection by Heuristic Search with Provable Bounds on Suboptimality Hiromasa Arai, Crystal Maung, Ke Xu, Haim Schweitzer

AAAI 2016 Weighted A* Algorithms for Unsupervised Feature Selection with Provable Bounds on Suboptimality Hiromasa Arai, Ke Xu, Crystal Maung, Haim Schweitzer

IJCAI 2015 A Hybrid Neural Model for Type Classification of Entity Mentions Li Dong, Furu Wei, Hong Sun, Ming Zhou, Ke Xu

AAAI 2014 Adaptive Multi-Compositionality for Recursive Neural Models with Applications to Sentiment Analysis Li Dong, Furu Wei, Ming Zhou, Ke Xu

AAAI 2013 The Automated Acquisition of Suggestions from Tweets Li Dong, Furu Wei, Yajuan Duan, Xiaohua Liu, Ming Zhou, Ke Xu

AAAI 2011 Exact Phase Transitions and Approximate Algorithm of #CSP Ping Huang, Minghao Yin, Ke Xu

IJCAI 2011 Large Hinge Width on Sparse Random Hypergraphs Tian Liu, Xiaxiang Lin, Chaoyi Wang, Kaile Su, Ke Xu

AAAI 2005 A Domain-Independent System for Case-Based Task Decomposition Without Domain Theories Ke Xu, Héctor Muñoz-Avila

IJCAI 2005 A Simple Model to Generate Hard Satisfiable Instances Ke Xu, Frédéric Boussemart, Fred Hemery, Christophe Lecoutre

AAAI 2004 CaBMA: Case-Based Project Management Assistant Ke Xu, Héctor Muñoz-Avila

JAIR 2000 Exact Phase Transitions in Random Constraint Satisfaction Problems Ke Xu, Wei Li