Liu, Xudong

21 publications

CVPR 2025 DFM: Differentiable Feature Matching for Anomaly Detection Sheng Wu, Yimi Wang, Xudong Liu, Yuguang Yang, Runqi Wang, Guodong Guo, David Doermann, Baochang Zhang

NeurIPS 2025 Glance2Gaze: Efficient Vision-Language Models from Glance Fusion to Gaze Compression Juan Chen, Honglin Liu, Yingying Ao, Ting Zhang, Yan Huang, Xudong Liu, Biao Li, Jintao Fang

AAAI 2025 IOP: An Idempotent-like Optimization Method on the Pareto Front of Hypernetwork Hui Wang, Renyu Yang, Jie Sun, Hao Peng, Xudong Mou, Tianyu Wo, Xudong Liu

AAAI 2024 Code-Style In-Context Learning for Knowledge-Based Question Answering Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu

CVPR 2024 LEOD: Label-Efficient Object Detection for Event Cameras Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski

CVPR 2024 SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation Kejia Yin, Varshanth Rao, Ruowei Jiang, Xudong Liu, Parham Aarabi, David B. Lindell

ICCV 2023 Cross-View Semantic Alignment for Livestreaming Product Recognition Wenjie Yang, Yiyi Chen, Yan Li, Yanhua Cheng, Xudong Liu, Quan Chen, Han Li

CVPR 2023 High-Fidelity Clothed Avatar Reconstruction from a Single Image Tingting Liao, Xiaomei Zhang, Yuliang Xiu, Hongwei Yi, Xudong Liu, Guo-Jun Qi, Yong Zhang, Xuan Wang, Xiangyu Zhu, Zhen Lei

AAAI 2022 Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives Yanzhao Zhang, Richong Zhang, Samuel Mensah, Xudong Liu, Yongyi Mao

AAAI 2021 Clustering Partial Lexicographic Preference Trees (Student Abstract) Joseph Allen, Xudong Liu, Karthikeyan Umapathy, Sandeep Reddivari

IJCAI 2021 MG-DVD: A Real-Time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning Chen Liu, Bo Li, Jun Zhao, Ming Su, Xudong Liu

AAAI 2021 Measuring Vegetation Density in Marsh Grass Photographs Using Deep Neural Networks (Student Abstract) Lucas Welch, Xudong Liu

AAAI 2021 Progressive Multi-Task Learning with Controlled Information Flow for Joint Entity and Relation Extraction Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu

ICCVW 2021 Sparse Feature Representation Learning for Deep Face Gender Transfer Xudong Liu, Ruizhe Wang, Hao Peng, Minglei Yin, Chih-Fan Chen, Xin Li

IJCAI 2020 Multivariate Probability Calibration with Isotonic Bernstein Polynomials Yongqiao Wang, Xudong Liu

AAAI 2020 Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph Kai Sun, Richong Zhang, Yongyi Mao, Samuel Mensah, Xudong Liu

IJCAI 2020 Structured Probabilistic End-to-End Learning from Crowds Zhijun Chen, Huimin Wang, Hailong Sun, Pengpeng Chen, Tao Han, Xudong Liu, Jie Yang

CVPRW 2019 Understanding Beauty via Deep Facial Features Xudong Liu, Tao Li, Hao Peng, Iris Chuoying Ouyang, Taehwan Kim, Ruizhe Wang

IJCAI 2016 Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition Tao Han, Hailong Sun, Yangqiu Song, Yili Fang, Xudong Liu

AAAI 2015 Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews Heting Wu, Hailong Sun, Yili Fang, Kefan Hu, Yongqing Xie, Yangqiu Song, Xudong Liu

AAAI 2015 Learning Partial Lexicographic Preference Trees over Combinatorial Domains Xudong Liu, Miroslaw Truszczynski