Haifeng Xia

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 34

Top Topics

Domain Adaptation

Top Venues

Publications

Wangguandong Zheng, Haifeng Xia, Rui Chen, Ming Shao, Siyu Xia, Zhengming Ding
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation. CoRR (2024)
Xiangyu Liang, Wenlin Zhuang, Tianyong Wang, Guangxing Geng, Guangyue Geng, Haifeng Xia, Siyu Xia
CSTalk: Correlation Supervised Speech-driven 3D Emotional Facial Animation Generation. CoRR (2024)
Xiangyu Liang, Wenlin Zhuang, Tianyong Wang, Guangxing Geng, Guangyue Geng, Haifeng Xia, Siyu Xia
CSTalk: Correlation Supervised Speech-driven 3D Emotional Facial Animation Generation. FG (2024)
Zhendong Liu, Haifeng Xia, Tong Guo, Libo Sun, Ming Shao, Siyu Xia
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition. CoRR (2024)
Tianyong Wang, Xiangyu Liang, Wangguandong Zheng, Dan Niu, Haifeng Xia, Siyu Xia
Embedded Representation Learning Network for Animating Styled Video Portrait. CoRR (2024)
Zhendong Liu, Haifeng Xia, Tong Guo, Libo Sun, Ming Shao, Siyu Xia
Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition. FG (2024)
Tianyong Wang, Xiangyu Liang, Wangguandong Zheng, Dan Niu, Haifeng Xia, Siyu Xia
Embedded Representation Learning Network for Animating Styled Video Portrait. FG (2024)
Haifeng Xia, Hai Huang, Zhengming Ding
GCC: Generative Calibration Clustering. CoRR (2024)
Yinjie Zhang, Ming Shao, Wenlong Shi, Haifeng Xia, Siyu Xia
Autonomous Generative Feature Replay for Non-Exemplar Class-Incremental Learning. ICASSP (2024)
Haifeng Xia, Kai Li, Zhengming Ding
Personalized Semantics Excitation for Federated Image Classification. ICCV (2023)
Haifeng Xia, Taotao Jing, Zhengming Ding
Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding
Few-Shot Video Classification via Representation Fusion and Promotion Learning. ICCV (2023)
Haifeng Xia, Taotao Jing, Zhengming Ding
Generative Inference Network for Imbalanced Domain Generalization. IEEE Trans. Image Process. 32 (2023)
Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua E. Domeyer, Rini Sherony, Zhengming Ding
InAction: Interpretable Action Decision Making for Autonomous Driving. ECCV (38) (2022)
Haifeng Xia, Zhengming Ding
Cross-Domain Collaborative Normalization via Structural Knowledge. AAAI (2022)
Haifeng Xia, Pu Wang, Zhengming Ding
Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer. ECCV (34) (2022)
Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding
Adversarial Bi-Regressor Network for Domain Adaptive Regression. CoRR (2022)
Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding
Augmented Multimodality Fusion for Generalized Zero-Shot Sketch-Based Visual Retrieval. IEEE Trans. Image Process. 31 (2022)
Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding
Adversarial Bi-Regressor Network for Domain Adaptive Regression. IJCAI (2022)
Haifeng Xia, Handong Zhao, Zhengming Ding
Adaptive Adversarial Network for Source-free Domain Adaptation. ICCV (2021)
Haifeng Xia, Taotao Jing, Chen Chen, Zhengming Ding
Semi-supervised Domain Adaptive Retrieval via Discriminative Hashing Learning. ACM Multimedia (2021)
Zengmao Wang, Haifeng Xia, Shuai Chen, Gang Chun
Joint representation learning with ratings and reviews for recommendation. Neurocomputing 425 (2021)
Haifeng Xia, Zhengming Ding
Structure Preserving Generative Cross-Domain Learning. CVPR (2020)
Haifeng Xia, Guocan Feng, Jia-xin Cai, Xin Tang, Hongmei Chi
Embedded conformal deep low-rank auto-encoder network for matrix recovery. Pattern Recognit. Lett. 132 (2020)
Haifeng Xia, Zhengming Ding
HGNet: Hybrid Generative Network for Zero-Shot Domain Adaptation. ECCV (27) (2020)
Taotao Jing, Haifeng Xia, Zhengming Ding
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation. CoRR (2020)
Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding
Bi-Directional Generation for Unsupervised Domain Adaptation. CoRR (2020)
Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding
Bi-Directional Generation for Unsupervised Domain Adaptation. AAAI (2020)
Hongmei Chi, Haifeng Xia, Lifang Zhang, Chunjiang Zhang, Xin Tang
Competitive and collaborative representation for classification. Pattern Recognit. Lett. 132 (2020)
Taotao Jing, Haifeng Xia, Zhengming Ding
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation. ACM Multimedia (2020)
Haifeng Xia, Zengmao Wang, Bo Du, Lefei Zhang, Shuai Chen, Gang Chun
Leveraging Ratings and Reviews with Gating Mechanism for Recommendation. CIKM (2019)
Rong Gao, Haifeng Xia, Jing Li, Donghua Liu, Shuai Chen, Gang Chun
DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation. ICDM (2019)
Hongmei Chi, Haifeng Xia, Xin Tang, Yinghao Zhang, Xiaofen Xia
Supervised neighborhood regularized collaborative representation for face recognition. Multim. Tools Appl. 77 (22) (2018)
Hong Chen, Haifeng Xia, Heng Huang, Weidong Cai
Error Analysis of Generalized Nyström Kernel Regression. NIPS (2016)