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Haifeng Xia
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2020 – today
- 2024
- [j8]Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding:
Marginalized Augmented Few-Shot Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12459-12469 (2024) - [c22]Haifeng Xia, Siyu Xia, Zhengming Ding:
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation. CVPR 2024: 23648-23658 - [c21]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: 1-5 - [c20]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: 1-10 - [c19]Tianyong Wang, Xiangyu Liang, Wangguandong Zheng, Dan Niu, Haifeng Xia, Siyu Xia:
Embedded Representation Learning Network for Animating Styled Video Portrait. FG 2024: 1-9 - [c18]Yinjie Zhang, Ming Shao, Wenlong Shi, Haifeng Xia, Siyu Xia:
Autonomous Generative Feature Replay for Non-Exemplar Class-Incremental Learning. ICASSP 2024: 5760-5764 - [c17]Wangguandong Zheng, Haifeng Xia, Rui Chen, Libo Sun, Ming Shao, Siyu Xia, Zhengming Ding:
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation. ACM Multimedia 2024: 3617-3626 - [c16]Kang Shen, Haifeng Xia, Guangxing Geng, Guangyue Geng, Siyu Xia, Zhengming Ding:
DEITalk: Speech-Driven 3D Facial Animation with Dynamic Emotional Intensity Modeling. ACM Multimedia 2024: 10506-10514 - [i8]Wangguandong Zheng, Haifeng Xia, Rui Chen, Ming Shao, Siyu Xia, Zhengming Ding:
Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation. CoRR abs/2404.01843 (2024) - [i7]Haifeng Xia, Hai Huang, Zhengming Ding:
GCC: Generative Calibration Clustering. CoRR abs/2404.09115 (2024) - [i6]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 abs/2404.18604 (2024) - [i5]Tianyong Wang, Xiangyu Liang, Wangguandong Zheng, Dan Niu, Haifeng Xia, Siyu Xia:
Embedded Representation Learning Network for Animating Styled Video Portrait. CoRR abs/2404.19038 (2024) - [i4]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 abs/2404.19383 (2024) - 2023
- [j7]Haifeng Xia, Taotao Jing, Zhengming Ding:
Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3434-3445 (2023) - [j6]Haifeng Xia, Taotao Jing, Zhengming Ding:
Generative Inference Network for Imbalanced Domain Generalization. IEEE Trans. Image Process. 32: 1694-1704 (2023) - [c15]Haifeng Xia, Kai Li, Zhengming Ding:
Personalized Semantics Excitation for Federated Image Classification. ICCV 2023: 19244-19253 - [c14]Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding:
Few-Shot Video Classification via Representation Fusion and Promotion Learning. ICCV 2023: 19254-19263 - 2022
- [j5]Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding:
Augmented Multimodality Fusion for Generalized Zero-Shot Sketch-Based Visual Retrieval. IEEE Trans. Image Process. 31: 3657-3668 (2022) - [c13]Haifeng Xia, Zhengming Ding:
Cross-Domain Collaborative Normalization via Structural Knowledge. AAAI 2022: 2777-2785 - [c12]Haifeng Xia, Pu Wang, Zhengming Ding:
Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer. ECCV (34) 2022: 200-217 - [c11]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: 370-387 - [c10]Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding:
Adversarial Bi-Regressor Network for Domain Adaptive Regression. IJCAI 2022: 3608-3614 - [i3]Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding:
Adversarial Bi-Regressor Network for Domain Adaptive Regression. CoRR abs/2209.09943 (2022) - 2021
- [j4]Zengmao Wang, Haifeng Xia, Shuai Chen, Gang Chun:
Joint representation learning with ratings and reviews for recommendation. Neurocomputing 425: 181-190 (2021) - [c9]Haifeng Xia, Handong Zhao, Zhengming Ding:
Adaptive Adversarial Network for Source-free Domain Adaptation. ICCV 2021: 8990-8999 - [c8]Haifeng Xia, Taotao Jing, Chen Chen, Zhengming Ding:
Semi-supervised Domain Adaptive Retrieval via Discriminative Hashing Learning. ACM Multimedia 2021: 3853-3861 - 2020
- [j3]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: 38-45 (2020) - [j2]Hongmei Chi, Haifeng Xia, Lifang Zhang, Chunjiang Zhang, Xin Tang:
Competitive and collaborative representation for classification. Pattern Recognit. Lett. 132: 46-55 (2020) - [c7]Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding:
Bi-Directional Generation for Unsupervised Domain Adaptation. AAAI 2020: 6615-6622 - [c6]Haifeng Xia, Zhengming Ding:
Structure Preserving Generative Cross-Domain Learning. CVPR 2020: 4363-4372 - [c5]Haifeng Xia, Zhengming Ding:
HGNet: Hybrid Generative Network for Zero-Shot Domain Adaptation. ECCV (27) 2020: 55-70 - [c4]Taotao Jing, Haifeng Xia, Zhengming Ding:
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation. ACM Multimedia 2020: 1606-1614 - [i2]Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding:
Bi-Directional Generation for Unsupervised Domain Adaptation. CoRR abs/2002.04869 (2020) - [i1]Taotao Jing, Haifeng Xia, Zhengming Ding:
Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation. CoRR abs/2008.11873 (2020)
2010 – 2019
- 2019
- [c3]Haifeng Xia, Zengmao Wang, Bo Du, Lefei Zhang, Shuai Chen, Gang Chun:
Leveraging Ratings and Reviews with Gating Mechanism for Recommendation. CIKM 2019: 1573-1582 - [c2]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: 1048-1053 - 2018
- [j1]Hongmei Chi, Haifeng Xia, Xin Tang, Yinghao Zhang, Xiaofen Xia:
Supervised neighborhood regularized collaborative representation for face recognition. Multim. Tools Appl. 77(22): 29509-29529 (2018) - 2016
- [c1]Hong Chen, Haifeng Xia, Heng Huang, Weidong Cai:
Error Analysis of Generalized Nyström Kernel Regression. NIPS 2016: 2541-2549
Coauthor Index
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last updated on 2024-11-07 20:32 CET by the dblp team
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