Haifeng Xia

According to our database, Haifeng Xia authored at least 22 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Maximum Structural Generation Discrepancy for Unsupervised Domain Adaptation.

Haifeng Xia, Taotao Jing, Zhengming Ding

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Generative Inference Network for Imbalanced Domain Generalization.

Haifeng Xia, Taotao Jing, Zhengming Ding

IEEE Trans. Image Process., 2023

Few-Shot Video Classification via Representation Fusion and Promotion Learning.

Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Personalized Semantics Excitation for Federated Image Classification.

Haifeng Xia, Kai Li, Zhengming Ding

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Augmented Multimodality Fusion for Generalized Zero-Shot Sketch-Based Visual Retrieval.

Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding

IEEE Trans. Image Process., 2022

Adversarial Bi-Regressor Network for Domain Adaptive Regression.

Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer.

Haifeng Xia, Pu Wang, Zhengming Ding

Proceedings of the Computer Vision - ECCV 2022, 2022

InAction: Interpretable Action Decision Making for Autonomous Driving.

Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua E. Domeyer, Rini Sherony, Zhengming Ding

Proceedings of the Computer Vision - ECCV 2022, 2022

Cross-Domain Collaborative Normalization via Structural Knowledge.

Haifeng Xia, Zhengming Ding

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Joint representation learning with ratings and reviews for recommendation.

Zengmao Wang, Haifeng Xia, Shuai Chen, Gang Chun

Neurocomputing, 2021

Semi-supervised Domain Adaptive Retrieval via Discriminative Hashing Learning.

Haifeng Xia, Taotao Jing, Chen Chen, Zhengming Ding

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Adaptive Adversarial Network for Source-free Domain Adaptation.

Haifeng Xia, Handong Zhao, Zhengming Ding

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Embedded conformal deep low-rank auto-encoder network for matrix recovery.

Haifeng Xia, Guocan Feng, Jia-xin Cai, Xin Tang, Hongmei Chi

Pattern Recognit. Lett., 2020

Competitive and collaborative representation for classification.

Hongmei Chi, Haifeng Xia, Lifang Zhang, Chunjiang Zhang, Xin Tang

Pattern Recognit. Lett., 2020

Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation.

Taotao Jing, Haifeng Xia, Zhengming Ding

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

HGNet: Hybrid Generative Network for Zero-Shot Domain Adaptation.

Haifeng Xia, Zhengming Ding

Proceedings of the Computer Vision - ECCV 2020, 2020

Structure Preserving Generative Cross-Domain Learning.

Haifeng Xia, Zhengming Ding

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Bi-Directional Generation for Unsupervised Domain Adaptation.

Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation.

Rong Gao, Haifeng Xia, Jing Li, Donghua Liu, Shuai Chen, Gang Chun

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Leveraging Ratings and Reviews with Gating Mechanism for Recommendation.

Haifeng Xia, Zengmao Wang, Bo Du, Lefei Zhang, Shuai Chen, Gang Chun

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Supervised neighborhood regularized collaborative representation for face recognition.

Hongmei Chi, Haifeng Xia, Xin Tang, Yinghao Zhang, Xiaofen Xia

Multim. Tools Appl., 2018

2016

Error Analysis of Generalized Nyström Kernel Regression.

Hong Chen, Haifeng Xia, Heng Huang, Weidong Cai

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016