Tianxiang Zhao

According to our database, Tianxiang Zhao authored at least 28 papers between 2018 and 2024.

Collaborative distances:

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

2024

Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning.

Weijieying Ren, Xinlong Li, Lei Wang, Tianxiang Zhao, Wei Qin

CoRR, 2024

Disambiguated Node Classification with Graph Neural Networks.

Tianxiang Zhao, Xiang Zhang, Suhang Wang

CoRR, 2024

Interpretable Imitation Learning with Dynamic Causal Relations.

Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels.

Fali Wang, Tianxiang Zhao, Suhang Wang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

SCFormer: A Vision Transformer with Split Channel in Sitting Posture Recognition.

Kedi Qiu, Shoudong Shi, Tianxiang Zhao, Yongfang Ye

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023

Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment.

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

ACM Trans. Intell. Syst. Technol., October, 2023

Dynamic DAG Discovery for Interpretable Imitation Learning.

Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen

CoRR, 2023

Towards Faithful and Consistent Explanations for Graph Neural Networks.

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network.

Huaisheng Zhu, Xianfeng Tang, Tianxiang Zhao, Suhang Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations.

Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data.

Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks.

Tianxiang Zhao, Xiang Zhang, Suhang Wang

CoRR, 2022

On Consistency in Graph Neural Network Interpretation.

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

CoRR, 2022

A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability.

Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang

CoRR, 2022

Evaluating the potential of H8/AHI geostationary observations for monitoring vegetation phenology over different ecosystem types in northern China.

Yuhe Zhao, Minyu Wang, Tianxiang Zhao, Yi Luo, Yuhan Li, Kai Yan, Lei Lu, Ngoc Nguyen Tran, Xiaodan Wu, Xuanlong Ma

Int. J. Appl. Earth Obs. Geoinformation, 2022

Exploring Edge Disentanglement for Node Classification.

Tianxiang Zhao, Xiang Zhang, Suhang Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features.

Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

TopoImb: Toward Topology-Level Imbalance in Learning From Graphs.

Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

Proceedings of the Learning on Graphs Conference, 2022

Explanation Guided Contrastive Learning for Sequential Recommendation.

Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Fair and Effective Policing for Neighborhood Safety: Understanding and Overcoming Selection Biases.

Weijieying Ren, Kunpeng Liu, Tianxiang Zhao, Yanjie Fu

Frontiers Big Data, 2021

Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network.

Yuqing Hu, Xiaoyuan Cheng, Suhang Wang, Jianli Chen, Tianxiang Zhao, Enyan Dai

CoRR, 2021

You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features.

Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang

CoRR, 2021

GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks.

Tianxiang Zhao, Xiang Zhang, Suhang Wang

Proceedings of the WSDM '21, 2021

2020

Emotion Embedded Pose Generation.

Amogh Subbakrishna Adishesha, Tianxiang Zhao

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Semi-Supervised Graph-to-Graph Translation.

Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation.

Tianxiang Zhao, Lemao Liu, Guoping Huang, Huayang Li, Yingling Liu, Guiquan Liu, Shuming Shi

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

2018

Zero-Shot Learning: An Energy Based Approach.

Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2018

Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach.

Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2018