Tianxiang Zhao

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 43

Top Topics

Graph Structure

Global Consistency

Top Venues

Publications

Weijieying Ren, Xinlong Li, Lei Wang, Tianxiang Zhao, Wei Qin
Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning. CoRR (2024)
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
Interpretable Imitation Learning with Dynamic Causal Relations. WSDM (2024)
Fali Wang, Tianxiang Zhao, Suhang Wang
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels. CoRR (2024)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. CoRR (2024)
Quan Li, Tianxiang Zhao, Lingwei Chen, Junjie Xu, Suhang Wang
Enhancing Data-Limited Graph Neural Networks by Actively Distilling Knowledge from Large Language Models. CoRR (2024)
Fali Wang, Tianxiang Zhao, Suhang Wang
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels. WSDM (2024)
Kedi Qiu, Shoudong Shi, Tianxiang Zhao, Yongfang Ye
SCFormer: A Vision Transformer with Split Channel in Sitting Posture Recognition. MMM (1) (2024)
Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang
Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Fali Wang, Tianxiang Zhao, Junjie Xu, Suhang Wang
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training. CoRR (2024)
Tianxiang Zhao, Xiang Zhang, Suhang Wang
Disambiguated Node Classification with Graph Neural Networks. WWW (2024)
Tianxiang Zhao, Xiang Zhang, Suhang Wang
Disambiguated Node Classification with Graph Neural Networks. CoRR (2024)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. KDD (2024)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. CoRR (2023)
Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data. CoRR (2023)
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. KDD (2023)
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. CoRR (2023)
Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
Dynamic DAG Discovery for Interpretable Imitation Learning. CoRR (2023)
Huaisheng Zhu, Xianfeng Tang, Tianxiang Zhao, Suhang Wang
You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network. PAKDD (2) (2023)
Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data. CIKM (2023)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Towards Faithful and Consistent Explanations for Graph Neural Networks. WSDM (2023)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Tianxiang Zhao, Xiang Zhang, Suhang Wang
Exploring Edge Disentanglement for Node Classification. CoRR (2022)
Tianxiang Zhao, Xiang Zhang, Suhang Wang
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks. CoRR (2022)
Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao
Explanation Guided Contrastive Learning for Sequential Recommendation. CIKM (2022)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
On Consistency in Graph Neural Network Interpretation. CoRR (2022)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
TopoImb: Toward Topology-Level Imbalance in Learning From Graphs. LoG (2022)
Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao
Explanation Guided Contrastive Learning for Sequential Recommendation. CoRR (2022)
Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features. WSDM (2022)
Yuhe Zhao, Minyu Wang, Tianxiang Zhao, Yi Luo, Yuhan Li, Kai Yan, Lei Lu, Ngoc Nguyen Tran, Xiaodan Wu, Xuanlong Ma
Evaluating the potential of H8/AHI geostationary observations for monitoring vegetation phenology over different ecosystem types in northern China. Int. J. Appl. Earth Obs. Geoinformation 112 (2022)
Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability. CoRR (2022)
Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
TopoImb: Toward Topology-level Imbalance in Learning from Graphs. CoRR (2022)
Tianxiang Zhao, Xiang Zhang, Suhang Wang
Exploring Edge Disentanglement for Node Classification. WWW (2022)
Yuqing Hu, Xiaoyuan Cheng, Suhang Wang, Jianli Chen, Tianxiang Zhao, Enyan Dai
Times Series Forecasting for Urban Building Energy Consumption Based on Graph Convolutional Network. CoRR (2021)
Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
Semi-Supervised Graph-to-Graph Translation. CoRR (2021)
Tianxiang Zhao, Xiang Zhang, Suhang Wang
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. CoRR (2021)
Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
You Can Still Achieve Fairness Without Sensitive Attributes: Exploring Biases in Non-Sensitive Features. CoRR (2021)
Weijeiying Ren, Kunpeng Liu, Tianxiang Zhao, Yanjie Fu
Fair and Effective Policing for Neighborhood Safety: Understanding and Overcoming Selection Biases. Frontiers Big Data 4 (2021)
Tianxiang Zhao, Xiang Zhang, Suhang Wang
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. WSDM (2021)
Tianxiang Zhao, Lemao Liu, Guoping Huang, Huayang Li, Yingling Liu, Guiquan Liu, Shuming Shi
Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation. AAAI (2020)
Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
Semi-Supervised Graph-to-Graph Translation. CIKM (2020)
Amogh Subbakrishna Adishesha, Tianxiang Zhao
Emotion Embedded Pose Generation. ECCV Workshops (1) (2020)
Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen
Zero-Shot Learning: An Energy Based Approach. ICDM (2018)
Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen
Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. ICDM (2018)