| 2026 | ACL | Graph of Trace: Visualizing Execution Traces of Scientific Agents. | Tianci Gao, Haoxuan Li, Jianhe Li, Tianxiang Zhao, Runze Shi, Weiran Wang, Zezhao Wu, Lu Mi |
| 2026 | ACL | Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations. | Haitong Luo, Fali Wang, Weiyao Zhang, Xianren Zhang, Zhiwei Zhang, Tianxiang Zhao, Minhua Lin, Jiahao Zhang, Hui Liu, Xianfeng Tang, Qi He, Suhang Wang, Xuying Meng, Yujun Zhang |
| 2025 | ACL | DiaLLMs: EHR-Enhanced Clinical Conversational System for Clinical Test Recommendation and Diagnosis Prediction. | Weijieying Ren, Tianxiang Zhao, Lei Wang, Tianchun Wang, Vasant G. Honavar |
| 2025 | CIKM | Towards Reliable GNNs: Adversarial Calibration Learning for Confidence Estimation. | Yilong Wang, Jiahao Zhang, Tianxiang Zhao, Suhang Wang |
| 2025 | ICASSP | Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning. | Xinlong Li, Weijieying Ren, Wei Qin, Lei Wang, Tianxiang Zhao, Richang Hong |
| 2025 | IJCNN | KSINet: Keypoint-Enhanced Single-Head Inference for Sitting Posture Recognition. | Yongheng Tai, Shoudong Shi, Shanshan Zhong, Ting Lan, Tianxiang Zhao, Kedi Qiu |
| 2025 | SMC | DPHNet: A Dynamic Parallel Hybrid Network for Sitting Posture Recognition. | Shanshan Zhong, Shoudong Shi, Yongheng Tai, Ting Lan, Tianxiang Zhao, Kedi Qiu |
| 2025 | WSDM | Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs. | Yilong Wang, Tianxiang Zhao, Zongyu Wu, Suhang Wang |
| 2024 | CIKM | HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training. | Fali Wang, Tianxiang Zhao, Junjie Xu, Suhang Wang |
| 2024 | IJCNN | Improved Attributed Graph Clustering with Representation and Structure Augmentation. | Jipeng Guo, Tengxiao Yin, Tianxiang Zhao, Jiayi Zhao, Yanfeng Sun, Junbin Gao, Youqing Wang |
| 2024 | IJCNN | FSMANet: Flash Shuffle Mix Attention Network for Human Sitting Posture Recognition. | Tianxiang Zhao, Shoudong Shi, Kedi Qiu, Yongfang Ye, Ting Lan |
| 2024 | KDD | Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. | Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang |
| 2024 | MMM | SCFormer: A Vision Transformer with Split Channel in Sitting Posture Recognition. | Kedi Qiu, Shoudong Shi, Tianxiang Zhao, Yongfang Ye |
| 2024 | WWW | Disambiguated Node Classification with Graph Neural Networks. | Tianxiang Zhao, Xiang Zhang, Suhang Wang |
| 2024 | WSDM | Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels. | Fali Wang, Tianxiang Zhao, Suhang Wang |
| 2024 | WSDM | 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 |
| 2023 | CIKM | T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data. | Weijieying Ren, Tianxiang Zhao, Wei Qin, Kunpeng Liu |
| 2023 | ICANN | Patches Channel Attention for Human Sitting Posture Recognition. | Yongfang Ye, Shoudong Shi, Tianxiang Zhao, Kedi Qiu, Ting Lan |
| 2023 | KDD | 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 |
| 2023 | PAKDD | You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network. | Huaisheng Zhu, Xianfeng Tang, Tianxiang Zhao, Suhang Wang |
| 2023 | WSDM | Towards Faithful and Consistent Explanations for Graph Neural Networks. | Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang |
| 2022 | CIKM | Explanation Guided Contrastive Learning for Sequential Recommendation. | Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao |
| 2022 | WWW | Exploring Edge Disentanglement for Node Classification. | Tianxiang Zhao, Xiang Zhang, Suhang Wang |
| 2022 | WSDM | Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features. | Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang |
| 2021 | WSDM | GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. | Tianxiang Zhao, Xiang Zhang, Suhang Wang |
| 2020 | AAAI | 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 |
| 2020 | CIKM | Semi-Supervised Graph-to-Graph Translation. | Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang |
| 2020 | ECCV | Emotion Embedded Pose Generation. | Amogh Subbakrishna Adishesha, Tianxiang Zhao |
| 2018 | ICDM | Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. | Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen |
| 2018 | ICDM | Zero-Shot Learning: An Energy Based Approach. | Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen |