| 2026 | AAAI | TaxReasoning: Benchmarking Knowledge-Intensive Mathematical Reasoning with Evolving Tax Laws. | Nan Hu, Yike Wu, Jiaye Li, Huikang Hu, Guilin Qi, Songlin Zhai, Yongrui Chen, Tianxing Wu, Tongtong Wu, Jiaoyan Chen, Jeff Z. Pan |
| 2026 | ACL | StratMem-Bench: Evaluating Strategic Memory Use in Virtual Character Conversation Beyond Factual Recall. | Yerong Wu, Tianxing Wu, Minghao Zhu, Hangyu Sha, Haofen Wang |
| 2026 | SIGIR | Multi-Faceted Continual Knowledge Graph Embedding for Semantic-Aware Link Prediction. | Jing Qi, Yuxiang Wang, Zhiyuan Yu, Xiaoliang Xu, Yuanshi Zheng, Tianxing Wu |
| 2025 | DASFAA | STM: A Spatio-Temporal Model for Dynamic Graph Fraud Detection. | Yuxiang Wang, Runhuai Chen, Bin Chen, Zhiyuan Yu, Yuxiang Wang, Tianxing Wu |
| 2025 | EDBT | Unifying Large Language Models and Knowledge Graphs for Question Answering: Recent Advances and Opportunities. | Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang |
| 2025 | EMNLP | Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities. | Chuangtao Ma, Yongrui Chen, Tianxing Wu, Arijit Khan, Haofen Wang |
| 2025 | IJCAI | City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data. | Tianxing Wu, Lizhe Cao, Shuang Wang, Jiming Wang, Shutong Zhu, Yerong Wu, Yuqing Feng |
| 2025 | IJCAI | ARMR: Adaptively Responsive Network for Medication Recommendation. | Feiyue Wu, Tianxing Wu, Shenqi Jing |
| 2025 | VLDB | LLM+Graph: 2nd International Workshop on Data Management Opportunities in Bringing LLMs with Graph Data. | Yixiang Fang, Arijit Khan, Tianxing Wu, Da Yan |
| 2024 | CIKM | Fast Human Action Recognition via Millimeter Wave Radar Point Cloud Sequences Learning. | Tongfei Shao, Zheyu Du, Chuanyou Li, Tianxing Wu, Meng Wang |
| 2024 | COMPSAC | Sequential Recommendation with Temporal Influence Based on Hawkes Process. | Peiji Yu, Tianxing Wu, Dongjing Wang, Dengwei Xu |
| 2024 | CVPR | VideoBooth: Diffusion-based Video Generation with Image Prompts. | Yuming Jiang, Tianxing Wu, Shuai Yang, Chenyang Si, Dahua Lin, Yu Qiao, Chen Change Loy, Ziwei Liu |
| 2024 | CVPR | VBench: Comprehensive Benchmark Suite for Video Generative Models. | Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, Yuming Jiang, Yuanhan Zhang, Tianxing Wu, Qingyang Jin, Nattapol Chanpaisit, Yaohui Wang, Xinyuan Chen, Limin Wang, Dahua Lin, Yu Qiao, Ziwei Liu |
| 2024 | ECCV | FreeInit: Bridging Initialization Gap in Video Diffusion Models. | Tianxing Wu, Chenyang Si, Yuming Jiang, Ziqi Huang, Ziwei Liu |
| 2024 | ICDE | Scalable Community Search with Accuracy Guarantee on Attributed Graphs. | Yuxiang Wang, Shuzhan Ye, Xiaoliang Xu, Yuxia Geng, Zhenghe Zhao, Xiangyu Ke, Tianxing Wu |
| 2024 | SIGIR | Scalable Community Search over Large-scale Graphs based on Graph Transformer. | Yuxiang Wang, Xiaoxuan Gou, Xiaoliang Xu, Yuxia Geng, Xiangyu Ke, Tianxing Wu, Zhiyuan Yu, Runhuai Chen, Xiangying Wu |
| 2024 | SIGIR | unKR: A Python Library for Uncertain Knowledge Graph Reasoning by Representation Learning. | Jingting Wang, Tianxing Wu, Shilin Chen, Yunchang Liu, Shutong Zhu, Wei Li, Jingyi Xu, Guilin Qi |
| 2024 | VLDB | LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs. | Arijit Khan, Tianxing Wu, Xi Chen |
| 2024 | SiggraphA | ReVersion: Diffusion-Based Relation Inversion from Images. | Ziqi Huang, Tianxing Wu, Yuming Jiang, Kelvin C. K. Chan, Ziwei Liu |
| 2023 | ACL | CoMave: Contrastive Pre-training with Multi-scale Masking for Attribute Value Extraction. | Xinnan Guo, Wentao Deng, Yongrui Chen, Yang Li, Mengdi Zhou, Guilin Qi, Tianxing Wu, Dong Yang, Liubin Wang, Yong Pan |
| 2023 | CVPR | Detecting and Grounding Multi-Modal Media Manipulation. | Rui Shao, Tianxing Wu, Ziwei Liu |
| 2023 | ECAI | Effective and Efficient Community Search with Graph Embeddings. | Xiaoxuan Gou, Xiaoliang Xu, Xiangying Wu, Runhuai Chen, Yuxiang Wang, Tianxing Wu, Xiangyu Ke |
| 2022 | ECCV | Detecting and Recovering Sequential DeepFake Manipulation. | Rui Shao, Tianxing Wu, Ziwei Liu |
| 2022 | IJCAI | Improving Few-Shot Text-to-SQL with Meta Self-Training via Column Specificity. | Xinnan Guo, Yongrui Chen, Guilin Qi, Tianxing Wu, Hao Xu |
| 2021 | DASFAA | Gaussian Metric Learning for Few-Shot Uncertain Knowledge Graph Completion. | Jiatao Zhang, Tianxing Wu, Guilin Qi |
| 2020 | ICDE | Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs. | Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan |
| 2019 | DASFAA | Adversarial Discriminative Denoising for Distant Supervision Relation Extraction. | Bing Liu, Huan Gao, Guilin Qi, Shangfu Duan, Tianxing Wu, Meng Wang |
| 2019 | IJCNN | Incorporating Human Knowledge in Neural Relation Extraction with Reinforcement Learning. | Bing Liu, Guilin Qi, Lu Pan, Shangfu Duan, Tianxing Wu |
| 2016 | AAAI | Cross-Lingual Taxonomy Alignment with Bilingual Biterm Topic Model. | Tianxing Wu, Guilin Qi, Haofen Wang, Kang Xu, Xuan Cui |
| 2016 | ECAI | A Joint Model for Sentiment-Aware Topic Detection on Social Media. | Kang Xu, Guilin Qi, Junheng Huang, Tianxing Wu |