| End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis L Xu, Q Zhou, K Gong, X Liang, J Tang, L Lin AAAI: The Thirty-Third AAAI Conference on Artificial Intelligence, 2019, 2019 | 153 | 2019 |
| Target-Guided Open-Domain Conversation J Tang, T Zhao, C Xiong, X Liang, EP Xing, Z Hu ACL: Annual meeting of the Association for Computational Linguistics, 2019, 2019 | 132 | 2019 |
| Rethinking Graph Neural Networks for Anomaly Detection J Tang, J Li, Z Gao, J Li ICML 2022, 2022 | 108 | 2022 |
| GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning J Chen, J Tang, J Qin, X Liang, L Liu, EP Xing, L Lin Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 | 54 | 2021 |
| Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks J Qin, X Liang, Y Hong, J Tang, L Lin Association for Computational Linguistics (ACL-IJCNLP) 2021, 2021 | 45 | 2021 |
| Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation S Lin, P Zhou, X Liang, J Tang, R Zhao, Z Chen, L Lin The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) 2021, 2020 | 43 | 2020 |
| Meddg: A large-scale medical consultation dataset for building medical dialogue system W Liu, J Tang, J Qin, L Xu, Z Li, X Liang | 42 | 2020 |
| Dynamic knowledge routing network for target-guided open-domain conversation J Qin, Z Ye, J Tang, X Liang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8657-8664, 2020 | 34 | 2020 |
| Heterogeneous graph reasoning for knowledge-grounded medical dialogue system W Liu, J Tang, X Liang, Q Cai Neurocomputing 442, 260-268, 2021 | 29 | 2021 |
| MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation W Liu, J Tang, Y Cheng, W Li, Y Zheng, X Liang CCF International Conference on Natural Language Processing and Chinese …, 2022 | 18 | 2022 |
| GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection J Tang, F Hua, Z Gao, P Zhao, J Li NeurIPS 2023, 2023 | 10 | 2023 |
| A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data J Li, J Tang, L Kong, H Liu, J Li, AMC So, J Blanchet ICLR 2023, 2023 | 10 | 2023 |
| Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport J Tang, W Zhang, J Li, K Zhao, F Tsung, J Li 39th IEEE International Conference on Data Engineering (ICDE) 2023, 2023 | 10 | 2023 |
| " My nose is running."" Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics W Liu, Y Cheng, H Wang, J Tang, Y Liu, R Zhao, W Li, Y Zheng, X Liang IJCAI 2022, 2022 | 9 | 2022 |
| Handling Missing Data via Max-Entropy Regularized Graph Autoencoder Z Gao, Y Niu, J Cheng, J Tang, T Xu, P Zhao, L Li, F Tsung, J Li AAAI 2023, 2022 | 8 | 2022 |
| A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment J Tang, K Zhao, J Li Findings of ACL 2023, 2023 | 6 | 2023 |
| Fast and provably convergent algorithms for gromov-wasserstein in graph learning J Li, J Tang, L Kong, H Liu, J Li, AMC So, J Blanchet arXiv preprint arXiv:2205.08115, 2022 | 3 | 2022 |
| Geometric Graph Learning for Protein Mutation Effect Prediction K Zhao, Y Rong, B Jiang, J Tang, H Zhang, JX Yu, P Zhao Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| Missing Data Imputation with Graph Laplacian Pyramid Network W Zhang, G Li, J Tang, J Li, F Tsung arXiv preprint arXiv:2304.04474, 2023 | 1 | 2023 |
| GraphWiz: An Instruction-Following Language Model for Graph Problems N Chen, Y Li, J Tang, J Li arXiv preprint arXiv:2402.16029, 2024 | | 2024 |
Xiaodan LiangAssociate Professor, Sun Yat-sen University, MBZUAI, CMU, NUSVerified email at mail2.sysu.edu.cn
