| Correlated neural activity and encoding of behavior across brains of socially interacting animals L Kingsbury, S Huang, J Wang, K Gu, P Golshani, YE Wu, W Hong Cell 178 (2), 429-446. e16, 2019 | 325 | 2019 |
| Learning-based efficient graph similarity computation via multi-scale convolutional set matching Y Bai, H Ding, K Gu, Y Sun, W Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3219-3226, 2020 | 112 | 2020 |
| Unsupervised inductive graph-level representation learning via graph-graph proximity Y Bai, H Ding, Y Qiao, A Marinovic, K Gu, T Chen, Y Sun, W Wang IJCAI 2019, 2019 | 103 | 2019 |
| A package for learning on tabular and text data with transformers K Gu, A Budhkar NAACL Proceedings of the Third Workshop on Multimodal Artificial …, 2021 | 63 | 2021 |
| How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study K Gu, M Grunde-McLaughlin, A McNutt, J Heer, T Althoff Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-22, 2024 | 27 | 2024 |
| Bi-level graph neural networks for drug-drug interaction prediction Y Bai, K Gu, Y Sun, W Wang ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop, 2020 | 19 | 2020 |
| How Do Analysts Understand and Verify AI-Assisted Data Analyses? K Gu, R Shang, T Althoff, C Wang, SM Drucker Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-22, 2024 | 18 | 2024 |
| Fast detection of maximum common subgraph via deep q-learning Y Bai, D Xu, A Wang, K Gu, X Wu, A Marinovic, C Ro, Y Sun, W Wang arXiv preprint arXiv:2002.03129 16, 1235-1243, 2020 | 16 | 2020 |
| Understanding and Supporting Debugging Workflows in Multiverse Analysis K Gu, E Jun, T Althoff Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 13 | 2023 |
| Unsupervised inductive whole-graph embedding by preserving graph proximity Y Bai, H Ding, Y Qiao, A Marinovic, K Gu, T Chen, Y Sun, W Wang Proceedings of the seventh international conference on learning …, 2019 | 10 | 2019 |
| BLADE: Benchmarking Language Model Agents for Data-Driven Science K Gu, R Shang, R Jiang, K Kuang, RJ Lin, D Lyu, Y Mao, Y Pan, T Wu, ... Findings of the Association for Computational Linguistics: EMNLP 2024, 13936 …, 2024 | 8 | 2024 |
| Neural maximum common subgraph detection with guided subgraph extraction Y Bai, D Xu, K Gu, X Wu, A Marinovic, C Ro, Y Sun, W Wang | 7 | 2020 |
Yizhou SunProfessor, Computer Science, UCLAE-mail megerősítve itt: cs.ucla.edu
