| R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning S Lu, B Liu, KG Mills, S Jui, D Niu ICLR Spotlight, 2022 | 11 | 2022 |
| GOAt: Explaining Graph Neural Networks via Graph Output Attribution S Lu, KG Mills, J He, B Liu, D Niu ICLR, 2024 | 5 | 2024 |
| STExplainer: Global Explainability of GNNs via Frequent SubTree Mining S Lu, Y Yu, J Yang, B Li, D Niu | 1 | |
| TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution J Yang, S Lu, W Guo, X Li, K Yang, Y Xu, D Niu arXiv preprint arXiv:2410.02795, 2024 | | 2024 |
| EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time S Lu, B Liu, KG Mills, J He, D Niu ICML, 2024 | | 2024 |
| Building Optimal Neural Architectures using Interpretable Knowledge KG Mills, FX Han, M Salameh, S Lu, C Zhou, J He, F Sun, D Niu CVPR, 2024 | | 2024 |
| VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization R Chen, S Lu, MA Elgammal, P Chun, V Betz, D Niu 2023 33rd International Conference on Field-Programmable Logic and …, 2023 | | 2023 |
| Procedural Content Generation of The Legend of Zelda Using Markov Models S Lu, AHG Foomani, S Lu, X Chen | | |
Di NiuProfessor, University of AlbertaVerified email at ualberta.ca
