| Trustllm: Trustworthiness in large language models L Sun*, Y Huang*, H Wang*, S Wu*, Q Zhang*, C Gao*, Y Huang*, W Lyu*, ... Forty-first International Conference on Machine Learning (ICML 2024), 2024 | 119 | 2024 |
| Good: A graph out-of-distribution benchmark S Gui*, X Li*, L Wang, S Ji Advances in Neural Information Processing Systems 35 (NeurIPS 2022) Datasets …, 2022 | 85 | 2022 |
| Artificial intelligence for science in quantum, atomistic, and continuum systems X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ... arXiv preprint arXiv:2307.08423, 2023 | 73 | 2023 |
| Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization S Gui, M Liu, X Li, Y Luo, S Ji Advances in Neural Information Processing Systems (NeurIPS 2023), 2023 | 17 | 2023 |
| Graph Structure Extrapolation for Out-of-Distribution Generalization X Li, S Gui, Y Luo, S Ji Forty-first International Conference on Machine Learning, 2024 | 11* | 2024 |
| Dynamic 3D point cloud streaming: Distortion and concealment CH Wu, X Li, R Rajesh, WT Ooi, CH Hsu Proceedings of the 31st ACM Workshop on Network and Operating Systems …, 2021 | 11 | 2021 |
| Active Test-Time Adaptation: Theoretical Analyses and An Algorithm S Gui*, X Li*, S Ji The Twelfth International Conference on Learning Representations (ICLR 2024), 2023 | 4 | 2023 |
| Keyword search based on unsupervised pre-trained acoustic models X Li, J Zhao, WQ Zhang, Z Lv, S Huang International Journal of Asian Language Processing 31 (03n04), 2250005, 2021 | 3 | 2021 |
| Eliminating Position Bias of Language Models: A Mechanistic Approach Z Wang, H Zhang, X Li, KH Huang, C Han, S Ji, SM Kakade, H Peng, H Ji arXiv preprint arXiv:2407.01100, 2024 | | 2024 |
| Position: TrustLLM: Trustworthiness in Large Language Models Y Huang*, L Sun*, H Wang*, S Wu*, Q Zhang*, Y Li*, C Gao*, Y Huang*, ... Forty-first International Conference on Machine Learning (ICML 2024), 2024 | | 2024 |
| GOOD: A Graph Out-of-Distribution Benchmark Supplementary Material S Gui*, X Li*, L Wang, S Ji Advances in Neural Information Processing Systems 35 (NeurIPS 2022) Datasets …, 2022 | | 2022 |
Shuiwang Ji, ProfessorDepartment of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
