| 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 | 291* | 2024 |
| 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 | 131 | 2023 |
| Good: A graph out-of-distribution benchmark S Gui*, X Li*, L Wang, S Ji Advances in Neural Information Processing Systems (NeurIPS 2022) Datasets …, 2022 | 121 | 2022 |
| 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 | 55 | 2024 |
| 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 | 41 | 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 | 20* | 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 | 15 | 2021 |
| Derivative-free guidance in continuous and discrete diffusion models with soft value-based decoding X Li, Y Zhao, C Wang, G Scalia, G Eraslan, S Nair, T Biancalani, S Ji, ... arXiv preprint arXiv:2408.08252, 2024 | 11 | 2024 |
| 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 | 11 | 2024 |
| 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 | 11 | 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 | 4 | 2021 |
| Geometry Informed Tokenization of Molecules for Language Model Generation X Li, L Wang, Y Luo, C Edwards, S Gui, Y Lin, H Ji, S Ji arXiv preprint arXiv:2408.10120, 2024 | 3* | 2024 |
| Reward-Guided Controlled Generation for Inference-Time Alignment in Diffusion Models: Tutorial and Review M Uehara, Y Zhao, C Wang, X Li, A Regev, S Levine, T Biancalani arXiv preprint arXiv:2501.09685, 2025 | 2 | 2025 |
| Fragment and Geometry Aware Tokenization of Molecules for Structure-Based Drug Design Using Language Models C Fu*, X Li*, B Olson, H Ji, S Ji arXiv preprint arXiv:2408.09730, 2024 | 2 | 2024 |
| Discovering Physics Laws of Dynamical Systems via Invariant Function Learning S Gui, X Li, S Ji arXiv preprint arXiv:2502.04495, 2025 | | 2025 |
| Inference-Time Alignment in Diffusion Models with Reward-Guided Generation: Tutorial and Review M Uehara, Y Zhao, C Wang, X Li, A Regev, S Levine, T Biancalani arXiv preprint arXiv:2501.09685, 2025 | | 2025 |
| A Hierarchical Language Model For Interpretable Graph Reasoning S Khurana*, X Li*, S Gui, S Ji arXiv preprint arXiv:2410.22372, 2024 | | 2024 |
| Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation K Yan, X Li, H Ling, K Ashen, C Edwards, R Arroyave, M Zitnik, H Ji, ... The 38th Annual Conference on Neural Information Processing Systems, 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 |
| Main Conference Program Committee List A Agrawal, S Agrawal, GJ Ahn, M Akbar, RAI France, K Al Hussaeni, ... | | |
Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M UniversityPotvrđena adresa e-pošte na tamu.edu