| Llm maybe longlm: Self-extend llm context window without tuning H Jin, X Han, J Yang, Z Jiang, Z Liu, CY Chang, H Chen, X Hu Forty-first International Conference on Machine Learning (ICML 2024), 2024 | 103* | 2024 |
| Efficient xai techniques: A taxonomic survey YN Chuang, G Wang, F Yang, Z Liu, CY Chang, X Cai, M Du, X Hu arXiv preprint arXiv:2302.03225, 2023 | 39* | 2023 |
| Auto-PINN: understanding and optimizing physics-informed neural architecture Y Wang, X Han, CY Chang, D Zha, U Braga-Neto, X Hu NeurIPS 2023 Workshop AI4Science, 2022 | 26 | 2022 |
| Learning to compress prompt in natural language formats YN Chuang, T Xing, CY Chang, Z Liu, X Chen, X Hu North American Chapter of the Association for Computational Linguistics …, 2024 | 14 | 2024 |
| Towards fair patient-trial matching via patient-criterion level fairness constraint CY Chang, J Yuan, S Ding, Q Tan, K Zhang, X Jiang, X Hu, N Zou AMIA Annual Symposium Proceedings 2023, 884, 2023 | 12 | 2023 |
| Growlength: Accelerating llms pretraining by progressively growing training length H Jin, X Han, J Yang, Z Jiang, CY Chang, X Hu arXiv preprint arXiv:2310.00576, 2023 | 10 | 2023 |
| Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs YN Chuang, KH Lai, R Tang, M Du, CY Chang, N Zou, X Hu ACM Transactions on Knowledge Discovery from Data, 2024 | 9* | 2024 |
| Query Expansion with Semantic-Based Ellipsis Reduction for Conversational IR CY Chang, N Chen, WT Chiang, CH Lee, YH Tseng, CJ Wang, HH Chen, ... The Twenty-Ninth Text REtrieval Conference (TREC 2020) Proceedings, 2020 | 8 | 2020 |
| DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research YN Chuang, G Wang, CY Chang, KH Lai, R Tang, F Yang, AC Reyes, ... ACM International Conference on Information and Knowledge Management (CIKM 2023), 2023 | 7 | 2023 |
| Assessing and enhancing large language models in rare disease question-answering G Wang, J Ran, R Tang, CY Chang, YN Chuang, Z Liu, V Braverman, ... arXiv preprint arXiv:2408.08422, 2024 | 6 | 2024 |
| CODA: Temporal Domain Generalization via Concept Drift Simulator CY Chang, YN Chuang, Z Jiang, KH Lai, A Jiang, N Zou 2nd INFORMS Conference on Quality, Statistics, and Reliability (ICQSR 2024), 2024 | 6 | 2024 |
| A multi-step-ahead markov conditional forward model with cube perturbations for extreme weather forecasting CY Chang, CW Lu, CJ Wang Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) 35 (8 …, 2021 | 6 | 2021 |
| DISPEL: Domain Generalization via Domain-Specific Liberating CY Chang, YN Chuang, G Wang, M Du, N Zou arXiv preprint arXiv:2307.07181, 2023 | 5 | 2023 |
| Towards assumption-free bias mitigation CY Chang, YN Chuang, KH Lai, X Han, X Hu, N Zou arXiv preprint arXiv:2307.04105, 2023 | 5 | 2023 |
| Large language models as faithful explainers YN Chuang, G Wang, CY Chang, R Tang, F Yang, M Du, X Cai, X Hu arXiv preprint arXiv:2402.04678, 2024 | 3 | 2024 |
| Multi-task learning for post-transplant cause of death analysis: A case study on liver transplant S Ding, Q Tan, C Chang, N Zou, K Zhang, NR Hoot, X Jiang, X Hu AMIA Annual Symposium Proceedings 2023, 913, 2024 | 3 | 2024 |
| Understanding Different Design Choices in Training Large Time Series Models YN Chuang, S Li, J Yuan, G Wang, KH Lai, L Yu, S Ding, CY Chang, ... arXiv preprint arXiv:2406.14045, 2024 | 2 | 2024 |
| TVE: Learning Meta-attribution for Transferable Vision Explainer G Wang, YN Chuang, F Yang, M Du, CY Chang, S Zhong, Z Liu, Z Xu, ... arXiv preprint arXiv:2312.15359, 2023 | 1* | 2023 |
| MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation CY Chang, Z Jiang, V Rakesh, M Pan, CCM Yeh, G Wang, M Hu, Z Xu, ... arXiv preprint arXiv:2501.00332, 2025 | | 2025 |
| Advancing Table Understanding of Large Language Models via Feature Re-ordering G Wang, Y Chen, H Chen, X Fan, J Wang, X Li, M Hu, CY Chang, X Hu | | |
Xia "Ben" HuAssociate Professor of Computer Science, Rice Universityrice.edu의 이메일 확인됨