| Toolqa: A dataset for llm question answering with external tools Y Zhuang, Y Yu, K Wang, H Sun, C Zhang Advances in Neural Information Processing Systems 36, 50117-50143, 2023 | 405 | 2023 |
| AdaPlanner: Adaptive Planning from Feedback with Language Models H Sun, Y Zhuang, L Kong, B Dai, C Zhang Advances in Neural Information Processing Systems, 2023, 2023 | 205* | 2023 |
| Autoregressive diffusion model for graph generation L Kong, J Cui, H Sun, Y Zhuang, BA Prakash, C Zhang International conference on machine learning, 17391-17408, 2023 | 115 | 2023 |
| HYDRA: Model Factorization Framework for Black-Box LLM Personalization Y Zhuang, H Sun, Y Yu, Q Wang, C Zhang, B Dai Advances in Neural Information Processing Systems, 2024, 2024 | 51* | 2024 |
| MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning W Shi, R Xu, Y Zhuang, Y Yu, H Sun, H Wu, C Yang, MD Wang Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024, 2024 | 40 | 2024 |
| Precise fault location in distribution networks based on optimal monitor allocation H Sun, H Yi, F Zhuo, X Du, G Yang IEEE Transactions on Power Delivery 35 (4), 1788-1799, 2019 | 26 | 2019 |
| BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models H Sun, Y Zhuang, W Wei, C Zhang, B Dai International Conference on Machine Learning 2024, 2024 | 24 | 2024 |
| EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing H Sun, T Lei, B Zhang, Y Li, H Huang, R Pang, B Dai, N Du International Conference on Learning Representations, 2025, 2024 | 14* | 2024 |
| An integrated voltage and current balancing strategy of series-parallel connected IGBTs X Du, F Zhuo, H Sun, H Yi, Y Zhu 2018 International Power Electronics Conference (IPEC-Niigata 2018-ECCE Asia …, 2018 | 13 | 2018 |
| Spectral representation for causal estimation with hidden confounders H Sun, A Moulin, T Ren, A Gretton, B Dai arXiv preprint arXiv:2407.10448, 2024 | 12 | 2024 |
| Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs C Li, Y Zhuang, R Qiang, H Sun, H Dai, C Zhang, B Dai Advances in Neural Information Processing Systems, 2025, 2024 | 9* | 2024 |
| Voltage sag source identification based on few-shot learning H Sun, H Yi, G Yang, F Zhuo, A Hu IEEE Access 7, 164398-164406, 2019 | 9 | 2019 |
| Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process L Kong*, H Sun*, Y Zhuang, H Wang, W Mu, C Zhang International Conference on Artificial Intelligence and Statistics, 4582-4590, 2024 | 4 | 2024 |
| Towards Better Instruction Following Retrieval Models Y Zhuang, A Trinh, R Qiang, H Sun, C Zhang, H Dai, B Dai arXiv preprint arXiv:2505.21439, 2025 | 2 | 2025 |
| Comprehensive Evaluation of Multiple Power Qualities in Distributed Network Based on AHP and Optimal Membership G Yang, Y Hao, Z Yang, H Sun, Z Ma, Z Fang, C Zhu 2020 IEEE 9th International Power Electronics and Motion Control Conference …, 2020 | 2 | 2020 |
| Optimal monitoring allocation by considering voltage sags locating and disturbance tolerance H Sun, X Du, H Yi, F Zhuo, S Luo, J Zhang, X Wang, Y Li 2018 China International Conference on Electricity Distribution, CICED 2018 …, 2018 | 2 | 2018 |
| A Voltage Sag Source Locating Method with Multiple Screening Criterions Considering Voltage Measurement Errors X Du, H Sun, H Yi, F Zhuo, S Luo, X Wang 2018 IEEE International Power Electronics and Application Conference and …, 2018 | 2 | 2018 |
| Spectral Representation-based Reinforcement Learning C Gao, H Sun, N Li, D Schuurmans, B Dai arXiv preprint arXiv:2512.15036, 2025 | | 2025 |
| AmorLIP: Efficient Language-Image Pretraining via Amortization H Sun, Y Li, Y Zhuang, N He, H Dai, B Dai Advances in Neural Information Processing Systems, 2025, 2025 | | 2025 |
Yuchen ZhuangGoogle DeepMindVerified email at google.com
