Huang, Qian

20 publications

FnTML 2025 Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
ICLR 2025 BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Yusuf H Roohani, Andrew H. Lee, Qian Huang, Jian Vora, Zachary Steinhart, Kexin Huang, Alexander Marson, Percy Liang, Jure Leskovec
NeurIPS 2025 Cross City Traffic Flow Generation via Retrieval Augmented Diffusion Model Yudong Li, Jingyuan Wang, Xie Yu, Peiyu Wang, Qian Huang
NeurIPS 2024 AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou
ICLRW 2024 BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments Yusuf H Roohani, Jian Vora, Qian Huang, Percy Liang, Jure Leskovec
ACML 2024 FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity Zaipeng Xie, Li Likun, Xiangbin Chen, Hao Yu, Qian Huang
ICML 2024 MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation Qian Huang, Jian Vora, Percy Liang, Jure Leskovec
NeurIPS 2024 STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec
NeurIPSW 2023 Benchmarking Large Language Models as AI Research Agents Qian Huang, Jian Vora, Percy Liang, Jure Leskovec
TMLR 2023 Holistic Evaluation of Language Models Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D Manning, Christopher Re, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda
NeurIPS 2023 Lexinvariant Language Models Qian Huang, Eric Zelikman, Sarah Chen, Yuhuai Wu, Gregory Valiant, Percy Liang
ICMLW 2023 Lexinvariant Language Models Qian Huang, Eric Zelikman, Sarah Li Chen, Yuhuai Wu, Gregory Valiant, Percy Liang
NeurIPS 2023 PRODIGY: Enabling In-Context Learning over Graphs Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec
ICMLW 2023 PRODIGY: Enabling In-Context Learning over Graphs Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec
NeurIPS 2023 Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions Eric Zelikman, Qian Huang, Gabriel Poesia, Noah Goodman, Nick Haber
NeurIPS 2022 Few-Shot Relational Reasoning via Connection Subgraph Pretraining Qian Huang, Hongyu Ren, Jure Leskovec
ICLR 2021 Combining Label Propagation and Simple Models Out-Performs Graph Neural Networks Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin Benson
NeurIPS 2020 Better Set Representations for Relational Reasoning Qian Huang, Horace He, Abhay Singh, Yan Zhang, Ser Nam Lim, Austin R Benson
CVPR 1997 Character Extraction of License Plates from Video Yuntao Cui, Qian Huang
CVPR 1993 Generalized Tube Model: Recognizing 3D Elongated Objects from 2D Intensity Images Qian Huang, George C. Stockman