Junhong Shen

According to our database, Junhong Shen authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction.

Junhong Shen, Hao Bai, Lunjun Zhang, Yifei Zhou, Amrith Setlur, Shengbang Tong, Diego Caples, Nan Jiang, Tong Zhang, Ameet Talwalkar, Aviral Kumar

CoRR, June, 2025

CodePDE: An Inference Framework for LLM-driven PDE Solver Generation.

Shanda Li, Tanya Marwah, Junhong Shen, Weiwei Sun, Andrej Risteski, Yiming Yang, Ameet Talwalkar

CoRR, May, 2025

Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity.

Weixin Liang, Junhong Shen, Genghan Zhang, Ning Dong, Luke Zettlemoyer, Lili Yu

CoRR, January, 2025

CAT: Content-Adaptive Image Tokenization.

Junhong Shen, Kushal Tirumala, Michihiro Yasunaga, Ishan Misra, Luke Zettlemoyer, Lili Yu, Chunting Zhou

CoRR, January, 2025

L2G: Repurposing Language Models for Genomics Tasks.

Wenduo Cheng, Junhong Shen, Mikhail Khodak, Jian Ma, Ameet Talwalkar

Trans. Mach. Learn. Res., 2025

Specialized Foundation Models Struggle to Beat Supervised Baselines.

Zongzhe Xu, Ritvik Gupta, Wenduo Cheng, Alexander Shen, Junhong Shen, Ameet Talwalkar, Mikhail Khodak

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation.

Junhong Shen, Tanya Marwah, Ameet Talwalkar

Trans. Mach. Learn. Res., 2024

ScribeAgent: Towards Specialized Web Agents Using Production-Scale Workflow Data.

Junhong Shen, Atishay Jain, Zedian Xiao, Ishan Amlekar, Mouad Hadji, Aaron Podolny, Ameet Talwalkar

CoRR, 2024

UPS: Towards Foundation Models for PDE Solving via Cross-Modal Adaptation.

Junhong Shen, Tanya Marwah, Ameet Talwalkar

CoRR, 2024

Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains.

Junhong Shen, Neil A. Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolò Fusi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Cross-Modal Fine-Tuning: Align then Refine.

Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar

Proceedings of the International Conference on Machine Learning, 2023

2022

NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks.

Renbo Tu, Nicholas Roberts, Mikhail Khodak, Junhong Shen, Frederic Sala, Ameet Talwalkar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Architecture Search for Diverse Tasks.

Junhong Shen, Mikhail Khodak, Ameet Talwalkar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Mathematical Reconstruction of Patient-Specific Vascular Networks Based on Clinical Images and Global Optimization.

Junhong Shen, Abdul Hannan Faruqi, Yifan Jiang, Nima Maftoon

IEEE Access, 2021

Iterative Teacher-Aware Learning.

Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L. Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale.

Nicholas Roberts, Samuel Guo, Cong Xu, Ameet Talwalkar, David Lander, Lvfang Tao, Linhang Cai, Shuaicheng Niu, Jianyu Heng, Hongyang Qin, Minwen Deng, Johannes Hog, Alexander Pfefferle, Sushil Ammanaghatta Shivakumar, Arjun Krishnakumar, Yubo Wang, Rhea Sukthanker, Frank Hutter, Euxhen Hasanaj, Tien-Dung Le, Mikhail Khodak, Yuriy Nevmyvaka, Kashif Rasul, Frederic Sala, Anderson Schneider, Junhong Shen, Evan Randall Sparks

Proceedings of the NeurIPS 2022 Competition Track, 2021

Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation.

Junhong Shen, Lin F. Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Emergence of Pragmatics from Referential Game between Theory of Mind Agents.

Luyao Yuan, Zipeng Fu, Jingyue Shen, Lu Xu, Junhong Shen, Song-Chun Zhu

CoRR, 2020