Shen, Junhong

15 publications

NeurIPS 2025 CAT: Content-Adaptive Image Tokenization Junhong Shen, Kushal Tirumala, Michihiro Yasunaga, Ishan Misra, Luke Zettlemoyer, Lili Yu, Chunting Zhou

TMLR 2025 L2G: Repurposing Language Models for Genomics Tasks Wenduo Cheng, Junhong Shen, Mikhail Khodak, Jian Ma, Ameet Talwalkar

ICLRW 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

ICLR 2025 Specialized Foundation Models Struggle to Beat Supervised Baselines Zongzhe Xu, Ritvik Gupta, Wenduo Cheng, Alexander Shen, Junhong Shen, Ameet Talwalkar, Mikhail Khodak

NeurIPS 2025 Thinking vs. Doing: Improving Agent Reasoning 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

ICLRW 2025 WorkflowAgent: Towards Specialized Web Agents Using Production-Scale Workflow Data Junhong Shen, Atishay Jain, Zedian Xiao, Ishan Amlekar, Mouad Hadji, Aaron Podolny, Ameet Talwalkar

NeurIPSW 2024 Specialized Foundation Models Struggle to Beat Supervised Baselines Zongzhe Xu, Ritvik Gupta, Wenduo Cheng, Alexander Shen, Junhong Shen, Ameet Talwalkar, Mikhail Khodak

ICML 2024 Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains Junhong Shen, Neil Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolo Fusi

TMLR 2024 UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation Junhong Shen, Tanya Marwah, Ameet Talwalkar

ICMLW 2024 UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation Junhong Shen, Tanya Marwah, Ameet Talwalkar

ICML 2023 Cross-Modal Fine-Tuning: Align Then Refine Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar

NeurIPS 2022 Efficient Architecture Search for Diverse Tasks Junhong Shen, Misha Khodak, Ameet Talwalkar

NeurIPS 2022 NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks Renbo Tu, Nicholas Roberts, Misha Khodak, Junhong Shen, Frederic Sala, Ameet Talwalkar

NeurIPS 2021 Iterative Teacher-Aware Learning Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu

AAAI 2021 Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation Junhong Shen, Lin F. Yang