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ORCIDJunhong Shen
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2020 – today
- 2024
[c7]Junhong Shen, Neil A. Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolò Fusi:
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains. ICML 2024- [i7]Junhong Shen, Neil A. Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolò Fusi:
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains. CoRR abs/2402.05140 (2024) - [i6]Junhong Shen, Tanya Marwah, Ameet Talwalkar:
UPS: Towards Foundation Models for PDE Solving via Cross-Modal Adaptation. CoRR abs/2403.07187 (2024) - 2023
- [c6]Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
Cross-Modal Fine-Tuning: Align then Refine. ICML 2023: 31030-31056 - [i5]Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar:
Cross-Modal Fine-Tuning: Align then Refine. CoRR abs/2302.05738 (2023) - 2022
- [c5]Junhong Shen, Mikhail Khodak, Ameet Talwalkar:
Efficient Architecture Search for Diverse Tasks. NeurIPS 2022 - [c4]Renbo Tu, Nicholas Roberts, Mikhail Khodak, Junhong Shen, Frederic Sala, Ameet Talwalkar:
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks. NeurIPS 2022 - [i4]Junhong Shen, Mikhail Khodak, Ameet Talwalkar:
Efficient Architecture Search for Diverse Tasks. CoRR abs/2204.07554 (2022) - 2021
- [j1]Junhong Shen, Abdul Hannan Faruqi
, Yifan Jiang, Nima Maftoon:
Mathematical Reconstruction of Patient-Specific Vascular Networks Based on Clinical Images and Global Optimization. IEEE Access 9: 20648-20661 (2021) - [c3]Junhong Shen, Lin F. Yang:
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation. AAAI 2021: 9558-9566 - [c2]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:
AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale. NeurIPS (Competition and Demos) 2021: 151-170 - [c1]Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L. Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu:
Iterative Teacher-Aware Learning. NeurIPS 2021: 29231-29245 - [i3]Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L. Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu:
Iterative Teacher-Aware Learning. CoRR abs/2110.00137 (2021) - [i2]Junhong Shen, Lin F. Yang:
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation. CoRR abs/2110.04422 (2021) - 2020
- [i1]Luyao Yuan, Zipeng Fu, Jingyue Shen, Lu Xu, Junhong Shen, Song-Chun Zhu:
Emergence of Pragmatics from Referential Game between Theory of Mind Agents. CoRR abs/2001.07752 (2020)
Coauthor Index
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