Ie, Eugene

8 publications

ICLR 2026 Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning Shenao Zhang, Yaqing Wang, Yinxiao Liu, Tianqi Liu, Peter Grabowski, Eugene Ie, Zhaoran Wang, Yunxuan Li

ICLR 2026 Type-Compliant Adaptation Cascades Chu-Cheng Lin, Daiyi Peng, Yifeng Lu, Ming Zhang, Eugene Ie

ICCV 2025 Improving Rectified Flow with Boundary Conditions Xixi Hu, Runlong Liao, Keyang Xu, Bo Liu, Yeqing Li, Eugene Ie, Hongliang Fei, Qiang Liu

ECCV 2020 Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation Xin Eric Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi[2]

IJCAI 2019 SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier

ICCV 2019 Transferable Representation Learning in Vision-and-Language Navigation Haoshuo Huang, Vihan Jain, Harsh Mehta, Alexander Ku, Gabriel Magalhaes, Jason Baldridge, Eugene Ie

JMLR 2007 Multi-Class Protein Classification Using Adaptive Codes Iain Melvin, Eugene Ie, Jason Weston, William Stafford Noble, Christina Leslie

ICML 2005 Multi-Class Protein Fold Recognition Using Adaptive Codes Eugene Ie, Jason Weston, William Stafford Noble, Christina S. Leslie