Fan, Ying

19 publications

ICLR 2025 Looped Transformers for Length Generalization Ying Fan, Yilun Du, Kannan Ramchandran, Kangwook Lee

ICML 2025 VersaPRM: Multi-Domain Process Reward Model via Synthetic Reasoning Data Thomas Zeng, Shuibai Zhang, Shutong Wu, Christian Classen, Daewon Chae, Ethan Ewer, Minjae Lee, Heeju Kim, Wonjun Kang, Jackson Kunde, Ying Fan, Jungtaek Kim, Hyung Il Koo, Kannan Ramchandran, Dimitris Papailiopoulos, Kangwook Lee

CPAL 2024 Domain Generalization via Nuclear Norm Regularization Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang

NeurIPS 2024 How to Solve Contextual Goal-Oriented Problems with Offline Datasets? Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng

NeurIPSW 2024 Looped Transformers for Length Generalization Ying Fan, Yilun Du, Kannan Ramchandran, Kangwook Lee

NeurIPSW 2024 Transformers Can Learn Meta-Skills for Task Generalization in In-Context Learning Ying Fan, Steve Yadlowsky, Dimitris Papailiopoulos, Kangwook Lee

ICMLW 2023 Algorithms for Optimal Adaptation ofDiffusion Models to Reward Functions Krishnamurthy Dj Dvijotham, Shayegan Omidshafiei, Kimin Lee, Katherine M. Collins, Deepak Ramachandran, Adrian Weller, Mohammad Ghavamzadeh, Milad Nasr, Ying Fan, Jeremiah Zhe Liu

NeurIPS 2023 DPOK: Reinforcement Learning for Fine-Tuning Text-to-Image Diffusion Models Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee

ICML 2023 Optimizing DDPM Sampling with Shortcut Fine-Tuning Ying Fan, Kangwook Lee

NeurIPSW 2023 Simple Data Sharing for Multi-Tasked Goal-Oriented Problems Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng

NeurIPSW 2023 Simple Data Sharing for Multi-Tasked Goal-Oriented Problems Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng

NeurIPSW 2022 Domain Generalization with Nuclear Norm Regularization Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang

ICML 2022 POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming, Ying Fan, Yixuan Li

NeurIPS 2022 Score-Based Generative Modeling Secretly Minimizes the Wasserstein Distance Dohyun Kwon, Ying Fan, Kangwook Lee

ICML 2021 Model-Based Reinforcement Learning for Continuous Control with Posterior Sampling Ying Fan, Yifei Ming

AAAI 2019 Deep Interest Evolution Network for Click-Through Rate Prediction Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai

AAAI 2018 Rocket Launching: A Universal and Efficient Framework for Training Well-Performing Light Net Guorui Zhou, Ying Fan, Runpeng Cui, Weijie Bian, Xiaoqiang Zhu, Kun Gai

AAAI 2017 Deep Learning for Fixed Model Reuse Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou

ACML 2017 Instance Specific Discriminative Modal Pursuit: A Serialized Approach Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang