Liu, Ge

19 publications

NeurIPS 2025 Adaptive Divergence Regularized Policy Optimization for Fine-Tuning Generative Models Jiajun Fan, Tong Wei, Chaoran Cheng, Yuxin Chen, Ge Liu

ICLRW 2025 Hierarchical Protein Backbone Generation with Latent and Structure Diffusion Jason Yim, Marouane Jaakik, Ge Liu, Jacob Gershon, Karsten Kreis, David Baker, Regina Barzilay, Tommi Jaakkola

ICLR 2025 Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma

ICLR 2025 Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization Jiajun Fan, Shuaike Shen, Chaoran Cheng, Yuxin Chen, Chumeng Liang, Ge Liu

NeurIPS 2025 Riemannian Consistency Model Chaoran Cheng, Yusong Wang, Yuxin Chen, Xiangxin Zhou, Nanning Zheng, Ge Liu

ICLR 2025 Training Free Guided Flow-Matching with Optimal Control Luran Wang, Chaoran Cheng, Yizhen Liao, Yanru Qu, Ge Liu

NeurIPS 2025 Variational Supervised Contrastive Learning Ziwen Wang, Jiajun Fan, Thao Nguyen, Heng Ji, Ge Liu

NeurIPS 2024 Categorical Flow Matching on Statistical Manifolds Chaoran Cheng, Jiahan Li, Jian Peng, Ge Liu

NeurIPS 2024 Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs Yusong Wang, Chaoran Cheng, Shaoning Li, Yuxuan Ren, Bin Shao, Ge Liu, Pheng-Ann Heng, Nanning Zheng

ICMLW 2024 Off-Policy Evaluation from Logged Human Feedback Aniruddha Bhargava, Lalit K Jain, Branislav Kveton, Ge Liu, Subhojyoti Mukherjee

ICMLW 2024 Optimal Design for Human Feedback Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Anand Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton

NeurIPS 2024 Optimal Design for Human Preference Elicitation Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton

AISTATS 2024 Pessimistic Off-Policy Multi-Objective Optimization Shima Alizadeh, Aniruddha Bhargava, Karthick Gopalswamy, Lalit Jain, Branislav Kveton, Ge Liu

ICLRW 2024 Thought-Retriever: Don’t Just Retrieve Raw Data, Retrieve Thoughts Tao Feng, Pengrui Han, Guanyu Lin, Ge Liu, Jiaxuan You

ICLR 2022 Bridging Recommendation and Marketing via Recurrent Intensity Modeling Yifei Ma, Ge Liu, Anoop Deoras

ICLR 2022 Maximum N-Times Coverage for Vaccine Design Ge Liu, Alexander Dimitrakakis, Brandon Carter, David Gifford

NeurIPSW 2022 Sequence-Graph Duality: Unifying User Modeling with Self-Attention for Sequential Recommendation Zeren Shui, Ge Liu, Anoop Deoras, George Karypis

WACV 2021 Class-Wise Metric Scaling for Improved Few-Shot Classification Ge Liu, Linglan Zhao, Wei Li, Dashan Guo, Xiangzhong Fang

AAAI 2020 Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford