| 2025 | CGI | Task-Adaptive Channel Attention Graph Network for Few-Shot 3D Point Cloud Classification. | Ge Liu, Zhongqiang Zhang, Jingren Xie, Xiangzhong Fang |
| 2025 | ICLR | Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization. | Jiajun Fan, Shuaike Shen, Chaoran Cheng, Yuxin Chen, Chumeng Liang, Ge Liu |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Training Free Guided Flow-Matching with Optimal Control. | Luran Wang, Chaoran Cheng, Yizhen Liao, Yanru Qu, Ge Liu |
| 2024 | AISTATS | Pessimistic Off-Policy Multi-Objective Optimization. | Shima Alizadeh, Aniruddha Bhargava, Karthick Gopalswamy, Lalit Jain, Branislav Kveton, Ge Liu |
| 2024 | COLING | NER-guided Comprehensive Hierarchy-aware Prompt Tuning for Hierarchical Text Classification. | Fuhan Cai, Duo Liu, Zhongqiang Zhang, Ge Liu, Xiaozhe Yang, Xiangzhong Fang |
| 2024 | EMNLP | Arxiv Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance. | Guanyu Lin, Tao Feng, Pengrui Han, Ge Liu, Jiaxuan You |
| 2023 | ICDM | Learning and Adapting Diverse Representations for Cross-domain Few-shot Learning. | Ge Liu, Zhongqiang Zhang, Fuhan Cai, Duo Liu, Xiangzhong Fang |
| 2023 | ICONIP | Efficient Attention for Domain Generalization. | Zhongqiang Zhang, Ge Liu, Fuhan Cai, Duo Liu, Xiangzhong Fang |
| 2022 | ICLR | Maximum n-times Coverage for Vaccine Design. | Ge Liu, Alexander Dimitrakakis, Brandon Carter, David K. Gifford |
| 2022 | ICLR | Bridging Recommendation and Marketing via Recurrent Intensity Modeling. | Yifei Ma, Ge Liu, Anoop Deoras |
| 2021 | AMIA | Mapping the Read2/CTV3 controlled clinical terminologies to Phecodes in UK Biobank primary care electronic health records: implementation and evaluation. | Spiros C. Denaxas, Ge Liu, QiPing Feng, Ghazaleh Fatemifar, Lisa Bastarache, Vern Eric Kerchberger, Aroon D. Hingorani, R. Tom Lumbers, Josh F. Peterson, Wei-Qi Wei, Harry Hemingway |
| 2021 | WACV | Class-wise Metric Scaling for Improved Few-Shot Classification. | Ge Liu, Linglan Zhao, Wei Li, Dashan Guo, Xiangzhong Fang |
| 2020 | AAAI | Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. | Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford |
| 2019 | ISKE | Channel Selection Method Based on CNNSE for EEG Emotion Recognition. | Zhong-Min Wang, Hui Song, Shu-Yuan Hu, Ge Liu |
| 2017 | ICONIP | App Uninstalls Prediction: A Machine Learning and Time Series Mining Approach. | Jiaxing Shang, Jinghao Wang, Ge Liu, Hongchun Wu, Shangbo Zhou, Yong Feng |