ML Anthology

Long, Qi

23 publications

NeurIPS 2025 $\texttt{BetaConform}$: Efficient MAP Estimation of LLM Ensemble Judgment Performance with Prior Transfer Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tianlong Chen
ICML 2025 $\texttt{I}$^2$MoE$: Interpretable Multimodal Interaction-Aware Mixture-of-Experts Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long
CVPR 2025 InterAct: Advancing Large-Scale Versatile 3D Human-Object Interaction Generation Sirui Xu, Dongting Li, Yucheng Zhang, Xiyan Xu, Qi Long, Ziyin Wang, Yunzhi Lu, Shuchang Dong, Hezi Jiang, Akshat Gupta, Yu-Xiong Wang, Liang-Yan Gui
NeurIPS 2025 Mitigating the Privacy–Utility Trade-Off in Decentralized Federated Learning via F-Differential Privacy Xiang Li, Chendi Wang, Buxin Su, Qi Long, Weijie J Su
ICML 2025 Modalities Contribute Unequally: Enhancing Medical Multi-Modal Learning Through Adaptive Modality Token Re-Balancing Jie Peng, Jenna L. Ballard, Mohan Zhang, Sukwon Yun, Jiayi Xin, Qi Long, Yanyong Zhang, Tianlong Chen
NeurIPS 2025 On the Empirical Power of Goodness-of-Fit Tests in Watermark Detection Weiqing He, Xiang Li, Tianqi Shang, Li Shen, Weijie J Su, Qi Long
ICML 2025 Restoring Calibration for Aligned Large Language Models: A Calibration-Aware Fine-Tuning Approach Jiancong Xiao, Bojian Hou, Zhanliang Wang, Ruochen Jin, Qi Long, Weijie J Su, Li Shen
COLT 2024 Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization Jiancong Xiao, Ruoyu Sun, Qi Long, Weijie Su
ICML 2024 DISCRET: Synthesizing Faithful Explanations for Treatment Effect Estimation Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay Velingker, Ziyang Li, Emily J Getzen, Qi Long, Mayur Naik, Ravi B Parikh, Eric Wong
NeurIPSW 2024 Demo: An Exploration of LLM-Guided Conversation in Reminiscence Therapy Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu
NeurIPS 2024 Fairness-Aware Estimation of Graphical Models Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen
NeurIPS 2024 Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen
AISTATS 2024 SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data Zongyu Dai, Emily Getzen, Qi Long
NeurIPS 2023 Fair Canonical Correlation Analysis Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
UAI 2023 Fairness-Aware Class Imbalanced Learning on Multiple Subgroups Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Qi Long, Li Shen
JMLR 2023 Minimax Estimation for Personalized Federated Learning: An Alternative Between FedAvg and Local Training? Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie J. Su
TMLR 2023 On the Convergence and Calibration of Deep Learning with Differential Privacy Zhiqi Bu, Hua Wang, Zongyu Dai, Qi Long
ECML-PKDD 2022 Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability Qiyiwen Zhang, Zhiqi Bu, Kan Chen, Qi Long
NeurIPSW 2022 Fairness-Aware Missing Data Imputation Yiliang Zhang, Qi Long
ACML 2022 Multiple Imputation with Neural Network Gaussian Process for High-Dimensional Incomplete Data Zongyu Dai, Zhiqi Bu, Qi Long
AISTATS 2021 Federated F-Differential Privacy Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie Su
NeurIPS 2021 Assessing Fairness in the Presence of Missing Data Yiliang Zhang, Qi Long
ICML 2020 Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie Su