Qi, Yuan

41 publications

AAAI 2025 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi

NeurIPS 2025 ChromFound: Towards a Universal Foundation Model for Single-Cell Chromatin Accessibiltiy Data Yifeng Jiao, Yuchen Liu, Yu Zhang, Xin Guo, Yushuai Wu, Chen Jiang, Jiyang Li, Hongwei Zhang, Limei Han, Xin Gao, Yuan Qi, Yuan Cheng

ICML 2025 Efficient Network Automatic Relevance Determination Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi

ICLR 2025 Equivariant Masked Position Prediction for Efficient Molecular Representation Junyi An, Chao Qu, Yun-Fei Shi, XinHao Liu, Qianwei Tang, Fenglei Cao, Yuan Qi

ICCV 2025 SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images Yichi Zhang, Le Xue, Wenbo Zhang, Lanlan Li, Yuchen Liu, Chen Jiang, Yuan Cheng, Yuan Qi

ICCV 2025 Structure-Aware Semantic Discrepancy and Consistency for 3D Medical Image Self-Supervised Learning Tan Pan, Zhaorui Tan, Kaiyu Guo, Dongli Xu, Weidi Xu, Chen Jiang, Xin Guo, Yuan Qi, Yuan Cheng

IJCAI 2025 Tensor Network: From the Perspective of AI4Science and Science4AI Junchi Yan, Yehui Tang, Xinyu Ye, Hao Xiong, Xiaoqiu Zhong, Yuhan Wang, Yuan Qi

ICCV 2025 Towards a Universal 3D Medical Multi-Modality Generalization via Learning Personalized Invariant Representation Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng

ICLR 2024 Hybrid Directional Graph Neural Network for Molecules Junyi An, Chao Qu, Zhipeng Zhou, Fenglei Cao, Xu Yinghui, Yuan Qi, Furao Shen

ICML 2024 Sign Is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi

ICML 2023 Provably Invariant Learning Without Domain Information Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Xu Yinghui, Peng Cui, Yuan Qi

AAAI 2021 Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He

NeurIPS 2020 Bandit Samplers for Training Graph Neural Networks Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi

AAAI 2020 Cost-Effective Incentive Allocation via Structured Counterfactual Inference Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song

ICLR 2020 Double Neural Counterfactual Regret Minimization Hui Li, Kailiang Hu, Zhibang Ge, Tao Jiang, Yuan Qi, Le Song

ICLR 2020 Efficient Probabilistic Logic Reasoning with Graph Neural Networks Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song

IJCAI 2020 Financial Risk Analysis for SMEs with Graph-Based Supply Chain Mining Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi

AAAI 2020 Long Short-Term Sample Distillation Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi

ICML 2020 Temporal Logic Point Processes Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song

AAAI 2019 Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi

ICML 2019 Generative Adversarial User Model for Reinforcement Learning Based Recommendation System Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song

AAAI 2019 GeniePath: Graph Neural Networks with Adaptive Receptive Paths Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi

AAAI 2019 Latent Dirichlet Allocation for Internet Price War Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong

NeurIPS 2019 Value Propagation for Decentralized Networked Deep Multi-Agent Reinforcement Learning Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong

ICML 2017 Asynchronous Distributed Variational Gaussian Process for Regression Hao Peng, Shandian Zhe, Xiao Zhang, Yuan Qi

JAIR 2016 Association Discovery and Diagnosis of Alzheimer's Disease with Bayesian Multiview Learning Zenglin Xu, Shandian Zhe, Yuan Qi, Peng Yu

AAAI 2016 DinTucker: Scaling up Gaussian Process Models on Large Multidimensional Arrays Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian M. Molloy, Suresh Chari

NeurIPS 2016 Distributed Flexible Nonlinear Tensor Factorization Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani

IJCAI 2016 Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models Syed Abbas Zilqurnain Naqvi, Shandian Zhe, Yuan Qi, Yifan Yang, Jieping Ye

AAAI 2015 Bayesian Maximum Margin Principal Component Analysis Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi

IJCAI 2015 EigenGP: Gaussian Process Models with Adaptive Eigenfunctions Hao Peng, Yuan Qi

AAAI 2015 Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu

ICML 2013 Message Passing with L1 Penalized KL Minimization Yuan Qi, Yandong Guo

NeurIPS 2011 EigenNet: A Bayesian Hybrid of Generative and Conditional Models for Sparse Learning Feng Yan, Yuan Qi

NeurIPS 2011 T-Divergence Based Approximate Inference Nan Ding, Yuan Qi, S.v.n. Vishwanathan

AISTATS 2010 Nonparametric Bayesian Matrix Factorization by Power-EP Nan Ding, Yuan Qi, Rongjing Xiang, Ian Molloy, Ninghui Li

NeurIPS 2009 Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units Feng Yan, Ningyi Xu, Yuan Qi

NeurIPS 2006 Parameter Expanded Variational Bayesian Methods Tommi S. Jaakkola, Yuan Qi

AISTATS 2005 Bayesian Conditional Random Fields Yuan Qi, Martin Szummer, Tom Minka

NeurIPS 2005 Hyperparameter and Kernel Learning for Graph Based Semi-Supervised Classification Ashish Kapoor, Hyungil Ahn, Yuan Qi, Rosalind W. Picard

NeurIPS 2003 Tree-Structured Approximations by Expectation Propagation Yuan Qi, Tom Minka