Yuan Qi - RankMe

162 papers A* 37A 8Misc 2Journal 97Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Pre-trained Reaction Embedding Descriptor Capturing Bond Transformation Patterns. CoRR Weiqi Liu, Fenglei Cao, Yuan Qi, Li-Cheng Xu
2026	A*	`conf`	Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning. AAAI Xuan Zhang, Zhijian Zhou, Weidi Xu, Yanting Miao, Chao Qu, Yuan Qi
2026	J	`jnl`	Developing Foundation Models for Universal Segmentation from 3D Whole-Body Positron Emission Tomography. CoRR Yichi Zhang, Le Xue, Wenbo Zhang, Lanlan Li, Feiyang Xiao, Yuchen Liu, Xiaohui Zhang, Hongwei Zhang, Shuqi Wang, Gang Feng, Liling Peng, Xin Gao, Yuanfan Xu, Yuan Qi, Kuangyu Shi, Hong Zhang, Yuan Cheng, Mei Tian, Zixin Hu
2026	J	`jnl`	DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay. CoRR Long Li, Zhijian Zhou, Tianyi Wang, Weidi Xu, Zuming Huang, Wei Chu, Zhe Wang, Shirui Pan, Chao Qu, Yuan Qi
2026	J	`jnl`	Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation. CoRR Junyi An, Chao Qu, Yunfei Shi, Zhijian Zhou, Fenglei Cao, Yuan Qi
2026	J	`jnl`	PET-F2I: A Comprehensive Benchmark and Parameter-Efficient Fine-Tuning of LLMs for PET/CT Report Impression Generation. CoRR Yuchen Liu, Wenbo Zhang, Liling Peng, Yichi Zhang, Yu Fu, Xin Guo, Chao Qu, Yuan Qi, Le Xue
2026	A*	`conf`	PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography. AAAI Yichi Zhang, Wenbo Zhang, Zehui Ling, Gang Feng, Sisi Peng, Deshu Chen, Yuchen Liu, Hongwei Zhang, Shuqi Wang, Lanlan Li, Limei Han, Yuan Cheng, Zixin Hu, Yuan Qi, Le Xue
2026	J	`jnl`	Project and Generate: Divergence-Free Neural Operators for Incompressible Flows. CoRR Xigui Li, Hongwei Zhang, Ruoxi Jiang, Deshu Chen, Chensen Lin, Limei Han, Yuan Qi, Xin Guo, Yuan Cheng
2026	J	`jnl`	Suiren-1.0 Technical Report: A Family of Molecular Foundation Models. CoRR Junyi An, Xinyu Lu, Yunfei Shi, Licheng Xu, Nannan Zhang, Chao Qu, Yuan Qi, Fenglei Cao
2026	J	`jnl`	Uncovering Modality Discrepancy and Generalization Illusion for General-Purpose 3D Medical Segmentation. CoRR Yichi Zhang, Feiyang Xiao, Le Xue, Wenbo Zhang, Gang Feng, Chenguang Zheng, Yuan Qi, Yuan Cheng, Zixin Hu
2025	A*	`conf`	4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance. AAAI Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi
2025	J	`jnl`	AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse Verification. CoRR Xiaoyu Tan, Tianchu Yao, Chao Qu, Bin Li, Minghao Yang, Dakuan Lu, Haozhe Wang, Xihe Qiu, Wei Chu, Yinghui Xu, Yuan Qi
2025	Misc	`conf`	An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis. ICASSP Yingchen Wei, Xihe Qiu, Xiaoyu Tan, Jingjing Huang, Wei Chu, Yinghui Xu, Yuan Qi
2025	J	`jnl`	Aneumo: A Large-Scale Comprehensive Synthetic Dataset of Aneurysm Hemodynamics. CoRR Xigui Li, Yuanye Zhou, Feiyang Xiao, Xin Guo, Yichi Zhang, Chen Jiang, Jianchao Ge, Xiansheng Wang, Qimeng Wang, Taiwei Zhang, Chensen Lin, Yuan Cheng, Yuan Qi
2025	J	`jnl`	Aneumo: A Large-Scale Multimodal Aneurysm Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks. CoRR Xigui Li, Yuanye Zhou, Feiyang Xiao, Xin Guo, Chen Jiang, Tan Pan, Xingmeng Zhang, Cenyu Liu, Zeyun Miao, Jianchao Ge, Xiansheng Wang, Qimeng Wang, Yichi Zhang, Wenbo Zhang, Fengping Zhu, Limei Han, Yuan Qi, Chensen Lin, Yuan Cheng
2025	—	`conf`	CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. ACL (1) Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2025	J	`jnl`	CTkvr: KV Cache Retrieval for Long-Context LLMs via Centroid then Token Indexing. CoRR Kuan Lu, Shuhang Lin, Sai Wu, Yichen Yao, Junhan Yang, Huan Li, Wei Chu, Yinghui Xu, Yuan Qi, Gang Chen
2025	J	`jnl`	ChemHAS: Hierarchical Agent Stacking for Enhancing Chemistry Tools. CoRR Zhucong Li, Bowei Zhang, Jin Xiao, Zhijian Zhou, Fenglei Cao, Jiaqing Liang, Yuan Qi
2025	J	`jnl`	ChemHTS: Hierarchical Tool Stacking for Enhancing Chemical Agents. CoRR Zhucong Li, Jin Xiao, Bowei Zhang, Zhijian Zhou, Qianyu He, Fenglei Cao, Jiaqing Liang, Yuan Qi
2025	J	`jnl`	ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibility Data. CoRR Yifeng Jiao, Yuchen Liu, Yu Zhang, Xin Guo, Yushuai Wu, Chen Jiang, Jiyang Li, Hongwei Zhang, Limei Han, Xin Gao, Yuan Qi, Yuan Cheng
2025	J	`jnl`	Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning. CoRR Xuan Zhang, Zhijian Zhou, Weidi Xu, Yanting Miao, Chao Qu, Yuan Qi
2025	J	`jnl`	Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards. CoRR Xuan Zhang, Ruixiao Li, Zhijian Zhou, Long Li, Yulei Qin, Ke Li, Xing Sun, Xiaoyu Tan, Chao Qu, Yuan Qi
2025	J	`jnl`	DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training. CoRR Zhixin Wang, Tianyi Zhou, Liming Liu, Ao Li, Jiarui Hu, Dian Yang, Jinlong Hou, Siyuan Feng, Yuan Cheng, Yuan Qi
2025	A*	`conf`	Efficient Network Automatic Relevance Determination. ICML Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi
2025	J	`jnl`	Efficient Network Automatic Relevance Determination. CoRR Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi
2025	—	`conf`	Enhancing the Reliability of Auto-Prompting SAM for Medical Image Segmentation with Uncertainty Estimation and Rectification. ICCVW Yichi Zhang, Shiyao Hu, Le Xue, Sijie Ren, Zixin Hu, Yuan Cheng, Yuan Qi
2025	A*	`conf`	Equivariant Masked Position Prediction for Efficient Molecular Representation. ICLR Junyi An, Chao Qu, Yunfei Shi, Xinhao Liu, Qianwei Tang, Fenglei Cao, Yuan Qi
2025	J	`jnl`	Equivariant Masked Position Prediction for Efficient Molecular Representation. CoRR Junyi An, Chao Qu, Yunfei Shi, Xinhao Liu, Qianwei Tang, Fenglei Cao, Yuan Qi
2025	J	`jnl`	Equivariant Spherical Transformer for Efficient Molecular Modeling. CoRR Junyi An, Xinyu Lu, Chao Qu, Yunfei Shi, Peijia Lin, Qianwei Tang, Licheng Xu, Fenglei Cao, Yuan Qi
2025	J	`jnl`	Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation. CoRR Zhijian Zhou, Junyi An, Zongkai Liu, Yunfei Shi, Xuan Zhang, Fenglei Cao, Chao Qu, Yuan Qi
2025	J	`jnl`	I2HGNN: Iterative Interpretable HyperGraph Neural Network for semi-supervised classification. Neural Networks Hongwei Zhang, Saizhuo Wang, Zixin Hu, Yuan Qi, Zengfeng Huang, Jian Guo
2025	A	`conf`	Leave the Bias in Bias: Mitigating the Label Noise Effects in Continual Visual Instruction Fine-Tuning. ICME Xiaoyu Tan, Teqi Hao, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
2025	—	`conf`	Meta-Agent-Workflow: Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement. WWW (Companion Volume) Xiaoyu Tan, Bin Li, Xihe Qiu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi
2025	—	`conf`	OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. ACL (1) Siming Huang, Tianhao Cheng, Jason Klein Liu, Weidi Xu, Jiaran Hao, Liuyihan Song, Yang Xu, Jian Yang, Jiaheng Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Xianzhen Luo, Qiufeng Wang, Yuantao Fan, Qingfu Zhu, Zhaoxiang Zhang, Yang Gao, Jie Fu, Qian Liu, Houyi Li, Ge Zhang, Yuan Qi, Yinghui Xu, Wei Chu, Zili Wang
2025	J	`jnl`	PAST: A multimodal single-cell foundation model for histopathology and spatial transcriptomics in cancer. CoRR Changchun Yang, Haoyang Li, Yushuai Wu, Yilan Zhang, Yifeng Jiao, Yu Zhang, Rihan Huang, Yuan Cheng, Yuan Qi, Xin Guo, Xin Gao
2025	J	`jnl`	PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography. CoRR Yichi Zhang, Wenbo Zhang, Zehui Ling, Gang Feng, Sisi Peng, Deshu Chen, Yuchen Liu, Hongwei Zhang, Shuqi Wang, Lanlan Li, Limei Han, Yuan Cheng, Zixin Hu, Yuan Qi, Le Xue
2025	—	`conf`	Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support. MICCAI (10) Xiaoyu Tan, Bin Li, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi, Xihe Qiu
2025	J	`jnl`	SCP-116K: A High-Quality Problem-Solution Dataset and a Generalized Pipeline for Automated Extraction in the Higher Education Science Domain. CoRR Dakuan Lu, Xiaoyu Tan, Rui Xu, Tianchu Yao, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi
2025	J	`jnl`	SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images. CoRR Yichi Zhang, Le Xue, Wenbo Zhang, Lanlan Li, Yuchen Liu, Chen Jiang, Yuan Cheng, Yuan Qi
2025	J	`jnl`	SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models. CoRR Yichi Zhang, Bohao Lv, Le Xue, Wenbo Zhang, Yuchen Liu, Yu Fu, Yuan Cheng, Yuan Qi
2025	J	`jnl`	SemiSAM+: Rethinking semi-supervised medical image segmentation in the era of foundation models. Medical Image Anal. Yichi Zhang, Bohao Lv, Le Xue, Wenbo Zhang, Yuchen Liu, Yu Fu, Yuan Cheng, Yuan Qi
2025	—	`conf`	Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data Scenarios. KDD (1) Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Leijun Cheng, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
2025	J	`jnl`	Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning. CoRR Tan Pan, Zhaorui Tan, Kaiyu Guo, Dongli Xu, Weidi Xu, Chen Jiang, Xin Guo, Yuan Qi, Yuan Cheng
2025	J	`jnl`	The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward. CoRR Long Li, Jiaran Hao, Jason Klein Liu, Zhijian Zhou, Xiaoyu Tan, Wei Chu, Zhe Wang, Shirui Pan, Chao Qu, Yuan Qi
2025	J	`jnl`	Unleashing Flow Policies with Distributional Critics. CoRR Deshu Chen, Yuchen Liu, Zhijian Zhou, Chao Qu, Yuan Qi
2024	J	`jnl`	4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment. CoRR Kaihui Cheng, Ce Liu, Qingkun Su, Jun Wang, Liwei Zhang, Yining Tang, Yao Yao, Siyu Zhu, Yuan Qi
2024	J	`jnl`	AI2Apps: A Visual IDE for Building LLM-based AI Agent Applications. CoRR Xin Pang, Zhucong Li, Jiaxiang Chen, Yuan Cheng, Yinghui Xu, Yuan Qi
2024	J	`jnl`	An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis. CoRR Yingchen Wei, Xihe Qiu, Xiaoyu Tan, Jingjing Huang, Wei Chu, Yinghui Xu, Yuan Qi
2024	J	`jnl`	Can we only use guideline instead of shot in prompt? CoRR Jiaxiang Chen, Song Wang, Zhucong Li, Wayne Xiong, Lizhen Qu, Zenglin Xu, Yuan Qi
2024	J	`jnl`	Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. CoRR Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2024	J	`jnl`	Dynamic PDB: A New Dataset and a SE(3) Model Extension by Integrating Dynamic Behaviors and Physical Properties in Protein Structures. CoRR Ce Liu, Jun Wang, Zhiqiang Cai, Yingxu Wang, Huizhen Kuang, Kaihui Cheng, Liwei Zhang, Qingkun Su, Yining Tang, Fenglei Cao, Limei Han, Siyu Zhu, Yuan Qi
2024	A*	`conf`	Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. KDD Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
2024	A*	`conf`	Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. SIGIR Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
2024	—	`conf`	Exploring CNN and Transformer Architectures for Multi-class Bi-Atrial Segmentation from Late Gadolinium-Enhanced MRI. CMRxRecon/MBAS/STACOM@MICCAI Yichi Zhang, Yuan Cheng, Yuan Qi
2024	J	`jnl`	FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data. CoRR Yukun Zhang, Guanzhong Chen, Zenglin Xu, Jianyong Wang, Dun Zeng, Junfan Li, Jinghua Wang, Yuan Qi, Irwin King
2024	J	`jnl`	FuXi Weather: An end-to-end machine learning weather data assimilation and forecasting system. CoRR Xiuyu Sun, Xiaohui Zhong, Xiaoze Xu, Yuanqing Huang, Hao Li, Jie Feng, Wei Han, Libo Wu, Yuan Qi
2024	A*	`conf`	Hybrid Directional Graph Neural Network for Molecules. ICLR Junyi An, Chao Qu, Zhipeng Zhou, Fenglei Cao, Yinghui Xu, Yuan Qi, Furao Shen
2024	J	`jnl`	Incentive-Aware Recommender Systems in Two-Sided Markets. Trans. Recomm. Syst. Xiaowu Dai, Wenlu Xu, Yuan Qi, Michael I. Jordan
2024	J	`jnl`	OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. CoRR Siming Huang, Tianhao Cheng, Jason Klein Liu, Jiaran Hao, Liuyihan Song, Yang Xu, J. Yang, J. H. Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Zhaoxiang Zhang, Jie Fu, Qian Liu, Ge Zhang, Zili Wang, Yuan Qi, Yinghui Xu, Wei Chu
2024	J	`jnl`	PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi
2024	J	`jnl`	Personalize to generalize: Towards a universal medical multi-modality generalization through personalization. CoRR Zhaorui Tan, Xi Yang, Tan Pan, Tianyi Liu, Chen Jiang, Xin Guo, Qiufeng Wang, Anh Nguyen, Yuan Qi, Kaizhu Huang, Yuan Cheng
2024	J	`jnl`	Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory. CoRR Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Jing Pan, Jue Chen, Zhijun Fang, Yinghui Xu, Wei Chu, Yuan Qi
2024	—	`conf`	SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency Regularization. BIBM Yichi Zhang, Jin Yang, Yuchen Liu, Yuan Cheng, Yuan Qi
2024	A*	`conf`	Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. ICML Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi
2024	J	`jnl`	Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. CoRR Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi
2024	J	`jnl`	Struct-X: Enhancing Large Language Models Reasoning with Structured Data. CoRR Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi
2024	J	`jnl`	Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye
2024	J	`jnl`	Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though. CoRR Xiaoyu Tan, Yongxin Deng, Xihe Qiu, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi
2024	J	`jnl`	Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models. CoRR Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu, Yujie Xiong, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi
2024	—	`conf`	ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. EMNLP (Industry Track) Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
2024	J	`jnl`	Unraveling the motion and deformation characteristics of red blood cells in a deterministic lateral displacement device. Comput. Biol. Medicine Shuai Liu, Shuo Chen, Lanlan Xiao, Kaixuan Zhang, Yuan Qi, Hao Li, Yuan Cheng, Zixin Hu, Chensen Lin
2023	A*	`conf`	Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning. ACM Multimedia Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi
2023	J	`jnl`	Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning. CoRR Chen Jiang, Hong Liu, Xuzheng Yu, Qing Wang, Yuan Cheng, Jia Xu, Zhongyi Liu, Qingpei Guo, Wei Chu, Ming Yang, Yuan Qi
2023	J	`jnl`	FuXi-Extreme: Improving extreme rainfall and wind forecasts with diffusion model. CoRR Xiaohui Zhong, Lei Chen, Jun Liu, Chensen Lin, Yuan Qi, Hao Li
2023	J	`jnl`	FuXi-S2S: An accurate machine learning model for global subseasonal forecasts. CoRR Lei Chen, Xiaohui Zhong, Jie Wu, Deliang Chen, Shang-Ping Xie, Qingchen Chao, Chensen Lin, Zixin Hu, Bo Lu, Hao Li, Yuan Qi
2023	J	`jnl`	FuXi: A cascade machine learning forecasting system for 15-day global weather forecast. CoRR Lei Chen, Xiaohui Zhong, Feng Zhang, Yuan Cheng, Yinghui Xu, Yuan Qi, Hao Li
2023	J	`jnl`	InfMLLM: A Unified Framework for Visual-Language Tasks. CoRR Qiang Zhou, Zhibin Wang, Wei Chu, Yinghui Xu, Hao Li, Yuan Qi
2023	—	`conf`	PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. EMNLP (Industry Track) Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi
2023	J	`jnl`	PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. CoRR Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi
2023	A*	`conf`	Provably Invariant Learning without Domain Information. ICML Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi
2023	—	`conf`	SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels. ACL (industry) Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi
2023	J	`jnl`	Segment Anything Model with Uncertainty Rectification for Auto-Prompting Medical Image Segmentation. CoRR Yichi Zhang, Shiyao Hu, Chen Jiang, Yuan Cheng, Yuan Qi
2023	—	`conf`	Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness. EMNLP (Industry Track) Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi
2023	J	`jnl`	SemiSAM: Exploring SAM for Enhancing Semi-Supervised Medical Image Segmentation with Extremely Limited Annotations. CoRR Yichi Zhang, Yuan Cheng, Yuan Qi
2022	A*	`conf`	Design Domain Specific Neural Network via Symbolic Testing. KDD Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi
2022	J	`jnl`	Incentive-Aware Recommender Systems in Two-Sided Markets. CoRR Xiaowu Dai, Yuan Qi, Michael I. Jordan
2021	J	`jnl`	Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. CoRR Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
2021	A	`conf`	Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. CIKM Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
2021	A*	`conf`	Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. AAAI Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
2021	J	`jnl`	SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing. CoRR Hui Li, Xing Fu, Ruofan Wu, Jinyu Xu, Kai Xiao, Xiaofu Chang, Weiqiang Wang, Shuai Chen, Leilei Shi, Tao Xiong, Yuan Qi
2021	A	`conf`	Temporal-Aware Graph Neural Network for Credit Risk Prediction. SDM Daixin Wang, Zhiqiang Zhang, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi
2020	J	`jnl`	A Semi-supervised Graph Attentive Network for Financial Fraud Detection. CoRR Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi
2020	J	`jnl`	AGL: A Scalable System for Industrial-purpose Graph Machine Learning. Proc. VLDB Endow. Dalong Zhang, Xin Huang, Ziqi Liu, Jun Zhou, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Lin Wang, Zhiqiang Zhang, Yuan Qi
2020	J	`jnl`	AGL: a Scalable System for Industrial-purpose Graph Machine Learning. CoRR Dalong Zhang, Xin Huang, Ziqi Liu, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Zhiqiang Zhang, Lin Wang, Jun Zhou, Shuang Yang, Yuan Qi
2020	A*	`conf`	Bandit Samplers for Training Graph Neural Networks. NeurIPS Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
2020	J	`jnl`	Bandit Samplers for Training Graph Neural Networks. CoRR Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
2020	A	`conf`	Continuous-Time Dynamic Graph Learning via Neural Interaction Processes. CIKM Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song, Yuan Qi
2020	A*	`conf`	Cost-Effective Incentive Allocation via Structured Counterfactual Inference. AAAI Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song
2020	A*	`conf`	Double Neural Counterfactual Regret Minimization. ICLR Hui Li, Kailiang Hu, Shaohua Zhang, Yuan Qi, Le Song
2020	A*	`conf`	Efficient Probabilistic Logic Reasoning with Graph Neural Networks. ICLR Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
2020	J	`jnl`	Efficient Probabilistic Logic Reasoning with Graph Neural Networks. CoRR Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
2020	A*	`conf`	Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining. IJCAI Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi
2020	A	`conf`	Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. ECAI Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren
2020	J	`jnl`	Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. CoRR Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren
2020	J	`jnl`	Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CoRR Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
2020	J	`jnl`	How Much Can A Retailer Sell? Sales Forecasting on Tmall. CoRR Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong
2020	A*	`conf`	Hubble: An Industrial System for Audience Expansion in Mobile Marketing. KDD Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi
2020	J	`jnl`	InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. CoRR Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi
2020	J	`jnl`	Intention Propagation for Multi-agent Reinforcement Learning. CoRR Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song
2020	A	`conf`	Loan Default Analysis with Multiplex Graph Learning. CIKM Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi
2020	A*	`conf`	Long Short-Term Sample Distillation. AAAI Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi
2020	J	`jnl`	Long Short-Term Sample Distillation. CoRR Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi
2020	J	`jnl`	Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. CoRR Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
2020	J	`jnl`	NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. CoRR Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan Qi
2020	J	`jnl`	Practical Privacy Preserving POI Recommendation. CoRR Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng
2020	J	`jnl`	Practical Privacy Preserving POI Recommendation. ACM Trans. Intell. Syst. Technol. Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng
2020	—	`conf`	Question Directed Graph Attention Network for Numerical Reasoning over Text. EMNLP (1) Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu
2020	J	`jnl`	Question Directed Graph Attention Network for Numerical Reasoning over Text. CoRR Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu
2020	J	`jnl`	RNE: A Scalable Network Embedding for Billion-scale Recommendation. CoRR Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan Qi
2020	J	`jnl`	Riemannian Proximal Policy Optimization. CoRR Shijun Wang, Baocheng Zhu, Chen Li, Mingzhe Wu, James Zhang, Wei Chu, Yuan Qi
2020	A*	`conf`	SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. ACL Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi
2020	J	`jnl`	SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. CoRR Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi
2020	A*	`conf`	Temporal Logic Point Processes. ICML Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song
2020	J	`jnl`	Uncovering Insurance Fraud Conspiracy with Network Learning. CoRR Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi
2019	A*	`conf`	A Semi-Supervised Graph Attentive Network for Financial Fraud Detection. ICDM Daixin Wang, Yuan Qi, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang
2019	J	`jnl`	Can Graph Neural Networks Help Logic Reasoning? CoRR Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
2019	A*	`conf`	Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi
2019	J	`jnl`	Cost-Effective Incentive Allocation via Structured Counterfactual Inference. CoRR Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song
2019	A*	`conf`	Generative Adversarial User Model for Reinforcement Learning Based Recommendation System. ICML Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song
2019	A*	`conf`	GeniePath: Graph Neural Networks with Adaptive Receptive Paths. AAAI Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi
2019	A	`conf`	Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CIKM Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
2019	—	`conf`	How Much Can A Retailer Sell? Sales Forecasting on Tmall. PAKDD (2) Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong
2019	—	`conf`	InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. IEEE BigData Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi
2019	A*	`conf`	Latent Dirichlet Allocation for Internet Price War. AAAI Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
2019	J	`jnl`	TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. Proc. VLDB Endow. Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi
2019	A*	`conf`	Uncovering Insurance Fraud Conspiracy with Network Learning. SIGIR Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi
2019	A*	`conf`	Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
2019	J	`jnl`	Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
2018	J	`jnl`	A Policy Gradient Method with Variance Reduction for Uplift Modeling. CoRR Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
2018	J	`jnl`	Double Neural Counterfactual Regret Minimization. CoRR Hui Li, Kailiang Hu, Zhibang Ge, Tao Jiang, Yuan Qi, Le Song
2018	J	`jnl`	Latent Dirichlet Allocation for Internet Price War. CoRR Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
2018	J	`jnl`	Neural Model-Based Reinforcement Learning for Recommendation. CoRR Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song
2018	—	`conf`	Personalized Behavior Prediction with Encoder-to-Decoder Structure. NAS Tong Yin, Xiaotie Deng, Yuan Qi, Wei Chu, Jing Pan, Xiang Yan, Junwu Xiong
2017	A*	`conf`	Asynchronous Distributed Variational Gaussian Process for Regression. ICML Hao Peng, Shandian Zhe, Xiao Zhang, Yuan Qi
2017	J	`jnl`	DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates. Bioinform. Hao Peng, Yifan Yang, Shandian Zhe, Jian Wang, Michael Gribskov, Yuan Qi
2016	A*	`conf`	Annealed Sparsity via Adaptive and Dynamic Shrinking. KDD Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye
2016	J	`jnl`	Association Discovery and Diagnosis of Alzheimer's Disease with Bayesian Multiview Learning. J. Artif. Intell. Res. Zenglin Xu, Shandian Zhe, Yuan Qi, Peng Yu
2016	A*	`conf`	DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays. AAAI Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian M. Molloy, Suresh Chari
2016	—	`conf`	Distributed Flexible Nonlinear Tensor Factorization. NIPS Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-Chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani
2016	J	`jnl`	Distributed Flexible Nonlinear Tensor Factorization. CoRR Shandian Zhe, Pengyuan Wang, Kuang-Chih Lee, Zenglin Xu, Jian Yang, Youngja Park, Yuan Qi
2016	A*	`conf`	Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models. IJCAI Syed Abbas Zilqurnain Naqvi, Shandian Zhe, Yuan Qi, Yifan Yang, Jieping Ye
2015	A*	`conf`	Bayesian Maximum Margin Principal Component Analysis. AAAI Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi
2015	A*	`conf`	Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease. AAAI Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu
2014	J	`jnl`	Generating Summary Risk Scores for Mobile Applications. IEEE Trans. Dependable Secur. Comput. Christopher S. Gates, Ninghui Li, Hao Peng, Bhaskar Pratim Sarma, Yuan Qi, Rahul Potharaju, Cristina Nita-Rotaru, Ian M. Molloy
2014	Misc	`conf`	Joint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning. Pacific Symposium on Biocomputing Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu
2014	A	`conf`	Nonparametric Bayesian Multi-Task Large-margin Classification. ECAI Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He
2013	J	`jnl`	DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements. CoRR Shandian Zhe, Yuan Qi, Youngja Park, Ian M. Molloy, Suresh Chari
2013	J	`jnl`	Joint network and node selection for pathway-based genomic data analysis. Bioinform. Shandian Zhe, Syed A. Z. Naqvi, Yifan Yang, Yuan Qi
2013	J	`jnl`	Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis CoRR Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu
2012	A*	`conf`	Minimizing private data disclosures in the smart grid. CCS Weining Yang, Ninghui Li, Yuan Qi, Wahbeh H. Qardaji, Stephen E. McLaughlin, Patrick D. McDaniel
2012	A*	`conf`	Using probabilistic generative models for ranking risks of Android apps. CCS Hao Peng, Christopher S. Gates, Bhaskar Pratim Sarma, Ninghui Li, Yuan Qi, Rahul Potharaju, Cristina Nita-Rotaru, Ian M. Molloy
2001	—	`conf`	The Bayes Point Machine for computer-user frustration detection via pressuremouse. PUI Yuan Qi, Carson Reynolds, Rosalind W. Picard