Yuan Qi

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 66

Top Topics

Gaussian Process Models

Graph Representation

Hierarchical Bayesian

Top Venues

Publications

Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. CoRR (2024)
Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR (2024)
Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. SIGIR (2024)
Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi
Struct-X: Enhancing Large Language Models Reasoning with Structured Data. CoRR (2024)
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Xiaoyu Tan, Yongxin Deng, Xihe Qiu, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi
Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though. CoRR (2024)
Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu, Yujie Xiong, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi
Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models. CoRR (2024)
Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi
Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. KDD (2024)
Xiaowu Dai, Yuan Qi, Michael I. Jordan
Incentive-Aware Recommender Systems in Two-Sided Markets. CoRR (2022)
Daixin Wang, Zhiqiang Zhang, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi
Temporal-Aware Graph Neural Network for Credit Risk Prediction. SDM (2021)
Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. CoRR (2021)
Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. CIKM (2021)
Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi
Loan Default Analysis with Multiplex Graph Learning. CIKM (2020)
Chaochao Chen, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng
Practical Privacy Preserving POI Recommendation. ACM Trans. Intell. Syst. Technol. 11 (5) (2020)
Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. CoRR (2020)
Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi
Hubble: An Industrial System for Audience Expansion in Mobile Marketing. KDD (2020)
Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. CoRR (2020)
Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan Qi
RNE: A Scalable Network Embedding for Billion-scale Recommendation. CoRR (2020)
Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song, Yuan Qi
Continuous-Time Dynamic Graph Learning via Neural Interaction Processes. CIKM (2020)
Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. ECAI (2020)
Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. AAAI (2020)
Dalong Zhang, Xin Huang, Ziqi Liu, Jun Zhou, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Lin Wang, Zhiqiang Zhang, Yuan Qi
AGL: A Scalable System for Industrial-purpose Graph Machine Learning. Proc. VLDB Endow. 13 (12) (2020)
Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
Efficient Probabilistic Logic Reasoning with Graph Neural Networks. ICLR (2020)
Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi
Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining. IJCAI (2020)
Dalong Zhang, Xin Huang, Ziqi Liu, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Zhiqiang Zhang, Lin Wang, Jun Zhou, Shuang Yang, Yuan Qi
AGL: a Scalable System for Industrial-purpose Graph Machine Learning. CoRR (2020)
Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
Efficient Probabilistic Logic Reasoning with Graph Neural Networks. CoRR (2020)
Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan Qi
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. CoRR (2020)
Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi
A Semi-supervised Graph Attentive Network for Financial Fraud Detection. CoRR (2020)
Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi
Uncovering Insurance Fraud Conspiracy with Network Learning. CoRR (2020)
Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi
Long Short-Term Sample Distillation. CoRR (2020)
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
Bandit Samplers for Training Graph Neural Networks. NeurIPS (2020)
Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song
Intention Propagation for Multi-agent Reinforcement Learning. CoRR (2020)
Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu
Question Directed Graph Attention Network for Numerical Reasoning over Text. CoRR (2020)
Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong
How Much Can A Retailer Sell? Sales Forecasting on Tmall. CoRR (2020)
Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng
Practical Privacy Preserving POI Recommendation. CoRR (2020)
Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
Bandit Samplers for Training Graph Neural Networks. CoRR (2020)
Liang Jiang, Zujie Wen, Zhongping Liang, Yafang Wang, Gerard de Melo, Zhe Li, Liangzhuang Ma, Jiaxing Zhang, Xiaolong Li, Yuan Qi
Long Short-Term Sample Distillation. AAAI (2020)
Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CoRR (2020)
Hui Li, Kailiang Hu, Shaohua Zhang, Yuan Qi, Le Song
Double Neural Counterfactual Regret Minimization. ICLR (2020)
Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu
Question Directed Graph Attention Network for Numerical Reasoning over Text. EMNLP (1) (2020)
Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR (2019)
Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. CoRR (2019)
Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song
Can Graph Neural Networks Help Logic Reasoning? CoRR (2019)
Daixin Wang, Yuan Qi, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang
A Semi-Supervised Graph Attentive Network for Financial Fraud Detection. ICDM (2019)
Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. IEEE BigData (2019)
Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi
Uncovering Insurance Fraud Conspiracy with Network Learning. SIGIR (2019)
Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. AAAI (2019)
Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CIKM (2019)
Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI (2019)
Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
Latent Dirichlet Allocation for Internet Price War. AAAI (2019)
Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. Proc. VLDB Endow. 12 (12) (2019)
Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System. ICML (2019)
Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS (2019)
Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong
How Much Can A Retailer Sell? Sales Forecasting on Tmall. PAKDD (2) (2019)
Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song
Neural Model-Based Reinforcement Learning for Recommendation. CoRR (2018)
Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
Latent Dirichlet Allocation for Internet Price War. CoRR (2018)
Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
A Policy Gradient Method with Variance Reduction for Uplift Modeling. CoRR (2018)
Hui Li, Kailiang Hu, Zhibang Ge, Tao Jiang, Yuan Qi, Le Song
Double Neural Counterfactual Regret Minimization. CoRR (2018)
Hao Peng, Shandian Zhe, Xiao Zhang, Yuan Qi
Asynchronous Distributed Variational Gaussian Process for Regression. ICML (2017)
Hao Peng, Yifan Yang, Shandian Zhe, Jian Wang, Michael Gribskov, Yuan Qi
DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates. Bioinform. 33 (19) (2017)
Shandian Zhe, Pengyuan Wang, Kuang-chih Lee, Zenglin Xu, Jian Yang, Youngja Park, Yuan Qi
Distributed Flexible Nonlinear Tensor Factorization. CoRR (2016)
Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian M. Molloy, Suresh Chari
DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays. AAAI (2016)
Zenglin Xu, Shandian Zhe, Yuan Qi, Peng Yu
Association Discovery and Diagnosis of Alzheimer's Disease with Bayesian Multiview Learning. J. Artif. Intell. Res. 56 (2016)
Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye
Annealed Sparsity via Adaptive and Dynamic Shrinking. KDD (2016)
Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani
Distributed Flexible Nonlinear Tensor Factorization. NIPS (2016)
Syed Abbas Z. Naqvi, Shandian Zhe, Yuan Qi, Yifan Yang, Jieping Ye
Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models. IJCAI (2016)
Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi
Bayesian Maximum Margin Principal Component Analysis. AAAI (2015)
Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu
Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease. AAAI (2015)
Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu
Joint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning. Pacific Symposium on Biocomputing (2014)
Shandian Zhe, Yuan Qi, Youngja Park, Ian M. Molloy, Suresh Chari
DinTucker: Scaling up Gaussian process models on multidimensional arrays with billions of elements. CoRR (2013)
Shandian Zhe, Syed A. Z. Naqvi, Yifan Yang, Yuan Qi
Joint network and node selection for pathway-based genomic data analysis. Bioinform. 29 (16) (2013)
Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu
Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis CoRR (2013)
Yuan Qi, Carson Reynolds, Rosalind W. Picard
The Bayes Point Machine for computer-user frustration detection via pressuremouse. PUI (2001)