Peng Dai - RankMe

51 papers A* 17A 6Misc 1Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Multi-Behavior Graph Neural Networks for Recommender System. IEEE Trans. Neural Networks Learn. Syst. Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
2023	J	`jnl`	Multi-Behavior Graph Neural Networks for Recommender System. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
2022	J	`jnl`	An Efficient and Robust System for Vertically Federated Random Forest. CoRR Houpu Yao, Jiazhou Wang, Peng Dai, Liefeng Bo, Yanqing Chen
2022	J	`jnl`	Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo
2022	J	`jnl`	Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
2021	A*	`conf`	EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. ICDE Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo
2021	J	`jnl`	Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform. CoRR Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen
2021	A*	`conf`	Graph Meta Network for Multi-Behavior Recommendation. SIGIR Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
2021	J	`jnl`	Graph Meta Network for Multi-Behavior Recommendation. CoRR Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
2021	A*	`conf`	Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. AAAI Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
2021	J	`jnl`	Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. CoRR Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
2021	A*	`conf`	Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo
2021	J	`jnl`	Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo
2021	A*	`conf`	Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
2021	J	`jnl`	Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
2021	A*	`conf`	Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. ICDE Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo
2021	J	`jnl`	Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
2021	A	`conf`	Social Recommendation with Self-Supervised Metagraph Informax Network. CIKM Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo
2021	J	`jnl`	Social Recommendation with Self-Supervised Metagraph Informax Network. CoRR Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo
2021	A*	`conf`	Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. IJCAI Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
2021	A*	`conf`	Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
2021	J	`jnl`	Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. CoRR Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
2020	A*	`conf`	Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. IJCAI Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo
2020	A	`conf`	Generative Adversarial Attributed Network Anomaly Detection. CIKM Zhenxing Chen, Bo Liu, Meiqing Wang, Peng Dai, Jun Lv, Liefeng Bo
2020	A	`conf`	Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. ECAI Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo
2020	A*	`conf`	Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. SIGIR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
2019	A	`conf`	Deep Dynamic Fusion Network for Traffic Accident Forecasting. CIKM Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo
2019	J	`jnl`	EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. CoRR Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo
2019	J	`jnl`	Heterogeneous Deep Graph Infomax. CoRR Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang
2016	A	`conf`	AppGrouper: Knowledge-based Interactive Clustering Tool for App Search Results. IUI Shuo Chang, Peng Dai, Lichan Hong, Cheng Sheng, Tianjiao Zhang, Ed H. Chi
2016	J	`jnl`	Crowdsourcing Human Annotation on Web Page Structure: Infrastructure Design and Behavior-Based Quality Control. ACM Trans. Intell. Syst. Technol. Shuguang Han, Peng Dai, Praveen K. Paritosh, David Huynh
2015	A	`conf`	And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions. CSCW Peng Dai, Jeffrey M. Rzeszotarski, Praveen K. Paritosh, Ed H. Chi
2015	—	`conf`	Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning. WWW (Companion Volume) Shuo Chang, Peng Dai, Jilin Chen, Ed Huai-hsin Chi
2014	J	`jnl`	Topological Value Iteration Algorithms. CoRR Peng Dai, Mausam, Daniel Sabby Weld, Judy Goldsmith
2013	—	`ch.`	Constructing Crowdsourced Workflows. Handbook of Human Computation Peng Dai
2013	—	`conf`	Inserting Micro-Breaks into Crowdsourcing Workflows. HCOMP (Works in Progress / Demos) Jeffrey M. Rzeszotarski, Ed H. Chi, Praveen K. Paritosh, Peng Dai
2013	J	`jnl`	POMDP-based control of workflows for crowdsourcing. Artif. Intell. Peng Dai, Christopher H. Lin, Mausam, Daniel S. Weld
2012	A*	`conf`	Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors. ICAPS Andrey Kolobov, Peng Dai, Mausam, Daniel S. Weld
2011	A*	`conf`	Artificial Intelligence for Artificial Artificial Intelligence. AAAI Peng Dai, Mausam, Daniel S. Weld
2011	—	`conf`	Execution control for crowdsourcing. UIST (Adjunct Volume) Daniel S. Weld, Mausam, Peng Dai
2011	—	`conf`	Human Intelligence Needs Artificial Intelligence. Human Computation Daniel S. Weld, Mausam, Peng Dai
2011	J	`jnl`	Topological Value Iteration Algorithms. J. Artif. Intell. Res. Peng Dai, Mausam, Daniel S. Weld, Judy Goldsmith
2010	A*	`conf`	Decision-Theoretic Control of Crowd-Sourced Workflows. AAAI Peng Dai, Mausam, Daniel S. Weld
2010	J	`jnl`	Ranking policies in discrete Markov decision processes. Ann. Math. Artif. Intell. Peng Dai, Judy Goldsmith
2009	A*	`conf`	Domain-Independent, Automatic Partitioning for Probabilistic Planning. IJCAI Peng Dai, Mausam, Daniel S. Weld
2009	—	`conf`	Finding Best ADT Peng Dai, Judy Goldsmith
2009	A*	`conf`	Focused Topological Value Iteration. ICAPS Peng Dai, Mausam, Daniel S. Weld
2008	—	`conf`	Expediting RL by using graphical structures. AAMAS (3) Peng Dai, Alexander L. Strehl, Judy Goldsmith
2008	A*	`conf`	Partitioned External-Memory Value Iteration. AAAI Peng Dai, Mausam, Daniel S. Weld
2007	Misc	`conf`	Multi-Threaded BLAO* Algorithm. FLAIRS Peng Dai, Judy Goldsmith
2007	A*	`conf`	Topological Value Iteration Algorithm for Markov Decision Processes. IJCAI Peng Dai, Judy Goldsmith