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ORCIDPeng Dai 0001
Person information
- affiliation: JD Silicon Valley Research Center, Mountain View, CA, USA
- affiliation: Google Research, Mountain View, CA, USA
- affiliation (PhD 2011): University of Washington, Seattle, WA, USA
Other persons with the same name
- Peng Dai — disambiguation page
- Peng Dai 0002
![[0000-0002-3015-7485]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3015-7485")
— Huawei Technologies Inc., Noah's Ark Lab, Markham, ON, Canada (and 4 more) - Peng Dai 0003 — University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong (and 1 more)
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2020 – today
- 2024
[j5]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo:
Multi-Behavior Graph Neural Networks for Recommender System. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5473-5487 (2024)- 2023
- [i15]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo:
Multi-Behavior Graph Neural Networks for Recommender System. CoRR abs/2302.08678 (2023) - 2022
- [i14]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo:
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. CoRR abs/2201.02307 (2022) - [i13]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. CoRR abs/2201.02435 (2022) - [i12]Houpu Yao, Jiazhou Wang, Peng Dai, Liefeng Bo, Yanqing Chen:
An Efficient and Robust System for Vertically Federated Random Forest. CoRR abs/2201.10761 (2022) - 2021
- [c30]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI 2021: 4115-4122 - [c29]Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang:
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. AAAI 2021: 4123-4130 - [c28]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI 2021: 4486-4493 - [c27]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI 2021: 15008-15015 - [c26]Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo:
Social Recommendation with Self-Supervised Metagraph Informax Network. CIKM 2021: 1160-1169 - [c25]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo:
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. ICDE 2021: 1931-1936 - [c24]Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo:
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. ICDE 2021: 2039-2044 - [c23]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. IJCAI 2021: 1631-1637 - [c22]Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo:
Graph Meta Network for Multi-Behavior Recommendation. SIGIR 2021: 757-766 - [i11]Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen:
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform. CoRR abs/2107.04129 (2021) - [i10]Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo:
Social Recommendation with Self-Supervised Metagraph Informax Network. CoRR abs/2110.03958 (2021) - [i9]Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo:
Graph Meta Network for Multi-Behavior Recommendation. CoRR abs/2110.03969 (2021) - [i8]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR abs/2110.03987 (2021) - [i7]Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang:
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. CoRR abs/2110.03996 (2021) - [i6]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR abs/2110.04000 (2021) - [i5]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo:
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. CoRR abs/2110.04002 (2021) - [i4]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. CoRR abs/2110.04038 (2021) - 2020
- [c21]Zhenxing Chen, Bo Liu, Meiqing Wang, Peng Dai, Jun Lv, Liefeng Bo:
Generative Adversarial Attributed Network Anomaly Detection. CIKM 2020: 1989-1992 - [c20]Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo:
Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. ECAI 2020: 545-552 - [c19]Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo:
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. IJCAI 2020: 4359-4365 - [c18]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo:
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. SIGIR 2020: 2397-2406
2010 – 2019
- 2019
- [c17]Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo:
Deep Dynamic Fusion Network for Traffic Accident Forecasting. CIKM 2019: 2673-2681 - [i3]Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang:
Heterogeneous Deep Graph Infomax. CoRR abs/1911.08538 (2019) - [i2]Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo:
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. CoRR abs/1912.11113 (2019) - 2016
- [j4]Shuguang Han, Peng Dai, Praveen K. Paritosh, David Huynh:
Crowdsourcing Human Annotation on Web Page Structure: Infrastructure Design and Behavior-Based Quality Control. ACM Trans. Intell. Syst. Technol. 7(4): 56:1-56:25 (2016) - [c16]Shuo Chang, Peng Dai, Lichan Hong, Cheng Sheng, Tianjiao Zhang, Ed H. Chi:
AppGrouper: Knowledge-based Interactive Clustering Tool for App Search Results. IUI 2016: 348-358 - 2015
- [c15]Peng Dai, Jeffrey M. Rzeszotarski, Praveen K. Paritosh, Ed H. Chi:
And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions. CSCW 2015: 628-638 - [c14]Shuo Chang, Peng Dai, Jilin Chen, Ed Huai-hsin Chi:
Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning. WWW (Companion Volume) 2015: 397-406 - 2014
- [i1]Peng Dai, Mausam, Daniel Sabby Weld, Judy Goldsmith:
Topological Value Iteration Algorithms. CoRR abs/1401.3910 (2014) - 2013
- [j3]Peng Dai, Christopher H. Lin, Mausam, Daniel S. Weld:
POMDP-based control of workflows for crowdsourcing. Artif. Intell. 202: 52-85 (2013) - [c13]Jeffrey M. Rzeszotarski, Ed H. Chi, Praveen K. Paritosh, Peng Dai:
Inserting Micro-Breaks into Crowdsourcing Workflows. HCOMP (Works in Progress / Demos) 2013 - [r1]Peng Dai:
Constructing Crowdsourced Workflows. Handbook of Human Computation 2013: 625-632 - 2012
- [c12]Andrey Kolobov, Peng Dai, Mausam, Daniel S. Weld:
Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors. ICAPS 2012 - 2011
- [j2]Peng Dai, Mausam, Daniel S. Weld, Judy Goldsmith:
Topological Value Iteration Algorithms. J. Artif. Intell. Res. 42: 181-209 (2011) - [c11]Peng Dai, Mausam, Daniel S. Weld:
Artificial Intelligence for Artificial Artificial Intelligence. AAAI 2011: 1153-1160 - [c10]Daniel S. Weld, Mausam, Peng Dai:
Human Intelligence Needs Artificial Intelligence. Human Computation 2011 - [c9]Daniel S. Weld, Mausam, Peng Dai:
Execution control for crowdsourcing. UIST (Adjunct Volume) 2011: 57-58 - 2010
- [j1]Peng Dai, Judy Goldsmith:
Ranking policies in discrete Markov decision processes. Ann. Math. Artif. Intell. 59(1): 107-123 (2010) - [c8]Peng Dai, Mausam, Daniel S. Weld:
Decision-Theoretic Control of Crowd-Sourced Workflows. AAAI 2010: 1168-1174
2000 – 2009
- 2009
- [c7]Peng Dai, Mausam, Daniel S. Weld:
Focused Topological Value Iteration. ICAPS 2009 - [c6]Peng Dai, Judy Goldsmith:
Finding Best k Policies. ADT 2009: 144-155 - [c5]Peng Dai, Mausam, Daniel S. Weld:
Domain-Independent, Automatic Partitioning for Probabilistic Planning. IJCAI 2009: 1677-1683 - 2008
- [c4]Peng Dai, Mausam, Daniel S. Weld:
Partitioned External-Memory Value Iteration. AAAI 2008: 898-904 - [c3]Peng Dai, Alexander L. Strehl, Judy Goldsmith:
Expediting RL by using graphical structures. AAMAS (3) 2008: 1325-1328 - 2007
- [c2]Peng Dai, Judy Goldsmith:
Multi-Threaded BLAO* Algorithm. FLAIRS 2007: 56-61 - [c1]Peng Dai, Judy Goldsmith:
Topological Value Iteration Algorithm for Markov Decision Processes. IJCAI 2007: 1860-1865
Coauthor Index
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