Research

My research interests are in machine learning, decision theory, human computation and automated planning.

Services

Editorial Board Members:

Human Computation 2013-Now
International Journal of Multimedia Technology 2011-2013

Program Committee Members:

ASONAM 2014 2013 2012
ICAPS 2012 2011
AAAI 2012 2011
IJCAI 2016 2013 2011

Journal and Conference Reviewers:

Artificial Intelligence
Journal of Information and Computation
International Journal on Artificial Intelligence Tools
CHI 2016, 2015, 2014
CSCW 2016, 2014
ICAPS 2010, 2009, 2008
AAMAS 2008
AAAI 2006
IJCAI 2009
UAI 2006, 2005

Publications (by chronological order)

Refereed Journal Articles:

Crowdsourcing human annotation on web page structure: Infrastructure design and behavior-based quality control, Shuguang Han, Peng Dai, Praveen Paritosh, David Huynh. ACM Transactions on Intelligent Systems and Technology (TIST) 7 (4), 56
POMDP-Based Control of Workflows for Crowdsourcing, Peng Dai, Christopher Lin, Mausam, and Daniel S. Weld Artificial Intelligence Journal (2013) 202. 52-85
Topological Value Iteration Algorithms, Peng Dai , Mausam, Daniel S. Weld and Judy Goldsmith. Journal of Artificial Intelligence Research. (2011) 42. 181-209
Ranking Policies in Discrete Markov Decision Processes, Peng Dai and Judy Goldsmith. Annals of Mathematics and Artificial Intelligence. (2010) 59: 107-123

Refereed Conference Papers:

Social Recommendation with Self-Supervised Metagraph Informax Network. Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo. ACM International Conference on Information & Knowledge Management. 2021. 1160-1169.
Graph meta network for multi-behavior recommendation. Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo. SIGIR 2021. 757-766.
Knowledge-Aware Coupled Graph Neural Network for Social Recommendation. Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye. AAAI 2021. 4115-4122.
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang. AAAI 2021. 4123-4130.
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo. AAAI 2021. 4486-4493.
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng. AAAI 2021. 15008-15015.
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. Chao Huang, Lianghao Xia, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo. SIGIR 2020. 2397-2406.
Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo. IJCAI 2020. 4359-4365.
Joint Modeling of Local and Global Behavior Dynamics for Session-based Recommendation. Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo. ECAI 2020. 545-552.
Deep Dynamic Fusion Network for Traffic Accident Forecasting. Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo. CIKM 2019. 2673-2681.
AppGrouper: Knowledge-based interactive clustering tool for app search results, Shuo Chang, Peng Dai, Lichan Hong, Cheng Sheng, Tianjiao Zhang, Ed. H Chi. Proceedings of the 21st International Conference on Intelligent User Interfaces, Sonoma, CA, March 2016. 348-358
Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning. Shuo Chang, Peng Dai, Jilin Chen, Ed H Chi. WWW 2015: 397-406.
Got Many Labels?: Deriving Topic Labels from Multiple Sources for Social Media Posts using Crowdsourcing and Ensemble Learning, Shuo Chang, Peng Dai, Jilin Chen, Ed H Chi. WWW 2015: 397-406
And Now for Something Completely Different: Improving Crowdsourcing Workflows with Micro-Diversions, Peng Dai, Jeffrey M. Rzeszotarski, Praveen Paritosh and Ed H. Chi. CSCW 2015: 628-638
Artificial Intelligence for Artificial Artificial Intelligence, Peng Dai, Mausam and Daniel S. Weld. Twenty-Fourth National Conference on Artificial Intelligence (AAAI-11). San Francisco, CA, August 2011.
Decision-Theoretic Control of Crowd-Sourced Workflows, Peng Dai, Mausam and Daniel S. Weld. Twenty-Fourth National Conference on Artificial Intelligence (AAAI-10). Atlanta, GA, July 2010.
Finding k best policies, Peng Dai and Judy Goldsmith. First International Conference on Algorithmic Decision Theory (ADT-09). Venice, Italy, October 2009. pp.144-155
Focused Topological Value Iteration, Peng Dai, Mausam and Daniel S. Weld. Nineteenth International Conference on Automated Planning and Scheduling (ICAPS-09). Thessaloniki, Greece, September 2009. 82-89
Domain-Independent, Automatic Partitioning for Probabilistic Planning, Peng Dai, Mausam and Daniel S. Weld. Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09). Pasadena, CA, July 2009. 1677-1683
Partitioned External Memory Value Iteration, Peng Dai, Mausam and Daniel S. Weld. Twenty-Third National Conference on Artificial Intelligence (AAAI-08). Chicago, IL, July 2008. pp. 898-904
Expediting RL by Using Graphical Structures, Peng Dai, Alexander L. Strehl and Judy Goldsmith. Seventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS-08). Estoril, Portugal, May 2008. pp. 1325-1328
Prioritizing Bellman Backups without a Priority Queue, Peng Dai and Eric A. Hansen. Seventeenth International Conference on Automated Planning and Scheduling (ICAPS-07). Providence, RI, September 2007. pp. 113-119
Multi-threaded BLAO* Algorithm, Peng Dai and Judy Goldsmith. Twentieth International Florida Artificial Intelligence Research Society conference (FLAIRS-07). Key West, FL, May 2007. pp. 56-62
Topological value iteration algorithm for Markov decision processes, Peng Dai and Judy Goldsmith. Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07). Hyderabad, India, January 2007. pp.1860-1865

Refereed Workshop Papers:

HDGI: An Unsupervised Graph Neural Network for Representation Learning in Heterogeneous Graph. Yuxiang Ren, Bo Liu, Peng Dai, Jiawei Zhang, Chao Huang and Liefeng Bo. DLGMA 2020.
Inserting Micro-Breaks into Crowdsourcing Workflows Jeffrey M. Rzeszotarski, Ed Chi, Praveen Paritosh, and Peng Dai Human Computation 2013 (HCOMP-13). Palm Springs, CA, November 2013.
Artificial Intelligence for Artificial Artificial Intelligence, Peng Dai, Mausam and Daniel S. Weld. HCOMP-11 The Third Human Computation Workshop, San Francisco, CA, August 2011. pp.**-**
Decision-Theoretic Control of Crowd-Sourced Workflows, Peng Dai, Mausam and Daniel S. Weld. ICAPS-10 Scheduling and Planning Applications workshop, Toronto, Canada, May 2010. pp.1-6
Heuristic Search Ideas for Deterministic and Probabilistic Problems, Peng Dai. ICAPS-08 Workshop on A Reality Check for Planning and Scheduling Under Uncertainty, Sydney, Austrilia, September 2008. pp.**-**
LAO*, RLAO*, or BLAO*, Peng Dai and Judy Goldsmith. AAAI-06 Workshop on Heuristic Search, Memory-Based Heuristics and Their Applications, Boston, MA, July 2006. pp.59-64

Technical Reports:

Decision-Theoretic Control of Crowd-Sourced Workflows, Peng Dai, Mausam and Daniel S. Weld. ICAPS-10 Doctoral Consortium
Faster Dynamic Programming for MDPs, Peng Dai and Judy Goldsmith. ICAPS-07 Doctoral Consortium

Colloquia and Invited Talks

Artificial Intelligence for Artificial Artificial Intelligence, Host: Dr. Judy Goldsmith, Department of Computer Science, University of Kentucky, KY, Feburary 2011.
Bidirectional heuristic search MDP solvers, Host: Dr. Michael L. Littman, Department of Computer Science, Rutgers University, NJ, Feburary 2007.

Previous Project at the University of Washington