| 2023 | CIKM | Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation. | Boxin Du, Robert A. Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail B. Tutar, Changhe Yuan |
| 2023 | CIKM | Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. | Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong |
| 2023 | EMNLP | Deep Metric Learning to Hierarchically Rank - An Application in Product Retrieval. | Kee Kiat Koo, Ashutosh Joshi, Nishaanth Reddy, Karim Bouyarmane, Ismail B. Tutar, Vaclav Petricek, Changhe Yuan |
| 2022 | WWW | AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions. | Quoc-Tuan Truong, Tong Zhao, Changhe Yuan, Jin Li, Jim Chan, Soo-Min Pantel, Hady W. Lauw |
| 2021 | AAAI | Improving Causal Discovery By Optimal Bayesian Network Learning. | Ni Y. Lu, Kun Zhang, Changhe Yuan |
| 2020 | IJCNN | Diversity in Neural Architecture Search. | Wenzheng Hu, Mingyang Li, Changhe Yuan, Changshui Zhang, Jianqiang Wang |
| 2019 | AAAI | Learning Diverse Bayesian Networks. | Cong Chen, Changhe Yuan |
| 2019 | IJCAI | Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. | Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen |
| 2019 | MICCAI | Diverse Multiple Prediction on Neuron Image Reconstruction. | Ze Ye, Cong Chen, Changhe Yuan, Chao Chen |
| 2019 | UAI | Variational Training for Large-Scale Noisy-OR Bayesian Networks. | Geng Ji, Dehua Cheng, Huazhong Ning, Changhe Yuan, Hanning Zhou, Liang Xiong, Erik B. Sudderth |
| 2016 | IJCAI | Solving M-Modes Using Heuristic Search. | Cong Chen, Changhe Yuan, Chao Chen |
| 2015 | AAAI | An Improved Lower Bound for Bayesian Network Structure Learning. | Xiannian Fan, Changhe Yuan |
| 2015 | AAAI | An Exact Algorithm for Solving Most Relevant Explanation in Bayesian Networks. | Xiaoyuan Zhu, Changhe Yuan |
| 2015 | FlAIRS | Hierarchical Beam Search for Solving Most Relevant Explanation in Bayesian Networks. | Xiaoyuan Zhu, Changhe Yuan |
| 2014 | AAAI | Tightening Bounds for Bayesian Network Structure Learning. | Xiannian Fan, Changhe Yuan, Brandon M. Malone |
| 2014 | UAI | Finding Optimal Bayesian Network Structures with Constraints Learned from Data. | Xiannian Fan, Brandon M. Malone, Changhe Yuan |
| 2014 | SDM | Result Integrity Verification of Outsourced Bayesian Network Structure Learning. | Ruilin Liu, Wendy Hui Wang, Changhe Yuan |
| 2013 | UAI | Solving Limited-Memory Influence Diagrams Using Branch-and-Bound Search. | Arindam Khaled, Eric A. Hansen, Changhe Yuan |
| 2013 | UAI | Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks. | Brandon M. Malone, Changhe Yuan |
| 2012 | ISAIM | Solving Limited Memory Influence Diagrams Using Branch-and-Bound Search. | Arindam Khaled, Changhe Yuan, Eric A. Hansen |
| 2012 | UAI | An Improved Admissible Heuristic for Learning Optimal Bayesian Networks. | Changhe Yuan, Brandon M. Malone |
| 2011 | AAAI | Memory-Efficient Dynamic Programming for Learning Optimal Bayesian Networks. | Brandon M. Malone, Changhe Yuan, Eric A. Hansen |
| 2011 | IJCAI | Learning Optimal Bayesian Networks Using A* Search. | Changhe Yuan, Brandon M. Malone, XiaoJian Wu |
| 2011 | UAI | Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search. | Brandon M. Malone, Changhe Yuan, Eric A. Hansen, Susan Bridges |
| 2010 | ISAIM | Computational complexity and approximization methods of most relevant explanation. | Heejin Lim, Changhe Yuan |
| 2010 | ISAIM | Solving influence diagrams using heuristic search. | Changhe Yuan, XiaoJian Wu |
| 2010 | UAI | Solving Multistage Influence Diagrams using Branch-and-Bound Search. | Changhe Yuan, XiaoJian Wu, Eric A. Hansen |
| 2009 | IJCAI | Efficient Computation of Jointree Bounds for Systematic MAP Search. | Changhe Yuan, Eric A. Hansen |
| 2009 | UAI | Most Relevant Explanation: Properties, Algorithms, and Evaluations. | Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim |
| 2008 | AAAI | A General Framework for Generating Multivariate Explanations in Bayesian Networks. | Changhe Yuan, Tsai-Ching Lu |
| 2007 | AAAI | Generalized Evidence Pre-propagated Importance Sampling for Hybrid Bayesian Networks. | Changhe Yuan, Marek J. Druzdzel |
| 2007 | AI | Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks. | Changhe Yuan, Marek J. Druzdzel |
| 2007 | IJCAI | Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks. | Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan |
| 2005 | FlAIRS | How Heavy Should the Tails Be? | Changhe Yuan, Marek J. Druzdzel |
| 2004 | UAI | Annealed MAP. | Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel |
| 2003 | UAI | An Importance Sampling Algorithm Based on Evidence Pre-propagation. | Changhe Yuan, Marek J. Druzdzel |