An Importance Sampling Algorithm Based on Evidence Pre-propagation. - Changhe Yuan; Marek J. Druzdzel (UAI, 2003)

Annealed MAP. - Changhe Yuan; Tsai-Ching Lu; Marek J. Druzdzel (UAI, 2004)

How Heavy Should the Tails Be? - Changhe Yuan; Marek J. Druzdzel (FLAIRS, 2005)

Hybrid Loopy Belief Propagation. - Changhe Yuan; Marek J. Druzdzel (Probabilistic Graphical Models, 2006)

Importance sampling algorithms for Bayesian networks: Principles and performance. - Changhe Yuan; Marek J. Druzdzel (Math. Comput. Model., 2006)

Generalized Evidence Pre-propagated Importance Sampling for Hybrid Bayesian Networks. - Changhe Yuan; Marek J. Druzdzel (AAAI, 2007)

Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks. - Changhe Yuan; Marek J. Druzdzel (Canadian AI, 2007)

Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks. - Xiaoxun Sun; Marek J. Druzdzel; Changhe Yuan (IJCAI, 2007)

Theoretical analysis and practical insights on importance sampling in Bayesian networks. - Changhe Yuan; Marek J. Druzdzel (Int. J. Approx. Reason., 2007)

Importance Sampling for General Hybrid Bayesian Networks. - Changhe Yuan; Marek J. Druzdzel (AISTATS, 2007)

A General Framework for Generating Multivariate Explanations in Bayesian Networks. - Changhe Yuan; Tsai-Ching Lu (AAAI, 2008)

Integrating Evidence for Evaluation of Potential Novel Protein-coding Genes Using Bayesian Networks. - Nan Wang 002; Changhe Yuan; Shane C. Burgess; Bindu Nanduri; Mark L. Lawrence; Susan Bridges (BIOCOMP, 2008)

Some Properties of Most Relevant Explanation. - Changhe Yuan (ExaCt, 2009)

Efficient Computation of Jointree Bounds for Systematic MAP Search. - Changhe Yuan; Eric A. Hansen (IJCAI, 2009)

Most Relevant Explanation: Properties, Algorithms, and Evaluations. - Changhe Yuan; Xiaolu Liu; Tsai-Ching Lu; Heejin Lim (UAI, 2009)

Computational complexity and approximization methods of most relevant explanation. - Heejin Lim; Changhe Yuan (ISAIM, 2010)

Solving influence diagrams using heuristic search. - Changhe Yuan; XiaoJian Wu (ISAIM, 2010)

Solving Multistage Influence Diagrams using Branch-and-Bound Search. - Changhe Yuan; XiaoJian Wu; Eric A. Hansen (UAI, 2010)

Memory-Efficient Dynamic Programming for Learning Optimal Bayesian Networks. - Brandon M. Malone; Changhe Yuan; Eric A. Hansen (AAAI, 2011)

Learning Optimal Bayesian Networks Using A* Search. - Changhe Yuan; Brandon M. Malone; XiaoJian Wu (IJCAI, 2011)

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 (UAI, 2011)

Most Relevant Explanation: computational complexity and approximation methods. - Changhe Yuan; Heejin Lim; Michael L. Littman (Ann. Math. Artif. Intell., 2011)

Most Relevant Explanation in Bayesian Networks. - Changhe Yuan; Heejin Lim; Tsai-Ching Lu (J. Artif. Intell. Res., 2011)

An Improved Admissible Heuristic for Learning Optimal Bayesian Networks. - Changhe Yuan; Brandon M. Malone (UAI, 2012)

Empirical evaluation of scoring functions for Bayesian network model selection. - Zhifa Liu; Brandon M. Malone; Changhe Yuan (BMC Bioinform., 2012)

Importance Sampling in Bayesian Networks: An Influence-Based Approximation Strategy for Importance Functions - Changhe Yuan; Marek J. Druzdzel (CoRR, 2012)

Mixture model analysis reflecting dynamics of the population diversity of 2009 pandemic H1N1 influenza virus. - Li-Ping Long; Changhe Yuan; Zhipeng Cai; Huiping Xu; Xiu-Feng Wan (Silico Biol., 2012)

A Depth-First Branch and Bound Algorithm for Learning Optimal Bayesian Networks. - Brandon M. Malone; Changhe Yuan (GKR, 2013)

Solving Limited-Memory Influence Diagrams Using Branch-and-Bound Search. - Arindam Khaled; Eric A. Hansen; Changhe Yuan (UAI, 2013)

Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks. - Brandon M. Malone; Changhe Yuan (UAI, 2013)

Learning Optimal Bayesian Networks: A Shortest Path Perspective. - Changhe Yuan; Brandon M. Malone (J. Artif. Intell. Res., 2013)

Tightening Bounds for Bayesian Network Structure Learning. - Xiannian Fan; Changhe Yuan; Brandon M. Malone (AAAI, 2014)

Result Integrity Verification of Outsourced Bayesian Network Structure Learning. - Ruilin Liu; Wendy Hui Wang; Changhe Yuan (SDM, 2014)

Finding Optimal Bayesian Network Structures with Constraints Learned from Data. - Xiannian Fan; Brandon M. Malone; Changhe Yuan (UAI, 2014)

An Improved Lower Bound for Bayesian Network Structure Learning. - Xiannian Fan; Changhe Yuan (AAAI, 2015)

An Exact Algorithm for Solving Most Relevant Explanation in Bayesian Networks. - Xiaoyuan Zhu; Changhe Yuan (AAAI, 2015)

Solving M-Modes Using Heuristic Search. - Cong Chen 008; Changhe Yuan; Chao Chen 012 (IJCAI, 2016)

Exact Algorithms for MRE Inference. - Xiaoyuan Zhu; Changhe Yuan (J. Artif. Intell. Res., 2016)

Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration. - Pengxiang Wu; Chao Chen 012; Yusu Wang 001; Shaoting Zhang 001; Changhe Yuan; Zhen Qian; Dimitris N. Metaxas; Leon Axel (IPMI, 2017)

Hierarchical beam search for solving most relevant explanation in Bayesian networks. - Xiaoyuan Zhu; Changhe Yuan (J. Appl. Log., 2017)

Solving M-Modes in Loopy Graphs Using Tree Decompositions. - Cong Chen 008; Changhe Yuan; Ze Ye; Chao Chen 012 (PGM, 2018)

Learning Diverse Bayesian Networks. - Cong Chen 008; Changhe Yuan (AAAI, 2019)

Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. - Xudong Zhang 004; Pengxiang Wu; Changhe Yuan; Yusu Wang 001; Dimitris N. Metaxas; Chao Chen 012 (IJCAI, 2019)

Diverse Multiple Prediction on Neuron Image Reconstruction. - Ze Ye; Cong Chen 008; Changhe Yuan; Chao Chen 012 (MICCAI (1), 2019)

Variational Training for Large-Scale Noisy-OR Bayesian Networks. - Geng Ji 001; Dehua Cheng; Huazhong Ning; Changhe Yuan; Hanning Zhou; Liang Xiong; Erik B. Sudderth (UAI, 2019)

Anterior insular cortex is a bottleneck of cognitive control. - Tingting Wu 002; Xingchao Wang; Qiong Wu; Alfredo Spagna; Jiaqi Yang 007; Changhe Yuan; Yanhong Wu; Zhixian Gao; Patrick R. Hof; Jin Fan (NeuroImage, 2019)

Diversity in Neural Architecture Search. - Wenzheng Hu; Mingyang Li; Changhe Yuan; Changshui Zhang; Jianqiang Wang 003 (IJCNN, 2020)

Solving Multiple Inference by Minimizing Expected Loss. - Cong Chen 008; Jiaqi Yang 007; Chao Chen 012; Changhe Yuan (PGM, 2020)

Efficient Heuristic Search for M-Modes Inference. - Cong Chen 008; Changhe Yuan; Chao Chen 012 (PGM, 2020)

Improving Causal Discovery By Optimal Bayesian Network Learning. - Ni Y. Lu; Kun Zhang 001; Changhe Yuan (AAAI, 2021)

Hypergraph Pre-training with Graph Neural Networks. - Boxin Du; Changhe Yuan; Robert A. Barton; Tal Neiman; Hanghang Tong (CoRR, 2021)

Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution. - Robert A. Barton; Tal Neiman; Changhe Yuan (IEEE Data Eng. Bull., 2021)

Novel features for art movement classification of portrait paintings. - Shao Liu; Jiaqi Yang 007; Sos S. Agaian; Changhe Yuan (Image Vis. Comput., 2021)

Self-supervised Hypergraph Representation Learning. - Boxin Du; Changhe Yuan; Robert A. Barton; Tal Neiman; Hanghang Tong (IEEE Big Data, 2022)

AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions. - Quoc-Tuan Truong; Tong Zhao 002; Changhe Yuan; Jin Li 003; Jim Chan; Soo-Min Pantel; Hady W. Lauw (WWW, 2022)

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 (CIKM, 2023)

Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. - Boxin Du; Changhe Yuan; Fei Wang 065; Hanghang Tong (CIKM, 2023)

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 (EMNLP (Industry Track), 2023)

Context-Aware Clustering using Large Language Models. - Sindhu Tipirneni; Ravinarayana Adkathimar; Nurendra Choudhary; Gaurush Hiranandani; Rana Ali Amjad; Vassilis N. Ioannidis; Changhe Yuan; Chandan K. Reddy (CoRR, 2024)