Changhe Yuan - RankMe

73 papers A* 14A 14B 2Misc 5Journal 26Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Context-Aware Clustering using Large Language Models. CoRR Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy
2023	—	`conf`	Deep Metric Learning to Hierarchically Rank - An Application in Product Retrieval. EMNLP (Industry Track) Kee Kiat Koo, Ashutosh Joshi, Nishaanth Reddy, Karim Bouyarmane, Ismail B. Tutar, Vaclav Petricek, Changhe Yuan
2023	A	`conf`	Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation. CIKM Boxin Du, Robert A. Barton, Grant Galloway, Junzhou Huang, Shioulin Sam, Ismail B. Tutar, Changhe Yuan
2023	A	`conf`	Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. CIKM Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong
2022	A*	`conf`	AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions. WWW Quoc-Tuan Truong, Tong Zhao, Changhe Yuan, Jin Li, Jim Chan, Soo-Min Pantel, Hady W. Lauw
2022	J	`jnl`	Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. CoRR Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong
2022	B	`conf`	Self-supervised Hypergraph Representation Learning. IEEE Big Data Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong
2021	J	`jnl`	Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution. CoRR Robert A. Barton, Tal Neiman, Changhe Yuan
2021	J	`jnl`	Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution. IEEE Data Eng. Bull. Robert A. Barton, Tal Neiman, Changhe Yuan
2021	J	`jnl`	Hypergraph Pre-training with Graph Neural Networks. CoRR Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong
2021	A*	`conf`	Improving Causal Discovery By Optimal Bayesian Network Learning. AAAI Ni Y. Lu, Kun Zhang, Changhe Yuan
2021	J	`jnl`	Novel features for art movement classification of portrait paintings. Image Vis. Comput. Shao Liu, Jiaqi Yang, Sos S. Agaian, Changhe Yuan
2020	B	`conf`	Diversity in Neural Architecture Search. IJCNN Wenzheng Hu, Mingyang Li, Changhe Yuan, Changshui Zhang, Jianqiang Wang
2020	—	`conf`	Efficient Heuristic Search for M-Modes Inference. PGM Cong Chen, Changhe Yuan, Chao Chen
2020	—	`conf`	Solving Multiple Inference by Minimizing Expected Loss. PGM Cong Chen, Jiaqi Yang, Chao Chen, Changhe Yuan
2019	J	`jnl`	Anterior insular cortex is a bottleneck of cognitive control. NeuroImage Tingting Wu, Xingchao Wang, Qiong Wu, Alfredo Spagna, Jiaqi Yang, Changhe Yuan, Yanhong Wu, Zhixian Gao, Patrick R. Hof, Jin Fan
2019	—	`conf`	Diverse Multiple Prediction on Neuron Image Reconstruction. MICCAI (1) Ze Ye, Cong Chen, Changhe Yuan, Chao Chen
2019	A*	`conf`	Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. IJCAI Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen
2019	A*	`conf`	Learning Diverse Bayesian Networks. AAAI Cong Chen, Changhe Yuan
2019	A	`conf`	Variational Training for Large-Scale Noisy-OR Bayesian Networks. UAI Geng Ji, Dehua Cheng, Huazhong Ning, Changhe Yuan, Hanning Zhou, Liang Xiong, Erik B. Sudderth
2018	—	`conf`	Solving M-Modes in Loopy Graphs Using Tree Decompositions. PGM Cong Chen, Changhe Yuan, Ze Ye, Chao Chen
2017	J	`jnl`	Hierarchical beam search for solving most relevant explanation in Bayesian networks. J. Appl. Log. Xiaoyuan Zhu, Changhe Yuan
2017	—	`conf`	Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration. IPMI Pengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian, Dimitris N. Metaxas, Leon Axel
2016	J	`jnl`	Exact Algorithms for MRE Inference. J. Artif. Intell. Res. Xiaoyuan Zhu, Changhe Yuan
2016	A*	`conf`	Solving M-Modes Using Heuristic Search. IJCAI Cong Chen, Changhe Yuan, Chao Chen
2015	A*	`conf`	An Exact Algorithm for Solving Most Relevant Explanation in Bayesian Networks. AAAI Xiaoyuan Zhu, Changhe Yuan
2015	A*	`conf`	An Improved Lower Bound for Bayesian Network Structure Learning. AAAI Xiannian Fan, Changhe Yuan
2015	Misc	`conf`	Hierarchical Beam Search for Solving Most Relevant Explanation in Bayesian Networks. FLAIRS Xiaoyuan Zhu, Changhe Yuan
2014	A	`conf`	Finding Optimal Bayesian Network Structures with Constraints Learned from Data. UAI Xiannian Fan, Brandon M. Malone, Changhe Yuan
2014	J	`jnl`	Most Relevant Explanation in Bayesian Networks. CoRR Changhe Yuan, Heejin Lim, Tsai-Ching Lu
2014	A	`conf`	Result Integrity Verification of Outsourced Bayesian Network Structure Learning. SDM Ruilin Liu, Wendy Hui Wang, Changhe Yuan
2014	A*	`conf`	Tightening Bounds for Bayesian Network Structure Learning. AAAI Xiannian Fan, Changhe Yuan, Brandon M. Malone
2013	—	`conf`	A Depth-First Branch and Bound Algorithm for Learning Optimal Bayesian Networks. GKR Brandon M. Malone, Changhe Yuan
2013	A	`conf`	Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks. UAI Brandon M. Malone, Changhe Yuan
2013	J	`jnl`	Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks. CoRR Brandon M. Malone, Changhe Yuan
2013	J	`jnl`	Learning Optimal Bayesian Networks: A Shortest Path Perspective. J. Artif. Intell. Res. Changhe Yuan, Brandon M. Malone
2013	A	`conf`	Solving Limited-Memory Influence Diagrams Using Branch-and-Bound Search. UAI Arindam Khaled, Eric A. Hansen, Changhe Yuan
2013	J	`jnl`	Solving Limited-Memory Influence Diagrams Using Branch-and-Bound Search. CoRR Arindam Khaled, Eric A. Hansen, Changhe Yuan
2012	J	`jnl`	An Importance Sampling Algorithm Based on Evidence Pre-propagation CoRR Changhe Yuan, Marek J. Druzdzel
2012	J	`jnl`	An Improved Admissible Heuristic for Learning Optimal Bayesian Networks CoRR Changhe Yuan, Brandon M. Malone
2012	A	`conf`	An Improved Admissible Heuristic for Learning Optimal Bayesian Networks. UAI Changhe Yuan, Brandon M. Malone
2012	J	`jnl`	Annealed MAP CoRR Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
2012	J	`jnl`	Empirical evaluation of scoring functions for Bayesian network model selection. BMC Bioinform. Zhifa Liu, Brandon M. Malone, Changhe Yuan
2012	J	`jnl`	Importance Sampling in Bayesian Networks: An Influence-Based Approximation Strategy for Importance Functions CoRR Changhe Yuan, Marek J. Druzdzel
2012	J	`jnl`	Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search. CoRR Brandon M. Malone, Changhe Yuan, Eric A. Hansen, Susan Bridges
2012	J	`jnl`	Mixture model analysis reflecting dynamics of the population diversity of 2009 pandemic H1N1 influenza virus. Silico Biol. Li-Ping Long, Changhe Yuan, Zhipeng Cai, Huiping Xu, Xiu-Feng Wan
2012	J	`jnl`	Most Relevant Explanation: Properties, Algorithms, and Evaluations CoRR Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim
2012	Misc	`conf`	Solving Limited Memory Influence Diagrams Using Branch-and-Bound Search. ISAIM Arindam Khaled, Changhe Yuan, Eric A. Hansen
2012	J	`jnl`	Solving Multistage Influence Diagrams using Branch-and-Bound Search CoRR Changhe Yuan, Xiaojian Wu, Eric A. Hansen
2011	A	`conf`	Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search. UAI Brandon M. Malone, Changhe Yuan, Eric A. Hansen, Susan Bridges
2011	A*	`conf`	Learning Optimal Bayesian Networks Using A* Search. IJCAI Changhe Yuan, Brandon M. Malone, Xiaojian Wu
2011	A*	`conf`	Memory-Efficient Dynamic Programming for Learning Optimal Bayesian Networks. AAAI Brandon M. Malone, Changhe Yuan, Eric A. Hansen
2011	J	`jnl`	Most Relevant Explanation in Bayesian Networks. J. Artif. Intell. Res. Changhe Yuan, Heejin Lim, Tsai-Ching Lu
2011	J	`jnl`	Most Relevant Explanation: computational complexity and approximation methods. Ann. Math. Artif. Intell. Changhe Yuan, Heejin Lim, Michael L. Littman
2010	Misc	`conf`	Computational complexity and approximization methods of most relevant explanation. ISAIM Heejin Lim, Changhe Yuan
2010	A	`conf`	Solving Multistage Influence Diagrams using Branch-and-Bound Search. UAI Changhe Yuan, Xiaojian Wu, Eric A. Hansen
2010	Misc	`conf`	Solving influence diagrams using heuristic search. ISAIM Changhe Yuan, Xiaojian Wu
2009	A*	`conf`	Efficient Computation of Jointree Bounds for Systematic MAP Search. IJCAI Changhe Yuan, Eric A. Hansen
2009	A	`conf`	Most Relevant Explanation: Properties, Algorithms, and Evaluations. UAI Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu, Heejin Lim
2009	—	`conf`	Some Properties of Most Relevant Explanation. ExaCt Changhe Yuan
2008	A*	`conf`	A General Framework for Generating Multivariate Explanations in Bayesian Networks. AAAI Changhe Yuan, Tsai-Ching Lu
2008	—	`conf`	Integrating Evidence for Evaluation of Potential Novel Protein-coding Genes Using Bayesian Networks. BIOCOMP Nan Wang, Changhe Yuan, Shane C. Burgess, Bindu Nanduri, Mark L. Lawrence, Susan Bridges
2007	A*	`conf`	Dynamic Weighting A* Search-Based MAP Algorithm for Bayesian Networks. IJCAI Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan
2007	A*	`conf`	Generalized Evidence Pre-propagated Importance Sampling for Hybrid Bayesian Networks. AAAI Changhe Yuan, Marek J. Druzdzel
2007	A	`conf`	Importance Sampling for General Hybrid Bayesian Networks. AISTATS Changhe Yuan, Marek J. Druzdzel
2007	—	`conf`	Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks. Canadian AI Changhe Yuan, Marek J. Druzdzel
2007	J	`jnl`	Theoretical analysis and practical insights on importance sampling in Bayesian networks. Int. J. Approx. Reason. Changhe Yuan, Marek J. Druzdzel
2006	—	`conf`	Dynamic Weighting A* Search-based MAP Algorithm for Bayesian Networks. Probabilistic Graphical Models Xiaoxun Sun, Marek J. Druzdzel, Changhe Yuan
2006	—	`conf`	Hybrid Loopy Belief Propagation. Probabilistic Graphical Models Changhe Yuan, Marek J. Druzdzel
2006	J	`jnl`	Importance sampling algorithms for Bayesian networks: Principles and performance. Math. Comput. Model. Changhe Yuan, Marek J. Druzdzel
2005	Misc	`conf`	How Heavy Should the Tails Be? FLAIRS Changhe Yuan, Marek J. Druzdzel
2004	A	`conf`	Annealed MAP. UAI Changhe Yuan, Tsai-Ching Lu, Marek J. Druzdzel
2003	A	`conf`	An Importance Sampling Algorithm Based on Evidence Pre-propagation. UAI Changhe Yuan, Marek J. Druzdzel