Nevin Lianwen Zhang

Publication Activity (10 Years)

Years Active: 1992-2022
Publications (10 Years): 2

Top Topics

Inference In Bayesian Networks

Markov Decision Process

Probabilistic Inference

Top Venues

Int. J. Approx. Reason.

Publications

Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao, Ka Chun Cheung, Nevin Lianwen Zhang
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model. EMNLP (2022)
Farhan Khawar, Leonard Kin Man Poon, Nevin Lianwen Zhang
Learning the Structure of Auto-Encoding Recommenders. CoRR (2020)
Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen, April Hua Liu, Leonard K. M. Poon, Yi Wang
Greedy learning of latent tree models for multidimensional clustering. Mach. Learn. 98 (1-2) (2015)
April H. Liu, Leonard K. M. Poon, Nevin Lianwen Zhang
Unidimensional Clustering of Discrete Data Using Latent Tree Models. AAAI (2015)
April H. Liu, Leonard K. M. Poon, Tengfei Liu, Nevin Lianwen Zhang
Latent tree models for rounding in spectral clustering. Neurocomputing 144 (2014)
Raphaël Mourad, Christine Sinoquet, Nevin Lianwen Zhang, Tengfei Liu, Philippe Leray
A Survey on Latent Tree Models and Applications. CoRR (2014)
Nevin Lianwen Zhang, Xiaofei Wang, Peixian Chen
A Study of Recently Discovered Equalities about Latent Tree Models Using Inverse Edges. Probabilistic Graphical Models (2014)
Nevin Lianwen Zhang, Chen Fu, Tengfei Liu, Kin Man Poon, Peixian Chen, Bao Xin Chen, Yun Ling Zhang
An Evidence-Based Approach to Patient Classification in Traditional Chinese Medicine based on Latent Tree Analysis. CoRR (2014)
Yi Wang, Nevin Lianwen Zhang, Tao Chen
Latent Tree Models and Approximate Inference in Bayesian Networks. CoRR (2014)
Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen
Hierarchical Latent Tree Analysis for Topic Detection. ECML/PKDD (2) (2014)
Leonard K. M. Poon, Nevin Lianwen Zhang, Tengfei Liu, April H. Liu
Model-based clustering of high-dimensional data: Variable selection versus facet determination. Int. J. Approx. Reason. 54 (1) (2013)
Nevin Lianwen Zhang, Li Yan
Independence of Causal Influence and Clique Tree Propagation CoRR (2013)
Nevin Lianwen Zhang, David L. Poole
Sidestepping the Triangulation Problem in Bayesian Net Computations CoRR (2013)
Nevin Lianwen Zhang
Probabilistic Inference in Influence Diagrams CoRR (2013)
Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon
LTC: A latent tree approach to classification. Int. J. Approx. Reason. 54 (4) (2013)
Nevin Lianwen Zhang, Runping Qi, David L. Poole
Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams CoRR (2013)
Nevin Lianwen Zhang, Weihong Zhang
Fast Value Iteration for Goal-Directed Markov Decision Processes CoRR (2013)
Raphaël Mourad, Christine Sinoquet, Nevin Lianwen Zhang, Tengfei Liu, Philippe Leray
A Survey on Latent Tree Models and Applications. J. Artif. Intell. Res. 47 (2013)
Runping Qi, Nevin Lianwen Zhang, David L. Poole
Solving Asymmetric Decision Problems with Influence Diagrams CoRR (2013)
Nevin Lianwen Zhang, Stephen S. Lee, Weihong Zhang
A Method for Speeding Up Value Iteration in Partially Observable Markov Decision Processes CoRR (2013)
Tomas Kocka, Nevin Lianwen Zhang
Dimension Correction for Hierarchical Latent Class Models CoRR (2013)
Nevin Lianwen Zhang, Wenju Liu
Region-Based Approximations for Planning in Stochastic Domains CoRR (2013)
Nevin Lianwen Zhang, Stephen S. Lee
Planning with Partially Observable Markov Decision Processes: Advances in Exact Solution Method CoRR (2013)
Nevin Lianwen Zhang
Inference with Causal Independence in the CPSC Network CoRR (2013)
Anthony R. Cassandra, Michael L. Littman, Nevin Lianwen Zhang
Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes CoRR (2013)
Nevin Lianwen Zhang, David L. Poole
Inter-causal Independence and Heterogeneous Factorization CoRR (2013)
Tao Chen, Nevin Lianwen Zhang, Tengfei Liu, Kin Man Poon, Yi Wang
Model-based multidimensional clustering of categorical data. Artif. Intell. 176 (1) (2012)
Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang
A Model-Based Approach to Rounding in Spectral Clustering CoRR (2012)
Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang
A Model-Based Approach to Rounding in Spectral Clustering. UAI (2012)
Tomas Kocka, Nevin Lianwen Zhang
Effective Dimensions of Hierarchical Latent Class Models CoRR (2011)
Nevin Lianwen Zhang, Runsun Zhang, Tao Chen
Discovery of Regularities in the Use of Herbs in Traditional Chinese Medicine Prescriptions. PAKDD Workshops (2011)
Tengfei Liu, Nevin Lianwen Zhang, Kin Man Poon, Yi Wang, Hua Liu
Fast Multidimensional Clustering of Categorical Data. MultiClust@ECML/PKDD (2011)
David L. Poole, Nevin Lianwen Zhang
Exploiting Contextual Independence In Probabilistic Inference CoRR (2011)
Nevin Lianwen Zhang, Weihong Zhang
Restricted Value Iteration: Theory and Algorithms CoRR (2011)
Yi Wang, Nevin Lianwen Zhang, Tao Chen, Leonard K. M. Poon
Latent Tree Classifier. ECSQARU (2011)
Nevin Lianwen Zhang, Weihong Zhang
Speeding Up the Convergence of Value Iteration in Partially Observable Markov Decision Processes CoRR (2011)
Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen, Yi Wang
Variable Selection in Model-Based Clustering: To Do or To Facilitate. ICML (2010)
Tao Chen, Nevin Lianwen Zhang, Yi Wang
The Role of Operation Granularity in Search-Based Learning of Latent Tree Models. JSAI-isAI Workshops (2010)
Yi Wang, Nevin Lianwen Zhang, Tao Chen
Latent Tree Models and Approximate Inference in Bayesian Networks. J. Artif. Intell. Res. 32 (2008)
Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wang
Latent tree models and diagnosis in traditional Chinese medicine. Artif. Intell. Medicine 42 (3) (2008)
Nevin Lianwen Zhang, Yi Wang, Tao Chen
Discovery of latent structures: Experience with the CoIL Challenge 2000 data set. J. Syst. Sci. Complex. 21 (2) (2008)
Yi Wang, Nevin Lianwen Zhang, Tao Chen
Latent Tree Models and Approximate Inference in Bayesian Networks. AAAI (2008)
Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wang
Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine. AIME (2007)
Nevin Lianwen Zhang
Discovering Latent Structures: Experience with the CoIL Challenge 2000 Data Set. International Conference on Computational Science (4) (2007)
Tao Chen, Nevin Lianwen Zhang
Quartet-Based Learning of Hierarchical Latent Class Models: Discovery of Shallow Latent Variables. AI&M (2006)
Yi Wang, Nevin Lianwen Zhang
Severity of Local Maxima for the EM Algorithm: Experiences with Hierarchical Latent Class Models. Probabilistic Graphical Models (2006)
Tao Chen, Nevin Lianwen Zhang
Quartet-Based Learning of Shallow Latent Variables. Probabilistic Graphical Models (2006)
Thomas D. Nielsen, Nevin Lianwen Zhang
Special Issue on ECSQARU-2003: The Seventh European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty: Message from the Guest Editors. Int. J. Approx. Reason. 38 (3) (2005)
Tao Chen, Tomás Kocka, Nevin Lianwen Zhang
Effective dimensions of partially observed polytrees. Int. J. Approx. Reason. 38 (3) (2005)
Weihong Zhang, Nevin Lianwen Zhang
Restricted Value Iteration: Theory and Algorithms. J. Artif. Intell. Res. 23 (2005)
Nevin Lianwen Zhang
Hierarchical Latent Class Models for Cluster Analysis. J. Mach. Learn. Res. 5 (2004)
Nevin Lianwen Zhang, Tomás Kocka
Efficient Learning of Hierarchical Latent Class Models. ICTAI (2004)
Nevin Lianwen Zhang, Tomás Kocka
Effective Dimensions of Hierarchical Latent Class Models. J. Artif. Intell. Res. 21 (2004)
Nevin Lianwen Zhang, Thomas D. Nielsen, Finn Verner Jensen
Latent variable discovery in classification models. Artif. Intell. Medicine 30 (3) (2004)
Samuel P. M. Choi, Nevin Lianwen Zhang, Dit-Yan Yeung
Reinforcement Learning in Episodic Non-stationary Markovian Environments. IC-AI (2004)
Tomás Kocka, Nevin Lianwen Zhang
Effective Dimensions of Partially Observed Polytrees. ECSQARU (2003)
David L. Poole, Nevin Lianwen Zhang
Exploiting Contextual Independence In Probabilistic Inference. J. Artif. Intell. Res. 18 (2003)
Weihong Zhang, Nevin Lianwen Zhang
An Alternative Formulation of Dynamic-Programming Updates for POMDPs. AI&M (2002)
Nevin Lianwen Zhang
Hierarchical Latent Class Models for Cluster Analysis. AAAI/IAAI (2002)
Weihong Zhang, Nevin Lianwen Zhang
Value Iteration Working with Belief Subset. AAAI/IAAI (2002)
Tomás Kocka, Nevin Lianwen Zhang
Dimension Correction for Hierarchical Latent Class Models. UAI (2002)
Nevin Lianwen Zhang
Inference in Bayesian Networks: The Role of Context-Specific Independence. Int. J. Inf. Technol. Decis. Mak. 1 (1) (2002)
Samuel P. M. Choi, Dit-Yan Yeung, Nevin Lianwen Zhang
Hidden-Mode Markov Decision Processes for Nonstationary Sequential Decision Making. Sequence Learning (2001)
Nevin Lianwen Zhang, Weihong Zhang
Space-Progressive Value Iteration: An Anytime Algorithm for a Class of POMDPs. ECSQARU (2001)
Nevin Lianwen Zhang, Weihong Zhang
Speeding Up the Convergence of Value Iteration in Partially Observable Markov Decision Processes. J. Artif. Intell. Res. 14 (2001)
Samuel Ping-Man Choi, Nevin Lianwen Zhang, Dit-Yan Yeung
Solving Hidden-Mode Markov Decision Problems. AISTATS (2001)
Samuel P. M. Choi, Dit-Yan Yeung, Nevin Lianwen Zhang
An Environment Model for Nonstationary Reinforcement Learning. NIPS (1999)
Nevin Lianwen Zhang, David L. Poole
On the Role of Context-Specific Independence in Probabilistic Inference. IJCAI (1999)
Nevin Lianwen Zhang, Stephen S. Lee, Weihong Zhang
A Method for Speeding Up Value Iteration in Partially Observable Markov Decision Processes. UAI (1999)
Nevin Lianwen Zhang
Computational Properties of Two Exact Algorithms for Bayesian Networks. Appl. Intell. 9 (2) (1998)
Nevin Lianwen Zhang, Li Yan
Independence of causal influence and clique tree propagation. Int. J. Approx. Reason. 19 (3-4) (1998)
Nevin Lianwen Zhang
Probabilistic Inference in Influence Diagrams. Comput. Intell. 14 (4) (1998)
Nevin Lianwen Zhang
Probabilistic Inference in Influence Diagrams. UAI (1998)
Nevin Lianwen Zhang, Stephen S. Lee
Planning with Partially Observable Markov Decision Processes: Advances in Exact Solution Method. UAI (1998)
Nevin Lianwen Zhang
Context-Specific Independence, Decomposition of Conditional Probabilities, and Inference in Bayesian Networks. PRICAI (1998)
Nevin Lianwen Zhang, Weihong Zhang
Fast Value Iteration for Goal-Directed Markov Decision Processes. UAI (1997)
Nevin Lianwen Zhang, Wenju Liu
A Model Approximation Scheme for Planning in Partially Observable Stochastic Domains CoRR (1997)
Anthony R. Cassandra, Michael L. Littman, Nevin Lianwen Zhang
Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes. UAI (1997)
Nevin Lianwen Zhang, Wenju Liu
A Model Approximation Scheme for Planning in Partially Observable Stochastic Domains. J. Artif. Intell. Res. 7 (1997)
Nevin Lianwen Zhang, Wenju Liu
Region-Based Approximations for Planning in Stochastic Domains. UAI (1997)
Nevin Lianwen Zhang, Li Yan
Independence of Causal Influence and Clique Tree Propagation. UAI (1997)
Nevin Lianwen Zhang, David L. Poole
Exploiting Causal Independence in Bayesian Network Inference CoRR (1996)
Nevin Lianwen Zhang, David L. Poole
Exploiting Causal Independence in Bayesian Network Inference. J. Artif. Intell. Res. 5 (1996)
Nevin Lianwen Zhang
Irrelevance and ParameterLearning in Bayesian Networks. Artif. Intell. 88 (1-2) (1996)
Nevin Lianwen Zhang
Inference with Causal Independence in the CPSC Network. UAI (1995)
Nevin Lianwen Zhang, Runping Qi, David L. Poole
A computational theory of decision networks. Int. J. Approx. Reason. 11 (2) (1994)
Nevin Lianwen Zhang, David L. Poole
Intercausal Independence and Heterogeneous Factorization. UAI (1994)
Runping Qi, Nevin Lianwen Zhang, David L. Poole
Solving Asymmetric Decision Problems with Influence Diagrams. UAI (1994)
Nevin Lianwen Zhang, Runping Qi, David L. Poole
Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams. UAI (1993)
Nevin Lianwen Zhang, David L. Poole
Stepwise-Decomposable Influence Diagrams. KR (1992)