Nevin Lianwen Zhang

92 papers A* 6A 14B 3C 4Misc 2Journal 49Unranked 13

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