Approximating behavioral equivalence of models using top-k policy paths. - Yifeng Zeng; Yingke Chen; Prashant Doshi (AAMAS, 2011)

Approximating Model Equivalence in Interactive Dynamic Influence Diagrams Using Top K Policy Paths. - Yifeng Zeng; Yingke Chen; Prashant Doshi (IAT, 2011)

Learning Probabilistic Automata for Model Checking. - Hua Mao; Yingke Chen; Manfred Jaeger; Thomas D. Nielsen; Kim G. Larsen; Brian Nielsen (QEST, 2011)

Active Learning of Markov Decision Processes for System Verification. - Yingke Chen; Thomas Dyhre Nielsen (ICMLA (2), 2012)

Learning Markov Models for Stationary System Behaviors. - Yingke Chen; Hua Mao; Manfred Jaeger; Thomas Dyhre Nielsen; Kim Guldstrand Larsen; Brian Nielsen (NASA Formal Methods, 2012)

Learning Markov Decision Processes for Model Checking - Hua Mao; Yingke Chen; Manfred Jaeger; Thomas D. Nielsen; Kim G. Larsen; Brian Nielsen (QFM, 2012)

Incorporating PGMs into a BDI Architecture. - Yingke Chen; Jun Hong 001; Weiru Liu; Lluís Godo; Carles Sierra; Michael Loughlin (PRIMA, 2013)

Team behavior in interactive dynamic influence diagrams with applications to ad hoc teams. - Muthukumaran Chandrasekaran; Prashant Doshi; Yifeng Zeng; Yingke Chen (AAMAS, 2014)

Individual Planning in Agent Populations: Exploiting Anonymity and Frame-Action Hypergraphs. - Ekhlas Sonu; Yingke Chen; Prashant Doshi (ICAPS, 2015)

Iterative Online Planning in Multiagent Settings with Limited Model Spaces and PAC Guarantees. - Yingke Chen; Prashant Doshi; Yifeng Zeng (AAMAS, 2015)

Fast Solving of Influence Diagrams for Multiagent Planning on GPU-enabled Architectures. - Fadel Adoe; Yingke Chen; Prashant Doshi (ICAART (2), 2015)

Speeding up Planning in Multiagent Settings Using CPU-GPU Architectures. - Fadel Adoe; Yingke Chen; Prashant Doshi (ICAART (Revised Selected Papers), 2015)

Learning Behaviors in Agents Systems with Interactive Dynamic Influence Diagrams. - Ross Conroy; Yifeng Zeng; Marc Cavazza; Yingke Chen (IJCAI, 2015)

Interactive Dynamic Influence Diagrams for Relational Agents. - Yinghui Pan; Yingke Chen; Jing Tang 001; Yifeng Zeng (WI-IAT (3), 2015)

Schedule length and reliability-oriented multi-objective scheduling for distributed computing. - Guoquan Liu; Yifeng Zeng; Dong Li 005; Yingke Chen (Soft Comput., 2015)

Bayesian Markov Games with Explicit Finite-Level Types. - Muthukumaran Chandrasekaran; Yingke Chen; Prashant Doshi (AAAI, 2016)

Approximating behavioral equivalence for scaling solutions of I-DIDs. - Yifeng Zeng; Prashant Doshi; Yingke Chen; Yinghui Pan; Hua Mao; Muthukumaran Chandrasekaran (Knowl. Inf. Syst., 2016)

Learning deterministic probabilistic automata from a model checking perspective. - Hua Mao; Yingke Chen; Manfred Jaeger; Thomas D. Nielsen; Kim G. Larsen; Brian Nielsen (Mach. Learn., 2016)

On Markov Games Played by Bayesian and Boundedly-Rational Players. - Muthukumaran Chandrasekaran; Yingke Chen; Prashant Doshi (AAAI, 2017)

Can bounded and self-interested agents be teammates? Application to planning in ad hoc teams. - Muthukumaran Chandrasekaran; Prashant Doshi; Yifeng Zeng; Yingke Chen (Auton. Agents Multi Agent Syst., 2017)

Decision-Theoretic Planning Under Anonymity in Agent Populations. - Ekhlas Sonu; Yingke Chen; Prashant Doshi (J. Artif. Intell. Res., 2017)

A Group-based Approach to Improve Multifactorial Evolutionary Algorithm. - Jing Tang 001; Yingke Chen; Zixuan Deng; Yanping Xiang; Colin Paul Joy (IJCAI, 2018)

Self-Improving Generative Adversarial Reinforcement Learning. - Yang Liu; Yifeng Zeng; Yingke Chen; Jing Tang 001; Yinghui Pan (AAMAS, 2019)

HTMLPhish: Enabling Accurate Phishing Web Page Detection by Applying Deep Learning Techniques on HTML Analysis. - Chidimma Opara; Bo Wei; Yingke Chen (CoRR, 2019)

HTMLPhish: Enabling Phishing Web Page Detection by Applying Deep Learning Techniques on HTML Analysis. - Chidimma Opara; Bo Wei 003; Yingke Chen (IJCNN, 2020)

Look Before You Leap: Detecting Phishing Web Pages by Exploiting Raw URL And HTML Characteristics. - Chidimma Opara; Yingke Chen; Bo Wei (CoRR, 2020)

Dual Self-Paced Cross-Modal Hashing. - Yuan Sun 016; Jian Dai 002; Zhenwen Ren; Yingke Chen; Dezhong Peng; Peng Hu 002 (AAAI, 2024)

DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels. - Haoran Liu; Ying Ma; Ming Yan 007; Yingke Chen; Dezhong Peng; Xu Wang 028 (AAAI, 2024)

Noisy-Correspondence Learning for Text-to-Image Person Re-Identification. - Yang Qin; Yingke Chen; Dezhong Peng; Xi Peng 001; Joey Tianyi Zhou; Peng Hu 002 (CVPR, 2024)

Adaptive Masked Autoencoder Transformer for image classification. - Xiangru Chen; Chenjing Liu; Peng Hu 002; Jie Lin 001; Yunhong Gong; Yingke Chen; Dezhong Peng; Xue Geng (Appl. Soft Comput., 2024)

Evolving filter criteria for randomly initialized network pruning in image classification. - Xiangru Chen; Chenjing Liu; Peng Hu 002; Jie Lin 001; Yunhong Gong; Yingke Chen; Dezhong Peng; Xue Geng (Neurocomputing, 2024)

Detecting anomalies with granular-ball fuzzy rough sets. - Xinyu Su; Zhong Yuan; Baiyang Chen; Dezhong Peng; Hongmei Chen 001; Yingke Chen (Inf. Sci., 2024)

Spectral Embedding Fusion for Incomplete Multiview Clustering. - Jie Chen 065; Yingke Chen; Zhu Wang 007; Haixian Zhang; Xi Peng 001 (IEEE Trans. Image Process., 2024)

Look before you leap: Detecting phishing web pages by exploiting raw URL and HTML characteristics. - Chidimma Opara; Yingke Chen; Bo Wei 003 (Expert Syst. Appl., 2024)

A black-box model for predicting difficulty of word puzzle games: a case study of Wordle. - Ling Shi; Yingke Chen; Jiaxuan Lin; Xiaoyu Chen; Guangming Dai (Knowl. Inf. Syst., 2024)

Integrating granular computing with density estimation for anomaly detection in high-dimensional heterogeneous data. - Baiyang Chen; Zhong Yuan; Dezhong Peng; Xiaoliang Chen; Hongmei Chen 001; Yingke Chen (Inf. Sci., 2025)

DFNO: Detecting Fuzzy Neighborhood Outliers. - Zhong Yuan; Peng Hu 002; Hongmei Chen 001; Yingke Chen; Qilin Li (IEEE Trans. Knowl. Data Eng., 2025)

Online Sparse Representation Clustering for Evolving Data Streams. - Jie Chen 065; Shengxiang Yang; Conor Fahy; Zhu Wang 007; Yinan Guo 001; Yingke Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Underdetermined Blind Signal Separation with Smooth Approximation Function for Insufficiently Sparse Sources. - Yongxiang Li; Dezhong Peng; Yong Xiang 001; Yingke Chen; Qingchuan Tao (Circuits Syst. Signal Process., 2025)

Granular-ball computing guided anomaly detection for hybrid attribute data. - Xinyu Su; Xiwen Wang; Dezhong Peng; Hongmei Chen 001; Yingke Chen; Zhong Yuan (Int. J. Mach. Learn. Cybern., 2025)

Clinical Expert Uncertainty Guided Generalized Label Smoothing for Medical Noisy Label Learning. - Kunyu Zhang; Lin Gu; Liangchen Liu; Yingke Chen; Binyang Wang; Jin Yan; Yingying Zhu (CoRR, 2025)