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2020 – today
- 2024
[j11]Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng
:
Adaptive Masked Autoencoder Transformer for image classification. Appl. Soft Comput. 164: 111958 (2024)- [j10]Chidimma Opara, Yingke Chen, Bo Wei:
Look before you leap: Detecting phishing web pages by exploiting raw URL and HTML characteristics. Expert Syst. Appl. 236: 121183 (2024) - [j9]Xiangru Chen, Chenjing Liu, Peng Hu, Jie Lin, Yunhong Gong, Yingke Chen, Dezhong Peng, Xue Geng:
Evolving filter criteria for randomly initialized network pruning in image classification. Neurocomputing 594: 127872 (2024) - [j8]Xinyu Su, Zhong Yuan, Baiyang Chen, Dezhong Peng, Hongmei Chen, Yingke Chen:
Detecting anomalies with granular-ball fuzzy rough sets. Inf. Sci. 678: 121016 (2024) - [j7]Ling Shi, Yingke Chen, Jiaxuan Lin, Xiaoyu Chen, Guangming Dai:
A black-box model for predicting difficulty of word puzzle games: a case study of Wordle. Knowl. Inf. Syst. 66(3): 1729-1750 (2024) - [j6]Jie Chen, Yingke Chen, Zhu Wang, Haixian Zhang, Xi Peng:
Spectral Embedding Fusion for Incomplete Multiview Clustering. IEEE Trans. Image Process. 33: 4116-4130 (2024) - [c23]Haoran Liu, Ying Ma, Ming Yan, Yingke Chen, Dezhong Peng, Xu Wang:
DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels. AAAI 2024: 3612-3620 - [c22]Yuan Sun, Jian Dai, Zhenwen Ren, Yingke Chen, Dezhong Peng, Peng Hu:
Dual Self-Paced Cross-Modal Hashing. AAAI 2024: 15184-15192 - [c21]Yang Qin, Yingke Chen, Dezhong Peng, Xi Peng, Joey Tianyi Zhou, Peng Hu:
Noisy-Correspondence Learning for Text-to-Image Person Re-Identification. CVPR 2024: 27187-27196 - 2023
- [i5]Yang Qin, Yingke Chen, Dezhong Peng, Xi Peng, Joey Tianyi Zhou, Peng Hu:
Noisy-Correspondence Learning for Text-to-Image Person Re-identification. CoRR abs/2308.09911 (2023) - 2020
- [c20]Chidimma Opara, Bo Wei, Yingke Chen:
HTMLPhish: Enabling Phishing Web Page Detection by Applying Deep Learning Techniques on HTML Analysis. IJCNN 2020: 1-8 - [i4]Chidimma Opara, Yingke Chen, Bo Wei:
Look Before You Leap: Detecting Phishing Web Pages by Exploiting Raw URL And HTML Characteristics. CoRR abs/2011.04412 (2020)
2010 – 2019
- 2019
- [c19]Yang Liu, Yifeng Zeng, Yingke Chen, Jing Tang, Yinghui Pan:
Self-Improving Generative Adversarial Reinforcement Learning. AAMAS 2019: 52-60 - [i3]Chidimma Opara, Bo Wei, Yingke Chen:
HTMLPhish: Enabling Accurate Phishing Web Page Detection by Applying Deep Learning Techniques on HTML Analysis. CoRR abs/1909.01135 (2019) - 2018
- [c18]Jing Tang, Yingke Chen, Zixuan Deng, Yanping Xiang, Colin Paul Joy:
A Group-based Approach to Improve Multifactorial Evolutionary Algorithm. IJCAI 2018: 3870-3876 - 2017
- [j5]Muthukumaran Chandrasekaran, Prashant Doshi, Yifeng Zeng, Yingke Chen:
Can bounded and self-interested agents be teammates? Application to planning in ad hoc teams. Auton. Agents Multi Agent Syst. 31(4): 821-860 (2017) - [j4]Ekhlas Sonu, Yingke Chen, Prashant Doshi:
Decision-Theoretic Planning Under Anonymity in Agent Populations. J. Artif. Intell. Res. 59: 725-770 (2017) - [c17]Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi:
On Markov Games Played by Bayesian and Boundedly-Rational Players. AAAI 2017: 437-443 - 2016
- [j3]Yifeng Zeng, Prashant Doshi, Yingke Chen, Yinghui Pan, Hua Mao, Muthukumaran Chandrasekaran:
Approximating behavioral equivalence for scaling solutions of I-DIDs. Knowl. Inf. Syst. 49(2): 511-552 (2016) - [j2]Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen:
Learning deterministic probabilistic automata from a model checking perspective. Mach. Learn. 105(2): 255-299 (2016) - [c16]Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi:
Bayesian Markov Games with Explicit Finite-Level Types. AAAI 2016: 4198-4199 - [c15]Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi:
Bayesian Markov Games with Explicit Finite-Level Types. AAAI Workshop: Multiagent Interaction without Prior Coordination 2016 - 2015
- [j1]Guoquan Liu, Yifeng Zeng, Dong Li, Yingke Chen:
Schedule length and reliability-oriented multi-objective scheduling for distributed computing. Soft Comput. 19(6): 1727-1737 (2015) - [c14]Ekhlas Sonu, Yingke Chen, Prashant Doshi:
Individual Planning in Agent Populations: Exploiting Anonymity and Frame-Action Hypergraphs. ICAPS 2015: 202-210 - [c13]Yingke Chen, Prashant Doshi, Yifeng Zeng:
Iterative Online Planning in Multiagent Settings with Limited Model Spaces and PAC Guarantees. AAMAS 2015: 1161-1169 - [c12]Fadel Adoe, Yingke Chen, Prashant Doshi:
Fast Solving of Influence Diagrams for Multiagent Planning on GPU-enabled Architectures. ICAART (2) 2015: 183-195 - [c11]Fadel Adoe, Yingke Chen, Prashant Doshi:
Speeding up Planning in Multiagent Settings Using CPU-GPU Architectures. ICAART (Revised Selected Papers) 2015: 262-283 - [c10]Ross Conroy, Yifeng Zeng, Marc Cavazza, Yingke Chen:
Learning Behaviors in Agents Systems with Interactive Dynamic Influence Diagrams. IJCAI 2015: 39-45 - [c9]Yinghui Pan, Yingke Chen, Jing Tang, Yifeng Zeng:
Interactive Dynamic Influence Diagrams for Relational Agents. WI-IAT (3) 2015: 233-234 - [i2]Ekhlas Sonu, Yingke Chen, Prashant Doshi:
Individual Planning in Agent Populations: Exploiting Anonymity and Frame-Action Hypergraphs. CoRR abs/1503.07220 (2015) - 2014
- [c8]Muthukumaran Chandrasekaran, Prashant Doshi, Yifeng Zeng, Yingke Chen:
Team behavior in interactive dynamic influence diagrams with applications to ad hoc teams. AAMAS 2014: 1559-1560 - [i1]Muthukumaran Chandrasekaran, Prashant Doshi, Yifeng Zeng, Yingke Chen:
Team Behavior in Interactive Dynamic Influence Diagrams with Applications to Ad Hoc Teams. CoRR abs/1409.0302 (2014) - 2013
- [c7]Yingke Chen, Jun Hong, Weiru Liu, Lluís Godo, Carles Sierra, Michael Loughlin:
Incorporating PGMs into a BDI Architecture. PRIMA 2013: 54-69 - 2012
- [c6]Yingke Chen, Thomas Dyhre Nielsen:
Active Learning of Markov Decision Processes for System Verification. ICMLA (2) 2012: 289-294 - [c5]Yingke Chen, Hua Mao, Manfred Jaeger, Thomas Dyhre Nielsen, Kim Guldstrand Larsen, Brian Nielsen:
Learning Markov Models for Stationary System Behaviors. NASA Formal Methods 2012: 216-230 - [c4]Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen:
Learning Markov Decision Processes for Model Checking. QFM 2012: 49-63 - 2011
- [c3]Yifeng Zeng, Yingke Chen, Prashant Doshi:
Approximating behavioral equivalence of models using top-k policy paths. AAMAS 2011: 1229-1230 - [c2]Yifeng Zeng, Yingke Chen, Prashant Doshi:
Approximating Model Equivalence in Interactive Dynamic Influence Diagrams Using Top K Policy Paths. IAT 2011: 208-211 - [c1]Hua Mao, Yingke Chen, Manfred Jaeger, Thomas D. Nielsen, Kim G. Larsen, Brian Nielsen:
Learning Probabilistic Automata for Model Checking. QEST 2011: 111-120
Coauthor Index
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