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2020 – today
- 2024
[c51]Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. ACL (Findings) 2024: 4275-4295- [c50]Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. ECAI 2024: 4471-4474 - [c49]Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong:
SELF-GUARD: Empower the LLM to Safeguard Itself. NAACL-HLT 2024: 1648-1668 - [c48]Chiming Duan
, Fangkai Yang, Pu Zhao, Lingling Zheng, Yash Dagli, Yudong Liu, Qingwei Lin, Dongmei Zhang:
SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction. WWW (Companion Volume) 2024: 65-72 - [i29]Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. CoRR abs/2401.07033 (2024) - [i28]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. CoRR abs/2401.07051 (2024) - [i27]Lele Cao, Valentin Leonhard Buchner, Zineb Senane, Fangkai Yang:
GenCeption: Evaluate Multimodal LLMs with Unlabeled Unimodal Data. CoRR abs/2402.14973 (2024) - [i26]Kaikai An, Fangkai Yang, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. CoRR abs/2402.17531 (2024) - [i25]Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. CoRR abs/2403.08593 (2024) - [i24]Hang Dong, Liwen Zhu, Zhao Shan, Bo Qiao, Fangkai Yang, Si Qin, Chuan Luo, Qingwei Lin, Yuwen Yang, Gurpreet Virdi, Saravan Rajmohan, Dongmei Zhang, Thomas Moscibroda:
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing. CoRR abs/2406.01047 (2024) - [i23]Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. CoRR abs/2406.13372 (2024) - [i22]Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. CoRR abs/2406.19251 (2024) - [i21]Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
The Vision of Autonomic Computing: Can LLMs Make It a Reality? CoRR abs/2407.14402 (2024) - [i20]Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. CoRR abs/2408.04259 (2024) - [i19]Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. CoRR abs/2409.17140 (2024) - 2023
- [c47]Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. ASPLOS (3) 2023: 631-643 - [c46]Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. EMNLP (Industry Track) 2023: 294-312 - [c45]Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun:
Measuring Acoustics with Collaborative Multiple Agents. IJCAI 2023: 335-343 - [c44]Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin, Dongmei Zhang:
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets. KDD 2023: 5372-5381 - [c43]Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. ESEC/SIGSOFT FSE 2023: 2050-2055 - [c42]Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. WWW 2023: 2927-2936 - [i18]Zezhong Wang, Fangkai Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin, Dongmei Zhang:
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. CoRR abs/2305.11541 (2023) - [i17]Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Introspective Tips: Large Language Model for In-Context Decision Making. CoRR abs/2305.11598 (2023) - [i16]Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Diffusion-based Time Series Data Imputation for Microsoft 365. CoRR abs/2309.02564 (2023) - [i15]Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun:
Measuring Acoustics with Collaborative Multiple Agents. CoRR abs/2310.05368 (2023) - [i14]Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong:
Self-Guard: Empower the LLM to Safeguard Itself. CoRR abs/2310.15851 (2023) - [i13]Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
TaskWeaver: A Code-First Agent Framework. CoRR abs/2311.17541 (2023) - 2022
- [j8]Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu:
TDM: Trustworthy Decision-Making Via Interpretability Enhancement. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 450-461 (2022) - [c41]Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang:
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. KDD 2022: 4032-4040 - [c40]Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Iñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Spot Virtual Machine Eviction Prediction in Microsoft Cloud. WWW (Companion Volume) 2022: 152-156 - [p2]Sarah Gillet, Marynel Vázquez, Christopher E. Peters, Fangkai Yang, Iolanda Leite:
Multiparty Interaction Between Humans and Socially Interactive Agents. The Handbook on Socially Interactive Agents (2) 2022: 113-154 - [i12]Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. CoRR abs/2211.11759 (2022) - 2021
- [c39]Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang:
Intelligent container reallocation at Microsoft 365. ESEC/SIGSOFT FSE 2021: 1438-1443 - [p1]Daoming Lyu, Fangkai Yang, Hugh Kwon, Bo Liu, Wen Dong, Levent Yilmaz:
Explainable Neuro-Symbolic Hierarchical Reinforcement Learning. Neuro-Symbolic Artificial Intelligence 2021: 235-252 - [i11]Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu:
TDM: Trustworthy Decision-Making via Interpretability Enhancement. CoRR abs/2108.06080 (2021) - 2020
- [c38]Fangkai Yang, Wenjie Yin, Tetsunari Inamura, Mårten Björkman, Christopher E. Peters:
Group Behavior Recognition Using Attention- and Graph-Based Neural Networks. ECAI 2020: 1626-1633 - [c37]Fangkai Yang, Wenjie Yin, Mårten Björkman, Christopher Peters:
Impact of Trajectory Generation Methods on Viewer Perception of Robot Approaching Group Behaviors. RO-MAN 2020: 509-516
2010 – 2019
- 2019
- [j7]Esra Erdem, Andrea Formisano, Germán Vidal, Fangkai Yang:
Introduction to the 35th International Conference on Logic Programming Special Issue. Theory Pract. Log. Program. 19(5-6): 630-635 (2019) - [c36]Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson:
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning. AAAI 2019: 2970-2977 - [c35]Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon:
Logic-Based Sequential Decision-Making. AAAI 2019: 9995-9996 - [c34]Alexander Elkholy, Fangkai Yang, Steven Gustafson:
Interpretable Automated Machine Learning in Maana™ Knowledge Platform. AAMAS 2019: 1937-1939 - [c33]Himangshu Saikia, Fangkai Yang, Christopher E. Peters:
Priority driven Local Optimization for Crowd Simulation. AAMAS 2019: 2180-2182 - [c32]Fangkai Yang, Christopher E. Peters:
App-LSTM: Data-driven Generation of Socially Acceptable Trajectories for Approaching Small Groups of Agents. HAI 2019: 144-152 - [c31]Himangshu Saikia, Fangkai Yang, Christopher E. Peters:
Criticality-based Collision Avoidance Prioritization for Crowd Navigation. HAI 2019: 153-161 - [c30]Yuqian Jiang, Fangkai Yang, Shiqi Zhang, Peter Stone:
Task-Motion Planning with Reinforcement Learning for Adaptable Mobile Service Robots. IROS 2019: 7529-7534 - [c29]Alex Yuan Gao, Fangkai Yang, Martin Frisk, Daniel Hemandez, Christopher E. Peters, Ginevra Castellano:
Learning Socially Appropriate Robot Approaching Behavior Toward Groups using Deep Reinforcement Learning. RO-MAN 2019: 1-8 - [c28]Fangkai Yang, Christopher E. Peters:
AppGAN: Generative Adversarial Networks for Generating Robot Approach Behaviors into Small Groups of People. RO-MAN 2019: 1-8 - [c27]Fangkai Yang, Christopher E. Peters:
Social-aware navigation in crowds with static and dynamic groups. VS-GAMES 2019: 1-4 - [c26]Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson:
A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming. ICLP Technical Communications 2019: 182-195 - [e1]Bart Bogaerts, Esra Erdem, Paul Fodor, Andrea Formisano, Giovambattista Ianni, Daniela Inclezan, Germán Vidal, Alicia Villanueva, Marina De Vos, Fangkai Yang:
Proceedings 35th International Conference on Logic Programming (Technical Communications), ICLP 2019 Technical Communications, Las Cruces, NM, USA, September 20-25, 2019. EPTCS 306, 2019 [contents] - [i10]Alexander Elkholy, Fangkai Yang, Steven Gustafson:
Interpretable Automated Machine Learning in Maana(TM) Knowledge Platform. CoRR abs/1905.02168 (2019) - [i9]Esra Erdem, Andrea Formisano, Germán Vidal, Fangkai Yang:
Introduction to the 35th International Conference on Logic Programming Special Issue. CoRR abs/1908.03719 (2019) - 2018
- [c25]Christopher E. Peters, Chengjie Li, Fangkai Yang, Vanya Avramova, Gabriel Skantze:
Investigating Social Distances between Humans, Virtual Humans and Virtual Robots in Mixed Reality. AAMAS 2018: 2247-2249 - [c24]Fangkai Yang, Steven Gustafson, Alexander Elkholy, Daoming Lyu, Bo Liu:
Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning. GPTP 2018: 209-231 - [c23]Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson:
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. IJCAI 2018: 4860-4866 - [c22]Chengjie Li, Theofronia Androulakaki, Alex Yuan Gao, Fangkai Yang, Himangshu Saikia, Christopher E. Peters, Gabriel Skantze:
Effects of Posture and Embodiment on Social Distance in Human-Agent Interaction in Mixed Reality. IVA 2018: 191-196 - [c21]Fangkai Yang, Himangshu Saikia, Christopher E. Peters:
Who are my neighbors?: A perception model for selecting neighbors of pedestrians in crowds. IVA 2018: 269-274 - [c20]Naresh Balaji Ravichandran, Fangkai Yang, Christopher E. Peters, Anders Lansner, Pawel Andrzej Herman:
Pedestrian simulation as multi-objective reinforcement learning. IVA 2018: 307-312 - [c19]Fangkai Yang, Jack Shabo, Adam Qureshi, Christopher E. Peters:
Do you see groups?: The impact of crowd density and viewpoint on the perception of groups. IVA 2018: 313-318 - [i8]Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson:
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. CoRR abs/1804.07779 (2018) - [i7]Yuan Gao, Fangkai Yang, Martin Frisk, Daniel Hernández, Christopher E. Peters, Ginevra Castellano:
Social Behavior Learning with Realistic Reward Shaping. CoRR abs/1810.06979 (2018) - [i6]Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson:
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning. CoRR abs/1811.00090 (2018) - [i5]Yuqian Jiang, Fangkai Yang, Shiqi Zhang, Peter Stone:
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots. CoRR abs/1811.08955 (2018) - 2017
- [j6]Piyush Khandelwal, Shiqi Zhang, Jivko Sinapov, Matteo Leonetti, Jesse Thomason, Fangkai Yang, Ilaria Gori, Maxwell Svetlik, Priyanka Khante, Vladimir Lifschitz, J. K. Aggarwal, Raymond J. Mooney, Peter Stone:
BWIBots: A platform for bridging the gap between AI and human-robot interaction research. Int. J. Robotics Res. 36(5-7): 635-659 (2017) - [c18]Vanya Avramova, Fangkai Yang, Chengjie Li, Christopher E. Peters, Gabriel Skantze:
A Virtual Poster Presenter Using Mixed Reality. IVA 2017: 25-28 - [c17]Fangkai Yang, Chengjie Li, Robin Palmberg, Ewoud Van Der Heide, Christopher E. Peters:
Expressive virtual characters for social demonstration games. VS-GAMES 2017: 217-224 - 2016
- [c16]Kai Chen, Fangkai Yang, Xiaoping Chen:
Planning with Task-Oriented Knowledge Acquisition for a Service Robot. IJCAI 2016: 812-818 - 2015
- [c15]Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, Peter Stone:
Mobile Robot Planning Using Action Language BC with an Abstraction Hierarchy. LPNMR 2015: 502-516 - 2014
- [c14]Fangkai Yang, Piyush Khandelwal, Matteo Leonetti, Peter Stone:
Planning in Answer Set Programming while Learning Action Costs for Mobile Robots. AAAI Spring Symposia 2014 - [c13]Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, Peter Stone:
Planning in Action Language BC while Learning Action Costs for Mobile Robots. ICAPS 2014 - [c12]Amelia J. Harrison, Vladimir Lifschitz, Fangkai Yang:
The Semantics of Gringo and Infinitary Propositional Formulas. KR 2014 - 2013
- [j5]Vladimir Lifschitz, Fangkai Yang:
Functional completion. J. Appl. Non Class. Logics 23(1-2): 121-130 (2013) - [j4]Vladimir Lifschitz, Fangkai Yang:
Lloyd-Topor completion and general stable models. Theory Pract. Log. Program. 13(4-5): 503-515 (2013) - [j3]Fangkai Yang:
Representing Actions in Logic-based Languages. Theory Pract. Log. Program. 13(4-5-Online-Supplement) (2013) - [c11]Joohyung Lee, Vladimir Lifschitz, Fangkai Yang:
Action Language BC: Preliminary Report. IJCAI 2013: 983-989 - [i4]Vladimir Lifschitz, Fangkai Yang:
Lloyd-Topor Completion and General Stable Models. CoRR abs/1301.1394 (2013) - [i3]Amelia Harrison, Vladimir Lifschitz, Fangkai Yang:
On the Semantics of Gringo. CoRR abs/1312.6149 (2013) - 2012
- [j2]Paolo Ferraris, Joohyung Lee, Yuliya Lierler, Vladimir Lifschitz, Fangkai Yang:
Representing first-order causal theories by logic programs. Theory Pract. Log. Program. 12(3): 383-412 (2012) - [j1]Vladimir Lifschitz, Karl Pichotta, Fangkai Yang:
Relational theories with null values and non-herbrand stable models. Theory Pract. Log. Program. 12(4-5): 565-582 (2012) - [c10]Neelakantan Kartha, Esra Erdem, Joohyung Lee, Paolo Ferraris, Wanwan Ren, Yuliya Lierler, Fangkai Yang, Albert Rondan:
Vladimir Lifschitz - A Youth at 65. Correct Reasoning 2012: 14-23 - [c9]Xiaoping Chen, Guoqiang Jin, Fangkai Yang:
Extending Action Language $\mathcal{C}+$ by Formalizing Composite Actions. Correct Reasoning 2012: 134-148 - [c8]Xiaoping Chen, Guoqiang Jin, Fangkai Yang:
Extending C+ with Composite Actions for Robotic Task Planning. ICLP (Technical Communications) 2012: 404-414 - [i2]Vladimir Lifschitz, Karl Pichotta, Fangkai Yang:
Relational Theories with Null Values and Non-Herbrand Stable Models. CoRR abs/1210.4130 (2012) - 2011
- [i1]Paolo Ferraris, Joohyung Lee, Yuliya Lierler, Vladimir Lifschitz, Fangkai Yang:
Representing First-Order Causal Theories by Logic Programs. CoRR abs/1103.4558 (2011) - 2010
- [c7]Vladimir Lifschitz, Fangkai Yang:
Translating First-Order Causal Theories into Answer Set Programming. JELIA 2010: 247-259
2000 – 2009
- 2009
- [c6]Fangkai Yang, Guilin Qi, Zhisheng Huang:
A Distance-Based Operator to Revising Ontologies in DL SHOQ. ECSQARU 2009: 434-445 - 2008
- [c5]Guilin Qi, Fangkai Yang:
A Survey of Revision Approaches in Description Logics. Description Logics 2008 - [c4]Benjamin Johnston, Fangkai Yang, Rogan Mendoza, Xiaoping Chen, Mary-Anne Williams:
Ontology Based Object Categorization for Robots. PAKM 2008: 219-231 - [c3]Guilin Qi, Fangkai Yang:
A Survey of Revision Approaches in Description Logics. RR 2008: 74-88 - 2007
- [c2]Fangkai Yang, Xiaoping Chen:
DL_clog: A Hybrid System Integrating Rules and Description Logics with Circumscription. Description Logics 2007 - [c1]Fangkai Yang, Xiaoping Chen:
Integrating Rules and Description Logics with Circumscription for the Semantic Web. RuleML 2007: 182-189
Coauthor Index
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