Fangkai Yang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 61

Top Topics

Propositional Formulas

Reinforcement Learning

Data Imputation

Top Venues

Publications

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)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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)
Lele Cao, Valentin Leonhard Buchner, Zineb Senane, Fangkai Yang
GenCeption: Evaluate Multimodal LLMs with Unlabeled Unimodal Data. CoRR (2024)
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 (2024)
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 (2024)
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)
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)
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 (2023)
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)
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 (2023)
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 (2023)
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)
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)
Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun
Measuring Acoustics with Collaborative Multiple Agents. IJCAI (2023)
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 (2023)
Yinfeng Yu, Changan Chen, Lele Cao, Fangkai Yang, Fuchun Sun
Measuring Acoustics with Collaborative Multiple Agents. CoRR (2023)
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 (2023)
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)
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 (2022)
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) (2022)
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)
Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu
TDM: Trustworthy Decision-Making via Interpretability Enhancement. CoRR (2021)
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)
Fangkai Yang, Wenjie Yin, Tetsunari Inamura, Mårten Björkman, Christopher E. Peters
Group Behavior Recognition Using Attention- and Graph-Based Neural Networks. ECAI (2020)
Fangkai Yang, Wenjie Yin, Mårten Björkman, Christopher Peters
Impact of Trajectory Generation Methods on Viewer Perception of Robot Approaching Group Behaviors. RO-MAN (2020)
Fangkai Yang, Christopher E. Peters
Social-aware navigation in crowds with static and dynamic groups. VS-GAMES (2019)
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) (2019)
Himangshu Saikia, Fangkai Yang, Christopher E. Peters
Priority driven Local Optimization for Crowd Simulation. AAMAS (2019)
Fangkai Yang, Christopher E. Peters
App-LSTM: Data-driven Generation of Socially Acceptable Trajectories for Approaching Small Groups of Agents. HAI (2019)
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)
Alexander Elkholy, Fangkai Yang, Steven Gustafson
Interpretable Automated Machine Learning in Maana™ Knowledge Platform. AAMAS (2019)
Yuqian Jiang, Fangkai Yang, Shiqi Zhang, Peter Stone
Task-Motion Planning with Reinforcement Learning for Adaptable Mobile Service Robots. IROS (2019)
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming. ICLP Technical Communications (2019)
Fangkai Yang, Christopher E. Peters
AppGAN: Generative Adversarial Networks for Generating Robot Approach Behaviors into Small Groups of People. RO-MAN (2019)
Alexander Elkholy, Fangkai Yang, Steven Gustafson
Interpretable Automated Machine Learning in Maana(TM) Knowledge Platform. CoRR (2019)
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning. AAAI (2019)
Himangshu Saikia, Fangkai Yang, Christopher E. Peters
Criticality-based Collision Avoidance Prioritization for Crowd Navigation. HAI (2019)
Esra Erdem, Andrea Formisano, Germán Vidal, Fangkai Yang
Introduction to the 35th International Conference on Logic Programming Special Issue. CoRR (2019)
Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon
Logic-Based Sequential Decision-Making. AAAI (2019)
Fangkai Yang, Himangshu Saikia, Christopher E. Peters
Who are my neighbors?: A perception model for selecting neighbors of pedestrians in crowds. IVA (2018)
Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. CoRR (2018)
Yuqian Jiang, Fangkai Yang, Shiqi Zhang, Peter Stone
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots. CoRR (2018)
Fangkai Yang, Steven Gustafson, Alexander Elkholy, Daoming Lyu, Bo Liu
Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning. GPTP (2018)
Naresh Balaji Ravichandran, Fangkai Yang, Christopher E. Peters, Anders Lansner, Pawel Andrzej Herman
Pedestrian simulation as multi-objective reinforcement learning. IVA (2018)
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning. CoRR (2018)
Yuan Gao, Fangkai Yang, Martin Frisk, Daniel Hernández, Christopher E. Peters, Ginevra Castellano
Social Behavior Learning with Realistic Reward Shaping. CoRR (2018)
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)
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)
Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. IJCAI (2018)
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)
Fangkai Yang, Chengjie Li, Robin Palmberg, Ewoud Van Der Heide, Christopher E. Peters
Expressive virtual characters for social demonstration games. VS-GAMES (2017)
Vanya Avramova, Fangkai Yang, Chengjie Li, Christopher E. Peters, Gabriel Skantze
A Virtual Poster Presenter Using Mixed Reality. IVA (2017)
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) (2017)
Kai Chen, Fangkai Yang, Xiaoping Chen
Planning with Task-Oriented Knowledge Acquisition for a Service Robot. IJCAI (2016)
Shiqi Zhang, Fangkai Yang, Piyush Khandelwal, Peter Stone
with an Abstraction Hierarchy. LPNMR (2015)
Piyush Khandelwal, Fangkai Yang, Matteo Leonetti, Vladimir Lifschitz, Peter Stone
Planning in Action Language BC while Learning Action Costs for Mobile Robots. ICAPS (2014)
Amelia J. Harrison, Vladimir Lifschitz, Fangkai Yang
The Semantics of Gringo and Infinitary Propositional Formulas. KR (2014)
Fangkai Yang, Piyush Khandelwal, Matteo Leonetti, Peter Stone
Planning in Answer Set Programming while Learning Action Costs for Mobile Robots. AAAI Spring Symposia (2014)
Vladimir Lifschitz, Fangkai Yang
Functional completion. J. Appl. Non Class. Logics 23 (1-2) (2013)
Vladimir Lifschitz, Fangkai Yang
Lloyd-Topor Completion and General Stable Models CoRR (2013)
Vladimir Lifschitz, Fangkai Yang
Lloyd-Topor completion and general stable models. Theory Pract. Log. Program. 13 (4-5) (2013)
Amelia Harrison, Vladimir Lifschitz, Fangkai Yang
On the Semantics of Gringo. CoRR (2013)
Joohyung Lee, Vladimir Lifschitz, Fangkai Yang
Action Language BC: Preliminary Report. IJCAI (2013)
Fangkai Yang
Representing Actions in Logic-based Languages. Theory Pract. Log. Program. 13 (4-5-Online-Supplement) (2013)
Paolo Ferraris, Joohyung Lee, Yuliya Lierler, Vladimir Lifschitz, Fangkai Yang
Representing first-order causal theories by logic programs. Theory Pract. Log. Program. 12 (3) (2012)
Vladimir Lifschitz, Karl Pichotta, Fangkai Yang
Relational theories with null values and non-herbrand stable models. Theory Pract. Log. Program. 12 (4-5) (2012)
Xiaoping Chen, Guoqiang Jin, Fangkai Yang
Extending Action Language $\mathcal{C}+$ by Formalizing Composite Actions. Correct Reasoning (2012)
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)
Xiaoping Chen, Guoqiang Jin, Fangkai Yang
Extending C+ with Composite Actions for Robotic Task Planning. ICLP (Technical Communications) (2012)
Vladimir Lifschitz, Karl Pichotta, Fangkai Yang
Relational Theories with Null Values and Non-Herbrand Stable Models CoRR (2012)
Paolo Ferraris, Joohyung Lee, Yuliya Lierler, Vladimir Lifschitz, Fangkai Yang
Representing First-Order Causal Theories by Logic Programs CoRR (2011)
Vladimir Lifschitz, Fangkai Yang
Translating First-Order Causal Theories into Answer Set Programming. JELIA (2010)
Fangkai Yang, Guilin Qi, Zhisheng Huang
A Distance-Based Operator to Revising Ontologies in DL SHOQ. ECSQARU (2009)
Guilin Qi, Fangkai Yang
A Survey of Revision Approaches in Description Logics. Description Logics (2008)
Benjamin Johnston, Fangkai Yang, Rogan Mendoza, Xiaoping Chen, Mary-Anne Williams
Ontology Based Object Categorization for Robots. PAKM (2008)
Guilin Qi, Fangkai Yang
A Survey of Revision Approaches in Description Logics. RR (2008)
Fangkai Yang, Xiaoping Chen
DL_clog: A Hybrid System Integrating Rules and Description Logics with Circumscription. Description Logics (2007)
Fangkai Yang, Xiaoping Chen
Integrating Rules and Description Logics with Circumscription for the Semantic Web. RuleML (2007)