Fangkai Yang

Orcid: 0000-0002-3089-0345

According to our database1, Fangkai Yang authored at least 78 papers between 2007 and 2024.

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Bibliography

2024
Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents.
CoRR, 2024

The Vision of Autonomic Computing: Can LLMs Make It a Reality?
CoRR, 2024

Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation.
CoRR, 2024

An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing.
CoRR, 2024

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides.
CoRR, 2024

GenCeption: Evaluate Multimodal LLMs with Unlabeled Unimodal Data.
CoRR, 2024

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy.
CoRR, 2024

Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning.
CoRR, 2024

SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

SELF-GUARD: Empower the LLM to Safeguard Itself.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
TaskWeaver: A Code-First Agent Framework.
CoRR, 2023

Diffusion-based Time Series Data Imputation for Microsoft 365.
CoRR, 2023

Introspective Tips: Large Language Model for In-Context Decision Making.
CoRR, 2023

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering.
CoRR, 2023

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.
Proceedings of the ACM Web Conference 2023, 2023

Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Measuring Acoustics with Collaborative Multiple Agents.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
TDM: Trustworthy Decision-Making Via Interpretability Enhancement.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Spot Virtual Machine Eviction Prediction in Microsoft Cloud.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multiparty Interaction Between Humans and Socially Interactive Agents.
Proceedings of the Handbook on Socially Interactive Agents:20 years of Research on Embodied Conversational Agents, 2022

2021
Explainable Neuro-Symbolic Hierarchical Reinforcement Learning.
Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

Intelligent container reallocation at Microsoft 365.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2020
Impact of Trajectory Generation Methods on Viewer Perception of Robot Approaching Group Behaviors.
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

Group Behavior Recognition Using Attention- and Graph-Based Neural Networks.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Introduction to the 35th International Conference on Logic Programming Special Issue.
Theory Pract. Log. Program., 2019

A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming.
Proceedings of the Proceedings 35th International Conference on Logic Programming (Technical Communications), 2019

Social-aware navigation in crowds with static and dynamic groups.
Proceedings of the 11th International Conference on Virtual Worlds and Games for Serious Applications, 2019

AppGAN: Generative Adversarial Networks for Generating Robot Approach Behaviors into Small Groups of People.
Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

Learning Socially Appropriate Robot Approaching Behavior Toward Groups using Deep Reinforcement Learning.
Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

Task-Motion Planning with Reinforcement Learning for Adaptable Mobile Service Robots.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

App-LSTM: Data-driven Generation of Socially Acceptable Trajectories for Approaching Small Groups of Agents.
Proceedings of the 7th International Conference on Human-Agent Interaction, 2019

Criticality-based Collision Avoidance Prioritization for Crowd Navigation.
Proceedings of the 7th International Conference on Human-Agent Interaction, 2019

Priority driven Local Optimization for Crowd Simulation.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Interpretable Automated Machine Learning in Maana™ Knowledge Platform.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Logic-Based Sequential Decision-Making.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots.
CoRR, 2018

Social Behavior Learning with Realistic Reward Shaping.
CoRR, 2018

Do you see groups?: The impact of crowd density and viewpoint on the perception of groups.
Proceedings of the 18th International Conference on Intelligent Virtual Agents, 2018

Who are my neighbors?: A perception model for selecting neighbors of pedestrians in crowds.
Proceedings of the 18th International Conference on Intelligent Virtual Agents, 2018

Pedestrian simulation as multi-objective reinforcement learning.
Proceedings of the 18th International Conference on Intelligent Virtual Agents, 2018

Effects of Posture and Embodiment on Social Distance in Human-Agent Interaction in Mixed Reality.
Proceedings of the 18th International Conference on Intelligent Virtual Agents, 2018

PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning.
Proceedings of the Genetic Programming Theory and Practice XVI, 2018

Investigating Social Distances between Humans, Virtual Humans and Virtual Robots in Mixed Reality.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
BWIBots: A platform for bridging the gap between AI and human-robot interaction research.
Int. J. Robotics Res., 2017

Expressive virtual characters for social demonstration games.
Proceedings of the 9th International Conference on Virtual Worlds and Games for Serious Applications, 2017

A Virtual Poster Presenter Using Mixed Reality.
Proceedings of the Intelligent Virtual Agents - 17th International Conference, 2017

2016
Planning with Task-Oriented Knowledge Acquisition for a Service Robot.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Mobile Robot Planning Using Action Language <i>BC</i> with an Abstraction Hierarchy.
Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2015

2014
The Semantics of Gringo and Infinitary Propositional Formulas.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Planning in Action Language BC while Learning Action Costs for Mobile Robots.
Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

Planning in Answer Set Programming while Learning Action Costs for Mobile Robots.
Proceedings of the 2014 AAAI Spring Symposia, 2014

2013
Representing Actions in Logic-based Languages.
Theory Pract. Log. Program., 2013

Lloyd-Topor completion and general stable models.
Theory Pract. Log. Program., 2013

Functional completion.
J. Appl. Non Class. Logics, 2013

On the Semantics of Gringo.
CoRR, 2013

Action Language BC: Preliminary Report.
Proceedings of the IJCAI 2013, 2013

2012
Relational theories with null values and non-herbrand stable models.
Theory Pract. Log. Program., 2012

Representing first-order causal theories by logic programs.
Theory Pract. Log. Program., 2012

Extending C+ with Composite Actions for Robotic Task Planning.
Proceedings of the Technical Communications of the 28th International Conference on Logic Programming, 2012

Vladimir Lifschitz - A Youth at 65.
Proceedings of the Correct Reasoning, 2012

Extending Action Language $\mathcal{C}+$ by Formalizing Composite Actions.
Proceedings of the Correct Reasoning, 2012

2010
Translating First-Order Causal Theories into Answer Set Programming.
Proceedings of the Logics in Artificial Intelligence - 12th European Conference, 2010

2009
A Distance-Based Operator to Revising Ontologies in DL SHOQ.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008
Ontology Based Object Categorization for Robots.
Proceedings of the Practical Aspects of Knowledge Management, 7th International Conference, 2008

A Survey of Revision Approaches in Description Logics.
Proceedings of the 21st International Workshop on Description Logics (DL2008), 2008

2007
Integrating Rules and Description Logics with Circumscription for the Semantic Web.
Proceedings of the Advances in Rule Interchange and Applications, International Symposium, 2007

DL_clog: A Hybrid System Integrating Rules and Description Logics with Circumscription.
Proceedings of the 2007 International Workshop on Description Logics (DL2007), 2007


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