2025
Enabling Autonomic Microservice Management through Self-Learning Agents.
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CoRR, January, 2025
ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation.
CoRR, January, 2025
Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation.
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CoRR, January, 2025
2024
WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models.
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CoRR, 2024
Large Action Models: From Inception to Implementation.
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CoRR, 2024
Token-level Proximal Policy Optimization for Query Generation.
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CoRR, 2024
Self-Evolved Reward Learning for LLMs.
CoRR, 2024
AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure.
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CoRR, 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.
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CoRR, 2024
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing.
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CoRR, 2024
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides.
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CoRR, 2024
GenCeption: Evaluate Multimodal LLMs with Unlabeled Unimodal Data.
CoRR, 2024
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy.
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CoRR, 2024
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning.
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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.
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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.
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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.
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Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
TaskWeaver: A Code-First Agent Framework.
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CoRR, 2023
Diffusion-based Time Series Data Imputation for Microsoft 365.
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CoRR, 2023
Introspective Tips: Large Language Model for In-Context Decision Making.
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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.
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Proceedings of the ACM Web Conference 2023, 2023
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365.
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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.
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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.
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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.
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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.
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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.
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Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021
2020
Simulating Group Interactions through Machine Learning and Human Perception.
PhD thesis, 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.
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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
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