Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Cross-domain adaptive transfer reinforcement learning based on state-action correspondence.

[DOI]

Heng You

Tianpei Yang

Yan Zheng

Jianye Hao

Matthew E. Taylor

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning.

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Versatile Multi-stage Graph Neural Network for Circuit Representation.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multiagent Q-learning with Sub-Team Coordination.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification.

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Generalizable Floorplanner through Corner Block List Representation and Hypergraph Embedding.

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement.

[DOI]

Evangeline F. Y. Young

Proceedings of the IEEE International Test Conference, 2022

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations.

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration.

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Individual Reward Assisted Multi-Agent Reinforcement Learning.

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization.

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Learning Pseudometric-based Action Representations for Offline Reinforcement Learning.

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Neuro-Symbolic Hierarchical Rule Induction.

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Learning State Representations via Retracing in Reinforcement Learning.

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation.

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Online Ad Hoc Teamwork under Partial Observability.

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Invariant Factor Graph Neural Networks.

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration.

[DOI]

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis.

[DOI]

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity.

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2022

Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator.

[DOI]

Proceedings of the Distributed Artificial Intelligence - 4th International Conference, 2022

LHNN: lattice hypergraph neural network for VLSI congestion prediction.

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System.

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Multiagent Q-learning with Sub-Team Coordination.

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator.

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning.

[DOI]

IEEE Trans. Software Eng., 2021

Generalized Centered 2-D Principal Component Analysis.

[DOI]

IEEE Trans. Cybern., 2021

SC2disease: a manually curated database of single-cell transcriptome for human diseases.

[DOI]

Nucleic Acids Res., 2021

ED2: An Environment Dynamics Decomposition Framework for World Model Construction.

[DOI]

CoRR, 2021

Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines.

[DOI]

CoRR, 2021

Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization.

[DOI]

CoRR, 2021

Exploration in Deep Reinforcement Learning: A Comprehensive Survey.

[DOI]

CoRR, 2021

Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms.

[DOI]

CoRR, 2021

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment.

[DOI]

CoRR, 2021

Learning Symbolic Rules for Interpretable Deep Reinforcement Learning.

[DOI]

CoRR, 2021

Integrating multi-network topology for gene function prediction using deep neural networks.

[DOI]

Briefings Bioinform., 2021

An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction.

[DOI]

Briefings Bioinform., 2021

Efficient policy detecting and reusing for non-stationarity in Markov games.

[DOI]

Auton. Agents Multi Agent Syst., 2021

An Adversarial Imitation Click Model for Information Retrieval.

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

A Graph-Enhanced Click Model for Web Search.

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Detecting and Learning Against Unknown Opponents for Automated Negotiations.

[DOI]

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic.

[DOI]

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adaptive Online Packing-guided Search for POMDPs.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Model-Based Reinforcement Learning via Imagination with Derived Memory.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Bottleneck for Robust Self-Supervised Exploration.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem.

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

FIGCPS: Effective Failure-inducing Input Generation for Cyber-Physical Systems with Deep Reinforcement Learning.

[DOI]

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Ordering-Based Causal Discovery with Reinforcement Learning.

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A deep reinforcement learning-based agent for negotiation with multiple communication channels.

[DOI]

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Automatic Web Testing Using Curiosity-Driven Reinforcement Learning.

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Relational Navigation Learning in Continuous Action Space among Crowds.

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Principled Exploration via Optimistic Bootstrapping and Backward Induction.

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Coalition-based Task Assignment in Spatial Crowdsourcing.

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning.

[DOI]

Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

SEIHAI: A Sample-Efficient Hierarchical AI for the MineRL Competition.

[DOI]

Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models.

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation.

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction.

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning.

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Addressing Action Oscillations through Learning Policy Inertia.

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments.

[DOI]

J. Comput. Sci. Technol., 2020

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation.

[DOI]

Alexander I. Cowen-Rivers

CoRR, 2020

Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning.

[DOI]

CoRR, 2020

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.

[DOI]

CoRR, 2020

What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator.

[DOI]

CoRR, 2020

Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint.

[DOI]

CoRR, 2020

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning.

[DOI]

CoRR, 2020

CausalVAE: Structured Causal Disentanglement in Variational Autoencoder.

[DOI]

CoRR, 2020

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework.

[DOI]

CoRR, 2020

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning.

[DOI]

CoRR, 2020

A Method for Deploying Distributed Denial of Service Attack Defense Strategies on Edge Servers Using Reinforcement Learning.

[DOI]

Haodi Zhang

Jianye Hao

Xiaohong Li

IEEE Access, 2020

Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning.

[DOI]

Jianyu Zhang

Jianye Hao

Françoise Fogelman-Soulié

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Multi-Task Reinforcement Learning Approach for Navigating Unsignalized Intersections.

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge.

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer.

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning.

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets.

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning.

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks.

[DOI]

Proceedings of the 25th International Conference on Engineering of Complex Computer Systems, 2020

Faster Convention Emergence by Avoiding Local Conventions in Reinforcement Social Learning.

[DOI]

Muzi Liu

Ho-fung Leung

Jianye Hao

Proceedings of the Artificial Intelligence and Soft Computing, 2020

MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning.

[DOI]

Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving.

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Large Scale Deep Reinforcement Learning in War-games.

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Efficient Deep Reinforcement Learning through Policy Transfer.

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach.

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning.

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management.

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning.

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Agent Game Abstraction via Graph Attention Neural Network.

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

LoopFix: an approach to automatic repair of buggy loops.

[DOI]

J. Syst. Softw., 2019

There is Limited Correlation between Coverage and Robustness for Deep Neural Networks.

[DOI]

CoRR, 2019

Efficient meta reinforcement learning via meta goal generation.

[DOI]

Haotian Fu

Hongyao Tang

Jianye Hao

CoRR, 2019

Spectral-based Graph Convolutional Network for Directed Graphs.

[DOI]

CoRR, 2019

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction.

[DOI]

CoRR, 2019

Attention-based recurrent neural network for influenza epidemic prediction.

[DOI]

BMC Bioinform., 2019

Using deep reinforcement learning to speed up collective cell migration.

[DOI]

BMC Bioinform., 2019

A learning-based framework for miRNA-disease association identification using neural networks.

[DOI]

Bioinform., 2019

SA-IGA: a multiagent reinforcement learning method towards socially optimal outcomes.

[DOI]

Auton. Agents Multi Agent Syst., 2019

An Efficient Handover Authentication Mechanism for 5G Wireless Network.

[DOI]

Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning.

[DOI]

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework.

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Efficient Detection and Optimal Response against Sophisticated Opponents.

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Building Personalized Simulator for Interactive Search.

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Explicitly Coordinated Policy Iteration.

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces.

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas.

[DOI]

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019

Learning Adaptive Display Exposure for Real-Time Advertising.

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Automatic Feature Engineering by Deep Reinforcement Learning.

[DOI]

Jianyu Zhang

Jianye Hao

Françoise Fogelman-Soulié

Zan Wang

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Reinforcement Learning for Cooperative Overtaking.

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework.

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems.

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

ONECG: Online Negotiation Environment for Coalitional Games.

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning.

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

An Adaptive Markov Strategy for Defending Smart Grid False Data Injection From Malicious Attackers.

[DOI]

IEEE Trans. Smart Grid, 2018

Efficient and Robust Emergence of Norms through Heuristic Collective Learning.

[DOI]

ACM Trans. Auton. Adapt. Syst., 2018

An Adaptive Learning Based Network Selection Approach for 5G Dynamic Environments.

[DOI]

Xiaohong Li

Ru Cao

Jianye Hao

Entropy, 2018

Hierarchical Deep Multiagent Reinforcement Learning.

[DOI]

CoRR, 2018

SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions.

[DOI]

CoRR, 2018

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.

[DOI]

CoRR, 2018

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.

[DOI]

CoRR, 2018

An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems.

[DOI]

CoRR, 2018

Hierarchical Heuristic Learning towards Effcient Norm Emergence.

[DOI]

CoRR, 2018

SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes.

[DOI]

CoRR, 2018

Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach.

[DOI]

CoRR, 2018

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments.

[DOI]

Yan Zheng

Jianye Hao

Zongzhang Zhang

CoRR, 2018

Effective norm emergence in cell systems under limited communication.

[DOI]

BMC Bioinform., 2018

ESRQ: An Efficient Secure Routing Method in Wireless Sensor Networks Based on Q-Learning.

[DOI]

Proceedings of the 17th IEEE International Conference On Trust, 2018

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments.

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space.

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid.

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Speeding up Collective Cell Migration Using Deep Reinforcement Learning.

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Attention-Based Recurrent Multi-Channel Neural Network for Influenza Epidemic Prediction.

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

The Dynamics of Opinion Evolution in Gossiper-Media Model with WoLS-CALA Learning.

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions.

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Recurrent Deep Multiagent Q-Learning for Autonomous Agents in Future Smart Grid.

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Efficient Convention Emergence through Decoupled Reinforcement Social Learning with Teacher-Student Mechanism.

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Blind Image Denoising via Dependent Dirichlet Process Tree.

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Reciprocal Social Strategy in Social Repeated Games and Emergence of Social Norms.

[DOI]

Chi-Kong Chan

Jianye Hao

Ho-fung Leung

Int. J. Artif. Intell. Tools, 2017

The dynamics of reinforcement social learning in networked cooperative multiagent systems.

[DOI]

Eng. Appl. Artif. Intell., 2017

Automated Software Security Requirements Recommendation Based on FT-SR Model.

[DOI]

Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

FESR: A Framework for Eliciting Security Requirements Based on Integration of Common Criteria and Weakness Detection Formal Model.

[DOI]

Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

An Adaptive Handover Trigger Strategy for 5G C/U Plane Split Heterogeneous Network.

[DOI]

Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017

Defending Against Man-In-The-Middle Attack in Repeated Games.

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

An Improved Android Collusion Attack Detection Method Based on Program Slicing.

[DOI]

Proceedings of the Formal Methods and Software Engineering, 2017

TLSsem: A TLS Security-Enhanced Mechanism against MITM Attacks in Public WiFis.

[DOI]

Proceedings of the 22nd International Conference on Engineering of Complex Computer Systems, 2017

Towards Solving Decision Making Problems Using Probabilistic Model Checking.

[DOI]

Proceedings of the 22nd International Conference on Engineering of Complex Computer Systems, 2017

A Prediction and Learning Based Approach to Network Selection in Dynamic Environments.

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

A real-time ensemble classification algorithm for time series data.

[DOI]

Proceedings of the IEEE International Conference on Agents, 2017

Effective norm emergence in cell systems under limited communication.

[DOI]

Xiaotian Hao

Jianye Hao

Wang Li

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack.

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Improved EGT-Based Robustness Analysis of Negotiation Strategies in Multiagent Systems via Model Checking.

[DOI]

IEEE Trans. Hum. Mach. Syst., 2016

Fepchecker: An Automatic Model Checker for Verifying Fairness and Non-Repudiation of Security Protocols in Web Service.

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2016

Formal Modeling and Verification of Security Protocols on Cloud Computing Systems Based on UML 2.3.

[DOI]

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

E-SSL: An SSL Security-Enhanced Method for Bypassing MITM Attacks in Mobile Internet.

[DOI]

Proceedings of the Structured Object-Oriented Formal Language and Method, 2016

Designing minimal effective normative systems with the help of lightweight formal methods.

[DOI]

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Accelerating Norm Emergence Through Hierarchical Heuristic Learning.

[DOI]

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Socially-Aware Multiagent Learning: Towards Socially Optimal Outcomes.

[DOI]

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Dynamic analysis of cell interactions in biological environments under multiagent social learning framework.

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract).

[DOI]

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Reinforcement social learning of social optimality with influencer agents.

[DOI]

Jianye Hao

Ho-fung Leung

Web Intell., 2015

Multiagent Reinforcement Social Learning toward Coordination in Cooperative Multiagent Systems.

[DOI]

Jianye Hao

Ho-fung Leung

Zhong Ming

ACM Trans. Auton. Adapt. Syst., 2015

Introducing decision entrustment mechanism into repeated bilateral agent interactions to achieve social optimality.

[DOI]

Jianye Hao

Ho-fung Leung

Auton. Agents Multi Agent Syst., 2015

An Adaptive Markov Strategy for Effective Network Intrusion Detection.

[DOI]

Jianye Hao

Yinxing Xue

Mahinthan Chandramohan

Yang Liu

Jun Sun

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Toward Efficient Agreements in Real-Time Multilateral Agent-Based Negotiations.

[DOI]

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Reciprocal Social Strategy in Social Repeated Games.

[DOI]

Chi-Kong Chan

Jianye Hao

Ho-fung Leung

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems.

[DOI]

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Heuristic Collective Learning for Efficient and Robust Emergence of Social Norms.

[DOI]

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

CUHKAgent: An Adaptive Negotiation Strategy for Bilateral Negotiations over Multiple Items.

[DOI]

Jianye Hao

Ho-fung Leung

Proceedings of the Novel Insights in Agent-based Complex Automated Negotiation, 2014

An efficient and robust negotiating strategy in bilateral negotiations over multiple items.

[DOI]

Eng. Appl. Artif. Intell., 2014

Robustness Analysis of Negotiation Strategies through Multiagent Learning in Repeated Negotiation Games.

[DOI]

Proceedings of the Multiagent System Technologies - 12th German Conference, 2014

Evaluating Practical Automated Negotiation Based on Spatial Evolutionary Game Theory.

[DOI]

Proceedings of the KI 2014: Advances in Artificial Intelligence, 2014

Networked Reinforcement Social Learning towards Coordination in Cooperative Multiagent Systems.

[DOI]

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Spatial evolutionary game-theoretic perspective on agent-based complex negotiations.

[DOI]

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Adaptive Defending Strategy for Smart Grid Attacks.

[DOI]

Proceedings of the 2nd Workshop on Smart Energy Grid Security, 2014

2013

Fairness, social optimality and individual rationality in agent interactions.

[DOI]

Jianye Hao

PhD thesis, 2013

Achieving Socially Optimal Outcomes in Multiagent Systems with Reinforcement Social Learning.

[DOI]

Jianye Hao

Ho-fung Leung

ACM Trans. Auton. Adapt. Syst., 2013

The Dynamics of Reinforcement Social Learning in Cooperative Multiagent Systems.

[DOI]

Jianye Hao

Ho-fung Leung

Proceedings of the IJCAI 2013, 2013

Reinforcement social learning of coordination in cooperative multiagent systems.

[DOI]

Jianye Hao

Ho-fung Leung

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012

Maintaining cooperation in homogeneous multi-agent system.

[DOI]

Jianye Hao

Ho-fung Leung

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Probabilistic Model Checking Multi-agent Behaviors in Dispersion Games Using Counter Abstraction.

[DOI]

Proceedings of the PRIMA 2012: Principles and Practice of Multi-Agent Systems, 2012

An Efficient Negotiation Protocol to Achieve Socially Optimal Allocation.

[DOI]

Jianye Hao

Ho-fung Leung

Proceedings of the PRIMA 2012: Principles and Practice of Multi-Agent Systems, 2012

Incorporating Fairness into Agent Interactions Modeled as Two-Player Normal-Form Games.

[DOI]

Jianye Hao

Ho-fung Leung

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Learning to Achieve Socially Optimal Solutions in General-Sum Games.

[DOI]

Jianye Hao

Ho-fung Leung

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Incorporating Fairness into Infinitely Repeated Games with Conflicting Interests for Conflicts Elimination.

[DOI]

Jianye Hao

Ho-fung Leung

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Analyzing multi-agent systems with probabilistic model checking approach.

[DOI]

Proceedings of the 34th International Conference on Software Engineering, 2012

ABiNeS: An Adaptive Bilateral Negotiating Strategy over Multiple Items.

[DOI]

Jianye Hao

Ho-fung Leung

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

Achieving Social Optimality with Influencer Agents.

[DOI]

Jianye Hao

Ho-fung Leung

Proceedings of the Complex Sciences - Second International Conference, 2012

2011

Learning to Achieve Social Rationality Using Tag Mechanism in Repeated Interactions.

[DOI]

Jianye Hao

Ho-fung Leung

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010

Strategy and Fairness in Repeated Two-agent Interaction.

[DOI]

Jianye Hao

Ho-fung Leung

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009

Bus-Based and NoC Infrastructure Performance Emulation and Comparison.

[DOI]

Ling Wang

Jianye Hao

Feixuan Wang

Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009

2007

Theoretical Investigation on Post-Processed LDA for Face and Palmprint Recognition.

[DOI]

Jianye Hao

Wangmeng Zuo

Kuanquan Wang

Proceedings of the Computational Intelligence and Security, International Conference, 2007