Jianye Hao

According to our database1, Jianye Hao authored at least 148 papers between 2007 and 2021.

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Bibliography

2021
Generalized Centered 2-D Principal Component Analysis.
IEEE Trans. Cybern., 2021

SC2disease: a manually curated database of single-cell transcriptome for human diseases.
Nucleic Acids Res., 2021

An Adversarial Imitation Click Model for Information Retrieval.
CoRR, 2021

Learning Symbolic Rules for Interpretable Deep Reinforcement Learning.
CoRR, 2021

Automatic Web Testing using Curiosity-Driven Reinforcement Learning.
CoRR, 2021

Addressing Action Oscillations through Learning Policy Inertia.
CoRR, 2021

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction.
CoRR, 2021

Differentiable Logic Machines.
CoRR, 2021

Integrating multi-network topology for gene function prediction using deep neural networks.
Briefings Bioinform., 2021

Efficient policy detecting and reusing for non-stationarity in Markov games.
Auton. Agents Multi Agent Syst., 2021

2020
Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments.
J. Comput. Sci. Technol., 2020

HEBO: Heteroscedastic Evolutionary Bayesian Optimisation.
CoRR, 2020

Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning.
CoRR, 2020

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.
CoRR, 2020

What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator.
CoRR, 2020

Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint.
CoRR, 2020

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning.
CoRR, 2020

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning.
CoRR, 2020

CausalVAE: Structured Causal Disentanglement in Variational Autoencoder.
CoRR, 2020

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework.
CoRR, 2020

Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning.
CoRR, 2020

A Method for Deploying Distributed Denial of Service Attack Defense Strategies on Edge Servers Using Reinforcement Learning.
IEEE Access, 2020

Cross-data Automatic Feature Engineering via Meta-learning and Reinforcement Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping.
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.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning.
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.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising.
Proceedings of the 37th International Conference on Machine Learning, 2020

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.
Proceedings of the 8th International Conference on Learning Representations, 2020

An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks.
Proceedings of the 25th International Conference on Engineering of Complex Computer Systems, 2020

Faster Convention Emergence by Avoiding Local Conventions in Reinforcement Social Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning.
Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020

Large Scale Deep Reinforcement Learning in War-games.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Efficient Deep Reinforcement Learning through Policy Transfer.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Agent Game Abstraction via Graph Attention Neural Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
LoopFix: an approach to automatic repair of buggy loops.
J. Syst. Softw., 2019

There is Limited Correlation between Coverage and Robustness for Deep Neural Networks.
CoRR, 2019

Efficient meta reinforcement learning via meta goal generation.
CoRR, 2019

From Few to More: Large-scale Dynamic Multiagent Curriculum Learning.
CoRR, 2019

Spectral-based Graph Convolutional Network for Directed Graphs.
CoRR, 2019

Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction.
CoRR, 2019

Attention-based recurrent neural network for influenza epidemic prediction.
BMC Bioinform., 2019

Using deep reinforcement learning to speed up collective cell migration.
BMC Bioinform., 2019

A learning-based framework for miRNA-disease association identification using neural networks.
Bioinform., 2019

SA-IGA: a multiagent reinforcement learning method towards socially optimal outcomes.
Auton. Agents Multi Agent Syst., 2019

An Efficient Handover Authentication Mechanism for 5G Wireless Network.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning.
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.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Efficient Detection and Optimal Response against Sophisticated Opponents.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Building Personalized Simulator for Interactive Search.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Explicitly Coordinated Policy Iteration.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas.
Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019

Learning Adaptive Display Exposure for Real-Time Advertising.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Automatic Feature Engineering by Deep Reinforcement Learning.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Reinforcement Learning for Cooperative Overtaking.
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.
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.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

ONECG: Online Negotiation Environment for Coalitional Games.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning.
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.
IEEE Trans. Smart Grid, 2018

Efficient and Robust Emergence of Norms through Heuristic Collective Learning.
ACM Trans. Auton. Adapt. Syst., 2018

An Adaptive Learning Based Network Selection Approach for 5G Dynamic Environments.
Entropy, 2018

Hierarchical Deep Multiagent Reinforcement Learning.
CoRR, 2018

SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions.
CoRR, 2018

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.
CoRR, 2018

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.
CoRR, 2018

An Optimal Rewiring Strategy for Reinforcement Social Learning in Cooperative Multiagent Systems.
CoRR, 2018

Hierarchical Heuristic Learning towards Effcient Norm Emergence.
CoRR, 2018

SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes.
CoRR, 2018

Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach.
CoRR, 2018

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments.
CoRR, 2018

Effective norm emergence in cell systems under limited communication.
BMC Bioinform., 2018

ESRQ: An Efficient Secure Routing Method in Wireless Sensor Networks Based on Q-Learning.
Proceedings of the 17th IEEE International Conference On Trust, 2018

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Achieving Multiagent Coordination Through CALA-rFMQ Learning in Continuous Action Space.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents.
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.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Falsification of Cyber-Physical Systems Using Deep Reinforcement Learning.
Proceedings of the Formal Methods - 22nd International Symposium, 2018

Speeding up Collective Cell Migration Using Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Attention-Based Recurrent Multi-Channel Neural Network for Influenza Epidemic Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

The Dynamics of Opinion Evolution in Gossiper-Media Model with WoLS-CALA Learning.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions.
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.
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.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Blind Image Denoising via Dependent Dirichlet Process Tree.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Reciprocal Social Strategy in Social Repeated Games and Emergence of Social Norms.
Int. J. Artif. Intell. Tools, 2017

The dynamics of reinforcement social learning in networked cooperative multiagent systems.
Eng. Appl. Artif. Intell., 2017

Automated Software Security Requirements Recommendation Based on FT-SR Model.
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.
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017

An Adaptive Handover Trigger Strategy for 5G C/U Plane Split Heterogeneous Network.
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.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

An Improved Android Collusion Attack Detection Method Based on Program Slicing.
Proceedings of the Formal Methods and Software Engineering, 2017

TLSsem: A TLS Security-Enhanced Mechanism against MITM Attacks in Public WiFis.
Proceedings of the 22nd International Conference on Engineering of Complex Computer Systems, 2017

Towards Solving Decision Making Problems Using Probabilistic Model Checking.
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.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Effective norm emergence in cell systems under limited communication.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack.
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.
IEEE Trans. Hum. Mach. Syst., 2016

Fepchecker: An Automatic Model Checker for Verifying Fairness and Non-Repudiation of Security Protocols in Web Service.
Int. J. Softw. Eng. Knowl. Eng., 2016

Formal Modeling and Verification of Security Protocols on Cloud Computing Systems Based on UML 2.3.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

E-SSL: An SSL Security-Enhanced Method for Bypassing MITM Attacks in Mobile Internet.
Proceedings of the Structured Object-Oriented Formal Language and Method, 2016

Designing minimal effective normative systems with the help of lightweight formal methods.
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Accelerating Norm Emergence Through Hierarchical Heuristic Learning.
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.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015
Reinforcement social learning of social optimality with influencer agents.
Web Intell., 2015

Multiagent Reinforcement Social Learning toward Coordination in Cooperative Multiagent Systems.
ACM Trans. Auton. Adapt. Syst., 2015

Introducing decision entrustment mechanism into repeated bilateral agent interactions to achieve social optimality.
Auton. Agents Multi Agent Syst., 2015

An Adaptive Markov Strategy for Effective Network Intrusion Detection.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Toward Efficient Agreements in Real-Time Multilateral Agent-Based Negotiations.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Reciprocal Social Strategy in Social Repeated Games.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Heuristic Collective Learning for Efficient and Robust Emergence of Social Norms.
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.
Proceedings of the Novel Insights in Agent-based Complex Automated Negotiation, 2014

An efficient and robust negotiating strategy in bilateral negotiations over multiple items.
Eng. Appl. Artif. Intell., 2014

Robustness Analysis of Negotiation Strategies through Multiagent Learning in Repeated Negotiation Games.
Proceedings of the Multiagent System Technologies - 12th German Conference, 2014

Evaluating Practical Automated Negotiation Based on Spatial Evolutionary Game Theory.
Proceedings of the KI 2014: Advances in Artificial Intelligence, 2014

Networked Reinforcement Social Learning towards Coordination in Cooperative Multiagent Systems.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Spatial evolutionary game-theoretic perspective on agent-based complex negotiations.
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.
Proceedings of the 2nd Workshop on Smart Energy Grid Security, 2014

2013
Fairness, social optimality and individual rationality in agent interactions.
PhD thesis, 2013

Achieving Socially Optimal Outcomes in Multiagent Systems with Reinforcement Social Learning.
ACM Trans. Auton. Adapt. Syst., 2013

The Dynamics of Reinforcement Social Learning in Cooperative Multiagent Systems.
Proceedings of the IJCAI 2013, 2013

Reinforcement social learning of coordination in cooperative multiagent systems.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Maintaining cooperation in homogeneous multi-agent system.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Probabilistic Model Checking Multi-agent Behaviors in Dispersion Games Using Counter Abstraction.
Proceedings of the PRIMA 2012: Principles and Practice of Multi-Agent Systems, 2012

An Efficient Negotiation Protocol to Achieve Socially Optimal Allocation.
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.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Learning to Achieve Socially Optimal Solutions in General-Sum Games.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Incorporating Fairness into Infinitely Repeated Games with Conflicting Interests for Conflicts Elimination.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Analyzing multi-agent systems with probabilistic model checking approach.
Proceedings of the 34th International Conference on Software Engineering, 2012

ABiNeS: An Adaptive Bilateral Negotiating Strategy over Multiple Items.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

Achieving Social Optimality with Influencer Agents.
Proceedings of the Complex Sciences - Second International Conference, 2012

2011
Learning to Achieve Social Rationality Using Tag Mechanism in Repeated Interactions.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

2010
Strategy and Fairness in Repeated Two-agent Interaction.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009
Bus-Based and NoC Infrastructure Performance Emulation and Comparison.
Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009

2007
Theoretical Investigation on Post-Processed LDA for Face and Palmprint Recognition.
Proceedings of the Computational Intelligence and Security, International Conference, 2007


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