We stand with Ukraine

We stand with Ukraine

Hangyu Mao

Orcid: 0000-0002-4499-7581

According to our database¹, Hangyu Mao authored at least 42 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency.

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CoRR, 2024

Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation.

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CoRR, 2024

2023

Digital Twin-Driven Product Sustainable Design for Low Carbon Footprint.

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J. Comput. Inf. Sci. Eng., December, 2023

A closed-loop digital twin modeling method integrated with carbon footprint analysis.

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Comput. Ind. Eng., August, 2023

PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning.

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CoRR, 2023

DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge.

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CoRR, 2023

Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach.

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CoRR, 2023

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems.

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CoRR, 2023

Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function - with Real Applications in Traffic Domain.

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CoRR, 2023

TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents.

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CoRR, 2023

Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems.

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CoRR, 2023

A Dual-Agent Scheduler for Distributed Deep Learning Jobs on Public Cloud via Reinforcement Learning.

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Zhengchao Zhang

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Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations.

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Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning.

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Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Common belief multi-agent reinforcement learning based on variational recurrent models.

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Neurocomputing, 2022

Transformer in Transformer as Backbone for Deep Reinforcement Learning.

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CoRR, 2022

PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning.

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CoRR, 2022

API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks.

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CoRR, 2022

Multiagent Q-learning with Sub-Team Coordination.

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Matthew E. Taylor

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

Optimizing communication in deep reinforcement learning with <i>XingTian</i>.

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Proceedings of the Middleware '22: 23rd International Middleware Conference, Quebec, QC, Canada, November 7, 2022

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

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

Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning.

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

Deep Belief Network-based Prediction for Gear Noise.

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Proceedings of the 8th International Conference on Mechatronics and Robotics Engineering, 2022

Multiagent Q-learning with Sub-Team Coordination.

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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.

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

2021

Structural relational inference actor-critic for multi-agent reinforcement learning.

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Neurocomputing, 2021

Towards robust and domain agnostic reinforcement learning competitions.

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CoRR, 2021

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

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CoRR, 2021

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning.

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

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

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

2020

Reward Design in Cooperative Multi-agent Reinforcement Learning for Packet Routing.

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CoRR, 2020

Learning multi-agent communication with double attentional deep reinforcement learning.

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Zhengchao Zhang

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Auton. Agents Multi Agent Syst., 2020

Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020.

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Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Learning Agent Communication under Limited Bandwidth by Message Pruning.

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Zhengchao Zhang

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

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning.

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Zhengchao Zhang

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

2019

Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing.

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Zhengchao Zhang

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CoRR, 2019

Modelling the Dynamic Joint Policy of Teammates with Attention Multi-agent DDPG.

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Zhengchao Zhang

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

2018

Topic-Specific Retweet Count Ranking for Weibo.

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Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning.

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CoRR, 2017

Identifying Influential Users' Professions via the Microblogs They Forward.

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Proceedings of the 3rd International Workshop on Social Influence Analysis co-located with 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

2016

Predicting Restaurant Consumption Level through Social Media Footprints.

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Proceedings of the COLING 2016, 2016

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