Rundong Wang

According to our database, Rundong Wang authored at least 28 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PP-ISEA: An Efficient Algorithm for High-Resolution Three-Dimensional Geometry Reconstruction of Space Targets Using Limited Inverse Synthetic Aperture Radar Images.

Rundong Wang, Weigang Zhu, Chenxuan Li, Bakun Zhu, Hongfeng Pang

Sensors, June, 2024

HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer.

Wenyan Xu, Rundong Wang, Chen Li, Yonghong Hu, Zhonghua Lu

CoRR, 2024

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control.

Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation.

Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee Keong Kwoh

IEEE Trans. Knowl. Data Eng., August, 2023

Reinforcement Learning for Quantitative Trading.

Shuo Sun, Rundong Wang, Bo An

ACM Trans. Intell. Syst. Technol., 2023

Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control.

Longtao Zheng, Rundong Wang, Bo An

CoRR, 2023

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning.

Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan

CoRR, 2023

Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective.

Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A decentralized algorithm for the resource allocation in the mobile edge system of the Internet of Vehicles.

Jiayi Sun, Zhaoyang Xu, Rundong Wang, Renwen Zhang

Proceedings of the 6th IEEE International Conference on Information Systems and Computer Aided Educatio, 2023

Off-Beat Multi-Agent Reinforcement Learning.

Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

CCBTC: A Blockchain-Based Covert Communication Scheme over Bitcoin Transactions.

Rundong Wang, Bohao Li, Wei Ren, Jie He

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities.

Bo An, Shuo Sun, Rundong Wang

IEEE Intell. Syst., 2022

Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach.

Shuo Sun, Rundong Wang, Bo An

CoRR, 2022

DeepScalper: A Risk-Aware Deep Reinforcement Learning Framework for Intraday Trading with Micro-level Market Embedding.

Shuo Sun, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An

CoRR, 2022

Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation.

Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chi Xu, Chee Keong Kwoh

CoRR, 2022

DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities.

Shuo Sun, Wanqi Xue, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Defensive Compressive Time Delay Estimation Using Information Bottleneck.

Yiming Li, Rundong Wang, Yulin Hu, Junan Yang, Xiaoxia Cai

IEEE Signal Process. Lett., 2021

RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents.

Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich

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

Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning.

Hang Xu, Rundong Wang, Lev Raizman, Zinovi Rabinovich

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management.

Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao

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

2020

MetaInfoNet: Learning Task-Guided Information for Sample Reweighting.

Hongxin Wei, Lei Feng, Rundong Wang, Bo An

CoRR, 2020

Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication.

Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning.

Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich

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

Learning Efficient Multi-agent Communication: An Information Bottleneck Approach.

Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich

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

Learning Expensive Coordination: An Event-Based Deep RL Approach.

Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An

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

Analysis of Kinematic Relationship of Superposition Cooperative Dual-Industrial Robot.

Minxiu Kong, Rundong Wang, Yanchun Cheng, Jubo Yang

Proceedings of the CIPAE 2020: 2020 International Conference on Computers, 2020

Time-Optimal Trajectory Planning Based on Dynamics for Industrial Robot.

Rundong Wang, Minxiu Kong, Yanchun Cheng, Marco Castellani

Proceedings of the 5th International Conference on Automation, 2020

2019

Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning.

Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An

CoRR, 2019