Bin Wang

Orcid: 0000-0002-0267-3749

Affiliations:
  • Huawei Noah's Ark Lab, China
  • University of Jinan, School of Electrical Engineering, China
  • Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China (PhD 2015)


According to our database1, Bin Wang authored at least 43 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning.
IEEE Trans. Ind. Informatics, September, 2024

Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition.
IEEE Trans. Games, June, 2024

CALoR: Towards Comprehensive Model Inversion Defense.
CoRR, 2024

Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data.
CoRR, 2024

DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2023

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL.
Proceedings of the International Conference on Machine Learning, 2023

ChiPFormer: Transferable Chip Placement via Offline Decision Transformer.
Proceedings of the International Conference on Machine Learning, 2023

Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

TOFU: A Two-Step Floorplan Refinement Framework for Whitespace Reduction.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow.
Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

2022
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning.
CoRR, 2022

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow.
CoRR, 2022

PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning.
CoRR, 2022

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning.
CoRR, 2022

Rethinking Reinforcement Learning based Logic Synthesis.
CoRR, 2022

MOORe: Model-based Offline-to-Online Reinforcement Learning.
CoRR, 2022

DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity.
Proceedings of the Database Systems for Advanced Applications, 2022

Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System.
Proceedings of the Conference on Robot Learning, 2022

VMAPD: Generate Diverse Solutions for Multi-Agent Games with Recurrent Trajectory Discriminators.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021
Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization.
CoRR, 2021

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment.
CoRR, 2021

Off-Policy Training for Truncated TD(λ) Boosted Soft Actor-Critic.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Model-Based Reinforcement Learning via Imagination with Derived Memory.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Relational Navigation Learning in Continuous Action Space among Crowds.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
A Multi-Task Reinforcement Learning Approach for Navigating Unsignalized Intersections.
Proceedings of the IEEE Intelligent Vehicles Symposium, 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

2019
Adaptive cruise control via adaptive dynamic programming with experience replay.
Soft Comput., 2019

Graph Attention Memory for Visual Navigation.
CoRR, 2019

2017
Path planning of six-DOF serial robots based on improved artificial potential field method.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

Backward Path Tracking Control for Mobile Robot with Three Trailers.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Indoor robot navigation by coupling IMU, UWB, and encode.
Proceedings of the 10th International Conference on Software, 2016

A general adaptive dynamic programming approach with experience replay.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
Dual Heuristic dynamic Programming for nonlinear discrete-time uncertain systems with state delay.
Neurocomputing, 2014

A Kaiman filter-based actor-critic learning approach.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
A supervised Actor-Critic approach for adaptive cruise control.
Soft Comput., 2013

2012
The Optimal Control of Discrete-Time Delay Nonlinear System with Dual Heuristic Dynamic Programming.
Proceedings of the Neural Information Processing - 19th International Conference, 2012


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