Bo Jin

Orcid: 0000-0003-1028-5989

Affiliations:
  • East China Normal University, School of Computer Science and Software Engineering, Shanghai, China
  • Shanghai Jiao Tong University, School of Aeronautics and Astronautics, China (PhD 2014)


According to our database1, Bo Jin authored at least 54 papers between 2012 and 2024.

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Bibliography

2024
Complementary information mutual learning for multimodality medical image segmentation.
Neural Networks, 2024

FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework.
CoRR, 2024

Optimizing Efficiency and Effectiveness in Sequential Prompt Strategy for SAM Using Reinforcement Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Interactive medical image segmentation with self-adaptive confidence calibration.
Frontiers Inf. Technol. Electron. Eng., September, 2023

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning.
J. Mach. Learn. Res., 2023

Can language agents be alternatives to PPO? A Preliminary Empirical Study On OpenAI Gym.
CoRR, 2023

Negotiated Reasoning: On Provably Addressing Relative Over-Generalization.
CoRR, 2023

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning.
CoRR, 2023

Learning Roles with Emergent Social Value Orientations.
CoRR, 2023

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning.
Proceedings of the ACM Web Conference 2023, 2023

Hierarchical Diffusion for Offline Decision Making.
Proceedings of the International Conference on Machine Learning, 2023

Learning Optimal "Pigovian Tax" in Sequential Social Dilemmas.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Learning to schedule multi-NUMA virtual machines via reinforcement learning.
Pattern Recognit., 2022

Structured Cooperative Reinforcement Learning With Time-Varying Composite Action Space.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Mitigating disparate impact on model accuracy in differentially private learning.
Inf. Sci., 2022

Obtaining Dyadic Fairness by Optimal Transport.
CoRR, 2022

Learning structured communication for multi-agent reinforcement learning.
Auton. Agents Multi Agent Syst., 2022

VMAgent: A Practical Virtual Machine Scheduling Platform.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Agent Path Finding with Prioritized Communication Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Weighted Mean-Field Multi-Agent Reinforcement Learning via Reward Attribution Decomposition.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

Obtaining Dyadic Fairness by Optimal Transport.
Proceedings of the IEEE International Conference on Big Data, 2022

ReAssigner: A Plug-and-Play Virtual Machine Scheduling Intensifier for Heterogeneous Requests.
Proceedings of the IEEE International Conference on Big Data, 2022

CLD-Net: Complement Local Detail For Medical Small-Object Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning.
IEEE Trans. Medical Imaging, 2021

Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem.
IEEE Trans. Cybern., 2021

VMAgent: Scheduling Simulator for Reinforcement Learning.
CoRR, 2021

Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration.
CoRR, 2021

Dealing with Non-Stationarity in Multi-Agent Reinforcement Learning via Trust Region Decomposition.
CoRR, 2021

Structured Diversification Emergence via Reinforced Organization Control and Hierarchical Consensus Learning.
CoRR, 2021

HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Semi-supervised Medical Image Segmentation with Confidence Calibration.
Proceedings of the International Joint Conference on Neural Networks, 2021

Structured Diversification Emergence via Reinforced Organization Control and Hierachical Consensus Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Hyper-Meta Reinforcement Learning with Sparse Reward.
CoRR, 2020

Visual-to-Semantic Hashing for Zero Shot Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Low Rank Communication for Federated Learning.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2020 International Workshops, 2020

Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Accelerate Black-Box Attack with White-Box Prior Knowledge.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
Sequential Fault Diagnosis Based on LSTM Neural Network.
IEEE Access, 2018

Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017
Incremental and Decremental Extreme Learning Machine Based on Generalized Inverse.
IEEE Access, 2017

2016
A compressive tracking based on time-space Kalman fusion model.
Sci. China Inf. Sci., 2016

Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

On Modeling and Predicting Individual Paper Citation Count over Time.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2014
Robust visual multitask tracking via composite sparse model.
J. Electronic Imaging, 2014

Multi-modality Image Fusion via Generalized Riesz-wavelet Transformation.
KSII Trans. Internet Inf. Syst., 2014

Generalized proximal conjugate gradient method for image deblurring.
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014

2013
Robust visual tracking using discriminative stable regions and K-means clustering.
Neurocomputing, 2013

A sparse proximal Newton splitting method for constrained image deblurring.
Neurocomputing, 2013

Locally discriminative stable model for visual tracking with clustering and principle component analysis.
IET Comput. Vis., 2013

2012
A dual-kernel-based tracking approach for visual target.
Sci. China Inf. Sci., 2012


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