Bo Zhao

Orcid: 0000-0002-7684-7342

Affiliations:
  • Beijing Normal University, School of Systems Science, China
  • Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
  • Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China


According to our database1, Bo Zhao authored at least 108 papers between 2013 and 2025.

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

Timeline

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Bibliography

2025
Distributed Optimal Containment Control of Wheeled Mobile Robots via Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., September, 2025

Task-Aware KV Compression For Cost-Effective Long Video Understanding.
CoRR, June, 2025

Video-XL-2: Towards Very Long-Video Understanding Through Task-Aware KV Sparsification.
CoRR, June, 2025

RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction.
CoRR, May, 2025

DNAD: Differentiable Neural Architecture Distillation.
CoRR, April, 2025

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking.
CoRR, April, 2025

Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

Optimal Learning Output Tracking Control: A Model-Free Policy Optimization Method With Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding.
CoRR, March, 2025

Event-triggered control for input-constrained nonzero-sum games through particle swarm optimized neural networks.
Neural Networks, 2025

On robust learning of memory attractors with noisy deep associative memory networks.
Neural Networks, 2025

Neuro-dynamic programming-based event-triggered fault tolerant control for nonlinear systems with multiple faults.
Neural Networks, 2025

Event-triggered robust hierarchical control for uncertain multiplayer Stackelberg games via adaptive dynamic programming.
Neurocomputing, 2025

Improved cost function-based fault tolerant control for nonlinear systems with simultaneous faults.
Neurocomputing, 2025

Event-triggered neuro-optimal fault tolerant control for uncertain macro-micro composite stage system with actuator faults.
Eng. Appl. Artif. Intell., 2025

Distributed Fault-Tolerant Consensus Control Based on Zero-Sum Differential Games for Nonlinear Multi-agent Systems.
Proceedings of the Advances in Neural Networks - ISNN 2025, 2025

Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Towards Universal Dataset Distillation via Task-Driven Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MLVU: Benchmarking Multi-task Long Video Understanding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Synchronization of Delayed Memristor-Based Neural Networks via Pinning Control With Local Information.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Distributed Fault Tolerant Consensus Control of Nonlinear Multiagent Systems via Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Event-Triggered Robust Adaptive Dynamic Programming for Multiplayer Stackelberg-Nash Games of Uncertain Nonlinear Systems.
IEEE Trans. Cybern., January, 2024

Fault-tolerant tracking control for nonlinear systems with multiplicative actuator faults in view of zero-sum differential games.
Neurocomputing, January, 2024

Dynamic compensator-based near-optimal control for unknown nonaffine systems via integral reinforcement learning.
Neurocomputing, January, 2024

Event-Triggered Decentralized Integral Sliding Mode Control for Input-Constrained Nonlinear Large-Scale Systems With Actuator Failures.
IEEE Trans. Syst. Man Cybern. Syst., 2024

Semi-supervised accuracy predictor-based multi-objective neural architecture search.
Neurocomputing, 2024

Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding.
CoRR, 2024

MLVU: A Comprehensive Benchmark for Multi-Task Long Video Understanding.
CoRR, 2024

Efficient Multimodal Large Language Models: A Survey.
CoRR, 2024

M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models.
CoRR, 2024

Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability.
CoRR, 2024

Efficient Multimodal Learning from Data-centric Perspective.
CoRR, 2024

Uncertainty-based Continual Learning for Neural Networks with Low-rank Variance Matrices.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Fetch and Forge: Efficient Dataset Condensation for Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SegVol: Universal and Interactive Volumetric Medical Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Temporal Normalization Flow for Probabilistic Time Series Forecasting.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

ENAO: Evolutionary Neural Architecture Optimization in the Approximate Continuous Latent Space of a Deep Generative Model.
Proceedings of the International Joint Conference on Neural Networks, 2024

Massive Multi-agent Mean-Field Game Using Online Federated Adaptive Critic-Density Learning.
Proceedings of the Neural Information Processing - 31st International Conference, 2024

Large-scale Dataset Pruning with Dynamic Uncertainty.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Event-Triggered Local Control for Nonlinear Interconnected Systems Through Particle Swarm Optimization-Based Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Adaptive Dynamic Programming-Based Cooperative Motion/Force Control for Modular Reconfigurable Manipulators: A Joint Task Assignment Approach.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Fault tolerant control for a class of nonlinear systems with multiple faults using neuro-dynamic programming.
Neurocomputing, October, 2023

An efficient lightweight convolutional neural network for industrial surface defect detection.
Artif. Intell. Rev., September, 2023

Policy Optimization Adaptive Dynamic Programming for Optimal Control of Input-Affine Discrete-Time Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Policy gradient adaptive dynamic programming for nonlinear discrete-time zero-sum games with unknown dynamics.
Soft Comput., May, 2023

Adaptive Dynamic Programming-Based Event-Triggered Robust Control for Multiplayer Nonzero-Sum Games With Unknown Dynamics.
IEEE Trans. Cybern., 2023

Event-triggered adaptive dynamic programming for decentralized tracking control of input constrained unknown nonlinear interconnected systems.
Neural Networks, 2023

Open-DDVM: A Reproduction and Extension of Diffusion Model for Optical Flow Estimation.
CoRR, 2023

SVIT: Scaling up Visual Instruction Tuning.
CoRR, 2023

Pushing the Limits of 3D Shape Generation at Scale.
CoRR, 2023

Hierarchical Decision Problems for Non-Affine Multi-Player Systems.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

2022
Event-Triggered Control of Discrete-Time Zero-Sum Games via Deterministic Policy Gradient Adaptive Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Policy Gradient Adaptive Critic Designs for Model-Free Optimal Tracking Control With Experience Replay.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems.
Neural Networks, 2022

DMPP: Differentiable multi-pruner and predictor for neural network pruning.
Neural Networks, 2022

CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks.
CoRR, 2022

Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space.
Artif. Intell. Rev., 2022

Particle Swarm optimization-Based Neuro-Dynamic Programming for Nonzero-Sum Games of Multi-Player Nonlinear Systems.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022

Methodologies of building synergetic learning systems.
Proceedings of the 18th International Conference on Computational Intelligence and Security, 2022

2021
Adaptive Dynamic Programming for Control: A Survey and Recent Advances.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Sliding-Mode Surface-Based Approximate Optimal Control for Uncertain Nonlinear Systems With Asymptotically Stable Critic Structure.
IEEE Trans. Cybern., 2021

Event-triggered adaptive dynamic programming for multi-player zero-sum games with unknown dynamics.
Soft Comput., 2021

Particle swarm optimized neural networks based local tracking control scheme of unknown nonlinear interconnected systems.
Neural Networks, 2021

Observer-based event-triggered control for zero-sum games of input constrained multi-player nonlinear systems.
Neural Networks, 2021

Event-triggered control for input constrained non-affine nonlinear systems based on neuro-dynamic programming.
Neurocomputing, 2021

Integral Reinforcement Learning-Based Optimal Control for Nonzero-Sum Games of Multi-Player Input-Constrained Nonlinear Systems.
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021

Kernel-Based Autoencoders for Large-Scale Representation Learning.
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021

2020
Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2020

Event-Triggered Decentralized Tracking Control of Modular Reconfigurable Robots Through Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2020

Adaptive dynamic programming-based decentralised control for large-scale nonlinear systems subject to mismatched interconnections with unknown time-delay.
Int. J. Syst. Sci., 2020

Asymptotically stable critic designs for approximate optimal stabilization of nonlinear systems subject to mismatched external disturbances.
Neurocomputing, 2020

Deterministic policy gradient adaptive dynamic programming for model-free optimal control.
Neurocomputing, 2020

Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks.
IEEE CAA J. Autom. Sinica, 2020

Fault tolerant tracking control for nonlinear systems with actuator failures through particle swarm optimization-based adaptive dynamic programming.
Appl. Soft Comput., 2020

Boosting and Residual Learning Scheme with Pseudoinverse Learners.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Augmented Bi-path Network for Few-shot Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Approximate Optimal Control of Nonlinear Systems with Mismatched Perturbations Based on Asymptotically Stable Critic Neural Network.
Proceedings of the ICCDE 2020: The 6th International Conference on Computing and Data Engineering, 2020

2019
An echo state network based approach to room classification of office buildings.
Neurocomputing, 2019

Zero-Shot Learning Via Recurrent Knowledge Transfer.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

An Unified View on the Feedforward Neural Network Architecture.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

An Ensemble Model for Error Modeling with Pseudoinverse Learning Algorithm.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Solution of Two-Person Zero Sum Differential Games with Incomplete State Information.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

Distributed Adaptive Dynamic Programming Algorithm for Office Energy Control with Multiple Batteries.
Proceedings of the International Joint Conference on Neural Networks, 2019

Local Near-Optimal Control for Interconnected Systems with Time-Varying Delays.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Large-Scale Datasets for Going Deeper in Image Understanding.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A Large-Scale Attribute Dataset for Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Decentralized Control for Large-Scale Nonlinear Systems With Unknown Mismatched Interconnections via Policy Iteration.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Local Tracking Control for Unknown Interconnected Systems via Neuro-Dynamic Programming.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems.
Inf. Sci., 2017

Observer-critic structure-based adaptive dynamic programming for decentralised tracking control of unknown large-scale nonlinear systems.
Int. J. Syst. Sci., 2017

Self-tuned local feedback gain based decentralized fault tolerant control for a class of large-scale nonlinear systems.
Neurocomputing, 2017

Zero-shot Learning via Shared-Reconstruction-Graph Pursuit.
CoRR, 2017

AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding.
CoRR, 2017

Data-based robust near-optimal decentralized stabilization of unknown large-scale systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A Generalized Policy Iteration Adaptive Dynamic Programming Algorithm for Optimal Control of Discrete-Time Nonlinear Systems with Actuator Saturation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Neuro-control of Nonlinear Systems with Unknown Input Constraints.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Zero-Shot Learning Posed as a Missing Data Problem.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Zero-Shot Learning via Revealing Data Distribution.
CoRR, 2016

Adaptive dynamic programming based fault compensation control for nonlinear systems with actuator failures.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Asteroid landing via onboard optimal guidance based on bidirectional extreme learning machine.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Decentralized adaptive neural network sliding mode control for reconfigurable manipulators with data-based modeling.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Decentralized Stabilization for Nonlinear Systems with Unknown Mismatched Interconnections.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2014
Adaptive Neural Network Position/Force Hybrid Control for Constrained Reconfigurable Manipulators.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2013
Observer based quasi-static deformation compensation control for three-link rigid-flexible manipulator.
Proceedings of the IEEE International Conference on Information and Automation, 2013


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