Fangwei Zhong

Orcid: 0000-0002-0428-4552

According to our database1, Fangwei Zhong authored at least 43 papers between 2017 and 2025.

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

Timeline

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Bibliography

2025
ReDMan: reliable dexterous manipulation with safe reinforcement learning.
Mach. Learn., August, 2025

Reinforced Context Order Recovery for Adaptive Reasoning and Planning.
CoRR, August, 2025

EmbRACE-3K: Embodied Reasoning and Action in Complex Environments.
CoRR, July, 2025

TrackVLA: Embodied Visual Tracking in the Wild.
CoRR, May, 2025

From Strangers to Assistants: Fast Desire Alignment for Embodied Agent-User Adaptation.
CoRR, May, 2025

VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models.
CoRR, May, 2025

Hierarchical Instruction-aware Embodied Visual Tracking.
CoRR, May, 2025

Probe by Gaming: A Game-based Benchmark for Assessing Conceptual Knowledge in LLMs.
CoRR, May, 2025

Causal Graph Guided Steering of LLM Values via Prompts and Sparse Autoencoders.
CoRR, January, 2025

Clinical Inspired MRI Lesion Segmentation.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Simulating Human-like Daily Activities with Desire-driven Autonomy.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CoMet: Metaphor-Driven Covert Communication for Multi-Agent Language Games.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Are the Values of LLMs Structurally Aligned with Humans? A Causal Perspective.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation.
Neural Networks, 2024

UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI.
CoRR, 2024

Simulating Human-like Daily Activities with Desire-driven Autonomy.
CoRR, 2024

SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning.
CoRR, 2024

Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fast Peer Adaptation with Context-aware Exploration.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation.
IEEE Robotics Autom. Lett., June, 2023

RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking.
CoRR, 2023

Proactive Multi-Camera Collaboration for 3D Human Pose Estimation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

GFPose: Learning 3D Human Pose Prior with Gradient Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
TarGF: Learning Target Gradient Field for Object Rearrangement.
CoRR, 2022

GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning.
CoRR, 2022

TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Disentangling Disease-related Representation from Obscure for Disease Prediction.
Proceedings of the International Conference on Machine Learning, 2022

ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
AD-VAT+: An Asymmetric Dueling Mechanism for Learning and Understanding Visual Active Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Towards Distraction-Robust Active Visual Tracking.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pose-Assisted Multi-Camera Collaboration for Active Object Tracking.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking.
Proceedings of the 7th International Conference on Learning Representations, 2019

CRAVES: Controlling Robotic Arm With a Vision-Based Economic System.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

End-to-end Active Object Tracking via Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
UnrealCV: Virtual Worlds for Computer Vision.
Proceedings of the 2017 ACM on Multimedia Conference, 2017


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