Zihan Ding

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

Region-adaptive and context-complementary cross modulation for RGB-T semantic segmentation.

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[DOI]

Pattern Recognit., March, 2024

V2X-PC: Vehicle-to-everything Collaborative Perception via Point Cluster.

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[DOI]

CoRR, 2024

Efficient and Guaranteed-Safe Non-Convex Trajectory Optimization with Constrained Diffusion Model.

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[DOI]

CoRR, 2024

Diffusion World Model.

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CoRR, 2024

2023

Language-Aware Spatial-Temporal Collaboration for Referring Video Segmentation.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning.

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[DOI]

Zihan Ding

Chi Jin

CoRR, 2023

Survey of Consciousness Theory from Computational Perspective.

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[DOI]

Zihan Ding

Xiaoxi Wei

Yidan Xu

CoRR, 2023

Learning a Universal Human Prior for Dexterous Manipulation from Human Preference.

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[DOI]

CoRR, 2023

Enriching Phrases with Coupled Pixel and Object Contexts for Panoptic Narrative Grounding.

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Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Representation Learning for Low-rank General-sum Markov Games.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games.

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[DOI]

CoRR, 2022

Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game.

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[DOI]

Zhiyuan Yao

Zihan Ding

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding.

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[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding.

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[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation.

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[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center.

[BibT_eX]

[DOI]

Zhiyuan Yao

Zihan Ding

Thomas H. Clausen

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

2021

DROID: Minimizing the Reality Gap Using Single-Shot Human Demonstration.

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[DOI]

IEEE Robotics Autom. Lett., 2021

Reinforced Workload Distribution Fairness.

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[DOI]

Zhiyuan Yao

Zihan Ding

Thomas Heide Clausen

CoRR, 2021

Not Only Domain Randomization: Universal Policy with Embedding System Identification.

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[DOI]

Zihan Ding

CoRR, 2021

Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning.

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[DOI]

CoRR, 2021

Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos.

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[DOI]

CoRR, 2021

Efficient Reinforcement Learning Development with RLzoo.

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[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos.

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[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Sim-to-Real Transfer for Robotic Manipulation with Tactile Sensory.

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[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation.

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[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

CDT: Cascading Decision Trees for Explainable Reinforcement Learning.

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[DOI]

CoRR, 2020

RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library.

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[DOI]

CoRR, 2020

Crossing the Gap: A Deep Dive into Zero-Shot Sim-to-Real Transfer for Dynamics.

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[DOI]

Eugene Valassakis

Zihan Ding

Edward Johns

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Sim-to-Real Transfer for Optical Tactile Sensing.

[BibT_eX]

[DOI]

Zihan Ding

Nathan F. Lepora

Edward Johns

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence.

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[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence.

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[DOI]

CoRR, 2019

TGAN: Deep Tensor Generative Adversarial Nets for Large Image Generation.

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[DOI]

CoRR, 2019

A Parameter-Free Cleaning Method for SMOTE in Imbalanced Classification.

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[DOI]

IEEE Access, 2019

Voting Based Constructive Covering Algorithm.

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[DOI]

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach.

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[DOI]

Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

2018

Deep Reinforcement Learning for Intelligent Transportation Systems.

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[DOI]

CoRR, 2018

Accelerated exhaustive eye glints localization method for infrared video oculography.

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[DOI]

Zihan Ding

Jiayi Luo

Hongping Deng

Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

Zihan Ding

Bibliography

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