Zhihao Hu

According to our database, Zhihao Hu authored at least 32 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Uncertainty Visualization for Characterizing Heterogeneous Human Behaviors in discrete dynamical System Models.

Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman

Adv. Complex Syst., May, 2023

FVC: An End-to-End Framework Towards Deep Video Compression in Feature Space.

Zhihao Hu, Dong Xu, Guo Lu, Wei Jiang, Wei Wang, Shan Liu

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

Boosting Fair Classifier Generalization through Adaptive Priority Reweighing.

Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He

CoRR, 2023

Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training.

Ximing Xing, Chuang Wang, Haitao Zhou, Zhihao Hu, Chongxuan Li, Dong Xu, Qian Yu

CoRR, 2023

VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet.

Zhihao Hu, Dong Xu

CoRR, 2023

A Calibration Model For Bot-Like Behaviors In Agent-Based Anagram Game Simulation.

Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman

Proceedings of the Winter Simulation Conference, 2023

ICMH-Net: Neural Image Compression Towards both Machine Vision and Human Vision.

Lei Liu, Zhihao Hu, Zhenghao Chen, Dong Xu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Adaptive Priority Reweighing for Generalizing Fairness Improvement.

Zhihao Hu, Yiran Xu, Xinmei Tian

Proceedings of the International Joint Conference on Neural Networks, 2023

PCHM-Net: A New Point Cloud Compression Framework for Both Human Vision and Machine Vision.

Lei Liu, Zhihao Hu, Jing Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Complexity-guided Slimmable Decoder for Efficient Deep Video Compression.

Zhihao Hu, Dong Xu

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

Learning Common Knowledge Networks Via Exponential Random Graph Models.

Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Secure User Authentication Leveraging Keystroke Dynamics via Wi-Fi Sensing.

Yu Gu, Yantong Wang, Meng Wang, Zulie Pan, Zhihao Hu, Zhi Liu, Fan Shi, Mianxiong Dong

IEEE Trans. Ind. Informatics, 2022

A framework for the comparison of agent-based models.

Swapna Thorve, Zhihao Hu, Kiran Lakkaraju, Joshua Letchford, Anil Vullikanti, Achla Marathe, Samarth Swarup

Auton. Agents Multi Agent Syst., 2022

A Bayesian Uncertainty Quantification Approach for Agent-Based Modeling of Networked Anagram Games.

Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman

Proceedings of the Winter Simulation Conference, 2022

Content Adaptive Latents and Decoder for Neural Image Compression.

Guanbo Pan, Guo Lu, Zhihao Hu, Dong Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

Coarse-To-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction.

Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu

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

LSVC: A Learning-based Stereo Video Compression Framework.

Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu

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

Bayesian Approach to Uncertainty Visualization of Heterogeneous Behaviors in Modeling Networked Anagram Games.

Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman

Proceedings of the Complex Networks and Their Applications XI, 2022

2021

An Uncertainty Quantification Approach For Agent-Based Modeling Of Human Behavior In Networked Anagram Games.

Zhihao Hu, Xinwei Deng, Chris J. Kuhlman

Proceedings of the Winter Simulation Conference, 2021

StyleFormer: Real-time Arbitrary Style Transfer via Parametric Style Composition.

Xiaolei Wu, Zhihao Hu, Lu Sheng, Dong Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

FVC: A New Framework Towards Deep Video Compression in Feature Space.

Zhihao Hu, Guo Lu, Dong Xu

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

Versatile Uncertainty Quantification of Contrastive Behaviors for Modeling Networked Anagram Games.

Zhihao Hu, Xinwei Deng, Chris J. Kuhlman

Proceedings of the Complex Networks & Their Applications X - Volume 1, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

2020

Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework.

Vanessa Cedeno-Mieles, Zhihao Hu, Yihui Ren, Xinwei Deng, Abhijin Adiga, Christopher L. Barrett, Noshir Contractor, Saliya Ekanayake, Joshua M. Epstein, Brian J. Goode, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Michael W. Macy, Madhav V. Marathe, Naren Ramakrishnan, S. S. Ravi, Parang Saraf, Nathan Self

Soc. Netw. Anal. Min., 2020

SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure.

Weitao Feng, Zhihao Hu, Baopu Li, Weihao Gan, Wei Wu, Wanli Ouyang

CoRR, 2020

A Unified End-to-End Framework for Efficient Deep Image Compression.

Jiaheng Liu, Guo Lu, Zhihao Hu, Dong Xu

CoRR, 2020

Improving Deep Video Compression by Resolution-Adaptive Flow Coding.

Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu

Proceedings of the Computer Vision - ECCV 2020, 2020

An Active Learning Method for the Comparison of Agent-based Models.

Swapna Thorve, Zhihao Hu, Kiran Lakkaraju, Joshua Letchford, Anil Vullikanti, Achla Marathe, Samarth Swarup

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification.

Weitao Feng, Zhihao Hu, Wei Wu, Junjie Yan, Wanli Ouyang

CoRR, 2019

On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game.

Zhihao Hu, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Yihui Ren, Vanessa Cedeno-Mieles, Saliya Ekanayake, Xinwei Deng, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Abhijin Adiga, Gizem Korkmaz, Chris J. Kuhlman

Proceedings of the 2019 Winter Simulation Conference, 2019

Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games.

Vanessa Cedeno-Mieles, Zhihao Hu, Xinwei Deng, Yihui Ren, Abhijin Adiga, Christopher L. Barrett, Saliya Ekanayake, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, S. S. Ravi, Brian J. Goode, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments.

Vanessa Cedeno-Mieles, Yihui Ren, Saliya Ekanayake, Brian J. Goode, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Henning S. Mortveit, Zhihao Hu, Xinwei Deng, Naren Ramakrishnan, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy

Proceedings of the 2018 Winter Simulation Conference, 2018

Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis.

Yihui Ren, Vanessa Cedeno-Mieles, Zhihao Hu, Xinwei Deng, Abhijin Adiga, Christopher L. Barrett, Saliya Ekanayake, Brian J. Goode, Gizem Korkmaz, Chris J. Kuhlman, Dustin Machi, Madhav V. Marathe, Naren Ramakrishnan, S. S. Ravi, Parang Saraf, Nathan Self, Noshir Contractor, Joshua M. Epstein, Michael W. Macy

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018