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Zhihao Hu
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2020 – today
- 2024
- [j8]Zhihao Hu, Xueying Liu, Xinwei Deng, Chris J. Kuhlman:
An uncertainty quantification framework for agent-based modeling and simulation in networked anagram games. J. Simulation 18(4): 505-523 (2024) - [j7]Zhihao Hu, Ben-Zhang Yang, Xin-Jiang He, Jia Yue:
Equilibrium pricing of European crude oil options with stochastic behaviour and jump risks. Math. Comput. Simul. 219: 212-230 (2024) - [j6]Xueyuan Chen, Zhihao Hu, Guo Lu, Jiaheng Liu:
A unified efficient deep image compression framework and its application on human-centric Task. Multim. Tools Appl. 83(29): 73407-73425 (2024) - [c22]Zhenghao Chen, Luping Zhou, Zhihao Hu, Dong Xu:
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression. ACM Multimedia 2024: 11022-11031 - [i12]Zhenghao Chen, Luping Zhou, Zhihao Hu, Dong Xu:
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression. CoRR abs/2405.04274 (2024) - [i11]Lei Liu, Zhihao Hu, Zhenghao Chen:
Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor. CoRR abs/2406.00791 (2024) - 2023
- [j5]Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
Uncertainty Visualization for Characterizing Heterogeneous Human Behaviors in discrete dynamical System Models. Adv. Complex Syst. 26(3): 2340001:1-2340001:35 (2023) - [j4]Zhihao Hu, Dong Xu, Guo Lu, Wei Jiang, Wei Wang, Shan Liu:
FVC: An End-to-End Framework Towards Deep Video Compression in Feature Space. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4569-4585 (2023) - [c21]Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
Learning Common Knowledge Networks Via Exponential Random Graph Models. ASONAM 2023: 213-220 - [c20]Zhihao Hu, Dong Xu:
Complexity-guided Slimmable Decoder for Efficient Deep Video Compression. CVPR 2023: 14358-14367 - [c19]Lei Liu, Zhihao Hu, Jing Zhang:
PCHM-Net: A New Point Cloud Compression Framework for Both Human Vision and Machine Vision. ICME 2023: 1997-2002 - [c18]Zhihao Hu, Yiran Xu, Xinmei Tian:
Adaptive Priority Reweighing for Generalizing Fairness Improvement. IJCNN 2023: 1-8 - [c17]Lei Liu, Zhihao Hu, Zhenghao Chen, Dong Xu:
ICMH-Net: Neural Image Compression Towards both Machine Vision and Human Vision. ACM Multimedia 2023: 8047-8056 - [c16]Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
A Calibration Model For Bot-Like Behaviors In Agent-Based Anagram Game Simulation. WSC 2023: 221-232 - [i10]Zhihao Hu, Dong Xu:
VideoControlNet: A Motion-Guided Video-to-Video Translation Framework by Using Diffusion Model with ControlNet. CoRR abs/2307.14073 (2023) - [i9]Ximing Xing, Chuang Wang, Haitao Zhou, Zhihao Hu, Chongxuan Li, Dong Xu, Qian Yu:
Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training. CoRR abs/2308.07665 (2023) - [i8]Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He:
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing. CoRR abs/2309.08375 (2023) - 2022
- [j3]Swapna Thorve, Zhihao Hu, Kiran Lakkaraju, Joshua Letchford, Anil Vullikanti, Achla Marathe, Samarth Swarup:
A framework for the comparison of agent-based models. Auton. Agents Multi Agent Syst. 36(2): 32 (2022) - [j2]Yu Gu, Yantong Wang, Meng Wang, Zulie Pan, Zhihao Hu, Zhi Liu, Fan Shi, Mianxiong Dong:
Secure User Authentication Leveraging Keystroke Dynamics via Wi-Fi Sensing. IEEE Trans. Ind. Informatics 18(4): 2784-2795 (2022) - [c15]Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
Bayesian Approach to Uncertainty Visualization of Heterogeneous Behaviors in Modeling Networked Anagram Games. COMPLEX NETWORKS (2) 2022: 595-607 - [c14]Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu:
Coarse-To-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction. CVPR 2022: 5911-5920 - [c13]Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu:
LSVC: A Learning-based Stereo Video Compression Framework. CVPR 2022: 6063-6072 - [c12]Guanbo Pan, Guo Lu, Zhihao Hu, Dong Xu:
Content Adaptive Latents and Decoder for Neural Image Compression. ECCV (18) 2022: 556-573 - [c11]Xueying Liu, Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
A Bayesian Uncertainty Quantification Approach for Agent-Based Modeling of Networked Anagram Games. WSC 2022: 310-321 - [i7]Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu:
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction. CoRR abs/2206.07460 (2022) - [i6]Guanbo Pan, Guo Lu, Zhihao Hu, Dong Xu:
Content Adaptive Latents and Decoder for Neural Image Compression. CoRR abs/2212.10132 (2022) - 2021
- [c10]Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
Versatile Uncertainty Quantification of Contrastive Behaviors for Modeling Networked Anagram Games. COMPLEX NETWORKS 2021: 644-656 - [c9]Zhihao Hu, Guo Lu, Dong Xu:
FVC: A New Framework Towards Deep Video Compression in Feature Space. CVPR 2021: 1502-1511 - [c8]Xiaolei Wu, Zhihao Hu, Lu Sheng, Dong Xu:
StyleFormer: Real-time Arbitrary Style Transfer via Parametric Style Composition. ICCV 2021: 14598-14607 - [c7]Zhihao Hu, Xinwei Deng, Chris J. Kuhlman:
An Uncertainty Quantification Approach For Agent-Based Modeling Of Human Behavior In Networked Anagram Games. WSC 2021: 1-12 - [i5]Zhihao Hu, Guo Lu, Dong Xu:
FVC: A New Framework towards Deep Video Compression in Feature Space. CoRR abs/2105.09600 (2021) - 2020
- [j1]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:
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework. Soc. Netw. Anal. Min. 10(1): 11 (2020) - [c6]Swapna Thorve, Zhihao Hu, Kiran Lakkaraju, Joshua Letchford, Anil Vullikanti, Achla Marathe, Samarth Swarup:
An Active Learning Method for the Comparison of Agent-based Models. AAMAS 2020: 1377-1385 - [c5]Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu:
Improving Deep Video Compression by Resolution-Adaptive Flow Coding. ECCV (2) 2020: 193-209 - [i4]Jiaheng Liu, Guo Lu, Zhihao Hu, Dong Xu:
A Unified End-to-End Framework for Efficient Deep Image Compression. CoRR abs/2002.03370 (2020) - [i3]Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu:
Improving Deep Video Compression by Resolution-adaptive Flow Coding. CoRR abs/2009.05982 (2020) - [i2]Weitao Feng, Zhihao Hu, Baopu Li, Weihao Gan, Wei Wu, Wanli Ouyang:
SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure. CoRR abs/2009.10338 (2020)
2010 – 2019
- 2019
- [c4]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:
Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games. ASONAM 2019: 357-364 - [c3]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:
On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game. WSC 2019: 169-180 - [i1]Weitao Feng, Zhihao Hu, Wei Wu, Junjie Yan, Wanli Ouyang:
Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification. CoRR abs/1901.06129 (2019) - 2018
- [c2]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:
Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis. ASONAM 2018: 413-420 - [c1]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:
Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments. WSC 2018: 774-785
Coauthor Index
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last updated on 2024-11-07 20:36 CET by the dblp team
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