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2020 – today
- 2024
[j8]WoongHee Jung, Alexandros A. Taflanidis
, Aikaterini P. Kyprioti, Jize Zhang:
Adaptive multi-fidelity Monte Carlo for real-time probabilistic storm surge predictions. Reliab. Eng. Syst. Saf. 247: 109994 (2024)- [j7]Wenjun Jiang, Xi Zhong, Jize Zhang:
TC-Diffusion: A diffusion-based probabilistic tropical cyclone model with application to typhoon wind hazard assessment. Reliab. Eng. Syst. Saf. 251: 110350 (2024) - [j6]Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo:
Invertible network for unpaired low-light image enhancement. Vis. Comput. 40(1): 109-120 (2024) - [i13]Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu:
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model. CoRR abs/2402.19150 (2024) - [i12]Yuchen Xia, Jize Zhang, Nasser Jazdi, Michael Weyrich:
Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility. CoRR abs/2407.08550 (2024) - 2023
- [c7]Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu, Renjing Xu:
RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias. BMVC 2023: 296 - [i11]Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang, Kaidi Xu, Renjing Xu:
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias. CoRR abs/2309.13245 (2023) - [i10]Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu:
Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. CoRR abs/2309.13302 (2023) - [i9]Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu:
Pursing the Sparse Limitation of Spiking Deep Learning Structures. CoRR abs/2311.12060 (2023) - 2021
- [j5]Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Jize Zhang, Yi Zhou, Yingbin Liang, Thomas Yong-Jin Han, Pramod K. Varshney:
MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data. SIAM J. Math. Data Sci. 3(4): 1197-1222 (2021) - [c6]James Diffenderfer, Brian R. Bartoldson, Shreya Chaganti, Jize Zhang, Bhavya Kailkhura:
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness. NeurIPS 2021: 664-676 - [i8]Hewei Tang, Pengcheng Fu, Christopher S. Sherman, Jize Zhang, Xin Ju, François P. Hamon, Nicholas A. Azzolina, Matthew Burton-Kelly, Joseph P. Morris:
A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage. CoRR abs/2105.09468 (2021) - [i7]James Diffenderfer, Brian R. Bartoldson, Shreya Chaganti, Jize Zhang, Bhavya Kailkhura:
A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness. CoRR abs/2106.09129 (2021) - [i6]Ehsan Adeli, Jize Zhang, Alexandros A. Taflanidis:
Convolutional generative adversarial imputation networks for spatio-temporal missing data in storm surge simulations. CoRR abs/2111.02823 (2021) - [i5]Jize Zhang, Haolin Wang, Xiaohe Wu, Wangmeng Zuo:
Invertible Network for Unpaired Low-light Image Enhancement. CoRR abs/2112.13107 (2021) - 2020
- [j4]Jize Zhang, Tim Leung, Aleksandr Y. Aravkin:
Sparse mean-reverting portfolios via penalized likelihood optimization. Autom. 111 (2020) - [j3]Jize Zhang, Andrew M. Pace, Samuel A. Burden, Aleksandr Y. Aravkin:
Offline state estimation for hybrid systems via nonsmooth variable projection. Autom. 115: 108871 (2020) - [j2]Jize Zhang, Alexandros A. Taflanidis, Jeffrey T. Scruggs:
Surrogate modeling of hydrodynamic forces between multiple floating bodies through a hierarchical interaction decomposition. J. Comput. Phys. 408: 109298 (2020) - [c5]Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han:
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning. ICML 2020: 11117-11128 - [c4]Bhavya Kailkhura, Jayaraman J. Thiagarajan, Qunwei Li, Jize Zhang, Yi Zhou, Timo Bremer:
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning. NeurIPS 2020 - [i4]Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han:
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning. CoRR abs/2003.07329 (2020) - [i3]Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, Thomas Yong-Jin Han:
Actionable Attribution Maps for Scientific Machine Learning. CoRR abs/2006.16533 (2020) - [i2]Shusen Liu, Bhavya Kailkhura, Jize Zhang, Anna M. Hiszpanski, Emily Robertson, Donald Loveland, Thomas Yong-Jin Han:
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design. CoRR abs/2007.08631 (2020) - [i1]Jize Zhang, Bhavya Kailkhura, Thomas Yong-Jin Han:
Leveraging Uncertainty from Deep Learning for Trustworthy Materials Discovery Workflows. CoRR abs/2012.01478 (2020)
2010 – 2019
- 2019
- [c3]Jize Zhang, Tim Leung, Aleksandr Y. Aravkin:
A Relaxed Optimization Approach for Cardinality-Constrained Portfolios. ECC 2019: 2885-2892 - 2018
- [c2]Jize Zhang, Tim Leung, Aleksandr Y. Aravkin:
Mean Reverting Portfolios via Penalized OU-Likelihood Estimation. CDC 2018: 5795-5800 - 2016
- [j1]Daphne Gold, James M. Henle, Cherry Huang, Tia Lyve, Tara Marin, Jasmine Osorio, Mäneka Puligandla, Bayla Weick, Jing Xia, He Yun, Jize Zhang:
Puzzling and apuzzling graphs. AKCE Int. J. Graphs Comb. 13(1): 1-10 (2016) - 2015
- [c1]Jize Zhang, Dong Wang:
Duplicate Report Detection in Urban Crowdsensing Applications for Smart City. SmartCity 2015: 101-107
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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