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Zhongzhu Chen
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2020 – today
- 2024
- [j3]Zhongzhu Chen
, Marcia Fampa
, Jon Lee
:
Technical Note - Masking Anstreicher's linx Bound for Improved Entropy Bounds. Oper. Res. 72(2): 591-603 (2024) - [c4]Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu:
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. AAAI 2024: 12938-12946 - [i4]Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Bo Li, Chaowei Xiao:
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness. CoRR abs/2407.00623 (2024) - 2023
- [j2]Zhongzhu Chen
, Marcia Fampa, Jon Lee
:
On Computing with Some Convex Relaxations for the Maximum-Entropy Sampling Problem. INFORMS J. Comput. 35(2): 368-385 (2023) - [c3]Zhongzhu Chen, Marcia Fampa, Jon Lee:
Generalized Scaling for the Constrained Maximum-Entropy Sampling Problem. ACDA 2023: 110-118 - [c2]Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song:
DensePure: Understanding Diffusion Models for Adversarial Robustness. ICLR 2023 - [c1]Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li:
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing. USENIX Security Symposium 2023: 4787-4804 - [i3]Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu:
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts. CoRR abs/2305.05090 (2023) - [i2]Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li:
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing. CoRR abs/2308.14333 (2023) - 2022
- [i1]Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song:
DensePure: Understanding Diffusion Models towards Adversarial Robustness. CoRR abs/2211.00322 (2022) - 2021
- [j1]Zhongzhu Chen, Marcia Fampa, Amélie Lambert, Jon Lee
:
Mixing convex-optimization bounds for maximum-entropy sampling. Math. Program. 188(2): 539-568 (2021)
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