Zhongzhu Chen

17 papers A* 5Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decision-making method with large-scale heterogeneous information using the preferred two-dimensional centroid and its application in forestland quality evaluation.
Comput. Appl. Math.
Huizhen Cai, Jian Lin, Zhongzhu Chen, Zeshui Xu
2025 J jnl
Generalized scaling for the constrained maximum-entropy sampling problem.
Math. Program.
Zhongzhu Chen, Marcia Fampa, Jon Lee
2025 J jnl
Risk assessment and dynamic game analysis of sustainable cooperative afforestation.
Appl. Soft Comput.
Zhongzhu Chen, Jian Lin, Huizhen Cai, Zhiteng Chen
2025 A* conf
Robust Representation Consistency Model via Contrastive Denoising.
ICLR
Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Chaowei Xiao, Zhongjie Ba, Kui Ren, Jun Zhu, Anima Anandkumar
2025 J jnl
Robust Representation Consistency Model via Contrastive Denoising.
CoRR
Jiachen Lei, Julius Berner, Jiongxiao Wang, Zhongzhu Chen, Zhongjia Ba, Kui Ren, Jun Zhu, Anima Anandkumar
2024 A* conf
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness.
NeurIPS
Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Jiachen Lei, Bo Li, Chaowei Xiao
2024 J jnl
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness.
CoRR
Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Bo Li, Chaowei Xiao
2024 A* conf
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts.
AAAI
Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu
2024 J jnl
Technical Note - Masking Anstreicher's linx Bound for Improved Entropy Bounds.
Oper. Res.
Zhongzhu Chen, Marcia Fampa, Jon Lee
2023 A* conf
DensePure: Understanding Diffusion Models for Adversarial Robustness.
ICLR
Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
2023 A* conf
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing.
USENIX Security Symposium
Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li
2023 J jnl
DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing.
CoRR
Jiawei Zhang, Zhongzhu Chen, Huan Zhang, Chaowei Xiao, Bo Li
2023 — conf
Generalized Scaling for the Constrained Maximum-Entropy Sampling Problem.
ACDA
Zhongzhu Chen, Marcia Fampa, Jon Lee
2023 J jnl
On Computing with Some Convex Relaxations for the Maximum-Entropy Sampling Problem.
INFORMS J. Comput.
Zhongzhu Chen, Marcia Fampa, Jon Lee
2023 J jnl
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts.
CoRR
Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu
2022 J jnl
DensePure: Understanding Diffusion Models towards Adversarial Robustness.
CoRR
Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song
2021 J jnl
Mixing convex-optimization bounds for maximum-entropy sampling.
Math. Program.
Zhongzhu Chen, Marcia Fampa, Amélie Lambert, Jon Lee