Yihua Zhang

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 54

Top Topics

Linearly Constrained

Diffusion Models

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation. ICLR (2024)
Yihua Zhang, Pingzhi Li, Junyuan Hong, Jiaxiang Li, Yimeng Zhang, Wenqing Zheng, Pin-Yu Chen, Jason D. Lee, Wotao Yin, Mingyi Hong, Zhangyang Wang, Sijia Liu, Tianlong Chen
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark. CoRR (2024)
Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training. ICLR (2024)
Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Xiaoming Liu, Sijia Liu
UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models. CoRR (2024)
Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models. CoRR (2024)
Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning. CoRR (2024)
Mohammad Jafari, Yimeng Zhang, Yihua Zhang, Sijia Liu
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection. CoRR (2024)
Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu
An Introduction to Bilevel Optimization: Foundations and applications in signal processing and machine learning. IEEE Signal Process. Mag. 41 (1) (2024)
Hongkang Li, Shuai Zhang, Yihua Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance. CoRR (2024)
Mohammad Jafari, Yimeng Zhang, Yihua Zhang, Sijia Liu
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection. ICASSP (2024)
Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu
What Is Missing in IRM Training and Evaluation? Challenges and Solutions. ICLR (2023)
Yihua Zhang, Pranay Sharma, Parikshit Ram, Mingyi Hong, Kush R. Varshney, Sijia Liu
What Is Missing in IRM Training and Evaluation? Challenges and Solutions. CoRR (2023)
Jinghan Jia, Yihua Zhang, Dogyoon Song, Sijia Liu, Alfred O. Hero III
Robustness-Preserving Lifelong Learning Via Dataset Condensation. ICASSP (2023)
Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. ICLR (2023)
Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now. CoRR (2023)
Jinghan Jia, Yihua Zhang, Dogyoon Song, Sijia Liu, Alfred O. Hero III
Robustness-preserving Lifelong Learning via Dataset Condensation. CoRR (2023)
Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
Robust Mixture-of-Expert Training for Convolutional Neural Networks. ICCV (2023)
Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training. CoRR (2023)
Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning. CoRR (2023)
Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu
Robust Mixture-of-Expert Training for Convolutional Neural Networks. CoRR (2023)
Yihua Zhang, Yimeng Zhang, Aochuan Chen, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Mingyi Hong, Shiyu Chang, Sijia Liu
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning. NeurIPS (2023)
Haomin Zhuang, Yihua Zhang, Sijia Liu
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion. CVPR Workshops (2023)
Chongyu Fan, Jiancheng Liu, Yihua Zhang, Dennis Wei, Eric Wong, Sijia Liu
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation. CoRR (2023)
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CVPR (2023)
Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu, Shiwei Liu, Tianlong Chen
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective. CoRR (2023)
Haomin Zhuang, Yihua Zhang, Sijia Liu
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion. CoRR (2023)
Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning. CoRR (2023)
Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach. ICML (2023)
Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization. CoRR (2022)
Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang
Fairness Reprogramming. NeurIPS (2022)
Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
Advancing Model Pruning via Bi-level Optimization. CoRR (2022)
Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CoRR (2022)
Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang
Fairness Reprogramming. CoRR (2022)
Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CoRR (2022)
Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CVPR (2022)
Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. ICML (2022)
Yihua Zhang, Christian Stöhr, Susanne Strömberg Jämsvi, Jens Kabo
Considering the Community of Inquiry Framework in Online Engineering Education. FIE (2022)
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale. CoRR (2022)
Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu
Advancing Model Pruning via Bi-level Optimization. NeurIPS (2022)
Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
Distributed adversarial training to robustify deep neural networks at scale. UAI (2022)
Yihua Zhang, Guanhua Zhang, Prashant Khanduri, Mingyi Hong, Shiyu Chang, Sijia Liu
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization. CoRR (2021)
Xiangwen Liu, Yihua Zhang, Chuangji Zhou, Dan Li, Xiaoyan Gui, Li Geng
A 16Gb/s Triple-Mode Driver in 0.18μm CMOS Technology. ICTA (2020)
Chao Yin, Mingyu Zhang, Yihua Zhang, Wenbing Wu
Business service network node optimization and resource integration based on the construction of logistics information systems. Inf. Syst. E Bus. Manag. 18 (4) (2020)
Wan Li, Yihua Zhang, Yuehan He, Yahui Wang, Shanshan Guo, Xilei Zhao, Yuyan Feng, Zhaona Song, Yuqing Zou, Weiming He, Lina Chen
Candidate gene prioritization for non-communicable diseases based on functional information: Case studies. J. Biomed. Informatics 93 (2019)
Xiao Fu, Zhijian Wang, Yunfeng Chen, Yihua Zhang, Hao Wu
Bead Strand Model: a high-efficiency storage structure for self-destructing data in cloud environment. Serv. Oriented Comput. Appl. 13 (2) (2019)
Yihua Zhang, Zhuoqi Guo, Yang Xie, Dan Li, Shiquan Fan, Xiaoyan Gui, Li Geng
A Stacked 4×25 Gb/s Optical Receiver in 28 nm CMOS with 0.154 mW/Gb/s Power Efficiency. ISCAS (2019)
Dan Li, Ming Liu, Shengwei Gao, Yongjun Shi, Yihua Zhang, Zhiyong Li, Patrick Yin Chiang, Franco Maloberti, Li Geng
Low-Noise Broadband CMOS TIA Based on Multi-Stage Stagger-Tuned Amplifier for High-Speed High-Sensitivity Optical Communication. IEEE Trans. Circuits Syst. I Regul. Pap. (10) (2019)
Yang Xie, Dan Li, Yiqun Liu, Ming Liu, Yihua Zhang, Xiaoli Wang, Li Geng
Low-Noise High-Linearity 56Gb/s PAM-4 Optical Receiver in 45nm SOI CMOS. ISCAS (2018)
Jun Chen, Yihua Zhang, Yuan Wang, Ruoli Ma
Research on Interaction Modeling of Cross-border E-commerce and Import and Export Trade. ICSEB (2018)
Yihua Zhang, Marina Blanton, Ghada Almashaqbeh
Implementing Support for Pointers to Private Data in a General-Purpose Secure Multi-Party Compiler. ACM Trans. Priv. Secur. 21 (2) (2018)
Yihua Zhang, Marina Blanton, Fattaneh Bayatbabolghani
Enforcing Input Correctness via Certification in Garbled Circuit Evaluation. IACR Cryptol. ePrint Arch. 2017 (2017)
Yihua Zhang, Marina Blanton, Fattaneh Bayatbabolghani
Enforcing Input Correctness via Certification in Garbled Circuit Evaluation. ESORICS (2) (2017)
Yihua Zhang, Marina Blanton
Efficient Dynamic Provable Possession of Remote Data via Update Trees. ACM Trans. Storage 12 (2) (2016)
Rui Xing, Ning Dai, Yicheng Zhong, Yihua Zhang, Yi Liu
A modeling method of customized brackets and individualized trays for orthodontic treatment. CISP-BMEI (2016)
Yihua Zhang, Marina Blanton, Ghada Almashaqbeh
Implementing Support for Pointers to Private Data in a General-Purpose Secure Multi-Party Compiler. CoRR (2015)
Yihua Zhang, Marina Blanton, Ghada Almashaqbeh
Secure distributed genome analysis for GWAS and sequence comparison computation. BMC Medical Informatics Decis. Mak. (5) (2015)
Shengping Zhang, Jiani Tan, Zhonghui Lai, Ying Li, Junxia Pang, Jianhu Xiao, Zhangjian Huang, Yihua Zhang, Hui Ji, Yisheng Lai
Effective Virtual Screening Strategy toward Covalent Ligands: Identification of Novel NEDD8-Activating Enzyme Inhibitors. J. Chem. Inf. Model. 54 (6) (2014)
Yihua Zhang, Marina Blanton
Efficient Secure and Verifiable Outsourcing of Matrix Multiplications. ISC (2014)
Yihua Zhang, Marina Blanton
Efficient Secure and Verifiable Outsourcing of Matrix Multiplications. IACR Cryptol. ePrint Arch. 2014 (2014)
Liang Gao, Dongming Li, Yihua Zhang
Research of Weeds Classification System Based on Shape Feature. J. Softw. 8 (7) (2013)
Yihua Zhang, Aaron Steele, Marina Blanton
PICCO: a general-purpose compiler for private distributed computation. CCS (2013)
Marina Blanton, Yihua Zhang, Keith B. Frikken
Secure and verifiable outsourcing of large-scale biometric computations. ACM Trans. Inf. Syst. Secur. 16 (3) (2013)
Mehrdad Aliasgari, Marina Blanton, Yihua Zhang, Aaron Steele
Secure Computation on Floating Point Numbers. NDSS (2013)
Yihua Zhang, Marina Blanton
Efficient dynamic provable possession of remote data via balanced update trees. AsiaCCS (2013)
Mehrdad Aliasgari, Marina Blanton, Yihua Zhang, Aaron Steele
Secure Computation on Floating Point Numbers. IACR Cryptol. ePrint Arch. 2012 (2012)
Yihua Zhang, Marina Blanton
Efficient Dynamic Provable Possession of Remote Data via Update Trees. IACR Cryptol. ePrint Arch. 2012 (2012)
Yihua Zhang, Jia Peng, Di Huang, Fang Li
Design of Automatic Mapping System between DDC and CLC. ICADL (2011)
Marina Blanton, Yihua Zhang, Keith B. Frikken
Secure and Verifiable Outsourcing of Large-Scale Biometric Computations. SocialCom/PASSAT (2011)
Keith B. Frikken, Yihua Zhang
Sum Aggregation in Sensor Networks While Preserving Confidentiality and Integrity. ICETE (Selected Papers) (2010)
Keith B. Frikken, Yihua Zhang
Confidentiality and Integrity for SUM Aggregation in Sensor Networks. SECRYPT (2010)
Keith B. Frikken, Yihua Zhang
Yet another privacy metric for publishing micro-data. WPES (2008)
Fan Mo, Yihua Zhang, Jun Yu, Qianling Zhang
An algorithm for VLSI implementation of highly efficient cubic-polynomial evaluation. ASP-DAC (2000)