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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j10]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): 38-59 (2024)- [c35]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. ECCV (57) 2024: 385-403 - [c34]Mohammad Jafari, Yimeng Zhang, Yihua Zhang, Sijia Liu:
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection. ICASSP 2024: 7100-7104 - [c33]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 - [c32]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 - [c31]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. ICML 2024 - [i29]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 abs/2402.11592 (2024) - [i28]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 abs/2402.11846 (2024) - [i27]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 abs/2403.07310 (2024) - [i26]Mohammad Jafari, Yimeng Zhang, Yihua Zhang, Sijia Liu:
The Power of Few: Accelerating and Enhancing Data Reweighting with Coreset Selection. CoRR abs/2403.12166 (2024) - [i25]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 abs/2404.18239 (2024) - [i24]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 abs/2405.15234 (2024) - [i23]Yize Li, Yihua Zhang, Sijia Liu, Xue Lin:
Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models. CoRR abs/2409.19128 (2024) - 2023
- [c30]Haomin Zhuang, Yihua Zhang, Sijia Liu:
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion. CVPR Workshops 2023: 2385-2392 - [c29]Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu:
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CVPR 2023: 19133-19143 - [c28]Jinghan Jia, Yihua Zhang, Dogyoon Song, Sijia Liu, Alfred O. Hero III:
Robustness-Preserving Lifelong Learning Via Dataset Condensation. ICASSP 2023: 1-5 - [c27]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: 90-101 - [c26]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 - [c25]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 - [c24]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: 16291-16325 - [c23]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 - [i22]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 abs/2303.02343 (2023) - [i21]Jinghan Jia, Yihua Zhang, Dogyoon Song, Sijia Liu, Alfred O. Hero III:
Robustness-preserving Lifelong Learning via Dataset Condensation. CoRR abs/2303.04183 (2023) - [i20]Haomin Zhuang, Yihua Zhang, Sijia Liu:
A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion. CoRR abs/2303.16378 (2023) - [i19]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 abs/2308.00788 (2023) - [i18]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 abs/2308.10110 (2023) - [i17]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 abs/2310.02025 (2023) - [i16]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 abs/2310.08782 (2023) - [i15]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 abs/2310.11868 (2023) - [i14]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 abs/2310.12508 (2023) - [i13]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 abs/2312.01397 (2023) - 2022
- [c22]Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang:
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CVPR 2022: 588-599 - [c21]Yihua Zhang, Christian Stöhr, Susanne Strömberg Jämsvi, Jens Kabo:
Considering the Community of Inquiry Framework in Online Engineering Education. FIE 2022: 1-9 - [c20]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: 26693-26712 - [c19]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 - [c18]Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang:
Fairness Reprogramming. NeurIPS 2022 - [c17]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: 2353-2363 - [i12]Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang:
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. CoRR abs/2205.11819 (2022) - [i11]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 abs/2206.06257 (2022) - [i10]Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang:
Fairness Reprogramming. CoRR abs/2209.10222 (2022) - [i9]Yihua Zhang, Yuguang Yao, Parikshit Ram, Pu Zhao, Tianlong Chen, Mingyi Hong, Yanzhi Wang, Sijia Liu:
Advancing Model Pruning via Bi-level Optimization. CoRR abs/2210.04092 (2022) - [i8]Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, Sijia Liu:
Understanding and Improving Visual Prompting: A Label-Mapping Perspective. CoRR abs/2211.11635 (2022) - [i7]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 abs/2212.09254 (2022) - 2021
- [i6]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 abs/2112.12376 (2021) - 2020
- [c16]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: 96-97
2010 – 2019
- 2019
- [j9]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) - [j8]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): 95-103 (2019) - [j7]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. 66-I(10): 3676-3689 (2019) - [c15]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: 1-4 - 2018
- [j6]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): 6:1-6:34 (2018) - [c14]Jun Chen, Yihua Zhang, Yuan Wang, Ruoli Ma:
Research on Interaction Modeling of Cross-border E-commerce and Import and Export Trade. ICSEB 2018: 15-19 - [c13]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: 1-4 - 2017
- [c12]Yihua Zhang, Marina Blanton, Fattaneh Bayatbabolghani:
Enforcing Input Correctness via Certification in Garbled Circuit Evaluation. ESORICS (2) 2017: 552-569 - [i5]Yihua Zhang, Marina Blanton, Fattaneh Bayatbabolghani:
Enforcing Input Correctness via Certification in Garbled Circuit Evaluation. IACR Cryptol. ePrint Arch. 2017: 569 (2017) - 2016
- [j5]Yihua Zhang, Marina Blanton:
Efficient Dynamic Provable Possession of Remote Data via Update Trees. ACM Trans. Storage 12(2): 9:1-9:45 (2016) - [c11]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: 1562-1566 - 2015
- [j4]Yihua Zhang, Marina Blanton, Ghada Almashaqbeh:
Secure distributed genome analysis for GWAS and sequence comparison computation. BMC Medical Informatics Decis. Mak. 15-S(5): S4 (2015) - [i4]Yihua Zhang, Marina Blanton, Ghada Almashaqbeh:
Implementing Support for Pointers to Private Data in a General-Purpose Secure Multi-Party Compiler. CoRR abs/1509.01763 (2015) - 2014
- [j3]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): 1785-1797 (2014) - [c10]Yihua Zhang, Marina Blanton:
Efficient Secure and Verifiable Outsourcing of Matrix Multiplications. ISC 2014: 158-178 - [i3]Yihua Zhang, Marina Blanton:
Efficient Secure and Verifiable Outsourcing of Matrix Multiplications. IACR Cryptol. ePrint Arch. 2014: 133 (2014) - 2013
- [j2]Liang Gao, Dongming Li, Yihua Zhang:
Research of Weeds Classification System Based on Shape Feature. J. Softw. 8(7): 1736-1742 (2013) - [j1]Marina Blanton, Yihua Zhang, Keith B. Frikken:
Secure and verifiable outsourcing of large-scale biometric computations. ACM Trans. Inf. Syst. Secur. 16(3): 11 (2013) - [c9]Yihua Zhang, Marina Blanton:
Efficient dynamic provable possession of remote data via balanced update trees. AsiaCCS 2013: 183-194 - [c8]Yihua Zhang, Aaron Steele, Marina Blanton:
PICCO: a general-purpose compiler for private distributed computation. CCS 2013: 813-826 - [c7]Mehrdad Aliasgari, Marina Blanton, Yihua Zhang, Aaron Steele:
Secure Computation on Floating Point Numbers. NDSS 2013 - 2012
- [i2]Yihua Zhang, Marina Blanton:
Efficient Dynamic Provable Possession of Remote Data via Update Trees. IACR Cryptol. ePrint Arch. 2012: 291 (2012) - [i1]Mehrdad Aliasgari, Marina Blanton, Yihua Zhang, Aaron Steele:
Secure Computation on Floating Point Numbers. IACR Cryptol. ePrint Arch. 2012: 405 (2012) - 2011
- [c6]Yihua Zhang, Jia Peng, Di Huang, Fang Li:
Design of Automatic Mapping System between DDC and CLC. ICADL 2011: 357-366 - [c5]Marina Blanton, Yihua Zhang, Keith B. Frikken:
Secure and Verifiable Outsourcing of Large-Scale Biometric Computations. SocialCom/PASSAT 2011: 1185-1191 - 2010
- [c4]Keith B. Frikken, Yihua Zhang:
Sum Aggregation in Sensor Networks While Preserving Confidentiality and Integrity. ICETE (Selected Papers) 2010: 172-187 - [c3]Keith B. Frikken, Yihua Zhang:
Confidentiality and Integrity for SUM Aggregation in Sensor Networks. SECRYPT 2010: 231-240
2000 – 2009
- 2008
- [c2]Keith B. Frikken, Yihua Zhang:
Yet another privacy metric for publishing micro-data. WPES 2008: 117-122 - 2000
- [c1]Fan Mo, Yihua Zhang, Jun Yu, Qianling Zhang:
An algorithm for VLSI implementation of highly efficient cubic-polynomial evaluation. ASP-DAC 2000: 13-14
Coauthor Index
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last updated on 2024-10-18 20:30 CEST by the dblp team
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