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ORCIDYuke Zhang
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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Journal Articles
- 2024
[j10]Liwen Zhang, Yuke Zhang
:
Maximizing the degree powers of graphs with fixed size. Discret. Appl. Math. 343: 15-24 (2024)- [j9]Yuke Zhang, Huiqiu Lin:
The sum of the k largest distance eigenvalues of graphs. Discret. Math. 347(1): 113696 (2024) - [j8]Yang Hong, Peng Rao, Yuxing Zhou, Yuke Zhang:
A Weighted Guided Filtering-Based Multidomain Fusion Destriping Method. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9178-9193 (2024) - 2023
- [j7]Yuke Zhang, Huiqiu Lin:
Graphs with three distinct distance eigenvalues. Appl. Math. Comput. 445: 127848 (2023) - [j6]Yuke Zhang, Xin Chen, Peng Rao, Liangjie Jia:
Dim Moving Multi-Target Enhancement with Strong Robustness for False Enhancement. Remote. Sens. 15(19): 4892 (2023) - [j5]Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo:
On the Security of Sequential Logic Locking Against Oracle-Guided Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3628-3641 (2023) - 2022
- [j4]Liangjie Jia, Peng Rao, Yuke Zhang, Yueqi Su, Xin Chen:
Low-SNR Infrared Point Target Detection and Tracking via Saliency-Guided Double-Stage Particle Filter. Sensors 22(7): 2791 (2022) - 2021
- [j3]Huiqiu Lin, Yuke Zhang:
Extremal problems on distance spectra of graphs. Discret. Appl. Math. 289: 139-147 (2021) - [j2]Yuke Zhang, Huiqiu Lin:
Perfect matching and distance spectral radius in graphs and bipartite graphs. Discret. Appl. Math. 304: 315-322 (2021) - 2020
- [j1]Ching-Yun Ko, Cong Chen, Zhuolun He, Yuke Zhang, Kim Batselier, Ngai Wong:
Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2665-2671 (2020)
Conference and Workshop Papers
- 2024
- [c12]Dake Chen, Shiduo Li, Yuke Zhang, Chenghao Li, Souvik Kundu, Peter A. Beerel:
DIA: Diffusion based Inverse Network Attack on Collaborative Inference. CVPR Workshops 2024: 124-130 - [c11]Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel:
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement. ICASSP 2024: 7230-7234 - 2023
- [c10]Souvik Kundu, Yuke Zhang, Dake Chen, Peter A. Beerel:
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference. CVPR Workshops 2023: 4685-4689 - [c9]Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel:
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference. DAC 2023: 1-6 - [c8]Dake Chen, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter A. Beerel:
RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference. ICCAD 2023: 1-9 - [c7]Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A. Beerel:
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation. ICCV 2023: 5093-5102 - [c6]Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel:
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference. ICLR 2023 - [c5]Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel:
Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP. ISQED 2023: 1-8 - 2022
- [c4]Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A. Beerel:
TriLock: IC Protection with Tunable Corruptibility and Resilience to SAT and Removal Attacks. DATE 2022: 1329-1334 - [c3]Yuke Zhang, Ken Takaki, Hiroaki Murakami, Takuya Sasatani, Yoshihiro Kawahara:
Toward Continuous Finger Positioning on Ear Using Bone Conduction Speaker. SenSys 2022: 847-848 - 2021
- [c2]Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo:
Fun-SAT: Functional Corruptibility-Guided SAT-Based Attack on Sequential Logic Encryption. HOST 2021: 281-291 - 2020
- [c1]Yuke Zhang, Dina El-Damak:
A Reconfigurable Passive Switched-Capacitor Multiply-and-Accumulate Unit for Approximate Computing. MWSCAS 2020: 921-924
Informal and Other Publications
- 2023
- [i8]Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel:
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference. CoRR abs/2301.09254 (2023) - [i7]Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel:
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference. CoRR abs/2304.13266 (2023) - [i6]Souvik Kundu, Yuke Zhang, Dake Chen, Peter A. Beerel:
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference. CoRR abs/2304.13274 (2023) - [i5]Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel:
Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP. CoRR abs/2305.00107 (2023) - [i4]Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel:
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement. CoRR abs/2309.07254 (2023) - 2022
- [i3]Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A. Beerel:
TriLock: IC Protection with Tunable Corruptibility and Resilience to SAT and Removal Attacks. CoRR abs/2201.05943 (2022) - 2021
- [i2]Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo:
Fun-SAT: Functional Corruptibility-Guided SAT-Based Attack on Sequential Logic Encryption. CoRR abs/2108.04892 (2021) - 2018
- [i1]Ching Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong:
Deep Compression of Sum-Product Networks on Tensor Networks. CoRR abs/1811.03963 (2018)
Coauthor Index
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last updated on 2024-12-05 21:37 CET by the dblp team
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