Yuke Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Diffusion Model

Propositional Satisfiability

Selective Attention

Top Venues

Discret. Appl. Math.

Publications

Liwen Zhang, Yuke Zhang
Maximizing the degree powers of graphs with fixed size. Discret. Appl. Math. 343 (2024)
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 (2024)
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)
Yuke Zhang, Huiqiu Lin
largest distance eigenvalues of graphs. Discret. Math. 347 (1) (2024)
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)
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)
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 (2023)
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 (2023)
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)
Yuke Zhang, Huiqiu Lin
Graphs with three distinct distance eigenvalues. Appl. Math. Comput. 445 (2023)
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 (2023)
Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel
PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference. DAC (2023)
Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement. CoRR (2023)
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) (2023)
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)
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)
Yuke Zhang, Xin Chen, Peng Rao, Liangjie Jia
Dim Moving Multi-Target Enhancement with Strong Robustness for False Enhancement. Remote. Sens. 15 (19) (2023)
Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Liu, Peter A. Beerel
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference. CoRR (2023)
Yuke Zhang, Ken Takaki, Hiroaki Murakami, Takuya Sasatani, Yoshihiro Kawahara
Toward Continuous Finger Positioning on Ear Using Bone Conduction Speaker. SenSys (2022)
Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A. Beerel
TriLock: IC Protection with Tunable Corruptibility and Resilience to SAT and Removal Attacks. CoRR (2022)
Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A. Beerel
TriLock: IC Protection with Tunable Corruptibility and Resilience to SAT and Removal Attacks. DATE (2022)
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) (2022)
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 (2021)
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)
Yuke Zhang, Huiqiu Lin
Perfect matching and distance spectral radius in graphs and bipartite graphs. Discret. Appl. Math. 304 (2021)
Huiqiu Lin, Yuke Zhang
Extremal problems on distance spectra of graphs. Discret. Appl. Math. 289 (2021)
Yuke Zhang, Dina El-Damak
A Reconfigurable Passive Switched-Capacitor Multiply-and-Accumulate Unit for Approximate Computing. MWSCAS (2020)
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) (2020)
Ching Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong
Deep Compression of Sum-Product Networks on Tensor Networks. CoRR (2018)