Yuke Zhang

According to our database, Yuke Zhang authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The sum of the <i>k</i> largest distance eigenvalues of graphs.

Yuke Zhang, Huiqiu Lin

Discret. Math., January, 2024

Maximizing the degree powers of graphs with fixed size.

Liwen Zhang, Yuke Zhang

Discret. Appl. Math., January, 2024

2023

On the Security of Sequential Logic Locking Against Oracle-Guided Attacks.

Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

Dim Moving Multi-Target Enhancement with Strong Robustness for False Enhancement.

Yuke Zhang, Xin Chen, Peng Rao, Liangjie Jia

Remote. Sens., October, 2023

Graphs with three distinct distance eigenvalues.

Yuke Zhang, Huiqiu Lin

Appl. Math. Comput., May, 2023

Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement.

Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel

CoRR, 2023

C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference.

Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel

CoRR, 2023

Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP.

Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference.

Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation.

Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A. Beerel

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference.

Dake Chen, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter A. Beerel

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

C²PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference.

Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference.

Souvik Kundu, Yuke Zhang, Dake Chen, Peter A. Beerel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Low-SNR Infrared Point Target Detection and Tracking via Saliency-Guided Double-Stage Particle Filter.

Liangjie Jia, Peng Rao, Yuke Zhang, Yueqi Su, Xin Chen

Sensors, 2022

Toward Continuous Finger Positioning on Ear Using Bone Conduction Speaker.

Yuke Zhang, Ken Takaki, Hiroaki Murakami, Takuya Sasatani, Yoshihiro Kawahara

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

TriLock: IC Protection with Tunable Corruptibility and Resilience to SAT and Removal Attacks.

Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A. Beerel

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Perfect matching and distance spectral radius in graphs and bipartite graphs.

Yuke Zhang, Huiqiu Lin

Discret. Appl. Math., 2021

Extremal problems on distance spectra of graphs.

Huiqiu Lin, Yuke Zhang

Discret. Appl. Math., 2021

Fun-SAT: Functional Corruptibility-Guided SAT-Based Attack on Sequential Logic Encryption.

Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2021

2020

Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains.

Ching-Yun Ko, Cong Chen, Zhuolun He, Yuke Zhang, Kim Batselier, Ngai Wong

IEEE Trans. Neural Networks Learn. Syst., 2020

A Reconfigurable Passive Switched-Capacitor Multiply-and-Accumulate Unit for Approximate Computing.

Yuke Zhang, Dina El-Damak

Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

2018

Deep Compression of Sum-Product Networks on Tensor Networks.

Ching Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong

CoRR, 2018