Yuke Zhang

41 papers A* 4A 3Misc 2Journal 27Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
A PN-Free Digital 3-SAT Accelerator Using Crossbar Architecture and Frequency-Controlled Counters.
HPCA
Zhezheng Ren, Chenao Yuan, Yuke Zhang, Shiyu Su
2026 J jnl
Bayesian Online Model Selection.
CoRR
Aida Afshar, Yuke Zhang, Aldo Pacchiano
2025 J jnl
Diverse Inference and Verification for Advanced Reasoning.
CoRR
Iddo Drori, Gaston Longhitano, Mao Mao, Seunghwan Hyun, Yuke Zhang, Sungjun Park, Zachary Meeks, Xin-Yu Zhang, Ben Segev, Howard Yong, Nakul Verma, Avi Shporer, Alon Amit, Madeleine Udell
2025 J jnl
FPAN: Mitigating Replication in Diffusion Models through the Fine-Grained Probabilistic Addition of Noise to Token Embeddings.
CoRR
Jingqi Xu, Chenghao Li, Yuke Zhang, Peter A. Beerel
2025 J jnl
Interpretable Machine Learning for Macro Alpha: A News Sentiment Case Study.
CoRR
Yuke Zhang
2025 J jnl
LF-HGRILF: A law-fact heterogeneous graph representation and iterative learning framework for legal judgment prediction.
Knowl. Based Syst.
Yinying Kong, You-Gan Wang, Haodong Deng, Zhanhao Xiao, Yuke Zhang
2025 J jnl
Rainbow Hamiltonicity and the spectral radius.
Discret. Math.
Yuke Zhang, Edwin R. van Dam
2025 A conf
SA4D-HDR: Segment Anything with Neural Radiance Fields for 4D HDR Scenes.
ECAI
Jie Li, Yuke Zhang, Long Wang, Ruiyun Yu
2025 J jnl
h-extra l-component connectivity of graphs and digraphs with minimum distance spectral radii.
Discret. Math.
Yanling Hu, Huiqiu Lin, Yuke Zhang
2024 J jnl
A Weighted Guided Filtering-Based Multidomain Fusion Destriping Method.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yang Hong, Peng Rao, Yuxing Zhou, Yuke Zhang
2024 — conf
DIA: Diffusion based Inverse Network Attack on Collaborative Inference.
CVPR Workshops
Dake Chen, Shiduo Li, Yuke Zhang, Chenghao Li, Souvik Kundu, Peter A. Beerel
2024 J jnl
LoyalDiffusion: A Diffusion Model Guarding Against Data Replication.
CoRR
Chenghao Li, Yuke Zhang, Dake Chen, Jingqi Xu, Peter A. Beerel
2024 J jnl
Maximizing the degree powers of graphs with fixed size.
Discret. Appl. Math.
Liwen Zhang, Yuke Zhang
2024 Misc conf
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement.
ICASSP
Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel
2024 J jnl
The sum of the
Discret. Math.
Yuke Zhang, Huiqiu Lin
2024 J jnl
TinyML Security: Exploring Vulnerabilities in Resource-Constrained Machine Learning Systems.
CoRR
Jacob Huckelberry, Yuke Zhang, Allison Sansone, James Mickens, Peter A. Beerel, Vijay Janapa Reddi
2023 A* conf
C
DAC
Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel
2023 J jnl
C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference.
CoRR
Yuke Zhang, Dake Chen, Souvik Kundu, Haomei Liu, Ruiheng Peng, Peter A. Beerel
2023 J jnl
Dim Moving Multi-Target Enhancement with Strong Robustness for False Enhancement.
Remote. Sens.
Yuke Zhang, Xin Chen, Peng Rao, Liangjie Jia
2023 J jnl
Graphs with three distinct distance eigenvalues.
Appl. Math. Comput.
Yuke Zhang, Huiqiu Lin
2023 A* conf
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference.
ICLR
Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel
2023 J jnl
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference.
CoRR
Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Tiffany Liu, Peter A. Beerel
2023 — conf
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference.
CVPR Workshops
Souvik Kundu, Yuke Zhang, Dake Chen, Peter A. Beerel
2023 J jnl
Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference.
CoRR
Souvik Kundu, Yuke Zhang, Dake Chen, Peter A. Beerel
2023 J jnl
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement.
CoRR
Chenghao Li, Dake Chen, Yuke Zhang, Peter A. Beerel
2023 J jnl
On the Security of Sequential Logic Locking Against Oracle-Guided Attacks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo
2023 A conf
RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference.
ICCAD
Dake Chen, Yuke Zhang, Souvik Kundu, Chenghao Li, Peter A. Beerel
2023 A* conf
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation.
ICCV
Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A. Beerel
2023 — conf
Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP.
ISQED
Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel
2023 J jnl
Unraveling Latch Locking Using Machine Learning, Boolean Analysis, and ILP.
CoRR
Dake Chen, Xuan Zhou, Yinghua Hu, Yuke Zhang, Kaixin Yang, Andrew Rittenbach, Pierluigi Nuzzo, Peter A. Beerel
2022 J jnl
Low-SNR Infrared Point Target Detection and Tracking via Saliency-Guided Double-Stage Particle Filter.
Sensors
Liangjie Jia, Peng Rao, Yuke Zhang, Yueqi Su, Xin Chen
2022 Misc conf
Toward Continuous Finger Positioning on Ear Using Bone Conduction Speaker.
SenSys
Yuke Zhang, Ken Takaki, Hiroaki Murakami, Takuya Sasatani, Yoshihiro Kawahara
2022 A conf
TriLock: IC Protection with Tunable Corruptibility and Resilience to SAT and Removal Attacks.
DATE
Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A. Beerel
2022 J jnl
TriLock: IC Protection with Tunable Corruptibility and Resilience to SAT and Removal Attacks.
CoRR
Yuke Zhang, Yinghua Hu, Pierluigi Nuzzo, Peter A. Beerel
2021 J jnl
Extremal problems on distance spectra of graphs.
Discret. Appl. Math.
Huiqiu Lin, Yuke Zhang
2021 — conf
Fun-SAT: Functional Corruptibility-Guided SAT-Based Attack on Sequential Logic Encryption.
HOST
Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo
2021 J jnl
Fun-SAT: Functional Corruptibility-Guided SAT-Based Attack on Sequential Logic Encryption.
CoRR
Yinghua Hu, Yuke Zhang, Kaixin Yang, Dake Chen, Peter A. Beerel, Pierluigi Nuzzo
2021 J jnl
Perfect matching and distance spectral radius in graphs and bipartite graphs.
Discret. Appl. Math.
Yuke Zhang, Huiqiu Lin
2020 — conf
A Reconfigurable Passive Switched-Capacitor Multiply-and-Accumulate Unit for Approximate Computing.
MWSCAS
Yuke Zhang, Dina El-Damak
2020 J jnl
Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains.
IEEE Trans. Neural Networks Learn. Syst.
Ching-Yun Ko, Cong Chen, Zhuolun He, Yuke Zhang, Kim Batselier, Ngai Wong
2018 J jnl
Deep Compression of Sum-Product Networks on Tensor Networks.
CoRR
Ching Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong