Approaches to Realize High Precision CMOS Bandgap Reference Based on Neural Network. - Dake Chen; Jiuqiang Han (ICNC (3), 2008)

El Niño prediction and predictability. - Dake Chen; Mark A. Cane (J. Comput. Phys., 2008)

Challenges in Building an Open-Source Flow from RTL to Bundled-Data Design. - Yang Zhang 014; Huimei Cheng; Dake Chen; Huayu Fu; Shikhanshu Agarwal; Mark Lin; Peter A. Beerel (ASYNC, 2018)

Using Satellite Altimetry to Calibrate the Simulation of Typhoon Seth Storm Surge off Southeast China. - Xiaohui Li 011; Guoqi Han; Jingsong Yang; Dake Chen; Gang Zheng 001; Nan Chen (Remote. Sens., 2018)

Regional Dependence of Atmospheric Responses to Oceanic Eddies in the North Pacific Ocean. - Jinlin Ji; Jing Ma; Changming Dong; John C. H. Chiang; Dake Chen (Remote. Sens., 2020)

GF-Flush: A GF(2) Algebraic Attack on Dynamically Secured Scan Chains. - Dake Chen; Chunxiao Lin; Peter A. Beerel (DFT, 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 002 (HOST, 2021)

A Clock Synchronization Ramp Sloping Active Clamped PWM Circuit. - Dake Chen (ICICT, 2021)

GF-Flush: A GF(2) Algebraic Attack on Secure Scan Chains. - Dake Chen; Chunxiao Lin; Peter A. Beerel (CoRR, 2021)

Exploiting the Potential of Coastal GNSS-R for Improving Storm Surge Modeling. - Xiaohui Li 011; Dongkai Yang; Guoqi Han; Lei Yang 034; Jiuke Wang; Jingsong Yang; Dake Chen; Gang Zheng 001 (IEEE Geosci. Remote. Sens. Lett., 2021)

Making Models Shallow Again: Jointly Learning to Reduce Non-Linearity and Depth for Latency-Efficient Private Inference. - Souvik Kundu 002; Yuke Zhang; Dake Chen; Peter A. Beerel (CVPR Workshops, 2023)

C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference. - Yuke Zhang; Dake Chen; Souvik Kundu 002; Haomei Liu; Ruiheng Peng; Peter A. Beerel (DAC, 2023)

Island-based Random Dynamic Voltage Scaling vs ML-Enhanced Power Side-Channel Attacks. - Dake Chen; Christine Goins; Maxwell Waugaman; Georgios D. Dimou; Peter A. Beerel (ACM Great Lakes Symposium on VLSI, 2023)

RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference. - Dake Chen; Yuke Zhang; Souvik Kundu 002; Chenghao Li; Peter A. Beerel (ICCAD, 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 002; Chenghao Li; Peter A. Beerel (ICCV, 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 002; Peter A. Beerel (ISQED, 2023)

C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private Inference. - Yuke Zhang; Dake Chen; Souvik Kundu 002; Haomei Liu; Ruiheng Peng; Peter A. Beerel (CoRR, 2023)

GameGPT: Multi-agent Collaborative Framework for Game Development. - Dake Chen; Hanbin Wang; Yunhao Huo; Yuzhao Li; Haoyang Zhang (CoRR, 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 002 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

DIA: Diffusion based Inverse Network Attack on Collaborative Inference. - Dake Chen; Shiduo Li; Yuke Zhang; Chenghao Li; Souvik Kundu 002; Peter A. Beerel (CVPR Workshops, 2024)

Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement. - Chenghao Li; Dake Chen; Yuke Zhang; Peter A. Beerel (ICASSP, 2024)

What Makes Vision Transformers Robust Towards Bit-Flip Attack? - Xuan Zhou; Souvik Kundu 002; Dake Chen; Jie Huang; Peter A. Beerel (ICPR (8), 2024)

Quantitative causality, causality-guided scientific discovery, and causal machine learning. - X. San Liang; Dake Chen; Renhe Zhang (CoRR, 2024)

LoyalDiffusion: A Diffusion Model Guarding Against Data Replication. - Chenghao Li; Yuke Zhang; Dake Chen; Jingqi Xu; Peter A. Beerel (CoRR, 2024)