Rethinking the Potential of Layer Freezing for DNN Training Efficiency

Chence Yang, N Cheng, C Zhang, L Lu, Q Tan, S Li, A Li, X Tang, S Huang, ...

Proceedings of the Great Lakes Symposium on VLSI, 2026, 772–778

Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion Models

C Zhang, Z Ding, Chence Yang, J Liu, X Zhai, S Huang, B Li, X Ma, J Lu, G Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

Perturbation-efficient zeroth-order optimization for hardware-friendly on-device training

Q Tan, SE Chang, R Xia, H Ji, Chence Yang, C Zhang, J Liu, Z Zhan, Z Fang, ...

IEEE/ACM International Conference On Computer Aided Design, 2025

Towards memory-efficient and sustainable machine unlearning on edge using zeroth-order optimizer

C Zhang, Chence Yang, Q Tan, J Liu, A Li, Y Wang, J Lu, J Wang, G Yuan

Proceedings of the Great Lakes Symposium on VLSI, 2025, 227–232

A CMOS Compatible Energy Efficient 6T NV-SRAM Based Accelerator Employing Binary Neural Networks in 22 nm FDSOI Technology

UH Irin, MM Azmir, MR Sarkar, Chence Yang, G Yuan, Y Yi, J Wang

IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2025

A measurement method considering both phase noise and full frequency stability

W Zhou, M Miao, H Liu, Chence Yang, B Qu

Sensors & Transducers, 254(7), 22–30, 2021