Grace Li Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 69

Top Topics

Efficient Inference

Associative Search

Content Addressable

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Tarik Ibrahimpasic, Grace Li Zhang, Michaela Brunner, Georg Sigl, Bing Li, Ulf Schlichtmann
ScanCamouflage: Obfuscating Scan Chains with Camouflaged Sequential and Logic Gates. DATE (2024)
Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
LiveMind: Low-latency Large Language Models with Simultaneous Inference. CoRR (2024)
Kangwei Xu, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models. CoRR (2024)
Kangwei Xu, Grace Li Zhang, Ulf Schlichtmann, Bing Li
Logic Design of Neural Networks for High-Throughput and Low-Power Applications. ASPDAC (2024)
Jingcun Wang, Bing Li, Grace Li Zhang
Early-Exit with Class Exclusion for Efficient Inference of Neural Networks. AICAS (2024)
Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Ulf Schlichtmann, Bing Li
BasisN: Reprogramming-Free RRAM-Based In-Memory-Computing by Basis Combination for Deep Neural Networks. CoRR (2024)
Mengnan Jiang, Jingcun Wang, Amro Eldebiky, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Grace Li Zhang
Class-Aware Pruning for Efficient Neural Networks. DATE (2024)
Bowen Zhang, Huaxi Gu, Grace Li Zhang, Yintang Yang, Ziteng Ma, Ulf Schlichtmann
A 3D Hybrid Optical-Electrical NoC Using Novel Mapping Strategy Based DCNN Dataflow Acceleration. IEEE Trans. Parallel Distributed Syst. 35 (7) (2024)
Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation. DATE (2024)
Bo Liu, Grace Li Zhang, Xunzhao Yin, Ulf Schlichtmann, Bing Li
EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration. CoRR (2024)
Amro Eldebiky, Grace Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann
CorrectNet+: Dealing With HW Non-Idealities in In-Memory-Computing Platforms by Error Suppression and Compensation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (2) (2024)
Ruidi Qiu, Grace Li Zhang, Rolf Drechsler, Ulf Schlichtmann, Bing Li
AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for HDL Design. CoRR (2024)
Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks. DATE (2024)
Wenhao Sun, Bing Li, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann
Classification-Based Automatic HDL Code Generation Using LLMs. CoRR (2024)
Qingrong Huang, Hamza Errahmouni Barkam, Zeyu Yang, Jianyi Yang, Thomas Kämpfe, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Mohsen Imani, Cheng Zhuo, Xunzhao Yin
A FeFET-based Time-Domain Associative Memory for Multi-bit Similarity Computation. DATE (2024)
Xunzhao Yin, Yu Qian, Mohsen Imani, Kai Ni, Chao Li, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo
Ferroelectric Ternary Content Addressable Memories for Energy-Efficient Associative Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (4) (2023)
Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, Bing Li
PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration. DAC (2023)
Amro Eldebiky, Grace Li Zhang, Bing Li
Countering Uncertainties in In-Memory-Computing Platforms with Statistical Training, Accuracy Compensation and Recursive Test. DATE (2023)
Kangwei Xu, Grace Li Zhang, Ulf Schlichtmann, Bing Li
Logic Design of Neural Networks for High-Throughput and Low-Power Applications. CoRR (2023)
Amro Eldebiky, Grace Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann
CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation. DATE (2023)
Jingcun Wang, Bing Li, Grace Li Zhang
Early Classification for Dynamic Inference of Neural Networks. CoRR (2023)
Wenhao Sun, Grace Li Zhang, Huaxi Gu, Bing Li, Ulf Schlichtmann
Class-based Quantization for Neural Networks. DATE (2023)
Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation. CoRR (2023)
Mengnan Jiang, Jingcun Wang, Amro Eldebiky, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Grace Li Zhang
Class-Aware Pruning for Efficient Neural Networks. CoRR (2023)
Wenhao Sun, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Bing Li, Ulf Schlichtmann
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement. DATE (2023)
Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
Expressivity Enhancement with Efficient Quadratic Neurons for Convolutional Neural Networks. CoRR (2023)
Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, Bing Li
PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration. CoRR (2023)
Tinghuan Chen, Grace Li Zhang, Bei Yu, Bing Li, Ulf Schlichtmann
Machine Learning in Advanced IC Design: A Methodological Survey. IEEE Des. Test 40 (1) (2023)
Wei-Lun Chen, Fang-Yi Gu, Ing-Chao Lin, Grace Li Zhang, Bing Li, Ulf Schlichtmann
A Novel and Efficient Block-Based Programming for ReRAM-Based Neuromorphic Computing. ICCAD (2023)
Amro Eldebiky, Bing Li, Grace Li Zhang
NearUni: Near-Unitary Training for Efficient Optical Neural Networks. ICCAD (2023)
Di Gao, Zeyu Yang, Qingrong Huang, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo
BRoCoM: A Bayesian Framework for Robust Computing on Memristor Crossbar. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Amro Eldebiky, Grace Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann
CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation. CoRR (2022)
Grace Li Zhang, Shuhang Zhang, Hai Helen Li, Ulf Schlichtmann
RRAM-based Neuromorphic Computing: Data Representation, Architecture, Logic, and Programming. DSD (2022)
Grace Li Zhang, Bing Li, Xing Huang, Xunzhao Yin, Cheng Zhuo, Masanori Hashimoto, Ulf Schlichtmann
VirtualSync+: Timing Optimization with Virtual Synchronization. CoRR (2022)
Wenhao Sun, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Bing Li, Ulf Schlichtmann
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement. CoRR (2022)
Xing Huang, Youlin Pan, Grace Li Zhang, Bing Li, Wenzhong Guo, Tsung-Yi Ho, Ulf Schlichtmann
PathDriver+: Enhanced Path-Driven Architecture Design for Flow-Based Microfluidic Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (7) (2022)
Wenwen Ye, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin
Aging Aware Retraining for Memristor-based Neuromorphic Computing. ISCAS (2022)
Jiahao Cai, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin
Energy efficient data search design and optimization based on a compact ferroelectric FET content addressable memory. DAC (2022)
Wenhao Sun, Grace Li Zhang, Huaxi Gu, Bing Li, Ulf Schlichtmann
Class-based Quantization for Neural Networks. CoRR (2022)
Grace Li Zhang, Bing Li, Xing Huang, Xunzhao Yin, Cheng Zhuo, Masanori Hashimoto, Ulf Schlichtmann
VirtualSync+: Timing Optimization With Virtual Synchronization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (12) (2022)
Yu Qian, Zhenhao Fan, Haoran Wang, Chao Li, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin
Energy-Aware Designs of Ferroelectric Ternary Content Addressable Memory. DATE (2021)
Jingyao Zhang, Huaxi Gu, Grace Li Zhang, Bing Li, Ulf Schlichtmann
Hardware-Software Codesign of Weight Reshaping and Systolic Array Multiplexing for Efficient CNNs. DATE (2021)
Di Gaol, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo
Reliable Memristor-based Neuromorphic Design Using Variation- and Defect-Aware Training. ICCAD (2021)
Chuliang Guo, Li Zhang, Xian Zhou, Grace Li Zhang, Bing Li, Weikang Qian, Xunzhao Yin, Cheng Zhuo
A Reconfigurable Multiplier for Signed Multiplications with Asymmetric Bit-Widths. ACM J. Emerg. Technol. Comput. Syst. 17 (4) (2021)
Grace Li Zhang, Bing Li, Ying Zhu, Tianchen Wang, Yiyu Shi, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann
Robustness of Neuromorphic Computing with RRAM-based Crossbars and Optical Neural Networks. ASP-DAC (2021)
Di Gao, Qingrong Huang, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo
Bayesian Inference Based Robust Computing on Memristor Crossbar. DAC (2021)
Grace Li Zhang, Bing Li, Xing Huang, Chen Shen, Shuhang Zhang, Florin Burcea, Helmut Graeb, Tsung-Yi Ho, Hai Li, Ulf Schlichtmann
An Efficient Programming Framework for Memristor-based Neuromorphic Computing. DATE (2021)
Ying Zhu, Grace Li Zhang, Bing Li, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann
Countering Variations and Thermal Effects for Accurate Optical Neural Networks. ICCAD (2020)
Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann
TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix). CoRR (2020)
Grace Li Zhang, Michaela Brunner, Bing Li, Georg Sigl, Ulf Schlichtmann
Timing Resilience for Efficient and Secure Circuits. ASP-DAC (2020)
Grace Li Zhang, Bing Li, Ying Zhu, Shuhang Zhang, Tianchen Wang, Yiyu Shi, Tsung-Yi Ho, Hai (Helen) Li, Ulf Schlichtmann
Reliable and Robust RRAM-based Neuromorphic Computing. ACM Great Lakes Symposium on VLSI (2020)
Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann
TimingCamouflage+: Netlist Security Enhancement With Unconventional Timing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
Xing Huang, Youlin Pan, Grace Li Zhang, Bing Li, Wenzhong Guo, Tsung-Yi Ho, Ulf Schlichtmann
PathDriver: A Path-Driven Architectural Synthesis Flow for Continuous-Flow Microfluidic Biochips. ICCAD (2020)
Ying Zhu, Grace Li Zhang, Tianchen Wang, Bing Li, Yiyu Shi, Tsung-Yi Ho, Ulf Schlichtmann
Statistical Training for Neuromorphic Computing using Memristor-based Crossbars Considering Process Variations and Noise. DATE (2020)
Shuhang Zhang, Grace Li Zhang, Bing Li, Hai Helen Li, Ulf Schlichtmann
Lifetime Enhancement for RRAM-based Computing-In-Memory Engine Considering Aging and Thermal Effects. AICAS (2020)
Grace Li Zhang, Bing Li, Yiyu Shi, Jiang Hu, Ulf Schlichtmann
EffiTest2: Efficient Delay Test and Prediction for Post-Silicon Clock Skew Configuration Under Process Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (4) (2019)
Shuhang Zhang, Grace Li Zhang, Bing Li, Hai Helen Li, Ulf Schlichtmann
Aging-aware Lifetime Enhancement for Memristor-based Neuromorphic Computing. DATE (2019)
Grace Li Zhang, Bing Li, Jinglan Liu, Yiyu Shi, Ulf Schlichtmann
Design-Phase Buffer Allocation for Post-Silicon Clock Binning by Iterative Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (2) (2018)
Grace Li Zhang, Bing Li, Bei Yu, David Z. Pan, Ulf Schlichtmann
TimingCamouflage: Improving circuit security against counterfeiting by unconventional timing. DATE (2018)
Grace Li Zhang, Bing Li, Ulf Schlichtmann
Timing with Virtual Signal Synchronization for Circuit Performance and Netlist Security. ISVLSI (2018)
Grace Li Zhang, Bing Li, Masanori Hashimoto, Ulf Schlichtmann
Virtualsync: timing optimization by synchronizing logic waves with sequential and combinational components as delay units. DAC (2018)
Grace Li Zhang, Bing Li, Ulf Schlichtmann
Sampling-based Buffer Insertion for Post-Silicon Yield Improvement under Process Variability. CoRR (2017)
Grace Li Zhang, Bing Li, Ulf Schlichtmann
PieceTimer: A Holistic Timing Analysis Framework Considering Setup/Hold Time Interdependency Using A Piecewise Model. CoRR (2017)
Grace Li Zhang, Bing Li, Jinglan Liu, Yiyu Shi, Ulf Schlichtmann
Design-Phase Buffer Allocation for Post-Silicon Clock Binning by Iterative Learning. CoRR (2017)
Baris Yigit, Grace Li Zhang, Bing Li, Yiyu Shi, Ulf Schlichtmann
Application of machine learning methods in post-silicon yield improvement. SoCC (2017)
Grace Li Zhang, Bing Li, Ulf Schlichtmann
EffiTest: Efficient Delay Test and Statistical Prediction for Configuring Post-silicon Tunable Buffers. CoRR (2017)
Grace Li Zhang, Bing Li, Ulf Schlichtmann
PieceTimer: a holistic timing analysis framework considering setup/hold time interdependency using a piecewise model. ICCAD (2016)
Grace Li Zhang, Bing Li, Ulf Schlichtmann
EffiTest: efficient delay test and statistical prediction for configuring post-silicon tunable buffers. DAC (2016)
Grace Li Zhang, Bing Li, Ulf Schlichtmann
Sampling-based buffer insertion for post-silicon yield improvement under process variability. DATE (2016)