Publications

  • Kangwei Xu, Bing Li, Grace Li Zhang, Ulf Schlichtmann, Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis, International Conference on Computer-Aided Design (ICCAD, acceptance rate 24.7%), 2025, Paper BibTeX
  • Chandan Kumar Jha, Muhammad Hassan, Khushboo Qayyum, Sallar Ahmadi-Pour, Kangwei Xu, Ruidi Qiu, Jason Blocklove, Luca Collini, Andre Nakkab, Ulf Schlichtmann, Grace Li Zhang, Ramesh Karri, Bing Li, Siddharth Garg, and Rolf Drechsler, “Large Language Models (LLMs) for Verification, Testing, and Design”, special session (invited), IEEE European Test Symposium (ETS), 2025, Paper (opens in new tab)BibTeX
  • Fang-Yi Gu, Ing-Chao Lin, Bing Li, Ulf Schlichtmann, Grace Li Zhang, Efficient Model Switching in RRAM-Based DNN Accelerators, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025, Paper BibTeX
  • Wenhao Sun, Bing Li, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, “Paradigm-based Automatic HDL Code Generation Using LLMs”, International Symposium on Quality Electronic Design (ISQED), 2025, Paper BibTeX
  • Zhuorui Zhao, Ruidi Qiu, Ing-Chao Lin, Grace Li Zhang, Bing Li, Ulf Schlichtmann, “VRank: Enhancing Verilog Code Generation from Large Language Models via Self-Consistency”, International Symposium on Quality Electronic Design (ISQED), 2025, Best Paper Award, Paper BibTeX
  • Jingcun Wang, Yu-Guang Chen, Ing-Chao Lin, Bing Li, Grace Li Zhang, Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression, International Conference on Learning Representations (ICLR), 2025, Paper Code BibTex
  • Ruidi Qiu, Grace Li Zhang, Rolf Drechsler, Ulf Schlichtmann, Bing Li, CorrectBench: Automatic Testbench Generation with Functional Self-Correction using LLMs for HDL Design, Design Automation and Test in Europe (DATE), 2025, Paper BibTex
  • Bo Liu, Bing Li, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration, IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI), 2024, PaperBibTex
  • Jiahao Cai, Hamza E. Barkam, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo and Xunzhao Yin, A Scalable 2T-1FeFET Based Content Addressable Memory Design for Energy Efficient Data Search, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024，Paper BibTex
  • Sijie Fei, Amro Eldebiky, Grace Li Zhang, Bing Li, Ulf Schlichtmann, An Efficient General-Purpose Optical Accelerator for Neural Networks, Asia and South Pacific Design Automation Conference (ASP-DAC, acceptance rate 29%), 2025, Paper BibTex
  • Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Ulf Schlichtmann and Bing Li, BasisN: Reprogramming-Free RRAM-Based In-Memory-Computing by Basis Combination for Deep Neural Networks, International Conference on Computer-Aided Design (ICCAD, acceptance rate 24%), 2024, Paper BibTex
  • Ruidi Qiu, Grace Li Zhang, Rolf Drechsler, Ulf Schlichtmann, Bing Li, AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for HDL Design, ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD), 2024, Best Artifact Award (1.9% of all submissions),Paper Code BibTex
  • 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, ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD), 2024,Paper Code BibTex
  • Jingcun Wang, Bing Li and Grace Li Zhang, Early-Exit with Class Exclusion for Efficient Inference of Neural Networks, International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2024, Paper Code BibTex
  • Mengnan Jiang, Jingcun Wang, Amro Eldebiky, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin and Grace Li Zhang, Class-Aware Pruning for Efficient Neural Networks, Design, Automation and Test in Europe (DATE, acceptance rate: 25%), March 2024,Nominated for Best Paper Award (1.2% of submissions), Paper, (opens in new tab) Code BibTex
  • Qingrong Huang, Hamza Errahmouni Barkam, Zeyu Yang, Jianyi Yang, Thomas Kämpfe, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Mohsen Imani, Cheng Zhuo and Xunzhao Yin, A FeFET-based Time-Domain Associative Memory for Multi-bit Similarity Computation, Design, Automation and Test in Europe (DATE, acceptance rate: 25%), March 2024, Nominated for Best Paper Award (1.2% of submissions) Paper BibTex
  • Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann and Bing Li, Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks, Design, Automation and Test in Europe (DATE, acceptance rate: 25%), March 2024, Paper (opens in new tab) BibTex
  • Tarik Ibrahimpasic, Grace Li Zhang, Michaela Brunner, Georg Sigl, Bing Li and Ulf Schlichtmann, ScanCamouflage: Obfuscating Scan Chains with Camouflaged Sequential and Logic Gates, Design, Automation and Test in Europe (DATE, acceptance rate: 25%), March 2024, Paper (opens in new tab) BibTex
  • Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann and Bing Li, OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation, Design, Automation and Test in Europe (DATE, acceptance rate: 25%), March 2024, Paper (opens in new tab) BibTex
  • Kangwei Xu, Grace Li Zhang, Ulf Schlichtmann and Bing Li, Logic Design of Neural Networks for High-Throughput and Low-Power Applications, Asia and South Pacific Design Automation Conference (ASP-DAC, acceptance rate 29%), 2024, Paper (opens in new tab) BibTex
  • Amro Eldebiky, Grace Li Zhang, Georg Bocherer, Bing Li and Ulf Schlichtmann, CorrectNet+: Dealing with HW Non-Idealities in In-Memory-Computing Platforms by Error Suppression and Compensation, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023, Paper BibTex
  • Amro Eldebiky, Bing Li and Grace Li Zhang, NearUni: Near-Unitary Training for Efficient Optical Neural Networks, IEEE/ACM International Conference on Computer-Aided Design (ICCAD, acceptance rate 23% ), November 2023, Paper BibTex
  • Wei-Lun Chen, Fang-Yi Gu, Ing-Chao Lin, Grace Li Zhang, Bing Li and Ulf Schlichtmann, A Novel and Efficient Block-Based Programming for ReRAM-Based Neuromorphic Computing, IEEE/ACM International Conference on Computer-Aided Design (ICCAD, acceptance rate 23%), November 2023, Paper BibTex
  • Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann and Bing Li, PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration, Design Automation Conference (DAC, acceptance rate 23%), July 2023, Paper BibTex
  • Amro Eldebiky, Grace Li Zhang, Georg Bocherer, Bing Li and Ulf Schlichtmann, CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation, Design, Automation and Test in Europe (DATE, acceptance rate: 25%), April 2023, Best Paper Nomination, Paper (opens in new tab) BibTex
  • Wenhao Sun, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Bing Li and Ulf Schlichtmann, SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement, Design, Automation and Test in Europe (DATE, acceptance rate: 25%), April 2023, Paper (opens in new tab) BibTex
  • Wenhao Sun, Grace Li Zhang, Huaxi Gu, Bing Li and Ulf Schlichtmann, Class-based Quantization for Neural Networks, Design, Automation and Test in Europe (DATE, acceptance rate: 25%), April 2023, Paper (opens in new tab) BibTex
  • Amro Eldebiky, Grace Li Zhang and Bing Li, Countering Uncertainties in In-Memory-Computing Platforms with Statistical Training, Accuracy Compensation and Recursive Test, Design, Automation and Test in Europe (DATE), April, 2023 (invited paper), Paper BibTex



Previous Publications Before Joining TU Darmstadt

Conference papers:

  • Grace Li Zhang, Shuhang Zhang, Hai (Helen) Li, Ulf Schlichtmann, RRAM-based Neuromorphic Computing-Data Representation, Architecture, Logic, and Programming, Euromicro Conference on Digital Systems Design (DSD), August 2022
  • Grace Li Zhang, Shuhang Zhang, Hai (Helen) Li, Ulf Schlichtmann, RRAM-based Neuromorphic Computing-Data Representation, Architecture, Logic, and Programming, Euromicro Conference on Digital Systems Design (DSD), August 2022
  • Michaela Brunner, Tarik Ibrahimpasic, Bing Li, Grace Li Zhang, Ulf Schlichtmann, Georg Sigl, Timing Camouflage Enabled State Machine Obfuscation, IEEE International Conference on Physical Assurance and Inspection of Electronics (PAINE), October 2022
  • Amro Eldebiky, Georg Böcherer, Grace Li Zhang, Bing Li, Maximilian Schädler, Stefano Calabro, Ulf Schlichtmann, Power-Efficient and Robust Nonlinear Demapper for 64QAM using In-Memory Computing, European Conference and Exhibition on Optical Communication (ECOC), September 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, ACM/IEEE Design Automation Conference (DAC), July 2022
  • Wenwen Ye, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin, Aging Aware Retraining for Memristor-based Neuromorphic Computing, IEEE International Symposium on Circuits and Systems (ISCAS), June 2022
  • Di Gao, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann and Cheng Zhuo, Reliable Memristor-based Neuromorphic Design Using Variation- and Defect-Aware Training, IEEE/ACM International Conference on Computer-Aided Design (ICCAD, acceptance rate: 24%), November 2021
  • Di Gao, Qingrong Huang, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Bayesian Inference Based Robust Computing on Memristor Crossbar, ACM/IEEE Design Automation Conference (DAC, acceptance rate: 23%), December 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, Design, Automation and Test in Europe (DATE, acceptance rate: 24%), February 2021
  • Grace Li Zhang, Bing Li, Xing Huang, Chen Shen, Shuhang Zhang, Florin Burcea, Helmut Graeb, Tsung-Yi Ho, Hai (Helen) Li, Ulf Schlichtmann, An Efficient Programming Framework for Memristor-based Neuromorphic Computing, Design, Automation and Test in Europe (DATE, acceptance rate: 24%), February 2021
  • Yu Qian, Zhenhao Fan, Haoran Wang, Chao Li, Kai Ni, Mohsen Imani, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin, Energy-Aware Designs of Ferroelectric Ternary Content Addressable Memory, Design, Automation and Test in Europe (DATE, acceptance rate: 24%), February 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, IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), January 2021, Invited Paper
  • Ying Zhu, Grace Li Zhang, Bing Li, Xunzhao Yin, Cheng Zhuo, Huaixi Gu, Tsung-Yi Ho, Ulf Schlichtmann, Countering Variations and Thermal Effects for Accurate Optical Neural Networks, IEEE/ACM International Conference on Computer-Aided Design (ICCAD, acceptance rate: 27%), November 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, IEEE/ACM International Conference on Computer-Aided Design (ICCAD, acceptance rate: 27%), November 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 (GLSVLSI), September 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, IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), March 2020
  • Ying Zhu, Grace Li Zhang, Tianchen Wan, Bing Li, Yiyu Shi, Tsung-Yi Ho, Ulf Schlichtmann, Statistical Training for Neuromorphic Computing using Memristor-based Crossbars Considering Process Variations and Noise, Design, Automation and Test in Europe (DATE, IP acceptance rate: 37%), March 2020
  • Grace Li Zhang, Michaela Brunner, Bing Li, Georg Sigl, Ulf Schlichtmann, Timing Resilience for Efficient and Secure Circuits, IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), January 2020, Invited Paper
  • Shuhang Zhang, Grace Li Zhang, Bing Li, Hai (Helen) Li, Ulf Schlichtmann, Aging-aware Lifetime Enhancement for Memristor-based Neuromorphic Computing, Design, Automation and Test in Europe (DATE, acceptance rate: 24%), March 2019
  • Grace Li Zhang, Bing Li, Ulf Schlichtmann, Timing with Virtual Signal Synchronization for Circuit Performance and Netlist Security, IEEE Computer Society Annual Symposium on VLSI (ISVLSI), July 2018, Invited Paper
  • Grace Li Zhang, Bing Li, Masanori Hashimoto, Ulf Schlichtmann, VirtualSync: Timing Optimization by Synchronizing Logic Waves with Sequential and Combinational Components as Delay Units, ACM/IEEE Design Automation Conference (DAC, acceptance rate: 21%), June 2018
  • Grace Li Zhang, Bing Li, Bei Yu, David Z. Pan, Ulf Schlichtmann, TimingCamouflage: Improving Circuit Security against Counterfeiting by Unconventional Timing, Design, Automation and Test in Europe (DATE, acceptance rate: 24%), March 2018
  • Baris Yigit, Grace Li Zhang, Bing Li, Yiyu Shi, Ulf Schlichtmann, Application of Machine Learning Methods in Post-Silicon Yield Improvement, IEEE International System on Chip Conference (SOCC), September 2017
  • Grace Li Zhang, Bing Li, Ulf Schlichtmann, PieceTimer: A Holistic Timing Analysis Framework Considering Setup/Hold Time Interdependency Using A Piecewise Model, IEEE/ACM International Conference on Computer-Aided Design (ICCAD, acceptance rate: 23.8%), November 2016
  • Grace Li Zhang, Bing Li, Ulf Schlichtmann, EffiTest: Efficient Delay Test and Statistical Prediction for Configuring Post-silicon Tunable Buffers, ACM/IEEE Design Automation Conference (DAC, acceptance rate: 17%), June 2016, Nominated for Best Paper Award
  • Grace Li Zhang, Alexandra Listl, Bing Li, Ulf Schlichtmann, Effizienter Verzögerungstest zur Optimierung der Taktfrequenz einer Schaltung durch nach der Fertigung konfigurierbare Puffer, edaWorkshop, May 2016
  • Grace Li Zhang, Bing Li, Ulf Schlichtmann, Sampling-based Buffer Insertion for Post-Silicon Yield Improvement under Process Variability, Design, Automation and Test in Europe (DATE, IP acceptance rate: 34%), March 2016

Journal Papers

  • Tinghuan Chen, Grace Li Zhang, Bei Yu, Bing Li, Raviv Gal, Ulf Schlichtmann, Machine Learning in Advanced IC Design: A Methodological Survey, IEEE Design & Test, 2022
  • 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022
  • Xuzhao 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022
  • Grace Li Zhang, Bing Li, Xing Huang, Xunzhao Yin, Cheng Zhuo, Masanori Hashimoto, Ulf Schlichtmann, VirtualSync+: Timing Optimization with Virtual Synchronization, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 41(12), pp. 5526-5540, 2022
  • Chuliang Guo, Li Zhang, Xian Zhou, Grace Li Zhang, Bing Li, Weikang Qian, Xunzhao Yin and Cheng Zhuo, A Reconfigurable Multiplier for Signed Multiplications with Asymmetric Bit-widths, Journal on Emerging Technologies in Computing Systems (JETC), 17(4), pp. 48:1-48:16, July 2021
  • Xing Huang, Youlin Pan, Grace Li Zhang, Bing Li, Wenzhong Guo, Tsung-Yi Ho, and Ulf Schlichtmann, PathDriver+: Enhanced Path-Driven Architecture Design for Flow-Based Microfluidic Biochips, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021
  • 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 39(12), pp. 4482-4495, December 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 38(4), pp. 705-718, April 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 37(2), pp. 392-405, February 2018