Grace Li Zhang

105 papers A* 6A 26B 2C 2Journal 55Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HLSRewriter: Efficient Refactoring and Optimization of C/C++ Code with LLMs for High-Level Synthesis. ACM Trans. Design Autom. Electr. Syst. Kangwei Xu, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
2026	J	`jnl`	Late Breaking Results: Conversion of Neural Networks into Logic Flows for Edge Computing. CoRR Daniel Stein, Shaoyi Huang, Rolf Drechsler, Bing Li, Grace Li Zhang
2026	J	`jnl`	OptINC: Optical In-Network-Computing for Scalable Distributed Learning. CoRR Sijie Fei, Grace Li Zhang, Bing Li, Ulf Schlichtmann
2025	J	`jnl`	A Scalable 2T-1FeFET-Based Content Addressable Memory Design for Energy Efficient Data Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiahao Cai, Hamza Errahmouni Barkam, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin
2025	—	`conf`	An Efficient General-Purpose Optical Accelerator for Neural Networks. ASP-DAC Sijie Fei, Amro Eldebiky, Grace Li Zhang, Bing Li, Ulf Schlichtmann
2025	A*	`conf`	Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression. ICLR Jingcun Wang, Yu-Guang Chen, Ing-Chao Lin, Bing Li, Grace Li Zhang
2025	J	`jnl`	CompressKV: Semantic Retrieval Heads Know What Tokens are Not Important Before Generation. CoRR Xiaolin Lin, Jingcun Wang, Olga Kondrateva, Yiyu Shi, Bing Li, Grace Li Zhang
2025	A	`conf`	CorrectBench: Automatic Testbench Generation with Functional Self-Correction using LLMs for HDL Design. DATE Ruidi Qiu, Grace Li Zhang, Rolf Drechsler, Ulf Schlichtmann, Bing Li
2025	J	`jnl`	CorrectHDL: Agentic HDL Design with LLMs Leveraging High-Level Synthesis as Reference. CoRR Kangwei Xu, Grace Li Zhang, Ulf Schlichtmann, Bing Li
2025	J	`jnl`	Deep Joint Source-Channel Coding for Small Satellite Applications. CoRR Olga Kondrateva, Grace Li Zhang, Julian Zobel, Björn Scheuermann, Stefan Dietzel
2025	J	`jnl`	Efficient Model Switching in RRAM-Based DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fang-Yi Gu, Ing-Chao Lin, Bing Li, Ulf Schlichtmann, Grace Li Zhang
2025	—	`conf`	Efficient Neural Network Compression for Fast Inference on Hardware. ISVLSI Jingcun Wang, Mengnan Jiang, Grace Li Zhang
2025	A	`conf`	HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis. ICCAD Kangwei Xu, Bing Li, Grace Li Zhang, Ulf Schlichtmann
2025	J	`jnl`	HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis. CoRR Kangwei Xu, Bing Li, Grace Li Zhang, Ulf Schlichtmann
2025	B	`conf`	Large Language Models (LLMs) for Verification, Testing, and Design. ETS 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, Rolf Drechsler
2025	J	`jnl`	Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration. CoRR Jiaxun Fang, Grace Li Zhang, Shaoyi Huang
2025	J	`jnl`	Layer-wise dynamic rank for compressing large language models. CoRR Zhendong Mi, Bian Sun, Grace Li Zhang, Shaoyi Huang
2025	J	`jnl`	PEL-NAS: Search Space Partitioned Architecture Prompt Co-Evolutionary LLM-driven Hardware-Aware Neural Architecture Search. CoRR Hengyi Zhu, Grace Li Zhang, Shaoyi Huang
2025	—	`conf`	Paradigm-Based Automatic HDL Code Generation Using LLMs. ISQED Wenhao Sun, Bing Li, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann
2025	J	`jnl`	Paradigm-Based Automatic HDL Code Generation Using LLMs. CoRR Wenhao Sun, Bing Li, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann
2025	A	`conf`	Revolution or Hype? Seeking the Limits of Large Models in Hardware Design. ICCAD Qiang Xu, Leon Stok, Rolf Drechsler, Xi Wang, Grace Li Zhang, Igor L. Markov
2025	J	`jnl`	Revolution or Hype? Seeking the Limits of Large Models in Hardware Design. CoRR Qiang Xu, Leon Stok, Rolf Drechsler, Xi Wang, Grace Li Zhang, Igor L. Markov
2025	J	`jnl`	SVG360: Multi-View SVG Generation with Geometric and Color Consistency from a Single SVG. CoRR Mengnan Jiang, Zhaolin Sun, Christian Franke, Michele Franco Adesso, Antonio Haas, Grace Li Zhang
2025	J	`jnl`	Towards Fast LLM Fine-tuning through Zeroth-Order Optimization with Projected Gradient-Aligned Perturbations. CoRR Zhendong Mi, Qitao Tan, Grace Li Zhang, Zhaozhuo Xu, Geng Yuan, Shaoyi Huang
2025	—	`conf`	VFocus: Better Verilog Generation from Large Language Model via Focused Reasoning. SOCC Zhuorui Zhao, Bing Li, Grace Li Zhang, Ulf Schlichtmann
2025	J	`jnl`	VFocus: Better Verilog Generation from Large Language Model via Focused Reasoning. CoRR Zhuorui Zhao, Bing Li, Grace Li Zhang, Ulf Schlichtmann
2025	—	`conf`	VRank: Enhancing Verilog Code Generation from Large Language Models via Self-Consistency. ISQED Zhuorui Zhao, Ruidi Qiu, Ing-Chao Lin, Grace Li Zhang, Bing Li, Ulf Schlichtmann
2025	J	`jnl`	VRank: Enhancing Verilog Code Generation from Large Language Models via Self-Consistency. CoRR Zhuorui Zhao, Ruidi Qiu, Ing-Chao Lin, Grace Li Zhang, Bing Li, Ulf Schlichtmann
2024	J	`jnl`	A 3D Hybrid Optical-Electrical NoC Using Novel Mapping Strategy Based DCNN Dataflow Acceleration. IEEE Trans. Parallel Distributed Syst. Bowen Zhang, Huaxi Gu, Grace Li Zhang, Yintang Yang, Ziteng Ma, Ulf Schlichtmann
2024	A	`conf`	A FeFET-based Time-Domain Associative Memory for Multi-bit Similarity Computation. DATE 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
2024	J	`jnl`	An Efficient General-Purpose Optical Accelerator for Neural Networks. CoRR Sijie Fei, Amro Eldebiky, Grace Li Zhang, Bing Li, Ulf Schlichtmann
2024	—	`conf`	AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for HDL Design. MLCAD Ruidi Qiu, Grace Li Zhang, Rolf Drechsler, Ulf Schlichtmann, Bing Li
2024	J	`jnl`	AutoBench: Automatic Testbench Generation and Evaluation Using LLMs for HDL Design. CoRR Ruidi Qiu, Grace Li Zhang, Rolf Drechsler, Ulf Schlichtmann, Bing Li
2024	—	`conf`	Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models. MLCAD Kangwei Xu, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
2024	J	`jnl`	Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models. CoRR Kangwei Xu, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
2024	J	`jnl`	Basis Sharing: Cross-Layer Parameter Sharing for Large Language Model Compression. CoRR Jingcun Wang, Yu-Guang Chen, Ing-Chao Lin, Bing Li, Grace Li Zhang
2024	A	`conf`	BasisN: Reprogramming-Free RRAM-Based In-Memory-Computing by Basis Combination for Deep Neural Networks. ICCAD Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Ulf Schlichtmann, Bing Li
2024	J	`jnl`	BasisN: Reprogramming-Free RRAM-Based In-Memory-Computing by Basis Combination for Deep Neural Networks. CoRR Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Ulf Schlichtmann, Bing Li
2024	A	`conf`	Class-Aware Pruning for Efficient Neural Networks. DATE Mengnan Jiang, Jingcun Wang, Amro Eldebiky, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Grace Li Zhang
2024	J	`jnl`	Classification-Based Automatic HDL Code Generation Using LLMs. CoRR Wenhao Sun, Bing Li, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann
2024	A	`conf`	Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks. DATE Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
2024	J	`jnl`	CorrectBench: Automatic Testbench Generation with Functional Self-Correction using LLMs for HDL Design. CoRR Ruidi Qiu, Grace Li Zhang, Rolf Drechsler, Ulf Schlichtmann, Bing Li
2024	J	`jnl`	CorrectNet+: Dealing With HW Non-Idealities in In-Memory-Computing Platforms by Error Suppression and Compensation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Amro Eldebiky, Grace Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann
2024	—	`conf`	Early-Exit with Class Exclusion for Efficient Inference of Neural Networks. AICAS Jingcun Wang, Bing Li, Grace Li Zhang
2024	J	`jnl`	EncodingNet: A Novel Encoding-Based MAC Design for Efficient Neural Network Acceleration. IEEE Trans. Circuits Syst. Artif. Intell. Bo Liu, Bing Li, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann
2024	J	`jnl`	EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration. CoRR Bo Liu, Grace Li Zhang, Xunzhao Yin, Ulf Schlichtmann, Bing Li
2024	J	`jnl`	LLM-Aided Efficient Hardware Design Automation. CoRR Kangwei Xu, Ruidi Qiu, Zhuorui Zhao, Grace Li Zhang, Ulf Schlichtmann, Bing Li
2024	J	`jnl`	LiveMind: Low-latency Large Language Models with Simultaneous Inference. CoRR Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
2024	B	`conf`	Logic Design of Neural Networks for High-Throughput and Low-Power Applications. ASPDAC Kangwei Xu, Grace Li Zhang, Ulf Schlichtmann, Bing Li
2024	A	`conf`	OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation. DATE Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
2024	A	`conf`	ScanCamouflage: Obfuscating Scan Chains with Camouflaged Sequential and Logic Gates. DATE Tarik Ibrahimpasic, Grace Li Zhang, Michaela Brunner, Georg Sigl, Bing Li, Ulf Schlichtmann
2023	A	`conf`	A Novel and Efficient Block-Based Programming for ReRAM-Based Neuromorphic Computing. ICCAD Wei-Lun Chen, Fang-Yi Gu, Ing-Chao Lin, Grace Li Zhang, Bing Li, Ulf Schlichtmann
2023	J	`jnl`	BRoCoM: A Bayesian Framework for Robust Computing on Memristor Crossbar. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Di Gao, Zeyu Yang, Qingrong Huang, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo
2023	J	`jnl`	Class-Aware Pruning for Efficient Neural Networks. CoRR Mengnan Jiang, Jingcun Wang, Amro Eldebiky, Xunzhao Yin, Cheng Zhuo, Ing-Chao Lin, Grace Li Zhang
2023	A	`conf`	Class-based Quantization for Neural Networks. DATE Wenhao Sun, Grace Li Zhang, Huaxi Gu, Bing Li, Ulf Schlichtmann
2023	A	`conf`	CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation. DATE Amro Eldebiky, Grace Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann
2023	A	`conf`	Countering Uncertainties in In-Memory-Computing Platforms with Statistical Training, Accuracy Compensation and Recursive Test. DATE Amro Eldebiky, Grace Li Zhang, Bing Li
2023	J	`jnl`	Early Classification for Dynamic Inference of Neural Networks. CoRR Jingcun Wang, Bing Li, Grace Li Zhang
2023	J	`jnl`	Expressivity Enhancement with Efficient Quadratic Neurons for Convolutional Neural Networks. CoRR Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
2023	J	`jnl`	Ferroelectric Ternary Content Addressable Memories for Energy-Efficient Associative Search. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xunzhao Yin, Yu Qian, Mohsen Imani, Kai Ni, Chao Li, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo
2023	J	`jnl`	Logic Design of Neural Networks for High-Throughput and Low-Power Applications. CoRR Kangwei Xu, Grace Li Zhang, Ulf Schlichtmann, Bing Li
2023	J	`jnl`	Machine Learning in Advanced IC Design: A Methodological Survey. IEEE Des. Test Tinghuan Chen, Grace Li Zhang, Bei Yu, Bing Li, Ulf Schlichtmann
2023	A	`conf`	NearUni: Near-Unitary Training for Efficient Optical Neural Networks. ICCAD Amro Eldebiky, Bing Li, Grace Li Zhang
2023	J	`jnl`	OplixNet: Towards Area-Efficient Optical Split-Complex Networks with Real-to-Complex Data Assignment and Knowledge Distillation. CoRR Ruidi Qiu, Amro Eldebiky, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li
2023	A*	`conf`	PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration. DAC Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, Bing Li
2023	J	`jnl`	PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration. CoRR Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, Bing Li
2023	A	`conf`	SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement. DATE Wenhao Sun, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Bing Li, Ulf Schlichtmann
2022	C	`conf`	Aging Aware Retraining for Memristor-based Neuromorphic Computing. ISCAS Wenwen Ye, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin
2022	J	`jnl`	Class-based Quantization for Neural Networks. CoRR Wenhao Sun, Grace Li Zhang, Huaxi Gu, Bing Li, Ulf Schlichtmann
2022	J	`jnl`	CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation. CoRR Amro Eldebiky, Grace Li Zhang, Georg Böcherer, Bing Li, Ulf Schlichtmann
2022	A*	`conf`	Energy efficient data search design and optimization based on a compact ferroelectric FET content addressable memory. DAC Jiahao Cai, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin
2022	J	`jnl`	PathDriver+: Enhanced Path-Driven Architecture Design for Flow-Based Microfluidic Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xing Huang, Youlin Pan, Grace Li Zhang, Bing Li, Wenzhong Guo, Tsung-Yi Ho, Ulf Schlichtmann
2022	C	`conf`	RRAM-based Neuromorphic Computing: Data Representation, Architecture, Logic, and Programming. DSD Grace Li Zhang, Shuhang Zhang, Hai Helen Li, Ulf Schlichtmann
2022	J	`jnl`	SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement. CoRR Wenhao Sun, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Bing Li, Ulf Schlichtmann
2022	J	`jnl`	VirtualSync+: Timing Optimization With Virtual Synchronization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Grace Li Zhang, Bing Li, Xing Huang, Xunzhao Yin, Cheng Zhuo, Masanori Hashimoto, Ulf Schlichtmann
2022	J	`jnl`	VirtualSync+: Timing Optimization with Virtual Synchronization. CoRR Grace Li Zhang, Bing Li, Xing Huang, Xunzhao Yin, Cheng Zhuo, Masanori Hashimoto, Ulf Schlichtmann
2021	J	`jnl`	A Reconfigurable Multiplier for Signed Multiplications with Asymmetric Bit-Widths. ACM J. Emerg. Technol. Comput. Syst. Chuliang Guo, Li Zhang, Xian Zhou, Grace Li Zhang, Bing Li, Weikang Qian, Xunzhao Yin, Cheng Zhuo
2021	A	`conf`	An Efficient Programming Framework for Memristor-based Neuromorphic Computing. DATE Grace Li Zhang, Bing Li, Xing Huang, Chen Shen, Shuhang Zhang, Florin Burcea, Helmut Graeb, Tsung-Yi Ho, Hai Li, Ulf Schlichtmann
2021	A*	`conf`	Bayesian Inference Based Robust Computing on Memristor Crossbar. DAC Di Gao, Qingrong Huang, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo
2021	A	`conf`	Energy-Aware Designs of Ferroelectric Ternary Content Addressable Memory. DATE Yu Qian, Zhenhao Fan, Haoran Wang, Chao Li, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin
2021	A	`conf`	Hardware-Software Codesign of Weight Reshaping and Systolic Array Multiplexing for Efficient CNNs. DATE Jingyao Zhang, Huaxi Gu, Grace Li Zhang, Bing Li, Ulf Schlichtmann
2021	A	`conf`	Reliable Memristor-based Neuromorphic Design Using Variation- and Defect-Aware Training. ICCAD Di Gao, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo
2021	—	`conf`	Robustness of Neuromorphic Computing with RRAM-based Crossbars and Optical Neural Networks. ASP-DAC Grace Li Zhang, Bing Li, Ying Zhu, Tianchen Wang, Yiyu Shi, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann
2020	A	`conf`	Countering Variations and Thermal Effects for Accurate Optical Neural Networks. ICCAD Ying Zhu, Grace Li Zhang, Bing Li, Xunzhao Yin, Cheng Zhuo, Huaxi Gu, Tsung-Yi Ho, Ulf Schlichtmann
2020	—	`conf`	Lifetime Enhancement for RRAM-based Computing-In-Memory Engine Considering Aging and Thermal Effects. AICAS Shuhang Zhang, Grace Li Zhang, Bing Li, Hai Helen Li, Ulf Schlichtmann
2020	A	`conf`	PathDriver: A Path-Driven Architectural Synthesis Flow for Continuous-Flow Microfluidic Biochips. ICCAD Xing Huang, Youlin Pan, Grace Li Zhang, Bing Li, Wenzhong Guo, Tsung-Yi Ho, Ulf Schlichtmann
2020	—	`conf`	Reliable and Robust RRAM-based Neuromorphic Computing. ACM Great Lakes Symposium on VLSI Grace Li Zhang, Bing Li, Ying Zhu, Shuhang Zhang, Tianchen Wang, Yiyu Shi, Tsung-Yi Ho, Hai (Helen) Li, Ulf Schlichtmann
2020	A	`conf`	Statistical Training for Neuromorphic Computing using Memristor-based Crossbars Considering Process Variations and Noise. DATE Ying Zhu, Grace Li Zhang, Tianchen Wang, Bing Li, Yiyu Shi, Tsung-Yi Ho, Ulf Schlichtmann
2020	—	`conf`	Timing Resilience for Efficient and Secure Circuits. ASP-DAC Grace Li Zhang, Michaela Brunner, Bing Li, Georg Sigl, Ulf Schlichtmann
2020	J	`jnl`	TimingCamouflage+: Netlist Security Enhancement With Unconventional Timing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann
2020	J	`jnl`	TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix). CoRR Grace Li Zhang, Bing Li, Meng Li, Bei Yu, David Z. Pan, Michaela Brunner, Georg Sigl, Ulf Schlichtmann
2019	A	`conf`	Aging-aware Lifetime Enhancement for Memristor-based Neuromorphic Computing. DATE Shuhang Zhang, Grace Li Zhang, Bing Li, Hai Helen Li, Ulf Schlichtmann
2019	J	`jnl`	EffiTest2: Efficient Delay Test and Prediction for Post-Silicon Clock Skew Configuration Under Process Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Grace Li Zhang, Bing Li, Yiyu Shi, Jiang Hu, Ulf Schlichtmann
2018	J	`jnl`	Design-Phase Buffer Allocation for Post-Silicon Clock Binning by Iterative Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Grace Li Zhang, Bing Li, Jinglan Liu, Yiyu Shi, Ulf Schlichtmann
2018	—	`conf`	Timing with Virtual Signal Synchronization for Circuit Performance and Netlist Security. ISVLSI Grace Li Zhang, Bing Li, Ulf Schlichtmann
2018	A	`conf`	TimingCamouflage: Improving circuit security against counterfeiting by unconventional timing. DATE Grace Li Zhang, Bing Li, Bei Yu, David Z. Pan, Ulf Schlichtmann
2018	A*	`conf`	Virtualsync: timing optimization by synchronizing logic waves with sequential and combinational components as delay units. DAC Grace Li Zhang, Bing Li, Masanori Hashimoto, Ulf Schlichtmann
2017	—	`conf`	Application of machine learning methods in post-silicon yield improvement. SoCC Baris Yigit, Grace Li Zhang, Bing Li, Yiyu Shi, Ulf Schlichtmann
2017	J	`jnl`	Design-Phase Buffer Allocation for Post-Silicon Clock Binning by Iterative Learning. CoRR Grace Li Zhang, Bing Li, Jinglan Liu, Yiyu Shi, Ulf Schlichtmann
2017	J	`jnl`	EffiTest: Efficient Delay Test and Statistical Prediction for Configuring Post-silicon Tunable Buffers. CoRR Grace Li Zhang, Bing Li, Ulf Schlichtmann
2017	J	`jnl`	PieceTimer: A Holistic Timing Analysis Framework Considering Setup/Hold Time Interdependency Using A Piecewise Model. CoRR Grace Li Zhang, Bing Li, Ulf Schlichtmann
2017	J	`jnl`	Sampling-based Buffer Insertion for Post-Silicon Yield Improvement under Process Variability. CoRR Grace Li Zhang, Bing Li, Ulf Schlichtmann
2016	A*	`conf`	EffiTest: efficient delay test and statistical prediction for configuring post-silicon tunable buffers. DAC Grace Li Zhang, Bing Li, Ulf Schlichtmann
2016	A	`conf`	PieceTimer: a holistic timing analysis framework considering setup/hold time interdependency using a piecewise model. ICCAD Grace Li Zhang, Bing Li, Ulf Schlichtmann
2016	A	`conf`	Sampling-based buffer insertion for post-silicon yield improvement under process variability. DATE Grace Li Zhang, Bing Li, Ulf Schlichtmann