Publication
- Tarik Ibrahimpasic, Bing Li, Ulf Schlichtmann, “SAT-Resilient FSM Obfuscation via Cyclic Logic and Flip-Flop Camouflage,” IEEE Computer Society Annual Symposium on VLSI, 2026
- Kangwei Xu, Bing Li, Ulf Schlichtmann, “Invited: LLM for EDA in Front-End Design: Challenges and Opportunities,” Design Automation Conference (DAC), 2026, special session
- Sijie Fei, Grace Li Zhang, Bing Li, Ulf Schlichtmann, “OptINC: Optical In-Network-Computing for Scalable Distributed Learning,” International Symposium of EDA (ISEDA), 2026
- Daniel Stein, Shaoyi Huang, Rolf Drechsler, Bing Li and Grace Li Zhang, Late Breaking Results: Conversion of Neural Networks into Logic Flows for Edge Computing, Design, Automation, and Test in Europe (DATE), 2026
- Alptekin Vardar, Nellie Laleni, Subhashree Baskaran, Mohammad Mehdi Sharifi, Mengyuan Li, Franz Müller, Marcel Günter, Yu Qian, Cheng Zhuo, Xunzhao Yin, Michael Niemier, Bing Li, X. Sharon Hu, Konrad Seidel, Kai Ni, Thomas Kämpfe, “A 28nm FeFET-Based Content-Addressable Memory for Energy-Efficient Similarity Search and Few-Shot Learning,” IEEE Journal of the Electron Devices Society, 2026
- Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe, “People Counting and Positioning Using Low-Resolution Infrared Images for FeFET-Based In-Memory Computing,” Advanced Electronic Materials, 2026
- Kangwei Xu, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li, “HLSRewriter: Efficient Refactoring and Optimization of C/C++ Code with LLMs for High-Level Synthesis,” ACM Transactions on Design Automation of Electronic Systems (TODAES), 31(4), 2026
- Zhuorui Zhao, Bing Li, Ulf Schlichtmann, “VFocus: Better Verilog Generation from Large Language Model via Focused Reasoning,” IEEE International System-on-Chip Conference (SOCC), 2025
- Kangwei Xu, Denis Schwachhofer, Jason Blocklove, Ilia Polian, Peter Domanski, Dirk Pflüger, Siddharth Garg, Ramesh Karri, Ozgur Sinanoglu, Johann Knechtel, Zhuorui Zhao, Ulf Schlichtmann, Bing Li, “Large Language Models (LLMs) for Electronic Design Automation (EDA),” IEEE International System-on-Chip Conference (SOCC), 2025, special session paper
- Ruidi Qiu, Grace Li Zhang, Rolf Drechsler, Tsung-Yi Ho, Ulf Schlichtmann, Bing Li, “ConfiBench: Automatic Testbench Generation with Confidence-Based Scenario Mask and Testbench Ensemble using LLMs for HDL Design,” ACM Transactions on Design Automation of Electronic Systems (TODAES), accepted
- Michael Neumeier, Nael Fasfous, Bing Li, Axel von Arnim, “SpikeClouds: Streaming Spike-based Processing of LiDAR for Fast and Efficient Object Detection,” IEEE Robotics and Automation Letters, 10(8), 2025
- Zhuorui Zhao, Bing Li, Grace Li Zhang, Ulf Schlichtmann, “VFocus: Better Verilog Generation from Large Language Model via Focused Reasoning,” IEEE International System-on-Chip Conference (SOCC), 2025
- Kangwei Xu, Bing Li, Grace Li Zhang, Ulf Schlichtmann, “HLSTester: Efficient Testing of Behavioral Discrepancies with LLMs for High-Level Synthesis,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2025
- Michael Neumeier, Jules Lecomte, Nils Kazinski, Soubarnam Banik, Bing Li, Axel von Arnim, “EEvAct: Early Event-Based Action Recognition with High-Rate Two-Stream Spiking Neural Networks,” IEEE/ACM International Conference on Neuromorphic Systems, 2025
- 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
- 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
- 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
- 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
- Ruidi Qiu, Grace Li Zhang, Rolf Drechsler, Ulf Schlichtmann and Bing Li, “CorrectBench: Automatic Testbench Generation with Functional Self-correction Using LLMms for HDL Design”, Design, Automation and Test in Europe (DATE), 2025
- Sijie Fei, Amro Eldebiky, Grace Li Zhang, Bing Li, Ulf Schlichtmann, “An Efficient General-Purpose Optical Accelerator for Neural Networks,” IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2025
- 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
- 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
- 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
- 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,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2024
- Jingcun Wang, Bing Li, Grace Li Zhang, “Early-Exit with Class Exclusion for Efficient Inference of Neural Networks,” International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2024
- Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li, “Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks,” Design, Automation and Test in Europe (DATE), 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,” Design, Automation and Test in Europe (DATE), 2024, Nominated for Best Paper Award
- Tarik Ibrahimpasic, Grace Li Zhang, Michaela Brunner, Georg Sigl, Bing Li, Ulf Schlichtmann, “ScanCamouflage: Obfuscating Scan Chains with Camouflaged Sequential and Logic Gates,” Design, Automation and Test in Europe (DATE), 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,” Design, Automation and Test in Europe (DATE), 2024
- Kangwei Xu, Grace Li Zhang, Ulf Schlichtmann, Bing Li, “Logic Design of Neural Networks for High-Throughput and Low-Power Applications,” IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2024
- 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
- 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), December 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 43(2), February 2024
- Amro Eldebiky, Bing Li, Grace Li Zhang, “NearUni: Near-Unitary Training for Efficient Optical Neural Networks,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 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,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2023
- Bo Liu, Christian Blümm, Stefano Calabrò, Bing Li, Ulf Schlichtmann, “Area-Efficient Hardware Parallelization of Neural Network CD Equalizers for 4×200 Gb/s PAM4 CWDM4 Systems,” European Conference on Optical Communication (ECOC), 2023
- Christian Blümm, Bo Liu, Talha Rahman, Bing Li, Ulf Schlichtmann, Stefano Calabrò, “Towards Neural Network Equalizer Implementations for IM/DD Transceivers,” OptoElectronics and Communications Conference (OECC), 2023, Invited Paper
- Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, Bing Li, “PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration,” ACM/IEEE Design Automation Conference (DAC), 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,” Design, Automation and Test in Europe (DATE), 2023, Nominated for Best Paper Award
- Amro Eldebiky, Grace Li Zhang, Bing Li, “Countering Uncertainties in In-Memory-Computing Platforms with Statistical Training, Accuracy Compensation and Recursive Test,” Design, Automation and Test in Europe (DATE), 2023, Invited Paper
- Wenhao Sun, Grace Li Zhang, Huaxi Gu, Bing Li, Ulf Schlichtmann, “Class-based Quantization for Neural Networks,” Design, Automation and Test in Europe (DATE), 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,” Design, Automation and Test in Europe (DATE), 2023
- Bo Liu, Christian Blümm, Stefano Calabrò, Bing Li, Ulf Schlichtmann, “Area-Efficient Neural Network CD Equalizer for 4x200Gb/s PAM4 CWDM4 Systems,” Optical Fiber Communication Conference (OFC), 2023
- Amro Eldebiky, Georg Böcherer, Maximilian Schaedler, Stefano Calabrò, Bing Li, Ulf Schlichtmann, “Implementation of a Robust and Power-Efficient Nonlinear 64-QAM Demapper using In-Memory Computing,” Optical Fiber Communication Conference (OFC), 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 42(7), July 2023
- Christian Blümm, Bo Liu, Bing Li, Talha Rahman, Md Sabbir-Bin Hossain, Maximilian Schaedler, Ulf Schlichtmann, Maxim Kuschnerov, Stefano Calabrò, “Hardware-efficient Duobinary Neural Network Equalizers for 800Gb/s IM/DD PAM4 Transmission over 10km SSMF,” IEEE/OSA Journal of Lightwave Technology (JLT), 41(12), June 2023
- 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 42(4), April 2023
- 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), 2022
- Amro Eldebiky, Georg Böcherer, Grace Li Zhang, Bing Li, Maximilian Schaedler, Stefano Calabrò, Ulf Schlichtmann, “Power-Efficient and Robust Nonlinear Demapper for 64QAM Using in-Memory Computing,” European Conference on Optical Communication (ECOC), 2022
- Christian Blümm, Bo Liu, Bing Li, Talha Rahman, Md Sabbir-Bin Hossain, Maximilian Schaedler, Ulf Schlichtmann, Maxim Kuschnerov, Stefano Calabrò, “800Gb/s PAM4 Transmission Over 10km SSMF Enabled by Low-Complex Duobinary Neural Network Equalization,” European Conference on Optical Communication (ECOC), 2022
- Ziru Li, Qilin Zheng, Bonan Yan, Ru Huang, Bing Li, Yiran Chen, “ASTERS: Adaptable Threshold Spike-timing Neuromorphic Design with Twin-Column ReRAM Synapses,” ACM/IEEE Design Automation Conference (DAC), 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), 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), 2022
- Tinghuan Chen, Grace Li Zhang, Bei Yu, Bing Li, Ulf Schlichtmann, “Machine Learning in Advanced IC Design: A Methodological Survey,” IEEE Design & Test (D&T), 40(1), February 2023
- 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), December 2022
- Hui-Chieh Yu, Yu-Huei Lin, Zhiyang Chen, Bing Li, Xing Huang, Ulf Schlichtmann, Tsung-Yi Ho, Hailong Yao, “Contamination-Aware Synthesis for Programmable Microfluidic Devices,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 41(11), November 2022
- Xing Huang, Wenzhong Guo, Zhisheng Chen, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann, “Flow-Based Microfluidic Biochips with Distributed Channel Storage: Synthesis, Physical Design, and Wash Optimization,” IEEE Transactions on Computers (TC), 71(2), February 2022
- Di Gao, Grace Li Zhang, Xunzhao Yin, Bing Li, Ulf Schlichtmann, Cheng Zhuo, “Reliable Memristor-based Neuromorphic Design Using Variation- and Defect-Aware Training,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 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), 2021
- Yu-Kai Chuang, Yong Zhong, Yi-Hao Cheng, Bo-Yi Yu, Shao-Yun Fang, Bing Li, Ulf Schlichtmann, “RobustONoC: Fault-Tolerant Optical Networks-on-Chip with Path Backup and Signal Reflection,” IEEE International Symposium on Quality Electronic Design (ISQED), 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), 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), 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), 2021
- Yun-Chen Lo, Bing Li, Sooyong Park, Kwanwoo Shin, Tsung-Yi Ho, “Interference-Free Design Methodology for Paper-Based Digital Microfluidic Biochips,” IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 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), 2021, Invited Paper
- 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 41(7), August 2021
- Xing Huang, Tsung-Yi Ho, Wenzhong Guo, Bing Li, Krishnendu Chakrabarty, Ulf Schlichtmann, “Computer-aided Design Techniques for Flow-based Microfluidic Lab-on-a-chip Systems,” ACM Computing Surveys, 54(5), June 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 Journal on Emerging Technologies in Computing Systems (JETC), 17(4), June 2021
- Chunfeng Liu, Xing Huang, Bing Li, Hailong Yao, Paul Pop, Tsung-Yi Ho, Ulf Schlichtmann, “DCSA: Distributed Channel-Storage Architecture for Flow-Based Microfluidic Biochips,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 40(1), January 2021
- 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), 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), 2020, Invited Paper
- 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), 2020
- Shuhang Zhang, Bing Li, Hai (Helen) Li, Ulf Schlichtmann, “A Pulse-width Modulation Neuron with Continuous Activation for Processing-In-Memory Engines,” Design, Automation and Test in Europe (DATE), 2020
- Gautam Choudhary, Sandeep Pal, Debraj Kundu, Sukanta Bhattacharjee, Shigeru Yamashita, Bing Li, Ulf Schlichtmann, Sudip Roy, “Transport-Free Module Binding for Sample Preparation using Microfluidic Fully Programmable Valve Arrays,” Design, Automation and Test in Europe (DATE), 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), 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), 2020, Invited Paper
- 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), December 2020
- Chunfeng Liu, Bing Li, Bhargab B. Bhattacharya, Krishnendu Chakrabarty, Tsung-Yi Ho, Ulf Schlichtmann, “Test Generation for Flow-Based Microfluidic Biochips with General Architectures,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 39(10), October 2020
- Ying Zhu, Xing Huang, Bing Li, Tsung-Yi Ho, Qin Wang, Hailong Yao, Robert Wille, Ulf Schlichtmann, “MultiControl: Advanced Control Logic Synthesis for Flow-Based Microfluidic Biochips,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 39(10), October 2020
- Qin Wang, Weiqing Ji, Zeyan Li, Haena Cheong, Oh-Sun Kwon, Hailong Yao, Tsung-Yi Ho, Kwanwoo Shin, Bing Li, Ulf Schlichtmann, Yici Cai, “Integrated Control-Fluidic CoDesign Methodology for Paper-Based Digital Microfluidic Biochips,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 39(3), March 2020
- Xing Huang, Tsung-Yi Ho, Wenzhong Guo, Bing Li, Ulf Schlichtmann, “MiniControl: Synthesis of Continuous-flow Microfluidics with Strictly Constrained Control Ports,” ACM/IEEE Design Automation Conference (DAC), 2019
- 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), 2019
- Yu-Huei Lin, Tsung-Yi Ho, Bing Li, Ulf Schlichtmann, “Block-Flushing: A Block-based Washing Algorithm for Programmable Microfluidic Devices,” Design, Automation and Test in Europe (DATE), 2019, Nominated for Best Paper Award
- Zhisheng Chen, Xing Huang, Wenzhong Guo, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann, “Physical Synthesis of Flow-Based Microfluidic Biochips Considering Distributed Channel Storage,” Design, Automation and Test in Europe (DATE), 2019
- Alessandro Bernardini, Chunfeng Liu, Bing Li, Ulf Schlichtmann, “Fault Localization in Programmable Microfluidic Devices,” Design, Automation and Test in Europe (DATE), 2019
- Florin Burcea, Andreas Herrmann, Bing Li, Helmut Graeb, “MEMS-IC Robustness Optimization Considering Electrical and Mechanical Design and Process Parameters,” ACM Transactions on Design Automation of Electronic Systems (TODAES), 24(4), June 2019
- 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), April 2019
- Florin Burcea, Andreas Herrmann, Bing Li, Helmut Graeb, “MEMS-IC Optimization Considering Design Parameters and Manufacturing Variation from both Mechanical and Electrical Side,” IEEE International Conference on Electronics, Circuits, and Systems (ICECS), 2018
- Ying Zhu, Bing Li, Tsung-Yi Ho, Qin Wang, Hailong Yao, Robert Wille, Ulf Schlichtmann, “Multi-Channel and Fault-Tolerant Control Multiplexing for Flow-Based Microfluidic Biochips,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2018
- Robert Wille, Bing Li, Rolf Drechsler, Ulf Schlichtmann, “Automatic Design of Microfluidic Devices,” Forum on Specification & Design Languages (FDL), 2018, Invited Paper
- 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), 2018, Invited Paper
- Yu-Kai Chuang, Kuan-Jung Chen, Kun-Lin Lin, Shao-Yun Fang, Bing Li, Ulf Schlichtmann, “PlanarONoC: Concurrent Placement and Routing Considering Crossing Minimization for Optical Networks-on-Chip,” ACM/IEEE Design Automation Conference (DAC), 2018
- Chunfeng Liu, Bing Li, Tsung-Yi Ho, Krishnendu Chakrabarty, Ulf Schlichtmann, “Design-for-Testability for Continuous-Flow Microfluidic Biochips,” ACM/IEEE Design Automation Conference (DAC), 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,” ACM/IEEE Design Automation Conference (DAC), 2018
- Chunfeng Liu, Bing Li, Bhargab B. Bhattacharya, Krishnendu Chakrabarty, Tsung-Yi Ho, Ulf Schlichtmann, “Test Generation for Microfluidic Fully Programmable Valve Arrays (FPVAs) with Heuristic Acceleration,” International Conference on IC Design and Technology, 2018, Invited Paper
- Fengxian Jiao, Sheqin Dong, Bei Yu, Bing Li, Ulf Schlichtmann, “Thermal-Aware Placement and Routing for 3D Optical Networks-on-Chips,” IEEE International Symposium on Circuits and Systems (ISCAS), 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), 2018
- Alessandro Bernardini, Chunfeng Liu, Bing Li, Ulf Schlichtmann, “Efficient Spanning-tree-based Test Pattern Generation for Programmable Microfluidic Devices,” Microelectronics Journal, 79, September 2018
- Tsun-Ming Tseng, Mengchu Li, Daniel Nestor Freitas, Travis McAuley, Bing Li, Tsung-Yi Ho, Ismail Emre Araci, Ulf Schlichtmann, “Columba 2.0: A Co-Layout Synthesis Tool for Continuous-Flow Microfluidic Biochips,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 37(8), August 2018
- 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), February 2018
- Bing Li, Masanori Hashimoto, Ulf Schlichtmann, “From Process Variations to Reliability: A Survey of Timing of Digital Circuits in the Nanometer Era,” IPSJ Transactions on System LSI Design Methodology (T-SLDM), February 2018, Invited Paper
- Bing Li, Ulf Schlichtmann, “Reliability-aware Synthesis and Fault Test of Fully Programmable Valve Arrays (FPVAs),” IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), 2017, Invited Paper
- 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), 2017
- Mengchu Li, Tsun-Ming Tseng, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann, “Component-Oriented High-Level Synthesis for Continuous-Flow Microfluidics Considering Hybrid-Scheduling,” ACM/IEEE Design Automation Conference (DAC), 2017
- Chunfeng Liu, Bing Li, Hailong Yao, Paul Pop, Tsung-Yi Ho, Ulf Schlichtmann, “Transport or Store? Synthesizing Flow-based Microfluidic Biochips using Distributed Channel Storage,” ACM/IEEE Design Automation Conference (DAC), 2017
- Chunfeng Liu, Bing Li, Bhargab B. Bhattacharya, Krishnendu Chakrabarty, Tsung-Yi Ho, Ulf Schlichtmann, “Testing Microfluidic Fully Programmable Valve Arrays (FPVAs),” Design, Automation and Test in Europe (DATE), 2017
- Qin Wang, Shiliang Zuo, Hailong Yao, Tsung-Yi Ho, Bing Li, Ulf Schlichtmann, Yici Cai, “Hamming-Distance-Based Valve-Switching Optimization for Control-Layer Multiplexing in Flow-Based Microfluidic Biochips,” IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2017
- Qin Wang, Yue Xu, Shiliang Zuo, Hailong Yao, Tsung-Yi Ho, Bing Li, Ulf Schlichtmann, Yici Cai, “Pressure-Aware Control Layer Optimization for Flow-Based Microfluidic Biochips,” IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), 11(6), December 2017
- Tsun-Ming Tseng, Bing Li, Ching-Feng Yeh, Hsiang-Chieh Jhan, Zuo-Min Tsai, Mark Po-Hung Lin, Ulf Schlichtmann, “An Efficient Two-Phase ILP-Based Algorithm for Precise CMOS RFIC Layout Generation,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 36(8), August 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), 2016
- Qin Wang, Zeyan Li, Haena Cheong, Oh-Sun Kwon, Hailong Yao, Tsung-Yi Ho, Kwanwoo Shin, Bing Li, Ulf Schlichtmann, Yici Cai, “Control-Fluidic CoDesign for Paper-Based Digital Microfluidic Biochips,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2016
- Robert Wille, Bing Li, Ulf Schlichtmann, Rolf Drechsler, “From Biochips to Quantum Circuits: Computer-Aided Design for Emerging Technologies,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2016, Invited Paper
- 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), 2016, Nominated for Best Paper Award
- Tsun-Ming Tseng, Bing Li, Ching-Feng Yeh, Hsiang-Chieh Jhan, Zuo-Min Tsai, Mark Po-Hung Lin, Ulf Schlichtmann, “Novel CMOS RFIC Layout Generation with Concurrent Device Placement and Fixed-Length Microstrip Routing,” ACM/IEEE Design Automation Conference (DAC), 2016
- Tsun-Ming Tseng, Mengchu Li, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann, “Columba: Co-Layout Synthesis for Continuous-Flow Microfluidic Biochips,” ACM/IEEE Design Automation Conference (DAC), 2016
- Grace Li Zhang, Alexandra Listl, Bing Li, Ulf Schlichtmann, “Effizienter Verzögerungstest zur Optimierung der Taktfrequenz einer Schaltung durch nach der Fertigung konfigurierbare Puffer,” edaWorkshop, 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), 2016
- Mengchu Li, Tsun-Ming Tseng, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann, “Sieve-valve-aware Synthesis of Flow-based Microfluidic Biochips Considering Specific Biological Execution Limitations,” Design, Automation and Test in Europe (DATE), 2016
- Ulf Schlichtmann, Masanori Hashimoto, Iris Hui-Ru Jiang, Bing Li, “Reliability, Adaptability and Flexibility in Timing: Buy a Life Insurance for Your Circuits,” IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2016, Invited Paper
- Tsun-Ming Tseng, Bing Li, Mengchu Li, Tsung-Yi Ho, Ulf Schlichtmann, “Reliability-aware Synthesis with Dynamic Device Mapping and Fluid Routing for Flow-based Microfluidic Biochips,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 35(12), December 2016
- Bing Li, Tsun-Ming Tseng, Tsung-Yi Ho, Ulf Schlichtmann, “Design Automation for Microfluidic Biochips Considering Efficiency and Reliability,” MikroSystemTechnik Kongress, 2015
- Tsun-Ming Tseng, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann, “Reliability-aware Synthesis for Flow-based Microfluidic Biochips by Dynamic-device Mapping,” ACM/IEEE Design Automation Conference (DAC), 2015
- Bing Li, Ulf Schlichtmann, “Evaluation of circuit performance and configuration reduction considering post-silicon clock skew tuning,” edaWorkshop, 2015
- Rohit Kumar, Bing Li, Yiren Shen, Ulf Schlichtmann, Jiang Hu, “Timing Verification for Adaptive Integrated Circuits,” Design, Automation and Test in Europe (DATE), 2015
- Tsun-Ming Tseng, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann, “Storage and Caching: Synthesis of Flow-based Microfluidic Biochips,” IEEE Design & Test (D&T), 32(6), December 2015
- Bing Li, Ulf Schlichtmann, “Statistical Timing Analysis and Criticality Computation for Circuits with Post-Silicon Clock Tuning Elements,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 34(11), November 2015
- Tsun-Ming Tseng, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann, “ILP-based Alleviation of Dense Meander Segments with Prioritized Shifting and Progressive Fixing in PCB Routing,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 34(6), June 2015
- Tsun-Ming Tseng, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann, “Post-Route Alleviation of Dense Meander Segments in High-Performance Printed Circuit Boards,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2013
- Tsun-Ming Tseng, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann, “Iterative Refinement of Dense Meander Segments in High-speed Printed Circuit Boards,” GMM/GI/ITG-Fachtagung Zuverlässigkeit und Entwurf (ZuE), 2013
- Tsun-Ming Tseng, Bing Li, Tsung-Yi Ho, Ulf Schlichtmann, “Post-Route Refinement for High-Frequency PCBs Considering Meander Segment Alleviation,” ACM Great Lake Symposium on VLSI (GLSVLSI), 2013
- Bing Li, Ning Chen, Yang Xu, Ulf Schlichtmann, “On Timing Model Extraction and Hierarchical Statistical Timing Analysis,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 32(3), March 2013
- Yang Xu, Bing Li, Ralph Hasholzner, Bernhard Rohfleisch, Christian Haubelt, Jürgen Teich, “Variation-Aware Leakage Power Model Extraction for System-Level Hierarchical Power Analysis,” Design, Automation and Test in Europe (DATE), 2012
- Bing Li, Ning Chen, Ulf Schlichtmann, “Statistical Timing Analysis for Latch-Controlled Circuits with Reduced Iterations and Graph Transformations,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 31(11), November 2012
- Ning Chen, Bing Li, Ulf Schlichtmann, “Iterative Timing Analysis Based on Nonlinear and Interdependent Flipflop Modelling,” IET Circuits, Devices & Systems, 6(5), September 2012
- Bing Li, Ning Chen, Ulf Schlichtmann, “Fast Statistical Timing Analysis for Circuits with Post-Silicon Tunable Clock Buffers,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2011
- Ning Chen, Bing Li, Ulf Schlichtmann, “Timing Modeling of Flipflops Considering Aging Effects,” International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2011
- Ning Chen, Bing Li, Ulf Schlichtmann, “Iterative Timing Analysis Considering Interdependency of Setup and Hold Times,” International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2011
- Bing Li, Ning Chen, Ulf Schlichtmann, “Fast Statistical Timing Analysis of Latch-Controlled Circuits for Arbitrary Clock Periods,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2010
- Ning Chen, Bing Li, Ulf Schlichtmann, “Sensitivity Based Parameter Reduction for Statistical Analysis of Circuit Performance,” IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2009
- Bing Li, Ning Chen, Ulf Schlichtmann, “Timing Model Extraction for Sequential Circuits Considering Process Variations,” IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2009
- Bing Li, Ning Chen, Manuel Schmidt, Walter Schneider, Ulf Schlichtmann, “On Hierarchical Statistical Static Timing Analysis,” IEEE Design, Automation and Test in Europe (DATE), 2009
- Christoph Knoth, Veit B. Kleeberger, Manuel Schmidt, Bing Li, Ulf Schlichtmann, “Transfer System Models of Logic Gates for Waveform-based Timing Analysis,” International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD), 2008
- Walter Schneider, Manuel Schmidt, Bing Li, Ulf Schlichtmann, “A New Bounding Technique for Handling Arbitrary Correlations in Path-Based SSTA,” International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2008
- Bing Li, Christoph Knoth, Manuel Schmidt, Walter Schneider, Ulf Schlichtmann, “Static Timing Model Extraction for Combinational Circuits,” International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2008
- Manuel Schmidt, Bing Li, Walter Schneider, Harald Kinzelbach, Ulf Schlichtmann, “Statistical Timing Analysis using Weibull Waveform Modeling,” International Symposium on Integrated Circuits (ISIC), 2007
- Walter Schneider, Bing Li, Manuel Schmidt, Ulf Schlichtmann, “A New Bounding Technique for Handling Arbitrary Correlations in Path-Based Statistical STA,” edaWorkshop, 2007