2026
1. 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
2. Kangwei Xu, Bing Li, Ulf Schlichtmann, “Invited: LLM for EDA in Front-End Design: Challenges and Opportunities,” Design Automation Conference (DAC), 2026, special session
3. Sijie Fei, Grace Li Zhang, Bing Li, Ulf Schlichtmann, “OptINC: Optical In-Network-Computing for Scalable Distributed Learning,” International Symposium of EDA (ISEDA), 2026
4. 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
5. 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
6. 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
2025
7. 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
8. 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
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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
16. 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
17. 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
18. 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
19. 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
20. 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
2024
21. 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
22. 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
23. 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
24. 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
25. 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
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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), pp. 164-177, December 2024
32. 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), pp. 573-585, February 2024
2023
33. 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
34. 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
35. 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
36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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), pp. 2136-2148, July 2023
45. 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), pp. 3783-3790, June 2023
46. 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), pp. 1099-1112, April 2023
2022
47. 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
48. 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
49. 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
50. 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
51. 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
52. 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
53. 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), pp. 17-33, February 2023
54. 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, December 2022
55. 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), pp. 5016-5029, November 2022
56. 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), pp. 464-478, February 2022
2021
57. 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
58. 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
59. 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
60. 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
61. 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
62. 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
63. 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
64. 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
65. 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), pp. 2185-2198, August 2021
66. 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
67. 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
68. 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), pp. 115-128, January 2021
2020
69. 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
70. 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
71. 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
72. 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
73. 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
74. 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
75. 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
76. 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
77. 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), pp. 2530-2543, October 2020
78. 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), pp. 2489-2502, October 2020
79. 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), pp. 613-625, March 2020
2019
80. 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
81. 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
82. 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
83. 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
84. Alessandro Bernardini, Chunfeng Liu, Bing Li, Ulf Schlichtmann, “Fault Localization in Programmable Microfluidic Devices,” Design, Automation and Test in Europe (DATE), 2019
85. 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), pp. 43:1-43:24, June 2019
86. 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
2018
87. 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
88. 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
89. Robert Wille, Bing Li, Rolf Drechsler, Ulf Schlichtmann, “Automatic Design of Microfluidic Devices,” Forum on Specification & Design Languages (FDL), 2018, Invited Paper
90. 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
91. 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
92. 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
93. 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
94. 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
95. 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
96. 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
97. Alessandro Bernardini, Chunfeng Liu, Bing Li, Ulf Schlichtmann, “Efficient Spanning-tree-based Test Pattern Generation for Programmable Microfluidic Devices,” Microelectronics Journal, 79, pp. 38-45, September 2018
98. 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), pp. 1588-1601, August 2018
99. 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
100. 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
2017
101. 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
102. 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
103. 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
104. 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
105. 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
106. 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
107. 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), pp. 1488-1499, December 2017
108. 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), pp. 1313-1326, August 2017
2016
109. 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
110. 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
111. 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
112. 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
113. 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
114. 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
115. 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
116. 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
117. 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
118. 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
119. 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), pp. 1981-1994, December 2016
2015
120. Bing Li, Tsun-Ming Tseng, Tsung-Yi Ho, Ulf Schlichtmann, “Design Automation for Microfluidic Biochips Considering Efficiency and Reliability,” MikroSystemTechnik Kongress, 2015
121. 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
122. Bing Li, Ulf Schlichtmann, “Evaluation of circuit performance and configuration reduction considering post-silicon clock skew tuning,” edaWorkshop, 2015
123. Rohit Kumar, Bing Li, Yiren Shen, Ulf Schlichtmann, Jiang Hu, “Timing Verification for Adaptive Integrated Circuits,” Design, Automation and Test in Europe (DATE), 2015
124. 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), pp. 69-75, December 2015
125. 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), pp. 1784-1797, November 2015
126. 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), pp. 1000-1013, June 2015
2013
127. 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
128. 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
129. 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
130. 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), pp. 367-380, March 2013
2012
131. 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
132. 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), pp. 1670-1683, November 2012
133. Ning Chen, Bing Li, Ulf Schlichtmann, “Iterative Timing Analysis Based on Nonlinear and Interdependent Flipflop Modelling,” IET Circuits, Devices & Systems, 6(5), pp. 330-337, September 2012
2011
134. 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
135. 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
136. 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
2007-2010
137. 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
138. 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
139. 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
140. 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
141. 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
142. 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
143. 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
144. Manuel Schmidt, Bing Li, Walter Schneider, Harald Kinzelbach, Ulf Schlichtmann, “Statistical Timing Analysis using Weibull Waveform Modeling,” International Symposium on Integrated Circuits (ISIC), 2007
145. Walter Schneider, Bing Li, Manuel Schmidt, Ulf Schlichtmann, “A New Bounding Technique for Handling Arbitrary Correlations in Path-Based Statistical STA,” edaWorkshop, 2007
