| 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 |
