耿浩

1. Yiwen Wu*, Yuyang Chen*, Shuo Yin, Nan Wang, Tao Wu, Xuming He, Hao Geng#, Jingyi Yu#, LVM-MO: A Large Vision Model Pioneer for Full-Chip Mask Optimization, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 22–25, 2025. (Best Paper Award Nomination),

2. Yuyang Chen*, Yiwen Wu*, Jingya Wang, Tao Wu, Xuming He, Jingyi Yu#, Hao Geng#, LLM-HD: Layout Language Model for Hotspot Detection with GDS Semantic Encoding, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024 (Best Paper Award Nomination),

3. Zhen Wang*, Hongquan He*, Tao Wu, Xuming He, Qi Sun, Cheng Zhuo, Bei Yu, Jingyi Yu#, Hao Geng#, LMLitho: A Large Vision Model-Driven Lithography Simulation Framework, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Munich, Oct. 26–30, 2025,

4. Donger Luo*, Tianyi Li*, Xinheng Li, Qi Sun, Cheng Zhuo, Bei Yu, Jingyi Yu, Hao Geng#, LLM-Augmented Multi-Modal Fusion for SoC Design Space Exploration, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Munich, Oct. 26–30, 2025,

5. Liuke Wang*, Shenshuo Yao*, Shihan Wang, Zhen Wang, Zicheng Huang, Jingyi Yu, Hao Geng#, When Semi-Supervised LVM Meets Frequency-Based Critical Layout Pattern Selection, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Munich, Oct. 26–30, 2025,

6. Donger Luo, Qi Sun, Xinheng Li, Cheng Zhuo, Bei Yu, Hao Geng#, From Flatland to Forest: Exploring Pareto-optimal Design through RTL Hierarchy Trees, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 22–25, 2025,

7. Kai Ma, Zhen Wang, Hongquan He, Qi Xu, Tinghuan Chen, Hao Geng#, LMM-IR: Large-Scale Netlist- Aware Multimodal Framework for Static IR-Drop Prediction, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 22–25, 2025,

8. Donger Luo*, Qi Sun*, Xinheng Li, Chen Bai, Bei Yu, Hao Geng#, Knowing The Spec to Explore The Design via Transformed Bayesian Optimization, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024,

9. Donger Luo, QI SUN, Qi Xu, Tinghuan Chen and Hao Geng#, Attention-Based EDA Tool Parameter Explorer: From Hybrid Parameters to Multi-QoR metrics, IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Valencia, Spain, Mar. 25–27, 2024,

10. Hongquan He, Guowen, Qi Sun Kuang, Hao Geng#, PoLM: Point Cloud and Large Pre-trained Model Catch Mixed-type Wafer Defect Pattern Recognition, IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Valencia, Spain, Mar. 25–27, 2024,

11. Hao Geng, Tinghuan Chen, Yuzhe Ma, Binwu Zhu, Bei Yu#, PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023, vol. 42, no. 01, pp. 178–189

12. Hao Geng, Yuzhe Ma, Qi Xu, Jin Miao, Subhendu Roy, Bei Yu#, High-Speed Adder Design Space Explo- ration via Graph Neural Processes, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022, vol. 41, no. 8, pp. 2657–2670

13. Hao Geng, Haoyu Yang, Lu Zhang, Fan Yang, Xuan Zeng, Bei Yu#, Hotspot Detection via Attention-based Deep Layout Metric Learning, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022, vol. 41, no. 8, pp. 2685–2698

14. Hao Geng, Wei Zhong, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu#, SRAF Insertion via Supervised Dictionary Learning, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020, vol. 39, no. 10, pp. 2849-2859 (ASPDAC Best Paper Award Nomination)

15. Hao Geng, Qi Xu, Tsung-Yi Ho, Bei Yu#, PPATuner: Pareto-driven Tool Parameter Auto-tuning in Physical Design via Gaussian Process Transfer Learning, ACM/IEEE Design Automation Conference (DAC), 2022, pp. 1237–1242

16. Hao Geng, Fan Yang, Xuan Zeng, Bei Yu#, When Wafer Failure Pattern Classification Meets Few-shot Learning and Self-Supervised Learning, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2021,

17. Qi Xu, Hao Geng#, Song Chen#, Bo Yuan, Cheng Zhuo, Yi Kang, Xiaoqing Wen#, GoodFloorplan: Graph Convolutional Network and Reinforcement Learning Based Floorplanning, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022, vol. 39, no. 10，pp. 3492 - 3502

18. Qi Xu*, Hao Geng*, Tianming Ni, Song Chen, Bei Yu, Xiaoqing Wen#, Fortune: A New Fault-Tolerance TSV Configuration in Router-based Redundancy Structure, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022, vol. 41, no. 10, pp. 3182–3187

19. Su Zheng, Hao Geng#, Chen Bai, Bei Yu#, Martin Wong#, Boosting VLSI Design Flow Parameter Tuning with Random Embedding and Multi-objective Trust-region Bayesian Optimization, ACM Transactions on Design Automation of Electronic Systems (TODAES) , 2023,