| 2026 | ASPDAC | CausalTuner: Will Causality Help High-Dimensional EDA Tool Parameter Tuning. | Ziyang Yu, Peng Xu, Su Zheng, Siyuan Xu, Hao Geng, Bei Yu, Martin D. F. Wong |
| 2026 | ASPDAC | Scalarium: A Unified Scala-based Co-Simulation Framework for Agile Chip Development. | Yuefeng Zhang, Cheng Zhang, Wenkai Zhou, Binzhe Yuan, Junsheng Chen, Xiangyu Zhang, Hao Geng, Xin Lou |
| 2026 | DATE | EDA Flow Matters: Stage-Aware Parameter Optimization of Tool Chain. | Xinheng Li, Donger Luo, Peng Xu, Ziyang Yu, Qi Sun, Tinghuan Chen, Bei Yu, Hao Geng |
| 2026 | DATE | No Pixel, More Efficient: Multimodal Framework for Sub-nm Mask Process Correction. | Kai Ma, Tianyi Li, Jiaqi Liu, Jingyi Yu, Hao Geng |
| 2026 | DATE | RATuner: Retrieval-Augmented VLSI Flow Design Parameter Tuning Framework. | Peng Xu, Ziyang Yu, Yuan Pu, Xinyun Zhang, Donger Luo, Hao Geng, Siyuan Xu, Tsung-Yi Ho, Bei Yu |
| 2025 | DAC | Swift or Exact? Boosting Efficient Microarchitecture DSE via Multi-fidelity Partial Order Prediction. | Hang Liu, Hao Geng, Zhuolun He, Qi Sun, Cheng Zhuo |
| 2025 | DAC | From Flatland to Forest: Exploring Pareto-optimal Design through RTL Hierarchy Trees. | Donger Luo, Qi Sun, Xingheng Li, Cheng Zhuo, Bei Yu, Hao Geng |
| 2025 | DAC | LMM-IR: Large-Scale Netlist-Aware Multimodal Framework for Static IR-Drop Prediction. | Kai Ma, Zhen Wang, Hongquan He, Qi Xu, Tinghuan Chen, Hao Geng |
| 2025 | DAC | LVM-MO: A Large Vision Model Pioneer on Full-Chip Mask Optimization. | Yiwen Wu, Yuyang Chen, Shuo Yin, Nan Wang, Tao Wu, Xuming He, Hao Geng, Jingyi Yu |
| 2025 | DATE | LLM-SRAF: Sub-Resolution Assist Feature Generation Using Large Language Model. | Tianyi Li, Zhexin Tang, Tao Wu, Bei Yu, Jingyi Yu, Hao Geng |
| 2025 | ICASSP | Sparse-View X-ray 3D Reconstruction using Hybrid Representation Neural Attenuation Fields. | Yanping Fu, Hao Geng, Zhuangzhuang Zhao, Shaojie Zhang, Haifeng Zhao |
| 2025 | ICASSP | Single-View Clothed Human Reconstruction using Symmetric Feature. | Yanping Fu, Zhuangzhuang Zhao, Hao Geng, Haifeng Zhao |
| 2025 | ICCAD | FabThink: A Wafer Analysis Multimodal LLM via Chain-of-Thought-Driven Retrieval Augmentation. | Yuqi Jiang, Qian Jin, Xudong Lu, Jinyuan Deng, Hao Geng, Hanming Wu, Qi Sun, Cheng Zhuo |
| 2025 | ICCAD | LLM-Augmented Multi-Modal Fusion for SoC Design Space Exploration. | Donger Luo, Tianyi Li, Xinheng Li, Qi Sun, Cheng Zhuo, Bei Yu, Jingyi Yu, Hao Geng |
| 2025 | ICCAD | LMLitho: A Large Vision Model-Driven Lithography Simulation Framework. | Zhen Wang, Hongquan He, Tao Wu, Xuming He, Qi Sun, Cheng Zhuo, Bei Yu, Jingyi Yu, Hao Geng |
| 2025 | ICCAD | When Semi-Supervised LVM Meets Frequency-Based Critical Layout Pattern Selection. | Liuke Wang, Shenshuo Yao, Shihan Wang, Zhen Wang, Zicheng Huang, Jingyi Yu, Hao Geng |
| 2024 | DAC | Efficient Bilevel Source Mask Optimization. | Guojin Chen, Hongquan He, Peng Xu, Hao Geng, Bei Yu |
| 2024 | DAC | LLM-HD: Layout Language Model for Hotspot Detection with GDS Semantic Encoding. | Yuyang Chen, Yiwen Wu, Jingya Wang, Tao Wu, Xuming He, Jingyi Yu, Hao Geng |
| 2024 | DAC | Knowing The Spec to Explore The Design via Transformed Bayesian Optimization. | Donger Luo, Qi Sun, Xinheng Li, Chen Bai, Bei Yu, Hao Geng |
| 2024 | DATE | PaLM: Point Cloud and Large Pre-trained Model Catch Mixed-type Wafer Defect Pattern Recognition. | Hongquan He, Guowen Kuang, Qi Sun, Hao Geng |
| 2024 | DATE | Attention-Based EDA Tool Parameter Explorer: From Hybrid Parameters to Multi-QoR metrics. | Donger Luo, Qi Sun, Qi Xu, Tinghuan Chen, Hao Geng |
| 2024 | DATE | Miracle: Multi-Action Reinforcement Learning-Based Chip Floorplanning Reasoner. | Bo Yang, Qi Xu, Hao Geng, Song Chen, Yi Kang |
| 2024 | ICASSP | Real-Oriented Object Detection Driven by Intelligent Stockbreeding. | Guowen Kuang, Xin Lu, Jingran Xia, Hao Geng, Xu Wang, Jinfeng Yang |
| 2024 | ICCAD | Is Vanilla Bayesian Optimization Enough for High-Dimensional Architecture Design Optimization? | Yuanhang Gao, Donger Luo, Chen Bai, Bei Yu, Hao Geng, Qi Sun, Cheng Zhuo |
| 2024 | ICCAD | RankTuner: When Design Tool Parameter Tuning Meets Preference Bayesian Optimization. | Peng Xu, Su Zheng, Yuyang Ye, Chen Bai, Siyuan Xu, Hao Geng, Tsung-Yi Ho, Bei Yu |
| 2024 | WWW | Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. | Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang |
| 2023 | ASPDAC | Mixed-Type Wafer Failure Pattern Recognition. | Hao Geng, Qi Sun, Tinghuan Chen, Qi Xu, Tsung-Yi Ho, Bei Yu |
| 2022 | ASPDAC | Techniques for CAD Tool Parameter Auto-tuning in Physical Synthesis: A Survey (Invited Paper). | Hao Geng, Tinghuan Chen, Qi Sun, Bei Yu |
| 2022 | CIKM | Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction. | Hao Geng, Deqing Wang, Fuzhen Zhuang, Xuehua Ming, Chenguang Du, Ting Jiang, Haolong Guo, Rui Liu |
| 2022 | DAC | PPATuner: pareto-driven tool parameter auto-tuning in physical design via gaussian process transfer learning. | Hao Geng, Qi Xu, Tsung-Yi Ho, Bei Yu |
| 2022 | DAC | GTuner: tuning DNN computations on GPU via graph attention network. | Qi Sun, Xinyun Zhang, Hao Geng, Yuxuan Zhao, Yang Bai, Haisheng Zheng, Bei Yu |
| 2021 | DATE | Deep Neural Network Hardware Deployment Optimization via Advanced Active Learning. | Qi Sun, Chen Bai, Hao Geng, Bei Yu |
| 2021 | DATE | Reliability-Driven Neuromorphic Computing Systems Design. | Qi Xu, Junpeng Wang, Hao Geng, Song Chen, Xiaoqing Wen |
| 2021 | ICCAD | When Wafer Failure Pattern Classification Meets Few-shot Learning and Self-Supervised Learning. | Hao Geng, Fan Yang, Xuan Zeng, Bei Yu |
| 2021 | ICCV | Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning. | Qi Sun, Chen Bai, Tinghuan Chen, Hao Geng, Xinyun Zhang, Yang Bai, Bei Yu |
| 2020 | ASPDAC | VLSI Mask Optimization: From Shallow To Deep Learning. | Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu |
| 2020 | ICCAD | Hotspot Detection via Attention-based Deep Layout Metric Learning. | Hao Geng, Haoyu Yang, Lu Zhang, Jin Miao, Fan Yang, Xuan Zeng, Bei Yu |
| 2019 | ASPDAC | SRAF insertion via supervised dictionary learning. | Hao Geng, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu |
| 2019 | DAC | Sensor Drift Calibration via Spatial Correlation Model in Smart Building. | Tinghuan Chen, Bingqing Lin, Hao Geng, Bei Yu |
| 2019 | DAC | Faster Region-based Hotspot Detection. | Ran Chen, Wei Zhong, Haoyu Yang, Hao Geng, Xuan Zeng, Bei Yu |
| 2018 | ANT | Research on Early Warning Method of Overhead Transmission Line Damage Caused by Typhoon Disaster. | Hao Geng, Yong Huang, Shiwen Yu, Jufang Yu, Hui Hou, Zewei Mao |
| 2018 | ANT | Simulation Research of Offshore Wind Farm VSC-HVDC Three-Level Converters for Grid Integration. | Zewei Mao, Xianglian Xu, Jialiang Li, Shiwen Yu, Hao Geng |
| 2018 | ANT | Study on Risk Assessment of the Electric Power Tower and Pole Damage in Power System Under Typhoon Disaster. | Shiwen Yu, Hao Wu, Hao Geng, Jufang Yu, Shuai Mao, Hui Hou, Zewei Mao |
| 2017 | ANT | Review on Risk Assessment of Power System. | Shiwen Yu, Hui Hou, Chengzhi Wang, Hao Geng, Hao Fan |
| 2014 | IGARSS | Compressed sensing based remote sensing image reconstruction using an auxiliary image as priors. | Hao Geng, Peng Liu, Lizhe Wang, Lajiao Chen |