| 2026 | AAAI | KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits. | Peng Xu, Yapeng Li, Tinghuan Chen, Tsung-Yi Ho, Bei Yu |
| 2026 | ACL | Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis. | Zehua Pei, Hui-Ling Zhen, Lancheng Zou, Xianzhi Yu, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan, Bei Yu |
| 2026 | ACL | TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization. | Sitong Wu, Haoru Tan, Xichen Zhang, Bin Xia, Wenhu Zhang, Xiaojuan Qi, Bei Yu, Jiaya Jia |
| 2026 | ACL | PROBE: PROcess-Based BEnchmark for Hallucination Detection. | Yu Zhang, Peter Belcak, Shizhe Diao, Yonggan Fu, Shaona Ghosh, Morteza Mardani, Eileen Margaret Peters Long, Bei Yu, Pavlo Molchanov |
| 2026 | ASPDAC | DCLOG: Don't Cares-based Logic Optimization using Pre-training Graph Neural Networks. | Rongliang Fu, Libo Shen, Ziyi Wang, Zhengxing Lei, Zixiao Wang, Junying Huang, Bei Yu, Tsung-Yi Ho |
| 2026 | ASPDAC | BEAM: Bidirectional MEEF-Driven Mask Optimization for Curvilinear Photonic Design. | Xiaoxiao Liang, Yang Luo, Bei Yu, Yuzhe Ma |
| 2026 | ASPDAC | LLM-Assisted Circuit Verification: A Comprehensive Survey. | Hongduo Liu, Yuntao Lu, Mingjun Wang, Xufeng Yao, Bei Yu |
| 2026 | ASPDAC | Partitioning-free 3D-IC Floorplanning. | Shuo Ren, Zhen Zhuang, Rongliang Fu, Leilei Jin, Libo Shen, Bei Yu, Tsung-Yi Ho |
| 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 | Video-based Visible-Event Cross-modal Person Re-identification for Edge AI Surveillance Systems. | Xinyun Zhang, Zixiao Wang, Yurui Kuang, Bei Yu |
| 2026 | ASPDAC | CombRewriter: Enabling Combinational Logic Simplification in MLIR-Based Hardware Compiler. | Haisheng Zheng, Zhuolun He, Shuo Yin, Yuzhe Ma, Bei Yu |
| 2026 | ASPDAC | DPO-3D: Differentiable Power Delivery Network Optimization via Flexible Modeling for Routability and IR-Drop Tradeoff in Face-to-Face 3D ICs. | Zhen Zhuang, Zheng Yang, Yuxuan Zhao, Jiawei Hu, Bei Yu, Sung Kyu Lim, Tsung-Yi Ho |
| 2026 | DATE | Think with Self-Decoupling and Self-Verification: Automated RTL Design with Backtrack-ToT. | Zhiteng Chao, Yonghao Wang, Xinyu Zhang, Jiaxin Zhou, Tenghui Hua, Husheng Han, Tianmeng Yang, Jianan Mu, Bei Yu, Rui Zhang, Jing Ye, Huawei Li |
| 2026 | DATE | MAEDA: An LLM-Powered Multi-Agent Evaluation Framework for EDA Tool Documentation QA. | Zhenghao Chen, Yuan Pu, Hairuo Han, Yuntao Nie, Jiajun Qin, Yuhan Qin, Tairu Qiu, Zhuolun He, Jianwang Zhai, Bei Yu, Kang Zhao |
| 2026 | DATE | IP-Matcher: An Efficient One-to-Many Matching Framework for Analog Circuit Design and Reusing. | Shixin Chen, Peng Xu, Yapeng Li, Tinghuan Chen, Bei Yu |
| 2026 | DATE | Smart-PCLib: A LLM-based Multi-Agent Framework for Automated PCB Component Library Generation. | Zhaohai Di, Jindong Tu, Zhiyuan He, Yuan Pu, Jiawei Liu, Chong Tong, Tsung-Yi Ho, Bei Yu, Tinghuan Chen |
| 2026 | DATE | eLogic: An E-Graph-based Logic Rewriting Framework for Majority-Inverter Graphs. | Rongliang Fu, Wei Xuan, Shuo Yin, Guangyu Hu, Chen Chen, Hongce Zhang, Bei Yu, Tsung-Yi Ho |
| 2026 | DATE | PCB-Migrator: Automated PCB PnR Migration. | Yaohui Han, Beichen Li, Rongliang Fu, Qunsong Ye, Zhiyuan Lu, Junchen Liu, Bei Yu, Tsung-Yi Ho, Tinghuan Chen |
| 2026 | DATE | Lithography Hotspot Detection for Complex Non-Manhattan Layouts via Graph Neural Network. | Bohao Li, Ranran Liu, Yumeng Liu, Cong Jiang, Kang Liu, Bei Yu, Kun Ren, Qi Sun, Cheng Zhuo |
| 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 | Submodular Maximization-inspired Adaptive Routing Bend Space Planning. | Siting Liu, Peng Xu, Peiyu Liao, Keren Zhu, Yibo Lin, Bei Yu |
| 2026 | DATE | FLAME: A Framework Exploring Execution Strategies for Multi-Cycle Operations in CGRA. | Jiajun Qin, Cheng Tan, Ruihong Yin, Tianhua Xia, Sai Qian Zhang, Bei Yu |
| 2026 | DATE | HPPlacer: A High-Precision Slack-Aware Global Placement Engine. | Qinggong Shen, Chaoli Zhang, Haoyang Xu, Zhiwen Yu, Bin Guo, Yuxuan Zhao, Bei Yu, Tsung-Yi Ho, Xing Huang |
| 2026 | DATE | FastRW: An Efficient Random Walk Method for Steady-State Thermal Analysis. | Zixiao Wang, Tianshu Hou, Chenghan Wang, Zhen Zhuang, Tsung-Yi Ho, Farzan Farnia, Bei Yu |
| 2026 | DATE | DiffResist: Physics-Constrained Diffusion for Photoresist Modeling. | Zixiao Wang, Jieya Zhou, Xinyun Zhang, Shoubo Hu, Farzan Farnia, Bei Yu |
| 2026 | DATE | Node2Node: Node Adaptation with Transformer for Cross-Node Hotspot Detection. | Wenbo Xu, Silin Chen, Yibo Huang, Xinyun Zhang, Zixiao Wang, Bei Yu, Ningmu Zou |
| 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 |
| 2026 | DATE | Scalable Second-Order Optimizer for Full-Chip Inverse Lithography Techniques. | Su Zheng, Ziyang Yu, Bei Yu, Martin D. F. Wong |
| 2026 | DATE | IncreMacro-3D: Incremental Macro Placement for Face-to-Face Stacked Memory-on-Logic 3D ICs. | Lancheng Zou, Sing Sen Ye, Shuo Yin, Yuan Pu, Jiaxi Jiang, Siting Liu, Yuxuan Zhao, Bei Yu |
| 2026 | KDD | DiLA: Enhancing LLM Tool Learning with Differential Logic Layer. | Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu |
| 2025 | AAAI | Intelligent OPC Engineer Assistant for Semiconductor Manufacturing. | Guojin Chen, Haoyu Yang, Bei Yu, Haoxing Ren |
| 2025 | AAAI | FlexPose: Pose Distribution Adaptation with Limited Guidance. | Zixiao Wang, Junwu Weng, Mengyuan Liu, Bei Yu |
| 2025 | ACL | Efficient OpAmp Adaptation for Zoom Attention to Golden Contexts. | Haoyuan Wu, Rui Ming, Haisheng Zheng, Zhuolun He, Bei Yu |
| 2025 | ASPDAC | PCBAgent: An Agent-based Framework for High-Density Printed Circuit Board Placement. | Lin Chen, Ran Chen, Shoubo Hu, Xufeng Yao, Zhentao Tang, Shixiong Kai, Siyuan Xu, Mingxuan Yuan, Jianye Hao, Bei Yu, Jiang Xu |
| 2025 | ASPDAC | The Survey of 2.5D Integrated Architecture: An EDA perspective. | Shixin Chen, Hengyuan Zhang, Zichao Ling, Jianwang Zhai, Bei Yu |
| 2025 | ASPDAC | FTAFP: A Feedthrough-Aware Floorplanner for Hierarchical Design of Large-Scale SoCs. | Zirui Li, Kanglin Tian, Jianwang Zhai, Zixuan Li, Shixiong Kai, Siyuan Xu, Bei Yu, Kang Zhao |
| 2025 | ASPDAC | ThePlace: Thermal-Aware Placement With Operator Learning-Based Ultra-Fast Simulator. | Xinfei Liu, Siting Liu, Bei Yu, Song Chen, Qi Xu |
| 2025 | CVPR | Generative Video Propagation. | Shaoteng Liu, Tianyu Wang, Jui-Hsien Wang, Qing Liu, Zhifei Zhang, Joon-Young Lee, Yijun Li, Bei Yu, Zhe Lin, Soo Ye Kim, Jiaya Jia |
| 2025 | CVPR | DreamOmni: Unified Image Generation and Editing. | Bin Xia, Yuechen Zhang, Jingyao Li, Chengyao Wang, Yitong Wang, Xinglong Wu, Bei Yu, Jiaya Jia |
| 2025 | CVPR | VisionZip: Longer is Better but Not Necessary in Vision Language Models. | Senqiao Yang, Yukang Chen, Zhuotao Tian, Chengyao Wang, Jingyao Li, Bei Yu, Jiaya Jia |
| 2025 | DAC | A Systematic Approach for Multi-objective Double-side Clock Tree Synthesis. | Xun Jiang, Haoran Lu, Yuxuan Zhao, Jiarui Wang, Zizheng Guo, Heng Wu, Bei Yu, Sung Kyu Lim, Runsheng Wang, Ru Huang, Yibo Lin |
| 2025 | DAC | LLMShare: Optimizing LLM Inference Serving with Hardware Architecture Exploration. | Hongduo Liu, Chen Bai, Peng Xu, Lihao Yin, Xianzhi Yu, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu |
| 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 | MOSS: Multi-Modal Representation Learning on Sequential Circuits. | Mingjun Wang, Bin Sun, Jianan Mu, Feng Gu, Boyu Han, Tianmeng Yang, Xinyu Zhang, Silin Liu, Yihan Wen, Hui Wang, Jun Gao, Zhiteng Chao, Husheng Han, Zizhen Liu, Shengwen Liang, Jing Ye, Bei Yu, Xiaowei Li, Huawei Li |
| 2025 | DAC | DSPlacer: DSP Placement for FPGA-based CNN Accelerator. | Baohui Xie, Xinrui Zhu, Zhiyuan Lu, Yuan Pu, Tongkai Wu, Xiaofeng Zou, Bei Yu, Tinghuan Chen |
| 2025 | DAC | Rank-based Multi-objective Approximate Logic Synthesis via Monte Carlo Tree Search. | Yuyang Ye, Xiangfei Hu, Yuchen Liu, Peng Xu, Yu Gong, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi |
| 2025 | DAC | SDM-PEB: Spatial-Depthwise Mamba for Enhanced Post-Exposure Bake Simulation. | Ziyang Yu, Peng Xu, Zixiao Wang, Binwu Zhu, Qipan Wang, Yibo Lin, Runsheng Wang, Bei Yu, Martin D. F. Wong |
| 2025 | DAC | 3D-Flow: Flow-based Standard Cell Legalization for 3D ICs. | Yuxuan Zhao, Peiyu Liao, Bei Yu |
| 2025 | DAC | Curvilinear Optical Proximity Correction via Cardinal Spline. | Su Zheng, Xiaoxiao Liang, Ziyang Yu, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2025 | DATE | IR-Fusion: A Fusion Framework for Static IR Drop Analysis Combining Numerical Solution and Machine Learning. | Feng Guo, Jianwang Zhai, Jingyu Jia, Jiawei Liu, Kang Zhao, Bei Yu, Chuan Shi |
| 2025 | DATE | Timing-Driven Approximate Logic Synthesis Based on Double-Chase Grey Wolf Optimizer. | Xiangfei Hu, Yuyang Ye, Tinghuan Chen, Hao Yan, Bei 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 | DATE | WideGate: Beyond Directed Acyclic Graph Learning in Subcircuit Boundary Prediction. | Jiawei Liu, Zhiyan Liu, Xun He, Jianwang Zhai, Zhengyuan Shi, Qiang Xu, Bei Yu, Chuan Shi |
| 2025 | DATE | iRw: An Intelligent Rewriting. | Haisheng Zheng, Haoyuan Wu, Zhuolun He, Yuzhe Ma, Bei Yu |
| 2025 | EMNLP | Enhancing LLM Knowledge Learning through Generalization. | Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao, Jiaya Jia |
| 2025 | ICCAD | DiffCCD: Differentiable Concurrent Clock and Data Optimization. | Yuhao Ji, Yuntao Lu, Zuodong Zhang, Zizheng Guo, Yibo Lin, Bei Yu |
| 2025 | ICCAD | ChronoTE: Crosstalk-Aware Timing Estimation for Routing Optimization via Edge-Enhanced GNNs. | Leilei Jin, Rongliang Fu, Zhen Zhuang, Liang Xiao, Fangzhou Liu, Bei Yu, Tsung-Yi Ho |
| 2025 | ICCAD | Ultrafast Density Gradient Accumulation in 3D Analytical Placement with Divergence Theorem. | Peiyu Liao, Yuxuan Zhao, Siting Liu, Bei Yu |
| 2025 | ICCAD | MMPack: Multi-Mask Co-Design for Ultra-Large Wafer-Scale Package Integration. | Shanyi Li, Zhen Zhuang, Siyuan Liang, Bei Yu, Tsung-Yi Ho |
| 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 | VIRTUAL: Vector-based Dynamic Power Estimation via Decoupled Multi-Modality Learning. | Yuntao Lu, Mingjun Wang, Yihan Wen, Boyu Han, Jianan Mu, Huawei Li, Bei Yu |
| 2025 | ICCAD | MM-GRADE: A Multi-Modal EDA Tool Documentation QA Framework Leveraging Retrieval Augmented Generation. | Yuan Pu, Zhuolun He, Shutong Lin, Jiajun Qin, Xinyun Zhang, Hairuo Han, Haisheng Zheng, Yuqi Jiang, Cheng Zhuo, Qi Sun, David Z. Pan, Bei Yu |
| 2025 | ICCAD | GPU Acceleration for Versatile Buffer Insertion. | Yuan Pu, Yuhao Ji, Siying Yu, Zuodong Zhang, Zizheng Guo, Zhuolun He, Yibo Lin, David Z. Pan, Bei Yu |
| 2025 | ICCAD | RSizing: Robust Bayesian Optimization for Analog Circuit Sizing Under Process Variations. | Jindong Tu, Yapeng Li, Peng Xu, Tuo Li, Guoqing Li, Zushuai Xie, Bei Yu, Tinghuan Chen |
| 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 | NUA-Timer: Pre-Synthesis Timing Prediction Under Non-Uniform Input Arrival Times. | Ziyi Wang, Fangzhou Liu, Tsung-Yi Ho, David Z. Pan, Bei Yu |
| 2025 | ICCAD | G-Contour: GPU Accelerated Contour Tracing For Large-Scale Layouts. | Shuo Yin, Jiahao Xu, Jiaxi Jiang, Mingjun Li, Yuzhe Ma, Tsung-Yi Ho, Bei Yu |
| 2025 | ICCAD | H3D: Heterogeneous Resources Aware Global Router for Face-to-Face Bonded 3D ICs. | Yuxuan Zhao, Feng Gu, Siting Liu, Peiyu Liao, Bei Yu |
| 2025 | ICCV | Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma? | Tianyuan Qu, Longxiang Tang, Bohao Peng, Senqiao Yang, Bei Yu, Jiaya Jia |
| 2025 | ICCV | On the Distributed Evaluation of Generative Models. | Zixiao Wang, Farzan Farnia, Zhenghao Lin, Yunheng Shen, Bei Yu |
| 2025 | ICCV | Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code. | Sitong Wu, Haoru Tan, Yukang Chen, Shaofeng Zhang, Jingyao Li, Bei Yu, Xiaojuan Qi, Jiaya Jia |
| 2025 | ICCV | Learnable Feature Patches and Vectors for Boosting Low-Light Image Enhancement Without External Knowledge. | Xiaogang Xu, Jiafei Wu, Qingsen Yan, Jiequan Cui, Richang Hong, Bei Yu |
| 2025 | ICLR | Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment. | Haoyuan Wu, Haisheng Zheng, Yuan Pu, Bei Yu |
| 2025 | ICML | Bridging Layout and RTL: Knowledge Distillation based Timing Prediction. | Mingjun Wang, Yihan Wen, Bin Sun, Jianan Mu, Juan Li, Xiaoyi Wang, Jing Justin Ye, Bei Yu, Huawei Li |
| 2025 | ICML | TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization. | Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao, Jiaya Jia |
| 2025 | IJCAI | Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition. | Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu |
| 2025 | NAACL | Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation. | Haoyuan Wu, Haisheng Zheng, Zhuolun He, Bei Yu |
| 2024 | AAAI | Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning. | Chen Bai, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2024 | AAAI | p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models. | Haoyuan Wu, Xinyun Zhang, Peng Xu, Peiyu Liao, Xufeng Yao, Bei Yu |
| 2024 | AAAI | Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process. | Xufeng Yao, Fanbin Lu, Yuechen Zhang, Xinyun Zhang, Wenqian Zhao, Bei Yu |
| 2024 | ASPDAC | SoC-Tuner: An Importance-guided Exploration Framework for DNN-targeting SoC Design. | Shixin Chen, Su Zheng, Chen Bai, Wenqian Zhao, Shuo Yin, Yang Bai, Bei Yu |
| 2024 | ASPDAC | iEDA: An Open-source infrastructure of EDA. | Xingquan Li, Zengrong Huang, Simin Tao, Zhipeng Huang, Chunan Zhuang, Hao Wang, Yifan Li, Yihang Qiu, Guojie Luo, Huawei Li, Haihua Shen, Mingyu Chen, Dongbo Bu, Wenxing Zhu, Ye Cai, Xiaoming Xiong, Ying Jiang, Yi Heng, Peng Zhang, Bei Yu, Biwei Xie, Yungang Bao |
| 2024 | ASPDAC | iPD: An Open-source intelligent Physical Design Toolchain. | Xingquan Li, Simin Tao, Shijian Chen, Zhisheng Zeng, Zhipeng Huang, Hongxi Wu, Weiguo Li, Zengrong Huang, Liwei Ni, Xueyan Zhao, He Liu, Shuaiying Long, Ruizhi Liu, Xiaoze Lin, Bo Yang, Fuxing Huang, Zonglin Yang, Yihang Qiu, Zheqing Shao, Jikang Liu, Yuyao Liang, Biwei Xie, Yungang Bao, Bei Yu |
| 2024 | ASPDAC | Performance-Driven Analog Layout Automation: Current Status and Future Directions (Invited Paper). | Peng Xu, Jintao Li, Tsung-Yi Ho, Bei Yu, Keren Zhu |
| 2024 | ASPDAC | V-GR: 3D Global Routing with Via Minimization and Multi-Strategy Rip-up and Rerouting. | Ping Zhang, Pengju Yao, Xingquan Li, Bei Yu, Wenxing Zhu |
| 2024 | ASPDAC | LSTP: A Logic Synthesis Timing Predictor. | Haisheng Zheng, Zhuolun He, Fangzhou Liu, Zehua Pei, Bei Yu |
| 2024 | CVPR | Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. | Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang |
| 2024 | DAC | Unleashing the Potential of AQFP Logic Placement via Entanglement Entropy and Projection. | Yinuo Bai, Enxin Yi, Wei W. Xing, Bei Yu, Zhou Jin |
| 2024 | DAC | Efficient Bilevel Source Mask Optimization. | Guojin Chen, Hongquan He, Peng Xu, Hao Geng, Bei Yu |
| 2024 | DAC | PDRC: Package Design Rule Checking via GPU-Accelerated Geometric Intersection Algorithms for Non-Manhattan Geometry. | Jiaxi Jiang, Lancheng Zou, Wenqian Zhao, Zhuolun He, Tinghuan Chen, Bei Yu |
| 2024 | DAC | G-kway: Multilevel GPU-Accelerated k-way Graph Partitioner. | Wan-Luan Lee, Dian-Lun Lin, Tsung-Wei Huang, Shui Jiang, Tsung-Yi Ho, Yibo Lin, Bei Yu |
| 2024 | DAC | Toward Controllable Hierarchical Clock Tree Synthesis with Skew-Latency-Load Tree. | Weiguo Li, Zhipeng Huang, Bei Yu, Wenxing Zhu, Xingquan Li |
| 2024 | DAC | CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning. | Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma |
| 2024 | DAC | WinoGen: A Highly Configurable Winograd Convolution IP Generator for Efficient CNN Acceleration on FPGA. | Mingjun Li, Pengjia Li, Shuo Yin, Shixin Chen, Beichen Li, Chong Tong, Jianlei Yang, Tinghuan Chen, Bei Yu |
| 2024 | DAC | NeuroSelect: Learning to Select Clauses in SAT Solvers. | Hongduo Liu, Peng Xu, Yuan Pu, Lihao Yin, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu |
| 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 | DAC | Lesyn: Placement-aware Logic Resynthesis for Non-Integer Multiple-Cell-Height Designs. | Yuan Pu, Fangzhou Liu, Yu Zhang, Zhuolun He, Yibo Lin, Kai-Yuan Chao, Bei Yu |
| 2024 | DAC | GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration. | Tong Qiao, Jianlei Yang, Yingjie Qi, Ao Zhou, Chen Bai, Bei Yu, Weisheng Zhao, Chunming Hu |
| 2024 | DAC | Efficient ILT via Multigrid-Schwartz Method. | Shuyuan Sun, Fan Yang, Bei Yu, Li Shang, Dian Zhou, Xuan Zeng |
| 2024 | DAC | ChatPattern: Layout Pattern Customization via Natural Language. | Zixiao Wang, Yunheng Shen, Xufeng Yao, Wenqian Zhao, Yang Bai, Farzan Farnia, Bei Yu |
| 2024 | DAC | Performance-driven Analog Routing via Heterogeneous 3DGNN and Potential Relaxation. | Peng Xu, Guojin Chen, Keren Zhu, Tinghuan Chen, Tsung-Yi Ho, Bei Yu |
| 2024 | DAC | Fracturing-aware Curvilinear ILT via Circular E-beam Mask Writer. | Xinyun Zhang, Su Zheng, Guojin Chen, Binwu Zhu, Hong Xu, Bei Yu |
| 2024 | DAC | Disentangle, Align and Generalize: Learning A Timing Predictor from Different Technology Nodes. | Xinyun Zhang, Binwu Zhu, Fangzhou Liu, Ziyi Wang, Peng Xu, Hong Xu, Bei Yu |
| 2024 | DAC | EMOGen: Enhancing Mask Optimization via Pattern Generation. | Su Zheng, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2024 | DATE | Parallel Grbner Basis Rewriting and Memory Optimization for Efficient Multiplier Verification. | Hongduo Liu, Peiyu Liao, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu |
| 2024 | DATE | CBTune: Contextual Bandit Tuning for Logic Synthesis. | Fangzhou Liu, Zehua Pei, Ziyang Yu, Haisheng Zheng, Zhuolun He, Tinghuan Chen, Bei Yu |
| 2024 | EMNLP | Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks. | Haoyuan Wu, Haisheng Zheng, Zhuolun He, Bei Yu |
| 2024 | ICCAD | Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA. | Yuan Pu, Zhuolun He, Tairu Qiu, Haoyuan Wu, Bei Yu |
| 2024 | ICCAD | PolarGate: Breaking the Functionality Representation Bottleneck of And-Inverter Graph Neural Network. | Jiawei Liu, Jianwang Zhai, Mingyu Zhao, Zhe Lin, Bei Yu, Chuan Shi |
| 2024 | ICCAD | DiffSAT: Differential MaxSAT Layer for SAT Solving. | Yu Zhang, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu |
| 2024 | ICCAD | An Agile Framework for Efficient LLM Accelerator Development and Model Inference. | Lvcheng Chen, Ying Wu, Chenyi Wen, Shizhang Wang, Li Zhang, Bei Yu, Qi Sun, Cheng Zhuo |
| 2024 | ICCAD | Differentiable Edge-based OPC. | Guojin Chen, Haoyu Yang, Haoxing Mark Ren, Bei Yu, David Z. Pan |
| 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 | RISCSparse: Point Cloud Inference Engine on RISC-V Processor. | Shangran Lin, Xinrui Zhu, Baohui Xie, Tinghuan Chen, Cheng Zhuo, Qi Sun, Bei Yu |
| 2024 | ICCAD | Peak Power and Dynamic IR-drop Assessment via Waveform Augmenting. | Yihan Wen, Juan Li, Bei Yu, Xiaoyi Wang |
| 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 | ICCAD | RTLRewriter: Methodologies for Large Models aided RTL Code Optimization. | Xufeng Yao, Yiwen Wang, Xing Li, Yingzhao Lian, Ran Chen, Lei Chen, Mingxuan Yuan, Hong Xu, Bei Yu |
| 2024 | ICML | BetterV: Controlled Verilog Generation with Discriminative Guidance. | Zehua Pei, Hui-Ling Zhen, Mingxuan Yuan, Yu Huang, Bei Yu |
| 2024 | ICML | BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization. | Lancheng Zou, Wenqian Zhao, Shuo Yin, Chen Bai, Qi Sun, Bei Yu |
| 2023 | AAAI | AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution. | Yuxuan Zhao, Qi Sun, Zhuolun He, Yang Bai, Bei Yu |
| 2023 | ASPDAC | Mixed-Type Wafer Failure Pattern Recognition. | Hao Geng, Qi Sun, Tinghuan Chen, Qi Xu, Tsung-Yi Ho, Bei Yu |
| 2023 | ASPDAC | Graph-Learning-Driven Path-Based Timing Analysis Results Predictor from Graph-Based Timing Analysis. | Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi |
| 2023 | ASPDAC | Microarchitecture Power Modeling via Artificial Neural Network and Transfer Learning. | Jianwang Zhai, Yici Cai, Bei Yu |
| 2023 | DAC | Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields. | Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2023 | DAC | OpenDRC: An Efficient Open-Source Design Rule Checking Engine with Hierarchical GPU Acceleration. | Zhuolun He, Yihang Zuo, Jiaxi Jiang, Haisheng Zheng, Yuzhe Ma, Bei Yu |
| 2023 | DAC | On a Moreau Envelope Wirelength Model for Analytical Global Placement. | Peiyu Liao, Hongduo Liu, Yibo Lin, Bei Yu, Martin D. F. Wong |
| 2023 | DAC | Layout Decomposition via Boolean Satisfiability. | Hongduo Liu, Peiyu Liao, Mengchuan Zou, Bowen Pang, Xijun Li, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu |
| 2023 | DAC | Concurrent Sign-off Timing Optimization via Deep Steiner Points Refinement. | Siting Liu, Ziyi Wang, Fangzhou Liu, Yibo Lin, Bei Yu, Martin D. F. Wong |
| 2023 | DAC | Efficient ILT via Multi-level Lithography Simulation. | Shuyuan Sun, Fan Yang, Bei Yu, Li Shang, Xuan Zeng |
| 2023 | DAC | Restructure-Tolerant Timing Prediction via Multimodal Fusion. | Ziyi Wang, Siting Liu, Yuan Pu, Song Chen, Tsung-Yi Ho, Bei Yu |
| 2023 | DAC | DiffPattern: Layout Pattern Generation via Discrete Diffusion. | Zixiao Wang, Yunheng Shen, Wenqian Zhao, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu |
| 2023 | DAC | LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition. | Yu Zhang, Yifan Chen, Zhonglin Xie, Hong Xu, Zaiwen Wen, Yibo Lin, Bei Yu |
| 2023 | DAC | Mitigating Distribution Shift for Congestion Optimization in Global Placement. | Su Zheng, Lancheng Zou, Siting Liu, Yibo Lin, Bei Yu, Martin D. F. Wong |
| 2023 | DATE | BOMIG: A Majority Logic Synthesis Framework for AQFP Logic. | Rongliang Fu, Junying Huang, Mengmeng Wang, Nobuyuki Yoshikawa, Bei Yu, Tsung-Yi Ho, Olivia Chen |
| 2023 | DATE | Fast and Accurate Wire Timing Estimation Based on Graph Learning. | Yuyang Ye, Tinghuan Chen, Yifei Gao, Hao Yan, Bei Yu, Longxing Shi |
| 2023 | DATE | Efficient Design Rule Checking with GPU Acceleration. | Wei Zhong, Zhenhua Feng, Zhuolun He, Weimin Wang, Yuzhe Ma, Bei Yu |
| 2023 | EMNLP | ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs. | Yang Bai, Wenqian Zhao, Shuo Yin, Zixiao Wang, Bei Yu |
| 2023 | ICCAD | Klotski: DNN Model Orchestration Framework for Dataflow Architecture Accelerators. | Chen Bai, Xuechao Wei, Youwei Zhuo, Yi Cai, Hongzhong Zheng, Bei Yu, Yuan Xie |
| 2023 | ICCAD | DLPlace: A Delay-Line Clocking-Based Placement Framework for AQFP Circuits. | Rongliang Fu, Olivia Chen, Bei Yu, Nobuyuki Yoshikawa, Tsung-Yi Ho |
| 2023 | ICCAD | Invited Paper: Heterogeneous Acceleration for Design Rule Checking. | Zhuolun He, Bei Yu |
| 2023 | ICCAD | Handling Orientation and Aspect Ratio of Modules in Electrostatics-Based Large Scale Fixed-Outline Floorplanning. | Fuxing Huang, Duanxiang Liu, Xingquan Li, Bei Yu, Wenxing Zhu |
| 2023 | ICCAD | AlphaSyn: Logic Synthesis Optimization with Efficient Monte Carlo Tree Search. | Zehua Pei, Fangzhou Liu, Zhuolun He, Guojin Chen, Haisheng Zheng, Keren Zhu, Bei Yu |
| 2023 | ICCAD | IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration. | Ziyang Yu, Chen Bai, Shoubo Hu, Ran Chen, Taohai He, Mingxuan Yuan, Bei Yu, Martin D. F. Wong |
| 2023 | ICCAD | Lay-Net: Grafting Netlist Knowledge on Layout-Based Congestion Prediction. | Su Zheng, Lancheng Zou, Peng Xu, Siting Liu, Bei Yu, Martin D. F. Wong |
| 2023 | ICCAD | Multi-Product Optimization for 3D Heterogeneous Integration with D2W Bonding. | Zhen Zhuang, Kai-Yuan Chao, Bei Yu, Tsung-Yi Ho, Martin D. F. Wong |
| 2023 | ICCV | Efficient Deep Space Filling Curve. | Wanli Chen, Xufeng Yao, Xinyun Zhang, Bei Yu |
| 2023 | ICML | Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks. | Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu |
| 2023 | ICPP | SNICIT: Accelerating Sparse Neural Network Inference via Compression at Inference Time on GPU. | Shui Jiang, Tsung-Wei Huang, Bei Yu, Tsung-Yi Ho |
| 2023 | IJCAI | FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract). | Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu |
| 2023 | MICRO | ArchExplorer: Microarchitecture Exploration Via Bottleneck Analysis. | Chen Bai, Jiayi Huang, Xuechao Wei, Yuzhe Ma, Sicheng Li, Hongzhong Zheng, Bei Yu, Yuan Xie |
| 2022 | AAAI | Context-Based Contrastive Learning for Scene Text Recognition. | Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, 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 | CSCWD | BCvoteMDE: A Blockchain-based E-Voting Scheme for Multi-District Elections. | Hongyu Zhu, Libo Feng, Jianzhao Luo, Yani Sun, Bei Yu, Shaowen Yao |
| 2022 | CVPR | PCL: Proxy-based Contrastive Learning for Domain Generalization. | Xufeng Yao, Yang Bai, Xinyun Zhang, Yuechen Zhang, Qi Sun, Ran Chen, Ruiyu Li, Bei Yu |
| 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 | Eventor: an efficient event-based monocular multi-view stereo accelerator on FPGA platform. | Mingjun Li, Jianlei Yang, Yingjie Qi, Meng Dong, Yuhao Yang, Runze Liu, Weitao Pan, Bei Yu, Weisheng Zhao |
| 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 |
| 2022 | DAC | Functionality matters in netlist representation learning. | Ziyi Wang, Chen Bai, Zhuolun He, Guangliang Zhang, Qiang Xu, Tsung-Yi Ho, Bei Yu, Yu Huang |
| 2022 | DATE | DREAMPlace 4.0: Timing-driven Global Placement with Momentum-based Net Weighting. | Peiyu Liao, Siting Liu, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu |
| 2022 | DATE | FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler. | Siting Liu, Peiyu Liao, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu |
| 2022 | DATE | Efficient Hotspot Detection via Graph Neural Network. | Shuyuan Sun, Yiyang Jiang, Fan Yang, Bei Yu, Xuan Zeng |
| 2022 | DATE | Mixed-Cell-Height Legalization on CPU-GPU Heterogeneous Systems. | Haoyu Yang, Kit Fung, Yuxuan Zhao, Yibo Lin, Bei Yu |
| 2022 | DATE | TRADER: A Practical Track-Assignment-Based Detailed Router. | Zhen Zhuang, Genggeng Liu, Tsung-Yi Ho, Bei Yu, Wenzhong Guo |
| 2022 | ECCV | Efficient Point Cloud Analysis Using Hilbert Curve. | Wanli Chen, Xinge Zhu, Guojin Chen, Bei Yu |
| 2022 | ICCAD | X-Check: CPU-Accelerated Design Rule Checking via Parallel Sweepline Algorithms. | Zhuolun He, Yuzhe Ma, Bei Yu |
| 2022 | ICCAD | LayouTransformer: Generating Layout Patterns with Transformer via Sequential Pattern Modeling. | Liangjian Wen, Yi Zhu, Lei Ye, Guojin Chen, Bei Yu, Jianzhuang Liu, Chunjing Xu |
| 2022 | ICCAD | AdaOPC: A Self-Adaptive Mask Optimization Framework for Real Design Patterns. | Wenqian Zhao, Xufeng Yao, Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2022 | ICCAD | Multi-Package Co-Design for Chiplet Integration. | Zhen Zhuang, Bei Yu, Kai-Yuan Chao, Tsung-Yi Ho |
| 2021 | ASPDAC | Analog IC Aging-induced Degradation Estimation via Heterogeneous Graph Convolutional Networks. | Tinghuan Chen, Qi Sun, Canhui Zhan, Changze Liu, Huatao Yu, Bei Yu |
| 2021 | ASPDAC | Physical Synthesis for Advanced Neural Network Processors. | Zhuolun He, Peiyu Liao, Siting Liu, Yuzhe Ma, Yibo Lin, Bei Yu |
| 2021 | ASPDAC | TreeNet: Deep Point Cloud Embedding for Routing Tree Construction. | Wei Li, Yuxiao Qu, Gengjie Chen, Yuzhe Ma, Bei Yu |
| 2021 | ASPDAC | Attacking a CNN-based Layout Hotspot Detector Using Group Gradient Method. | Haoyu Yang, Shifan Zhang, Kang Liu, Siting Liu, Benjamin Tan, Ramesh Karri, Siddharth Garg, Bei Yu, Evangeline F. Y. Young |
| 2021 | DAC | NeurFill: Migrating Full-Chip CMP Simulators to Neural Networks for Model-Based Dummy Filling Synthesis. | Junzhe Cai, Changhao Yan, Yuzhe Ma, Bei Yu, Dian Zhou, Xuan Zeng |
| 2021 | DAC | Low-Cost Lithography Hotspot Detection with Active Entropy Sampling and Model Calibration. | Yifeng Xiao, Miaodi Su, Haoyu Yang, Jianli Chen, Jun Yu, Bei Yu |
| 2021 | DATE | Towards AQFP-Capable Physical Design Automation. | Hongjia Li, Mengshu Sun, Tianyun Zhang, Olivia Chen, Nobuyuki Yoshikawa, Bei Yu, Yanzhi Wang, Yibo Lin |
| 2021 | DATE | Global Placement with Deep Learning-Enabled Explicit Routability Optimization. | Siting Liu, Qi Sun, Peiyu Liao, Yibo Lin, Bei Yu |
| 2021 | DATE | Deep Neural Network Hardware Deployment Optimization via Advanced Active Learning. | Qi Sun, Chen Bai, Hao Geng, Bei Yu |
| 2021 | DATE | Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design. | Qi Sun, Tinghuan Chen, Siting Liu, Jin Miao, Jianli Chen, Hao Yu, Bei Yu |
| 2021 | DATE | A GPU-enabled Level Set Method for Mask Optimization. | Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu |
| 2021 | EMNLP | Detecting Health Advice in Medical Research Literature. | Yingya Li, Jun Wang, Bei Yu |
| 2021 | ICCAD | BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration Framework. | Chen Bai, Qi Sun, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2021 | ICCAD | AutoGTCO: Graph and Tensor Co-Optimize for Image Recognition with Transformers on GPU. | Yang Bai, Xufeng Yao, Qi Sun, Bei Yu |
| 2021 | ICCAD | A Unified Framework for Layout Pattern Analysis with Deep Causal Estimation. | Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao |
| 2021 | ICCAD | DevelSet: Deep Neural Level Set for Instant Mask Optimization. | Guojin Chen, Ziyang Yu, Hongduo Liu, Yuzhe Ma, Bei Yu |
| 2021 | ICCAD | When Wafer Failure Pattern Classification Meets Few-shot Learning and Self-Supervised Learning. | Hao Geng, Fan Yang, Xuan Zeng, Bei Yu |
| 2021 | ICCAD | Graph Learning-Based Arithmetic Block Identification. | Zhuolun He, Ziyi Wang, Chen Bai, Haoyu Yang, Bei Yu |
| 2021 | ICCAD | McPAT-Calib: A Microarchitecture Power Modeling Framework for Modern CPUs. | Jianwang Zhai, Chen Bai, Binwu Zhu, Yici Cai, Qiang Zhou, Bei Yu |
| 2021 | ICCAD | A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU. | Wenqian Zhao, Qi Sun, Yang Bai, Wenbo Li, Haisheng Zheng, Bei Yu, Martin D. F. Wong |
| 2021 | ICCAD | Hotspot Detection via Multi-task Learning and Transformer Encoder. | Binwu Zhu, Ran Chen, Xinyun Zhang, Fan Yang, Xuan Zeng, Bei Yu, Martin D. F. Wong |
| 2021 | ICCV | Parametric Contrastive Learning. | Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia |
| 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 |
| 2021 | ICCV | Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset with Mechatronic Alignment. | Ruixing Wang, Xiaogang Xu, Chi-Wing Fu, Jiangbo Lu, Bei Yu, Jiaya Jia |
| 2021 | NAACL | Self Promotion in US Congressional Tweets. | Jun Wang, Kelly Cui, Bei Yu |
| 2021 | SIGIR | News2PubMed: A Browser Extension for Linking Health News to Medical Literature. | Jun Wang, 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 | COLING | Measuring Correlation-to-Causation Exaggeration in Press Releases. | Bei Yu, Jun Wang, Lu Guo, Yingya Li |
| 2020 | DAC | Adaptive Layout Decomposition with Graph Embedding Neural Networks. | Wei Li, Jialu Xia, Yuzhe Ma, Jialu Li, Yibo Lin, Bei Yu |
| 2020 | DAC | Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization. | Wei Zhong, Shuxiang Hu, Yuzhe Ma, Haoyu Yang, Xiuyuan Ma, Bei Yu |
| 2020 | ECCV | Dive Deeper into Box for Object Detection. | Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai |
| 2020 | ECCV | Tensor Low-Rank Reconstruction for Semantic Segmentation. | Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu |
| 2020 | ICCAD | DAMO: Deep Agile Mask Optimization for Full Chip Scale. | Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, 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 |
| 2020 | ICCAD | Neural-ILT: Migrating ILT to Neural Networks for Mask Printability and Complexity Co-optimization. | Bentian Jiang, Lixin Liu, Yuzhe Ma, Hang Zhang, Bei Yu, Evangeline F. Y. Young |
| 2020 | ICCAD | Counteracting Adversarial Attacks in Autonomous Driving. | Qi Sun, Arjun Ashok Rao, Xufeng Yao, Bei Yu, Shiyan Hu |
| 2020 | ICCD | Learn to Floorplan through Acquisition of Effective Local Search Heuristics. | Zhuolun He, Yuzhe Ma, Lu Zhang, Peiyu Liao, Ngai Wong, Bei Yu, Martin D. F. Wong |
| 2020 | ICSE | DeepBillboard: systematic physical-world testing of autonomous driving systems. | Husheng Zhou, Wei Li, Zelun Kong, Junfeng Guo, Yuqun Zhang, Bei Yu, Lingming Zhang, Cong Liu |
| 2020 | ISCAS | Reliability-Driven Neural Network Training for Memristive Crossbar-Based Neuromorphic Computing Systems. | Junpeng Wang, Qi Xu, Bo Yuan, Song Chen, Bei Yu, Feng Wu |
| 2019 | ASPDAC | SRAF insertion via supervised dictionary learning. | Hao Geng, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu |
| 2019 | ASPDAC | A local optimal method on DSA guiding template assignment with redundant/dummy via insertion. | Xingquan Li, Bei Yu, Jianli Chen, Wenxing Zhu |
| 2019 | ASPDAC | Detecting multi-layer layout hotspots with adaptive squish patterns. | Haoyu Yang, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu |
| 2019 | ASPDAC | Hardware-software co-design of slimmed optical neural networks. | Zheng Zhao, Derong Liu, Meng Li, Zhoufeng Ying, Lu Zhang, Biying Xu, Bei Yu, Ray T. Chen, David Z. Pan |
| 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 |
| 2019 | DAC | Efficient Layout Hotspot Detection via Binarized Residual Neural Network. | Yiyang Jiang, Fan Yang, Hengliang Zhu, Bei Yu, Dian Zhou, Xuan Zeng |
| 2019 | DAC | FIT: Fill Insertion Considering Timing. | Bentian Jiang, Xiaopeng Zhang, Ran Chen, Gengjie Chen, Peishan Tu, Wei Li, Evangeline F. Y. Young, Bei Yu |
| 2019 | DAC | Attacking Split Manufacturing from a Deep Learning Perspective. | Haocheng Li, Satwik Patnaik, Abhrajit Sengupta, Haoyu Yang, Johann Knechtel, Bei Yu, Evangeline F. Y. Young, Ozgur Sinanoglu |
| 2019 | DAC | High Performance Graph Convolutional Networks with Applications in Testability Analysis. | Yuzhe Ma, Haoxing Ren, Brucek Khailany, Harbinder Sikka, Lijuan Luo, Karthikeyan Natarajan, Bei Yu |
| 2019 | DAC | DeePattern: Layout Pattern Generation with Transforming Convolutional Auto-Encoder. | Haoyu Yang, Piyush Pathak, Frank Gennari, Ya-Chieh Lai, Bei Yu |
| 2019 | EMNLP | Detecting Causal Language Use in Science Findings. | Bei Yu, Yingya Li, Jun Wang |
| 2019 | ICCAD | Power-Driven DNN Dataflow Optimization on FPGA. | Qi Sun, Tinghuan Chen, Jin Miao, Bei Yu |
| 2019 | ICTAI | A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks. | Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu |
| 2018 | ASPDAC | A practical split manufacturing framework for Trojan prevention via simultaneous wire lifting and cell insertion. | Meng Li, Bei Yu, Yibo Lin, Xiaoqing Xu, Wuxi Li, David Z. Pan |
| 2018 | COLING | An Evaluation of Information Extraction Tools for Identifying Health Claims in News Headlines. | Shi Yuan, Bei Yu |
| 2018 | DAC | Routability-driven and fence-aware legalization for mixed-cell-height circuits. | Haocheng Li, Wing-Kai Chow, Gengjie Chen, Evangeline F. Y. Young, Bei Yu |
| 2018 | DAC | GAN-OPC: mask optimization with lithography-guided generative adversarial nets. | Haoyu Yang, Shuhe Li, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young |
| 2018 | DATE | TimingCamouflage: Improving circuit security against counterfeiting by unconventional timing. | Grace Li Zhang, Bing Li, Bei Yu, David Z. Pan, Ulf Schlichtmann |
| 2018 | ISCAS | Thermal-Aware Placement and Routing for 3D Optical Networks-on-Chips. | Fengxian Jiao, Sheqin Dong, Bei Yu, Bing Li, Ulf Schlichtmann |
| 2017 | DAC | Minimizing Thermal Gradient and Pumping Power in 3D IC Liquid Cooling Network Design. | Gengjie Chen, Jian Kuang, Zhiliang Zeng, Hang Zhang, Evangeline F. Y. Young, Bei Yu |
| 2017 | DAC | Layout Hotspot Detection with Feature Tensor Generation and Deep Biased Learning. | Haoyu Yang, Jing Su, Yi Zou, Bei Yu, Evangeline F. Y. Young |
| 2017 | DATE | A utility-driven data transmission optimization strategy in large scale cyber-physical systems. | Soumi Chattopadhyay, Ansuman Banerjee, Bei Yu |
| 2017 | EMNLP | An NLP Analysis of Exaggerated Claims in Science News. | Yingya Li, Jieke Zhang, Bei Yu |
| 2017 | ICCAD | A unified framework for simultaneous layout decomposition and mask optimization. | Yuzhe Ma, Jhih-Rong Gao, Jian Kuang, Jin Miao, Bei Yu |
| 2017 | ICCAD | Clock-aware ultrascale FPGA placement with machine learning routability prediction: (Invited paper). | Chak-Wa Pui, Gengjie Chen, Yuzhe Ma, Evangeline F. Y. Young, Bei Yu |
| 2017 | IECON | Irradiation test of the control system of a tracked robot for nuclear disaster response. | Huayan Pu, Bei Yu, Jun Luo, Yang Yang, Yi Sun, Shaorong Xie |
| 2017 | ISLPED | A learning bridge from architectural synthesis to physical design for exploring power efficient high-performance adders. | Subhendu Roy, Yuzhe Ma, Jin Miao, Bei Yu |
| 2016 | ASPDAC | Stitch aware detailed placement for multiple e-beam lithography. | Yibo Lin, Bei Yu, Yi Zou, Zhuo Li, Charles J. Alpert, David Z. Pan |
| 2016 | ASPDAC | Laplacian eigenmaps and bayesian clustering based layout pattern sampling and its applications to hotspot detection and OPC. | Tetsuaki Matsunawa, Bei Yu, David Z. Pan |
| 2016 | DAC | Incremental layer assignment for critical path timing. | Derong Liu, Bei Yu, Salim Chowdhury, David Z. Pan |
| 2016 | ICCAD | Incorporating cut redistribution with mask assignment to enable 1D gridded design. | Jian Kuang, Evangeline F. Y. Young, Bei Yu |
| 2016 | ICCAD | MrDP: multiple-row detailed placement of heterogeneous-sized cells for advanced nodes. | Yibo Lin, Bei Yu, Xiaoqing Xu, Jhih-Rong Gao, Natarajan Viswanathan, Wen-Hao Liu, Zhuo Li, Charles J. Alpert, David Z. Pan |
| 2016 | ICCAD | Provably secure camouflaging strategy for IC protection. | Meng Li, Kaveh Shamsi, Travis Meade, Zheng Zhao, Bei Yu, Yier Jin, David Z. Pan |
| 2016 | ICCAD | LRR-DPUF: learning resilient and reliable digital physical unclonable function. | Jin Miao, Meng Li, Subhendu Roy, Bei Yu |
| 2016 | ICCAD | RippleFPGA: a routability-driven placement for large-scale heterogeneous FPGAs. | Chak-Wa Pui, Gengjie Chen, Wing-Kai Chow, Ka-Chun Lam, Jian Kuang, Peishan Tu, Hang Zhang, Evangeline F. Y. Young, Bei Yu |
| 2016 | ICCAD | Enabling online learning in lithography hotspot detection with information-theoretic feature optimization. | Hang Zhang, Bei Yu, Evangeline F. Y. Young |
| 2016 | LAK | Topic modeling for evaluating students' reflective writing: a case study of pre-service teachers' journals. | Ye Chen, Bei Yu, Xuewei Zhang, Yihan Yu |
| 2015 | ASPDAC | Electromigration-aware redundant via insertion. | Jiwoo Pak, Bei Yu, David Z. Pan |
| 2015 | ASPDAC | Machine learning and pattern matching in physical design. | Bei Yu, David Z. Pan, Tetsuaki Matsunawa, Xuan Zeng |
| 2015 | DAC | High performance dummy fill insertion with coupling and uniformity constraints. | Yibo Lin, Bei Yu, David Z. Pan |
| 2015 | DAC | Pushing multiple patterning in sub-10nm: are we ready? | David Z. Pan, Lars Liebmann, Bei Yu, Xiaoqing Xu, Yibo Lin |
| 2015 | DAC | PARR: pin access planning and regular routing for self-aligned double patterning. | Xiaoqing Xu, Bei Yu, Jhih-Rong Gao, Che-Lun Hsu, David Z. Pan |
| 2015 | ICCAD | Triple Patterning Aware Detailed Placement Toward Zero Cross-Row Middle-of-Line Conflict. | Yibo Lin, Bei Yu, Biying Xu, David Z. Pan |
| 2015 | ICCAD | TILA: Timing-Driven Incremental Layer Assignment. | Bei Yu, Derong Liu, Salim Chowdhury, David Z. Pan |
| 2015 | RecSys | 3rd International Workshop on News Recommendation and Analytics (INRA 2015). | Jon Atle Gulla, Bei Yu, zlem zgbek, Nafiseh Shabib |
| 2014 | ASPDAC | Self-aligned double patterning layout decomposition with complementary e-beam lithography. | Jhih-Rong Gao, Bei Yu, David Z. Pan |
| 2014 | DAC | MOSAIC: Mask Optimizing Solution With Process Window Aware Inverse Correction. | Jhih-Rong Gao, Xiaoqing Xu, Bei Yu, David Z. Pan |
| 2014 | DAC | Layout Decomposition for Quadruple Patterning Lithography and Beyond. | Bei Yu, David Z. Pan |
| 2013 | ASPDAC | L-shape based layout fracturing for e-beam lithography. | Bei Yu, Jhih-Rong Gao, David Z. Pan |
| 2013 | DAC | E-BLOW: e-beam lithography overlapping aware stencil planning for MCC system. | Bei Yu, Kun Yuan, Jhih-Rong Gao, David Z. Pan |
| 2013 | ICCAD | A high-performance triple patterning layout decomposer with balanced density. | Bei Yu, Yen-Hung Lin, Gerard Luk-Pat, Duo Ding, Kevin Lucas, David Z. Pan |
| 2013 | ICCAD | Methodology for standard cell compliance and detailed placement for triple patterning lithography. | Bei Yu, Xiaoqing Xu, Jhih-Rong Gao, David Z. Pan |
| 2012 | ASPDAC | EPIC: Efficient prediction of IC manufacturing hotspots with a unified meta-classification formulation. | Duo Ding, Bei Yu, Joydeep Ghosh, David Z. Pan |
| 2012 | ASPDAC | GLOW: A global router for low-power thermal-reliable interconnect synthesis using photonic wavelength multiplexing. | Duo Ding, Bei Yu, David Z. Pan |
| 2012 | HCOMP | Collecting Representative Pictures for Words: A Human Computation Approach Based on Draw Something Game. | Jun Wang, Bei Yu |
| 2012 | ICCAD | TRIAD: A triple patterning lithography aware detailed router. | Yen-Hung Lin, Bei Yu, David Z. Pan, Yih-Lang Li |
| 2012 | ICCAD | Dealing with IC manufacturability in extreme scaling (Embedded tutorial paper). | Bei Yu, Jhih-Rong Gao, Duo Ding, Yongchan Ban, Jae-Seok Yang, Kun Yuan, Minsik Cho, David Z. Pan |
| 2011 | ASPDAC | Network flow-based simultaneous retiming and slack budgeting for low power design. | Bei Yu, Sheqin Dong, Yuchun Ma, Tao Lin, Yu Wang, Song Chen, Satoshi Goto |
| 2011 | ICCAD | Layout decomposition for triple patterning lithography. | Bei Yu, Kun Yuan, Boyang Zhang, Duo Ding, David Z. Pan |
| 2010 | ASPDAC | Floorplanning and topology generation for application-specific network-on-chip. | Bei Yu, Sheqin Dong, Song Chen, Satoshi Goto |
| 2010 | HCOMP | Sentence recall game: a novel tool for collecting data to discover language usage patterns. | Jun Wang, Bei Yu |
| 2009 | CIKM | TSA'09 workshop summary: topic-sentiment analysis. | Bei Yu, Maojin Jiang |
| 2008 | WWW | Race: finding and ranking compact connected trees for keyword proximity search over xml documents. | Guoliang Li, Jianhua Feng, Jianyong Wang, Bei Yu, Yukai He |
| 2008 | SAC | Strangeness-based feature weighting and classification of gene expression profiles. | Haifeng Shao, Bei Yu, Joseph H. Nadeau |
| 2007 | CIDR | One table stores all: Enabling painless free-and-easy data publishing and sharing. | Beng Chin Ooi, Bei Yu, Guoliang Li |
| 2007 | DASFAA | Schema Mapping in P2P Networks Based on Classification and Probing. | Guoliang Li, Beng Chin Ooi, Bei Yu, Lizhu Zhou |
| 2007 | SIGMOD | Effective keyword-based selection of relational databases. | Bei Yu, Guoliang Li, Karen R. Sollins, Anthony K. H. Tung |
| 2006 | DASFAA | Clustering Peers Based on Contents for Efficient Similarity Search. | Yanfeng Shu, Bei Yu |
| 2006 | ICDE | HiWaRPP - Hierarchical Wavelet-based Retrieval on Peer-to-Peer Network. | Mihai Lupu, Bei Yu |
| 2006 | ISCC | TaintTrace: Efficient Flow Tracing with Dynamic Binary Rewriting. | Winnie Cheng, Qin Zhao, Bei Yu, Scott Hiroshige |
| 2004 | KDD | A cross-collection mixture model for comparative text mining. | ChengXiang Zhai, Atulya Velivelli, Bei Yu |
| 2002 | ICDM | Concept Tree Based Clustering Visualization with Shaded Similarity Matrices. | Jun Wang, Bei Yu, Les Gasser |