| 2026 | AAAI | Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference. | Yangbo Wei, Zhen Huang, Shaoqiang Lu, Junhong Qian, Dongge Qin, Ting-Jung Lin, Wei W. Xing, Chen Wu, Lei He |
| 2026 | ASPDAC | VFlow: Discovering Optimal Agentic Workflows for Verilog Generation. | Yangbo Wei, Zhen Huang, Lei He, Li Huang, Ting-Jung Lin, Wei W. Xing |
| 2025 | ACL | MECoT: Markov Emotional Chain-of-Thought for Personality-Consistent Role-Playing. | Yangbo Wei, Zhen Huang, Fangzhou Zhao, Qi Feng, Wei W. Xing |
| 2025 | DAC | NeuralMesh: Neural Network For FEM Mesh Generation in 2.5D/3D Chiplet Thermal Simulation. | Pengju Chen, Dan Niu, Dekang Zhang, Wenhao Wang, Depeng Xie, Zhou Jin, Wei W. Xing, Lei He |
| 2025 | DAC | Self-Attention to Operator Learning-based 3D-IC Thermal Simulation. | Zhen Huang, Hong Wang, Wenkai Yang, Muxi Tang, Depeng Xie, Ting-Jung Lin, Yu Zhang, Wei W. Xing, Lei He |
| 2025 | DAC | Accuracy Is Not Always We Need: Precision-Aware Bayesian Yield Optimization. | Jing Kou, Zidong Chen, Liang Zhang, Haiyan Qin, Wang Kang, Wei W. Xing |
| 2025 | DAC | Multi-Agent Yield Analysis For Circuit Design. | Haiyan Qin, Jing Kou, Liang Zhang, Wang Kang, Wei W. Xing |
| 2025 | DATE | FUSIS: Fusing Surrogate Models and Importance Sampling for Efficient Yield Estimation. | Yanfang Liu, Wei W. Xing |
| 2025 | DATE | LaRED: Efficient IR Drop Predictor with Layout-Preserving Rebuilder-Encoder-Decoder Architecture. | Chengxuan Yu, Yanshuang Teng, Wenhao Dai, Yongjiang Li, Wei W. Xing, Xiao Wu, Dan Niu, Zhou Jin |
| 2025 | ICCAD | DIVE: Dynamic Information-Guided Variable Expansion for Deeper Analog Circuit Optimization. | Zhuohua Liu, Weilun Xie, Yuxuan Zhang, Chen Wang, Yuanqi Hu, Wei W. Xing |
| 2025 | ICCAD | ASTRA: Automatic Sizing of Transistors with Reasoning Agents. | Wei W. Xing, Baowen Ou, Yuxuan Zhang, Zhuohua Liu, Yuanqi Hu |
| 2025 | ICCAD | SetupKit: Efficient Multi-Corner Setup/Hold Time Characterization Using Bias-Enhanced Interpolation and Active Learning. | Junzhuo Zhou, Ziwen Wang, Haoxuan Xia, Yuxin Yan, Chengyu Zhu, Ting-Jung Lin, Wei W. Xing, Lei He |
| 2025 | ICCD | OpenYield: An Open-Source SRAM Yield Analysis and Optimization Benchmark Suite. | Shan Shen, Xingyang Li, Zhuohua Liu, Junhao Ma, Yikai Wang, Yiheng Wu, Yuquan Sun, Wei W. Xing |
| 2024 | AISTATS | Multi-Resolution Active Learning of Fourier Neural Operators. | Shibo Li, Xin Yu, Wei W. Xing, Robert M. Kirby, Akil Narayan, Shandian Zhe |
| 2024 | AISTATS | Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels. | Da Long, Wei W. Xing, Aditi S. Krishnapriyan, Robert M. Kirby, Shandian Zhe, Michael W. Mahoney |
| 2024 | ASPDAC | CIS: Conditional Importance Sampling for Yield Optimization of Analog and SRAM Circuits. | Yanfang Liu, Wei W. Xing |
| 2024 | ASPDAC | BoCNT: A Bayesian Optimization Framework for Global CNT Interconnect Optimization. | Hang Wu, Ning Xu, Wei W. Xing, Yuanqing Cheng |
| 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 | MAUnet: Multiscale Attention U-Net for Effective IR Drop Prediction. | Mingyue Wang, Yuanqing Cheng, Yage Lin, Kelin Peng, Shunchuan Yang, Zhou Jin, Wei W. Xing |
| 2024 | DAC | KATO: Knowledge Alignment And Transfer for Transistor Sizing Of Different Design and Technology. | Wei W. Xing, Weijian Fan, Zhuohua Liu, Yuan Yao, Yuanqi Hu |
| 2024 | DAC | Every Failure Is A Lesson: Utilizing All Failure Samples To Deliver Tuning-Free Efficient Yield Evaluation. | Wei W. Xing, Yanfang Liu, Weijian Fan, Lei He |
| 2024 | DAC | LVF2: A Statistical Timing Model based on Gaussian Mixture for Yield Estimation and Speed Binning. | Junzhuo Zhou, Li Huang, Haoxuan Xia, Yihui Cai, Leilei Jin, Xiao Shi, Wei W. Xing, Ting-Jung Lin, Lei He |
| 2024 | ICCAD | Beyond the Yield Barrier: Variational Importance Sampling Yield Analysis. | Yanfang Liu, Lei He, Wei W. Xing |
| 2024 | ICCAD | Pseudo Adjoint Optimization: Harnessing the Solution Curve for SPICE Acceleration. | Jiatai Sun, Xiaru Zha, Chao Wang, Xiao Wu, Dan Niu, Wei W. Xing, Zhou Jin |
| 2023 | ASPDAC | High-Dimensional Yield Estimation Using Shrinkage Deep Features and Maximization of Integral Entropy Reduction. | Shuo Yin, Guohao Dai, Wei W. Xing |
| 2023 | DAC | Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold. | Yanfang Liu, Guohao Dai, Wei W. Xing |
| 2023 | DAC | TOTAL: Multi-Corners Timing Optimization Based on Transfer and Active Learning. | Wei W. Xing, Zheng Xing, Rongqi Lu, Zhelong Wang, Ning Xu, Yuanqing Cheng, Weisheng Zhao |
| 2023 | ICCAD | OPT: Optimal Proposal Transfer for Efficient Yield Optimization for Analog and SRAM Circuits. | Yanfang Liu, Guohao Dai, Yuanqing Cheng, Wang Kang, Wei W. Xing |
| 2022 | AISTATS | Physics Informed Deep Kernel Learning. | Zheng Wang, Wei W. Xing, Robert M. Kirby, Shandian Zhe |
| 2022 | DAC | Accelerating nonlinear DC circuit simulation with reinforcement learning. | Zhou Jin, Haojie Pei, Yichao Dong, Xiang Jin, Xiao Wu, Wei W. Xing, Dan Niu |
| 2022 | DAC | Efficient bayesian yield analysis and optimization with active learning. | Shuo Yin, Xiang Jin, Linxu Shi, Kang Wang, Wei W. Xing |
| 2022 | IJCNN | E-LMC: Extended Linear Model of Coregionalization for Spatial Field Prediction. | Shihong Wang, Xueying Zhang, Yichen Meng, Wei W. Xing |
| 2021 | AISTATS | Multi-Fidelity High-Order Gaussian Processes for Physical Simulation. | Zheng Wang, Wei W. Xing, Robert Michael Kirby, Shandian Zhe |
| 2020 | AAAI | Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations. | Wei W. Xing, Shireen Y. Elhabian, Robert Michael Kirby, Ross T. Whitaker, Shandian Zhe |
| 2020 | IJCAI | Scalable Gaussian Process Regression Networks. | Shibo Li, Wei W. Xing, Robert M. Kirby, Shandian Zhe |
| 2019 | AISTATS | Scalable High-Order Gaussian Process Regression. | Shandian Zhe, Wei W. Xing, Robert M. Kirby |