| 2026 | HPCA | ASPA: Reassigning DDR5 Parity Bandwidth. | Fan Li, Qiufeng Li, Yanan Guo, Weidong Cao, Xin Xin |
| 2026 | ISCA | HBM-CASO: A Coordinated Approach to HBM System-Level and On-Die ECC. | Ruizhi Zhu, Yanan Guo, Huize Li, Weidong Cao, Qian Lou, Xin Xin |
| 2025 | CSCWD | An Aircraft Scheduling Optimization Model Based on Graph Reinforcement Learning. | Jianli Ding, Yuepeng Ren, Weidong Cao |
| 2025 | DAC | EVA: An Efficient and Versatile Generative Engine for Targeted Discovery of Novel Analog Circuits. | Jian Gao, Weimin Fu, Xiaolong Guo, Weidong Cao, Xuan Zhang |
| 2025 | DAC | AdreamDCO: AI-Driven Robust and Efficient Design Automation for Digitally Controlled Oscillators. | Yaolong Hu, Hao Guo, Shikai Wang, Jiaqi Liu, Weidong Cao, Taiyun Chi |
| 2025 | DAC | Late Breaking Results: Less Sense Makes More Sense: In-Sensor Compressive Learning for Efficient Machine Vision. | Yiwen Liang, Weidong Cao |
| 2025 | DAC | Late Breaking Results: Opera: An Open and Efficient Platform for Data-driven Synthesis of Analog Circuits. | Shikai Wang, Yaolong Hu, Zhiqiang Yi, Taiyun Chi, Weidong Cao |
| 2025 | ICCAD | Invited Paper: Multi-Agent Generative Synthesis for Analog/RF Circuit: from Scalable Topology Generation to Efficient Inverse Design. | Shikai Wang, Qiufeng Li, Houbo He, Jian Gao, Zining Wang, Yu Sun, Xuan Zhang, Taiyun Chi, Weidong Cao |
| 2025 | ICLR | AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies. | Jian Gao, Weidong Cao, Junyi Yang, Xuan Zhang |
| 2025 | ICML | AnalogGenie-Lite: Enhancing Scalability and Precision in Circuit Topology Discovery through Lightweight Graph Modeling. | Jian Gao, Weidong Cao, Xuan Zhang |
| 2025 | ISCAS | QC-CNN: Highly Quantized Compressive CNN for Efficient Ventricular Arrhythmia Detection in Implantable Cardioverter Defibrillators. | Zining Wang, Jian Gao, Weidong Cao, Zhenge Jia, Yiyu Shi, Xuan Zhang |
| 2025 | ISCAS | A Hybrid-Domain Floating-Point Compute-In-Memory Architecture for Efficient Acceleration of High-Precision Deep Neural Networks. | Zhiqiang Yi, Yiwen Liang, Weidong Cao |
| 2025 | ISLPED | LoRASensE: Learnable Low-Rank Acquisition in Sensors for Efficient Edge Machine Vision. | Yiwen Liang, Zhiqiang Yi, Tianrui Ma, Weidong Cao |
| 2025 | ISLPED | Unicorn-CIM: Unconvering the Vulnerability and Improving the Resilience of High-Precision Compute-in-Memory. | Qiufeng Li, Yiwen Liang, Weidong Cao |
| 2024 | DAC | Addition is Most You Need: Efficient Floating-Point SRAM Compute-in-Memory by Harnessing Mantissa Addition. | Weidong Cao, Jian Gao, Xin Xin, Xuan Zhang |
| 2023 | DAC | RoSE: Robust Analog Circuit Parameter Optimization with Sampling-Efficient Reinforcement Learning. | Jian Gao, Weidong Cao, Xuan Zhang |
| 2023 | ICCAD | PDNSig: Identifying Multi-Tenant Cloud FPGAs with Power Distribution Network-Based Signatures. | Huifeng Zhu, Weidong Cao, Xuan Zhang |
| 2023 | ICLR | CktGNN: Circuit Graph Neural Network for Electronic Design Automation. | Zehao Dong, Weidong Cao, Muhan Zhang, Dacheng Tao, Yixin Chen, Xuan Zhang |
| 2023 | ISCA | LeCA: In-Sensor Learned Compressive Acquisition for Efficient Machine Vision on the Edge. | Tianrui Ma, Adith Jagadish Boloor, Xiangxing Yang, Weidong Cao, Patrick Williams, Nan Sun, Ayan Chakrabarti, Xuan Zhang |
| 2023 | ISCAS | Non-Hermitian Physics-Inspired Voltage-Controlled Oscillators with Resistive Tuning. | Weidong Cao, Hua Wang, Xuan Zhang |
| 2023 | ISCAS | A/D Alleviator: Reducing Analog-to-Digital Conversions in Compute-In-Memory with Augmented Analog Accumulation. | Weidong Cao, Xuan Zhang |
| 2022 | DAC | Domain knowledge-infused deep learning for automated analog/radio-frequency circuit parameter optimization. | Weidong Cao, Mouhacine Benosman, Xuan Zhang, Rui Ma |
| 2022 | ICCAD | PowerTouch: A Security Objective-Guided Automation Framework for Generating Wired Ghost Touch Attacks on Touchscreens. | Huifeng Zhu, Zhiyuan Yu, Weidong Cao, Ning Zhang, Xuan Zhang |
| 2022 | ISLPED | HOGEye: Neural Approximation of HOG Feature Extraction in RRAM-Based 3D-Stacked Image Sensors. | Tianrui Ma, Weidong Cao, Fei Qiao, Ayan Chakrabarti, Xuan Zhang |
| 2019 | DATE | NeuADC: Neural Network-Inspired RRAM-Based Synthesizable Analog-to-Digital Conversion with Reconfigurable Quantization Support. | Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang |
| 2019 | ICCAD | Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. | Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang |
| 2010 | ICNC | An improved method for Bayesian network structure learning. | Weidong Cao, Xiangnong Fang |
| 2008 | ICNC | Analysis of Sequence Flight Delay and Propagation Based on the Bayesian Networks. | Weidong Cao, Jianli Ding, Hong Wang |