| 2026 | ACL | Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning. | Zhenguang Wang, Bo Li, Wenhui Tan, Peng Cao, Yang Wang, Jia Duan, Fei Wang, Osmar R. Zaane |
| 2026 | DATE | DRVision: A DRV-aware Routability Optimization Framework with Multi-modal Prediction and Vision-Based Routing Guidance. | Xu Cheng, Pengcheng Fan, Peng Cao |
| 2025 | DAC | Late Breaking Results: BLAST: Bisection-Free Learning Approach for Statistical Timing Characterization. | Kai Jing, Tao Bai, Zeyuan Deng, Junming Jiao, Peng Cao |
| 2025 | DASFAA | Structure-Aware Self-supervised Graph Representation Learning. | Lingwen Liu, Peng Cao, Guangqi Wen, Zhuolin Jia, Jinzhu Yang, Weiping Li, Osmar R. Zaane |
| 2025 | ICONIP | Interpretable Modeling of Multi-scale Temporal Patterns in Depressive Speech. | Zhihao Wang, Wenju Yang, Peng Cao, Fei Wang, Osmar R. Zaane |
| 2025 | IJCNN | Weakly Supervised Lesion Detection Guides Diabetic Retinopathy Grading. | Jun Li, Hantao Zhang, Shouhong Wan, Qingshan Hou, Peng Cao, Banghao Yin |
| 2025 | MICCAI | ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation. | Xi Chen, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2025 | MICCAI | RIFNet: Bridging Modalities for Accurate and Detailed Ocular Disease Analysis. | Yuqing Li, Qingshan Hou, Peng Cao, Jianguo Ju, Tianqi Wang, Meng Wang, Ke Zou, Yih Chung Tham, Huazhu Fu, Osmar R. Zaane |
| 2025 | MICCAI | Structure-Aware MRI Translation: Multi-modal Latent Diffusion Model with Arbitrary Missing Modalities. | Xinzhe Zhang, Junjie Liang, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2025 | MICCAI | BrainPrompt: Domain Adaptation with Prompt Learning for Multi-site Brain Network Analysis. | Liuzeng Zhang, Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2024 | ASPDAC | Heterogeneous Graph Attention Network Based Statistical Timing Library Characterization with Parasitic RC Reduction. | Xu Cheng, Yuyang Ye, Guoqing He, Qianqian Song, Peng Cao |
| 2024 | ASPDAC | An Optimization-aware Pre-Routing Timing Prediction Framework Based on Heterogeneous Graph Learning. | Guoqing He, Wenjie Ding, Yuyang Ye, Xu Cheng, Qianqian Song, Peng Cao |
| 2024 | ECAI | SETTP: Style Extraction and Tunable Inference via Dual-Level Transferable Prompt Learning. | Chunzhen Jin, Yongfeng Huang, Yaqi Wang, Peng Cao, Osmar Zaane |
| 2024 | EMNLP | Reusing Transferable Weight Increments for Low-resource Style Generation. | Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar R. Zaane |
| 2024 | ICASSP | Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. | Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaane, Fei Wang |
| 2024 | ICCAD | A Physical and Timing Aware Placement Optimization Framework Based on Graph Neural Network. | Wenjie Ding, Zhanhua Zhang, Guoqing He, Peng Cao |
| 2024 | ICCAD | LAG-Sizer: A Novel Gate Sizer Based on Leak Generative Adversarial Network with Feature Fusion. | Zhanhua Zhang, Wenjie Ding, Guoqing He, Peng Cao |
| 2024 | ICONIP | Optimizing Learnable Frequency-Domain Filterbanks for Depression Detection via Speech Representation Disentanglement. | Wenju Yang, LeYang Li, Yong Hao, Peng Cao, Osmar R. Zaane |
| 2024 | MICCAI | A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images. | Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Yih Chung Tham, Osmar R. Zaane |
| 2024 | MICCAI | 3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective. | Junjie Liang, Peng Cao, Wenju Yang, Jinzhu Yang, Osmar R. Zaane |
| 2024 | MICCAI | Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. | Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaane |
| 2024 | MICCAI | Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation. | Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2024 | MICCAI | A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement. | Yaqi Wang, Leqi Chen, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaane |
| 2024 | MICCAI | Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation. | Yaqi Wang, Peng Cao, Qingshan Hou, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaane |
| 2024 | WSDM | Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. | Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaane |
| 2023 | ADMA | csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction. | Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | ADMA | Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning. | Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | ADMA | Label Correlation Guided Feature Selection for Multi-label Learning. | Kai Zhang, Wei Liang, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaane |
| 2023 | AIME | Generalized Deep Learning-Based Proximal Gradient Descent for MR Reconstruction. | Guanxiong Luo, Mengmeng Kuang, Peng Cao |
| 2023 | CHI | LaserShoes: Low-Cost Ground Surface Detection Using Laser Speckle Imaging. | Zihan Yan, Yuxiaotong Lin, Guanyun Wang, Yu Cai, Peng Cao, Haipeng Mi, Yang Zhang |
| 2023 | DAC | Late Breaking Results: RL-LPO: Reinforcement Learning Based Leakage Power Optimization Framework with Graph Neural Network. | Peng Cao, Jiahao Wang |
| 2023 | DAC | Critical Paths Prediction under Multiple Corners Based on BiLSTM Network. | Qianqian Song, Xu Cheng, Peng Cao |
| 2023 | IJCAI | Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. | Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | MICCAI | Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. | Shuai Cheng, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaane |
| 2023 | MICCAI | Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks. | Wei Liang, Kai Zhang, Peng Cao, Pengfei Zhao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2023 | MICCAI | BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. | Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaane, Fei Wang |
| 2022 | AAAI | UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer. | Haonan Wang, Peng Cao, Jiaqi Wang, Osmar R. Zaane |
| 2022 | ASPDAC | A Graph Neural Network Method for Fast ECO Leakage Power Optimization. | Kai Wang, Peng Cao |
| 2022 | ASPDAC | Pre-Routing Path Delay Estimation Based on Transformer and Residual Framework. | Tai Yang, Guoqing He, Peng Cao |
| 2022 | CVPR | Targeted Supervised Contrastive Learning for Long-Tailed Recognition. | Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogrio Feris, Piotr Indyk, Dina Katabi |
| 2021 | ASPDAC | A Timing Prediction Framework for Wide Voltage Design with Data Augmentation Strategy. | Peng Cao, Wei Bao, Kai Wang, Tai Yang |
| 2021 | ASPDAC | An Adaptive Delay Model for Timing Yield Estimation under Wide-Voltage Range. | Hao Yan, Xiao Shi, Chengzhen Xuan, Peng Cao, Longxing Shi |
| 2021 | ISCAS | A Bipolar-Input Bipolar-Output DC-DC Converter for Thermoelectric Energy Harvesting. | Peng Cao, Zhiliang Hong |
| 2021 | ISCAS | A Charge-Pump-Based SIMO Buck-Boost DC-DC Converter with Three Operation Modes. | Zhiguo Tong, Peng Cao, Peng Xu, Dehong Lv, Danzhu Lu, Jie He, Zhiliang Hong |
| 2020 | ECCV | TCGM: An Information-Theoretic Framework for Semi-supervised Multi-modality Learning. | Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang |
| 2020 | ISCAS | Statistical Timing Model for Subthreshold Circuit with Correlated Variation Consideration. | Jingjing Guo, Peng Cao, Mengxiao Li, Zhiyuan Liu, Jun Yang |
| 2019 | AVSS | Non-Local Attentive Temporal Network for Video-Based Person Re-Identification. | Shivansh Rao, Peng Cao, Tanzila Rahman, Mrigank Rochan, Yang Wang |
| 2019 | ICCAD | A Statistical Timing Model for Low Voltage Design Considering Process Variation. | Peng Cao, Zhiyuan Liu, Jiangping Wu, Jingjing Guo, Jun Yang, Longxing Shi |
| 2019 | ICLR | Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds. | Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang |
| 2017 | ISI | Research on high-resolution imaging technology to extract the halftone-dot-information by iPhone. | Lu Luo, Peng Cao, Dazhong Mu |
| 2017 | MICCAI | Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer's Disease. | Peng Cao, Xiaoli Liu, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaane |
| 2016 | HIS | Cost Sensitive Ranking Support Vector Machine for Multi-label Data Learning. | Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaane |
| 2016 | HIS | Sparse Learning and Hybrid Probabilistic Oversampling for Alzheimer's Disease Diagnosis. | Peng Cao, Xiaoli Liu, Dazhe Zhao, Osmar R. Zaane |
| 2014 | FPL | Configuration approaches to improve computing efficiency of coarse-grained reconfigurable multimedia processor. | Chen Yang, Leibo Liu, Yansheng Wang, Shouyi Yin, Peng Cao, Shaojun Wei |
| 2013 | CBMS | Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection. | Peng Cao, Dazhe Zhao, Osmar R. Zaane |
| 2013 | HIS | Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning. | Peng Cao, Dazhe Zhao, Osmar R. Zaane |
| 2013 | IJCNN | A novel cost sensitive neural network ensemble for multiclass imbalance data learning. | Peng Cao, Bo Li, Dazhe Zhao, Osmar R. Zaane |
| 2013 | IJCNN | Measure optimized wrapper framework for multi-class imbalanced data learning: An empirical study. | Peng Cao, Dazhe Zhao, Osmar R. Zaane |
| 2013 | ISCAS | Implementation of multi-standard video decoding algorithms on a coarse-grained reconfigurable multimedia processor. | Leibo Liu, Yingjie Victor Chen, Shouyi Yin, Dong Wang, Xing Wang, Shaojun Wei, Li Zhou, Hao Lei, Peng Cao |
| 2013 | PAKDD | An Optimized Cost-Sensitive SVM for Imbalanced Data Learning. | Peng Cao, Dazhe Zhao, Osmar R. Zaane |
| 2013 | PAKDD | A PSO-Based Cost-Sensitive Neural Network for Imbalanced Data Classification. | Peng Cao, Dazhe Zhao, Osmar R. Zaane |
| 2011 | CIS | A Cloud Model Approach to the Modification of the Exponential Function Model for Software Reliability. | Ziqiang Luo, Peng Cao, Shengquan Ma, Lihua Wu |
| 2011 | CIS | Qualitative Modeling for Parallel Software System Reliability Evaluation. | Ziqiang Luo, Peng Cao, Shengquan Ma, Lihua Wu |
| 2011 | CIS | A Modification to the Jelinski-Moranda Software Reliability Growth Model Based on Cloud Model Theory. | Ziqiang Luo, Peng Cao, Guochun Tang, Lihua Wu |
| 2008 | PRICAI | Semantic Filtering for DDL-Based Service Composition. | Wenjia Niu, Zhongzhi Shi, Peng Cao, Hui Peng, Liang Chang |
| 2008 | VTC | Channel Modification Strategy for Capacity of MIMO Channels with Channel Estimation Error. | Xiaoguang Wu, Guixia Kang, Peng Cao, Ping Zhang |
| 2004 | ICIG | Facial expression recognition based on Gabor wavelet transformation and elastic templates matching. | Yongzhao Zhan, Jingfu Ye, Dejiao Niu, Peng Cao |