Peng Cao

I am a Ph.D. student at MIT CSAIL, advised by Prof. Dina Katabi. My research interests are in the areas of machine learning and human-computer interaction.

I have personal experience recovering from depression and navigating the challenges of ADHD and OCD. Through my journey, I’ve learned valuable lessons about resilience and self-care, which I’m happy to share with anyone interested in a meaningful conversation. If you’d like to chat or share your story, please feel free to email me.

Education

Massachusetts Institute of Technology (MIT) Ph.D. in Electrical Engineering and Computer Science

Peking University (PKU) B.S. in Computer Science and Technology, Summa Cum Laude

Publications

Rank-N-Contrast: Learning Continuous Representations for Regression Kaiwen Zha*, Peng Cao*, Jeany Son, Yuzhe Yang, Dina Katabi Conference on Neural Information Processing Systems (NeurIPS), 2023

Contactless Oxygen Monitoring with Radio Waves and Gated Transformer Hao He*, Yuan Yuan*, Ying-Cong Chen*, Peng Cao, Dina Katabi Machine Learning for Healthcare (MLHC), 2023

LaserShoes: Low-Cost Ground Surface Detection Using Laser Speckle Imaging Zihan Yan*, Yuxiaotong Lin*, Guanyun Wang, Yu Cai, Peng Cao, Haipeng Mi, Yang Zhang The ACM Conference on Human Factors in Computing Systems (CHI), 2023

iCatcher+: Robust and Automated Annotation of Infants’ and Young Children’s Gaze Behavior From Videos Collected in Laboratory, Field, and Online Studies Yotam Erel, Katherine Adams Shannon, Junyi Chu, Kim Scott, Melissa Kline Struhl, Peng Cao, Xincheng Tan, Peter Hart, Gal Raz, Sabrina Piccolo, Catherine Mei, Christine Potter, Sagi Jaffe-Dax, Casey Lew-Williams, Joshua Tenenbaum, Katherine Fairchild, Amit Bermano, Shari Liu Advances in Methods and Practices in Psychological Sciences (AMPPS), 2023

EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU Ruidong Zhang, Jihai Zhang, Nitish Gade, Peng Cao, Seyun Kim, Junchi Yan, Cheng Zhang The ACM International Conference on Mobile Human-Computer Interaction (MobileHCI), 2022

Targeted Supervised Contrastive Learning for Long-Tailed Recognition Tianhong Li*, Peng Cao*, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogerio Feris, Piotr Indyk, Dina Katabi Conference on Computer Vision and Pattern Recognition (CVPR), 2022

How Live Streaming Changes Shopping Decisions in E-commerce: A Study of Live Streaming Commerce Ye Wang, Zhicong Lu, Peng Cao, Jingyi Chu, Haonan Wang, Roger Wattenhofer Computer Supported Cooperative Work (CSCW), 2022

CornerRadar: RF-Based Indoor Localization Around Corners Shichao Yue*, Hao He*, Peng Cao*, Kaiwen Zha, Masayuki Koizumi, Dina Katabi The Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2022

A Spatio-temporal Transformer for 3D Human Motion Prediction Emre Aksan, Manuel Kaufmann, Peng Cao, Otmar Hilliges International Conference on 3D Vision (3DV), 2021

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 European Conference on Computer Vision (ECCV), 2020

L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise Yilun Xu*, Peng Cao*, Yuqing Kong, Yizhou Wang Conference on Neural Information Processing Systems (NeurIPS), 2019 Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds Peng Cao*, Yilun Xu*, Yuqing Kong, Yizhou Wang International Conference on Learning Representations (ICLR), 2019