I am a second-year Ph.D. student in Computer Sciences and Engineering at the OSU. I am very fortunate to be advised by Prof. Ness Shroff. In Spring and Summer 2022, I spent a wonderful time as a visiting student in AINet-Lab at ZJU, supervised by Prof. Yang Yang. Before joining the OSU, I graduated from the Department of Mechanical Engineering at SJTU.

My research interests include machine learning, graph mining, computer vision, robotics and neural computing. Currently, I'm particularly interested in the graph condensation technologies that ease the graph representation learning (e.g., GNN deployment) in real industrial scenarios. I also pay special attention to incorporating reinforcement learning into the graph mining tasks.

Publications

• DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection Paper
  Shihao Tu, Linfeng Cao, Daoze Zhang, Junru Chen, Lvbin Ma, Yin Zhang, Yang Yang
  38th Conference on Neural Information Processing Systems (NeurIPS), 2024

• Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph Paper Code
  Linfeng Cao, Haoran Deng, Chunping Wang, Lei Chen, Yang Yang
  The ACM Web Conference (WWW, Oral), 2024

• Improving the Robustness of Analog Deep Neural Networks through A Bayes-Optimized Noise Injection Approach Paper
  Nanyang Ye, Linfeng Cao, Liujia Yang, Ziqing Zhang, Zhicheng Fang, Qinying Gu, Guang-Zhong Yang
  Nature Communications Engineering (Nat. Commun. Eng), 2023

• OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression Paper Code
  Linfeng Cao, Aofan Jiang, Wei Li, Huaying Wu, Nanyang Ye
  AAAI Conference on Artificial Intelligence (AAAI Oral), 2022

• Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network Paper Code
  Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, Lei Chen
  International Joint Conference on Artificial Intelligence (IJCAI), 2022

• A Brain-Actuated Robotic Arm System Using Non-invasive Hybrid Brain-Computer Interface and Shared Control Strategy Paper BCI AWARD 2021
  Linfeng Cao, Guangye Li, Yang Xu, Heng Zhang, Xiaokang Shu, Dingguo Zhang
  Journal of Neural Engineering (JNE, IF: 5.043), 2021

• A Bayesian Fusion Based Shared Control Strategy for Brain- Actuated Robotic Arm System
  Linfeng Cao, Guangye Li, and Dingguo Zhang
  IEEE International Conference on Real-time Computing and Robotics (RCAR, abstract), 2021

• A Shared Control Strategy for Reach and Grasp of Multiple Objects Using Robot Vision and Noninvasive Brain-Computer Interface Paper
  Yang Xu, Heng Zhang, Linfeng Cao, Xiaokang Shu, Dingguo Zhang
  IEEE Transactions on Automation Science and Engineering (TASE, IF: 5.083), 2020