丛玉来副教授

Email: congylai@mail.sysu.edu.cn, yulaicong@gmail.com

Google Scholar: https://scholar.google.com.hk/citations?user=i_XfCIkAAAAJ&hl=zh-CN

丛玉来，中山大学电子与通信工程学院副教授，硕士生导师，中山大学“百人计划”青年学术骨干。分别于2011年和2017年获得西安电子科技大学智能科学与技术专业学士、信号与信息处理专业博士学位；2017-2020年于美国杜克大学Lawrence Carin教授团队进行博士后深造，研究统计深度学习；2021年加入中山大学电子与通信工程学院。

主要研究方向：生成模型（特别是生成对抗网络）、终生学习、贝叶斯推理、Foundation Models、因果推断以及雷达目标识别等。研究成果发表于NeurIPS、ICML、ICLR、AAAI等人工智能/机器学习顶会，以及IEEE TPAMI、JMLR、IEEE TSP等相关领域顶级国际期刊。

本科生、研究生、博士后招生相关信息如下，欢迎志同道合的你与我联系。

努力、踏实、认真、严谨，交流直接顺畅，对工作与学习有较强的积极主动性；
在编程、数学、信号处理、机器学习等任一方面有较深的功底和较浓的兴趣；
对于推免生，优先考虑有读博志向的申请者；优先考虑有较强编程经验的考研学生；
博士后需在机器学习、信号处理等领域的权威期刊/会议发表过文章。

近期学术论文：

[1] Chuan Du, Yulai Cong, Lei Zhang, Dandan Guo, Song Wei. “A Practical Deceptive Jamming Method Based on Vulnerable Location Awareness Adversarial Attack for Radar HRRP Target Recognition.”IEEE Transactions on Information Forensics and Security, 2022

[2] Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin. “GO Hessian for Expectation-Based Objectives.” AAAI Conference on Artificial Intelligence (AAAI), 2021.

[3] Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin. “GAN Memory with No Forgetting.” Advances in Neural Information Processing Systems (NeurIPS), 2020.

[4] Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, Mingyuan Zhou. “Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference.” To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

[5] Miaoyun Zhao, Yulai Cong, Lawrence Carin. “On Leveraging Pretrained GANs for Generation with Limited Data.” International Conference on Machine Learning (ICML), 2020.

[6] Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin. “Bridging Maximum Likelihood and Adversarial Learning via alpha-Divergence.” AAAI Conference on Artificial Intelligence (AAAI), 2020. (Oral)

[7] Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin. “GO Gradient for Expectation-Based Objectives.” International Conference on Learning Representations (ICLR), 2019.

[8] Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, Peng Yuan, Steve H Fung, Hannah H Deng, James Xia, Dinggang Shen. “Craniomaxillofacial bony structures segmentation from MRI with deep-supervision adversarial learning.” International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2018.

[9] Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou. “Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC.” International Conference on Machine Learning (ICML), 2017.

[10] Yulai Cong, Bo Chen, Mingyuan Zhou. “Fast Simulation of Hyperplane-Truncated Multivariate Normal Distributions.” Bayesian Analysis, vol. 12, no. 4, pp. 1017-1037, 2017.

[11] Yulai Cong, Bo Chen, Hongwei Liu, Bo Jiu. “Nonparametric Bayesian Attributed Scattering Center Extraction for Synthetic Aperture Radar Targets.” IEEE Transactions on Signal Processing, vol. 64, no. 18, pp. 4723-4736, 2016.

[12] Mingyuan Zhou, Yulai Cong, Bo Chen. “Augmentable Gamma Belief Networks.” Journal of Machine Learning Research (JMLR), vol. 17, no. 163, pp. 1-44, 2016.

[13] Mingyuan Zhou, Yulai Cong, Bo Chen. “The Poisson Gamma Belief Network.” Advances in Neural Information Processing Systems (NeurIPS), 2015.

丛玉来 副教授

丛玉来副教授