1. Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut. ALBERT: A Lite BERT for Self-supervised Learning of Language, Arxiv, 2019.
2. Sebastian Goodman, Zhenzhong Lan, Radu Soricut. Multi-stage Pretraining for Abstractive Summarization, Arxiv, 2019.
3. Zhenzhong Lan, Yi Zhu, Alexander G Hauptmann, Shawn Newsam. Deep local video features for action recognition. CVPR workshops 2017.
4. Zhenzhong Lan, Shoou-I Yu, Dezhong Yao, Ming Lin, Bhiksha Raj, Alexander G Hauptmann. The Best of both worlds: Combining data-independent and data-driven approaches for action Recognition. CVPR workshops 2016.
5. Lin, Ming, Zhenzhong Lan, and Alexander G. Hauptmann. Density Corrected Sparse Recovery When RIP Condition Is Broken. IJCAI’15.
6. Zhenzhong Lan, Ming Lin, Xuanchong Li, Alexander G Hauptmann, Bhiksha Raj. Beyond gaussian pyramid: Multi-skip feature stacking for action recognition. CVPR’15.
7. Wei Tong, Yi Yang, Lu Jiang, Shoou-I Yu, Zhenzhong Lan, et al. E-LAMP: Integration of Innovative Ideas for Multimedia Event Detection. Machine Vision and Applications, 2014.
8. Zhenzhong Lan, Lei Bao, Shoou-I Yu, Wei Liu, Alexander G Hauptmann. Multimedia Classification and Event Detection Using Double Fusion. Multimedia Tools and Applications, 2014.
9. Jiang, Lu, Deyu Meng, Shoou-I. Yu, Zhenzhong Lan, Shiguang Shan, and Alexander Hauptmann. Self-paced learning with diversity. NIPS’14.
10. Ballas, Nicolas, Yi Yang, Zhenzhong Lan, Bertrand Delezoide, Francoise Preteux, Alexander Hauptmann. Space-time robust representation for action recognition. ICCV’13.
11. Zhenzhong Lan, Lu Jiang,Shoou-I Yu, Shourabh Rawat, Yang Cai, et al. CMU-Informedia at TRECVID 2013 multimedia event detection. TRECVID Workshop, 2013.
12. Zhenzhong Lan, Lei Bao, Shoou-I Yu, Wei Liu, Alexander G Hauptmann. Double Fusion for Multimedia Event Detection. MMM’12.
13. Minh Hoai, Zhenzhong Lan, Fernando De la Torre. Joint Segmentation and Classification of Human Actions in Video. CVPR’11.