Academic Research

You can also find my articles on my Google Scholar profile.

• Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello. “Bridging the gap to real-world object-centric learning” The Eleventh International Conference on Learning Representations. 2023.
• Jian Yao, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David P Wipf, Yanwei Fu, Zheng Zhang. “Self-supervised Amodal Video Object Segmentation” Advances in Neural Information Processing Systems, 35, 6278-6291.
• Yijia Zheng, Tong He, Yixuan Qiu, David P Wipf. “Learning manifold dimensions with conditional variational autoencoders” Advances in Neural Information Processing Systems, 35, 34709-34721.
• Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe. “PSS: Progressive sample selection for open-world visual representation learning” European Conference on Computer Vision. Cham: Springer Nature Switzerland, 2022.
• Li, Longyuan, Jian Yao, Li Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David Wipf, and Zheng Zhang. “GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction.” Advances in Neural Information Processing Systems 34 (2021).
• Wang, Li, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, and Xiangyang Xue. “Progressive Coordinate Transforms for Monocular 3D Object Detection.” Advances in Neural Information Processing Systems 34 (2021).
• Xing, Yifan, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf Paul, Zheng Zhang, and Stefano Soatto. “Learning Hierarchical Graph Neural Networks for Image Clustering.” The International Conference on Computer Vision, To Appear, 2021.
• Zhu, Yi, Zhongyue Zhang, Chongruo Wu, Zhi Zhang, Tong He, Hang Zhang, R. Manmatha, Mu Li, and Alexander Smola. “Improving Semantic Segmentation via Self-Training.” arXiv preprint arXiv:2004.14960 (2020).
• Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander Smola. “ResNeSt: Split-Attention Networks.” arXiv preprint arXiv:2004.08955 (2020).
• Lin, Haibin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, and Mu Li. “Dynamic mini-batch SGD for elastic distributed training: learning in the limbo of resources.” arXiv preprint arXiv:1904.12043 (2019).
• Zhang, Zhi, Tong He, Hang Zhang, Zhongyuan Zhang, Junyuan Xie, and Mu Li. “Bag of freebies for training object detection neural networks.” arXiv preprint arXiv:1902.04103 (2019).
• He, Tong, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, and Mu Li. “Bag of tricks for image classification with convolutional neural networks.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 558-567. 2019.
• He, Tong, Marten Heidemeyer, Fuqiang Ban, Artem Cherkasov, and Martin Ester. “SimBoost: a read-across approach for predicting drug–target binding affinities using gradient boosting machines.” Journal of cheminformatics 9, no. 1 (2017): 1-14.
• Chen, Tianqi, and Tong He. “Higgs boson discovery with boosted trees.” In NIPS 2014 workshop on high-energy physics and machine learning, pp. 69-80. 2015.
• Cai, Yi-fei, Zhao-hui Liang, Tong He, Gang Zhang, Jimmy Xiangji Huang, and Xing Zeng. “Augmenting LASSO regression with decision tree for identifying the correlation of genetic polymorphism and adverse events.” In 2013 IEEE International Conference on Bioinformatics and Biomedicine, pp. 355-360. IEEE, 2013.

Open Source Projects

• Guo, Jian, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi et al. “Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing.” Journal of Machine Learning Research 21, no. 23 (2020): 1-7.
• Chen, Tianqi, Tong He, Michael Benesty, Vadim Khotilovich, and Yuan Tang. “Xgboost: extreme gradient boosting.” R package.

Books

• Peter Dalgaard. （译）郝智恒, 何通, 邓一硕, 刘旭华. 《R语言统计入门(第2版)》.

Patents

• Samuel Aparicio, Sohrab SHAH, Rosalia AGUIRRE-HERNANDEZ, Leah PRENTICE, Patrick Franchini, Jaswinder Singh KHATTRA, Tong HE. “Molecular quality assurance methods for use in sequencing.”.