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VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results


Jul 19, 2021
Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Maadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao

* European Conference on Computer Vision. Springer, Cham, 2020: 675-691 
* The method description of A7 Mutil-Scale Aware based SFANet (M-SFANet) is updated and missing references are added 

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Transfer Learning under High-dimensional Generalized Linear Models


May 29, 2021
Ye Tian, Yang Feng

* 52 pages, 7 figures 

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Towards a Universal NLG for Dialogue Systems and Simulators with Future Bridging


May 24, 2021
Philipp Ennen, Yen-Ting Lin, Ali Girayhan Ozbay, Ferdinando Insalata, Maolin Li, Ye Tian, Sepehr Jalali, Da-shan Shiu

* 11 pages, 1 figure 

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Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics


May 22, 2021
Ye Tian, Xingyi Zhang, Cheng He, Kay Chen Tan, Yaochu Jin


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AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference


May 12, 2021
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu

* Accepted by DAC2021 

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Evaluating the Effect of Longitudinal Dose and INR Data on Maintenance Warfarin Dose Predictions


May 06, 2021
Anish Karpurapu, Adam Krekorian, Ye Tian, Leslie M. Collins, Ravi Karra, Aaron Franklin, Boyla O. Mainsah


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Meta-Learning with MAML on Trees


Mar 08, 2021
Jezabel R. Garcia, Federica Freddi, Feng-Ting Liao, Jamie McGowan, Tim Nieradzik, Da-shan Shiu, Ye Tian, Alberto Bernacchia

* Updated version of paper in EACL workshop: Adapt-NLP 2021 

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A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images


Feb 16, 2021
Yongwan Lim, Asterios Toutios, Yannick Bliesener, Ye Tian, Sajan Goud Lingala, Colin Vaz, Tanner Sorensen, Miran Oh, Sarah Harper, Weiyi Chen, Yoonjeong Lee, Johannes Töger, Mairym Lloréns Montesserin, Caitlin Smith, Bianca Godinez, Louis Goldstein, Dani Byrd, Krishna S. Nayak, Shrikanth S. Narayanan

* 27 pages, 6 figures, 5 tables, submitted to Nature Scientific Data 

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RaSE: A Variable Screening Framework via Random Subspace Ensembles


Feb 07, 2021
Ye Tian, Yang Feng

* 59 pages, 3 figures 

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A Multilayer Correlated Topic Model


Jan 02, 2021
Ye Tian

* 11 pages, 4 figures 

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DeepDyve: Dynamic Verification for Deep Neural Networks


Oct 16, 2020
Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu


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Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection


Jul 14, 2020
Cong Chen, Shouyang Dong, Ye Tian, Kunlin Cao, Li Liu, Yuanhao Guo

* 11 papges, 3 figures, preprint for submission 

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RaSE: Random Subspace Ensemble Classification


Jun 16, 2020
Ye Tian, Yang Feng

* 52 pages, 6 figures 

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Downstream Model Design of Pre-trained Language Model for Relation Extraction Task


Apr 08, 2020
Cheng Li, Ye Tian


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Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks


Oct 23, 2019
Jinming Xu, Ye Tian, Ying Sun, Gesualdo Scutari


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Learning a Multitask Curriculum for Neural Machine Translation


Aug 28, 2019
Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell, Zarana Parekh

* 12 pages 

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DeepShift: Towards Multiplication-Less Neural Networks


May 30, 2019
Mostafa Elhoushi, Farhan Shafiq, Ye Tian, Joey Yiwei Li, Zihao Chen


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Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images


May 27, 2019
Ye Tian, Li Yang, Wei Wang, Jing Zhang, Qing Tang, Mili Ji, Yang Yu, Yu Li, Hong Yang, Airong Qian

* 8 pages, 5figures 

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Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling


Feb 21, 2019
Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia X. Chen, Ye Jia, Anjuli Kannan, Tara Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel A. U. Bacchiani, Thomas B. Jablin, Rob Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon


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THORS: An Efficient Approach for Making Classifiers Cost-sensitive


Nov 07, 2018
Ye Tian, Weiping Zhang

* 26 pages, 6 figures 

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ClusterNet: 3D Instance Segmentation in RGB-D Images


Sep 19, 2018
Lin Shao, Ye Tian, Jeannette Bohg


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Spatial Transformer Introspective Neural Network


May 16, 2018
Yunhan Zhao, Ye Tian, Wei Shen, Alan Yuille

* Submitted to BMVC2018 

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PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization


Jan 04, 2017
Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin

* IEEE Computational Intelligence Magazine, 2017, 12(4): 73-87 
* 20 pages, 12 figures, 4 tables 

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