Tong Yu
Tong Yu
Adobe Research
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Footprintid: Indoor pedestrian identification through ambient structural vibration sensing
S Pan, T Yu, M Mirshekari, J Fagert, A Bonde, OJ Mengshoel, HY Noh, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017
Understanding and improving recurrent networks for human activity recognition by continuous attention
M Zeng, H Gao, T Yu, OJ Mengshoel, H Langseth, I Lane, X Liu
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 56-63, 2018
Big data small footprint: The design of a low-power classifier for detecting transportation modes
MC Yu, T Yu, SC Wang, CJ Lin, EY Chang
Proceedings of the VLDB Endowment 7 (13), 1429-1440, 2014
Semi-supervised convolutional neural networks for human activity recognition
M Zeng, T Yu, X Wang, LT Nguyen, OJ Mengshoel, I Lane
Big Data (Big Data), 2017 IEEE International Conference on, 522-529, 2017
A Visual Dialog Augmented Interactive Recommender System
T Yu, Y Shen, H Jin
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Towards Language-Free Training for Text-to-Image Generation
Y Zhou, R Zhang, C Chen, C Li, C Tensmeyer, T Yu, J Gu, J Xu, T Sun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning
R Zhang, T Yu, Y Shen, H Jin, C Chen
Advances in Neural Information Processing Systems, 15214-15224, 2019
Effective string processing and matching for author disambiguation
WS Chin, YC Juan, Y Zhuang, F Wu, HY Tung, T Yu, JP Wang, CX Chang, ...
Proceedings of the 2013 KDD Cup 2013 workshop, 1-9, 2013
Improving Demand Prediction in Bike Sharing System by Learning Global Features
M Zeng, T Yu, X Wang, V Su, LT Nguyen, OJ Mengshoel
Machine Learning for Large Scale Transportation Systems (LSTS)@ KDD-16, 2016
Customized nonlinear bandits for online response selection in neural conversation models
B Liu, T Yu, I Lane, OJ Mengshoel
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks
Z Fang, T Yu, OJ Mengshoel, RK Gupta
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
Incremental learning for matrix factorization in recommender systems
T Yu, OJ Mengshoel, A Jude, E Feller, J Forgeat, N Radia
2016 IEEE International Conference on Big Data (Big Data), 1056-1063, 2016
Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning
T Yu, Y Shen, R Zhang, X Zeng, H Jin
Proceedings of the 27th ACM International Conference on Multimedia, 39-47, 2019
Towards continuous and passive authentication across mobile devices: an empirical study
X Wang, T Yu, O Mengshoel, P Tague
Proceedings of the 10th ACM Conference on Security and Privacy in Wireless …, 2017
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013
CL Li, YC Su, TW Lin, CH Tsai, WC Chang, KH Huang, TM Kuo, SW Lin, ...
Proceedings of the 2013 KDD Cup 2013 Workshop, 1-7, 2013
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase
J Chi, E Owusu, X Yin, T Yu, W Chan, P Tague, Y Tian
arXiv preprint arXiv:1812.02863, 2018
Figure Captioning with Reasoning and Sequence-Level Training
C Chen, R Zhang, E Koh, S Kim, S Cohen, T Yu, R Rossi, R Bunescu
arXiv preprint arXiv:1906.02850, 2019
Soft-assigned bag of features for object tracking
T Ren, Z Qiu, Y Liu, T Yu, J Bei
Multimedia Systems 21 (2), 189-205, 2015
Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks
J Chi, E Owusu, X Yin, T Yu, W Chan, Y Liu, H Liu, J Chen, S Sim, ...
2018 IEEE/ACM Symposium on Edge Computing (SEC), 378-380, 2018
Scalable thompson sampling via optimal transport
R Zhang, Z Wen, C Chen, C Fang, T Yu, L Carin
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