Yu Cheng  Yu Cheng photo       

contact information

Research Staff Member
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash1756

links

Professional Associations

Professional Associations:  ACM  |  ACM SIGKDD  |  IEEE


2018

A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng, Duo Wang, Pan Zhou, Tao Zhang
IEEE Signal Processing Magazine , 2018


2017

MMD GAN: Towards Deeper Understanding of Moment Matching Network
Chun-Liang Li, Wei-Chen Chang, Yu Cheng, Yiming Yang and Barnabas Poczos
In the Thirtieth-first Annual Conference on Neural Information Processing System (NIPS), 2017

Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
Zhengping Che*, Yu Cheng*, Shuangfei Zhai, Zhaonan Sun, Yan Liu (* equal contribution)
In IEEE International Conference on Data Mining (ICDM), 2017

Segment Convolutional Neural Networks (Seg-CNN) for Classifying Relations in Clinical Notes
Yuan Luo, Yu Cheng, Ozlem Uzuner, Peter Szolovits, Justin Starren
Journal of the American Medical Informatics Association (JAMIA), 2017

CHI: A Contemporaneous Health Index for Degenerative Disease Monitoring using Longitudinal Measurements
Yijun Huang, Qiang Meng, Heather Evans, Bill Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang
Journal of Biomedical Informatics (JBI), 2017

Generative Adversarial Networks as Variational Training of Energy Based Models
Shuangfei Zhai, Yu Cheng, Rogerio Feris, Zhongfei (Mark) Zhang
Arxiv, 2017

S3Pool: Pooling with Stochastic Spatial Sampling
Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Zhongfei (Mark) Zhang, Rogerio Feris
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogerio Feris
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

Unsupervised Sequential Outlier Detection with Deep Architectures
Weining Lu*, Yu Cheng*, Cao Xiao, Shiyu Chang, Shuai Huang, Thomas S. Huang (* equal contribution)
IEEE Transactions on Image Processing (TIP), 2017

Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification
Yu Cheng*, Shuangjie Xu*, Kang Gu, Shiyu Chang, Pan Zhou (* equal contribution)
In International Conference on Computer Vision 2017 (ICCV)

Deep Model based Domain Adaptation for Fault Diagnosis
Weining Lu, Bin Liang, Yu Cheng, Deshan Meng, Jun Yang, Tao Zhang
IEEE Transactions on Industrial Electronics, 2017


2016

Doubly Convolutional Neural Networks
Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang
The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), 2016

Outlier Faces Detector via Efficient Cohesive Subgraph Identification
Yu Cheng, Nalini Ratha, Sharat Pankanti
In the 23rd IEEE International Conference on Image Processing (ICIP 2016)

Deep Structured Energy Based Models for Anomaly Detection
Shuangfei Zhai*, Yu Cheng*, Weining Lu, Zhongfei Zhang
In the 33rd International Conference on Machine Learning (ICML 2016)

Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data
Jing Wang, Rogerio Feris, Yu Cheng
In the 27th International Conference on Computer Vision and Pattern Recognition (CVPR 2016)

Risk Prediction with Electronic Health Records: A Deep Learning Approach
Yu Cheng, Fei Wang, Ping Zhang, Jianying Hu
In 2016 SIAM International Conference on Data Mining (SDM 2016)

Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information
Yu Cheng, Ankit Agrawal, Alok Choudhary, Huan Liu
Journal of Statistical Analysis and Data Mining, 2016

Measuring Patient Similarities via A Deep Architecture with Medical Concept Embedding
Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei Wang
In IEEE International Conference on Data Mining (ICDM), 2016


2015

Reducing infrequent-token perplexity via variational corpora
Yusheng Xie, Pranjal Daga, Yu Cheng, Kunpeng Zhang, Alok Choudhary
The annual meeting of the Association for Computational Linguistics (ACL 2015)

Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information
Yu Cheng, Ankit Agrawal, Alok Choudhary, Huan Liu
In 2015 SIAM International Conference on Data Mining (SDM 2015)
Best Paper Finalist of SDM 15

An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections
Yu Cheng, Felix X. Yu, Rogerio Feris, Sanjiv Kumar, Shih-Fu Chang
In 2015 International Conference on Computer Vision (ICCV 2015)


2014

MuSES: Multilingual Sentiment Elicitation System for Social Media Data
Yusheng Xie, Zhengzhang Chen, Yu Cheng, Daniel K. Honbo, Ankit Agrawal, and Alok Choudhary
IEEE Intelligent Systems, 2014

Batch Mode Active Learning with Hierarchical-Structured Embedded Variance
Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, Alok Choudhary
In 2014 SIAM International Conference on Data Mining (SDM 2014)

RiskWheel: Interactive Visual Analytics for Surveillance Event Detection
Yu Cheng, Lisa Brown, Quanfu Fan, Rogerio Feris, Sharath Pankanti, Tao Zhang
In International Conference on Multimedia & Expo (ICME 2014)

Temporal Sequence Modeling for Video Event Detection
Yu Cheng, Quanfu Fan, Sharath Pankanti, Alok Choudhary
In the 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014)
Oral Paper

Social Role Identification via Dual Uncertainty Minimization Regularization
Yu Cheng, Alok Choudhary, Ankit Agrawal, Huan Liu, Tao Zhang
In the 14th IEEE International Conference on Data Mining (ICDM 2014)


2013

Graphical Modeling of Macro Behavioral Targeting in Social Networks
Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Md. Mostofa Ali Patwary, Yu Cheng, Ankit Agrawal, Alok Choudhary
In 2013 SIAM International Conference on Data Mining (SDM 2013)

Detecting and Tracking Disease Outbreaks in Real-time through Social Media
Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, and Alok Choudhary
In the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013)

Forecast Oriented Classification of Spatio-Temporal Extreme Events
Zhengzhang Chen, Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, Wei-keng Liao, Nagiza Samatova, and Alok Choudhary
In the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013)

JobMiner: A Real-time System for Mining Job-related Patterns from Social Media
Yu Cheng, Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok Choudhary, Songtao Guo
In the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2013)

A Probabilistic Graphical Model for Brand Reputation Assessment in Social Networks
Kunpeng Zhang, Doug Downey, Zhengzhang Chen, Yusheng Xie, Yu Cheng, Wei-keng Liao, Alok Choudhary
In the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)

Elver: Recommending Facebook Pages in Cold Start Situation Without Content Features
Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Chen Jin, Ankit Agrawal, and Alok Choudhary
In the IEEE International Conference on Big Data (BigData 2013)

Mining Diabetes Complication and Treatment Patterns for Clinical Decision Support
Lu Liu, Jie Tang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok Choudhary
In the 22th ACM International Conference on Information and Knowledge Management (CIKM 2013)

Bootstrapping Active Name Disambiguation with Crowdsourcing
Yu Cheng, Zhengzhang Chen, Jiang Wang, Alok Choudhary
In the 22th ACM International Conference on Information and Knowledge Management (CIKM 2013)

Feedback-Driven Multiclass Active Learning for Data Streams
Yu Cheng, Zhengzhang Chen, Lu Liu, Jiang Wang, Ankit Agrawal, Alok Choudhary
In the 22th ACM International Conference on Information and Knowledge Management (CIKM 2013)

A Robot-in-the-Loop Face Detection and Recognition System with Coordinative Control Platform
Xiaohan Li, Yu Cheng, Song Chen, Tao Zhang
In the 10th IEEE International Conference on Robotics and Biomimetics (ROBIO 2013)