Selected Publications:

  Conference Paper:
  2017
  • Chun-Liang Li, Wei-Chen Chang, Yu Cheng, Yiming Yang and Barnabás Póczos. MMD GAN: Towards Deeper Understanding of Moment Matching Network, In the Thirtieth-first Annual Conference on Neural Information Processing System (NIPS 2017 acceptance rate 20.9%) [PDF[Code
  • Yu Cheng*, Shuangjie Xu*, Kang Gu, Shiyu Chang, Pan Zhou (* equal contribution). Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification, In International Conference on Computer Vision 2017 (ICCV 2017[PDF[Code
  • Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogerio Feris. Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) [PDF[Code]
  • Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Zhongfei (Mark) Zhang, Rogerio Feris. S3Pool: Pooling with Stochastic Spatial Sampling. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) [PDF] [Code
  • Zhengping Che*, Yu Cheng*, Shuangfei Zhai, Zhaonan Sun, Yan Liu (* equal contribution). Boosting Risk Prediction with Generative Adversarial Networks for Electronic Health Records. In 2017 IEEE International Conference on Data Mining (ICDM 2017, acceptance rate 19.9%[PDF]
  • Shuangfei Zhai, Yu Cheng, Rogerio Feris, Zhongfei (Mark) Zhang. Generative Adversarial Networks as Variational Training of Energy Based Models, preprint [PDF] [Code
  2016
  • Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang. Doubly Convolutional Neural Networks. In the Thirtieth Annual Conference on Neural Information Processing System (NIPS 2016 acceptance rate 22.7%[PDF] [Code
  • Shuangfei Zhai*, Yu Cheng*, Weining Lu, Zhongfei Zhang (* equal contribution). Deep Structured Energy Based Models for Anomaly Detection. In the 33rd International Conference on Machine Learning (ICML 2016acceptance rate 24.2%[PDF] [Code]
  • Yu Cheng, Nalini Ratha, Sharat Pankanti. Outlier Faces Detector via Efficient Cohesive Subgraph Identification. In the 23rd IEEE International Conference on Image Processing (ICIP 2016) [PDF]
  • Jing Wang, Yu Cheng, Rogerio Feris. Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016, oral paper, acceptance rate 3.9%) [PDF]
  • Yu Cheng, Fei Wang, Ping Zhang, Jianying HuRisk Prediction with Electronic Health Records: A Deep Learning Approach. In 2016 SIAM International Conference on Data Mining (SDM 2016, acceptance rate 25.9%) [PDF] [Code] 
  • Zihao Zhu, Changchang Yin, Buyue Qian, Yu Cheng, Jishang Wei, Fei WangMeasuring Patient Similarities via A Deep Architecture with Medical Concept Embedding. In 2016 IEEE International Conference on Data Mining (ICDM 2016, regular paper, acceptance rate 8.5%[PDF] [Code]
  • Soumya Ghosh, Yu Cheng, Zhaonan Sun. Deep State Space Models for Computational Phenotyping. 2016 IEEE International Conference on Healthcare Informatics (ICHI 2016, short paper) [PDF]
  2015
  • Yu ChengFelix X. Yu, Rogerio Feris, Sanjiv Kumar, Alok Choudhary, Shih-Fu Chang. In 2015 International Conference on Computer Vision. An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections. (ICCV 2015, acceptance rate 19.62%) [PDF] [Poster] [Code]
  • Yusheng XiePranjal Daga, Yu Cheng, Kunpeng ZhangAlok Choudhary. Reducing Infrequent-token Perplexity via Variational Corpora. In the 2015 Conference of the Association for Computational Linguistics. (ACL 2015, acceptance rate 25%) [PDF]
  • Yu Cheng, Ankit Agrawal, Alok Choudhary, Huan Liu. Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information. In 2015 SIAM International Conference on Data Mining (SDM 2015, oral paper, acceptance rate 14.7%[PDF]
  2014
  • Yu Cheng, Alok Choudhary, Ankit Agrawal, Huan Liu, Tao Zhang. Social Role Identification via Dual Uncertainty Minimization Regularization. In 2014 IEEE International Conference on Data Mining (ICDM 2014, acceptance rate 19.5%) [PDF]
  • Yu Cheng, Quanfu Fan, Sharath Pankanti, Alok Choudhary. Temporal Sequence Modeling for Video Event DetectionIn IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014, oral paper, acceptance rate 5.75%) [PDF]
  • Yu Cheng, Lisa Brown, Quanfu Fan, Rogerio Feris, Sharath Pankanti, Tao Zhang. RiskWheel: Interactive Visual Analytics for Surveillance Event Detection. In 2014 IEEE International Conference on Multimedia & Expo. (ICME 2014, oral paper, acceptance rate 13.68%) [PDF]
  • Yu Cheng, Zhengzhang Chen, Hongliang Fei, Fei Wang, Alok Choudhary. Batch Mode Active Learning with Hierarchical-Structured Embedded VarianceIn 2014 SIAM International Conference on Data Mining (SDM 2014, oral paper, acceptance rate 15.42%) [PDF]
  2013
  • Xiaohan Li, Yu Cheng, Song Chen, Tao Zhang. A Robot-in-the-Loop Face Detection and Recognition System with Coordinative Control Platform. In 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO 2013oral paper, acceptance rate 24.59%) [PDF]
  • Yu Cheng, Zhengzhang Chen, Lu Liu, Jiang Wang, Ankit Agrawal, Alok Choudhary. Feedback-Driven Multiclass Active Learning for Data Streams.In the 22nd ACM International Conference on Information & Knowledge Management (CIKM 2013, acceptance rate 16.86%) [PDF]
  • Yu Cheng, Zhengzhang Chen, Jiang Wang, Alok Choudhary. Bootstrapping Active Name Disambiguation with Crowdsourcing. In the 22nd ACM International Conference on Information & Knowledge Management (CIKM 2013, poster, acceptance rate 35%) [PDF]
  • Lu Liu, Jie Tang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, Alok Choudhary. Mining Diabetes Complication and Treatment Patterns for Clinical Decision Support. In the 22nd ACM International Conference on Information & Knowledge Management (CIKM 2013, acceptance rate 16.86%)[PDF]
  • Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Chen Jin, Ankit Agrawal, and Alok  Choudhary. Elver: Recommending Facebook Pages in Cold Start Situation Without Content Features. In 2013 IEEE International Conference on Big Data (BigData 2013) [PDF]
  • Kunpeng Zhang, Doug Downey, Zhengzhang Chen, Yusheng Xie, Yu ChengWei-keng Liao, Alok Choudhary. A Probabilistic Graphical Model for Brand Reputation Assessment in Social Networks. In the international conference on Advances in Social Network Analysis and Mining (ASONAM 2013, acceptance rate 13%) [PDF]
  • Yu Cheng, Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok Choudhary, Songtao Guo. JobMiner: A Real-time System for Mining Job-related Patterns from Social Media. In the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2013) [PDF]
  • Yusheng Xie, Zhengzhang Chen, Kunpeng Zhang, Md. Mostofa Ali Patwary, Yu ChengAnkit Agrawal, Alok Choudhary. Graphical Modeling of Macro Behavioral Targeting in Social Networks. In 2013 SIAM International Conference on Data Mining (SDM 2013, acceptance rate 25.5%) [PDF]

  Journal Paper: 
  • Yu Cheng, Duo Wang, Pan Zhou, Tao Zhang. A Survey of Model Compression and Acceleration for Deep Neural Networks. IEEE Signal Processing Magazine (impact factor: 9.654), 2018. [PDF]
  • Yuan Luo, Yu Cheng, Ozlem Uzuner, Peter Szolovits, Justin Starren. Segment Convolutional Neural Networks (Seg-CNN) for Classifying Relations in Clinical Notes. Journal of the American Medical Informatics Association (impact factor: 3.698), 2017. [PDF]
  • Weining Lu*, Yu Cheng*, Cao Xiao, Shiyu Chang, Shuai Huang, Thomas S. Huang (* equal contribution). Unsupervised Sequential Outlier Detection with Deep Architectures. IEEE Transactions on Image Processing (impact factor: 4.828), volume:26, Issue:9, 2017. [PDF]
  • Yijun Huang, Qiang Meng, Heather Evans, Bill Lober, Yu Cheng, Xiaoning Qian, Ji Liu, Shuai Huang. CHI: A Contemporaneous Health Index for Degenerative Disease Monitoring using Longitudinal Measurements. Journal of Biomedical Informatics (impact factor: 2.753), 2017. [PDF]
  • Yu Cheng, Ankit Agrawal, Alok Choudhary, Huan Liu. Legislative Prediction with Dual Uncertainty Minimization from Heterogeneous Information. Journal of Statistical Analysis and Data Mining (impact factor: 0.827), volume:10 issue:4, 2017. [PDF]
  • Weining Lu, Bin Liang, Yu Cheng, Deshan Meng, Jun Yang, Tao Zhang. Deep Model based Domain Adaptation for Fault Diagnosis. IEEE Transactions on Industrial Electronics (impact factor: 6.383), volume:64 issue:3, 2017. [PDF]
  • Xiaohan Li, Yu Cheng, Tao Zhang. Robust extrinsic calibration from pedestrians. Journal of Signal Processing and Image Communication (impact factor: 2.244), volume:64 page 106-120, 2017. [PDF]
  • Yusheng Xie, Zhengzhang Chen, Yu Cheng, Daniel K. Honbo, Ankit Agrawal, Wei-keng Liao, and Alok Choudhary. MuSES: a Multilingual Sentiment Elicitation System for Social Media Data. IEEE Intelligent Systems (impact factor: 3.532), volume:29 issue:4, 2014. [PDF]
  Technique Report:
  • Yu Cheng, Lisa Brown, Quanfu Fan, Jingjing Liu, Rogerio Feris, Alok Choudhary, Sharath Pankanti. IBM-Northwestern@TRECVID 2014: Surveillance Event Detection. [PDF]
  • Yu Cheng, Alok Choudhary, Sharath Pankanti, Jun Wang, Huan Liu. Dual Uncertainty Minimization Regularization and Its Applications on Heterogeneous Data. ICDM 2014 Doctoral Forum. [PDF]
  • Lisa Brown, Liangliang Cao, Shih-Fu Chang, Yu Cheng, Alok Choudhary, Noel Codella, Courtenay Cotton, Dan Ellis, Quanfu Fan, Rogerio Feris, Leiguang Gong, Matthew Hill, Gang Hua, John Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R Smith, X Yu Felix. IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. [PDF]
  • Yu Cheng, Yusheng Xie, Kunpeng Zhang, Ankit Agrawal, Dan Honbo, Alok Choudhary. How Online Content is Received by Users in Social Media: A Case Study on Facebook.com Posts. KDD 2012 Doctoral Forum. [PDF]
  • Yu Cheng, Kunpeng Zhang, Yusheng Xie, Ankit Agrawal, Wei-keng Liao, Alok Choudhary. Learning to group web text incorporating prior information. ICDM 2011 Doctoral Forum. [PDF]
  Workshop Paper:
  • Zhengping Che, Yu Cheng, Zhaonan Sun, and Yan Liu. Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding. NIPS Workshop on Machine Learning for Health 2016. [PDF]
  • Yusheng Xie, Yu Cheng, Kunpeng Zhang, Ankit Agrawal, and Alok Choudhary. Estimating online user location distribution without GPS location. In the workshop held with 2013 IEEE International Conference on Data Mining. [PDF] 
  • Yusheng Xie, Yu Cheng, Daniel Honbo, Kunpeng Zhang, Alok Choudhary, Yi Gao, Jiangtao Gou. Probabilistic macro behavioral targeting. In the workshop held with 2012 ACM International Conference on Information and Knowledge Management. [PDF]
  • Yu Cheng, Yusheng Xie, Kunpeng Zhang, Ankit Agrawal, Dan Honbo, Alok Choudhary. CluChunk: Clustering Large Scale User-generated Content Incorporating Chunklet Information. In the workshop held with 2012 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
  • Yusheng Xie, Yu Cheng, Daniel Honbo, Kunpeng Zhang, Ankit Agrawal, and Alok Choudhary. Crowdsourcing Recommendations from Social Sentiment. In the workshop held with 2012 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining[PDF]
  • Kunpeng Zhang, Yu Cheng, Yusheng Xie, Ankit Agrawal, Diana Palsetia, Kathy Lee, and Alok Choudhary. SES: Sentiment Elicitation System for Social Media Data. In the workshop held with 2011 IEEE International Conference on Data Mining. [PDF]