Zhiwei Zhang

Email: zwzhang@fb.com

I'm currently a Research Scientist at Facebook Feed Ads team since June 2017, working on deep learning based computational advertising.

I'm enthusiastic in designing Machine Learning algorithms to solve real world, practical problems. My research experience covers Computational Advertising, Information Retrieval/Data Mining, and Computer Vision. I'm also very interested in Natural Language Processing.

Education

  • PhD in Computer Science, Purdue University, 2012~2017.
  • Master in Pattern Recognition and Intelligent System, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 2009~2012.
    • Advisor: Prof. Stan Z. Li (IEEE Fellow)
    • Research Area: Computer Vision, Face Biometrics
  • Bachelor in Electronic Engineering, Sichuan University, 2005~2009.

Working Experience

  • Research Scientist at Facebook, Menlo Park, 2017~present
    • Feed Ads Team
    • Working on Deep Learning based Computational Advertising.
  • Research Intern at Alibaba, iDST, Seattle, 2015
    • Mentor: Dr. Jun Wang, Prof. Luo Si
    • tasks: mobile app recommendation
  • Research Intern at Microsoft Research & Bing, Seattle, 2014
    • Mentor: Dr. Guihong Cao, Dr. Jianfeng Gao
    • tasks: query parsing, query expansion.

Publications (Google Scholar)

27. Zhiwei Zhang, Ning Chen, Jun Wang, Luo Si. SMART: Sponsored Mobile App RecommendaTion by Balancing App Downloads and Appstore Profit. IEEE International Conference on Big Data (BigData), 2017. Full paper, Oral.

26. Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren, and Tinghuai Ma. "User session level diverse reranking of search results." Neurocomputing (2016).

25. Kexin Pei, Zhongshu Gu, Brendan Saltaformaggio, Shiqing Ma, Fei Wang, Zhiwei Zhang, Luo Si, Xiangyu Zhang, and Dongyan Xu. "HERCULE: attack story reconstruction via community discovery on correlated log graph." In Proceedings of the 32nd Annual Conference on Computer Security Applications, pp. 583-595. ACM, 2016.

24. Zhiwei Zhang, Qifan Wang, Luo Si, and Jianfeng Gao. "Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection." In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR), 2016. Full paper, Oral.

23. Jingang Wang, Jingtian Jiang, Lejian Liao, Dandan Song, Zhiwei Zhang, and Chin-Yew Lin. "Cold Start Cumulative Citation Recommendation for Knowledge Base Acceleration." In European Conference on Information Retrieval (ECIR), 2016.

22. Zhiwei Zhang, Jingang Wang, Tao Wu, Pengjie Ren, Zhumin Chen, and Luo Si. "Supervised Local Contexts Aggregation for Effective Session Search." In European Conference on Information Retrieval (ECIR), 2016. Full Paper, Oral.

21. Zhong Zhang, Zhiwei Zhang, and Shuang Liu. "Cross domain boosting for information fusion in heterogeneous sensor-cyber sources." Signal Processing, 2016.

20. Zhong Zhang, Shuang Liu, and Zhiwei Zhang. "Consistent Sparse Representation for Abnormal Event Detection." IEICE Transactions on Information and Systems, 2015.

19. Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, and Zhaochun Ren. "Mining and ranking users’ intents behind queries." Information Retrieval Journal, 2015.

18. Jingang Wang, Dandan Song, Zhiwei Zhang, Lejian Liao, Luo Si, and Chin-Yew Lin. "LDTM: A Latent Document Type Model for Cumulative Citation Recommendation." In Empirical Methods in Natural Language Processing (EMNLP), 2015.

17. Jingang Wang, Dandan Song, Qifan Wang, Zhiwei Zhang, Luo Si, Lejian Liao, and Chin-Yew Lin. "An entity class-dependent discriminative mixture model for cumulative citation recommendation." In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2015. Full paper, Oral.

16. Qifan Wang, Zhiwei Zhang, and Luo Si. "Ranking Preserving Hashing for Fast Similarity Search." In In International Joint Conference on Artificial Intelligence (IJCAI), 2015.

15. Tao Wu, Qifan Wang, Zhiwei Zhang, and Luo Si. "Determining Expert Research Areas with Multi-Instance Learning of Hierarchical Multi-Label Classification Model." In International Joint Conference on Artificial Intelligence (IJCAI), 2015.

14. Jingang Wang, Ning Zhang, Zhiwei Zhang, Dandan Song, Luo Si, and Lejian Liao. BIT and purdue at TREC-KBA-CCR track 2014. Proceedings of the 23 Text Retrieval Conference (TREC), 2014.

13. Qifan Wang, Luo Si, Zhiwei Zhang, and Ning Zhang. "Active hashing with joint data example and tag selection." In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval (SIGIR), 2014. Full paper, Oral.

12. Zhiwei Zhang, Qifan Wang, Lingyun Ruan, and Luo Si. "Preference preserving hashing for efficient recommendation." In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval (SIGIR), 2014. Full paper, Oral.

11. Qifan Wang, Bin Shen, Zhiwei Zhang, and Luo Si. "Sparse semantic hashing for efficient large scale similarity search." In Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management (CIKM), 2014.

10. Dong Yi, Zhen Lei, Zhiwei Zhang, and Stan Z. Li. "Face anti-spoofing: Multi-spectral approach." In Handbook of Biometric Anti-Spoofing, pp. 83-102. Springer London, 2014.

9. Qifan Wang, Lingyun Ruan, Zhiwei Zhang, and Luo Si. "Learning compact hashing codes for efficient tag completion and prediction." In Proceedings of the 22nd ACM international conference on Information & Knowledge Management (CIKM), 2013.

8. Junjie Yan, Zhiwei Zhang, Zhen Lei, Dong Yi, and Stan Z. Li. "Face liveness detection by exploring multiple scenic clues." In 2012 12th IEEE International Conference on Control Automation Robotics & Vision (ICARCV), 2012. Oral.

  • First place in 2011 IJCB Face Anti-spoofing Challenge.

7. Dong Cao, Zhen Lei, Zhiwei Zhang, Jun Feng, and Stan Z. Li. "Human Age Estimation Using Ranking SVM." In Chinese Conference on Biometric Recognition (CCBR), pp. 324-331. 2012.

6. Zhen Lei, Zhiwei Zhang, and Stan Z. Li. "Feature space locality constraint for kernel based nonlinear discriminant analysis." Pattern Recognition, vol. 45, no. 7 (2012): 2733-2742.

5. Zhiwei Zhang, Junjie Yan, Sifei Liu, Zhen Lei, Dong Yi, and Stan Z. Li. "A face antispoofing database with diverse attacks." In 2012 5th IAPR International Conference on Biometrics (ICB), 2012.

  • The highest cited paper of ICB 2012.

4. Zhiwei Zhang, Dong Yi, Zhen Lei, and Stan Z. Li. "Regularized transfer boosting for face detection across spectrum." IEEE Signal Processing Letters, 2012.

  • Nominated for IEEE SPL Best Paper Award.

3. Changtao Zhou, Zhiwei Zhang, Dong Yi, Zhen Lei, and Stan Z. Li. "Low-resolution face recognition via simultaneous discriminant analysis." In 2011 IEEE/IAPR International Joint Conference on Biometrics (IJCB), 2011.

2. Murali Mohan Chakka, Andre Anjos, Sebastien Marcel, Roberto Tronci, Daniele Muntoni, Gianluca Fadda, Maurizio Pili, Nicola Sirena, Gabriele Murgia, Marco Ristori, Fabio Roli, Junjie Yan, Dong Yi, Zhen Lei, Zhiwei Zhang, Stan Z Li, William Robson Schwartz, Anderson Rocha, Helio Pedrini, Javier Lorenzo-Navarro, Modesto Castrillon-Santana, Jukka Määttä, Abdenour Hadid, Matti Pietikäinen. "Competition on counter measures to 2-d facial spoofing attacks." In 2011 IEEE/IAPR International Joint Conference on Biometrics (IJCB), 2011.

1. Zhiwei Zhang, Dong Yi, Zhen Lei, and Stan Z. Li. "Face liveness detection by learning multispectral reflectance distributions." In 2011 IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2011. Oral.

Professional Activities

Reviewer for IJCAI'17, SIGIR'17, ICWSM'17, JCDL'17, HT'17, CIKM'15, SIGIR'14, ACM TiiS, IEEE TIFS, IEEE SPL, IEEE GRSL, Image and Vision Computing, IEEE Intelligent System, etc.