Baichuan Zhang (张百川)


About Me

I am a Senior Research Scientist and ML Engineer at Facebook HQ, where I work on large-scale product recommendation systems by building advanced deep neural network models to create personalized experience for Facebook Marketplace users. I obtained my PhD degree from Computer Science Department in Purdue University West Lafayette, USA, in December 2017. I am fortunately advised by Professor Mohammad Al Hasan and Professor Christopher W. Clifton.


Research Interests

Large-Scale Recommendation System and Ranking, Deep Neural Network, Representation Learning, Information Retrieval, Data Mining, Data Privacy


Recent News

  • 08/2019: Promoted to Senior Research Scientist
  • 07/2019: One paper titled "Neural-Brane: An inductive approach for attributed network embedding" gets accepted in ASONAM 2019
  • 05/2019: One paper titled "Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding" gets accepted in Data Science and Engineering Journal
  • 03/2019: One full paper titled "Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter" gets accepted in JCDL 2019
  • 01/2019: I am invited to serve in the Program Committee of SIGIR'19 and KDD'19
  • 09/2018: I am invited to serve in the Program Committee of SDM'19
  • 08/2018: One full paper got accepted in CIKM'18 industry track
  • 07/2018: I am invited to serve in the Program Committee of AAAI'19
  • 04/2018: I am invited to serve in the Program Committees of CIKM'18
  • 02/2018: I joined Facebook HQ as a research scientist in machine learning
  • 01/2018: I am invited to serve in the Program Committees of KDD'18, SIGIR'18, IJCAI'18, ICWSM'18
  • 12/2017: Paper titled "Incremental Eigenpair Computation for Graph Laplacian Matrices: Theory and Applications" accepted to Social Network Analysis and Mining
  • 11/2017: I successfully defended my PhD thesis
  • 08/2017: Paper titled "Name Disambiguation in Anonymized Graphs using Network Embedding" accepted in CIKM 2017 as a research track full paper
  • 05/2017: Started summer internship in Facebook Seattle with ads ranking core modeling
  • 04/2017: Paper titled "Feature Selection for Classification under Anonymity Constraint" accepted in Transactions on Data Privacy
  • 01/2017: My work of online name disambiguation has been featured by Yahoo Technology. Media coverage is available from here

Publications


(Google Scholar)


15. Vachik Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan: Neural-Brane: An Inductive Approach for Attributed Network Embedding, ASONAM 2019


    

14. Vachik Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan: Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding, Data Science and Engineering Journal 2019


13. Baichuan Zhang, Murat Dundar, Vachik Dave, Mohammad Al Hasan: Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter, in ACM JCDL 2019


12. Vachik Dave, Baichuan Zhang, Mohammad Al Hasan, Khalifeh Al Jadda, Mohammed Korayem: A combined representation learning approach for better job and skill recommendation, in CIKM 2018


11. Vachik Dave, Mohammad Al Hasan, Baichuan Zhang, Chandan Reddy: Predicting Interval Time for Reciprocal Link Creation using Survival Analysis, in Social Network Analysis and Mining, 2018.


10. Pin-Yu Chen, Baichuan Zhang, and Mohammad Al Hasan: Incremental Eigenpair Computation for Graph Laplacian Matrices: Theory and Applications, in Social Network Analysis and Mining, 2017, PDF


9. Baichuan Zhang, and Mohammad Al Hasan: Name Disambiguation in Anonymized Graphs using Network Embedding, in CIKM 2017 Proceedings of the 26th ACM International Conference on Information and Knowledge Management, Singapore. Research Track Full Paper. PDF


8. Baichuan Zhang, Noman Mohammed, Vachik Dave, and Mohammad Al Hasan: Feature Selection for Classification under Anonymity Constraint, in Transactions on Data Privacy, 2017, PDF


7. Baichuan Zhang, Murat Dundar, and Mohammad Al Hasan: Bayesian Non-Exhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams, in CIKM 2016 Proceedings of the 25th ACM International Conference on Information and Knowledge Management, Indianapolis, IN. Research Track Full Paper. PDF


6. Sutanay Choudhury, Khushbu Agarwal, Sumit Purohit, Baichuan Zhang, Meg Pirrung, Will Smith, and Mathew Thomas: NOUS: Construction and Querying of Dynamic Knowledge Graphs, IEEE International Conference on Data Engineering (ICDE) 2017, PDF


5. Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan, and Alfred Hero: Incremental Method for Spectral Clustering of Increasing Orders, in KDD Workshop on Mining and Learning with Graphs (MLG 2016), San Francisco, CA.  PDF


4. Baichuan Zhang, Sutanay Choudhury, Mohammad Al Hasan, Xia Ning, Khushbu Agarwal, Sumit Purohit, and Paola Pesntez Cabrera: Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs, in SDM Workshop on Mining Networks and Graphs (MNG 2016), Miami, FL. PDF


3. Murat Dundar, Qiang Kou, Baichuan Zhang, Yicheng He, and Bartek Rajwa: Simplicity of Kmeans versus Deepness of Deep Learning: A Case of Unsupervised Feature Learning with Limited Data, in IEEE International Conference on Machine Learning Applications, 2015, Miami, FL. PDF


2. Baichuan Zhang, Tanay Kumar Saha, and Mohammad Al Hasan: Name Disambiguation from link data in a collaboration graph using temporal and topological features, in Social Network Analysis and Mining, 2015, PDF


1. Baichuan Zhang, Tanay Kumar Saha, and Mohammad Al Hasan: Name Disambiguation from link data in a collaboration graph, in 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM Beijing, China. PDF

Industrial Experience


  • 08/2019 - Present: Senior Research Scientist, Facebook Marketplace, Menlo Park CA
  • 02/2018 - 07/2019: Research Scientist, Facebook Marketplace, Menlo Park CA
  • 05/2017-08/2017: Software Engineering PhD Intern, Ads Ranking Team, Facebook, Seattle WA
  • 05/2016-08/2016: Big Data Engineer Intern, Apache Spark Team, Hortonworks, Santa Clara CA
  • 05/2015-08/2015: Research Intern, Pacific Northwest National Laboratory, Richland WA


Professional Service


  • Program Committee Member: KDD'19, AAAI'19, SDM'19, SIGIR'19, CIKM'18, KDD'18, SIGIR'18, IJCAI'18, ICWSM'18
  • Invited Journal Review: TKDE, TKDD, KAIS, TIST, DMKD

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