Muhao Chen

  Ph.D. Candidate
   
   Department of Computer Science,
   University of California, Los Angeles.
   Office: BH3551/Engr VI 368
   Email: muhaochen [Shift+2] ucla.edu
CV   My Calendar   Note
 


I am a Ph.D. candidate in Department of Computer Science, University of California, Los Angeles. I work with Prof. Carlo Zaniolo at ScAi after joining UCLA in 2014. I have also been working closely with Prof. Kai-Wei Chang since 2017. My current research interest includes natural language processing, knowledge bases and graph representation learning. My recent research has comprehensively extended representation learning models to capture various properties of multi-relational data, including multilinguality, uncertainty, and logical properties. Some of my work also addresses label-less and data-less learning problems with semi-supervised co-training and joint/multi-task learning. I have also worked on deep-learning for large-scale relation extraction of sequence data, and extends such techniques to other areas such as bioinformatics and computer networks. Before joining UCLA as a Ph.D. student, I worked with Prof. X. Sean Wang and graduated with a Bachelor degree with honor from Fudan University in 2014.

News 
  • I have successfully defended my dissertation on March 19, 2019.
Education 
  • Ph.D. Candidate, Department of Computer Science, University of California Los Angeles, Sept 2014 - Now.
  • B.S. in Computer Science, Fudan University, Sept. 2010 - June 2014.
Research Interests
  • Knowledge Bases
  • Natural Language Processing
  • Data Mining (Graphs)
  • Bioinformatics
Publication 

    2019
  1. Muhao Chen*, Chelsea Ju*, Guangyu Zhou, Xuelu Chen, Tianran Zhang, Kai-Wei Chang, Carlo Zaniolo, Wei Wang. Multifaceted Protein-Protein Interaction Prediction Based on Siamese Residual RCNN. To appear in Bioinformatics, Oxford University Press, 2019. Special issue featuring ISMB/ECCB, 2019 [pdf][git]
  2. Muhao Chen, Chris Quirk. Embedding Edge-attributed Relational Hierarchies. To Appear in the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019
  3. Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo. Learning to Represent Bilingual Dictionaries. Arxiv Preprint. [pdf]
  4. Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo. Embedding Uncertain Knowledge Graphs. In the 33rd AAAI International Conference on Artificial Intellignence (AAAI). 2019 [pdf][code]
  5. Qi Zhao, Muhao Chen, Pengyuan Du, Tuan Le, Mario Gerla. Towards Efficient Cellular Traffic Offloading via Dynamic MPTCP Path Configuration with SDN. In IEEE International Conference on Computing, Networking and Communications (ICNC), 2019
  6. Yingtao Tian, Haochen Chen, Bryan Perozzi, Muhao Chen, Xiaofei Sun, Steven Skiena. Social Relation Inference via Label Propagation. In the 40th European Conference on Information Retrieval (ECIR), 2019.

  7. 2018
  8. Carlo Zaniolo, Shi Gao, Maurizio Atzori, Muhao Chen, Jiaqi Gu. User-Friendly Temporal Queries on Historical Knowledge Bases. In Information and Computation 259(3), Elsevier 2018 [pdf]
  9. Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo. Neural Article Pair Modeling for Wikipedia Sub-article Matching. In the 29th European Conference on Machine Learning (ECML), 2018. [pdf][git][slides] (Plenary Presentation, acceptance rate ~1.7%)
  10. Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo. Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018. [pdf][slides]
  11. Haochen Chen, Xiaofei Sun, Yingtao Tian, Bryan Perozzi, Muhao Chen and Steven Skiena. Enhanced Network Embeddings via Exploiting Edge Labels. In the 27th ACM Conference on Information and Knowledge Management (CIKM). ACM 2018.
  12. Muhao Chen, Yingtao Tian, Xuelu Chen, Z. Xue, Carlo Zaniolo. On2Vec: Embedding-based Relation Prediction for Ontology Population. In Proceedings of the 17th SIAM International Conference on Data Mining (SDM), SIAM 2018. [pdf][code]
  13. Pengyuan Du, Seunghyun Yoo, Qi Zhao, Muhao Chen, Mario Gerla. Towards Opportunistic Resource Sharing in Mobile Social Networks - an Evolutionary Game Theoretic Approach. In Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), ACM 2018. [pdf]
  14. Muhao Chen, Qi Zhao, Pengyuan Du, Carlo Zaniolo, Mario Gerla. Demand-driven Cache Allocation Based on Context-aware Collaborative Filtering. In Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), ACM 2018.
  15. Pei Zhou, Muhao Chen, Kai-Wei Chang, Carlo Zaniolo. Quantification and Analysis of Scientific Language Variation Across Research Fields. In Proceedings of the 2018 IEEE International Conference on Data Mining Workshops (ICDMW), IEEE 2018. (Congratulations to my undergraduate collaborator Pei)[pdf]
  16. Yingtao Tian, Haochen Chen, Bryan Perozzi, Muhao Chen, Xiaofei Sun, Steven Skiena. Social Relation Inference via Label Propagation. 14th KDD Workshop on Mining and Learning with Graphs (MLG), 2018.[pdf]

  17. 2017
  18. Muhao Chen, Yingtao Tian, Mohan Yang, Carlo Zaniolo. Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), IJCAI/AAAI Press 2017. [pdf][code][data][slides]
  19. Muhao Chen, Carlo Zaniolo. Learning Multi-faceted Knowledge Graph Embeddings for Natural Language Processing. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), IJCAI/AAAI Press 2017 (Poster) [pdf]
  20. Muhao Chen, Tao Zhou, Pei Zhou, Carlo Zaniolo. Multi-graph Affinity Embeddings for Multilingual Knowledge Graphs. In Automated Knowledge Base Construction at NIPS (AKBC). 2017. (Contributed Talk)
  21. Tao Zhou, Muhao Chen, Jie Yu, Demetri Terzopoulos. Attention-based Natural Language Person Retrieval. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE 2017 [pdf]

  22. 2016
  23. Muhao Chen, Shi Gao, X. Sean Wang. Converting Spatiotemporal Data Among Heterogeneous Granularity Systems. In the Proceedings of the 25th IEEE International Conference on Fuzzy System (FUZZ-IEEE), IEEE 2016 (Oral) [pdf][slides]
  24. Muhao Chen, Shi Gao, Jingheng Zhou, X. Sean Wang. Converting Spatiotemporal Data Among Multiple Granularity Systems. In Proceedings of the 31st ACM/SIGAPP Symposium on Applied Computing (SAC), ACM 2016 [pdf][poster]

  25. 2015
  26. Shi Gao, Muhao Chen, Maurizio Atzori, Jiaqi Gu, Carlo Zaniolo. SPARQLT and its User-Friendly Interface for Managing and Querying the History of Knowledge Bases. In the 14th International Semantic Web Conference (ISWC), Springer 2015 [pdf][project]
Technical Reports 
  • Muhao Chen. Learning Knowledge Graph Embeddings for Natural Language Processing. UCLA CSD Technical Report 170002, 2017. (Doctoral Prospectus, OQE passed in Mar 2017)
  • Muhao Chen. Converting Spatiotemporal Data Among Multiple Granularity Systems. UCLA CSD Technical Report 150001, 2015. (WQE, passed in May 2015)
  • Industrial Experience 
    • Research Intern, Microsoft Research Redmond. June 2018 - Sept 2018 (with Chris Quirk)
    • RSDE Intern, Google, Mountain View. June 2017 - Sept 2017 (Google Knowledge Graph)
    • SDE Intern, Google, Mountain View. June 2016 - Sept 2016 (Youtube Real-time Data Infrastructure)
    • R&D Intern, Teradata Labs, El Segundo. June 2015 - Sept 2015 (Multi-task Learning for Cost-based DB Optimizer with Kuorong Chiang)
    Awards and Grants 
    • UCLA Dissertation Year Fellowship. 2018-2019
    • Google Research & Travel Support Archimedes Program. 2018
    • NSF Travel Award. 2017, 2018
    • Research Grant of National University Student Innovation Program. Ministry of Education of China. 2014
    • Wang-Dao Scholarship. Fudan University. 2014
    • EMC Scholarship. 2013
    • Chun-Tsung Scholarship. Hui-Chun Chin and Tsung-Dao Lee Chinese Undergraduate Research Endowment. 2013
    • Tung OOCL Scholarships. 2012, 2013.
    Professional Services 
    • PC member.
      2019: AAAI, AKBC, NAACL, ACL, BigData, AIKE (Doctoral Consortium Chair)
      2018: AAAI, BigData, EMNLP, NLPCC, SoCal NLP
    • Journal Reviewer: TKDD, Frontiers of Computer Science
    • Co-reviewer: SIGMOD-15, VLDB-15, EDBT-15, ICDM 15-16, KDD-16, CIKM-16, ICDE-17, SDM 17-18, KDD-18, IEEE Big Data'17
    Teaching 
    Referees 
     
         
         
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