Muhao Chen

  Postdoctoral Fellow
   
   Department of Computer and Information Science,
   University of Pennsylvania.
   Office: 3401 Walnut St., 458c (Sometimes: 3300 Walnut St., 057)
   Email: muhaochen [Shift+2] ucla.edu; or muhao [Shift+2] seas.upenn.edu
   
   CV   Calendar
 


I am currently working with Prof. Dan Roth as a Postdoctoral Fellow. I have received my Ph.D. degree in Computer Science from UCLA, where I worked with Professors Carlo Zaniolo, Kai-Wei Chang, Wei Wang and Yizhou Sun. My research focuses on data-driven machine learning approaches for processing structured and unstructured data, and extending their applications to natural language understanding, knowledge base construction, computational biology and medical informatics. Particularly, I am interested in developing knowledge-aware learning systems with generalizability and requiring minimal supervision. Before joining UCLA as a Ph.D. student, I graduated with a Bachelor degree from Fudan University in 2014 where I worked with Prof. X. Sean Wang.

News 
Education 
  • Ph.D. in Computer Science, University of California Los Angeles, Sept 2014 - June 2019.
  • B.S. in Computer Science, Fudan University, Sept. 2010 - June 2014.
Publication 

    By Categories  In Chronological Order

    Representation learning for structured data
  • Zequn Sun, Qingheng Zhan, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li. A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs. Proceedings of the VLDB Endowment (PVLDB), vol. 13, ACM, 2020.
  • Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu. Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation. In Proceedings of the 34th AAAI International Conference on Artificial Intellignence (AAAI), 2020. [pdf]
  • Muhao Chen, Kai-Wei Chang, Dan Roth. Recent Advances in Transferable Representation Learning. AAAI Tutorials, 2020. [pdf][website]
  • Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang. Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019 [pdf][git][video](Oral Presentation, acceptance rate ~ 9.1%)
  • Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo. Embedding Uncertain Knowledge Graphs. In Proceedings of the 33rd AAAI International Conference on Artificial Intellignence (AAAI). 2019 [pdf][code]
  • Qingheng Zhang*, Zequn Sun*, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu. Multi-view Knowledge Graph Embedding for Entity Alignment. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019 [pdf]
  • Zequn Sun, Jiacheng Huang, Wei Hu, Muhao Chen, Yuzhong Qu. TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs. In Proceedings of the 18th International Semantic Web Conference (ISWC), 2019 [pdf]
  • Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu. Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019.[pdf]
  • Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena. Fast and Accurate Network Embeddings via Very Sparse Random Projection. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019.[pdf]
  • Muhao Chen, Chris Quirk. Embedding Edge-attributed Relational Hierarchies. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019 [pdf][git]
  • Yingtao Tian, Haochen Chen, Bryan Perozzi, Muhao Chen, Xiaofei Sun, Steven Skiena. Social Relation Inference via Label Propagation. In Proceedings of the 41st European Conference on Information Retrieval (ECIR), 2019.
  • Changjun Fan, Yizhou Sun, Li Zeng, Yang-Yu Liu, Muhao Chen, Zhong Liu. Dismantle Large Networks through Deep Reinforcement Learning. In ICLR Workshops, 2019.
  • 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][data]
  • Haochen Chen, Xiaofei Sun, Yingtao Tian, Bryan Perozzi, Muhao Chen and Steven Skiena. Enhanced Network Embeddings via Exploiting Edge Labels. In Proceedings of the 27th ACM Conference on Information and Knowledge Management (CIKM). ACM 2018.
  • 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]
  • 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]
  • 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)

  • Knowledge acquistion from unstructued data
  • Guangyu Zhou*, Muhao Chen*, Chelsea Ju*, Zheng Wang, Jyun-Yu Jiang, Wei Wang. Mutation effect estimation on protein-protein interactions using deep contextualized representation learning. NAR Genom. Bioinform. 2 (2), Oxford University Press, 2020. [pdf][git].
  • 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. Bioinformatics, 35 (14), Oxford University Press, 2019. Proceedings of ISMB/ECCB, 2019 [pdf][git][data]
  • Weijia Shi*, Muhao Chen*, Pei Zhou, Kai-Wei Chang. Retrofitting Contextualized Word Embeddings with Paraphrases. In Proceedings of the 24th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019[slides]
  • Muhao Chen*, Yingtao Tian*, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo. Learning to Represent Bilingual Dictionaries. In the 23rd SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2019 [pdf][git]
  • Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo. Neural Article Pair Modeling for Wikipedia Sub-article Matching. In Proceedings of the 29th European Conference on Machine Learning (ECML), 2018. [pdf][git][slides] (Plenary Presentation, acceptance rate ~1.7%)
  • Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang. Learning Bilingual Word Embeddings Using Lexical Definitions. In Proceedings of the 4th ACL Workshop on Representation Learning for NLP (RepL4NLP), 2019.
  • 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]
  • 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]

  • AI for the common good
  • Guangyu Zhou*, Muhao Chen*, Chelsea Ju*, Zheng Wang, Jyun-Yu Jiang, Wei Wang. Mutation effect estimation on protein-protein interactions using deep contextualized representation learning. NAR Genom. Bioinform. 2 (2), Oxford University Press, 2020. [pdf][git].
  • Junheng Hao, Chelsea Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang. Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases. In Proceedings of the 11st ACM Conference on Bioinform., Comput. Bio. and Biomed. (ACM BCB), 2020. [preprint]
  • Tianran Zhang, Muhao Chen, Alex Bui. Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events. In Proceedings of the 18th International Conference on Artificial Intelligence in Medicine (AIME), 2020.[pdf]
  • 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. Bioinformatics, 35 (14), Oxford University Press, 2019. Proceedings of ISMB/ECCB, 2019 [pdf][git][data]
  • Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang. Examining Gender Bias in Languages with Grammatical Gender. In Proceedings of the 24th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019 [pdf]

  • General AI topics
  • Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville. ReadNet: A Hierarchical Transformer Framework for Readability Analysis. In Proceedings of the 42nd European Conference on Information Retrieval (ECIR), 2020. [pdf]
  • Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo. Learning to Differentiate Between Main-articles and Sub-articles in Wikipedia. In Proceedings of 2019 IEEE International Conference on Big Data (BigData), 2019.[pdf]
  • 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
  • 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]
  • 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]
  • 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]
  • Muhao Chen, Shi Gao, X. Sean Wang. Converting Spatiotemporal Data Among Heterogeneous Granularity Systems. In Proceedings of the 25th IEEE International Conference on Fuzzy System (FUZZ-IEEE), IEEE 2016 (Oral) [pdf][slides]
  • 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), 2015 (system demonstration) [pdf][project]
Technical Reports 
  • Muhao Chen. Knowledge Acquisition with Transferable and Scalable Representation Learning. Research Statement 2019
  • 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)
    • Research 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 Fellowship. 2018-2019
    • Google Research & Travel Support Archimedes Program. 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 
    • Senior PC member.
      2021: AAAI
    • PC member.
      2021: WSDM 2020: AAAI, AACL, AKBC, COLING, EMNLP, IJCAI, ISWC, KDD, SIGIR, WSDM, *SEM
      2019: AAAI, AKBC, NAACL, ACL, EMNLP, BigData, WISE, NLPCC, SoCALNLP, AIKE (Doctoral Consortium Chair)
      2018: AAAI, BigData, EMNLP, NLPCC, SoCal NLP
    • Journal Reviewer: W3J, TKDD, TNNLS, TKDE, BMC Genomics, BMC Medical Genomics, Information Sciences, Frontiers of Computer Science, Clinical and Translational Medicine.
    Teaching