Publication

    In Chronological Order  By Categories

    Knowledge acquistion from unstructured data
  • Wenxuan Zhou, Fangyu Liu, Muhao Chen. Contrastive Out-of-Distribution Detection for Pretrained Transformers. In Proceedings of the 36th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
  • Wenxuan Zhou, Muhao Chen. Learning from Noisy Labels for Entity-Centric Information Extraction. In Proceedings of the 36th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
  • Haoyu Wang, Hongming Zhang, Muhao Chen, Dan Roth. Learning Constraints and Descriptive Segmentation for Subevent Detection. In Proceedings of the 36th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
  • Xiyang Zhang, Muhao Chen, Jonathan May. Salience-Aware Event Chain Modeling for Narrative Understanding. In Proceedings of the 36th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
  • Fei Wang, Kexuan Sun, Jay Pujara, Pedro Szekely, Muhao Chen. Table-based Fact Verification With Salience-aware Learning. In Proceedings of the 36th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2021.
  • Mingyu Ma, Muhao Chen, Te-lin Wu, Nanyun Peng. HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning. In Proceedings of the 36th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2021.
  • Muhao Chen, Hongming Zhang, Qiang Ning, Manling Li, Heng Ji, Dan Roth. Event-Centric Natural Language Understanding. Tutorial at AAAI, 2021. [pdf]
  • Muhao Chen, Hongming Zhang, Qiang Ning, Manling Li, Heng Ji, Kathleen McKeown, Dan Roth. Event-Centric Natural Language Processing. Tutorial at ACL, 2021.
  • Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren. Do Language Models Perform Generalizable Commonsense Inference? In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL) - Findings, 2021.
  • 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, Hongming Zhang, Haoyu Wang, Dan Roth. "What Are You Trying to Do?" Semantic Typing of Event Processes. In Proceedings of the 24th SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2020. [pdf][slides][demo][paper list](Best Paper Nomination)
  • Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth. Joint Constrained Learning for Event-event Relation Extraction. In Proceedings of the 25th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
  • Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth. Analogous Process Structure Induction for Sub-event Sequence Prediction. In Proceedings of the 25th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
  • 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][video]
  • Muhao Chen*, Weijia Shi*, 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]

  • Representation learning for structured data
  • Zequn Sun, Muhao Chen, Wei Hu. Knowing the No-match: Entity Alignment with Dangling Cases. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021.
  • Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier. Visual Pivoting for (Unsupervised) Entity Alignment. In Proceedings of the 35th AAAI International Conference on Artificial Intellignence (AAAI), 2021.
  • Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang. Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks. In Proceedings of the 35th AAAI International Conference on Artificial Intellignence (AAAI), 2021.
  • Muhao Chen*, Weijia Shi*, Ben Zhou, Dan Roth. Cross-lingual Entity Alignment with Incidental Supervision. In the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021.
  • Xuelu Chen*, Michael Boratko*, Muhao Chen, Shib Sankar Dasgupta, Xiang Li, Andrew McCallum. Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. In the 19th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
  • Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro Szekely. Retrieving Complex Tables with Multi-Granular Graph Representation Learning. In the 44th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021.
  • 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, Muhao Chen, Wei Hu, Chengming Wang. Knowledge Association with Hyperbolic Representation Learning of Knowledge Graphs. In Proceedings of the 25th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
  • Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda‎, Yizhou Sun, Carlo Zaniolo. Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer. In Proceedings of the 25th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 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. Tutorial at AAAI, 2020. [pdf][website]
  • 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](ACM SIGBio Best Student Paper Award)
  • 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)
  • 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, 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)

  • AI for the common good
  • Jyun-Yu Jiang, Chelsea J.-T. Ju, Junheng Hao, Muhao Chen, Wei Wang. Circular RNA Prediction based on Junction Encoders and Deep Interaction among Splice Sites. To appear in Bioinformatics, Oxford University Press, 2021. Proceedings of ISMB/ECCB, 2021.
  • 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].
  • 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.[preprint][pdf]
  • 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*, 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][video]
  • 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
  • Jay Pujara, Pedro Szekely, Huan Sun, Muhao Chen. From Tables to Knowledge: Recent Advances in Table Understanding. Tutorial at KDD, 2021.
  • Minh Pham, Craig Knoblock, Muhao Chen, Binh Vu, Jay Pujara. SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables. In the 30th International Joint Conferences on Artificial Intelligence (IJCAI), 2021.
  • Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara. Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. In the 30th ACM International Conference on Information and Knowledge Management (CIKM), 2021.
  • 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]