Book
Preprint
2023
Jiaming Shen , Jialu Liu, Dan Finnie, Negar Rahmati, Michael Bendersky, and Marc Najork. "Why is this misleading?": Detecting News Headline Hallucinations with Explanations , In Proc. of The ACM 2023 Web Conference (WWW 2023 ).
[Dataset ]
[Slides ]
Yizhu Jiao, Ming Zhong, Jiaming Shen , Yunyi Zhang, Chao Zhang, and Jiawei Han. Unsupervised Event Chain Mining from Multiple Documents , In Proc. of The ACM 2023 Web Conference (WWW 2023 ).
Jiaying Lu, Jiaming Shen , Bo Xiong, Wenjing Ma, Steffen Staab, and Carl Yang. HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting , In Proc. of The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023 ).
Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen , You Wu, Luke Zettlemoyer, and Huan Sun. Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters , In Proc. of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 ).
[ICLR (ME-FoMo Workshop) Version ]
[Code ]
Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen , and Chao Zhang. Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach , In Proc. of The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 ).
[Code ]
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen , and Chao Zhang. ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval , In Proc. of The Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL Findings 2023 ).
[Code and Dataset ]
Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen , Xuanhui Wang, Michael Bendersky, and Marc Najork. Towards Disentangling Relevance and Bias in Unbiased Learning to Rank , In Proc. of 29th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD 2023 ).
Rongzhi Zhang, Yue Yu, Jiaming Shen , Xiquan Cui, and Chao Zhang. Local Boosting for Weakly-Supervised Learning , In Proc. of 29th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD 2023 ).
Sizhe Zhou, Suyu Ge, Jiaming Shen , and Jiawei Han. Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns , In Proc. of The 2023 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2023 ).
2022
Dongha Lee, Jiaming Shen , Seonghyeon Lee, Susik Yoon, Hwanjo Yu, and Jiawei Han. Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation , In Proc. of The Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings 2022 ).
Yunyi Zhang, Fang Guo, Jiaming Shen , and Jiawei Han. Unsupervised Key Event Detection from Massive Text Corpus , In Proc. of 2022 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD 2022 ).
[Code ]
Yiqing Xie, Jiaming Shen , Sha Li, Yuning Mao, and Jiawei Han. EIDER: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion , In Proc. of The Findings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022 (Findings) ).
[Code ]
Xiaotao Gu, Yikang Shen, Jiaming Shen , Jingbo Shang, and Jiawei Han. Phrase-aware Unsupervised Constituency Parsing , In Proc. of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022 ).
Dongha Lee, Jiaming Shen , SeongKu Kang, Susik Yoon, Jiawei Han, and Hwanjo Yu. TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters , In The 33rd International Conference in the Web (WWW 2022 ).
[Code ]
2021
Jiaming Shen , Yunyi Zhang, Heng Ji, and Jiawei Han. Corpus-based Open-Domain Event Type Induction , In Proc. of The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021 ).
[Code ]
[Data ]
Jiaming Shen , Jialu Liu, Tianqi Liu, Cong Yu, and Jiawei Han. Training ELECTRA Augmented with Multi-word Selection , In Proc. of The Findings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021 (Findings) ).
[Code ]
Jiaming Shen , Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, and Jiawei Han. TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names , In Proc. of The 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021 ).
[Data ]
Jiaming Shen , Xiaotao Gu, Yu Meng, and Jiawei Han. Automated Taxonomy Discovery and Exploration , In Proc. of The 2021 IEEE International Conference on Data Mining (ICDM 2021 Tutorial ).
[Slides ]
Xiangchen Song, Jiaming Shen , Jieyu Zhang, and Jiawei Han. Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion , In 2021 WWW workshop on Self-Supervised Learning for the Web (SSL@WWW 2021 ).
Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen , Yuning Mao, and Lei Li. Taxonomy Completion via Triplet Matching Network , In Proc. of The 35th AAAI Conference on Artificial Intelligence (AAAI 2021 ).
[Code ]
2020
Jiaming Shen* , Wenda Qiu*, Jingbo Shang, Michelle Vanni, Xiang Ren, and Jiawei Han. SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery , In Proc. of The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020 ).
[Data ]
[Slide ]
Jiaming Shen , Heng Ji, and Jiawei Han. Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding , In Proc. of The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020 ).
[Code & Data ]
[Slide ]
Jiaming Shen , Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, and Jiawei Han. TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network , In The 31st International Conference in the Web (WWW 2020 ).
[Code & Data ]
[Blog Post ]
[Recorded Presentation ]
Yunyi Zhang, Jiaming Shen , Jingbo Shang, and Jiawei Han. Empower Entity Set Expansion via Language Model Probing , In The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020 ).
[Code & Data ]
Dominic Seyler, Jiaming Shen , Jinfeng Xiao, Yiren Wang, and ChengXiang Zhai. Leveraging Personalized Sentiment Lexicons for Sentiment Analysis , In The 10th International Conference on the Theory of Information Retrieval (ICTIR 2020 ).
Yue Yu, Yinghao Li, Jiaming Shen , Hao Feng, Jimeng Sun, and Chao Zhang. STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths , In The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020 ).
[Code & Data ]
Wanzheng Zhu, Hongyu Gong, Jiaming Shen , Chao Zhang, Jingbo Shang, Suma Bhat, and Jiawei Han. FUSE: Multi-faceted set expansion by coherent clustering of skip-grams , In The 2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2020 ).
Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen , Yunyi Zhang, and Jiawei Han. Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion , In The 31st International Conference in the Web (WWW 2020 ).
2019
Jiaming Shen , Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian Sadler, and Jiawei Han. Mining Entity Synonyms with Efficient Neural Set Generation , In The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019 ).
[Code ]
[Full Documentation ]
[Data ]
[Slide ]
Yu Shi* , Jiaming Shen* , Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, and Jiawei Han. Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity , In The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019 ).
[Code ]
Yu Meng, Jiaming Shen , Chao Zhang, and Jiawei Han. Weakly-Supervised Hierarchical Text Classification , In The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019 ).
[Code ]
[Slide ]
Jingbo Shang, Jiaming Shen , Liyuan Liu, and Jiawei Han. Constructing and Mining Heterogeneous Information Networks from Massive Text , In The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2019 Tutorial ).
Junyi Du, He Jiang, Jiaming Shen , and Xiang Ren. Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis , In The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019 ).
[Code & Data ]
2018
Jiaming Shen , Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, and Donald Metzler. Multi-Task Learning for Personal Search Ranking with Auxiliary Query Clustering , In The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018 ).
[Code ]
[Slide ]
Jiaming Shen , Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, and Jiawei Han. HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion , In The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018 ).
[Code ]
Jiaming Shen , Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, and Jiawei Han. Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach , In The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2018 ).
[Code ]
Jiaming Shen , Jinfeng Xiao, Yu Zhang, Carl Yang, Jingbo Shang, Jinda Han, Saurabh Sinha, Peipei Ping, Richard Weinshilboum, Zhiyong Lu and Jiawei Han, SetSearch+: Entity-Set-Aware Search and Mining for Scientific Literature , In The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018 Demo Track ).
[System ]
Yu Meng, Jiaming Shen , Chao Zhang, and Jiawei Han. Weakly-Supervised Neural Text Classification , In The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018 ).
[Code ]
Jingbo Shang, Jiaming Shen , Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, Adam Lelkes, Cong Yu, and Jiawei Han. Investigating Rumor News Using Agreement Aware Search , In The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018 ).
Hanwen Zha, Jiaming Shen , Keqian Li, Warren Greiff, Michelle Vanni, Jiawei Han and Xifeng Yan, FTS: Faceted Taxonomy Construction and Search for Scientific Publications , In The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018 Demo Track ).
[System ]
[Demo Video ]
Jingbo Shang, Qi Zhu, Jiaming Shen , Xuan Wang, Xiaotao Gu, Lance Kaplan, Timothy Harratty and Jiawei Han, AutoNet: Automated Network Construction and Exploration System from Domain-Specific Corpora , In The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018 Demo Track ).
Yuning Mao, Xiang Ren, Jiaming Shen , and Jiawei Han. End-to-End Reinforcement Learning for Automatic Taxonomy Induction , In The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018 ).
[Code ]
Jingbo Shang, Chao Zhao, Jiaming Shen , and Jiawei Han. Towards Multidimensional Analysis of Text Corpora", In The 24th ACM SIGKDD International Conference on Knowledge (KDD 2018 ).
[Tutorial Website ]
Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen , Meng Jiang, Brian M. Sadler, Michelle T. Vanni, and Jiawei Han. TaxoGen: Constructing Topical Concept Taxonomy by Adaptive Term Embedding and Clustering , In The 24th ACM SIGKDD International Conference on Knowledge (KDD 2018 ).
[Code ]
2017
Jiaming Shen* , Zeqiu Wu* , Dongming Lei, Jingbo Shang, Xiang Ren, and Jiawei Han, SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble , In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2017 ).
[Code ]
[Data ]
Xiang Ren, Jiaming Shen , Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard Weinshilboum, and Jiawei Han, Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences , In The 55th annual meeting of the Association for Computational Linguistics (ACL 2017 System Demo ).
2016
2015
Jiaming Shen , Zhenyu Song, Shitao Li, Zhaowei Tan, Yuning Mao, Luoyi Fu, Li Song, and Xinbing Wang, Modeling Topic-level Academic Influence in Scientific Literatures , In The Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016 ) Workshop on Scholarly Big Data.
[Slide ]
Jiaming Shen , Zhaowei Tan, Luoyi Fu, and Xinbing Wang, Trend Analysis of Top-tier Conferences in Computer Network Field , In Communications of the China Computer Federation , 11(9), 62-66, 2015 .
Zhaowei Tan, Changfeng Liu, Yuning Mao, Jiaming Shen , Bin Wang, Luoyi Fu, Li Song, and Xinbing Wang, AceMap: A Novel Approach towards Displaying Relationship among Academic Literatures , In The 25th International World Wide Web Conference (WWW 2016 ).
[System ]