Jiawei Han
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
697
Venues
26
Active years
2015–2026
Best venue rank
A*
Where they publish
- A*EMNLP47 papers
- A*KDD44 papers
- A*WWW37 papers
- A*ACL34 papers
- ACIKM17 papers
- AWSDM16 papers
- A*ICDM15 papers
- A*ICLR14 papers
- ANAACL14 papers
- A*AAAI10 papers
- A*ICML8 papers
- A*SIGIR8 papers
- ASDM8 papers
- A*IJCAI6 papers
- A*ICDE5 papers
- A*SIGMOD3 papers
- AEACL2 papers
- A*CVPR2 papers
- BCOLING2 papers
- BEDBT2 papers
- A*ECCV1 paper
- NationalWSC1 paper
- NationalPSB1 paper
- Journal PublishedPG1 paper
- AICWSM1 paper
- BRECOMB1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Grounding Agent Memory in Contextual Intent. | Ruozhen Yang, Yucheng Jiang, Yueqi Jiang, Priyanka Kargupta, Yunyi Zhang, Jiawei Han |
| 2026 | ACL | RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking. | Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He |
| 2026 | EACL | Zero-Shot Open-Schema Entity Structure Discovery. | Xueqiang Xu, Jinfeng Xiao, James Barry, Mohab Elkaref, Jiaru Zou, Pengcheng Jiang, Yunyi Zhang, Maxwell J. Giammona, Geeth De Mel, Jiawei Han |
| 2026 | WWW | PairSem: LLM-Guided Pairwise Semantic Matching for Scientific Document Retrieval. | Wonbin Kweon, Runchu Tian, Seongku Kang, Pengcheng Jiang, Zhiyong Lu, Jiawei Han, Hwanjo Yu |
| 2026 | WWW | WiNELL: Wikipedia Never-Ending Updating with LLM Agents. | Revanth Gangi Reddy, Tanay Dixit, Jiaxin Qin, Cheng Qian, Daniel Lee, Jiawei Han, Kevin Small, Xing Fan, Ruhi Sarikaya, Heng Ji |
| 2025 | AAAI | Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations. | Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han |
| 2025 | ACL | Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? | Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han |
| 2025 | ACL | Synergistic Weak-Strong Collaboration by Aligning Preferences. | Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao |
| 2025 | ACL | Synergizing Unsupervised Episode Detection with LLMs for Large-Scale News Events. | Priyanka Kargupta, Yunyi Zhang, Yizhu Jiao, Siru Ouyang, Jiawei Han |
| 2025 | ACL | Tree-of-Debate: Multi-Persona Debate Trees Elicit Critical Thinking for Scientific Comparative Analysis. | Priyanka Kargupta, Ishika Agarwal, Tal August, Jiawei Han |
| 2025 | ACL | Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims. | Priyanka Kargupta, Runchu Tian, Jiawei Han |
| 2025 | ACL | TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora. | Priyanka Kargupta, Nan Zhang, Yunyi Zhang, Rui Zhang, Prasenjit Mitra, Jiawei Han |
| 2025 | ACL | A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion. | Yanzhen Shen, Yu Zhang, Yunyi Zhang, Jiawei Han |
| 2025 | CVPR | Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding. | Changshuo Wang, Shuting He, Xiang Fang, Jiawei Han, Zhonghang Liu, Xin Ning, Weijun Li, Prayag Tiwari |
| 2025 | CVPR | GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs. | Yi Fang, Bowen Jin, Jiacheng Shen, Sirui Ding, Qiaoyu Tan, Jiawei Han |
| 2025 | EMNLP | s3: You Don't Need That Much Data to Train a Search Agent via RL. | Pengcheng Jiang, Xueqiang Xu, Jiacheng Lin, Jinfeng Xiao, Zifeng Wang, Jimeng Sun, Jiawei Han |
| 2025 | EMNLP | Topic Coverage-based Demonstration Retrieval for In-Context Learning. | Wonbin Kweon, SeongKu Kang, Runchu Tian, Pengcheng Jiang, Jiawei Han, Hwanjo Yu |
| 2025 | EMNLP | PropRAG: Guiding Retrieval with Beam Search over Proposition Paths. | Jingjin Wang, Jiawei Han |
| 2025 | EMNLP | Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking. | Yunyi Zhang, Ruozhen Yang, Siqi Jiao, SeongKu Kang, Jiawei Han |
| 2025 | ICLR | Law of the Weakest Link: Cross Capabilities of Large Language Models. | Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten |
| 2025 | ICLR | A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts. | Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng |
| 2025 | ICLR | Scaling Diffusion Language Models via Adaptation from Autoregressive Models. | Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong |
| 2025 | ICLR | Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. | Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han |
| 2025 | ICLR | Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. | Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan . Arik |
| 2025 | ICLR | RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph. | Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu |
| 2025 | ICML | LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. | Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan . Arik |
| 2025 | IJCAI | CoDiCast: Conditional Diffusion Model for Global Weather Forecasting with Uncertainty Quantification. | Jimeng Shi, Bowen Jin, Jiawei Han, Sundararaman Gopalakrishnan, Giri Narasimhan |
| 2025 | KDD | Retrieval And Structuring Augmented Generation with Large Language Models. | Pengcheng Jiang, Siru Ouyang, Yizhu Jiao, Ming Zhong, Runchu Tian, Jiawei Han |
| 2025 | WWW | TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. | Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Rui Li, Jinfeng Xiao, Jiaming Shen, Jiawei Han |
| 2025 | WWW | Chain-of-Factors Paper-Reviewer Matching. | Yu Zhang, Yanzhen Shen, SeongKu Kang, Xiusi Chen, Bowen Jin, Jiawei Han |
| 2025 | WWW | Retrieval and Structuring Augmented Generation with LLMs for Web Applications. | Yizhu Jiao, Siru Ouyang, Ming Zhong, Yunyi Zhang, Linyi Ding, Sizhe Zhou, Jiawei Han |
| 2025 | SIGIR | Multimodal Search in Chemical Documents and Reactions. | Ayush Kumar Shah, Abhisek Dey, Leo Luo, Bryan Amador, Patrick Philippy, Ming Zhong, Siru Ouyang, David Mark Friday, David Bianchi, Nick Jackson, Richard Zanibbi, Jiawei Han |
| 2025 | WSDM | Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. | SeongKu Kang, Bowen Jin, Wonbin Kweon, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu |
| 2024 | AAAI | Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. | Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han |
| 2024 | ACL | Text2DB: Integration-Aware Information Extraction with Large Language Model Agents. | Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han |
| 2024 | ACL | Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. | Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han |
| 2024 | ACL | PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. | Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu |
| 2024 | ACL | ActionIE: Action Extraction from Scientific Literature with Programming Languages. | Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han |
| 2024 | COLING | ILCiteR: Evidence-grounded Interpretable Local Citation Recommendation. | Sayar Ghosh Roy, Jiawei Han |
| 2024 | EACL | Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. | Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji |
| 2024 | ECCV | Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation. | Jiawei Han, Kaiqi Liu, Wei Li, Guangzhi Chen |
| 2024 | EMNLP | A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. | Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han |
| 2024 | EMNLP | Topic-Oriented Open Relation Extraction with A Priori Seed Generation. | Linyi Ding, Jinfeng Xiao, Sizhe Zhou, Chaoqi Yang, Jiawei Han |
| 2024 | EMNLP | Taxonomy-guided Semantic Indexing for Academic Paper Search. | SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu |
| 2024 | EMNLP | Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging. | Priyanka Kargupta, Ishika Agarwal, Dilek Hakkani-Tr, Jiawei Han |
| 2024 | EMNLP | Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play. | Sha Li, Revanth Gangi Reddy, Khanh Duy Nguyen, Qingyun Wang, Yi Fung, Chi Han, Jiawei Han, Kartik Natarajan, Clare R. Voss, Heng Ji |
| 2024 | EMNLP | Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. | Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen |
| 2024 | EMNLP | Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. | Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han |
| 2024 | ICLR | Representation Deficiency in Masked Language Modeling. | Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer |
| 2024 | ICLR | Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. | Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He |
| 2024 | ICLR | Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. | Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao |
| 2024 | ICML | Language Models as Semantic Indexers. | Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang |
| 2024 | ICML | Structured Chemistry Reasoning with Large Language Models. | Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Yejin Choi, Jiawei Han, Lianhui Qin |
| 2024 | ICML | MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. | Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma |
| 2024 | ICML | SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter. | Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong |
| 2024 | KDD | OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing. | Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han |
| 2024 | KDD | Ontology Enrichment for Effective Fine-grained Entity Typing. | Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han |
| 2024 | KDD | Automated Mining of Structured Knowledge from Text in the Era of Large Language Models. | Yunyi Zhang, Ming Zhong, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han |
| 2024 | NAACL | MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. | Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao |
| 2024 | NAACL | GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. | Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han |
| 2024 | NAACL | TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. | Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han |
| 2024 | WWW | Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. | SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han |
| 2024 | WSDM | Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery. | Bowen Jin, Yu Zhang, Sha Li, Jiawei Han |
| 2024 | SDM | Geospatial Topological Relation Extraction from Text with Knowledge Augmentation. | Wei Hu, Bowen Jin, Minhao Jiang, Sizhe Zhou, Zhaonan Wang, Jiawei Han, Shaowen Wang |
| 2023 | ACL | DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance. | Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han |
| 2023 | ACL | Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. | Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han |
| 2023 | ACL | Patton: Language Model Pretraining on Text-Rich Networks. | Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han |
| 2023 | ACL | Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. | Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han |
| 2023 | ACL | Compositional Data Augmentation for Abstractive Conversation Summarization. | Siru Ouyang, Jiaao Chen, Jiawei Han, Diyi Yang |
| 2023 | ACL | ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. | Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han |
| 2023 | EDBT | Mining Structures from Massive Texts by Exploring the Power of Pre-trained Language Models. | Yu Zhang, Yunyi Zhang, Jiawei Han |
| 2023 | EMNLP | Large Language Models Can Self-Improve. | Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han |
| 2023 | EMNLP | Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data. | Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin D. Burke, Huimin Zhao, Jiawei Han |
| 2023 | EMNLP | Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. | Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett |
| 2023 | EMNLP | Instruct and Extract: Instruction Tuning for On-Demand Information Extraction. | Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han |
| 2023 | EMNLP | MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities. | Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han |
| 2023 | EMNLP | GLEN: General-Purpose Event Detection for Thousands of Types. | Sha Li, Qiusi Zhan, Kathryn Conger, Martha Palmer, Heng Ji, Jiawei Han |
| 2023 | EMNLP | RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor. | Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Windisch Brown, Jiawei Han, Heng Ji |
| 2023 | EMNLP | The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. | Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han |
| 2023 | EMNLP | Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. | Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang |
| 2023 | EMNLP | PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training. | Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han |
| 2023 | ICDE | Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. | Carl Yang, Jiawei Han |
| 2023 | ICLR | Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. | Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han |
| 2023 | ICML | Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. | Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han |
| 2023 | KDD | TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter. | Xinyang Zhang, Yury Malkov, Omar Florez, Serim Park, Brian McWilliams, Jiawei Han, Ahmed El-Kishky |
| 2023 | KDD | Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. | Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han |
| 2023 | KDD | Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. | Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han |
| 2023 | KDD | Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. | Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Kk-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu |
| 2023 | WWW | Unsupervised Event Chain Mining from Multiple Documents. | Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han |
| 2023 | WWW | PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. | Susik Yoon, Hou Pong Chan, Jiawei Han |
| 2023 | WWW | SCStory: Self-supervised and Continual Online Story Discovery. | Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han |
| 2023 | WWW | The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. | Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han |
| 2023 | SIGIR | Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. | Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han |
| 2023 | WSDM | FineSum: Target-Oriented, Fine-Grained Opinion Summarization. | Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han |
| 2023 | WSDM | Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. | Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han |
| 2023 | SDM | Taxonomy-Guided Fine-Grained Entity Set Expansion. | Jinfeng Xiao, Mohab Elkaref, Nathan Herr, Geeth De Mel, Jiawei Han |
| 2022 | ACL | Phrase-aware Unsupervised Constituency Parsing. | Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han |
| 2022 | ACL | UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. | Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa |
| 2022 | ACL | Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion. | Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han |
| 2022 | CIKM | MentorGNN: Deriving Curriculum for Pre-Training GNNs. | Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He |
| 2022 | EMNLP | Open-Vocabulary Argument Role Prediction For Event Extraction. | Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han |
| 2022 | EMNLP | Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. | Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han |
| 2022 | EMNLP | Open Relation and Event Type Discovery with Type Abstraction. | Sha Li, Heng Ji, Jiawei Han |
| 2022 | EMNLP | CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision. | Yuning Mao, Ming Zhong, Jiawei Han |
| 2022 | EMNLP | PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. | Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song |
| 2022 | EMNLP | Towards a Unified Multi-Dimensional Evaluator for Text Generation. | Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han |
| 2022 | EMNLP | Unsupervised Multi-Granularity Summarization. | Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han |
| 2022 | ICDM | THINK: Temporal Hypergraph Hyperbolic Network. | Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr |
| 2022 | ICLR | Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. | Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song |
| 2022 | ICLR | Chemical-Reaction-Aware Molecule Representation Learning. | Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke |
| 2022 | KDD | Adapting Pretrained Representations for Text Mining. | Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2022 | KDD | New Frontiers of Scientific Text Mining: Tasks, Data, and Tools. | Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han |
| 2022 | KDD | Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. | Jiaxin Huang, Yu Meng, Jiawei Han |
| 2022 | KDD | Unsupervised Key Event Detection from Massive Text Corpora. | Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han |
| 2022 | NAACL | SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. | Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han |
| 2022 | NAACL | Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. | Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han |
| 2022 | WWW | Accepted Tutorials at The Web Conference 2022. | Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He |
| 2022 | WWW | Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. | Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2022 | WWW | TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. | Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han |
| 2022 | WWW | TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. | Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu |
| 2022 | WWW | KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. | Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han |
| 2022 | WWW | Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification. | Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han |
| 2022 | WWW | OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. | Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han |
| 2022 | WSDM | MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. | Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han |
| 2021 | ACL | Generation-Augmented Retrieval for Open-Domain Question Answering. | Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen |
| 2021 | ACL | Reader-Guided Passage Reranking for Open-Domain Question Answering. | Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen |
| 2021 | ACL | Training ELECTRA Augmented with Multi-word Selection. | Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han |
| 2021 | EMNLP | Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. | Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han |
| 2021 | EMNLP | Few-Shot Named Entity Recognition: An Empirical Baseline Study. | Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han |
| 2021 | EMNLP | The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction. | Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss |
| 2021 | EMNLP | Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation. | Yuning Mao, Wenchang Ma, Deren Lei, Jiawei Han, Xiang Ren |
| 2021 | EMNLP | Corpus-based Open-Domain Event Type Induction. | Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han |
| 2021 | EMNLP | ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision. | Xuan Wang, Vivian Hu, Xiangchen Song, Shweta Garg, Jinfeng Xiao, Jiawei Han |
| 2021 | ICDM | Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. | Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu |
| 2021 | ICDM | AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. | Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han |
| 2021 | ICLR | CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. | Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han |
| 2021 | IJCAI | TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). | Carl Yang, Jieyu Zhang, Jiawei Han |
| 2021 | KDD | On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. | Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2021 | KDD | UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. | Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang |
| 2021 | NAACL | On the Transformer Growth for Progressive BERT Training. | Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han |
| 2021 | NAACL | Document-Level Event Argument Extraction by Conditional Generation. | Sha Li, Heng Ji, Jiawei Han |
| 2021 | NAACL | TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. | Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han |
| 2021 | NAACL | COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. | Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi R. Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych |
| 2021 | NAACL | RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. | Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra, Qing Lyu, Ddac Surs, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji |
| 2021 | NAACL | Event Time Extraction and Propagation via Graph Attention Networks. | Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth |
| 2021 | NAACL | Open-Domain Question Answering with Pre-Constructed Question Spaces. | Jinfeng Xiao, Lidan Wang, Franck Dernoncourt, Trung Bui, Tong Sun, Jiawei Han |
| 2021 | WSC | Simulating Online Social Response: A Stimulus/Response Perspective. | Huajie Shao, Tarek F. Abdelzaher, Jiawei Han, Minhao Jiang, Yuning Mao, Yu Meng, Wenda Qiu, Dachun Sun, Ruijie Wang, Chaoqi Yang, Zhenzhou Yang, Xinyang Zhang, Yu Zhang, Sam Cohen, James Flamino, Gyrgy Korniss, Omar Malik, Aamir Mandviwalla, Boleslaw K. Szymanski, Lake Yin |
| 2021 | WWW | MATCH: Metadata-Aware Text Classification in A Large Hierarchy. | Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han |
| 2021 | WWW | Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. | Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han |
| 2021 | WSDM | BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. | Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han |
| 2021 | WSDM | Hierarchical Metadata-Aware Document Categorization under Weak Supervision. | Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han |
| 2021 | SDM | SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. | Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han |
| 2020 | AAAI | Unsupervised Attributed Multiplex Network Embedding. | Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu |
| 2020 | ACL | Facet-Aware Evaluation for Extractive Summarization. | Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han |
| 2020 | ACL | EVIDENCEMINER: Textual Evidence Discovery for Life Sciences. | Xuan Wang, Yingjun Guan, Weili Liu, Aabhas Chauhan, Enyi Jiang, Qi Li, David Liem, Dibakar Sigdel, John Caufield, Peipei Ping, Jiawei Han |
| 2020 | ACL | Empower Entity Set Expansion via Language Model Probing. | Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han |
| 2020 | EMNLP | Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. | Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han |
| 2020 | EMNLP | Understanding the Difficulty of Training Transformers. | Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han |
| 2020 | EMNLP | Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. | Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han |
| 2020 | EMNLP | Text Classification Using Label Names Only: A Language Model Self-Training Approach. | Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han |
| 2020 | EMNLP | Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. | Jiaming Shen, Heng Ji, Jiawei Han |
| 2020 | EMNLP | SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. | Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han |
| 2020 | ICDM | Mining Text Outliers in Document Directories. | Edouard Fouch, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Bhm, Jiawei Han |
| 2020 | ICDM | Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. | Carl Yang, Jieyu Zhang, Jiawei Han |
| 2020 | ICLR | On the Variance of the Adaptive Learning Rate and Beyond. | Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han |
| 2020 | IJCAI | When Do GNNs Work: Understanding and Improving Neighborhood Aggregation. | Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han |
| 2020 | KDD | AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. | Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han |
| 2020 | KDD | CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. | Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han |
| 2020 | KDD | Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. | Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han |
| 2020 | KDD | Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. | Yu Meng, Jiaxin Huang, Jiawei Han |
| 2020 | KDD | Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. | Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han |
| 2020 | KDD | Unsupervised Differentiable Multi-aspect Network Embedding. | Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han |
| 2020 | KDD | MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. | Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec |
| 2020 | KDD | A Data-Driven Graph Generative Model for Temporal Interaction Networks. | Dawei Zhou, Lecheng Zheng, Jiawei Han, Jingrui He |
| 2020 | WWW | Generating Representative Headlines for News Stories. | Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, Nicholas Zukoski |
| 2020 | WWW | Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. | Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han |
| 2020 | WWW | Discriminative Topic Mining via Category-Name Guided Text Embedding. | Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han |
| 2020 | WWW | NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network. | Jingbo Shang, Xinyang Zhang, Liyuan Liu, Sha Li, Jiawei Han |
| 2020 | WWW | TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. | Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han |
| 2020 | WWW | Collective Multi-type Entity Alignment Between Knowledge Graphs. | Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han |
| 2020 | SIGIR | Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. | Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han |
| 2020 | SIGIR | Minimally Supervised Categorization of Text with Metadata. | Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han |
| 2020 | SIGIR | Joint Aspect-Sentiment Analysis with Minimal User Guidance. | Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han |
| 2020 | WSDM | Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. | Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han |
| 2020 | WSDM | Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. | Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han |
| 2019 | AAAI | Weakly-Supervised Hierarchical Text Classification. | Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han |
| 2019 | AAAI | Mining Entity Synonyms with Efficient Neural Set Generation. | Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han |
| 2019 | ACL | Reliability-aware Dynamic Feature Composition for Name Tagging. | Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han |
| 2019 | CIKM | From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration. | Jiawei Han |
| 2019 | CIKM | Task-Guided Pair Embedding in Heterogeneous Network. | Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu |
| 2019 | CIKM | Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. | Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han |
| 2019 | CIKM | Query-Specific Knowledge Summarization with Entity Evolutionary Networks. | Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han |
| 2019 | EMNLP | Hierarchical Text Classification with Reinforced Label Assignment. | Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren |
| 2019 | EMNLP | CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. | Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han |
| 2019 | ICDM | cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. | Carl Yang, Jiawei Han |
| 2019 | ICDM | Neural Embedding Propagation on Heterogeneous Networks. | Carl Yang, Jieyu Zhang, Jiawei Han |
| 2019 | ICDM | HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. | Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han |
| 2019 | KDD | Constructing and Mining Heterogeneous Information Networks from Massive Text. | Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han |
| 2019 | NAACL | Biomedical Event Extraction based on Knowledge-driven Tree-LSTM. | Diya Li, Lifu Huang, Heng Ji, Jiawei Han |
| 2019 | WWW | Place Deduplication with Embeddings. | Carl Yang, Do Huy Hoang, Toms Mikolov, Jiawei Han |
| 2019 | WWW | STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. | Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek F. Abdelzaher |
| 2019 | WSDM | Integrating Local Context and Global Cohesiveness for Open Information Extraction. | Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han |
| 2019 | SDM | GeoAttn: Localization of Social Media Messages via Attentional Memory Network. | Sha Li, Chao Zhang, Dongming Lei, Ji Li, Jiawei Han |
| 2018 | AAAI | Empower Sequence Labeling with Task-Aware Neural Language Model. | Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han |
| 2018 | AAAI | Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach. | Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han |
| 2018 | AAAI | A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling. | Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han |
| 2018 | ACL | End-to-End Reinforcement Learning for Automatic Taxonomy Induction. | Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han |
| 2018 | CIKM | Open-Schema Event Profiling for Massive News Corpora. | Quan Yuan, Xiang Ren, Wenqi He, Chao Zhang, Xinhe Geng, Lifu Huang, Heng Ji, Chin-Yew Lin, Jiawei Han |
| 2018 | CIKM | Weakly-Supervised Neural Text Classification. | Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han |
| 2018 | CIKM | Investigating Rumor News Using Agreement-Aware Search. | Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, dm D. Lelkes, Cong Yu, Jiawei Han |
| 2018 | EMNLP | Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. | Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng, Jiawei Han |
| 2018 | EMNLP | Learning Named Entity Tagger using Domain-Specific Dictionary. | Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han |
| 2018 | ICDE | Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding. | Carl Yang, Chao Zhang, Xuewen Chen, Jieping Ye, Jiawei Han |
| 2018 | ICDM | Doc2Cube: Allocating Documents to Text Cube Without Labeled Data. | Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han |
| 2018 | ICDM | Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach. | Doris Xin, Ahmed El-Kishky, De Liao, Brandon Norick, Jiawei Han |
| 2018 | ICDM | Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. | Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han |
| 2018 | ICDM | Dynamic Truth Discovery on Numerical Data. | Shi Zhi, Fan Yang, Zheyi Zhu, Qi Li, Zhaoran Wang, Jiawei Han |
| 2018 | KDD | TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. | Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han |
| 2018 | KDD | HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. | Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han |
| 2018 | KDD | Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. | Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han |
| 2018 | KDD | I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. | Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han |
| 2018 | KDD | TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. | Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han |
| 2018 | PSB | Annotating gene sets by mining large literature collections with protein networks. | Sheng Wang, Jianzhu Ma, Michael Ku Yu, Fan Zheng, Edward W. Huang, Jiawei Han, Jian Peng, Trey Ideker |
| 2018 | WWW | Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. | Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han |
| 2018 | WWW | Open Information Extraction with Global Structure Constraints. | Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han |
| 2018 | SIGIR | Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. | Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han |
| 2018 | WSDM | On the Power of Massive Text Data. | Jiawei Han |
| 2018 | WSDM | Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. | Meng Qu, Jian Tang, Jiawei Han |
| 2018 | WSDM | Indirect Supervision for Relation Extraction using Question-Answer Pairs. | Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han |
| 2018 | SDM | AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. | Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han |
| 2017 | ACL | Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. | Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han |
| 2017 | CIKM | Unsupervised Concept Categorization and Extraction from Scientific Document Titles. | Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han |
| 2017 | CIKM | Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data. | Mengxiong Liu, Zhengchao Liu, Chao Zhang, Keyang Zhang, Quan Yuan, Tim Hanratty, Jiawei Han |
| 2017 | CIKM | An Attention-based Collaboration Framework for Multi-View Network Representation Learning. | Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han |
| 2017 | CIKM | Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks. | Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, Jiawei Han |
| 2017 | CIKM | Detecting Multiple Periods and Periodic Patterns in Event Time Sequences. | Quan Yuan, Jingbo Shang, Xin Cao, Chao Zhang, Xinhe Geng, Jiawei Han |
| 2017 | CIKM | ClaimVerif: A Real-time Claim Verification System Using the Web and Fact Databases. | Shi Zhi, Yicheng Sun, Jiayi Liu, Chao Zhang, Jiawei Han |
| 2017 | EMNLP | Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. | Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han |
| 2017 | EMNLP | Identifying Semantically Deviating Outlier Documents. | Honglei Zhuang, Chi Wang, Fangbo Tao, Lance M. Kaplan, Jiawei Han |
| 2017 | ICDE | Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation. | Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han |
| 2017 | ICDE | Bringing Semantics to Spatiotemporal Data Mining: Challenges, Methods, and Applications. | Chao Zhang, Quan Yuan, Jiawei Han |
| 2017 | KDD | MetaPAD: Meta Pattern Discovery from Massive Text Corpora. | Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han |
| 2017 | KDD | Automatic Synonym Discovery with Knowledge Bases. | Meng Qu, Xiang Ren, Jiawei Han |
| 2017 | KDD | PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. | Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han |
| 2017 | KDD | Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation. | Carl Yang, Lanxiao Bai, Chao Zhang, Quan Yuan, Jiawei Han |
| 2017 | KDD | TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams. | Chao Zhang, Liyuan Liu, Dongming Lei, Quan Yuan, Honglei Zhuang, Tim Hanratty, Jiawei Han |
| 2017 | PG | Computing Restricted Voronoi Diagram on Graphics Hardware. | Jiawei Han, Dongming Yan, Lili Wang, Qinping Zhao |
| 2017 | WWW | Constructing Structured Information Networks from Massive Text Corpora. | Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han |
| 2017 | WWW | CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. | Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han |
| 2017 | WWW | Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning. | Chao Zhang, Keyang Zhang, Quan Yuan, Haoruo Peng, Yu Zheng, Tim Hanratty, Shaowen Wang, Jiawei Han |
| 2017 | SIGIR | ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling. | Chao Zhang, Keyang Zhang, Quan Yuan, Fangbo Tao, Luming Zhang, Tim Hanratty, Jiawei Han |
| 2017 | SIGMOD | Construction of Structured Heterogeneous Networks from Massive Text Data: Extended Abstract. | Jiawei Han |
| 2017 | SIGMOD | Building Structured Databases of Factual Knowledge from Massive Text Corpora. | Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han |
| 2017 | WSDM | Comparative Document Analysis for Large Text Corpora. | Xiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han |
| 2017 | WSDM | PRED: Periodic Region Detection for Mobility Modeling of Social Media Users. | Quan Yuan, Wei Zhang, Chao Zhang, Xinhe Geng, Gao Cong, Jiawei Han |
| 2016 | AAAI | EKNOT: Event Knowledge from News and Opinions in Twitter. | Min Li, Jingjing Wang, Wenzhu Tong, Hongkun Yu, Xiuli Ma, Yucheng Chen, Haoyan Cai, Jiawei Han |
| 2016 | AAAI | Text Classification with Heterogeneous Information Network Kernels. | Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han |
| 2016 | ACL | Liberal Event Extraction and Event Schema Induction. | Lifu Huang, Taylor Cassidy, Xiaocheng Feng, Heng Ji, Clare R. Voss, Jiawei Han, Avirup Sil |
| 2016 | CIKM | FacetGist: Collective Extraction of Document Facets in Large Technical Corpora. | Tarique Siddiqui, Xiang Ren, Aditya G. Parameswaran, Jiawei Han |
| 2016 | CIKM | Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis. | Hongkun Yu, Jingbo Shang, Meichun Hsu, Mal Castellanos, Jiawei Han |
| 2016 | COLING | FastHybrid: A Hybrid Model for Efficient Answer Selection. | Lidan Wang, Ming Tan, Jiawei Han |
| 2016 | EMNLP | AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. | Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han |
| 2016 | ICDM | Large-Scale Embedding Learning in Heterogeneous Event Data. | Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Jiawei Han |
| 2016 | ICML | Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation. | Huan Gui, Jiawei Han, Quanquan Gu |
| 2016 | IJCAI | Learning Hostname Preference to Enhance Search Relevance. | Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han |
| 2016 | IJCAI | Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction. | Wei Zhang, Quan Yuan, Jiawei Han, Jianyong Wang |
| 2016 | ICWSM | Community Cores: Removing Size Bias from Community Detection. | Isaac Jones, Ran Wang, Jiawei Han, Huan Liu |
| 2016 | KDD | Mining Reliable Information from Passively and Actively Crowdsourced Data. | Jing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han |
| 2016 | KDD | CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors. | Meng Jiang, Christos Faloutsos, Jiawei Han |
| 2016 | KDD | Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. | Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han |
| 2016 | KDD | From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach. | Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao |
| 2016 | KDD | GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media. | Chao Zhang, Keyang Zhang, Quan Yuan, Luming Zhang, Tim Hanratty, Jiawei Han |
| 2016 | NAACL | Cross-media Event Extraction and Recommendation. | Di Lu, Clare R. Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-Fu Chang, Jiawei Han, William A. Wallace, James A. Hendler, Mei Si, Lance M. Kaplan |
| 2016 | RECOMB | Complexes Detection in Biological Networks via Diversified Dense Subgraphs Mining. | Xiuli Ma, Guangyu Zhou, Jingjing Wang, Jian Peng, Jiawei Han |
| 2016 | WWW | Entity Disambiguation with Linkless Knowledge Bases. | Yang Li, Shulong Tan, Huan Sun, Jiawei Han, Dan Roth, Xifeng Yan |
| 2016 | WWW | Representing Documents via Latent Keyphrase Inference. | Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han |
| 2016 | WWW | Automatic Entity Recognition and Typing in Massive Text Corpora. | Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han |
| 2016 | WWW | Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach. | Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng |
| 2016 | SIGIR | GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams. | Chao Zhang, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance M. Kaplan, Shaowen Wang, Jiawei Han |
| 2016 | SIGMOD | Automatic Entity Recognition and Typing in Massive Text Data. | Xiang Ren, Ahmed El-Kishky, Heng Ji, Jiawei Han |
| 2016 | WSDM | Modeling Check-in Preferences with Multidimensional Knowledge: A Minimax Entropy Approach. | Jingjing Wang, Min Li, Jiawei Han, Xiaolong Wang |
| 2016 | SDM | MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance. | Jingbo Shang, Jian Peng, Jiawei Han |
| 2016 | SDM | DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework. | Jingbo Shang, Wenzhu Tong, Jian Peng, Jiawei Han |
| 2016 | SDM | RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks. | Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang |
| 2015 | ACL | Successful Data Mining Methods for NLP. | Jiawei Han, Heng Ji, Yizhou Sun |
| 2015 | ACL | Context-aware Entity Morph Decoding. | Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Sujian Li, Chin-Yew Lin, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Blent Yener |
| 2015 | CIKM | Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks. | Chang Wan, Xiang Li, Ben Kao, Xiao Yu, Quanquan Gu, David Wai-Lok Cheung, Jiawei Han |
| 2015 | EDBT | Query-Based Outlier Detection in Heterogeneous Information Networks. | Jonathan Kuck, Honglei Zhuang, Xifeng Yan, Hasan Cam, Jiawei Han |
| 2015 | ICDE | STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream. | Wei Feng, Chao Zhang, Wei Zhang, Jiawei Han, Jianyong Wang, Charu C. Aggarwal, Jianbin Huang |
| 2015 | ICDM | KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks. | Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han |
| 2015 | ICDM | Mining Multi-aspect Reflection of News Events in Twitter: Discovery, Linking and Presentation. | Jingjing Wang, Wenzhu Tong, Hongkun Yu, Min Li, Xiuli Ma, Haoyan Cai, Tim Hanratty, Jiawei Han |
| 2015 | IJCAI | Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations. | Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang |
| 2015 | KDD | TOPTRAC: Topical Trajectory Pattern Mining. | Younghoon Kim, Jiawei Han, Cangzhou Yuan |
| 2015 | KDD | On the Discovery of Evolving Truth. | Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han |
| 2015 | KDD | FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. | Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han |
| 2015 | KDD | Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach. | Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han |
| 2015 | KDD | ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering. | Xiang Ren, Ahmed El-Kishky, Chi Wang, Fangbo Tao, Clare R. Voss, Jiawei Han |
| 2015 | KDD | Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach. | Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han |