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ORCIDJiawei Han 0001
韩家炜
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
- affiliation (former): Simon Fraser University, School of Computing Science, Canada
- unicode name: 韩家炜
- award (2009): W. Wallace McDowell Award
Other persons with the same name
- Jiawei Han (aka: Jia-Wei Han) — disambiguation page
- Jiawei Han 0002
![[0000-0003-1956-5012]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1956-5012")
— Tianjin Normal University, Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, China (and 1 more) - Jiawei Han 0003 — Northwestern Polytechnical University, Xi'an, China
- Jiawei Han 0004 — Zhejiang University, Qiushi Academy for Advanced Studies, Hangzhou, China
- Jiawei Han 0005 — Chongqing University of Post and Telecommunications, Chongqing Key Lab of Mobile Communications Technology, China
- Jiawei Han 0006 — Jilin University, College of Computer Science and Technology, Changchun, China
- Jiawei Han 0007 — National Engineering Research Center for Information Technology in Agriculture, Beijing, China
- Jiawei Han 0008 — Beijing Institute of Technology, School of Optics and Photonics, China
- Jia-Wei Han 0009 (aka: Jiawei Han 0009) — Beijing Academy of Agricultural and Forestry Sciences, Beijing, China
- Jiawei Han 0010 — Xi'an Jiaotong University, China
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2020 – today
- 2024
[j203]Martin D. Burke, Scott E. Denmark, Ying Diao, Jiawei Han, Rachel D. Switzky, Huimin Zhao:
Molecule Maker Lab Institute: Accelerating, advancing, and democratizing molecular innovation. AI Mag. 45(1): 117-123 (2024)- [c797]Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han:
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. AAAI 2024: 19606-19614 - [c796]Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han:
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) 2024: 163-184 - [c795]Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han:
Text2DB: Integration-Aware Information Extraction with Large Language Model Agents. ACL (Findings) 2024: 185-205 - [c794]Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han:
ActionIE: Action Extraction from Scientific Literature with Programming Languages. ACL (1) 2024: 12656-12671 - [c793]Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji:
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. EACL (Findings) 2024: 1-16 - [c792]Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. ICLR 2024 - [c791]Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He:
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. ICLR 2024 - [c790]Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao:
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. ICLR 2024 - [c789]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:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c788]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:
Language Models as Semantic Indexers. ICML 2024 - [c787]Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Yejin Choi, Jiawei Han, Lianhui Qin:
Structured Chemistry Reasoning with Large Language Models. ICML 2024 - [c786]Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma:
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. ICML 2024 - [c785]Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong:
SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter. ICML 2024 - [c784]Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han:
OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing. KDD 2024: 1407-1417 - [c783]Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han:
Ontology Enrichment for Effective Fine-grained Entity Typing. KDD 2024: 2318-2327 - [c782]Yunyi Zhang, Ming Zhong, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han:
Automated Mining of Structured Knowledge from Text in the Era of Large Language Models. KDD 2024: 6644-6654 - [c781]Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao:
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. NAACL-HLT 2024: 1927-1937 - [c780]Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han:
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. NAACL-HLT 2024: 2805-2819 - [c779]Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han:
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. NAACL-HLT 2024: 2820-2837 - [c778]Wei Hu, Bowen Jin, Minhao Jiang, Sizhe Zhou, Zhaonan Wang, Jiawei Han, Shaowen Wang:
Geospatial Topological Relation Extraction from Text with Knowledge Augmentation. SDM 2024: 472-480 - [c777]Bowen Jin, Yu Zhang, Sha Li, Jiawei Han:
Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery. WSDM 2024: 1122-1125 - [c776]SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. WWW 2024: 1497-1508 - [i209]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, 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, 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, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i208]Minhao Jiang, Ken Ziyu Liu, Ming Zhong, Rylan Schaeffer, Siru Ouyang, Jiawei Han, Sanmi Koyejo:
Investigating Data Contamination for Pre-training Language Models. CoRR abs/2401.06059 (2024) - [i207]Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji:
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. CoRR abs/2401.10189 (2024) - [i206]Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han:
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. CoRR abs/2401.13129 (2024) - [i205]Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han:
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. CoRR abs/2402.10744 (2024) - [i204]Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han:
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. CoRR abs/2402.11142 (2024) - [i203]Yanzhen Shen, Yu Zhang, Yunyi Zhang, Jiawei Han:
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion. CoRR abs/2402.13405 (2024) - [i202]Ming Zhong, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen:
Multi-LoRA Composition for Image Generation. CoRR abs/2402.16843 (2024) - [i201]Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Jinfeng Xiao, Jiaming Shen, Jiawei Han:
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. CoRR abs/2403.00165 (2024) - [i200]SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. CoRR abs/2403.04160 (2024) - [i199]Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han:
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. CoRR abs/2403.10351 (2024) - [i198]Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang, Yu Meng, Jiawei Han:
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. CoRR abs/2404.07103 (2024) - [i197]Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma:
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. CoRR abs/2404.12141 (2024) - [i196]Linyi Ding, Sizhe Zhou, Jinfeng Xiao, Jiawei Han:
Automated Construction of Theme-specific Knowledge Graphs. CoRR abs/2404.19146 (2024) - [i195]Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han:
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. CoRR abs/2405.16412 (2024) - [i194]Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han:
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. CoRR abs/2406.10833 (2024) - [i193]Priyanka Kargupta, Ishika Agarwal, Dilek Hakkani-Tur, Jiawei Han:
Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging. CoRR abs/2406.11709 (2024) - [i192]Zexing Xu, Linjun Zhang, Sitan Yang, S. Rasoul Etesami, Hanghang Tong, Huan Zhang, Jiawei Han:
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data. CoRR abs/2406.16221 (2024) - [i191]Sizhe Zhou, Sha Li, Yu Meng, Yizhu Jiao, Heng Ji, Jiawei Han:
Establishing Knowledge Preference in Language Models. CoRR abs/2407.13048 (2024) - [i190]Priyanka Kargupta, Yunyi Zhang, Yizhu Jiao, Siru Ouyang, Jiawei Han:
Unsupervised Episode Detection for Large-Scale News Events. CoRR abs/2408.04873 (2024) - [i189]Kerui Zhu, Bo-Wei Huang, Bowen Jin, Yizhu Jiao, Ming Zhong, Kevin Chang, Shou-De Lin, Jiawei Han:
Investigating Instruction Tuning Large Language Models on Graphs. CoRR abs/2408.05457 (2024) - [i188]Jimeng Shi, Bowen Jin, Jiawei Han, Giri Narasimhan:
CoDiCast: Conditional Diffusion Model for Weather Prediction with Uncertainty Quantification. CoRR abs/2409.05975 (2024) - 2023
- [j202]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. 65(2): 613-640 (2023) - [j201]Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan:
Entity Linking Meets Deep Learning: Techniques and Solutions. IEEE Trans. Knowl. Data Eng. 35(3): 2556-2578 (2023) - [j200]Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-Paths. IEEE Trans. Knowl. Data Eng. 35(4): 3925-3937 (2023) - [c775]Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han:
DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance. ACL (Findings) 2023: 194-217 - [c774]Siru Ouyang, Jiaao Chen, Jiawei Han, Diyi Yang:
Compositional Data Augmentation for Abstractive Conversation Summarization. ACL (1) 2023: 1471-1488 - [c773]Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han:
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. ACL (1) 2023: 5677-5697 - [c772]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han:
Patton: Language Model Pretraining on Text-Rich Networks. ACL (1) 2023: 7005-7020 - [c771]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. ACL (Findings) 2023: 11161-11180 - [c770]Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han:
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. ACL (Findings) 2023: 12120-12130 - [c769]Jiawei Han:
Large Foundational Model is a Blessing to Natural Language Understanding and Data Mining. CogMI 2023: xiii - [c768]Yu Zhang, Yunyi Zhang, Jiawei Han:
Mining Structures from Massive Texts by Exploring the Power of Pre-trained Language Models. EDBT 2023: 851-854 - [c767]Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Windisch Brown, Jiawei Han, Heng Ji:
RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor. EMNLP (Demos) 2023: 365-372 - [c766]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:
Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data. EMNLP (Demos) 2023: 389-402 - [c765]Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han:
Large Language Models Can Self-Improve. EMNLP 2023: 1051-1068 - [c764]Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett:
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. EMNLP 2023: 1796-1812 - [c763]Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han:
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. EMNLP 2023: 2375-2393 - [c762]Sha Li, Qiusi Zhan, Kathryn Conger, Martha Palmer, Heng Ji, Jiawei Han:
GLEN: General-Purpose Event Detection for Thousands of Types. EMNLP 2023: 2823-2838 - [c761]Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang:
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. EMNLP 2023: 4031-4047 - [c760]Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han:
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction. EMNLP 2023: 10030-10051 - [c759]Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han:
MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities. EMNLP (Findings) 2023: 10543-10558 - [c758]Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han:
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training. EMNLP 2023: 12655-12670 - [c757]Zhaonan Wang, Bowen Jin, Wei Hu, Minhao Jiang, Seungyeon Kang, Zhiyuan Li, Sizhe Zhou, Jiawei Han, Shaowen Wang:
Geospatial Knowledge Hypercube. SIGSPATIAL/GIS 2023: 79:1-79:4 - [c756]Carl Yang, Jiawei Han:
Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. ICDE 2023: 682-695 - [c755]Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han:
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. ICLR 2023 - [c754]Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han:
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. ICML 2023: 24457-24477 - [c753]Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han:
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. KDD 2023: 1020-1031 - [c752]Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han:
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. KDD 2023: 3458-3469 - [c751]Xinyang Zhang, Yury Malkov, Omar Florez, Serim Park, Brian McWilliams, Jiawei Han, Ahmed El-Kishky:
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter. KDD 2023: 5597-5607 - [c750]Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han:
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. KDD 2023: 5817-5818 - [c749]Sizhe Zhou, Suyu Ge, Jiaming Shen, Jiawei Han:
Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns. ECML/PKDD (4) 2023: 20-38 - [c748]Jinfeng Xiao, Mohab Elkaref, Nathan Herr, Geeth De Mel, Jiawei Han:
Taxonomy-Guided Fine-Grained Entity Set Expansion. SDM 2023: 631-639 - [c747]Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han:
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. SIGIR 2023: 802-811 - [c746]Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han:
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. WSDM 2023: 429-437 - [c745]Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han:
FineSum: Target-Oriented, Fine-Grained Opinion Summarization. WSDM 2023: 1093-1101 - [c744]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-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 Küçük-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 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:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [c743]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. WWW 2023: 1626-1637 - [c742]Susik Yoon, Hou Pong Chan, Jiawei Han:
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. WWW 2023: 1650-1661 - [c741]Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han:
SCStory: Self-supervised and Continual Online Story Discovery. WWW 2023: 1853-1864 - [c740]Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han:
Unsupervised Event Chain Mining from Multiple Documents. WWW 2023: 1948-1959 - [d3]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The MAPLE Benchmark for Scientific Literature Tagging. Zenodo, 2023
- [d2]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The MAPLE Benchmark for Graph Mining. Version 1. Zenodo, 2023 [all versions] - [d1]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The MAPLE Benchmark for Graph Mining. Version 2. Zenodo, 2023 [all versions] - [i187]Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. CoRR abs/2302.02060 (2023) - [i186]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. CoRR abs/2302.03341 (2023) - [i185]Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett:
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. CoRR abs/2302.03754 (2023) - [i184]Susik Yoon, Hou Pong Chan, Jiawei Han:
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. CoRR abs/2302.05550 (2023) - [i183]Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han:
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. CoRR abs/2302.11050 (2023) - [i182]Qiusi Zhan, Sha Li, Kathryn Conger, Martha Palmer, Heng Ji, Jiawei Han:
GLEN: General-Purpose Event Detection for Thousands of Types. CoRR abs/2303.09093 (2023) - [i181]Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han:
MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities. CoRR abs/2304.01969 (2023) - [i180]Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han:
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. CoRR abs/2304.04099 (2023) - [i179]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han:
Patton: Language Model Pretraining on Text-Rich Networks. CoRR abs/2305.12268 (2023) - [i178]Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han:
OntoType: Ontology-Guided Zero-Shot Fine-Grained Entity Typing with Weak Supervision from Pre-Trained Language Models. CoRR abs/2305.12307 (2023) - [i177]Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han:
PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training. CoRR abs/2305.13723 (2023) - [i176]Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang:
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. CoRR abs/2305.14327 (2023) - [i175]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. CoRR abs/2305.15597 (2023) - [i174]Qi Zhu, Yizhu Jiao, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Explaining and Adapting Graph Conditional Shift. CoRR abs/2306.03256 (2023) - [i173]Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han:
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. CoRR abs/2306.14003 (2023) - [i172]Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han:
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. CoRR abs/2307.01448 (2023) - [i171]Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han:
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. CoRR abs/2307.01972 (2023) - [i170]Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao:
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. CoRR abs/2310.01801 (2023) - [i169]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han:
Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder. CoRR abs/2310.06684 (2023) - [i168]Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han:
Ontology Enrichment for Effective Fine-grained Entity Typing. CoRR abs/2310.07795 (2023) - [i167]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:
Language Models As Semantic Indexers. CoRR abs/2310.07815 (2023) - [i166]