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ORCIDJiaxin Huang 0001
Person information
- affiliation: Washington University in St. Louis, MO, USA
- affiliation (former): University of Illinois Urbana-Champaign, IL, USA
- affiliation (former): Tsinghua University, Department of Electronic Engineering, Beijing, China
Other persons with the same name
- Jiaxin Huang — disambiguation page
- Jiaxin Huang 0002 — National Institutes of Health Clinical Center, Bethesda, MD, USA
- Jiaxin Huang 0003 — Wuhan University, Electronic Information School, China
- Jiaxin Huang 0004 — Minnan University of Technology and Science, School of Electronic and Electrcal Engineering, Quanzhou, China
- Jiaxin Huang 0005 — Shanghai University, School of Computer Engineering and Science, China
- Jiaxin Huang 0006
![[0000-0003-1893-7662]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1893-7662")
— University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China - Jiaxin Huang 0007 — Infineon Technologies Dresden, Germany
- Jiaxin Huang 0008 — Sichuan University, China
- Jiaxin Huang 0009 — Baidu Research, Institute for Quantum Computing, Beijing, China
- Jiaxin Huang 0010 — Southeast University, Nanjing, China
- Jiaxin Huang 0011 — Hong Kong University of Science and Technology, Hong Kong (and 1 more)
- Jiaxin Huang 0012 — Zhejiang University, China
- Jiaxin Huang 0013 — Trine University, Angola, IN, USA
- Jiaxin Huang 0014 — Jiangnan University, School of Mechanical Engineering, Wuxi, China
- Jiaxin Huang 0015 — Sun Yat-sen University, School of Electronic and Communication Engineering, Shenzhen, China
- Jiaxin Huang 0016 — Shanghai DianJi University, School of Electronic Information, China
- Jiaxin Huang 0018 — TU Berlin, Germany
Other persons with a similar name
- Evey Jiaxin Huang — Northwestern University, Evanston, IL, USA
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2020 – today
- 2025
[i23]Chengsong Huang, Langlin Huang, Jixuan Leng, Jiacheng Liu, Jiaxin Huang:
Efficient Test-Time Scaling via Self-Calibration. CoRR abs/2503.00031 (2025)- 2024
- [c24]Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han:
Ontology Enrichment for Effective Fine-grained Entity Typing. KDD 2024: 2318-2327 - [i22]Yongqi Tong, Sizhe Wang, Dawei Li, Yifan Wang, Simeng Han, Zi Lin, Chengsong Huang, Jiaxin Huang, Jingbo Shang:
Optimizing Language Model's Reasoning Abilities with Weak Supervision. CoRR abs/2405.04086 (2024) - [i21]Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang:
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. CoRR abs/2407.09709 (2024) - [i20]Jixuan Leng, Chengsong Huang, Banghua Zhu, Jiaxin Huang:
Taming Overconfidence in LLMs: Reward Calibration in RLHF. CoRR abs/2410.09724 (2024) - [i19]Chengsong Huang, Langlin Huang, Jiaxin Huang:
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning. CoRR abs/2410.10074 (2024) - 2023
- [c23]Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han:
Large Language Models Can Self-Improve. EMNLP 2023: 1051-1068 - [c22]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 - [c21]Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han:
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. KDD 2023: 5817-5818 - [c20]Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han:
FineSum: Target-Oriented, Fine-Grained Opinion Summarization. WSDM 2023: 1093-1101 - [c19]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 - [i18]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) - 2022
- [c18]Jiaxin Huang, Yu Meng, Jiawei Han:
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. KDD 2022: 605-614 - [c17]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Adapting Pretrained Representations for Text Mining. KDD 2022: 4806-4807 - [c16]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. NeurIPS 2022 - [c15]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han:
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. WWW 2022: 3143-3152 - [i17]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. CoRR abs/2202.04538 (2022) - [i16]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han:
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. CoRR abs/2202.04582 (2022) - [i15]Jiaxin Huang, Tianqi Liu, Jialu Liu, Ádám D. Lelkes, Cong Yu, Jiawei Han:
All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass. CoRR abs/2205.10744 (2022) - [i14]Jiaxin Huang, Yu Meng, Jiawei Han:
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. CoRR abs/2206.13746 (2022) - [i13]Jiaxin Huang, Shixiang Shane Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han:
Large Language Models Can Self-Improve. CoRR abs/2210.11610 (2022) - [i12]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. CoRR abs/2211.03044 (2022) - 2021
- [c14]Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han:
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. EMNLP (1) 2021: 10367-10378 - [c13]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: An Empirical Baseline Study. EMNLP (1) 2021: 10408-10423 - [c12]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. KDD 2021: 4052-4053 - [i11]Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han:
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. CoRR abs/2109.05003 (2021) - [i10]Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han:
Fine-Grained Opinion Summarization with Minimal Supervision. CoRR abs/2110.08845 (2021) - 2020
- [j5]Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han:
Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts. Frontiers Big Data 3: 9 (2020) - [c11]Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han:
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. EMNLP (1) 2020: 6989-6999 - [c10]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. EMNLP (1) 2020: 9006-9017 - [c9]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han:
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. KDD 2020: 1908-1917 - [c8]Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han:
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. KDD 2020: 1928-1936 - [c7]Yu Meng, Jiaxin Huang, Jiawei Han:
Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. KDD 2020: 3573-3574 - [c6]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. SIGIR 2020: 1231-1240 - [c5]Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han:
Discriminative Topic Mining via Category-Name Guided Text Embedding. WWW 2020: 2121-2132 - [c4]Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han:
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. WWW 2020: 2188-2198 - [i9]Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han:
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. CoRR abs/2001.10106 (2020) - [i8]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. CoRR abs/2005.00624 (2020) - [i7]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han:
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. CoRR abs/2007.09536 (2020) - [i6]Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han:
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. CoRR abs/2010.06705 (2020) - [i5]Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han:
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. CoRR abs/2010.06714 (2020) - [i4]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. CoRR abs/2010.07245 (2020) - [i3]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: A Comprehensive Study. CoRR abs/2012.14978 (2020)
2010 – 2019
- 2019
- [j4]Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han:
TextCube: Automated Construction and Multidimensional Exploration. Proc. VLDB Endow. 12(12): 1974-1977 (2019) - [c3]Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han:
Spherical Text Embedding. NeurIPS 2019: 8206-8215 - [i2]Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han:
CatE: Category-Name GuidedWord Embedding. CoRR abs/1908.07162 (2019) - [i1]Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han:
Spherical Text Embedding. CoRR abs/1911.01196 (2019) - 2018
- [j3]Fengli Xu, Guozhen Zhang, Zhilong Chen, Jiaxin Huang, Yong Li, Diyi Yang, Ben Y. Zhao, Fanchao Meng:
Understanding Motivations behind Inaccurate Check-ins. Proc. ACM Hum. Comput. Interact. 2(CSCW): 188:1-188:22 (2018) - [j2]Ming Zeng, Tzu-Heng Lin, Min Chen, Huan Yan, Jiaxin Huang, Jing Wu, Yong Li:
Temporal-Spatial Mobile Application Usage Understanding and Popularity Prediction for Edge Caching. IEEE Wirel. Commun. 25(3): 36-42 (2018) - 2017
- [c2]Huan Yan, Tzu-Heng Lin, Ming Zeng, Jing Wu, Jiaxin Huang, Yong Li, Depeng Jin:
Characterizing the Usage of Mobile Video Service in Cellular Networks. GLOBECOM 2017: 1-6 - [c1]Jiaxin Huang, Fengli Xu, Yujun Lin, Yong Li:
On the Understanding of Interdependency of Mobile App Usage. MASS 2017: 471-475 - 2016
- [j1]Fengli Xu, Yuyun Lin, Jiaxin Huang, Di Wu, Hongzhi Shi, Jeungeun Song, Yong Li:
Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach. IEEE Trans. Serv. Comput. 9(5): 796-805 (2016)
Coauthor Index
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