Jiaxin Huang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 56

Top Topics

Minimally Supervised

Top Venues

Publications

Hector A. Gonzalez, Jiaxin Huang, Florian Kelber, Khaleelulla Khan Nazeer, Tim Langer, Chen Liu, Matthias Lohrmann, Amirhossein Rostami, Mark Schöne, Bernhard Vogginger, Timo C. Wunderlich, Yexin Yan, Mahmoud Akl, Christian Mayr
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning. CoRR (2024)
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 (2024)
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)
Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han
FineSum: Target-Oriented, Fine-Grained Opinion Summarization. WSDM (2023)
Vlad Gheorghiu, Jiaxin Huang, Sarah Meng Li, Michele Mosca, Priyanka Mukhopadhyay
Reducing the CNOT Count for Clifford+T Circuits on NISQ Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (6) (2023)
Chang Che, Qunwei Lin, Xinyu Zhao, Jiaxin Huang, Liqiang Yu
Enhancing Multimodal Understanding with CLIP-Based Image-to-Text Transformation. ICBDT (2023)
Jiaxin Huang, Yu Meng, Jiawei Han
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. CoRR (2022)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. WWW (2022)
Zheng Zhang, Tinghuan Chen, Jiaxin Huang, Meng Zhang
A fast parameter tuning framework via transfer learning and multi-objective bayesian optimization. DAC (2022)
Jiaxin Huang, Yu Meng, Jiawei Han
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. KDD (2022)
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. CoRR (2022)
Jiaxin Huang, Bernhard Vogginger, Pascal Gerhards, Felix Kreutz, Florian Kelber, Daniel Scholz, Klaus Knobloch, Christian Georg Mayr
Real-time Radar Gesture Classification with Spiking Neural Network on SpiNNaker 2 Prototype. AICAS (2022)
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. NeurIPS (2022)
Jiaxin Huang, Kecheng Chen, Jiayu Sun, Xiaorong Pu, Yazhou Ren
Cross Domain Low-Dose CT Image Denoising With Semantic Information Alignment. ICIP (2022)
Jiaxin Huang, Shixiang Shane Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
Large Language Models Can Self-Improve. CoRR (2022)
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 (2022)
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
Adapting Pretrained Representations for Text Mining. KDD (2022)
Jiaxin Huang, Pascal Gerhards, Felix Kreutz, Bernhard Vogginger, Florian Kelber, Daniel Scholz, Klaus Knobloch, Christian Georg Mayr
Spiking Neural Network based Real-time Radar Gesture Recognition Live Demonstration. AICAS (2022)
Xia Liu, Geng Liu, Jiaxin Huang, Xin Wang
Mitigating barren plateaus of variational quantum eigensolvers. CoRR (2022)
Jiaxin Huang, Yuewu Dang, Liang Zhou
The influence of online Danmu on users' reward behavior: Based on the data of Douyu live broadcast. ICEB (2022)
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 (2022)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. CoRR (2022)
Yun Liu, Shenghao Ding, Jiaxin Huang, Hao Jiang, Jing Wu, Ruiliang Song, Ningning Lu, Zhiqun Song
Vertical Handover of Satellite-Ground Fusion Network Based on Time and Location Under Early Access Strategy. SmartCom (2021)
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. KDD (2021)
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)
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 (2021)
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)
Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han
Fine-Grained Opinion Summarization with Minimal Supervision. CoRR (2021)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. KDD (2020)
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 (2020)
Yu Meng, Jiaxin Huang, Jiawei Han
Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. KDD (2020)
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 (2020)
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 (2020)
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)
Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. CoRR (2020)
Kecheng Chen, Jiaxin Huang, Jiayu Sun, Yazhou Ren, Xiaorong Pu
Task-Driven Deep Learning for LDCT Image Denoising. ISICDM (2020)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. CoRR (2020)
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
Minimally Supervised Categorization of Text with Metadata. CoRR (2020)
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 (2020)
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)
Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. KDD (2020)
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
Minimally Supervised Categorization of Text with Metadata. SIGIR (2020)
Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. CoRR (2020)
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)
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)
Dongdong Chen, Xiumin Zhou, Jiaxin Huang, Ye Zhao
A DC-Link Voltage Ripple Modeling and Suppression Circuit Design for Load Compensator. ISIE (2019)
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
Spherical Text Embedding. CoRR (2019)
Zhaojun Wang, Jiaxin Huang, Sisi Gong, Jing Wu, Hao Jiang
Handoff Mechanism Considering Growth Benefit for LEO Satellite and Terrestrial Hybrid Network. BigDataSecurity/HPSC/IDS (2019)
Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han
CatE: Category-Name GuidedWord Embedding. CoRR (2019)
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
Spherical Text Embedding. NeurIPS (2019)
Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han
TextCube: Automated Construction and Multidimensional Exploration. Proc. VLDB Endow. 12 (12) (2019)
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) (2018)
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) (2018)
Jiaxin Huang, Fengli Xu, Yujun Lin, Yong Li
On the Understanding of Interdependency of Mobile App Usage. MASS (2017)
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)
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) (2016)
Jiaxin Huang, David A. Bluemke, Xiao Zhang, Ronald M. Summers, Les R. Folio, Jianhua Yao
A cross-platform and distributive database system for cumulative tumor measurement. EMBC (2012)