Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach. - Fengli Xu; Yuyun Lin 001; Jiaxin Huang 001; Di Wu 002; Hongzhi Shi; Jeungeun Song 002; Yong Li 008 (IEEE Trans. Serv. Comput., 2016)

Characterizing the Usage of Mobile Video Service in Cellular Networks. - Huan Yan; Tzu-Heng Lin; Ming Zeng 004; Jing Wu; Jiaxin Huang 001; Yong Li 008; Depeng Jin (GLOBECOM, 2017)

On the Understanding of Interdependency of Mobile App Usage. - Jiaxin Huang 001; Fengli Xu; Yujun Lin 001; Yong Li 008 (MASS, 2017)

Understanding Motivations behind Inaccurate Check-ins. - Fengli Xu; Guozhen Zhang; Zhilong Chen; Jiaxin Huang 001; Yong Li 008; Diyi Yang; Ben Y. Zhao; Fanchao Meng (Proc. ACM Hum. Comput. Interact., 2018)

Temporal-Spatial Mobile Application Usage Understanding and Popularity Prediction for Edge Caching. - Ming Zeng 004; Tzu-Heng Lin; Min Chen 003; Huan Yan; Jiaxin Huang 001; Jing Wu; Yong Li 008 (IEEE Wirel. Commun., 2018)

Spherical Text Embedding. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Chao Zhang 014; Honglei Zhuang; Lance M. Kaplan; Jiawei Han 001 (NeurIPS, 2019)

CatE: Category-Name GuidedWord Embedding. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Zihan Wang 001; Chao Zhang 014; Jiawei Han 001 (CoRR, 2019)

TextCube: Automated Construction and Multidimensional Exploration. - Yu Meng 001; Jiaxin Huang 001; Jingbo Shang; Jiawei Han 001 (Proc. VLDB Endow., 2019)

Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. - Jiaxin Huang 001; Yu Meng 001; Fang Guo; Heng Ji 001; Jiawei Han 001 (EMNLP (1), 2020)

Text Classification Using Label Names Only: A Language Model Self-Training Approach. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Chenyan Xiong; Heng Ji 001; Chao Zhang 014; Jiawei Han 001 (EMNLP (1), 2020)

CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. - Jiaxin Huang 001; Yiqing Xie; Yu Meng 001; Yunyi Zhang 001; Jiawei Han 001 (KDD, 2020)

Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. - Yu Meng 001; Jiaxin Huang 001; Jiawei Han 001 (KDD, 2020)

Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Yu Zhang 044; Chao Zhang 014; Jiawei Han 001 (KDD, 2020)

Minimally Supervised Categorization of Text with Metadata. - Yu Zhang 044; Yu Meng 001; Jiaxin Huang 001; Frank F. Xu; Xuan Wang 008; Jiawei Han 001 (SIGIR, 2020)

Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. - Jiaxin Huang 001; Yiqing Xie; Yu Meng 001; Jiaming Shen; Yunyi Zhang 001; Jiawei Han 001 (WWW, 2020)

Discriminative Topic Mining via Category-Name Guided Text Embedding. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Zihan Wang 001; Chao Zhang 014; Yu Zhang 044; Jiawei Han 001 (WWW, 2020)

Few-Shot Named Entity Recognition: A Comprehensive Study. - Jiaxin Huang 001; Chunyuan Li; Krishan Subudhi; Damien Jose; Shobana Balakrishnan; Weizhu Chen; Baolin Peng; Jianfeng Gao 001; Jiawei Han 001 (CoRR, 2020)

Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts. - Yu Meng 001; Jiaxin Huang 001; Guangyuan Wang; Zihan Wang 001; Chao Zhang 014; Jiawei Han 001 (Frontiers Big Data, 2020)

Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Xuan Wang 008; Yu Zhang 044; Heng Ji 001; Jiawei Han 001 (EMNLP (1), 2021)

Few-Shot Named Entity Recognition: An Empirical Baseline Study. - Jiaxin Huang 001; Chunyuan Li; Krishan Subudhi; Damien Jose; Shobana Balakrishnan; Weizhu Chen; Baolin Peng; Jianfeng Gao 001; Jiawei Han 001 (EMNLP (1), 2021)

On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. - Yu Meng 001; Jiaxin Huang 001; Yu Zhang 044; Jiawei Han 001 (KDD, 2021)

Fine-Grained Opinion Summarization with Minimal Supervision. - Suyu Ge; Jiaxin Huang 001; Yu Meng 001; Sharon Wang; Jiawei Han 001 (CoRR, 2021)

Adapting Pretrained Representations for Text Mining. - Yu Meng 001; Jiaxin Huang 001; Yu Zhang 044; Jiawei Han 001 (KDD, 2022)

Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. - Jiaxin Huang 001; Yu Meng 001; Jiawei Han 001 (KDD, 2022)

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. - Yu Meng 001; Jiaxin Huang 001; Yu Zhang 044; Jiawei Han 001 (NeurIPS, 2022)

Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. - Yu Meng 001; Yunyi Zhang 001; Jiaxin Huang 001; Yu Zhang 044; Jiawei Han 001 (WWW, 2022)

All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass. - Jiaxin Huang 001; Tianqi Liu 002; Jialu Liu; Ádám D. Lelkes; Cong Yu 001; Jiawei Han 001 (CoRR, 2022)

Large Language Models Can Self-Improve. - Jiaxin Huang 001; Shixiang Gu; Le Hou; Yuexin Wu; Xuezhi Wang 002; Hongkun Yu 001; Jiawei Han 001 (EMNLP, 2023)

Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. - Yu Meng 001; Martin Michalski; Jiaxin Huang 001; Yu Zhang 044; Tarek F. Abdelzaher; Jiawei Han 001 (ICML, 2023)

Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. - Yu Meng 001; Jiaxin Huang 001; Yu Zhang 044; Yunyi Zhang 001; Jiawei Han 001 (KDD, 2023)

FineSum: Target-Oriented, Fine-Grained Opinion Summarization. - Suyu Ge; Jiaxin Huang 001; Yu Meng 001; Jiawei Han 001 (WSDM, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Ontology Enrichment for Effective Fine-grained Entity Typing. - Siru Ouyang; Jiaxin Huang 001; Pranav Pillai; Yunyi Zhang 001; Yu Zhang 044; Jiawei Han 001 (KDD, 2024)

Optimizing Language Model's Reasoning Abilities with Weak Supervision. - Yongqi Tong; Sizhe Wang; Dawei Li; Yifan Wang; Simeng Han; Zi Lin; Chengsong Huang; Jiaxin Huang 001; Jingbo Shang (CoRR, 2024)

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. - Lecheng Kong; Jiarui Feng; Hao Liu 059; Chengsong Huang; Jiaxin Huang 001; Yixin Chen; Muhan Zhang (CoRR, 2024)

Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning. - Chengsong Huang; Langlin Huang; Jiaxin Huang 001 (CoRR, 2024)

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. - Lecheng Kong; Jiarui Feng; Hao Liu 057; Chengsong Huang; Jiaxin Huang 001; Yixin Chen; Muhan Zhang (ICLR, 2025)

Taming Overconfidence in LLMs: Reward Calibration in RLHF. - Jixuan Leng; Chengsong Huang; Banghua Zhu; Jiaxin Huang 001 (ICLR, 2025)

Efficient Test-Time Scaling via Self-Calibration. - Chengsong Huang; Langlin Huang; Jixuan Leng; Jiacheng Liu; Jiaxin Huang 001 (CoRR, 2025)

CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation. - Jixuan Leng; Chengsong Huang; Langlin Huang; Bill Yuchen Lin; William W. Cohen; Haohan Wang; Jiaxin Huang 001 (CoRR, 2025)

POSS: Position Specialist Generates Better Draft for Speculative Decoding. - Langlin Huang; Chengsong Huang; Jixuan Leng; Di Huang; Jiaxin Huang 001 (CoRR, 2025)