Jiaxin Huang

65 papers A* 19A 2B 2Journal 35Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
Breaking the Resource Monopoly: LLM Post-Training and Serving with Modest Data and Compute.
AAAI
Jiaxin Huang
2026 — conf
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning.
EACL (Volume 1: Long Papers)
Chengsong Huang, Langlin Huang, Jiaxin Huang
2026 J jnl
Parallel-Probe: Towards Efficient Parallel Thinking via 2D Probing.
CoRR
Tong Zheng, Chengsong Huang, Runpeng Dai, Yun He, Rui Liu, Xin Ni, Huiwen Bao, Kaishen Wang, Hongtu Zhu, Jiaxin Huang, Furong Huang, Heng Huang
2026 J jnl
RelayLLM: Efficient Reasoning via Collaborative Decoding.
CoRR
Chengsong Huang, Tong Zheng, Langlin Huang, Jinyuan Li, Haolin Liu, Jiaxin Huang
2026 J jnl
Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented Generation.
CoRR
Jiashuo Sun, Pengcheng Jiang, Saizhuo Wang, Jiajun Fan, Heng Wang, Siru Ouyang, Ming Zhong, Yizhu Jiao, Chengsong Huang, Xueqiang Xu, Pengrui Han, Peiran Li, Jiaxin Huang, Ge Liu, Heng Ji, Jiawei Han
2026 J jnl
Training Data Efficiency in Multimodal Process Reward Models.
CoRR
Jinyuan Li, Chengsong Huang, Langlin Huang, Shaoyang Xu, Haolin Liu, Wenxuan Zhang, Jiaxin Huang
2025 A conf
CoCoL: A Communication Efficient Decentralized Collaborative Learning Method for Multi-Robot Systems.
IROS
Jiaxin Huang, Yan Huang, Yixian Zhao, Wenchao Meng, Jinming Xu
2025 J jnl
CoCoL: A Communication Efficient Decentralized Collaborative Method for Multi-Robot Systems.
CoRR
Jiaxin Huang, Yan Huang, Yixian Zhao, Wenchao Meng, Jinming Xu
2025 J jnl
CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation.
CoRR
Jixuan Leng, Chengsong Huang, Langlin Huang, Bill Yuchen Lin, William W. Cohen, Haohan Wang, Jiaxin Huang
2025 J jnl
Efficient Test-Time Scaling via Self-Calibration.
CoRR
Chengsong Huang, Langlin Huang, Jixuan Leng, Jiacheng Liu, Jiaxin Huang
2025 A* conf
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling.
ICLR
Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang
2025 J jnl
POSS: Position Specialist Generates Better Draft for Speculative Decoding.
CoRR
Langlin Huang, Chengsong Huang, Jixuan Leng, Di Huang, Jiaxin Huang
2025 A* conf
Taming Overconfidence in LLMs: Reward Calibration in RLHF.
ICLR
Jixuan Leng, Chengsong Huang, Banghua Zhu, Jiaxin Huang
2025 — conf
Towards Robust Sentiment Analysis of Temporally-Sensitive Policy-Related Online Text.
ACL (4)
Charles Alba, Benjamin C. Warner, Akshar Saxena, Jiaxin Huang, Ruopeng An
2024 J jnl
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning.
CoRR
Chengsong Huang, Langlin Huang, Jiaxin Huang
2024 J jnl
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling.
CoRR
Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang
2024 A* conf
Ontology Enrichment for Effective Fine-grained Entity Typing.
KDD
Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han
2024 J jnl
Optimizing Language Model's Reasoning Abilities with Weak Supervision.
CoRR
Yongqi Tong, Sizhe Wang, Dawei Li, Yifan Wang, Simeng Han, Zi Lin, Chengsong Huang, Jiaxin Huang, Jingbo Shang
2024 J jnl
Taming Overconfidence in LLMs: Reward Calibration in RLHF.
CoRR
Jixuan Leng, Chengsong Huang, Banghua Zhu, Jiaxin Huang
2023 A conf
FineSum: Target-Oriented, Fine-Grained Opinion Summarization.
WSDM
Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han
2023 A* conf
Large Language Models Can Self-Improve.
EMNLP
Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
2023 J jnl
Ontology Enrichment for Effective Fine-grained Entity Typing.
CoRR
Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han
2023 A* conf
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective.
KDD
Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han
2023 A* conf
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning.
ICML
Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
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 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
2022 A* conf
Adapting Pretrained Representations for Text Mining.
KDD
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass.
CoRR
Jiaxin Huang, Tianqi Liu, Jialu Liu, Ádám D. Lelkes, Cong Yu, Jiawei Han
2022 A* conf
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation.
KDD
Jiaxin Huang, Yu Meng, Jiawei Han
2022 J jnl
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation.
CoRR
Jiaxin Huang, Yu Meng, Jiawei Han
2022 A* conf
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
NeurIPS
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
CoRR
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Large Language Models Can Self-Improve.
CoRR
Jiaxin Huang, Shixiang Shane Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
2022 A* conf
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations.
WWW
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations.
CoRR
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han
2022 J jnl
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning.
CoRR
Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han
2021 — conf
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training.
EMNLP (1)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han
2021 J jnl
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training.
CoRR
Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han
2021 — conf
Few-Shot Named Entity Recognition: An Empirical Baseline Study.
EMNLP (1)
Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han
2021 J jnl
Fine-Grained Opinion Summarization with Minimal Supervision.
CoRR
Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han
2021 A* conf
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining.
KDD
Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han
2020 A* conf
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring.
KDD
Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han
2020 J jnl
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring.
CoRR
Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han
2020 A* conf
Discriminative Topic Mining via Category-Name Guided Text Embedding.
WWW
Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han
2020 A* conf
Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis.
KDD
Yu Meng, Jiaxin Huang, Jiawei Han
2020 J jnl
Few-Shot Named Entity Recognition: A Comprehensive Study.
CoRR
Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han
2020 A* conf
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion.
WWW
Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han
2020 J jnl
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion.
CoRR
Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han
2020 A* conf
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding.
KDD
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
2020 J jnl
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding.
CoRR
Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han
2020 A* conf
Minimally Supervised Categorization of Text with Metadata.
SIGIR
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
2020 J jnl
Minimally Supervised Categorization of Text with Metadata.
CoRR
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
2020 — conf
Text Classification Using Label Names Only: A Language Model Self-Training Approach.
EMNLP (1)
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han
2020 J jnl
Text Classification Using Label Names Only: A Language Model Self-Training Approach.
CoRR
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han
2020 J jnl
Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts.
Frontiers Big Data
Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han
2020 — conf
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding.
EMNLP (1)
Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han
2020 J jnl
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding.
CoRR
Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han
2019 J jnl
CatE: Category-Name GuidedWord Embedding.
CoRR
Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han
2019 A* conf
Spherical Text Embedding.
NeurIPS
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
2019 J jnl
Spherical Text Embedding.
CoRR
Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han
2019 J jnl
TextCube: Automated Construction and Multidimensional Exploration.
Proc. VLDB Endow.
Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han
2018 J jnl
Temporal-Spatial Mobile Application Usage Understanding and Popularity Prediction for Edge Caching.
IEEE Wirel. Commun.
Ming Zeng, Tzu-Heng Lin, Min Chen, Huan Yan, Jiaxin Huang, Jing Wu, Yong Li
2018 J jnl
Understanding Motivations behind Inaccurate Check-ins.
Proc. ACM Hum. Comput. Interact.
Fengli Xu, Guozhen Zhang, Zhilong Chen, Jiaxin Huang, Yong Li, Diyi Yang, Ben Y. Zhao, Fanchao Meng
2017 B conf
Characterizing the Usage of Mobile Video Service in Cellular Networks.
GLOBECOM
Huan Yan, Tzu-Heng Lin, Ming Zeng, Jing Wu, Jiaxin Huang, Yong Li, Depeng Jin
2017 B conf
On the Understanding of Interdependency of Mobile App Usage.
MASS
Jiaxin Huang, Fengli Xu, Yujun Lin, Yong Li
2016 J jnl
Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach.
IEEE Trans. Serv. Comput.
Fengli Xu, Yuyun Lin, Jiaxin Huang, Di Wu, Hongzhi Shi, Jeungeun Song, Yong Li