Jiaxin Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
20
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Breaking the Resource Monopoly: LLM Post-Training and Serving with Modest Data and Compute. | Jiaxin Huang |
| 2026 | ACL | TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering. | Yingxu Wang, Jiaxin Huang, Mengzhu Wang, Nan Yin |
| 2026 | EACL | Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning. | Chengsong Huang, Langlin Huang, Jiaxin Huang |
| 2025 | ACL | Towards Robust Sentiment Analysis of Temporally-Sensitive Policy-Related Online Text. | Charles Alba, Benjamin C. Warner, Akshar Saxena, Jiaxin Huang, Ruopeng An |
| 2025 | CVPR | EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis. | Sheng Miao, Jiaxin Huang, Dongfeng Bai, Xu Yan, Hongyu Zhou, Yue Wang, Bingbing Liu, Andreas Geiger, Yiyi Liao |
| 2025 | ICCV | Vivid4D: Improving 4D Reconstruction from Monocular Video by Video Inpainting. | Jiaxin Huang, Sheng Miao, Bangbang Yang, Yuewen Ma, Yiyi Liao |
| 2025 | ICLR | GOFA: A Generative One-For-All Model for Joint Graph Language Modeling. | Lecheng Kong, Jiarui Feng, Hao Liu, Chengsong Huang, Jiaxin Huang, Yixin Chen, Muhan Zhang |
| 2025 | ICLR | Taming Overconfidence in LLMs: Reward Calibration in RLHF. | Jixuan Leng, Chengsong Huang, Banghua Zhu, Jiaxin Huang |
| 2025 | IROS | CoCoL: A Communication Efficient Decentralized Collaborative Learning Method for Multi-Robot Systems. | Jiaxin Huang, Yan Huang, Yixian Zhao, Wenchao Meng, Jinming Xu |
| 2024 | AAAI | Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction. | Jiaxin Huang, Qi Wu, Yazhou Ren, Fan Yang, Aodi Yang, Qianqian Yang, Xiaorong Pu |
| 2024 | ECCV | Efficient Depth-Guided Urban View Synthesis. | Sheng Miao, Jiaxin Huang, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Andreas Geiger, Yiyi Liao |
| 2024 | ICMLA | Capturing Uncertainty over Time for Spiking Neural Networks by Exploiting Conformal Prediction Sets. | Daniel Scholz, Oliver Emonds, Felix Kreutz, Pascal Gerhards, Jiaxin Huang, Klaus Knobloch, Alois Knoll, Christian Mayr |
| 2024 | ISSRE | DynTrackr: A Robust Two-Stage Framework with Attribute Enhancement for KPI Anomaly Detection. | Meixian Zhang, Xue Shi, Jiaxin Huang, Lide Su, Yanan Zhang |
| 2024 | KDD | Ontology Enrichment for Effective Fine-grained Entity Typing. | Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han |
| 2023 | EMNLP | Large Language Models Can Self-Improve. | Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han |
| 2023 | ICCV | VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis. | Xinya Chen, Jiaxin Huang, Yanrui Bin, Lu Yu, Yiyi Liao |
| 2023 | ICML | Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. | Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han |
| 2023 | KDD | Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. | Yu Meng, Jiaxin Huang, Yu Zhang, Yunyi Zhang, Jiawei Han |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-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 Kk-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 |
| 2023 | WSDM | FineSum: Target-Oriented, Fine-Grained Opinion Summarization. | Suyu Ge, Jiaxin Huang, Yu Meng, Jiawei Han |
| 2022 | DAC | A fast parameter tuning framework via transfer learning and multi-objective bayesian optimization. | Zheng Zhang, Tinghuan Chen, Jiaxin Huang, Meng Zhang |
| 2022 | ICIP | Cross Domain Low-Dose CT Image Denoising With Semantic Information Alignment. | Jiaxin Huang, Kecheng Chen, Jiayu Sun, Xiaorong Pu, Yazhou Ren |
| 2022 | KDD | Adapting Pretrained Representations for Text Mining. | Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2022 | KDD | Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. | Jiaxin Huang, Yu Meng, Jiawei Han |
| 2022 | WWW | Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. | Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2021 | EMNLP | Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. | Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han |
| 2021 | EMNLP | Few-Shot Named Entity Recognition: An Empirical Baseline Study. | Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han |
| 2021 | KDD | On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. | Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2020 | EMNLP | Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. | Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han |
| 2020 | EMNLP | Text Classification Using Label Names Only: A Language Model Self-Training Approach. | Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han |
| 2020 | KDD | CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. | Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han |
| 2020 | KDD | Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. | Yu Meng, Jiaxin Huang, Jiawei Han |
| 2020 | KDD | Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. | Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han |
| 2020 | WWW | Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. | Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han |
| 2020 | WWW | Discriminative Topic Mining via Category-Name Guided Text Embedding. | Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han |
| 2020 | SIGIR | Minimally Supervised Categorization of Text with Metadata. | Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han |
| 2017 | GLOBECOM | Characterizing the Usage of Mobile Video Service in Cellular Networks. | Huan Yan, Tzu-Heng Lin, Ming Zeng, Jing Wu, Jiaxin Huang, Yong Li, Depeng Jin |
| 2017 | MASS | On the Understanding of Interdependency of Mobile App Usage. | Jiaxin Huang, Fengli Xu, Yujun Lin, Yong Li |