| 2026 | ACL | AutoFigure-Edit: Generating Editable Scientific Illustrations via Reference-Guided Styling. | Zhen Lin, Qiujie Xie, Minjun Zhu, Shichen Li, Qiyao Sun, Enhao Gu, Yiran Ding, Ke Sun, Fang Guo, Panzhong Lu, Zhiyuan Ning, Yixuan Weng, Yue Zhang |
| 2026 | ACL | AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists. | Junshu Pan, Panzhong Lu, Yixuan Weng, Qiyao Sun, Fang Guo, Zijie Yang, Qiji Zhou, Yue Zhang |
| 2025 | ACL | PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization. | Yun Luo, Yingjie Li, Xiangkun Hu, Qinglin Qi, Fang Guo, Qipeng Guo, Zheng Zhang, Yue Zhang |
| 2025 | WSDM | MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. | Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Qi Zhu, Yue Zhang |
| 2024 | NAACL | XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners. | Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang |
| 2023 | ITNAC | Meta-TFEN: A Multi-Modal Deep Learning Approach for Encrypted Malicious Traffic Detection. | RuoYang Gu, Jinlong Fei, Hao Yu, Yuefei Zhu, Kai Yang, Fang Guo |
| 2023 | ITNAC | TGP-based dynamic traffic camouflage method. | Hao Yu, Bin Lu, RuoYang Gu, Di Wang, Long Meng, Fang Guo |
| 2023 | SIGIR | SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. | Fang Guo, Yun Luo, Linyi Yang, Yue Zhang |
| 2022 | COLING | Mere Contrastive Learning for Cross-Domain Sentiment Analysis. | Yun Luo, Fang Guo, Zihan Liu, Yue Zhang |
| 2022 | KDD | Unsupervised Key Event Detection from Massive Text Corpora. | Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han |
| 2021 | SDM | SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. | Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han |
| 2021 | SDM | "Misc"-Aware Weakly Supervised Aspect Classification. | Peiran Li, Fang Guo, Jingbo Shang |
| 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 | ICDM | Mining Text Outliers in Document Directories. | Edouard Fouch, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Bhm, Jiawei Han |
| 2020 | SIGIR | Joint Aspect-Sentiment Analysis with Minimal User Guidance. | Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han |
| 2018 | CVPR | Revisiting Video Saliency: A Large-Scale Benchmark and a New Model. | Wenguan Wang, Jianbing Shen, Fang Guo, Ming-Ming Cheng, Ali Borji |
| 2018 | KDD | Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. | Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han |
| 2017 | ICONIP | Adaptive Control of an Output Constrainted Riser. | Fang Guo, Yu Liu |
| 2017 | ICONIP | Boundary Iterative Learning Control of an Euler-Bernoulli Beam System. | Yu Liu, Xiao Deng, Fang Guo, Wei He |
| 2016 | ICNC | Application of data mining technology in selecting key parameters of chemical processes. | Jinqiu Hu, Fang Guo |
| 2011 | ICNC | Diameter distribution prediction of populus shelterbelts based on artificial neural network. | Fang Guo, Guangqin Gao, Jiarong Huang, Liuxi Wang, Dandan Wang |
| 2011 | ICNC | Woodland quality evaluation with artificial neural network. | Jiarong Huang, Guangqin Gao, Fang Guo |
| 2007 | SNPD | Data Burst Statistics and Performance Analysis of Optical Burst Switching Networks with Self-Similar Traffic. | Ruyan Wang, Dapeng Wu, Fang Guo |