| 2026 | AAAI | Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts. | Jiajun Liu, Yao He, Wenjun Ke, Peng Wang, Ziyu Shang, Guozheng Li, Zijie Xu |
| 2026 | AAAI | K-STaR: Knowledge-Aware Self-Taught Reasoner. | Guozheng Li, Xinyu Zhang |
| 2026 | AAAI | Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models. | Zijie Xu, Wenjun Ke, Peng Wang, Guozheng Li, Qingjian Ni, Jiajun Liu, Ziyu Shang, Jing Zhou |
| 2026 | ACL | On the Role of Discriminative Models in Generative Relation Extraction. | Guozheng Li, Peng Wang, Zijie Xu, Jing Zhou, Jiajun Liu, Ziyu Shang |
| 2026 | CHI | DALL: Data Labeling via Data Programming and Active Learning Enhanced by Large Language Models. | Guozheng Li, Ao Wang, Shaoxiang Wang, Yu Zhang, Pengcheng Cao, Yang Bai, Chi Harold Liu |
| 2026 | CHI | iPoster: Content-Aware Layout Generation for Interactive Poster Design via Graph-Enhanced Diffusion Models. | Xudong Zhou, Jinyuan Liang, Qiuyi Guo, Guozheng Li |
| 2026 | WWW | Unlearning of Knowledge Graph Embedding via Preference Optimization. | Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji |
| 2025 | ACL | On the Consistency of Commonsense in Large Language Models. | Guozheng Li, Peng Wang, Wenjun Ke, Zijie Xu, Jiajun Liu, Ziyu Shang |
| 2025 | ACL | LLM-Guided Semantic-Aware Clustering for Topic Modeling. | Jianghan Liu, Ziyu Shang, Wenjun Ke, Peng Wang, Zhizhao Luo, Jiajun Liu, Guozheng Li, Yining Li |
| 2025 | ACL | Acquisition and Application of Novel Knowledge in Large Language Models. | Ziyu Shang, Jianghan Liu, Zhizhao Luo, Peng Wang, Wenjun Ke, Jiajun Liu, Zijie Xu, Guozheng Li |
| 2025 | EMNLP | ForestCast: Open-Ended Event Forecasting with Semantic News Forest. | Zi Yu, Shaoxiang Wang, Guozheng Li, Yu Zhang, Chi Harold Liu |
| 2025 | UIST | InReAcTable: LLM-powered Interactive Visual Data Story Construction from Tabular Data. | Gerile Aodeng, Guozheng Li, Yunshan Feng, Qiyang Chen, Yu Zhang, Chi Harold Liu |
| 2025 | UIST | AskTable: LLM-Powered Interactive Visual Data Story Construction from Tables. | Gerile Aodeng, Chenwei Liang, Shaokun Zhang, Yunshan Feng, Qiyang Chen, Guozheng Li, Chi Harold Liu |
| 2024 | AAAI | Towards Continual Knowledge Graph Embedding via Incremental Distillation. | Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu |
| 2024 | AAAI | Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype. | Yanhe Liu, Peng Wang, Wenjun Ke, Guozheng Li, Xiye Chen, Jiteng Zhao, Ziyu Shang |
| 2024 | AAAI | ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context. | Chenxiao Wu, Wenjun Ke, Peng Wang, Zhizhao Luo, Guozheng Li, Wanyi Chen |
| 2024 | ACL | Boosting Textural NER with Synthetic Image and Instructive Alignment. | Jiahao Wang, Wenjun Ke, Peng Wang, Hang Zhang, Dong Nie, Jiajun Liu, Guozheng Li, Ziyu Shang |
| 2024 | COLING | Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction. | Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo |
| 2024 | IJCAI | Incorporating Schema-Aware Description into Document-Level Event Extraction. | Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu |
| 2024 | IJCAI | Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification. | Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang |
| 2024 | IJCAI | Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction. | Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu |
| 2024 | IJCAI | Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors. | Guozheng Li, Peng Wang, Jiajun Liu, Yikai Guo, Ke Ji, Ziyu Shang, Zijie Xu |
| 2024 | IJCAI | Empirical Analysis of Dialogue Relation Extraction with Large Language Models. | Guozheng Li, Zijie Xu, Ziyu Shang, Jiajun Liu, Ke Ji, Yikai Guo |
| 2024 | IJCAI | Fast and Continual Knowledge Graph Embedding via Incremental LoRA. | Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li |
| 2024 | IJCAI | Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning. | Ziyu Shang, Peng Wang, Wenjun Ke, Jiajun Liu, Hailang Huang, Guozheng Li, Chenxiao Wu, Jianghan Liu, Xiye Chen, Yining Li |
| 2023 | AAAI | Online Noisy Continual Relation Learning. | Guozheng Li, Peng Wang, Qiqing Luo, Yanhe Liu, Wenjun Ke |
| 2023 | AAAI | fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation. | Peng Wang, Tong Shao, Ke Ji, Guozheng Li, Wenjun Ke |
| 2023 | EMNLP | Revisiting Large Language Models as Zero-shot Relation Extractors. | Guozheng Li, Peng Wang, Wenjun Ke |
| 2023 | ICDE | Air-Ground Spatial Crowdsourcing with UAV Carriers by Geometric Graph Convolutional Multi-Agent Deep Reinforcement Learning. | Yu Wang, Jingfei Wu, Xingyuan Hua, Chi Harold Liu, Guozheng Li, Jianxin Zhao, Ye Yuan, Guoren Wang |
| 2023 | IJCAI | PasCore: A Chinese Overlapping Relation Extraction Model Based on Global Pointer Annotation Strategy. | Peng Wang, Jiafeng Xie, Xiye Chen, Guozheng Li, Wei Li |
| 2023 | KDD | HiMacMic: Hierarchical Multi-Agent Deep Reinforcement Learning with Dynamic Asynchronous Macro Strategy. | Hancheng Zhang, Guozheng Li, Chi Harold Liu, Guoren Wang, Jian Tang |
| 2022 | IJCAI | FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework. | Guozheng Li, Xu Chen, Peng Wang, Jiafeng Xie, Qiqing Luo |
| 2021 | ICSE | Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining. | Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin |
| 2020 | CHI | GoTree: A Grammar of Tree Visualizations. | Guozheng Li, Min Tian, Qinmei Xu, Michael J. McGuffin, Xiaoru Yuan |
| 2020 | CHI | Tree Illustrator: Interactive Construction of Tree Visualizations. | Guozheng Li, Min Tian, Qinmei Xu, Michael J. McGuffin, Xiaoru Yuan |
| 2020 | CIKM | LB-CGM: Latent Based Conditional Generative Model with Reliable Distribution Prediction. | Yichen Yao, Guozheng Li, Yujie Chen, Rongqi Li, Yinzhi Zhou, Xiaodong Zhang, Haoyuan Hu, Yinghui Xu |
| 2020 | KDD | Balanced Order Batching with Task-Oriented Graph Clustering. | Lu Duan, Haoyuan Hu, Zili Wu, Guozheng Li, Xinhang Zhang, Yu Gong, Yinghui Xu |
| 2018 | COLING | T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine. | Ziqing Liu, Enwei Peng, Shixing Yan, Guozheng Li, Tianyong Hao |
| 2018 | KDD | Learning Tree-based Deep Model for Recommender Systems. | Han Zhu, Xiang Li, Pengye Zhang, Guozheng Li, Jie He, Han Li, Kun Gai |
| 2016 | ICPR | Multi-label learning with globAl densiTy fusiOn Mapping features. | Yumeng Guo, Fulai Chung, Guozheng Li |
| 2005 | ISNN | Constructive Ensemble of RBF Neural Networks and Its Application to Earthquake Prediction. | Yue Liu, Yuan Li, Guozheng Li, Bofeng Zhang, Gengfeng Wu |