| 2026 | AAAI | RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models. | Xiang Lin, Weixin Li, Shu Guo, Lihong Wang, Di Huang |
| 2025 | AAAI | Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation. | Shicheng Wang, Hengzhu Tang, Li Gao, Shu Guo, Suqi Cheng, Junfeng Wang, Dawei Yin, Tingwen Liu, Lihong Wang |
| 2025 | ICIP | GIP: Gated Interaction Prompt for Parameter Efficient Vision-Language Fine-Tuning. | Xiang Lin, Weixin Li, Shu Guo, Lihong Wang, Di Huang |
| 2025 | IJCAI | Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction. | Qian Li, Cheng Ji, Shu Guo, Kun Peng, Qianren Mao, Shangguang Wang |
| 2023 | ACL | Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. | Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li, Lihong Wang |
| 2023 | ECAI | Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. | Jiawei Sheng, Xin Cong, Jiangxia Cao, Shu Guo, Chen Li, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2023 | EMNLP | Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment. | Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li |
| 2023 | WWW | Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. | Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li |
| 2023 | SIGIR | HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation. | Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2022 | DASFAA | Core Interests Focused Self-attention for Sequential Recommendation. | Zhengyang Ai, Shupeng Wang, Siyu Jia, Shu Guo |
| 2022 | SIGIR | CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection. | Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2021 | ACL | CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction. | Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2021 | CIKM | Two-tier Graph Contextual Embedding for Cross-device User Matching. | Hongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong |
| 2021 | WWW | Multi-level Connection Enhanced Representation Learning for Script Event Prediction. | Lihong Wang, Juwei Yue, Shu Guo, Jiawei Sheng, Qianren Mao, Zhenyu Chen, Shenghai Zhong, Chen Li |
| 2021 | WSDM | Bipartite Graph Embedding via Mutual Information Maximization. | Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang |
| 2020 | CIKM | Knowledge Graph Embedding Preserving Soft Logical Regularity. | Shu Guo, Lin Li, Zhen Hui, Lingshuai Meng, Bingnan Ma, Wei Liu, Lihong Wang, Haibin Zhai, Hong Zhang |
| 2020 | EMNLP | Adaptive Attentional Network for Few-Shot Knowledge Graph Completion. | Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, Tingwen Liu, Hongbo Xu |
| 2018 | AAAI | Knowledge Graph Embedding With Iterative Guidance From Soft Rules. | Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo |
| 2016 | EMNLP | Jointly Embedding Knowledge Graphs and Logical Rules. | Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo |
| 2015 | ACL | Semantically Smooth Knowledge Graph Embedding. | Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo |
| 2013 | TrustCom | Public Verification of Outsourced Computation of Polynomial Functions. | Peili Li, Haixia Xu, Shu Guo |