| 2026 | AAAI | RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models. | Xiang Lin, Weixin Li, Shu Guo, Lihong Wang, Di Huang |
| 2026 | WWW | Expectation-Maximization Driven Contrastive Disentanglement for Generalized Category Discovery. | Weiyi Yang, Richong Zhang, Junfan Chen, Jiawei Sheng, Lihong Wang |
| 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 | HPCC | Privacy-Preserving Decentralized Federated Learning for Heterogeneous Graphs. | Liya Ma, Runhua Xu, Lu Liu, Siqi Sun, Chen Li, 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 | ICLR | Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Rendering. | Yibo Zhang, Lihong Wang, Changqing Zou, Tieru Wu, Rui Ma |
| 2025 | MICCAI | Improving Late-Life Depression Analysis with Collaborative Domain Adaptation: Learning from Heterogeneous Structural MRI. | Yuzhen Gao, Mengqi Wu, Li Wang, Lihong Wang, David C. Stephens, Guy G. Potter, Mingxia Liu |
| 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 | ACL | Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification. | Weiyi Yang, Richong Zhang, Junfan Chen, Lihong Wang, Jaein Kim |
| 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 | IJCNN | Improving Complex Knowledge Base Question Answering with Relation-Aware Subgraph Retrieval and Reasoning Network. | Dan Luo, Jiawei Sheng, Hongbo Xu, Lihong Wang, Bin Wang |
| 2023 | MICCAI | Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI. | Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu |
| 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 |
| 2023 | SDM | Reinforcement Learning Guided Multi-Objective Exam Paper Generation. | Yuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang |
| 2022 | ICASSP | Explicitly Modeling Importance and Coherence for Timeline Summarization. | Qianren Mao, Jianxin Li, JiaZheng Wang, Xi Li, Peng Hao, Lihong Wang, Zheng Wang |
| 2022 | MICCAI | Understanding Clinical Progression of Late-Life Depression to Alzheimer's Disease Over 5 Years with Structural MRI. | Lintao Zhang, Minhui Yu, Lihong Wang, David C. Steffens, Rong Wu, Guy G. Potter, Mingxia Liu |
| 2022 | SIGIR | MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. | Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang |
| 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 | CIKM | Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. | Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun |
| 2021 | ICANN | Evidence Augment for Multiple-Choice Machine Reading Comprehension by Weak Supervision. | Dan Luo, Peng Zhang, Lu Ma, Xi Zhu, Meilin Zhou, Qi Liang, Bin Wang, Lihong Wang |
| 2021 | ICASSP | Enhancing Deep Paraphrase Identification via Leveraging Word Alignment Information. | Boxin Li, Tingwen Liu, Bin Wang, Lihong Wang |
| 2021 | IJCAI | TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation. | Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang |
| 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 |
| 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 |
| 2020 | IJCNN | Label Noise Robust Curriculum for Deep Paraphrase Identification. | Boxin Li, Tingwen Liu, Bin Wang, Lihong Wang |
| 2019 | IJCAI | Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. | Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang |
| 2019 | WISE | Bibliographic Name Disambiguation with Graph Convolutional Network. | Hao Yan, Hao Peng, Chen Li, Jianxin Li, Lihong Wang |
| 2018 | AAAI | Knowledge Graph Embedding With Iterative Guidance From Soft Rules. | Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo |
| 2018 | WWW | Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN. | Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang |
| 2018 | UIC | Graph CNNs for Urban Traffic Passenger Flows Prediction. | Jing Li, Hao Peng, Lin Liu, Guixi Xiong, Bowen Du, Hongyuan Ma, Lihong Wang, Md. Zakirul Alam Bhuiyan |
| 2017 | ISI | Impact of replacement policies on static-dynamic query results cache in web search engines. | Hongyuan Ma, Ou Tao, Chunlu Zhao, Pengxiao Li, Lihong Wang |
| 2016 | EMNLP | Jointly Embedding Knowledge Graphs and Logical Rules. | Shu Guo, Quan Wang, Lihong Wang, Bin Wang, Li Guo |
| 2016 | SIGIR | Retweeting Behavior Prediction Based on One-Class Collaborative Filtering in Social Networks. | Bo Jiang, Jiguang Liang, Ying Sha, Rui Li, Wei Liu, Hongyuan Ma, Lihong Wang |
| 2016 | WISE | Domain Dictionary-Based Topic Modeling for Social Text. | Bo Jiang, Jiguang Liang, Ying Sha, Rui Li, Lihong Wang |
| 2016 | WISE | Learning Event Profile for Improving First Story Detection in Twitter Stream. | Yongqin Qiu, Rui Li, Lihong Wang, Bin Wang |
| 2015 | ACL | Semantically Smooth Knowledge Graph Embedding. | Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo |
| 2015 | APWEB | A Multi-view Retweeting Behaviors Prediction in Social Networks. | Bo Jiang, Ying Sha, Lihong Wang |
| 2015 | CIKM | Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction. | Bo Jiang, Jiguang Liang, Ying Sha, Lihong Wang |
| 2014 | SIGIR | PAAP: prefetch-aware admission policies for query results cache in web search engines. | Hongyuan Ma, Wei Liu, Bingjie Wei, Liang Shi, Xiuguo Bao, Lihong Wang, Bin Wang |
| 2013 | APWEB | Design and Evaluation of Access Control Model Based on Classification of Users' Network Behaviors. | Peipeng Liu, Jinqiao Shi, Fei Xu, Lihong Wang, Li Guo |
| 2012 | MICCAI | Constrained Sparse Functional Connectivity Networks for MCI Classification. | Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen |
| 2011 | MICCAI | Identification of Individuals with MCI via Multimodality Connectivity Networks. | Chong-Yaw Wee, Pew-Thian Yap, Daoqiang Zhang, Kevin Denny, Lihong Wang, Dinggang Shen |
| 2010 | MICCAI | Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network. | Chong-Yaw Wee, Pew-Thian Yap, Jeffery N. Browndyke, Guy G. Potter, David C. Steffens, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen |
| 2008 | ISNN | A New Strategy for Pridicting Eukaryotic Promoter Based on Feature Boosting. | Shuanhu Wu, Qingshang Zeng, Yinbin Song, Lihong Wang, Yanjie Zhang |