| 2026 | ExperMatch: A Unified Benchmark for Bidirectional and Cross-Domain Expertise Matching. | Wei Chen, Kaibin Chen, Yu-Xuan Qiu, Weipeng Zhang, Minhua Lu, Qianting Chen, Jiuzhang Liu, Wai Kin Chan, Rui Mao |
| 2026 | Legal-AP: A Framework to Enhance LLM's Legal Reasoning via Knowledge Augmentation and Adapter-Wise Parametric Fusion. | Ao Chang, Yubo Chen, Kang Liu, Jun Zhao |
| 2026 | DIAL-KG: Schema-Free Incremental Knowledge Graph Construction via Dynamic Schema Induction and Evolution-Intent Assessment. | Weidong Bao, Yilin Wang, Ruyu Gao, Fangling Leng, Yubin Bao, Ge Yu |
| 2026 | Diversified Top-k Optimal Routes with Collective Spatial Keywords in Road Networks. | Qiulin An, Jiajia Li, Yang Song, Lei Li, Chengcheng Chen, Linlin Ding |
| 2025 | Enhancing Chain-of-Thought Reasoning for Text-to-SQL with Effective Retrieval-Augmented Generation. | Xuguang Zhu, Yong Zhang, Chao Li, Chunxiao Xing |
| 2025 | Self-supervised Dual Graph and Intention Association for Session-Based Recommendation. | Junnan Zhuo, Bohan Li, Sujie Yu, Shuai Xu, Xinzhe Zhao, Zekun Xu, Guan Yuan |
| 2025 | FHCF: Fully-Hyperbolic Symmetric Graph Learning for Collaborative Filtering. | Guanghui Zhu, Wang Lu, Chunfeng Yuan, Yihua Huang |
| 2025 | AdaF | Yongchun Zhu, Jingwu Chen, Ling Chen, Yitan Li, Feng Zhang, Zuotao Liu |
| 2025 | ProRAG: Towards Reliable and Proficient AIGC-Based Digital Avatar. | Yongkang Zhou, Muyang Yan, Junjie Yao, Gang Xu |
| 2025 | eBASE: Real-Time Battery Swap Recommendation System for eBike Users. | Siwei Zhou, Yongchun Gu, Zhao Li, Yangzhen Li, Chengxiang Zhu, Xuanwu Liu, Jiaming Huang, Ming Li, Xuyun Zhang, Minglu Li |
| 2025 | Private Multi-party Neural Network Training over $\mathbb {Z}_{2^k}$ via Galois Rings. | Hengcheng Zhou |
| 2025 | A Diffusion-Based Triple Embedding Model for User Identity Linkage Across Social Networks. | Jingya Zhou |
| 2025 | Diffusion Based Data Augmentation for Multi-behavior Sequential Recommendation. | Tingting Zheng, Zhilong Shan, Zhengyang Wu, Xiaoyong Hu |
| 2025 | Meta Relation Assisted Explanatory Model for Heterogeneous Graph Neural Networks. | Yibowen Zhao, Yonghui Xu, Yu Zhang, Qingzhong Li, Xudong Lu, Wei He, Lizhen Cui |
| 2025 | Decoupled Self-knowledge Distillation Makes Differentially Private Deep Learning Stronger. | Dengfeng Zhao, DaXuan Xue, Suyun Zhao, Cuiping Li, Hong Chen |
| 2025 | Explaining Black-Box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective. | Yunxiao Zhao, Hao Xu, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li |
| 2025 | Transcending Conventional Binary Labels: Revamping Knowledge Tracing with VAE-Generated Image Representation. | Hui Zhao, Yanze Wang, Jun Sun |
| 2025 | Crafting Global Information in Mini-Batches for Knowledge Tracing. | Hui Zhao, Yanze Wang, Jun Sun |
| 2025 | Heterogeneous FL via Active-Passive Collaboration. | Jianzhe Zhao, Wuganjing Song, Li Zhang, Xingwei Wang, Guibing Guo, Zhelin Fan |
| 2025 | HBS-KGLLM: A General Framework for Generating Knowledge Graphs for Jailbreaking. | Xinzhe Zhao, Bohan Li, Junnan Zhuo, Wenlong Wu, Ruilong Huang, Yuanrui Liu, Haofen Wang, Hua Dai, Quoc Viet Hung Nguyen |
| 2025 | CyberLLM: Enable Mapping CVE to Tactics and Techniques of Cyber Threats via LLM. | Ziming Zhao, Zhaoxuan Li, Tingting Li, Fan Zhang |
| 2025 | MMKG-RAG: Retrieval-Augmented Generation with Multi-modal Knowledge Graph. | Shuaitao Zhao, Shijie Luo, Xinyuan Lu, Weixiong Rao |
| 2025 | Adaptive Personalized Federated Recommendation with Global Knowledge Distillation. | Jianzhe Zhao, Lingyan He, Fanzhe Lin, Jiaqi Ding, Xiaxue Zhu, Guibing Guo |
| 2025 | MVIC: Multi-view Information Collaborative Fusion for Drug-Drug Interaction Prediction. | Xianxian Zhao, Chengxin He, Lei Duan |
| 2025 | Enhancing Time Series Forecasting via Multi-level Text Alignment with LLMs. | Taibiao Zhao, Xiaobing Chen, Mingxuan Sun |