| 2025 | Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks. | Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Hanghang Tong |
| 2025 | Token-Fusion: A Sparse Expert Routing Method for Multi-task Data Matching. | Fangnuo Liu, Derong Shen |
| 2025 | Enabling Group Fairness in Machine Unlearning via Distribution Correction. | Yezi Liu, Yanning Shen |
| 2025 | LLMCBR: Large Language Model-based Multi-View and Multi-Grained Learning for Bundle Recommendation. | Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu |
| 2025 | CSMD: Curated Multimodal Dataset for Chinese Stock Analysis. | Yu Liu, Zhuoying Li, Ruifeng Yang, Fengran Mo, Cen Chen |
| 2025 | Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback. | Kejin Liu, Junhong Lian, Xiang Ao, Ningtao Wang, Xing Fu, Yu Cheng, Weiqiang Wang, Xinyu Liu |
| 2025 | AutoDW-TS: Automated Data Wrangling for Time-Series Data. | Lei Liu, So Hasegawa, Shailaja Keyur Sampat, Mehdi Bahrami, Wei-Peng Chen, Kodai Toyota, Takashi Kato, Takumi Akazaki, Akira Ura, Tatsuya Asai |
| 2025 | AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting. | Kun Liu, Zhongjie Duan, Cen Chen, Yanhao Wang, Dawei Cheng, Yuqi Liang |
| 2025 | ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. | Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng |
| 2025 | Masked Graph Distance Network for Accurate Subgraph Similarity Computation. | Xijuan Liu, Yin Chen, Fan Li, Xiaoyang Wang, Haiyang Hu, Ying Zhang |
| 2025 | Monte Carlo Tree Search for Graph Reasoning in Large Language Model Agents. | Lihui Liu |
| 2025 | Seeing Sequences like Humans: Pattern Classification Driven Time-Series Forecasting via Vision Language Models. | Xingyu Liu, Min Gao, Zongwei Wang, Yinbing Bai |
| 2025 | Tilia: Enhancing LIME with Decision Tree Surrogates. | Jihang Li, Jiacheng Qiu, Yin-Ping Zhao, Zeyi Wen |
| 2025 | Stratified Expert Cloning for Retention-Aware Recommendation at Scale. | Chengzhi Lin, Annan Xie, Shuchang Liu, Wuhong Wang, Chuyuan Wang, Yongqi Liu, Han Li |
| 2025 | ConGM: Contrastive Graph Matching for Graph Self-Supervised Learning. | Hongxiang Lin, Lei Wang, Huiying Hu, Xiaoqing Lyu |
| 2025 | Position-Agnostic Probabilistic Generation for Robust Steganographic Text. | Shuo Lin, Zhenyang Shen, Xiang Li, Jiacheng Fan, Sixing Wu |
| 2025 | SC-DAG: Semantic-Constrained Diffusion Attacks for Stealthy Exposure Manipulation in Visually-Aware Recommender Systems. | Ze Lin, Yuqiu Qian, Xiaodong Li, Ziyu Lyu, Hui Li |
| 2025 | Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation. | Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Dapeng Liu, Lei Xiao |
| 2025 | GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction. | Zhijie Lin, Zhuofeng Li, Chenglei Dai, Wentian Bao, Shuai Lin, Enyun Yu, Haoxiang Zhang, Liang Zhao |
| 2025 | EAPformer: Entropy-Aware Patch Transformer for Multivariate Long-Term Time Series Forecasting. | Jiahao Ling, Xuan Yang, Shimin Gong, Bo Gu |
| 2025 | Federated Continual Recommendation. | Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu |
| 2025 | TKHist: Cardinality Estimation for Join Queries via Histograms with Dominant Attribute Correlation Finding. | Renrui Li, Qingzhi Ma, Jiajie Xu, Lei Zhao, An Liu |
| 2025 | Ensemble Pruning via Graph Neural Networks. | Yuanke Li, Yiyang Liu, Dongmian Zou, Hongfei Wang |
| 2025 | Contextual Representation Anchor Network for Mitigating Selection Bias in Few-Shot Drug Discovery. | Ruifeng Li, Wei Liu, Xiangxin Zhou, Mingqian Li, Qiang Zhang, Hongyang Chen, Xuemin Lin |
| 2025 | OFedED: One-shot Federated Learning with Model Ensemble and Dataset Distillation. | Xuhui Li, Zhengquan Luo, Zihui Cui, Xin Cao, Zhiqiang Xu |