| 2024 | Graph Intelligence with Large Language Models and Prompt Learning. | Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu |
| 2024 | InLN: Knowledge-aware Incremental Leveling Network for Dynamic Advertising. | Xujia Li, Jingshu Peng, Lei Chen |
| 2024 | When Box Meets Graph Neural Network in Tag-aware Recommendation. | Fake Lin, Ziwei Zhao, Xi Zhu, Da Zhang, Shitian Shen, Xueying Li, Tong Xu, Suojuan Zhang, Enhong Chen |
| 2024 | Robust Auto-Bidding Strategies for Online Advertising. | Qilong Lin, Zhenzhe Zheng, Fan Wu |
| 2024 | Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. | Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua |
| 2024 | Deep Bag-of-Words Model: An Efficient and Interpretable Relevance Architecture for Chinese E-Commerce. | Zhe Lin, Jiwei Tan, Dan Ou, Xi Chen, Shaowei Yao, Bo Zheng |
| 2024 | Understanding the Ranking Loss for Recommendation with Sparse User Feedback. | Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang |
| 2024 | MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction. | Li Lin, Zhiqiang Lu, Shuai Wang, Yunhuai Liu, Zhiqing Hong, Haotian Wang, Shuai Wang |
| 2024 | CONFIDE: Contextual Finite Difference Modelling of PDEs. | Ori Linial, Orly Avner, Dotan Di Castro |
| 2024 | KDD workshop on Evaluation and Trustworthiness of Generative AI Models. | Yuan Ling, Shujing Dong, Yarong Feng, Zongyi Joe Liu, George Karypis, Chandan K. Reddy |
| 2024 | An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions. | Fudong Lin, Kaleb Guillot, Summer Crawford, Yihe Zhang, Xu Yuan, Nian-Feng Tzeng |
| 2024 | On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. | Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen |
| 2024 | Hyper-Local Deformable Transformers for Text Spotting on Historical Maps. | Yijun Lin, Yao-Yi Chiang |
| 2024 | Empower an End-to-end Scalable and Interpretable Data Science Ecosystem using Statistics, AI and Domain Science. | Xihong Lin |
| 2024 | PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering. | Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li |
| 2024 | Improving Robustness of Hyperbolic Neural Networks by Lipschitz Analysis. | Yuekang Li, Yidan Mao, Yifei Yang, Dongmian Zou |
| 2024 | ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving. | Rongqing Li, Changsheng Li, Yuhang Li, Hanjie Li, Yi Chen, Ye Yuan, Guoren Wang |
| 2024 | Text Matching Indexers in Taobao Search. | Sen Li, Fuyu Lv, Ruqing Zhang, Dan Ou, Zhixuan Zhang, Maarten de Rijke |
| 2024 | Bi-Objective Contract Allocation for Guaranteed Delivery Advertising. | Yan Li, Yundu Huang, Wuyang Mao, Furong Ye, Xiang He, Zhonglin Zu, Shaowei Cai |
| 2024 | Self-Distilled Disentangled Learning for Counterfactual Prediction. | Xinshu Li, Mingming Gong, Lina Yao |
| 2024 | Label Learning Method Based on Tensor Projection. | Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie |
| 2024 | Chromosomal Structural Abnormality Diagnosis by Homologous Similarity. | Juren Li, Fanzhe Fu, Ran Wei, Yifei Sun, Zeyu Lai, Ning Song, Xin Chen, Yang Yang |
| 2024 | SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph. | Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou |
| 2024 | Rethinking Fair Graph Neural Networks from Re-balancing. | Zhixun Li, Yushun Dong, Qiang Liu, Jeffrey Xu Yu |
| 2024 | Image Similarity Using an Ensemble of Context-Sensitive Models. | Zukang Liao, Min Chen |