| 2024 | Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization. | Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu |
| 2024 | Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. | Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee |
| 2024 | Understanding Deployment Experience of 5G. | Ziyi Liu, Huandong Wang, Yong Li |
| 2024 | New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends. | Lihui Liu, Zihao Wang, Jiaxin Bai, Yangqiu Song, Hanghang Tong |
| 2024 | Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems. | Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou |
| 2024 | WEFix: Intelligent Automatic Generation of Explicit Waits for Efficient Web End-to-End Flaky Tests. | Xinyue Liu, Zihe Song, Weike Fang, Wei Yang, Weihang Wang |
| 2024 | GraphSAGE-based POI Recommendation via Continuous-Time Modeling. | Yuwen Liu, Lianyong Qi, Weiming Liu, Xiaolong Xu, Xuyun Zhang, Wanchun Dou |
| 2024 | UniLP: Unified Topology-aware Generative Framework for Link Prediction in Knowledge Graph. | Ben Liu, Miao Peng, Wenjie Xu, Xu Jia, Min Peng |
| 2024 | From Promises to Practice: Evaluating the Private Browsing Modes of Android Browser Apps. | Xiaoyin Liu, Wenzhi Li, Qinsheng Hou, Shishuai Yang, Lingyun Ying, Wenrui Diao, Yanan Li, Shanqing Guo, Haixin Duan |
| 2024 | LLaCE: Locally Linear Contrastive Embedding. | Ruichen Liu, Yang Liu, Jiming Liu |
| 2024 | Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners. | Xiyang Liu, Chunming Hu, Richong Zhang, Kai Sun, Samuel Mensah, Yongyi Mao |
| 2024 | UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. | Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann |
| 2024 | A Non-Intrusive Approach to Assessing Dysarthria Severity: Advancing Clinical Diagnosis. | Ganjun Liu, Xiaohui Hou, Meng Ge, Tao Zhang, Haizhou Li |
| 2024 | Discrete Semantic Tokenization for Deep CTR Prediction. | Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu |
| 2024 | Modeling User Viewing Flow using Large Language Models for Article Recommendation. | Zhenghao Liu, Zulong Chen, Moufeng Zhang, Shaoyang Duan, Hong Wen, Liangyue Li, Nan Li, Yu Gu, Ge Yu |
| 2024 | Bridging the Space Gap: Unifying Geometry Knowledge Graph Embedding with Optimal Transport. | Yuhan Liu, Zelin Cao, Xing Gao, Ji Zhang, Rui Yan |
| 2024 | AI for Materials Innovation: Self-Improving Photosensitizer Discovery System via Bayesian Search with First-Principles Simulation. | Bin Liu |
| 2024 | News-Driven Price Movement Forecasting with Label-Prior Graph Attention. | Yi-Ting Liu, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2024 | A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification. | Yonghao Liu, Lan Huang, Bowen Cao, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan |
| 2024 | Information Retrieval Meets Large Language Models. | Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie |
| 2024 | FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model. | Xiangyu Li, Xinjie Shen, Yawen Zeng, Xiaofen Xing, Jin Xu |
| 2024 | SPRING: Improving the Throughput of Sharding Blockchain via Deep Reinforcement Learning Based State Placement. | Pengze Li, Mingxuan Song, Mingzhe Xing, Zhen Xiao, Qiuyu Ding, Shengjie Guan, Jieyi Long |
| 2024 | Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform. | Nian Li, Yunzhu Pan, Chen Gao, Depeng Jin, Qingmin Liao |
| 2024 | Stable-Sketch: A Versatile Sketch for Accurate, Fast, Web-Scale Data Stream Processing. | Weihe Li, Paul Patras |
| 2024 | Tel2Veh: Fusion of Telecom Data and Vehicle Flow to Predict Camera-Free Traffic via a Spatio-Temporal Framework. | ChungYi Lin, Shen-Lung Tung, Hung-Ting Su, Winston H. Hsu |