| 2023 | CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case Retrieval. | Kun Zhang, Chong Chen, Yuanzhuo Wang, Qi Tian, Long Bai |
| 2023 | DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph. | Kaike Zhang, Qi Cao, Gaolin Fang, Bingbing Xu, Hongjian Zou, Huawei Shen, Xueqi Cheng |
| 2023 | Understanding the Semantics of GPS-based Trajectories for Road Closure Detection. | Jiasheng Zhang, Kaiqiang An, Guoping Liu, Xiang Wen, Runbo Hu, Jie Shao |
| 2023 | Contrastive Cross-scale Graph Knowledge Synergy. | Yifei Zhang, Yankai Chen, Zixing Song, Irwin King |
| 2023 | HiMacMic: Hierarchical Multi-Agent Deep Reinforcement Learning with Dynamic Asynchronous Macro Strategy. | Hancheng Zhang, Guozheng Li, Chi Harold Liu, Guoren Wang, Jian Tang |
| 2023 | Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework. | Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang |
| 2023 | Data-centric AI: Techniques and Future Perspectives. | Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu |
| 2023 | Revisiting Neural Retrieval on Accelerators. | Jiaqi Zhai, Zhaojie Gong, Yueming Wang, Xiao Sun, Zheng Yan, Fu Li, Xing Liu |
| 2023 | Mining Electronic Health Records for Real-World Evidence. | Chengxi Zang, Weishen Pan, Fei Wang |
| 2023 | Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. | Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong |
| 2023 | Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. | Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen |
| 2023 | Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. | Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He |
| 2023 | Group-based Fraud Detection Network on e-Commerce Platforms. | Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang |
| 2023 | The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing. | Wenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang |
| 2023 | Multi Datasource LTV User Representation (MDLUR). | Junwoo Yun, Wonryeol Kwak, Joohyun Kim |
| 2023 | Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. | Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang |
| 2023 | LibAUC: A Deep Learning Library for X-Risk Optimization. | Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang |
| 2023 | FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework. | Raneen Younis, Zahra Ahmadi, Abdul Hakmeh, Marco Fisichella |
| 2023 | Learning Multivariate Hawkes Process via Graph Recurrent Neural Network. | Kanghoon Yoon, Youngjun Im, Jingyu Choi, Taehwan Jeong, Jinkyoo Park |
| 2023 | Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining. | Jaemin Yoo, Meng-Chieh Lee, Shubhranshu Shekhar, Christos Faloutsos |
| 2023 | UA-FedRec: Untargeted Attack on Federated News Recommendation. | Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie |
| 2023 | Optimal Dynamic Subset Sampling: Theory and Applications. | Lu Yi, Hanzhi Wang, Zhewei Wei |
| 2023 | DGI: An Easy and Efficient Framework for GNN Model Evaluation. | Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang |
| 2023 | VQNE: Variational Quantum Network Embedding with Application to Network Alignment. | Xinyu Ye, Ge Yan, Junchi Yan |
| 2023 | Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics. | Yakir Yehuda, Daniel Freedman, Kira Radinsky |