| 2023 | A Mixed-State Streaming Edge Partitioning based on Combinatorial Design. | Zhenyu Zhang, Wenwen Qu, Weixi Zhang, Junlin Shang, Xiaoling Wang |
| 2023 | Bayesian A/B Testing with Covariates. | Yuanyu Zhang, Cheng Qian, Wenhang Bao |
| 2023 | Information extraction of Chinese medical electronic records via evolutionary neural architecture search. | Tian Zhang, Nan Li, Yuee Zhou, Wei Cai, Lianbo Ma |
| 2023 | Distributional Cloning for Stabilized Imitation Learning via ADMM. | Xin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang |
| 2023 | Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization. | Guanyu Zhang, Feng Li, Yanfei Kang |
| 2023 | A Survey on Spatio-Temporal Graph Neural Networks for Traffic Forecasting. | Can Zhang, Minglong Lei |
| 2023 | The Impact of AIGC on Organizational Knowledge Creation : From the Perspective of Adaptive Structuration Theory. | Xi Zhang, Ziyue Liu, Yihang Cheng, Xuyan Wang, Zhe Wang |
| 2023 | Unfairness in Distributed Graph Frameworks. | Hao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, Sucheta Soundarajan |
| 2023 | SeqAdver: Automatic Payload Construction and Injection in Sequence-based Android Adversarial Attack. | Fei Zhang, Ruitao Feng, Xiaofei Xie, Xiaohong Li, Lianshuan Shi |
| 2023 | Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration Module. | Yan Zhang, Cheng Chen, Dian Shen, Meng Wang, Beilun Wang |
| 2023 | Alleviating Behavior Data Imbalance for Multi-Behavior Graph Collaborative Filtering. | Yijie Zhang, Yuanchen Bei, Shiqi Yang, Hao Chen, Zhiqing Li, Lijia Chen, Feiran Huang |
| 2023 | Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences. | Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, Hongyang Chen |
| 2023 | ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. | Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu |
| 2023 | FP-WDDQN: An improved deep reinforcement learning algorithm for adaptive traffic signal control. | Xiao Zhang, Xiaolong Xu |
| 2023 | Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. | Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He |
| 2023 | MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction. | Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau |
| 2023 | Dimensionality and Curvature Selection of Graph Embedding using Decomposed Normalized Maximum Likelihood Code-Length. | Ryo Yuki, Atsushi Suzuki, Kenji Yamanishi |
| 2023 | Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge Enhancement. | Wenxuan Yu, Chenzhong Bin, Wenqiang Liu, Liang Chang |
| 2023 | Outlier Elimination and Reliability Assessment for Peak and Declining Time Series Datasets. | Jungeun Yoon, Aekyeung Moon, Seung Woo Son |
| 2023 | Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing. | Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu |
| 2023 | Concentric Ring Loss for Face Forgery Detection. | Yu Yin, Yue Bai, Yizhou Wang, Yun Fu |
| 2023 | SGD with Partial Hessian for Deep Recommendation System Optimization. | Gorkem Yencak, Emre Sefer |
| 2023 | Spatio-Temporal Hypergraph Neural ODE Network for Traffic Forecasting. | Chengzhi Yao, Zhi Li, Junbo Wang |
| 2023 | Context Sketching for Memory-efficient Graph Representation Learning. | Kai-Lang Yao, Wu-Jun Li |
| 2023 | BWC: A Ballast Water Curve Algorithm for Optimizing Ship Fuel Consumption. | Yan Yao, Shanshan Feng, Hanwen Hu, Shenglin Xu, Shiyou Qian, Bin Qu, Diankun Zhai |