| 2023 | An Account Selection Model for Identifying Valuable zkSync Users. | Tao Chen, Feiyang Shi, Jidong Chen |
| 2023 | Toward Solving Domain Adaptation with Limited Source Labeled Data. | Kunru Chen, Thorsteinn S. Rgnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Jonas Klang, Gustav Sternelv |
| 2023 | Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. | Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu |
| 2023 | A hybrid-Lp-Norms-Oriented Robot Kinematic Calibration Model Optimized by a Novel Newton Interpolated Differential Evolution Algorithm. | Tinghui Chen, Shuai Li |
| 2023 | Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference. | Debo Cheng, Yang Xie, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Yinghao Zhang, Zaiwen Feng |
| 2023 | Graph Self-Contrast Representation Learning. | Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao |
| 2023 | A Cash Flow Based Framework for Asset-Liability Management with Deep Reinforcement Learning. | Zhizuo Chen |
| 2023 | VAM: Value Propensity Score For User Acquisition Marketing Campaign. | Sayantan Chattopadhyay, Chandrai Kayal, Satyen Abrol |
| 2023 | Explainable Ensemble Machine Learning for Wheat Grain Identification. | Malgorzata Charytanowicz |
| 2023 | Online Ensemble of Ensemble OVA Framework for Class Evolution with Dominant Emerging Classes. | Zhi Cao, Shuyi Zhang, Chin-Teng Lin |
| 2023 | Balancing and Contrasting Biased Samples for Debiased Visual Question Answering. | Runlin Cao, Zhixin Li |
| 2023 | Exploring Approaches for Teaching Cybersecurity and AI for K-12. | Yu Cai, Drew Youngstrom, Wenbin Zhang |
| 2023 | A Label Distribution for Few-shot In-domain Out-of-Scope Detection. | Xinyi Cai, Pei-Wei Tsai, Jiao Tian, Kai Zhang, Jinjun Chen |
| 2023 | Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. | Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou |
| 2023 | Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. | Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou |
| 2023 | CAC: Enabling Customer-Centered Passenger-Seeking for Self-Driving Ride Service with Conservative Actor-Critic. | Palawat Busaranuvong, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo |
| 2023 | Recall and Selectivity Normalized in Class Labels as a Classification Performance Metric. | Robert Burduk |
| 2023 | Toward Interpretable Graph Neural Networks via Concept Matching Model. | Tien-Cuong Bui, Wen-Syan Li |
| 2023 | Fault Detection in Telecom Networks Using Bi-Level Federated Graph Neural Networks. | Rmi Bourgerie, Tahar Zanouda |
| 2023 | From Generalized Laughter to Personalized Chuckles: Unleashing the Power of Data Fusion in Subjective Humor Detection. | Julita Bielaniewicz, Przemyslaw Kazienko |
| 2023 | Exploring Large Language Models for Low-Resource IT Information Extraction. | Bhavya, Paulina Toro Isaza, Yu Deng, Michael Nidd, Amar Prakash Azad, Larisa Shwartz, ChengXiang Zhai |
| 2023 | Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection. | Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu |
| 2023 | RIXA - Explaining Artificial Intelligence in Natural Language. | Maximilian Becker, Vishwesh Vishwesh, Pascal Birnstill, Finn Schwall, Sihan Wu, Jrgen Beyerer |
| 2023 | Explainable Artificial Intelligence for Interpretable Data Minimization. | Maximilian Becker, Emrah Toprak, Jrgen Beyerer |
| 2023 | Stochastic Integrated Explanations for Vision Models. | Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein |