| 2023 | Generative Sentiment Transfer via Adaptive Masking. | Yingze Xie, Jie Xu, LiQiang Qiao, Yun Liu, Feiran Huang, Chaozhuo Li |
| 2023 | GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge Aggregation. | Siyue Xie, Yiming Li, Da Sun Handason Tam, Xiaxin Liu, Qiufang Ying, Wing Cheong Lau, Dah Ming Chiu, Shou Zhi Chen |
| 2023 | Semi-Supervised Text Classification via Self-Paced Semantic-Level Contrast. | Yu Xia, Kai Zhang, Kaijie Zhou, Rui Wang, Xiaohui Hu |
| 2023 | Toward Explainable Recommendation via Counterfactual Reasoning. | Haiyang Xia, Qian Li, Zhichao Wang, Gang Li |
| 2023 | Using Flexible Memories to Reduce Catastrophic Forgetting. | Wernsen Wong, Yun Sing Koh, Gillian Dobbie |
| 2023 | Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning. | David Winkel, Niklas Strau, Matthias Schubert, Yunpu Ma, Thomas Seidl |
| 2023 | Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis. | Tobias Weber, Michael Ingrisch, Bernd Bischl, David Rgamer |
| 2023 | RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. | Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng |
| 2023 | Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities. | Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong |
| 2023 | Global-Aware External Attention Deep Model for Sequential Recommendation. | Tianxing Wang, Can Wang |
| 2023 | Knowledge-Enhanced Hierarchical Transformers for Emotion-Cause Pair Extraction. | Yuwei Wang, Yuling Li, Kui Yu, Yimin Hu |
| 2023 | Quasi-Periodicity Detection via Repetition Invariance of Path Signatures. | Chenyang Wang, Ling Luo, Uwe Aickelin |
| 2023 | Joint Latent Topic Discovery and Expectation Modeling for Financial Markets. | Lili Wang, Chenghan Huang, Chongyang Gao, Weicheng Ma, Soroush Vosoughi |
| 2023 | Post-it: Augmented Reality Based Group Recommendation with Item Replacement. | Wei-Pin Wang, Hsi-Wen Chen, De-Nian Yang, Ming-Syan Chen |
| 2023 | Estimating the Risk of Individual Discrimination of Classifiers. | Jonathan Vasquez, Xavier Gitiaux, Huzefa Rangwala |
| 2023 | UPGAT: Uncertainty-Aware Pseudo-neighbor Augmented Knowledge Graph Attention Network. | Yen-Ching Tseng, Zu-Mu Chen, Mi-Yen Yeh, Shou-De Lin |
| 2023 | DKFM: Dual Knowledge-Guided Fusion Model for Drug Recommendation. | Yankai Tian, Yijia Zhang, Xingwang Li, Mingyu Lu |
| 2023 | Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting. | Xingxing Tang, Hanlin Gu, Lixin Fan, Qiang Yang |
| 2023 | Topic-Selective Graph Network for Topic-Focused Summarization. | Zesheng Shi, Yucheng Zhou |
| 2023 | Words Can Be Confusing: Stereotype Bias Removal in Text Classification at the Word Level. | Shaofei Shen, Mingzhe Zhang, Weitong Chen, Alina Bialkowski, Miao Xu |
| 2023 | Accelerating Stochastic Newton Method via Chebyshev Polynomial Approximation. | Fan Sha, Jianyu Pan |
| 2023 | Dual-Detector: An Unsupervised Learning Framework for Chinese Spelling Check. | Feiran Shao, Jinlong Li |
| 2023 | Road Network Representation Learning with Vehicle Trajectories. | Stefan Schestakov, Paul Heinemeyer, Elena Demidova |
| 2023 | PICKD: In-Situ Prompt Tuning for Knowledge-Grounded Dialogue Generation. | Rajdeep Sarkar, Koustava Goswami, Mihael Arcan, John P. McCrae |
| 2023 | TSI-GAN: Unsupervised Time Series Anomaly Detection Using Convolutional Cycle-Consistent Generative Adversarial Networks. | Shyam Sundar Saravanan, Tie Luo, Mao Van Ngo |