| 2023 | Adaptive Label Smoothing To Regularize Large-Scale Graph Training. | Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu |
| 2023 | Fairness-aware Multi-view Clustering. | Lecheng Zheng, Yada Zhu, Jingrui He |
| 2023 | Learning to Learn Task Transformations for Improved Few-Shot Classification. | Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang |
| 2023 | A Multi-scale Interaction Motion Network for Action Recognition Based on Capsule Network. | Xiangping Zheng, Xun Liang, Bo Wu, Jun Wang, Yuhui Guo, Xuan Zhang, Yuefeng Ma |
| 2023 | Feature Enhanced Zero-Shot Stance Detection via Contrastive Learning. | Xuechen Zhao, Jiaying Zou, Zhong Zhang, Feng Xie, Bin Zhou, Lei Tian |
| 2023 | Representation Learning on Dynamic Network of Networks. | Si Zhang, Yinglong Xia, Yan Zhu, Hanghang Tong |
| 2023 | Making a Computational Attorney. | Dell Zhang, Frank Schilder, Jack G. Conrad, Masoud Makrehchi, David von Rickenbach, Isabelle Moulinier |
| 2023 | Domain Disentangled Meta-Learning. | Xin Zhang, Yanhua Li, Ziming Zhang, Zhi-Li Zhang |
| 2023 | Understanding Influence Maximization via Higher-Order Decomposition. | Zonghan Zhang, Zhiqian Chen |
| 2023 | CISum: Learning Cross-modality Interaction to Enhance Multimodal Semantic Coverage for Multimodal Summarization. | Litian Zhang, Xiaoming Zhang, Ziming Guo, Zhipeng Liu |
| 2023 | Data-centric AI: Perspectives and Challenges. | Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu |
| 2023 | Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples. | Jianxiang Yu, Xiang Li |
| 2023 | NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. | Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou |
| 2023 | Estimating Latent Population Flows from Aggregated Data via Inversing Multi-Marginal Optimal Transport. | Sikun Yang, Hongyuan Zha |
| 2023 | Causal Discovery by Graph Attention Reinforcement Learning. | Dezhi Yang, Guoxian Yu, Jun Wang, Zhongmin Yan, Maozu Guo |
| 2023 | A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering. | Huafeng Yang, Qijie Shen, Xingjian Chen, Fangyi Zhang, Rong Du |
| 2023 | Data Mining Challenges and Opportunities to Achieve Net Zero Carbon Emissions: Focus on Electrified Vehicles. | Mingzhou Yang, Bharat Jayaprakash, Matthew Eagon, Hyeonjung (Tari) Jung, William F. Northrop, Shashi Shekhar |
| 2023 | Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. | Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar |
| 2023 | Group AdaBoost with Fairness Constraint. | Zhiyu Xue |
| 2023 | Multimodal Graph Learning for Cross-Modal Retrieval. | Jingyou Xie, Zishuo Zhao, Zhenzhou Lin, Ying Shen |
| 2023 | Taxonomy-Guided Fine-Grained Entity Set Expansion. | Jinfeng Xiao, Mohab Elkaref, Nathan Herr, Geeth De Mel, Jiawei Han |
| 2023 | Why Are We Waiting? Discovering Interpretable Models for Predicting Sojourn and Waiting Times. | Boris Wiegand, Dietrich Klakow, Jilles Vreeken |
| 2023 | Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. | Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma |
| 2023 | Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. | Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang |
| 2023 | Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference. | Ningjing Wang, Deqing Wang, Ting Jiang, Chenguang Du, Chuyu Fang, Fuzhen Zhuang |