| 2023 | You Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network. | Huaisheng Zhu, Xianfeng Tang, Tianxiang Zhao, Suhang Wang |
| 2023 | A Global View-Guided Autoregressive Residual Network for Irregular Time Series Classification. | Jianping Zhu, Haocheng Tang, Liang Zhang, Bo Jin, Yi Xu, Xiaopeng Wei |
| 2023 | Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets. | Jiahui Zhou, Nayyar Abbas Zaidi, Yishuo Zhang, Paul Montague, Junae Kim, Gang Li |
| 2023 | Interest Driven Graph Structure Learning for Session-Based Recommendation. | Huachi Zhou, Shuang Zhou, Keyu Duan, Xiao Huang, Qiaoyu Tan, Zailiang Yu |
| 2023 | Compressing the Embedding Matrix by a Dictionary Screening Approach in Text Classification. | Jing Zhou, Xinru Jing, Muyu Liu, Hansheng Wang |
| 2023 | Alignment-Aware Word Distance. | Guoliang Zhao, Jinglei Zhang, Dongdong Du, Qing Gao, Shujun Lin, Xiongfeng Xiao, Yupeng Wu |
| 2023 | Online Volume Optimization for Notifications via Long Short-Term Value Modeling. | Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo |
| 2023 | Weak Correlation-Based Discriminative Dictionary Learning for Image Classification. | Huangkai Zhang, Li Zhang |
| 2023 | Enhanced Topic Modeling with Multi-modal Representation Learning. | Duoyi Zhang, Yue Wang, Md. Abul Bashar, Richi Nayak |
| 2023 | Model-Agnostic Reachability Analysis on Deep Neural Networks. | Chi Zhang, Wenjie Ruan, Fu Wang, Peipei Xu, Geyong Min, Xiaowei Huang |
| 2023 | Small Temperature is All You Need for Differentiable Architecture Search. | Jiuling Zhang, Zhiming Ding |
| 2023 | An Improved Visual Assessment with Data-Dependent Kernel for Stream Clustering. | Baojie Zhang, Yang Cao, Ye Zhu, Sutharshan Rajasegarar, Gang Liu, Hong Xian Li, Maia Angelova, Gang Li |
| 2023 | Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering. | Xianchao Zhang, Mengyan Chen, Jie Mu, Linlin Zong |
| 2023 | Label Distribution Learning with Discriminative Instance Mapping. | Heng-Ru Zhang, Run-Ting Bai, Wen-Tao Tang |
| 2023 | TCR: Short Video Title Generation and Cover Selection with Attention Refinement. | Yakun Yu, Jiuding Yang, Weidong Guo, Hui Liu, Yu Xu, Di Niu |
| 2023 | The Causal Strength Bank: A New Benchmark for Causal Strength Classification. | Xiaosong Yuan, Renchu Guan, Wanli Zuo, Yijia Zhang |
| 2023 | Staying or Leaving: A Knowledge-Enhanced User Simulator for Reinforcement Learning Based Short Video Recommendation. | Zhaoqi Yang, Hongyan Liu |
| 2023 | Dynamic Multi-View Fusion Mechanism for Chinese Relation Extraction. | Jing Yang, Bin Ji, Shasha Li, Jun Ma, Long Peng, Jie Yu |
| 2023 | M-EBM: Towards Understanding the Manifolds of Energy-Based Models. | Xiulong Yang, Shihao Ji |
| 2023 | A Thompson Sampling Approach to Unifying Causal Inference and Bandit Learning. | Hanxuan Xu, Hong Xie |
| 2023 | Proactive Rumor Control: When Impression Counts. | Pengfei Xu, Zhiyong Peng, Liwei Wang |
| 2023 | Multi-behavior Guided Temporal Graph Attention Network for Recommendation. | Weijun Xu, Han Li, Meihong Wang |
| 2023 | Disentangled Representation with Causal Constraints for Counterfactual Fairness. | Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang |
| 2023 | Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out. | Zidi Xiu, Kai-Chen Cheng, David Q. Sun, Jiannan Lu, Hadas Kotek, Yuhan Zhang, Paul McCarthy, Christopher Klein, Stephen Pulman, Jason D. Williams |
| 2023 | Improving Knowledge Graph Entity Alignment with Graph Augmentation. | Feng Xie, Xiang Zeng, Bin Zhou, Yusong Tan |