| 2021 | Joint Scence Network and Attention-Guided for Image Captioning. | Dongming Zhou, Jing Yang, Canlong Zhang, Yanping Tang |
| 2021 | Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation. | Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, Dianming Hu |
| 2021 | AdaBoosting Clusters on Graph Neural Networks. | Li Zheng, Jun Gao, Zhao Li, Ji Zhang |
| 2021 | Few-Shot Partial Multi-Label Learning. | Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, Lizhen Cui |
| 2021 | AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. | Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang |
| 2021 | GANBLR: A Tabular Data Generation Model. | Yishuo Zhang, Nayyar Abbas Zaidi, Jiahui Zhou, Gang Li |
| 2021 | LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values. | Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou |
| 2021 | A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning. | Xu Zhang, Liang Zhang, Bo Jin, Xinjiang Lu |
| 2021 | Temporal Clustering with External Memory Network for Disease Progression Modeling. | Zicong Zhang, Changchang Yin, Ping Zhang |
| 2021 | Generating Structural Node Representations via Higher-order Features and Adversarial Learning. | Wang Zhang, Yang Yu, Ting Pan, Lin Pan, Pengfei Jiao, Wenjun Wang |
| 2021 | Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System. | Ziming Zhang, Guojun Wu, Yanhua Li, Yun Yue, Xun Zhou |
| 2021 | Graph Neighborhood Routing and Random Walk for Session-based Recommendation. | Zizhuo Zhang, Bang Wang |
| 2021 | Jointly Multi-Similarity Loss for Deep Metric Learning. | Li Zhang, Shitian Shen, Lingxiao Li, Han Wang, Xueying Li, Jun Lang |
| 2021 | MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series. | Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, Danding Wang |
| 2021 | Triplet Deep Subspace Clustering via Self-Supervised Data Augmentation. | Zhao Zhang, Xianzhen Li, Haijun Zhang, Yi Yang, Shuicheng Yan, Meng Wang |
| 2021 | DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction. | Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, Jun Luo |
| 2021 | C | Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, Jun Luo |
| 2021 | Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding. | Zhao Zhang, Weiming Jiang, Yang Wang, Qiaolin Ye, Mingbo Zhao, Mingliang Xu, Meng Wang |
| 2021 | Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization. | Jiuling Zhang, Zhiming Ding |
| 2021 | Adaptive Spatio-Temporal Convolutional Network for Traffic Prediction. | Mingyang Zhang, Yong Li, Funing Sun, Diansheng Guo, Pan Hui |
| 2021 | Unified Fairness from Data to Learning Algorithm. | Yanfu Zhang, Lei Luo, Heng Huang |
| 2021 | FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. | Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng |
| 2021 | SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records. | Chengxi Zang, Fei Wang |
| 2021 | Online Testing of Subgroup Treatment Effects Based on Value Difference. | Miao Yu, Wenbin Lu, Rui Song |
| 2021 | AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. | Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han |