| 2022 | Simulate Human Thinking: Cognitive Knowledge Graph Reasoning for Complex Question Answering. | Hong Zhao, Yao Fu, Weihao Jiang, Shiliang Pu, Xiaoyu Cai |
| 2022 | A Novel Semi-supervised Neural Network for Recognizing Parkinson's Disease. | Zhehao Zhang, Xiaobo Zhang, Dengmin Wen, Lilan Peng, Yuxin Zhou |
| 2022 | Towards Better Generalization for Neural Network-Based SAT Solvers. | Chenhao Zhang, Yanjun Zhang, Jeff Mao, Weitong Chen, Lin Yue, Guangdong Bai, Miao Xu |
| 2022 | Rethinking Adjacent Dependency in Session-Based Recommendations. | Qian Zhang, Shoujin Wang, Wenpeng Lu, Chong Feng, Xueping Peng, Qingxiang Wang |
| 2022 | Quantum Entanglement Inspired Correlation Learning for Classification. | Junwei Zhang, Zhao Li, Juan Wang, Yinghui Wang, Shichang Hu, Jie Xiao, Zhaolin Li |
| 2022 | ADAM: An Attentional Data Augmentation Method for Extreme Multi-label Text Classification. | Jiaxin Zhang, Jie Liu, Shaowei Chen, Shaoxin Lin, Bingquan Wang, Shanpeng Wang |
| 2022 | Order-Aware Graph Neural Network for Sequential Recommendation. | Xinlei Zhang, Wendi Ji, Jiahao Yuan, Xiaoling Wang |
| 2022 | Extreme Multi-label Classification with Hierarchical Multi-task for Product Attribute Identification. | Jun Zhang, Menqian Cai, Chenyu Zhao, Xiaowei Zhang, Zhiqian Zhang, Haiheng Chen, Sulong Xu |
| 2022 | Semantics-Guided Disentangled Learning for Recommendation. | Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu |
| 2022 | Attention-to-Embedding Framework for Multi-instance Learning. | Mei Yang, Yu-Xuan Zhang, Mao Ye, Fan Min |
| 2022 | Multi-instance Embedding Learning Through High-level Instance Selection. | Mei Yang, Wen-Xi Zeng, Fan Min |
| 2022 | SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling. | Chih-Chun Yang, Cheng-Te Li, Shou-De Lin |
| 2022 | Multi-granularity Evolution Network for Dynamic Link Prediction. | Yi Yang, Xiaoyan Gu, Haihui Fan, Bo Li, Weiping Wang |
| 2022 | Learning Discriminative Representation Base on Attention for Uplift. | Guoqiang Xu, Cunxiang Yin, Yuchen Zhang, Yuncong Li, Yancheng He, Jing Cai, Zhongyu Wei |
| 2022 | Coded Hate Speech Detection via Contextual Information. | Depeng Xu, Shuhan Yuan, Yueyang Wang, Angela Uchechukwu Nwude, Lu Zhang, Anna Zajicek, Xintao Wu |
| 2022 | Assessing Classifier Fairness with Collider Bias. | Zhenlong Xu, Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang |
| 2022 | Residual Vector Product Quantization for Approximate Nearest Neighbor Search. | Zhi Xu, Lushuai Niu, Ruimin Meng, Longyang Zhao, Jianqiu Ji |
| 2022 | Contrastive Attributed Network Anomaly Detection with Data Augmentation. | Zhiming Xu, Xiao Huang, Yue Zhao, Yushun Dong, Jundong Li |
| 2022 | A Novel Protein Interface Prediction Framework via Hybrid Attention Mechanism. | Haifang Wu, Shujie Luo, Weizhong Zhao, Xingpeng Jiang, Tingting He |
| 2022 | Emerging Scientific Topic Discovery by Finding Infrequent Synonymous Biterms. | Junfeng Wu, Guangyan Huang, Roozbeh Zarei, Jianxin Li, Guang-Li Huang, Hui Zheng, Jing He, Chi-Hung Chi |
| 2022 | Domain-Level Pairwise Semantic Interaction for Aspect-Based Sentiment Classification. | Zhenxin Wu, Jiazheng Gong, Kecen Guo, Guanye Liang, Qingliang Chen, Bo Liu |
| 2022 | Prototypical Classifier for Robust Class-Imbalanced Learning. | Tong Wei, Jiang-Xin Shi, Yufeng Li, Min-Ling Zhang |
| 2022 | Knowledge Lock: Overcoming Catastrophic Forgetting in Federated Learning. | Guoyizhe Wei, Xiu Li |
| 2022 | Sparse Imbalanced Drug-Target Interaction Prediction via Heterogeneous Data Augmentation and Node Similarity. | Runze Wang, Zehua Zhang, Yueqin Zhang, Zhongyuan Jiang, Shilin Sun, Chenwei Zhang |
| 2022 | Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection. | Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen |