| 2021 | Top-N Recommendation with Counterfactual User Preference Simulation. | Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang |
| 2021 | Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning. | Dalong Yang, Chuan Chen, Youhao Zheng, Zibin Zheng, Shih-wei Liao |
| 2021 | Adversarial Kernel Sampling on Class-imbalanced Data Streams. | Peng Yang, Ping Li |
| 2021 | Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder. | Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang |
| 2021 | DESTINE: Dense Subgraph Detection on Multi-Layered Networks. | Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong |
| 2021 | Topic-aware Heterogeneous Graph Neural Network for Link Prediction. | Siyong Xu, Cheng Yang, Chuan Shi, Yuan Fang, Yuxin Guo, Tianchi Yang, Luhao Zhang, Maodi Hu |
| 2021 | Expanding Relationship for Cross Domain Recommendation. | Kun Xu, Yuanzhen Xie, Liang Chen, Zibin Zheng |
| 2021 | Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision. | Yonghao Xu, Pedram Ghamisi |
| 2021 | A Chinese Knowledge Base Question Answering System. | Xiaona Xue, Jinling Jiang, Wenjian Zhang, Yanxiang Huang, Xindong Wu |
| 2021 | AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce. | Guohai Xu, Hehong Chen, Feng-Lin Li, Fu Sun, Yunzhou Shi, Zhixiong Zeng, Wei Zhou, Zhongzhou Zhao, Ji Zhang |
| 2021 | Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies. | Zhengqi Xu, Yixuan Cao, Rongyu Cao, Guoxiang Li, Xuanqiang Liu, Yan Pang, Yangbin Wang, Jianfei Zhang, Allie Cheung, Matthew Tam, Lukas Petrikas, Ping Luo |
| 2021 | Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. | Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu |
| 2021 | PATROL: A Velocity Control Framework for Autonomous Vehicle via Spatial-Temporal Reinforcement Learning. | Zhi Xu, Shuncheng Liu, Ziniu Wu, Xu Chen, Kai Zeng, Kai Zheng, Han Su |
| 2021 | Counterfactual Review-based Recommendation. | Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou |
| 2021 | Fairness-Aware Unsupervised Feature Selection. | Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li |
| 2021 | Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. | Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin |
| 2021 | CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. | Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding |
| 2021 | Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images. | Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong |
| 2021 | Crawler Detection in Location-Based Services Using Attributed Action Net. | Wei Xia, Fei Zhao, Haishuai Wang, Peng Zhang, Anhui Wang, Kang Li |
| 2021 | Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. | Wenyi Xiao, Huan Zhao, Vincent W. Zheng, Yangqiu Song |
| 2021 | Incremental Graph Convolutional Network for Collaborative Filtering. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2021 | iMap: Incremental Node Mapping between Large Graphs Using GNN. | Yikuan Xia, Jun Gao, Bin Cui |
| 2021 | Clustering of Conversational Bandits for User Preference Learning and Elicitation. | Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li |
| 2021 | Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders. | Qitian Wu, Chenxiao Yang, Shuodian Yu, Xiaofeng Gao, Guihai Chen |
| 2021 | DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control. | Libing Wu, Min Wang, Dan Wu, Jia Wu |