| 2021 | International Workshop on Privacy, Security and Trust in Computational Intelligence (PSTCI2021). | Xuyun Zhang, Deepak Puthal, Chi Yang, Guanfeng Liu, Kim-Kwang Raymond Choo, Hongzhi Yin |
| 2021 | QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. | Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang |
| 2021 | Topic Modeling for Multi-Aspect Listwise Comparisons. | Delvin Ce Zhang, Hady W. Lauw |
| 2021 | RxNet: Rx-refill Graph Neural Network for Overprescribing Detection. | Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye |
| 2021 | Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation. | Junwei Zhang, Min Gao, Junliang Yu, Lei Guo, Jundong Li, Hongzhi Yin |
| 2021 | CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms. | Yingying Zhang, Zhengxiong Guan, Huajie Qian, Leili Xu, Hengbo Liu, Qingsong Wen, Liang Sun, Junwei Jiang, Lunting Fan, Min Ke |
| 2021 | Role-oriented Network Embedding Based on Adversarial Learning between Higher-order and Local Features. | Wang Zhang, Xuan Guo, Ting Pan, Chaochao Liu, Pengfei Jiao, Lin Pan, Wenjun Wang |
| 2021 | Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. | Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang |
| 2021 | DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder. | Zhenyu Zhang, Tao Guo, Meng Chen |
| 2021 | Adversarial Separation Network for Cross-Network Node Classification. | Xiaowen Zhang, Yuntao Du, Rongbiao Xie, Chongjun Wang |
| 2021 | Form 10-Q Itemization. | Yanci Zhang, Tianming Du, Yujie Sun, Lawrence Donohue, Rui Dai |
| 2021 | Delve into the Performance Degradation of Differentiable Architecture Search. | Jiuling Zhang, Zhiming Ding |
| 2021 | Causally Attentive Collaborative Filtering. | Jingsen Zhang, Xu Chen, Wayne Xin Zhao |
| 2021 | HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources. | Taolin Zhang, Zerui Cai, Chengyu Wang, Peng Li, Yang Li, Minghui Qiu, Chengguang Tang, Xiaofeng He, Jun Huang |
| 2021 | Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic. | Wenjia Zhang, Lin Gui, Yulan He |
| 2021 | Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information. | Han Zhang, Yu Hao, Xin Cao, Yixiang Fang, Won-Yong Shin, Wei Wang |
| 2021 | Reinforced Active Entity Alignment. | Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan |
| 2021 | Multi-modal Dictionary BERT for Cross-modal Video Search in Baidu Advertising. | Tan Yu, Yi Yang, Yi Li, Lin Liu, Mingming Sun, Ping Li |
| 2021 | Assorted Attention Network for Cross-Lingual Language-to-Vision Retrieval. | Tan Yu, Yi Yang, Hongliang Fei, Yi Li, Xiaodong Chen, Ping Li |
| 2021 | Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback. | HongChien Yu, Chenyan Xiong, Jamie Callan |
| 2021 | MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. | Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, Maosong Sun |
| 2021 | MixBERT for Image-Ad Relevance Scoring in Advertising. | Tan Yu, Xiaokang Li, Jianwen Xie, Ruiyang Yin, Qing Xu, Ping Li |
| 2021 | Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. | Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang |
| 2021 | Storing Multi-model Data in RDBMSs based on Reinforcement Learning. | Gongsheng Yuan, Jiaheng Lu, Shuxun Zhang, Zhengtong Yan |
| 2021 | Multiple Exemplars Learning for Fast Image Retrieval. | Tan Yu, Ping Li |