| 2021 | Physics Interpretable Shallow-Deep Neural Networks for Physical System Identification with Unobservability. | Jingyi Yuan, Yang Weng |
| 2021 | Accurate Graph-Based PU Learning without Class Prior. | Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, U Kang |
| 2021 | Limited-memory Common-directions Method With Subsampled Newton Directions for Large-scale Linear Classification. | Jui-Nan Yen, Chih-Jen Lin |
| 2021 | Towards Stochastic Neural Network via Feature Distribution Calibration. | Hao Yang, Min Wang, Yun Zhou, Yongxin Yang |
| 2021 | Graph-based Adversarial Online Kernel Learning with Adaptive Embedding. | Peng Yang, Xiaoyun Li, Ping Li |
| 2021 | Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting. | Song Yang, Jiamou Liu, Kaiqi Zhao |
| 2021 | Zero-shot Key Information Extraction from Mixed-Style Tables: Pre-training on Wikipedia. | Qingping Yang, Yingpeng Hu, Rongyu Cao, Hongwei Li, Ping Luo |
| 2021 | Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries. | Shuo Yang, Zeyu Feng, Pei Du, Bo Du, Chang Xu |
| 2021 | Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. | Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu |
| 2021 | Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph. | Xiao Xu, Xian Xu, Yuyao Sun, Xiaoshuang Liu, Xiang Li, Guotong Xie, Fei Wang |
| 2021 | Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference. | Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu |
| 2021 | A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. | Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, Praveen Ravirathinam |
| 2021 | Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. | Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou |
| 2021 | Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. | Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan |
| 2021 | Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation. | Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Pengfei Wang, Minghua Deng, Jinwen Ma |
| 2021 | Boosting Deep Ensemble Performance with Hierarchical Pruning. | Yanzhao Wu, Ling Liu |
| 2021 | A Regularized Wasserstein Framework for Graph Kernels. | Asiri Wijesinghe, Qing Wang, Stephen Gould |
| 2021 | PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks. | Jing Wen, Bi-Yi Chen, Chang-Dong Wang, Zhihong Tian |
| 2021 | Learning to Reweight Samples with Offline Loss Sequence. | Yuhua Wei, Xiaoyu Li, Jishang Wei, Buyue Qian, Chen Li |
| 2021 | Nonlinear Causal Structure Learning for Mixed Data. | Wenjuan Wei, Lu Feng |
| 2021 | A Lookahead Algorithm for Robust Subspace Recovery. | Guihong Wan, Haim Schweitzer |
| 2021 | Constrained Non-Affine Alignment of Embeddings. | Yuwei Wang, Yan Zheng, Yanqing Peng, Chin-Chia Michael Yeh, Zhongfang Zhuang, Mahashweta Das, Mangesh Bendre, Feifei Li, Wei Zhang, Jeff M. Phillips |
| 2021 | Aspect-based Sentiment Classification via Reinforcement Learning. | Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu |
| 2021 | BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining. | Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, Philip S. Yu |
| 2021 | Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval. | Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu |