| 2020 | Partial Label Learning via Generative Adversarial Nets. | Yabin Zhang, Guang Yang, Suyun Zhao, Peng Ni, Hairong Lian, Hong Chen, Cuiping Li |
| 2020 | Leveraging Human Prior Knowledge to Learn Sense Representations. | Tong Zhang, Wei Ye, Xiangyu Xi, Long Zhang, Shikun Zhang, Wen Zhao |
| 2020 | Knowledge Distillation for Model-Agnostic Meta-Learning. | Min Zhang, Donglin Wang, Sibo Gai |
| 2020 | Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition. | Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin, Meng Wang |
| 2020 | Common and Discriminative Semantic Pursuit for Multi-Modal Multi-Label Learning. | Yi Zhang, Jundong Shen, Zhecheng Zhang, Chongjun Wang |
| 2020 | Convolutional Dictionary Pair Learning Network for Image Representation Learning. | Zhao Zhang, Yulin Sun, Yang Wang, Zhengjun Zha, Shuicheng Yan, Meng Wang |
| 2020 | Verification of Recurrent Neural Networks for Cognitive Tasks via Reachability Analysis. | Hongce Zhang, Maxwell Shinn, Aarti Gupta, Arie Gurfinkel, Nham Le, Nina Narodytska |
| 2020 | Learning Fairness-Aware Relational Structures. | Yue Zhang, Arti Ramesh |
| 2020 | Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors. | Yue Zhang, Arti Ramesh |
| 2020 | Saliency Detection with Deformable Convolution and Feature Attention. | Zhe Zhang, Junhui Ma, Panpan Xu, Wencheng Wang |
| 2020 | MetaSelection: Metaheuristic Sub-Structure Selection for Neural Network Pruning Using Evolutionary Algorithm. | Zixun Zhang, Zhen Li, Lin Lin, Na Lei, Guanbin Li, Shuguang Cui |
| 2020 | Robust Multi-Instance Learning with Stable Instances. | Weijia Zhang, Lin Liu, Jiuyong Li |
| 2020 | Assessing the Memory Ability of Recurrent Neural Networks. | Cheng Zhang, Qiuchi Li, Lingyu Hua, Dawei Song |
| 2020 | Latent Weights Generating for Few Shot Learning Using Information Theory. | Yiwei Zhang, Zongyang Li |
| 2020 | Strong Statistical Correlation Revealed by Quantum Entanglement for Supervised Learning. | Junwei Zhang, Yuexian Hou, Zhao Li, Long Zhang, Xia Chen |
| 2020 | Finding Quantum Critical Points with Neural-Network Quantum States. | Remmy A. M. Zen, Long My, Ryan Tan, Frdric Hbert, Mario Gattobigio, Christian Miniatura, Dario Poletti, Stphane Bressan |
| 2020 | Distantly Supervised Question Parsing. | Hamid Zafar, Maryam Tavakol, Jens Lehmann |
| 2020 | Tutor-Instructing Global Pruning for Accelerating Convolutional Neural Networks. | Fang Yu, Li Cui |
| 2020 | Black-Box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN. | Junkun Yuan, Shaofang Zhou, Lanfen Lin, Feng Wang, Jia Cui |
| 2020 | Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Latent Factor Analysis. | Ye Yuan, Mingsheng Shang, Xin Luo |
| 2020 | Document and Word Representations Generated by Graph Convolutional Network and BERT for Short Text Classification. | Zhihao Ye, Gongyao Jiang, Ye Liu, Zhiyong Li, Jin Yuan |
| 2020 | A Variant of Recurrent Entity Networks for Targeted Aspect-Based Sentiment Analysis. | Zhihao Ye, Zhiyong Li |
| 2020 | Group Behavior Recognition Using Attention- and Graph-Based Neural Networks. | Fangkai Yang, Wenjie Yin, Tetsunari Inamura, Mrten Bjrkman, Christopher Peters |
| 2020 | Multi-Scale Long Short-Term Memory Network with Multi-Lag Structure for Blood Glucose Prediction. | Tao Yang, Ruikun Wu, Rui Tao, Shuang Wen, Ning Ma, Yuhang Zhao, Xia Yu, Hongru Li |
| 2020 | Multi-Label Learning with Deep Forest. | Liang Yang, Xi-Zhu Wu, Yuan Jiang, Zhi-Hua Zhou |