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2020 – today
- 2023
[j106]Cheng-Jian Qiu
, Zhe Liu, Yuqing Song, Jing Yin, Kai Han, Yan Zhu, Yi Liu, Victor S. Sheng:
RTUNet: Residual transformer UNet specifically for pancreas segmentation. Biomed. Signal Process. Control. 79(Part): 104173 (2023)- [j105]Fan Xu, Victor S. Sheng, Mingwen Wang:
A Unified Perspective for Disinformation Detection and Truth Discovery in Social Sensing: A Survey. ACM Comput. Surv. 55(2): 6:1-6:33 (2023) - [j104]Ming Wu, Qianmu Li, Fei Yang, Jing Zhang, Victor S. Sheng, Jun Hou:
Learning from biased crowdsourced labeling with deep clustering. Expert Syst. Appl. 211: 118608 (2023) - [j103]Huijuan Zhu, Wei Gu, Liangmin Wang, Zhi-cheng Xu, Victor S. Sheng:
Android malware detection based on multi-head squeeze-and-excitation residual network. Expert Syst. Appl. 212: 118705 (2023) - [j102]Han Li, Huan Rong, Victor S. Sheng, Yuqing Song, Cheng-Jian Qiu, Kai Han, Zhe Liu:
Cascaded multi-point regression Network for high-quality generic lesion detection. Expert Syst. Appl. 214: 119141 (2023) - [j101]Huijuan Zhu, Huahui Wei, Liangmin Wang, Zhi-cheng Xu, Victor S. Sheng:
An effective end-to-end android malware detection method. Expert Syst. Appl. 218: 119593 (2023) - [j100]Wei Fang, Xuelei Jia, Wen Zhang, Victor S. Sheng:
A New Distributed Log Anomaly Detection Method based on Message Middleware and ATT-GRU. KSII Trans. Internet Inf. Syst. 17(2): 486-503 (2023) - [j99]Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang:
An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection. Knowl. Inf. Syst. 65(1): 59-87 (2023) - [j98]Yongjing Hao, Jun Ma, Pengpeng Zhao, Guanfeng Liu, Xuefeng Xian, Lei Zhao, Victor S. Sheng:
Multi-dimensional Graph Neural Network for Sequential Recommendation. Pattern Recognit. 139: 109504 (2023) - [j97]Jing Zhang, Sunyue Xu, Victor S. Sheng:
Crowdmeta: Crowdsourcing truth inference with meta-Knowledge transfer. Pattern Recognit. 140: 109525 (2023) - [j96]Wei Fang, Lin Pang, Victor S. Sheng, Qiguang Wang:
STUNNER: Radar Echo Extrapolation Model Based on Spatiotemporal Fusion Neural Network. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j95]Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 17(6): 80:1-80:22 (2023) - [j94]Qingren Wang, Chengcheng Zhu, Yiwen Zhang, Hong Zhong, Jinqin Zhong, Victor S. Sheng:
Short Text Topic Learning Using Heterogeneous Information Network. IEEE Trans. Knowl. Data Eng. 35(5): 5269-5281 (2023) - [i18]Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng:
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). CoRR abs/2302.04373 (2023) - [i17]Huixin Zhan, Victor S. Sheng:
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. CoRR abs/2302.04383 (2023) - [i16]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. CoRR abs/2304.07763 (2023) - [i15]Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao:
Sequential Recommendation with Probabilistic Logical Reasoning. CoRR abs/2304.11383 (2023) - [i14]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. CoRR abs/2304.14668 (2023) - [i13]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. CoRR abs/2305.04322 (2023) - 2022
- [j93]Qingren Wang, Min Zhang, Yiwen Zhang, Jinqin Zhong, Victor S. Sheng:
Location-based deep factorization machine model for service recommendation. Appl. Intell. 52(9): 9899-9918 (2022) - [j92]Wei Fang, Enming Gu, Weinan Yi, Weiqing Wang, Victor S. Sheng:
A New Method of Image Restoration Technology Based on WGAN. Comput. Syst. Sci. Eng. 41(2): 689-698 (2022) - [j91]Can Xiao, Feng Li, Dengyong Zhang, Pu Huang, Xiangling Ding, Victor S. Sheng:
Image Inpainting Detection Based on High-Pass Filter Attention Network. Comput. Syst. Sci. Eng. 43(3): 1145-1154 (2022) - [j90]Zhe Liu, Jun Su, Ruihao Wang, Rui Jiang, Yu-Qing Song, Dengyong Zhang, Yan Zhu, Deqi Yuan, Qingsong Gan, Victor S. Sheng:
Pancreas Co-segmentation based on dynamic ROI extraction and VGGU-Net. Expert Syst. Appl. 192: 116444 (2022) - [j89]Cangqi Zhou, Jing Zhang, Kaisheng Gao, Qianmu Li, Dianming Hu, Victor S. Sheng:
Bipartite network embedding with Symmetric Neighborhood Convolution. Expert Syst. Appl. 198: 116757 (2022) - [j88]Qingren Wang, Jian Lu, Wei Li, Jing Zhang, Victor S. Sheng:
Homophily-aware correction framework for crowdsourced labels using heterogeneous information network. Expert Syst. Appl. 200: 116896 (2022) - [j87]Dengyong Zhang, Pengjie Wu, Feng Li, Wenjie Zhu, Victor S. Sheng:
Cascaded-Hop For DeepFake Videos Detection. KSII Trans. Internet Inf. Syst. 16(5): 1671-1686 (2022) - [j86]Jingxin Liu, Jieren Cheng, Xin Peng, Zeli Zhao, Xiangyan Tang, Victor S. Sheng:
MSFM: Multi-view Semantic Feature Fusion Model for Chinese Named Entity Recognition. KSII Trans. Internet Inf. Syst. 16(6): 1833-1848 (2022) - [j85]Xusheng Ai, Victor S. Sheng, Chunhua Li:
A MBGD enhancement method for imbalance smoothing. Multim. Tools Appl. 81(17): 24225-24243 (2022) - [j84]Wei Fang, Weinan Yi, Lin Pang, Victor S. Sheng:
Study of cross-domain person re-identification based on DCGAN. Multim. Tools Appl. 81(25): 36551-36565 (2022) - [j83]Lei Shu, Gerhard P. Hancke, Victor S. Sheng, Liangmin Wang:
Guest Editorial: Reliability and Security for Intelligent Wireless Sensing and Control Systems. IEEE Trans. Ind. Informatics 18(4): 2651-2655 (2022) - [j82]Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan:
A Self-Play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario. IEEE Trans. Knowl. Data Eng. 34(3): 1021-1037 (2022) - [j81]Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. 34(5): 2512-2524 (2022) - [j80]Huijuan Zhu, Liang-Min Wang, Sheng Zhong, Yang Li, Victor S. Sheng:
A Hybrid Deep Network Framework for Android Malware Detection. IEEE Trans. Knowl. Data Eng. 34(12): 5558-5570 (2022) - [j79]Gang Liu, Zhaobin Liu, Victor S. Sheng, Liang Zhang, Yuanfeng Yang:
A Novel Energy-Efficient, Static Scenario-Oriented Routing Method of Wireless Sensor Network Based on Edge Computing. Wirel. Commun. Mob. Comput. 2022: 3450361:1-3450361:25 (2022) - [c114]Hui Shi, Hanwen Du, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao:
Self-guided Contrastive Learning for Sequential Recommendation. APWeb/WAIM (3) 2022: 72-86 - [c113]Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Proximal Cost-sensitive Sparse Group Online Learning. Big Data 2022: 495-504 - [c112]Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CIKM 2022: 396-405 - [c111]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
New Threats to Privacy-preserving Text Representations. HICSS 2022: 1-10 - [c110]Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng:
HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets. ICKG 2022: 329-336 - [c109]Yuanshen Li, Jieren Cheng, Hui Li, Yuming Yuan, Victor S. Sheng:
A Survey of Consensus Mechanism Based on Reputation Model. ICAIS (3) 2022: 208-221 - [c108]Xiaolong Chen, Jieren Cheng, Jingxin Liu, Wenghang Xu, Shuai Hua, Zhu Tang, Victor S. Sheng:
A Survey of Multi-label Text Classification Based on Deep Learning. ICAIS (1) 2022: 443-456 - [c107]Hao Guo, Jieren Cheng, Janghao Wang, Tao Chen, Yuming Yuan, Hui Li, Victor S. Sheng:
IoT Data Blockchain-Based Transaction Model Using Zero-Knowledge Proofs and Proxy Re-encryption. ICAIS (2) 2022: 573-586 - [c106]Jingxin Liu, Jieren Cheng, Ziyan Wang, Congqiang Lou, Chenli Shen, Victor S. Sheng:
A Survey of Deep Learning for Named Entity Recognition in Chinese Social Media. ICAIS (1) 2022: 573-582 - [c105]Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Projection Dual Averaging Based Second-order Online Learning. ICDM 2022: 51-60 - [c104]Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Quaternion-Based Graph Contrastive Learning for Recommendation. IJCNN 2022: 1-8 - [c103]Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems. IJCNN 2022: 1-8 - [c102]Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng:
Anomaly Detection in Crowdsourced Work with Interval-Valued Labels. IPMU (1) 2022: 504-516 - [c101]Aaron Moody, Chenyi Hu, Huixin Zhan, Makenzie Spurling, Victor S. Sheng:
Towards Explainable Summary of Crowdsourced Reviews Through Text Mining. IPMU (1) 2022: 528-541 - [c100]Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui:
Click is Not Equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation. WISE 2022: 443-459 - [i12]Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation. CoRR abs/2204.10128 (2022) - [i11]Durga Prasad Ganta, Himel Das Gupta, Victor S. Sheng:
Knowledge Distillation via Weighted Ensemble of Teaching Assistants. CoRR abs/2206.12005 (2022) - [i10]Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CoRR abs/2208.03895 (2022) - [i9]Xusheng Ai, Victor S. Sheng, Chunhua Li:
Class-attention Video Transformer for Engagement Intensity Prediction. CoRR abs/2208.07216 (2022) - [i8]Himel Das Gupta, Victor S. Sheng:
A Roadmap to Domain Knowledge Integration in Machine Learning. CoRR abs/2212.05712 (2022) - 2021
- [j78]Jian Wu, Victor S. Sheng, Jing Zhang, Hua Li, Tetiana Dadakova, Christine Leon Swisher, Zhiming Cui, Pengpeng Zhao:
Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise. ACM Comput. Surv. 53(2): 28:1-28:35 (2021) - [j77]Zhe Liu, Xi Xie, Yuqing Song, Yang Zhang, Xuesheng Liu, Jiawen Zhang, Victor S. Sheng:
MLANet: Multi-Layer Anchor-free Network for generic lesion detection. Eng. Appl. Artif. Intell. 102: 104255 (2021) - [j76]Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu, Victor S. Sheng:
Multi-label graph node classification with label attentive neighborhood convolution. Expert Syst. Appl. 180: 115063 (2021) - [j75]Huixin Zhan, Victor S. Sheng, Wei-Ming Lin:
Reinforcement learning-based register renaming policy for simultaneous multithreading CPUs. Expert Syst. Appl. 186: 115717 (2021) - [j74]Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Long- and short-term self-attention network for sequential recommendation. Neurocomputing 423: 580-589 (2021) - [j73]Wei Fang, Feihong Zhang, Victor S. Sheng, Yewen Ding:
SCENT: A new precipitation nowcasting method based on sparse correspondence and deep neural network. Neurocomputing 448: 10-20 (2021) - [j72]Zhihua Zheng, Victor S. Sheng, Lei Wang, Zhi Li, Xue-Feng Xi, Zhiming Cui:
SemicNet: a semicircular network for the segmentation of the liver and its lesions. Int. J. Sens. Networks 35(3): 161-169 (2021) - [j71]Jieren Cheng, Jingxin Liu, Xinbin Xu, Dongwan Xia, Le Liu, Victor S. Sheng:
A review of Chinese named entity recognition. KSII Trans. Internet Inf. Syst. 15(6): 2012-2030 (2021) - [j70]Jun Su, Zhe Liu, Jing Zhang, Victor S. Sheng, Yuqing Song, Yan Zhu, Yi Liu:
DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function. Knowl. Based Syst. 232: 107471 (2021) - [j69]Zhong Chen, Zhide Fang, Victor S. Sheng, Jiabin Zhao, Wei Fan, Andrea Edwards, Kun Zhang:
Adaptive robust local online density estimation for streaming data. Int. J. Mach. Learn. Cybern. 12(6): 1803-1824 (2021) - [j68]Zhe Liu, Kai Han, Zhaohui Wang, Jing Zhang, Yuqing Song, Xu Yao, Deqi Yuan, Victor S. Sheng:
Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks. Multim. Syst. 27(1): 111-124 (2021) - [j67]Wenmin Lin, Xuyun Zhang, Lianyong Qi, Weimin Li, Shancang Li, Victor S. Sheng, Surya Nepal:
Location-Aware Service Recommendations With Privacy-Preservation in the Internet of Things. IEEE Trans. Comput. Soc. Syst. 8(1): 227-235 (2021) - [j66]Liangmin Wang, Hantao Mei, Victor S. Sheng:
Multilevel Identification and Classification Analysis of Tor on Mobile and PC Platforms. IEEE Trans. Ind. Informatics 17(2): 1079-1088 (2021) - [j65]Pengpeng Zhao, Chengfeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong, Xiaofang Zhou:
Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation. IEEE Trans. Knowl. Data Eng. 33(4): 1708-1721 (2021) - [c99]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
K2-GNN: Multiple Users' Comments Integration with Probabilistic K-Hop Knowledge Graph Neural Networks. ACML 2021: 1477-1492 - [c98]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
HGATs: hierarchical graph attention networks for multiple comments integration. ASONAM 2021: 159-163 - [c97]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
Multi-objective Privacy-preserving Text Representation Learning. CIKM 2021: 3612-3616 - [c96]Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Considering Interaction Sequence of Historical Items for Conversational Recommender System. DASFAA (3) 2021: 115-131 - [c95]Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Knowledge-Aware Hypergraph Neural Network for Recommender Systems. DASFAA (3) 2021: 132-147 - [c94]Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Learning Disentangled User Representation Based on Controllable VAE for Recommendation. DASFAA (3) 2021: 179-194 - [c93]Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng:
Tell Me Where to Go Next: Improving POI Recommendation via Conversation. DASFAA (3) 2021: 211-227 - [c92]Durga Prasad Ganta, Himel Das Gupta, Victor S. Sheng:
Knowledge Distillation via Weighted Ensemble of Teaching Assistants. ICBK 2021: 30-37 - [c91]Zhong Chen, Zhide Fang, Victor S. Sheng, Andrea Edwards, Kun Zhang:
CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data. ICBK 2021: 164-173 - [c90]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization. ICBK 2021: 323-330 - [c89]Jing Zhao, Pengpeng Zhao, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Variational Self-attention Network for Sequential Recommendation. ICDE 2021: 1559-1570 - [c88]Chenyi Hu, Victor S. Sheng, Ningning Wu, Xintao Wu:
Managing Uncertainty in Crowdsourcing with Interval-Valued Labels. NAFIPS 2021: 166-178 - [c87]Jiawei Wang, Zhe Liu, Victor S. Sheng, Yuqing Song, Chenjian Qiu:
SaliencyBERT: Recurrent Attention Network for Target-Oriented Multimodal Sentiment Classification. PRCV (3) 2021: 3-15 - [c86]Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng:
Estimating crowd-worker's reliability with interval-valued labels to improve the quality of crowdsourced work. SSCI 2021: 1-8 - [c85]Shenghao Zheng, Xuefeng Xian, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao:
Exploiting Intra and Inter-field Feature Interaction with Self-Attentive Network for CTR Prediction. WISE (2) 2021: 34-49 - [c84]Yepeng Li, Xuefeng Xian, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng:
MGSAN: A Multi-granularity Self-attention Network for Next POI Recommendation. WISE (2) 2021: 193-208 - [c83]Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin:
Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. WWW 2021: 3884-3895 - [i7]Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou:
Quaternion-Based Graph Convolution Network for Recommendation. CoRR abs/2111.10536 (2021) - [i6]Yunyi Li, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou:
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. CoRR abs/2111.10539 (2021) - 2020
- [j64]Xue-Feng Xi, Lei Wang, Victor S. Sheng, Zhiming Cui, Baochuan Fu, Fuyuan Hu:
Cascade U-ResNets for Simultaneous Liver and Lesion Segmentation. IEEE Access 8: 68944-68952 (2020) - [j63]Xusheng Ai, Victor S. Sheng, Wei Fang, Charles X. Ling, Chunhua Li:
Ensemble Learning With Attention-Integrated Convolutional Recurrent Neural Network for Imbalanced Speech Emotion Recognition. IEEE Access 8: 199909-199919 (2020) - [j62]James Palmer, Victor S. Sheng, Travis Atkison, Bernard Chen:
Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics. Big Data Min. Anal. 3(1): 1-12 (2020) - [j61]Qingren Wang, Min Zhang, Tao Tao, Victor S. Sheng:
Labelling Training Samples Using Crowdsourcing Annotation for Recommendation. Complex. 2020: 1670483:1-1670483:10 (2020) - [j60]Qianmu Li, Yanjun Song, Jing Zhang, Victor S. Sheng:
Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering. Expert Syst. Appl. 147: 113152 (2020) - [j59]Xuesong Yan, Chengyu Hu, Victor S. Sheng:
Data-driven pollution source location algorithm in water quality monitoring sensor networks. Int. J. Bio Inspired Comput. 15(3): 171-180 (2020) - [j58]Qingren Wang, Chuankai Feng, Yan Xu, Hong Zhong, Victor S. Sheng:
A novel privacy-preserving speech recognition framework using bidirectional LSTM. J. Cloud Comput. 9: 36 (2020) - [j57]Liling Zhao, Yifei Chen, Victor S. Sheng:
A real-time typhoon eye detection method based on deep learning for meteorological information forensics. J. Real Time Image Process. 17(1): 95-102 (2020) - [j56]Fan Xu, Victor S. Sheng, Mingwen Wang:
Near real-time topic-driven rumor detection in source microblogs. Knowl. Based Syst. 207: 106391 (2020) - [j55]Xusheng Ai, Victor S. Sheng, Wei Fang, Charles X. Ling:
An optimal model with a lower bound of recall for imbalanced speech emotion recognition. Multim. Tools Appl. 79(33-34): 24281-24301 (2020) - [j54]Zhaoqing Pan, Weijie Yu, Bosi Wang, Haoran Xie, Victor S. Sheng, Jianjun Lei, Sam Kwong:
Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges. IEEE Trans. Emerg. Top. Comput. Intell. 4(4): 500-522 (2020) - [c82]Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng:
Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. AAAI 2020: 540-547 - [c81]Liu Yang, Tingxuan Chen, Junyu Zhang, Jun Long, Zhigang Hu, Victor S. Sheng:
Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG. APWeb/WAIM (1) 2020: 145-153 - [c80]Xingwei Zhu, Pengpeng Zhao, Jiajie Xu, Junhua Fang, Lei Zhao, Xuefeng Xian, Zhiming Cui, Victor S. Sheng:
Knowledge Graph Attention Network Enhanced Sequential Recommendation. APWeb/WAIM (1) 2020: 181-195 - [c79]Jiacheng Ni, Pengpeng Zhao, Jiajie Xu, Junhua Fang, Zhixu Li, Xuefeng Xian, Zhiming Cui, Victor S. Sheng:
Spatio-Temporal Self-Attention Network for Next POI Recommendation. APWeb/WAIM (1) 2020: 409-423 - [c78]Vinay Jayachandra Reddy, Rashmi Kesidi, Zhou Yang, Chen Zhang, Zhenhe Pan, Victor S. Sheng, Fang Jin:
BeSober: Assisting relapse prevention in Alcohol Addiction using a novel mobile app-based intervention. ASONAM 2020: 944-947 - [c77]Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Junhua Fang, Fuzhen Zhuang:
Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction. DASFAA (1) 2020: 386-402 - [c76]Jing Zhao, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Zhixu Li, Lei Zhao:
Hierarchical Variational Attention for Sequential Recommendation. DASFAA (3) 2020: 523-539 - [c75]Jun Ma, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Lei Zhao:
Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation. DASFAA (3) 2020: 557-572 - [c74]Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng:
Cross-Domain Recommendation with Adversarial Examples. DASFAA (3) 2020: 573-589 - [c73]Himel Das Gupta, Victor S. Sheng:
A Roadmap to Domain Knowledge Integration in Machine Learning. ICKG 2020: 145-151 - [c72]Giuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea:
The IEEE ICDM 2020 Workshops. ICDM (Workshops) 2020: 26-29 - [c71]