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2020 – today
- 2022
[j88]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)- [j87]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) - [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]Xusheng Ai, Victor S. Sheng, Chunhua Li:
A MBGD enhancement method for imbalance smoothing. Multim. Tools Appl. 81(17): 24225-24243 (2022) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [c106]Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng:
New Threats to Privacy-preserving Text Representations. HICSS 2022: 1-10 - [c105]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 - [c104]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 - [c103]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 - [c102]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 - [c101]Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng:
Anomaly Detection in Crowdsourced Work with Interval-Valued Labels. IPMU (1) 2022: 504-516 - [c100]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 - [i9]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) - [i8]Durga Prasad Ganta, Himel Das Gupta, Victor S. Sheng:
Knowledge Distillation via Weighted Ensemble of Teaching Assistants. CoRR abs/2206.12005 (2022) - 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]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) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]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
- [j65]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) - [j64]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) - [j63]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) - [j62]Qingren Wang, Min Zhang, Tao Tao, Victor S. Sheng:
Labelling Training Samples Using Crowdsourcing Annotation for Recommendation. Complex. 2020: 1670483:1-1670483:10 (2020) - [j61]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 (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]Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng:
Collaborative Self-Attention Network for Session-based Recommendation. IJCAI 2020: 2591-2597 - [c70]Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu:
Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model. KDD 2020: 1141-1149 - [c69]Himel Das Gupta, Kun Zhang, Victor S. Sheng:
A Simple Ensemble Learning Knowledge Distillation. MLIS 2020: 165-171 - [c68]Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong:
Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. WWW 2020: 2768-2774 - [e1]Giuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu:
20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020. IEEE 2020, ISBN 978-1-7281-9012-9 [contents] - [i5]Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu, Baochuan Fu:
Coarse to Fine: Multi-label Image Classification with Global/Local Attention. CoRR abs/2012.13662 (2020)
2010 – 2019
- 2019
- [j53]Xiaojie Chen, Pengpeng Zhao, Yanchi Liu, Lei Zhao, Junhua Fang, Victor S. Sheng, Zhiming Cui:
Exploiting Aesthetic Features in Visual Contents for Movie Recommendation. IEEE Access 7: 49813-49821 (2019) - [j52]Binbin Che, Pengpeng Zhao, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation. IEEE Access 7: 80644-80650 (2019) - [j51]Zhe Liu, Yuqing Song, Victor S. Sheng, Chunyan Xu, Charlie Maere, Kaifeng Xue, Kai Yang:
MRI and PET image fusion using the nonparametric density model and the theory of variable-weight. Comput. Methods Programs Biomed. 175: 73-82 (2019) - [j50]Zhe Liu, Yu-Qing Song, Victor S. Sheng, Liangmin Wang, Rui Jiang, Xiaolin Zhang, Deqi Yuan:
Liver CT sequence segmentation based with improved U-Net and graph cut. Expert Syst. Appl. 126: 54-63 (2019) - [j49]Wei Fang, Yewen Ding, Feihong Zhang, Victor S. Sheng:
DOG: A new background removal for object recognition from images. Neurocomputing 361: 85-91 (2019) - [j48]Zhaobin Liu, Wenzhi Liu, Qiang Ma, Gang Liu, Liang Zhang, Ligang Fang, Victor S. Sheng:
Security cooperation model based on topology control and time synchronization for wireless sensor networks. J. Commun. Networks 21(5): 469-480 (2019) - [j47]Zhe Liu, Cheng-Jian Qiu, Yu-Qing Song, Xiaohong Liu, Juan Wang, Victor S. Sheng:
Texture Feature Extraction from Thyroid MR Imaging Using High-Order Derived Mean CLBP. J. Comput. Sci. Technol. 34(1): 35-46 (2019) - [j46]Jieren Cheng, Mengyang Li, Xiangyan Tang, Victor S. Sheng, Yifu Liu, Wei Guo:
Corrigendum to "Flow Correlation Degree Optimization Driven Random Forest for Detecting DDoS Attacks in Cloud Computing". Secur. Commun. Networks 2019: 6809054:1 (2019) - [j45]Zhaoqing Pan, Ching-Nung Yang, Victor S. Sheng, Naixue Xiong, Weizhi Meng:
Machine Learning for Wireless Multimedia Data Security. Secur. Commun. Networks 2019: 7682306:1-7682306:2 (2019) - [j44]Victor S. Sheng, Jing Zhang, Bin Gu, Xindong Wu:
Majority Voting and Pairing with Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. 31(7): 1355-1368 (2019) - [j43]Jing Zhang, Ming Wu, Victor S. Sheng:
Ensemble Learning from Crowds. IEEE Trans. Knowl. Data Eng. 31(8): 1506-1519 (2019) - [j42]Yang Zhang, Victor S. Sheng:
Fog-enabled Event Processing Based on IoT Resource Models. IEEE Trans. Knowl. Data Eng. 31(9): 1707-1721 (2019) - [j41]Jing Zhang, Victor S. Sheng, Jian Wu:
Crowdsourced Label Aggregation Using Bilayer Collaborative Clustering. IEEE Trans. Neural Networks Learn. Syst. 30(10): 3172-3185 (2019) - [c67]Pengpeng Zhao, Haifeng Zhu, 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. AAAI 2019: 5877-5884 - [c66]Victor S. Sheng, Jing Zhang:
Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions. AAAI 2019: 9837-9843 - [c65]Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
AdaCML: Adaptive Collaborative Metric Learning for Recommendation. DASFAA (2) 2019: 301-316 - [c64]Anjing Luo, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Zhixu Li, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation. DASFAA (2) 2019: 317-332 - [c63]Jian Liu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Attention and Convolution Enhanced Memory Network for Sequential Recommendation. DASFAA (2) 2019: 333-349 - [c62]Gang Liu, Zhaobin Liu, Victor S. Sheng, Liang Zhang, Yuanfeng Yang:
A Centralized Energy-Efficient Wireless Sensor Network Routing Protocol for the Static Sensor Nodes. EWSN 2019: 384-390 - [c61]Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou:
Graph Contextualized Self-Attention Network for Session-based Recommendation. IJCAI 2019: 3940-3946 - [c60]Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou:
Feature-level Deeper Self-Attention Network for Sequential Recommendation. IJCAI 2019: 4320-4326 - [c59]Yongye Qian, Pengpeng Zhao, Zhixu Li, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui:
Interaction Graph Neural Network for News Recommendation. WISE 2019: 599-614 - [c58]Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor S. Sheng, Zhiming Cui, Xiaofang Zhou, Hui Xiong:
Recurrent Convolutional Neural Network for Sequential Recommendation. WWW 2019: 3398-3404 - [i4]Jieren Cheng, Chen Zhang, Xiangyan Tang, Victor S. Sheng, Zhe Dong, Junqi Li, Jing Chen:
Adaptive DDoS attack detection method based on multiple-kernel learning. CoRR abs/1905.07893 (2019) - [i3]Jian Liu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Fuzhen Zhuang, Jiajie Xu, Xiaofang Zhou, Hui Xiong:
Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation. CoRR abs/1905.13030 (2019) - [i2]Jieren Cheng, Junqi Li, Xiangyan Tang, Victor S. Sheng, Chen Zhang, Mengyang Li:
A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning. CoRR abs/1906.08204 (2019) - 2018
- [j40]Xiaojie Chen, Pengpeng Zhao, Jiajie Xu, Zhixu Li, Lei Zhao, Yanchi Liu, Victor S. Sheng, Zhiming Cui:
Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation. IEEE Access 6: 68874-68881 (2018) - [j39]Qingren Wang, Victor S. Sheng, Xindong Wu:
Document-specific keyphrase candidate search and ranking. Expert Syst. Appl. 97: 163-176 (2018) - [j38]Ziting Zhou, Pengpeng Zhao, Victor S. Sheng, Jiajie Xu, Zhixu Li, Jian Wu, Zhiming Cui:
Efficient sampling methods for characterizing POIs on maps based on road networks. Frontiers Comput. Sci. 12(3): 582-592 (2018) - [j37]Jian Wu, Anqian Guo, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui:
An Active Learning Approach for Multi-Label Image Classification with Sample Noise. Int. J. Pattern Recognit. Artif. Intell. 32(3): 1850005:1-1850005:23 (2018) - [j36]Bin Gu, Yingying Shan, Victor S. Sheng, Yuhui Zheng, Shuo Li:
Sparse regression with output correlation for cardiac ejection fraction estimation. Inf. Sci. 423: 303-312 (2018) - [j35]Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Ziting Zhou, Zhixu Li, Jia-Jie Xu, Lei Zhao, Victor S. Sheng:
A Generative Model Approach for Geo-Social Group Recommendation. J. Comput. Sci. Technol. 33(4): 727-738 (2018) - [j34]Zhenyu Shu, Victor S. Sheng, Jingjing Li:
Learning from crowds with active learning and self-healing. Neural Comput. Appl. 30(9): 2883-2894 (2018) - [j33]Bin Gu, Xin Quan, Yunhua Gu, Victor S. Sheng, Guansheng Zheng:
Chunk incremental learning for cost-sensitive hinge loss support vector machine. Pattern Recognit. 83: 196-208 (2018) - [j32]Jieren Cheng, Chen Zhang, Xiangyan Tang, Victor S. Sheng, Zhe Dong, Junqi Li:
Adaptive DDoS Attack Detection Method Based on Multiple-Kernel Learning. Secur. Commun. Networks 2018: 5198685:1-5198685:19 (2018) - [j31]Jieren Cheng, Mengyang Li, Xiangyan Tang, Victor S. Sheng, Yifu Liu, Wei Guo:
Flow Correlation Degree Optimization Driven Random Forest for Detecting DDoS Attacks in Cloud Computing. Secur. Commun. Networks 2018: 6459326:1-6459326:14 (2018) - [j30]