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2020 – today
- 2021
[j75]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)- [j74]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) - [j73]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) - [j72]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) - [j71]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) - [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) - [c88]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 - [c87]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 - [c86]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 - [c85]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 - [c84]Jing Zhao, Pengpeng Zhao, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Variational Self-attention Network for Sequential Recommendation. ICDE 2021: 1559-1570 - [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 - 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]Zhaobin Liu, Qiang Ma, Wenzhi Liu, Victor S. Sheng, Liang Zhang, Gang Liu:
Access Control Model Based on Time Synchronization Trust in Wireless Sensor Networks. Sensors 18(7): 2107 (2018) - [j29]Jing Zhang, Victor S. Sheng, Tao Li, Xindong Wu:
Improving Crowdsourced Label Quality Using Noise Correction. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1675-1688 (2018) - [j28]Bin Gu, Victor S. Sheng:
A Solution Path Algorithm for General Parametric Quadratic Programming Problem. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4462-4472 (2018) - [c57]Haifeng Zhu, Pengpeng Zhao, Zhixu Li, Jiajie Xu, Lei Zhao, Victor S. Sheng:
Exploiting Implicit Social Relationship for Point-of-Interest Recommendation. APWeb/WAIM (2) 2018: 280-297 - [c56]Shuiming Zhong, Xiaoxiang Lu, Meng Li, Chengguang Liu, Yong Cheng, Victor S. Sheng:
An Adaptive Construction Test Method Based on Geometric Calculation for Linearly Separable Problems. ICCCS (6) 2018: 392-405 - [c55]Qingren Wang, Victor S. Sheng, Zhaobin Liu:
Exploring Methods of Assessing Influence Relevance of News Articles. ICCCS (6) 2018: 525-536 - [c54]Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu, Baochuan Fu:
Coarse to Fine: Multi-label Image Classification with Global/Local Attention. ISC2 2018: 1-7 - [i1]Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Zhixu Li, Jiajie Xu, Victor S. Sheng:
Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation. CoRR abs/1806.06671 (2018) - 2017
- [j27]Chunhua Li, Pengpeng Zhao, Victor S. Sheng, Xuefeng Xian, Jian Wu, Zhiming Cui:
Refining Automatically Extracted Knowledge Bases Using Crowdsourcing. Comput. Intell. Neurosci. 2017: 4092135:1-4092135:17 (2017) - [j26]Jian Wu, Chen Ye, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui:
Active learning with label correlation exploration for multi-label image classification. IET Comput. Vis. 11(7): 577-584 (2017) - [j25]Jing Zhang, Victor S. Sheng, Qianmu Li, Jian Wu, Xindong Wu:
Consensus algorithms for biased labeling in crowdsourcing. Inf. Sci. 382-383: 254-273 (2017) - [j24]Xusheng Ai, Jian Wu, Zhiming Cui, Victor S. Sheng:
Broaden the minority class space for decision tree induction using antigen-derived detectors. Knowl. Based Syst. 137: 196-205 (2017) - [j23]Bin Gu, Victor S. Sheng, KengYeow Tay, Walter Romano, Shuo Li:
Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1103-1121 (2017) - [j22]Jian Wu, Shiquan Zhao, Victor S. Sheng, Jing Zhang, Chen Ye, Pengpeng Zhao, Zhiming Cui:
Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification. IEEE Trans. Multim. 19(6): 1156-1169 (2017) - [j21]Bin Gu, Victor S. Sheng:
A Robust Regularization Path Algorithm for ν-Support Vector Classification. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1241-1248 (2017) - [j20]Bin Gu, Xingming Sun, Victor S. Sheng:
Structural Minimax Probability Machine. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1646-1656 (2017) - [j19]Pengpeng Zhao, Hailin Fang, Victor S. Sheng, Zhixu Li, Jiajie Xu, Jian Wu, Zhiming Cui:
Monochromatic and bichromatic ranked reverse boolean spatial keyword nearest neighbors search. World Wide Web 20(1): 39-59 (2017) - [j18]Pengpeng Zhao, Hanhan Jiang, Jiajie Xu, Victor S. Sheng, Guanfeng Liu, An Liu, Jian Wu, Zhiming Cui:
Location-aware publish/subscribe index with complex boolean expressions. World Wide Web 20(6): 1363-1384 (2017) - [c53]Qingren Wang, Victor S. Sheng, Xindong Wu:
Keyphrase Extraction with Sequential Pattern Mining. AAAI 2017: 5003-5004 - [c52]Qingren Wang, Victor S. Sheng, Chenyi Hu:
Keyphrase Extraction Using Sequential Pattern Mining and Entropy. ICBK 2017: 88-95 - [c51]Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, Hui Xiong:
Exploiting Hierarchical Structures for POI Recommendation. ICDM 2017: 655-664 - [c50]Anqian Guo, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui:
Multi-label active learning with low-rank mapping for image classification. ICME 2017: 259-264 - [c49]Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong:
Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation. ACM Multimedia 2017: 916-924 - [c48]Jian Wu, Anqian Guo, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui, Hua Li:
Adaptive Low-Rank Multi-Label Active Learning for Image Classification. ACM Multimedia 2017: 1336-1344 - [c47]Jing Zhang, Victor S. Sheng, Tao Li:
Label Aggregation for Crowdsourcing with Bi-Layer Clustering. SIGIR 2017: 921-924 - [c46]Yan Long, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, Jiajie Xu, Jian Wu, Zhiming Cui:
Social Personalized Ranking Embedding for Next POI Recommendation. WISE (1) 2017: 91-105 - [r5]Charles X. Ling, Victor S. Sheng:
Class Imbalance Problem. Encyclopedia of Machine Learning and Data Mining 2017: 204-205 - [r4]Charles X. Ling, Victor S. Sheng:
Cost-Sensitive Learning. Encyclopedia of Machine Learning and Data Mining 2017: 285-289 - 2016
- [j17]Jing Zhang, Xindong Wu, Victor S. Sheng:
Learning from crowdsourced labeled data: a survey. Artif. Intell. Rev. 46(4): 543-576 (2016) - [j16]Xuefeng Xian, Pengpeng Zhao, Victor S. Sheng, Ligang Fang, Caidong Gu, Yuanfeng Yang, Zhiming Cui:
Stratification-Based Outlier Detection over the Deep Web. Comput. Intell. Neurosci. 2016: 7386517:1-7386517:13 (2016) - [j15]Bryce Nicholson, Victor S. Sheng, Jing Zhang:
Label noise correction and application in crowdsourcing. Expert Syst. Appl. 66: 149-162 (2016) - [j14]Xuesong Yan, Qinghua Wu, Victor S. Sheng:
A Double Weighted Naive Bayes with Niching Cultural Algorithm for Multi-Label Classification. Int. J. Pattern Recognit. Artif. Intell. 30(6): 1650013:1-1650013:23 (2016) - [j13]Chaoqun Li, Victor S. Sheng, Liangxiao Jiang, Hongwei Li:
Noise filtering to improve data and model quality for crowdsourcing. Knowl. Based Syst. 107: 96-103 (2016) - [j12]Jing Zhang, Victor S. Sheng, Jian Wu, Xindong Wu:
Multi-Class Ground Truth Inference in Crowdsourcing with Clustering. IEEE Trans. Knowl. Data Eng. 28(4): 1080-1085 (2016) - [c45]Hanhan Jiang, Pengpeng Zhao, Victor S. Sheng, Jiajie Xu, An Liu, Jian Wu, Zhiming Cui:
An Efficient Location-Aware Top-k Subscription Matching for Publish/Subscribe with Boolean Expressions. DASFAA (2) 2016: 335-350 - [c44]Jian Wu, Shiquan Zhao, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui:
Multi-label active learning for image classification with asymmetrical conditional dependence. ICME 2016: 1-6 - [c43]Jie Liu, Lin Zhang, Victor S. Sheng, Yuanjun Laili:
Social Recommendation Terms: Probabilistic Explanation Optimization. Monterey Workshop 2016: 155-167 - [c42]Chunhua Li, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, Guanfeng Liu, Jian Wu, Zhiming Cui:
A Hybrid Machine-Crowdsourcing Approach for Web Table Matching and Cleaning. WAIM (2) 2016: 132-144 - 2015
- [j11]Xusheng Ai, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui:
Immune Centroids Oversampling Method for Binary Classification. Comput. Intell. Neurosci. 2015: 109806:1-109806:11 (2015) - [j10]Jing Zhang, Victor S. Sheng, Bryce Nicholson, Xindong Wu:
CEKA: a tool for mining the wisdom of crowds. J. Mach. Learn. Res. 16: 2853-2858 (2015) - [j9]Bin Gu, Victor S. Sheng, Zhijie Wang, Derek Ho, Said Osman, Shuo Li:
Incremental learning for ν-Support Vector Regression. Neural Networks 67: 140-150 (2015) - [j8]