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2020 – today
- 2020
[j86]Weitao Xu
, Xiang Zhang, Lina Yao, Wanli Xue, Bo Wei:
A multi-view CNN-based acoustic classification system for automatic animal species identification. Ad Hoc Networks 102: 102115 (2020)- [j85]Bin Guo, Xing Xie, Lina Yao, Yong Li, Xia Hu:
Correction to: Special issue on recommender system. CCF Trans. Pervasive Comput. Interact. 2(1): 78 (2020) - [j84]Sin Kuang Lo, Xiwei Xu, Mark Staples, Lina Yao:
Reliability analysis for blockchain oracles. Comput. Electr. Eng. 83: 106582 (2020) - [j83]Lifan Li, Lina Yao:
Discrete-Time 2-Order Sliding Mode Fault-Tolerant Tracking Control for Non-Gaussian Nonlinear Stochastic Distribution Control Systems with Missing Measurements. Complex. 2020: 9704861:1-9704861:13 (2020) - [j82]Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu:
The Future of False Information Detection on Social Media: New Perspectives and Trends. ACM Comput. Surv. 53(4): 68:1-68:36 (2020) - [j81]Yang Xiao, Qingqi Pei, Lina Yao, Xianzhi Wang:
RecRisk: An enhanced recommendation model with multi-facet risk control. Expert Syst. Appl. 158: 113561 (2020) - [j80]Yang Xiao, Lina Yao, Qingqi Pei, Xianzhi Wang, Jian Yang, Quan Z. Sheng:
MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation. IEEE Intell. Syst. 35(5): 7-17 (2020) - [j79]Yunfeng Kang, Lina Yao, Yuwei Ren:
Fault diagnosis and model predictive fault-tolerant control for stochastic distribution collaborative systems based on the T-S fuzzy model. Int. J. Syst. Sci. 51(4): 719-730 (2020) - [j78]Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Bin Guo, Zhiwen Yu:
Adversarial Multi-view Networks for Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 42:1-42:22 (2020) - [j77]Huan Liu, Lina Yao, Qinghua Zheng, Minnan Luo, Hongke Zhao, Yanzhang Lyu:
Dual-stream generative adversarial networks for distributionally robust zero-shot learning. Inf. Sci. 519: 407-422 (2020) - [j76]Yang Xiao, Qingqi Pei, Lina Yao, Shui Yu, Lei Bai, Xianzhi Wang:
An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness. J. Netw. Comput. Appl. 156: 102579 (2020) - [j75]Lina Yao, Fengzhe Li:
Mobile Robot Localization Based on Vision and Multisensor. J. Robotics 2020: 8701619:1-8701619:11 (2020) - [j74]Huan Liu, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan, Lina Yao:
Memory transformation networks for weakly supervised visual classification. Knowl. Based Syst. 210: 106432 (2020) - [j73]May S. Altulyan, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Chaoran Huang:
A unified framework for data integrity protection in people-centric smart cities. Multim. Tools Appl. 79(7-8): 4989-5002 (2020) - [j72]Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang:
Software expert discovery via knowledge domain embeddings in a collaborative network. Pattern Recognit. Lett. 130: 46-53 (2020) - [j71]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning:
Opinion fraud detection via neural autoencoder decision forest. Pattern Recognit. Lett. 132: 21-29 (2020) - [j70]Yuxin Zhang, Pari Delir Haghighi, Frada Burstein, Lim Wei Yap, Wenlong Cheng, Lina Yao, Flavia M. Cicuttini:
Electronic Skin Wearable Sensors for Detecting Lumbar-Pelvic Movements. Sensors 20(5): 1510 (2020) - [j69]Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Xiaojun Chang, Yunhao Liu:
Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. IEEE Trans. Cybern. 50(7): 3033-3044 (2020) - [j68]Shuai Zhang, Lina Yao, Bin Wu, Xiwei Xu, Xiang Zhang, Liming Zhu:
Unraveling Metric Vector Spaces With Factorization for Recommendation. IEEE Trans. Ind. Informatics 16(2): 732-742 (2020) - [j67]Xiang Zhang, Lina Yao, Chaoran Huang, Tao Gu, Zheng Yang, Yunhao Liu:
DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves. ACM Trans. Intell. Syst. Technol. 11(4): 49:1-49:24 (2020) - [j66]Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao:
Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals. IEEE J. Biomed. Health Informatics 24(9): 2570-2579 (2020) - [j65]Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li:
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. IEEE J. Biomed. Health Informatics 24(10): 2852-2859 (2020) - [j64]Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie:
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1747-1756 (2020) - [j63]Weitong Chen, Guodong Long, Lina Yao, Quan Z. Sheng:
AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction. World Wide Web 23(5): 2753-2770 (2020) - [c133]Zhihui Li, Lina Yao, Sen Wang, Salil S. Kanhere, Xue Li, Huaxiang Zhang:
Adaptive Two-Dimensional Embedded Image Clustering. AAAI 2020: 4796-4803 - [c132]Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang:
Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. AAAI 2020: 8269-8276 - [c131]Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen:
One-Shot Learning for Long-Tail Visual Relation Detection. AAAI 2020: 12225-12232 - [c130]Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai:
Shape-Oriented Convolution Neural Network for Point Cloud Analysis. AAAI 2020: 12773-12780 - [c129]Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. CIKM 2020: 715-724 - [c128]Feng Yuan, Lina Yao, Boualem Benatallah:
Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering. CIKM 2020: 1773-1782 - [c127]Yun Li, Zhe Liu, Lina Yao, Zihuai He:
Non-local Self-attentive Autoencoder for Genetic Functionality Prediction. CIKM 2020: 2117-2120 - [c126]Chaoran Huang, Lina Yao:
Active Object Estimation for Human-Robot Collaborative Tasks. ICONIP (2) 2020: 750-761 - [c125]Licheng Zhang, Xianzhi Wang, Lina Yao, Lin Wu, Feng Zheng:
Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space. IJCAI 2020: 906-912 - [c124]Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang:
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. IJCNN 2020: 1-8 - [c123]Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An:
Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. IJCNN 2020: 1-8 - [c122]Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu:
TRec: Sequential Recommender Based On Latent Item Trend Information. IJCNN 2020: 1-8 - [c121]Licheng Zhang, Xianzhi Wang, Lina Yao, Feng Zheng:
Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks. IJCNN 2020: 1-6 - [c120]Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang:
Spectrum-Guided Adversarial Disparity Learning. KDD 2020: 114-124 - [c119]Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang:
Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. KDD 2020: 297-305 - [c118]Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu:
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. KDD 2020: 688-697 - [c117]Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang:
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. NeurIPS 2020 - [c116]Xuesong Wang, Lina Yao, Wei Liu, Can Li, Lei Bai, S. Travis Waller:
Mobility Irregularity Detection with Smart Transit Card Data. PAKDD (1) 2020: 541-552 - [c115]Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yang Xiao:
Prototype Similarity Learning for Activity Recognition. PAKDD (1) 2020: 649-661 - [c114]Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang:
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. SIGIR 2020: 1669-1672 - [i68]Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu:
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities. CoRR abs/2001.07416 (2020) - [i67]Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, Bo Wei:
A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification. CoRR abs/2002.09821 (2020) - [i66]Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Trust in Recommender Systems: A Deep Learning Perspective. CoRR abs/2004.03774 (2020) - [i65]Xiaocong Chen, Lina Yao, Yu Zhang:
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images. CoRR abs/2004.05645 (2020) - [i64]Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang:
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. CoRR abs/2004.08068 (2020) - [i63]Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An:
Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. CoRR abs/2004.08581 (2020) - [i62]Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai:
Shape-Oriented Convolution Neural Network for Point Cloud Analysis. CoRR abs/2004.09411 (2020) - [i61]Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Munazza Zaib, Nguyen H. Tran, Lina Yao, Nguyen Lu Dang Khoa:
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems. CoRR abs/2004.13245 (2020) - [i60]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie:
Agglomerative Neural Networks for Multi-view Clustering. CoRR abs/2005.05556 (2020) - [i59]Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang:
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. CoRR abs/2006.07934 (2020) - [i58]Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang:
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images. CoRR abs/2006.13276 (2020) - [i57]Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie:
NP-PROV: Neural Processes with Position-Relevant-Only Variances. CoRR abs/2007.00767 (2020) - [i56]Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang:
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. CoRR abs/2007.02842 (2020) - [i55]Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu:
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. CoRR abs/2007.03183 (2020) - [i54]May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng:
Recommender Systems for the Internet of Things: A Survey. CoRR abs/2007.06758 (2020) - [i53]Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang:
Spectrum-Guided Adversarial Disparity Learning. CoRR abs/2007.06831 (2020) - [i52]Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim:
Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding. CoRR abs/2007.06842 (2020) - [i51]Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu:
TRec: Sequential Recommender Based On Latent Item Trend Information. CoRR abs/2009.05183 (2020) - [i50]Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. CoRR abs/2009.05777 (2020) - [i49]Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CoRR abs/2011.02248 (2020)
2010 – 2019
- 2019
- [j62]Lina Yao, Lifan Li, Chunhui Lei:
Fault Tolerant Control for Nonlinear Singular Stochastic Distribution Systems Based on Fuzzy Modeling. IEEE Access 7: 121136-121144 (2019) - [j61]Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao:
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. Aust. J. Intell. Inf. Process. Syst. 15(2): 36-43 (2019) - [j60]Nguyen Khoi Tran, Quan Z. Sheng, Muhammad Ali Babar, Lina Yao, Wei Emma Zhang, Schahram Dustdar:
Internet of things search engine. Commun. ACM 62(7): 66-73 (2019) - [j59]Bin Guo, Xing Xie, Lina Yao, Yong Li, Cecilia Mascolo, Xia Hu:
Special issue on recommender system. CCF Trans. Pervasive Comput. Interact. 1(4): 237-239 (2019) - [j58]Shuai Zhang, Lina Yao, Aixin Sun, Yi Tay:
Deep Learning Based Recommender System: A Survey and New Perspectives. ACM Comput. Surv. 52(1): 5:1-5:38 (2019) - [j57]Lina Yao, Lifan Li, Yacun Guan, Hao Wang:
Fault diagnosis and fault-tolerant control for non-Gaussian nonlinear stochastic systems via entropy optimisation. Int. J. Syst. Sci. 50(13): 2552-2564 (2019) - [j56]Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Shuai Zhang:
Recommendations on the Internet of Things: Requirements, Challenges, and Directions. IEEE Internet Comput. 23(3): 46-54 (2019) - [j55]Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Michael Sheng, Yunhao Liu:
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. IEEE Internet Things J. 6(2): 2084-2092 (2019) - [j54]Zhiwen Yu, En Xu, He Du, Bin Guo, Lina Yao:
Inferring User Profile Attributes From Multidimensional Mobile Phone Sensory Data. IEEE Internet Things J. 6(3): 5152-5162 (2019) - [j53]Yan Liu, Bin Guo, Nuo Li, Jing Zhang, Jingmin Chen, Daqing Zhang, Yinxiao Liu, Zhiwen Yu, Sizhe Zhang, Lina Yao:
DeepStore: An Interaction-Aware Wide&Deep Model for Store Site Recommendation With Attentional Spatial Embeddings. IEEE Internet Things J. 6(4): 7319-7333 (2019) - [j52]Guofang Nan, Lina Yao, Yi-Chun (Chad) Ho, Zhiyong Li, Minqiang Li:
An Economic Analysis of Platform Protection in the Presence of Content Substitutability. J. Manag. Inf. Syst. 36(3): 1002-1036 (2019) - [j51]Lichuan Ma, Qingqi Pei, Yong Xiang, Lina Yao, Shui Yu:
A reliable reputation computation framework for online items in E-commerce. J. Netw. Comput. Appl. 134: 13-25 (2019) - [j50]Zhihui Li, Lina Yao, Xiaojun Chang, Kun Zhan, Jiande Sun, Huaxiang Zhang:
Zero-shot event detection via event-adaptive concept relevance mining. Pattern Recognit. 88: 595-603 (2019) - [j49]Dalin Zhang, Lina Yao, Kaixuan Chen, Jessica Monaghan:
A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis. IEEE Signal Process. Lett. 26(5): 715-719 (2019) - [j48]Xiaodong Ning, Lina Yao, Boualem Benatallah, Yihong Zhang, Quan Z. Sheng, Salil S. Kanhere:
Source-Aware Crisis-Relevant Tweet Identification and Key Information Summarization. ACM Trans. Internet Techn. 19(3): 37:1-37:20 (2019) - [j47]Xianzhi Wang, Xiaofei Xu, Quan Z. Sheng, Zhongjie Wang, Lina Yao:
Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection. IEEE Trans. Serv. Comput. 12(2): 247-261 (2019) - [c113]Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang:
Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. AAAI 2019: 3321-3328 - [c112]Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh:
Holographic Factorization Machines for Recommendation. AAAI 2019: 5143-5150 - [c111]Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil S. Kanhere, Huaxiang Zhang:
Zero-Shot Object Detection with Textual Descriptions. AAAI 2019: 8690-8697 - [c110]May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yunajiang Cao:
Reminder Care System: An Activity-Aware Cross-Device Recommendation System. ADMA 2019: 207-220 - [c109]Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao:
Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. ADMA 2019: 288-301 - [c108]Zhihui Li, Wenhe Liu, Xiaojun Chang, Lina Yao, Mahesh Prakash, Huaxiang Zhang:
Domain-Aware Unsupervised Cross-dataset Person Re-identification. ADMA 2019: 406-420 - [c107]Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Wei Liu, Zheng Yang:
Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction. CIKM 2019: 2293-2296 - [c106]Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu:
Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. ICDM 2019: 896-905 - [c105]Meng Wang, Haomin Shen, Sen Wang, Lina Yao, Yinlin Jiang, Guilin Qi, Yang Chen:
Learning to Hash for Efficient Search Over Incomplete Knowledge Graphs. ICDM 2019: 1360-1365 - [c104]Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, Po Li:
Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection. ICDM 2019: 1450-1455 - [c103]Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang:
Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. ICDM 2019: 1498-1503 - [c102]Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong:
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. ICONIP (4) 2019: 287-295 - [c101]Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller:
Passenger Demographic Attributes Prediction for Human-Centered Public Transport. ICONIP (4) 2019: 486-494 - [c100]Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu:
Multi-agent Attentional Activity Recognition. IJCAI 2019: 1344-1350 - [c99]Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng:
STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. IJCAI 2019: 1981-1987 - [c98]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. IJCAI 2019: 3015-3022 - [c97]Feng Yuan, Lina Yao, Boualem Benatallah:
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. IJCAI 2019: 4227-4233 - [c96]Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay:
Quaternion Collaborative Filtering for Recommendation. IJCAI 2019: 4313-4319 - [c95]Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun:
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. IJCAI 2019: 6581-6583 - [c94]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng:
Dual-stream Self-Attentive Random Forest for False Information Detection. IJCNN 2019: 1-8 - [c93]Feng Yuan, Lina Yao, Boualem Benatallah:
Adversarial Collaborative Auto-encoder for Top-N Recommendation. IJCNN 2019: 1-8 - [c92]Xiang Zhang, Lina Yao, Feng Yuan:
Adversarial Variational Embedding for Robust Semi-supervised Learning. KDD 2019: 139-147 - [c91]Shuai Zhang, Yi Tay, Lina Yao, Qi Liu:
Quaternion Knowledge Graph Embeddings. NeurIPS 2019: 2731-2741 - [c90]Lei Bai, Lina Yao, Salil S. Kanhere, Zheng Yang, Jing Chu, Xianzhi Wang:
Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks. PAKDD (2) 2019: 29-42 - [c89]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang:
Similarity-Aware Deep Attentive Model for Clickbait Detection. PAKDD (2) 2019: 56-69 - [c88]Hong Jia, Yuezhong Wu, Jun Liu, Lina Yao, Wen Hu:
Mobile golf swing tracking using deep learning with data fusion: poster abstract. SenSys 2019: 422-423 - [c87]Feng Yuan, Lina Yao, Boualem Benatallah:
Adversarial Collaborative Neural Network for Robust Recommendation. SIGIR 2019: 1065-1068 - [i48]Shuai Zhang, Yi Tay, Lina Yao, Qi Liu:
Quaternion Knowledge Graph Embedding. CoRR abs/1904.10281 (2019) - [i47]Xiang Zhang, Lina Yao, Feng Yuan:
Adversarial Variational Embedding for Robust Semi-supervised Learning. CoRR abs/1905.02361 (2019) - [i46]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. CoRR abs/1905.04042 (2019) - [i45]Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David McAlpine:
A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers. CoRR abs/1905.04149 (2019) - [i44]Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu:
Multi-agent Attentional Activity Recognition. CoRR abs/1905.08948 (2019) - [i43]Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng:
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. CoRR abs/1905.10069 (2019) - [i42]Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun:
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. CoRR abs/1905.10536 (2019) - [i41]Feng Yuan, Lina Yao, Boualem Benatallah:
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. CoRR abs/1905.10760 (2019) - [i40]Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay:
Quaternion Collaborative Filtering for Recommendation. CoRR abs/1906.02594 (2019) - [i39]Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao:
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. CoRR abs/1907.13351 (2019) - [i38]Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong:
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. CoRR abs/1907.13359 (2019) - [i37]Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu:
The Future of Misinformation Detection: New Perspectives and Trends. CoRR abs/1909.03654 (2019) - [i36]