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Xianzhi Wang 0001
Person information
- affiliation: University of Technology Sydney, Australia
Other persons with the same name
- Xianzhi Wang 0002 — Northwestern Polytechnical University, Xi'an, Shaanxi, China
- Xianzhi Wang 0003 — State Grid Hebei Electric Power Research Institute, Shijiazhuang, China
- Xianzhi Wang 0004 — Nagoya Institute of Technology, Nagoya, Japan
- Xianzhi Wang 0005 — Yunnan University, School of Agriculture, Kunming, China
- Xianzhi Wang 0006 — Qilu Normal University, School of Geography and Tourism, Jinan, China
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2020 – today
- 2024
- [j62]Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu:
Natural language interactions enhanced by data visualization to explore insurance claims and manage risk. Ann. Oper. Res. 339(3): 1569-1587 (2024) - [j61]Li He, Kaize Shi, Dingxian Wang, Xianzhi Wang, Guandong Xu:
A topic-controllable keywords-to-text generator with knowledge base network. CAAI Trans. Intell. Technol. 9(3): 585-594 (2024) - [j60]Hadeel Alhosaini, Sultan Alharbi, Xianzhi Wang, Guandong Xu:
API Recommendation For Mashup Creation: A Comprehensive Survey. Comput. J. 67(5): 1920-1940 (2024) - [j59]Xiu Susie Fang, Xianzhi Wang, Quan Z. Sheng, Lina Yao:
Generalizing truth discovery by incorporating multi-truth features. Computing 106(5): 1557-1583 (2024) - [j58]Yakun Chen, Ruotong Hu, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu:
Exploring explicit and implicit graph learning for multivariate time series imputation. Eng. Appl. Artif. Intell. 127(Part A): 107217 (2024) - [j57]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu:
Dyformer: A dynamic transformer-based architecture for multivariate time series classification. Inf. Sci. 656: 119881 (2024) - [j56]Md. Rafiqul Islam, Shanjita Akter, Linta Islam, Imran Razzak, Xianzhi Wang, Guandong Xu:
Strategies for evaluating visual analytics systems: A systematic review and new perspectives. Inf. Vis. 23(1): 84-101 (2024) - [j55]Zihao Li, Yakun Chen, Xianzhi Wang, Lina Yao, Guandong Xu:
Multi-view GCN for loan default risk prediction. Neural Comput. Appl. 36(20): 12149-12162 (2024) - [j54]Ruotong Hu, Xianzhi Wang, Xiaojun Chang, Yongle Zhang, Yeqi Hu, Xinyuan Liu, Shusong Yu:
CStrCRL: Cross-View Contrastive Learning Through Gated GCN With Strong Augmentations for Skeleton Recognition. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6674-6685 (2024) - [j53]Lina Yao, Julian J. McAuley, Xianzhi Wang, Dietmar Jannach:
Special Issue on Responsible Recommender Systems Part 1. ACM Trans. Intell. Syst. Technol. 15(4): 72:1-72:3 (2024) - [j52]Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao:
Attention-Aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. IEEE Trans. Knowl. Data Eng. 36(11): 5633-5646 (2024) - [j51]Mingyi Liu, Zhiying Tu, Tonghua Su, Xianzhi Wang, Xiaofei Xu, Zhongjie Wang:
BehaviorNet: A Fine-grained Behavior-aware Network for Dynamic Link Prediction. ACM Trans. Web 18(2): 25:1-25:26 (2024) - [c93]Md. Kowsar Hossain Sakib, Md. Rafiqul Islam, Shanjita Akter Prome, Thanh Thao Lam Nguyen, David Asirvatham, Neethiahnanthan Ari Ragavan, Xianzhi Wang, Cesar Sanín:
MVis4LD: Multimodal Visual Interactive System for Lie Detection. ACIIDS (2) 2024: 28-43 - [c92]Ruilin Zhao, Feng Zhao, Long Wang, Xianzhi Wang, Guandong Xu:
KG-CoT: Chain-of-Thought Prompting of Large Language Models over Knowledge Graphs for Knowledge-Aware Question Answering. IJCAI 2024: 6642-6650 - [i44]Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian J. McAuley, Guandong Xu, Shui Yu:
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation. CoRR abs/2402.11558 (2024) - [i43]Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Quan Z. Sheng:
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. CoRR abs/2408.14851 (2024) - 2023
- [j50]Abdul Matin, Md. Rafiqul Islam, Xianzhi Wang, Huan Huo, Guandong Xu:
AIoT for sustainable manufacturing: Overview, challenges, and opportunities. Internet Things 24: 100901 (2023) - [j49]Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang:
Deep reinforcement learning in recommender systems: A survey and new perspectives. Knowl. Based Syst. 264: 110335 (2023) - [j48]Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Adversarial dual autoencoders for trust-aware recommendation. Neural Comput. Appl. 35(18): 13065-13075 (2023) - [j47]Afshar Shamsi Jokandan, Hamzeh Asgharnezhad, Ziba Bouchani, Khadijeh Jahanian, Morteza Saberi, Xianzhi Wang, Imran Razzak, Roohallah Alizadehsani, Arash Mohammadi, Hamid Alinejad-Rokny:
A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis. Neural Comput. Appl. 35(30): 22179-22188 (2023) - [j46]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu:
Attentional Gated Res2Net for Multivariate Time Series Classification. Neural Process. Lett. 55(2): 1371-1395 (2023) - [j45]Li He, Guandong Xu, Shoaib Jameel, Xianzhi Wang, Hongxu Chen:
Graph-Aware Deep Fusion Networks for Online Spam Review Detection. IEEE Trans. Comput. Soc. Syst. 10(5): 2557-2565 (2023) - [j44]Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Trans. Knowl. Data Eng. 35(10): 9878-9889 (2023) - [j43]Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang:
Uncertainty Estimation With Neural Processes for Meta-Continual Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6887-6897 (2023) - [j42]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng:
Gradient Boosted Neural Decision Forest. IEEE Trans. Serv. Comput. 16(1): 330-342 (2023) - [j41]Xiao Wang, Hanchuan Xu, Xianzhi Wang, Xiaofei Xu, Zhongjie Wang:
A Graph Neural Network and Pointer Network-Based Approach for QoS-Aware Service Composition. IEEE Trans. Serv. Comput. 16(3): 1589-1603 (2023) - [j40]Guodong Long, Ming Xie, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang:
Multi-center federated learning: clients clustering for better personalization. World Wide Web (WWW) 26(1): 481-500 (2023) - [c91]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu:
From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. ADMA (1) 2023: 19-33 - [c90]Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang:
Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification. ADMA (1) 2023: 34-47 - [c89]Yakun Chen, Kaize Shi, Xianzhi Wang, Guandong Xu:
MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation. ADMA (5) 2023: 180-194 - [c88]Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin:
RETIA: Relation-Entity Twin-Interact Aggregation for Temporal Knowledge Graph Extrapolation. ICDE 2023: 1761-1774 - [c87]Shiqing Wu, Guandong Xu, Xianzhi Wang:
SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. ICDM 2023: 1421-1426 - [c86]Ruotong Hu, Xianzhi Wang, Xiaojun Chang, Yeqi Hu, Xiaowei Xin, Xiangqian Ding, Baoqi Guo:
RASNet: A Reinforcement Assistant Network for Frame Selection in Video-based Posture Recognition. ICME 2023: 2141-2146 - [c85]Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. SIGIR 2023: 99-109 - [c84]Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu:
Simplifying Graph-based Collaborative Filtering for Recommendation. WSDM 2023: 60-68 - [c83]Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu:
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. WSDM 2023: 553-561 - [c82]Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. WWW 2023: 1252-1263 - [i42]Yakun Chen, Xianzhi Wang, Guandong Xu:
GATGPT: A Pre-trained Large Language Model with Graph Attention Network for Spatiotemporal Imputation. CoRR abs/2311.14332 (2023) - [i41]Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao:
Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. CoRR abs/2312.15881 (2023) - 2022
- [j39]May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng:
A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions. Comput. J. 65(8): 2098-2132 (2022) - [j38]Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng:
Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. Frontiers Big Data 5 (2022) - [j37]Li He, Xianzhi Wang, Hongxu Chen, Guandong Xu:
Online Spam Review Detection: A Survey of Literature. Hum. Centric Intell. Syst. 2(1-2): 14-30 (2022) - [j36]Chaoran Huang, Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Zhongjie Wang, Xiaofei Xu:
Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence. IEEE Internet Comput. 26(5): 68-75 (2022) - [j35]Zhe Liu, Xianzhi Wang, Yun Li, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim:
Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding. Knowl. Based Syst. 235: 107665 (2022) - [j34]Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
A survey for trust-aware recommender systems: A deep learning perspective. Knowl. Based Syst. 249: 108954 (2022) - [j33]Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang:
Generative adversarial U-Net for domain-free few-shot medical diagnosis. Pattern Recognit. Lett. 157: 112-118 (2022) - [j32]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang:
An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5175-5186 (2022) - [j31]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie:
Agglomerative Neural Networks for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2842-2852 (2022) - [j30]Hamad Zogan, Imran Razzak, Xianzhi Wang, Shoaib Jameel, Guandong Xu:
Explainable depression detection with multi-aspect features using a hybrid deep learning model on social media. World Wide Web 25(1): 281-304 (2022) - [c81]Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu:
Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs. SCC 2022: 1-9 - [c80]Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Zhong Yang, Farookh Khadeer Hussain, Ee-Peng Lim:
Harnessing Confidence for Report Aggregation in Crowdsourcing Environments. SCC 2022: 305-314 - [c79]Bavly Hanna, Guandong Xu, Xianzhi Wang, Md. Jahangir Hossain:
Blockchain-based solutions for Humanitarian supply Chain Management. AMCIS 2022 - [c78]Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu:
An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. AI 2022: 3-14 - [c77]May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere:
Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment. AI 2022: 393-404 - [c76]Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut:
Multi-agent Transformer Networks for Multimodal Human Activity Recognition. CIKM 2022: 1135-1145 - [c75]Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut:
Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. CIKM 2022: 1339-1349 - [c74]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu:
Attentional Gated Res2net for Multivariate Time Series Classification. ICASSP 2022: 3308-3312 - [c73]Zhong Yang, Bolong Zheng, Xianzhi Wang, Guohui Li, Xiaofang Zhou:
minIL: A Simple and Small Index for String Similarity Search with Edit Distance. ICDE 2022: 565-577 - [c72]Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin:
Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. ICDM 2022: 279-288 - [c71]Yakun Chen, Zihao Li, Chao Yang, Xianzhi Wang, Guodong Long, Guandong Xu:
Adaptive Graph Recurrent Network for Multivariate Time Series Imputation. ICONIP (5) 2022: 64-73 - [c70]Xiu Susie Fang, Quan Z. Sheng, Jian Yang, Guohao Sun, Xianzhi Wang, Yihong Zhang:
Resolving Conflicts among Unbalanced Multi-Source Data When Multi-Value Objects Exist. INFOCOM Workshops 2022: 1-2 - [c69]Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang:
Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. SIGIR 2022: 1316-1325 - [c68]Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu:
Hierarchical Task-aware Multi-Head Attention Network. SIGIR 2022: 1933-1937 - [c67]Le Pan, Lina Yao, Wenjie Zhang, Xianzhi Wang:
Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning. WISE 2022: 386-394 - [c66]Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim:
Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. WISE 2022: 616-629 - 2021
- [j29]Lei Bai, Lina Yao, Xianzhi Wang, Can Li, Xiang Zhang:
Deep spatial-temporal sequence modeling for multi-step passenger demand prediction. Future Gener. Comput. Syst. 121: 25-34 (2021) - [j28]May S. Altulyan, Lina Yao, Chaoran Huang, Xianzhi Wang, Salil S. Kanhere:
Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment. Future Internet 13(12): 305 (2021) - [j27]Lina Yao, Xianzhi Wang, Quan Z. Sheng, Boualem Benatallah, Chaoran Huang:
Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations. IEEE Trans. Serv. Comput. 14(2): 502-515 (2021) - [c65]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long:
Task Aligned Generative Meta-learning for Zero-shot Learning. AAAI 2021: 8723-8731 - [c64]May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere:
Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment. ADC 2021: 37-49 - [c63]Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang:
Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. ADC 2021: 50-61 - [c62]Md. Rafiqul Islam, Jiaming Zhang, Md. Hamjajul Ashmafee, Imran Razzak, Jianlong Zhou, Xianzhi Wang, Guandong Xu:
ExVis: Explainable Visual Decision Support System for Risk Management. BESC 2021: 1-5 - [c61]Guangjun Li, Xianzhi Wang, Minxi Li:
A Review of Recent Trends and Industry Prospects for Artificial Intelligence Technologies. BESC 2021: 1-7 - [c60]Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM 2021: 201-210 - [c59]Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu:
MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. ICDM 2021: 101-110 - [c58]Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang:
Global Convolutional Neural Processes. ICDM 2021: 699-708 - [c57]Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu:
UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. IJCNN 2021: 1-8 - [c56]Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie, Boualem Benatallah:
NP-PROV: Neural Processes with Position-Relevant-Only Variances. WISE (1) 2021: 129-142 - [i40]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long:
Task Aligned Generative Meta-learning for Zero-shot Learning. CoRR abs/2103.02185 (2021) - [i39]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang:
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. CoRR abs/2104.10857 (2021) - [i38]Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR abs/2105.00822 (2021) - [i37]Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-young Paik, Sen Wang:
Global Convolutional Neural Processes. CoRR abs/2109.00691 (2021) - [i36]Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang:
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. CoRR abs/2109.03540 (2021) - [i35]Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian J. McAuley:
Locality-Sensitive Experience Replay for Online Recommendation. CoRR abs/2110.10850 (2021) - [i34]Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang:
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning. CoRR abs/2111.02139 (2021) - [i33]Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng:
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. CoRR abs/2112.00973 (2021) - 2020
- [j26]Yang Xiao, Qingqi Pei, Lina Yao, Xianzhi Wang:
RecRisk: An enhanced recommendation model with multi-facet risk control. Expert Syst. Appl. 158: 113561 (2020) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong, Shuai Zhang:
Rating prediction via generative convolutional neural networks based regression. Pattern Recognit. Lett. 132: 12-20 (2020) - [j19]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) - [j18]Md. Rafiqul Islam, Shaowu Liu, Xianzhi Wang, Guandong Xu:
Deep learning for misinformation detection on online social networks: a survey and new perspectives. Soc. Netw. Anal. Min. 10(1): 82 (2020) - [j17]Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Anne H. H. Ngu, Jian Yang:
From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. ACM Trans. Intell. Syst. Technol. 11(6): 74:1-74:24 (2020) - [j16]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) - [c55]Md. Rafiqul Islam, Shaowu Liu, Imran Razzak, Muhammad Ashad Kabir, Xianzhi Wang, Peter Tilocca, Guandong Xu:
MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry. BESC 2020: 1-4 - [c54]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 - [c53]Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang:
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. IJCNN 2020: 1-8 - [c52]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 - [c51]Licheng Zhang, Xianzhi Wang, Lina Yao, Feng Zheng:
Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks. IJCNN 2020: 1-6 - [c50]Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang:
Spectrum-Guided Adversarial Disparity Learning. KDD 2020: 114-124 - [c49]Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang:
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. NeurIPS 2020 - [c48]Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yang Xiao:
Prototype Similarity Learning for Activity Recognition. PAKDD (1) 2020: 649-661 - [c47]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 - [i32]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) - [i31]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) - [i30]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) - [i29]Ming Xie, Guodong Long, Tao Shen, Tianyi Zhou, Xianzhi Wang, Jing Jiang:
Multi-Center Federated Learning. CoRR abs/2005.01026 (2020) - [i28]Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie:
Agglomerative Neural Networks for Multi-view Clustering. CoRR abs/2005.05556 (2020) - [i27]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) <