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2020 – today
- 2023
[j113]Wu He, Guandong Xu, Imran Razzak:
Social responses to the COVID-19 pandemic. Behav. Inf. Technol. 42(2): 171-173 (2023)- [j112]Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu:
Deconfounded recommendation via causal intervention. Neurocomputing 529: 128-139 (2023) - [j111]Zhihong Cui
, Xiangguo Sun, Li Pan, Shijun Liu, Guandong Xu:
Event-based incremental recommendation via factors mixed Hawkes process. Inf. Sci. 639: 119007 (2023) - [j110]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) - [j109]Abdul Rehman Javed, Imran Razzak, Guandong Xu:
Federated Learning for Privacy Preservation of Healthcare Data From Smartphone-Based Side-Channel Attacks. IEEE J. Biomed. Health Informatics 27(2): 684-690 (2023) - [j108]Imran Razzak, Muhammad Khuram Khan, Guandong Xu, Fahmi Khalifa:
Guest Editorial Open and Interpretable AI in Computational Pathology. IEEE J. Biomed. Health Informatics 27(4): 1657-1660 (2023) - [j107]Qian Li, Xiangmeng Wang, Zhichao Wang, Guandong Xu:
Be Causal: De-Biasing Social Network Confounding in Recommendation. ACM Trans. Knowl. Discov. Data 17(1): 14:1-14:23 (2023) - [c180]Tri Dung Duong, Qian Li, Guandong Xu:
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows. PAKDD (2) 2023: 133-144 - [c179]David Hason Rudd, Huan Huo, Guandong Xu:
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance. PAKDD (3) 2023: 219-231 - [c178]Li He, Xianzhi Wang, Dingxian Wang, Haoyuan Zou, Hongzhi Yin, Guandong Xu:
Simplifying Graph-based Collaborative Filtering for Recommendation. WSDM 2023: 60-68 - [c177]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 - [c176]Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. WWW 2023: 621-629 - [i53]Tri Dung Duong, Qian Li, Guandong Xu:
Achieving Counterfactual Fairness with Imperfect Structural Causal Model. CoRR abs/2303.14665 (2023) - [i52]Tri Dung Duong, Qian Li, Guandong Xu:
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows. CoRR abs/2303.14668 (2023) - [i51]Jing Long, Tong Chen, Nguyen Quoc Viet Hung, Guandong Xu, Kai Zheng, Hongzhi Yin:
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. CoRR abs/2304.03947 (2023) - [i50]David Hason Rudd, Huan Huo, Guandong Xu:
Causal Analysis of Customer Churn Using Deep Learning. CoRR abs/2304.10604 (2023) - [i49]David Hason Rudd, Huan Huo, Guandong Xu:
Improved Churn Causal Analysis Through Restrained High-Dimensional Feature Space Effects in Financial Institutions. CoRR abs/2304.11503 (2023) - 2022
- [j106]Nhi N. Y. Vo, Quang T. Vu, Nam H. Vu, Tu A. Vu, Bang D. Mach, Guandong Xu:
Domain-specific NLP system to support learning path and curriculum design at tech universities. Comput. Educ. Artif. Intell. 3: 100042 (2022) - [j105]Peipei Wang, Lin Li, Ru Wang, Xinhao Zheng, Jiaxi He, Guandong Xu:
Learning persona-driven personalized sentimental representation for review-based recommendation. Expert Syst. Appl. 203: 117317 (2022) - [j104]Peipei Wang, Lin Li, Qing Xie, Ru Wang, Guandong Xu:
Social dual-effect driven group modeling for neural group recommendation. Neurocomputing 481: 258-269 (2022) - [j103]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic intervention for causal inference via reinforcement learning. Neurocomputing 482: 40-49 (2022) - [j102]Wei Gao, Jian Wu, Guandong Xu:
Detecting Duplicate Questions in Stack Overflow via Source Code Modeling. Int. J. Softw. Eng. Knowl. Eng. 32(2): 227-255 (2022) - [j101]Omar Sharif, Md. Rafiqul Islam, Md Zobaer Hasan, Muhammad Ashad Kabir, Md Emran Hasan, Salman A. AlQahtani, Guandong Xu:
Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19. J. Heal. Informatics Res. 6(1): 72-90 (2022) - [j100]Imran Razzak, Peter W. Eklund, Guandong Xu:
Improving healthcare outcomes using multimedia big data analytics. Neural Comput. Appl. 34(17): 15095-15097 (2022) - [j99]Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu:
Privileged multi-task learning for attribute-aware aesthetic assessment. Pattern Recognit. 132: 108921 (2022) - [j98]Dongjing Wang, Xin Zhang, Zhengzhe Xiang, Dongjin Yu, Guandong Xu, Shuiguang Deng:
Sequential Recommendation Based on Multivariate Hawkes Process Embedding With Attention. IEEE Trans. Cybern. 52(11): 11893-11905 (2022) - [j97]Imran Razzak, Guandong Xu, Muhammad Khurram Khan:
Guest Editorial: Privacy-Preserving Federated Machine Learning Solutions for Enhanced Security of Critical Energy Infrastructures. IEEE Trans. Ind. Informatics 18(5): 3449-3451 (2022) - [j96]Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu:
V-SVR+: Support Vector Regression With Variational Privileged Information. IEEE Trans. Multim. 24: 876-889 (2022) - [j95]Dongjing Wang, Xin Zhang, Yao Wan, Dongjin Yu, Guandong Xu, Shuiguang Deng:
Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation. IEEE Trans. Multim. 24: 4170-4182 (2022) - [j94]Wenhua Wang, Yuqun Zhang, Yulei Sui, Yao Wan, Zhou Zhao, Jian Wu, Philip S. Yu, Guandong Xu:
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention. IEEE Trans. Software Eng. 48(2): 102-119 (2022) - [j93]Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Deep treatment-adaptive network for causal inference. VLDB J. 31(5): 1127-1142 (2022) - [j92]Nhi N. Y. Vo, Guandong Xu, Dat Anh Le:
Causal inference for the impact of economic policy on financial and labour markets amid the COVID-19 pandemic. Web Intell. 20(1): 1-19 (2022) - [j91]Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu:
API-GNN: attribute preserving oriented interactive graph neural network. World Wide Web 25(1): 239-258 (2022) - [j90]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) - [j89]Zhihong Cui, Hongxu Chen, Lizhen Cui, Shijun Liu, Xueyan Liu, Guandong Xu, Hongzhi Yin:
Reinforced KGs reasoning for explainable sequential recommendation. World Wide Web 25(2): 631-654 (2022) - [c175]Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu:
Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs. SCC 2022: 1-9 - [c174]Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu:
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. ADMA (1) 2022: 520-534 - [c173]Bavly Hanna, Guandong Xu, Xianzhi Wang, Jahangir Hossain:
Blockchain-based solutions for Humanitarian supply Chain Management. AMCIS 2022 - [c172]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 - [c171]David Hason Rudd, Huan Huo, Guandong Xu:
Predicting Financial Literacy via Semi-supervised Learning. AI 2022: 304-319 - [c170]Wilson Kurnia Lukmanjaya, Md. Rafiqul Islam, Guandong Xu:
Evidence-Based Process in Research Involving Machine Learning Algorithms. BESC 2022: 1-7 - [c169]Avery Tzeng Chiet Ngiam, Md. Rafiqul Islam, Guandong Xu:
ECTRS: A Personalised Early Career Trajectory Recommender System for Youths. BESC 2022: 1-7 - [c168]Lei Yang, Yao Xie, Md. Rafiqul Islam, Guandong Xu:
Big Data and Artificial Intelligence (AI) to Detect Glaucoma. BESC 2022: 1-6 - [c167]Kangzheng Liu, Feng Zhao, Hongxu Chen, Yicong Li, Guandong Xu, Hai Jin:
DA-Net: Distributed Attention Network for Temporal Knowledge Graph Reasoning. CIKM 2022: 1289-1298 - [c166]Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu:
DialMed: A Dataset for Dialogue-based Medication Recommendation. COLING 2022: 721-733 - [c165]Ruilin Zhao, Feng Zhao, Guandong Xu, Sixiao Zhang, Hai Jin:
Can Language Models Serve as Temporal Knowledge Bases? EMNLP (Findings) 2022: 2024-2037 - [c164]Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu:
Attentional Gated Res2net for Multivariate Time Series Classification. ICASSP 2022: 3308-3312 - [c163]Kangzheng Liu, Feng Zhao, Guandong Xu, Xianzhi Wang, Hai Jin:
Temporal Knowledge Graph Reasoning via Time-Distributed Representation Learning. ICDM 2022: 279-288 - [c162]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 - [c161]Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu:
NaturalCC: An Open-Source Toolkit for Code Intelligence. ICSE-Companion 2022: 149-153 - [c160]Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. ICSE 2022: 2377-2388 - [c159]Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu:
Semantics-Guided Disentangled Learning for Recommendation. PAKDD (1) 2022: 249-261 - [c158]David Hason Rudd, Huan Huo, Guandong Xu:
Leveraged Mel Spectrograms Using Harmonic and Percussive Components in Speech Emotion Recognition. PAKDD (2) 2022: 392-404 - [c157]Yansong Shen, Lin Li, Qing Xie, Xin Li, Guandong Xu:
A Two-Tower Spatial-Temporal Graph Neural Network for Traffic Speed Prediction. PAKDD (1) 2022: 406-418 - [c156]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen:
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. SIGIR 2022: 546-555 - [c155]Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu:
MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. SIGIR 2022: 1369-1378 - [c154]Yao Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Dezhong Yao, Hai Jin, Lichao Sun:
You see what I want you to see: poisoning vulnerabilities in neural code search. ESEC/SIGSOFT FSE 2022: 1233-1245 - [c153]Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin:
Cross-Language Binary-Source Code Matching with Intermediate Representations. SANER 2022: 601-612 - [c152]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 - [c151]Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao:
Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. WSDM 2022: 1337-1346 - [c150]Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu:
Dual Space Graph Contrastive Learning. WWW 2022: 1238-1247 - [c149]Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu:
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. WWW 2022: 1322-1330 - [c148]Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu:
Off-policy Learning over Heterogeneous Information for Recommendation. WWW 2022: 2348-2359 - [e16]Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu:
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13629, Springer 2022, ISBN 978-3-031-20861-4 [contents] - [e15]Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu:
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13630, Springer 2022, ISBN 978-3-031-20864-5 [contents] - [e14]Sankalp Khanna, Jian Cao, Quan Bai, Guandong Xu:
PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Shanghai, China, November 10-13, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13631, Springer 2022, ISBN 978-3-031-20867-6 [contents] - [i48]Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu:
Dual Space Graph Contrastive Learning. CoRR abs/2201.07409 (2022) - [i47]Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin:
Cross-Language Binary-Source Code Matching with Intermediate Representations. CoRR abs/2201.07420 (2022) - [i46]Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu:
Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. CoRR abs/2201.07986 (2022) - [i45]Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu:
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation. CoRR abs/2202.02576 (2022) - [i44]Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. CoRR abs/2202.06840 (2022) - [i43]Hongxu Chen, Sixiao Zhang, Guandong Xu:
Graph Masked Autoencoder. CoRR abs/2202.08391 (2022) - [i42]Zhenfeng He, Yuqiang Han, Zhenqiu Ouyang, Wei Gao, Hongxu Chen, Guandong Xu, Jian Wu:
DialMed: A Dataset for Dialogue-based Medication Recommendation. CoRR abs/2203.07094 (2022) - [i41]Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Nguyen Quoc Viet Hung:
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. CoRR abs/2204.11091 (2022) - [i40]Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. CoRR abs/2207.00148 (2022) - [i39]Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu:
Reinforced Path Reasoning for Counterfactual Explainable Recommendation. CoRR abs/2207.06674 (2022) - [i38]Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu:
Federated Graph Contrastive Learning. CoRR abs/2207.11836 (2022) - [i37]Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu:
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. CoRR abs/2209.02182 (2022) - [i36]Arusarka Bose, Zili Zhou, Guandong Xu:
COV19IR : COVID-19 Domain Literature Information Retrieval. CoRR abs/2211.04013 (2022) - [i35]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-supervised Hypergraph Representation Learning for Sociological Analysis. CoRR abs/2212.11440 (2022) - 2021
- [j88]Dongjing Wang, Dengwei Xu, Dongjin Yu, Guandong Xu:
Time-aware sequence model for next-item recommendation. Appl. Intell. 51(2): 906-920 (2021) - [j87]Pan Gu, Yuqiang Han, Wei Gao, Guandong Xu, Jian Wu:
Enhancing session-based social recommendation through item graph embedding and contextual friendship modeling. Neurocomputing 419: 190-202 (2021) - [j86]Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging multi-level dependency of relational sequences for social spammer detection. Neurocomputing 428: 130-141 (2021) - [j85]Nhi N. Y. Vo, Shaowu Liu, Xitong Li, Guandong Xu:
Leveraging unstructured call log data for customer churn prediction. Knowl. Based Syst. 212: 106586 (2021) - [j84]Min Gu, Yanhui Gu, Weilan Luo, Guandong Xu, Zhenglu Yang, Junsheng Zhou, Weiguang Qu:
From text to graph: a general transition-based AMR parsing using neural network. Neural Comput. Appl. 33(11): 6009-6025 (2021) - [j83]Zongxi Li, Haoran Xie, Guandong Xu, Qing Li, Mingming Leng, Chi Zhou:
Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information. Pattern Recognit. 113: 107824 (2021) - [j82]Peipei Wang, Lin Li, Ru Wang, Guandong Xu, Jianwei Zhang:
Socially-driven multi-interaction attentive group representation learning for group recommendation. Pattern Recognit. Lett. 145: 74-80 (2021) - [j81]Jun Jason Zhang, Fei-Yue Wang, Yong Yuan, Guandong Xu, Huan Liu, Wei Gao, Shoaib Jameel, Imran Razzak, Peter W. Eklund, Sheraz Ahmed, Rui Qin, Juanjuan Li, Xiao Wang, De-Nian Yang, Damla Turgut, Abderrahim Benslimane, Neeli Prasad, Kwang-Cheng Chen:
Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond. IEEE Trans. Comput. Soc. Syst. 8(4): 928-929 (2021) - [j80]Jianlong Zhou, Hamad Zogan, Shuiqiao Yang, Shoaib Jameel, Guandong Xu, Fang Chen:
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia. IEEE Trans. Comput. Soc. Syst. 8(4): 982-991 (2021) - [j79]Dongjing Wang, Xin Zhang, Dongjin Yu, Guandong Xu, Shuiguang Deng:
CAME: Content- and Context-Aware Music Embedding for Recommendation. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1375-1388 (2021) - [j78]Wei Hua, Yulei Sui, Yao Wan, Guangzhong Liu, Guandong Xu:
FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks. IEEE Trans. Reliab. 70(1): 304-318 (2021) - [j77]Zongda Wu, Guiling Li, Shigen Shen, Xinze Lian, Enhong Chen, Guandong Xu:
Constructing dummy query sequences to protect location privacy and query privacy in location-based services. World Wide Web 24(1): 25-49 (2021) - [j76]Xiaoxue Li, Yanan Cao, Qian Li, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu:
RLINK: Deep reinforcement learning for user identity linkage. World Wide Web 24(1): 85-103 (2021) - [j75]Yuqiang Han, Pan Gu, Wei Gao, Guandong Xu, Jian Wu:
Aspect-level sentiment capsule network for micro-video click-through rate prediction. World Wide Web 24(4): 1045-1064 (2021) - [j74]Yijie Zhou, Xuewen Shen, Suiyu Zhang, Dingguo Yu, Guandong Xu:
DFIAM: deep factorization integrated attention mechanism for smart TV recommendation. World Wide Web 24(5): 1465-1481 (2021) - [j73]Dongjing Wang, Xingliang Wang, Zhengzhe Xiang, Dongjin Yu, Shuiguang Deng, Guandong Xu:
Attentive sequential model based on graph neural network for next poi recommendation. World Wide Web 24(6): 2161-2184 (2021) - [c147]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 - [c146]Li He, Hongxu Chen, Dingxian Wang, Shoaib Jameel, Philip S. Yu, Guandong Xu:
Click-Through Rate Prediction with Multi-Modal Hypergraphs. CIKM 2021: 690-699 - [c145]Yicong Li, Hongxu Chen, Xiangguo Sun, Zhenchao Sun, Lin Li, Lizhen Cui, Philip S. Yu, Guandong Xu:
Hyperbolic Hypergraphs for Sequential Recommendation. CIKM 2021: 988-997 - [c144]Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu:
Causal-Aware Generative Imputation for Automated Underwriting. CIKM 2021: 3916-3924 - [c143]Li He, Dingxian Wang, Hanzhang Wang, Hongxu Chen, Guandong Xu:
TagPick: A System for Bridging Micro-Video Hashtags and E-commerce Categories. CIKM 2021: 4721-4724 - [c142]Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu:
Hilbert Sinkhorn Divergence for Optimal Transport. CVPR 2021: 3835-3844 - [c141]Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu:
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. ICDM 2021: 787-796 - [c140]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Effect Estimation. IJCNN 2021: 1-8 - [c139]Md. Rafiqul Islam, Imran Razzak, Xianzhi Wang, Peter Tilocca, Guandong Xu:
UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System. IJCNN 2021: 1-8 - [c138]Joshua Zerafa, Md. Rafiqul Islam, Muhammad Ashad Kabir, Guandong Xu:
ExTraVis: Exploration of Traffic Incidents Using a Visual Interactive System. IV 2021: 48-53 - [c137]Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, Guandong Xu:
Where are we in embedding spaces? KDD 2021: 2223-2231 - [c136]Yu Chu, Lin Li, Qing Xie, Guandong Xu:
C2-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction. PAKDD (1) 2021: 779-790 - [c135]Hamad Zogan, Imran Razzak, Shoaib Jameel, Guandong Xu:
DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media. SIGIR 2021: 133-142 - [c134]Yao Wu, Jian Cao, Guandong Xu, Yudong Tan:
TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers. SIGIR 2021: 1013-1022 - [c133]