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ORCIDHaoran Xie 0001
Person information
- affiliation: Lingnan University, Department of Computing and Decision Sciences, Hong Kong
- affiliation (former): Education University of Hong Kong, Department of Mathematics and Information Technology, Hong Kong
- affiliation (former): Caritas Institute of Higher Education, School of Computing & Information Sciences, Hong Kong
- affiliation (former): Hong Kong Baptist University, Department of Computer Science, Kowloon, Hong Kong
- affiliation (former, PhD): City University of Hong Kong, Department of Computer Science, Hong Kong
Other persons with the same name
- Haoran Xie 0002
![[0000-0002-6926-3082]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6926-3082")
— Japan Advanced Institute of Science and Technology, Ishikawa, Japan (and 1 more) - Haoran Xie 0003 — Shanghai University, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, China
- Haoran Xie 0004 — Tsinghua University, Department of Electronic Engineering, BNRist, Beijing, China
- Haoran Xie 0005 — Nanjing University of Science and Technology, School of Mechanical Engineering, China
- Haoran Xie 0006 — Guilin University of Electronic Technology, Guangxi Key Laboratory of Cryptography and Information Security, China
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2020 – today
- 2024
[j178]Xieling Chen, Haoran Xie, Xiaohui Tao, Fu Lee Wang, Mingming Leng, Baiying Lei:
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics. Artif. Intell. Rev. 57(4): 91 (2024)- [j177]Jiaxing Yan, Hai Liu, Zhiqi Lei, Yanghui Rao, Guan Liu, Haoran Xie, Xiaohui Tao, Fu Lee Wang:
Two-dimensional data partitioning for non-negative matrix tri-factorization. Big Data Res. 37: 100473 (2024) - [j176]Jionghao Lin, Mladen Rakovic, Yuheng Li, Haoran Xie, David Lang, Dragan Gasevic, Guanliang Chen:
On the role of politeness in online human-human tutoring. Br. J. Educ. Technol. 55(1): 156-180 (2024) - [j175]Gary Cheng, Di Zou, Haoran Xie, Fu Lee Wang:
Exploring differences in self-regulated learning strategy use between high- and low-performing students in introductory programming: An analysis of eye-tracking and retrospective think-aloud data from program comprehension. Comput. Educ. 208: 104948 (2024) - [j174]Xieling Chen, Di Zou, Gary Cheng, Haoran Xie:
Deep neural networks for the automatic understanding of the semantic content of online course reviews. Educ. Inf. Technol. 29(4): 3953-3991 (2024) - [j173]Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Juan D. Velásquez:
A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom. Inf. Fusion 102: 102040 (2024) - [j172]Lingling Xu, Haoran Xie, Fu Lee Wang, Xiaohui Tao, Weiming Wang, Qing Li:
Contrastive sentence representation learning with adaptive false negative cancellation. Inf. Fusion 102: 102065 (2024) - [j171]Jiawei Miao, Haicheng Tao, Haoran Xie, Jianshan Sun, Jie Cao:
Reconstruction-based anomaly detection for multivariate time series using contrastive generative adversarial networks. Inf. Process. Manag. 61(1): 103569 (2024) - [j170]Pengbo Mao, Hegang Chen, Yanghui Rao, Haoran Xie, Fu Lee Wang:
Contrastive learning for hierarchical topic modeling. Nat. Lang. Process. J. 6: 100058 (2024) - [j169]Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Jianming Yong, Yuefeng Li:
Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2908-2918 (2024) - [j168]Yihua Fan, Yongzhen Wang, Dong Liang, Yiping Chen, Haoran Xie, Fu Lee Wang, Jonathan Li, Mingqiang Wei:
Low-FaceNet: Face Recognition-Driven Low-Light Image Enhancement. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j167]Yongzhen Wang, Xuefeng Yan, Fu Lee Wang, Haoran Xie, Wenhan Yang, Xiaoping Zhang, Jing Qin, Mingqiang Wei:
UCL-Dehaze: Toward Real-World Image Dehazing via Unsupervised Contrastive Learning. IEEE Trans. Image Process. 33: 1361-1374 (2024) - [j166]Simi Job, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Jianming Yong, Qing Li:
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning. ACM Trans. Intell. Syst. Technol. 15(2): 36:1-36:22 (2024) - [j165]Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li:
FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36(10): 5153-5167 (2024) - [j164]Zigui Jiang, Weilin Zheng, Bo Liu, Hong-Ning Dai, Haoran Xie, Xiapu Luo, Zibin Zheng, Qing Li:
Unravelling Token Ecosystem of EOSIO Blockchain. IEEE Trans. Knowl. Data Eng. 36(10): 5423-5439 (2024) - [j163]Fan Su, Di Zou, Haoran Xie:
Integrating Different Group Patterns into Collaborative Argumentative Writing in the Shimo Platform. Technol. Knowl. Learn. 29(1): 309-330 (2024) - [j162]Baian Chen, Zhilei Chen, Xiaowei Hu, Jun Xu, Haoran Xie, Jing Qin, Mingqiang Wei:
Dynamic Message Propagation Network for RGB-D and Video Salient Object Detection. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 18:1-18:21 (2024) - [j161]Zhe Zhu, Liangliang Nan, Haoran Xie, Honghua Chen, Jun Wang, Mingqiang Wei, Jing Qin:
CSDN: Cross-Modal Shape-Transfer Dual-Refinement Network for Point Cloud Completion. IEEE Trans. Vis. Comput. Graph. 30(7): 3545-3563 (2024) - [j160]Lipeng Gu, Xuefeng Yan, Peng Cui, Lina Gong, Haoran Xie, Fu Lee Wang, Jing Qin, Mingqiang Wei:
PointSee: Image Enhances Point Cloud. IEEE Trans. Vis. Comput. Graph. 30(9): 6291-6308 (2024) - [j159]Chen Chen, Yisen Wang, Honghua Chen, Xuefeng Yan, Dayong Ren, Yanwen Guo, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
GeoSegNet: point cloud semantic segmentation via geometric encoder-decoder modeling. Vis. Comput. 40(8): 5107-5121 (2024) - [j158]Dingkun Zhu, Weiming Wang, Xue Xue, Haoran Xie, Gary Cheng, Fu Lee Wang:
Structure-preserving image smoothing via contrastive learning. Vis. Comput. 40(8): 5139-5153 (2024) - [c105]Sen Yang, Zusheng Tan, Jing-Yu Ji, Haoran Xie, Man Leung Wong, Sam Kwong:
Tri-Objective Differential Evolution with Gradient Information Reused for Constrained Optimization. CEC 2024: 1-8 - [c104]Lianyu Pang, Jian Yin, Haoran Xie, Qiping Wang, Qing Li, Xudong Mao:
Cross Initialization for Face Personalization of Text-to-Image Models. CVPR 2024: 8393-8403 - [c103]Xieling Chen, Zongxi Li, Di Zou, Fu Lee Wang, Haoran Xie, Leung Pun Wong:
Leveraging Deep Learning for Classifying Learner-Generated Course Evaluation Texts. ICBL 2024: 311-321 - [c102]Zihan Hu, Ruoyao Ding, Haoran Xie, Zhenguo Yang:
A Multimodal Contrastive Network with Unbiased Distillation for Knowledge-based VQA. IJCNN 2024: 1-8 - [i54]Simi Job, Xiaohui Tao, Taotao Cai, Lin Li, Haoran Xie, Jianming Yong:
Towards Causal Classification: A Comprehensive Study on Graph Neural Networks. CoRR abs/2401.15444 (2024) - [i53]Xianming Li, Zongxi Li, Jing Li, Haoran Xie, Qing Li:
2D Matryoshka Sentence Embeddings. CoRR abs/2402.14776 (2024) - [i52]Yihua Fan, Yongzhen Wang, Mingqiang Wei, Fu Lee Wang, Haoran Xie:
FriendNet: Detection-Friendly Dehazing Network. CoRR abs/2403.04443 (2024) - [i51]Matthew R. Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Haoran Xie, Xujuan Zhou, Yuefeng Li, U. Rajendra Acharya:
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks. CoRR abs/2404.16913 (2024) - [i50]Matthew R. Squires, Xiaohui Tao, Soman Elangovan, U. Rajendra Acharya, Raj Gururajan, Haoran Xie, Xujuan Zhou:
Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing. CoRR abs/2405.05795 (2024) - [i49]Wuzhou Quan, Wei Zhao, Weiming Wang, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
Lost in UNet: Improving Infrared Small Target Detection by Underappreciated Local Features. CoRR abs/2406.13445 (2024) - [i48]Wenna Lai, Haoran Xie, Guandong Xu, Qing Li:
RVISA: Reasoning and Verification for Implicit Sentiment Analysis. CoRR abs/2407.02340 (2024) - [i47]Yuyin Lu, Hegang Chen, Pengbo Mao, Yanghui Rao, Haoran Xie, Fu Lee Wang, Qing Li:
Self-supervised Topic Taxonomy Discovery in the Box Embedding Space. CoRR abs/2408.15050 (2024) - 2023
- [j157]Xiaohui Tao, Aaron Shannon-Honson, Patrick J. Delaney, Christopher Dann, Haoran Xie, Yan Li, Shirley O'Neill:
Towards an understanding of the engagement and emotional behaviour of MOOC students using sentiment and semantic features. Comput. Educ. Artif. Intell. 4: 100116 (2023) - [j156]Xieling Chen, Di Zou, Haoran Xie, Guanliang Chen, Jionghao Lin, Gary Cheng:
Exploring contributors, collaborations, and research topics in educational technology: A joint analysis of mainstream conferences. Educ. Inf. Technol. 28(2): 1323-1358 (2023) - [j155]Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Morris S. Y. Jong:
Blockchain in smart education: Contributors, collaborations, applications and research topics. Educ. Inf. Technol. 28(4): 4597-4627 (2023) - [j154]Xieling Chen, Di Zou, Gary Cheng, Haoran Xie, Morris S. Y. Jong:
Author Correction: Blockchain in smart education: Contributors, collaborations, applications and research topics. Educ. Inf. Technol. 28(7): 9267 (2023) - [j153]Jingjing Wang, Haoran Xie, Fu Lee Wang, Lap-Kei Lee:
A transformer-convolution model for enhanced session-based recommendation. Neurocomputing 531: 21-33 (2023) - [j152]Xieling Chen, Haoran Xie, Zongxi Li, Gary Cheng, Mingming Leng, Fu Lee Wang:
Information fusion and artificial intelligence for smart healthcare: a bibliometric study. Inf. Process. Manag. 60(1): 103113 (2023) - [j151]Zongxi Li, Xianming Li, Haoran Xie, Fu Lee Wang, Mingming Leng, Qing Li, Xiaohui Tao:
A novel dropout mechanism with label extension schema toward text emotion classification. Inf. Process. Manag. 60(2): 103173 (2023) - [j150]Jingjing Wang, Haoran Xie, Fu Lee Wang, Lap-Kei Lee, Mingqiang Wei:
Jointly modeling intra- and inter-session dependencies with graph neural networks for session-based recommendations. Inf. Process. Manag. 60(2): 103209 (2023) - [j149]Qiping Wang, Tingxuan Su, Raymond Yiu-Keung Lau, Haoran Xie:
DeepEmotionNet: Emotion mining for corporate performance analysis and prediction. Inf. Process. Manag. 60(3): 103151 (2023) - [j148]Di Zou, Haoran Xie, Fu Lee Wang:
Effects of technology enhanced peer, teacher and self-feedback on students' collaborative writing, critical thinking tendency and engagement in learning. J. Comput. High. Educ. 35(1): 166-185 (2023) - [j147]Qiping Wang, Raymond Yiu-Keung Lau, Yain-Whar Si, Haoran Xie, Xiaohui Tao:
Blockchain-Enhanced Smart Contract for Cost-Effective Insurance Claims Processing. J. Glob. Inf. Manag. 31(7): 1-21 (2023) - [j146]Aolin Che, Jinghua Yang, Cai Guo, Hong-Ning Dai, Haoran Xie, Ping Li:
AEGAN: Generating imperceptible face synthesis via autoencoder-based generative adversarial network. Comput. Animat. Virtual Worlds 34(3-4) (2023) - [j145]Xieling Chen, Haoran Xie, Zongxi Li, Dian Zhang, Gary Cheng, Fu Lee Wang, Hong-Ning Dai, Qing Li:
Leveraging deep learning for automatic literature screening in intelligent bibliometrics. Int. J. Mach. Learn. Cybern. 14(4): 1483-1525 (2023) - [j144]Fu Lee Wang, Zhengwei Zhao, Gary Cheng, Yanghui Rao, Haoran Xie:
Weighted cluster-level social emotion classification across domains. Int. J. Mach. Learn. Cybern. 14(7): 2385-2394 (2023) - [j143]Jing-jing Wang, Haoran Xie, Fu Lee Wang, Lap-Kei Lee:
Improving text classification via a soft dynamical label strategy. Int. J. Mach. Learn. Cybern. 14(7): 2395-2405 (2023) - [j142]Thanveer Shaik, Xiaohui Tao, Christopher Dann, Haoran Xie, Yan Li, Linda Galligan:
Sentiment analysis and opinion mining on educational data: A survey. Nat. Lang. Process. J. 2: 100003 (2023) - [j141]Zhongyu Zhuang, Ziran Liang, Yanghui Rao, Haoran Xie, Fu Lee Wang:
Out-of-vocabulary word embedding learning based on reading comprehension mechanism. Nat. Lang. Process. J. 5: 100038 (2023) - [j140]Haoran Zhou, Honghua Chen, Yingkui Zhang, Mingqiang Wei, Haoran Xie, Jun Wang, Tong Lu, Jing Qin, Xiao-Ping Zhang:
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 946-963 (2023) - [j139]Yicong Liang, Di Zou, Haoran Xie, Fu Lee Wang:
Exploring the potential of using ChatGPT in physics education. Smart Learn. Environ. 10(1): 52 (2023) - [j138]Xinhong Chen, Qing Li, Zongxi Li, Haoran Xie, Fu Lee Wang, Jianping Wang:
A Reinforcement Learning Based Two-Stage Model for Emotion Cause Pair Extraction. IEEE Trans. Affect. Comput. 14(3): 1779-1790 (2023) - [j137]Bishenghui Tao, Hong-Ning Dai, Haoran Xie, Fu Lee Wang:
Structural Identity Representation Learning for Blockchain-Enabled Metaverse Based on Complex Network Analysis. IEEE Trans. Comput. Soc. Syst. 10(5): 2214-2225 (2023) - [j136]Yiyang Shen, Rongwei Yu, Peng Wu, Haoran Xie, Lina Gong, Jing Qin, Mingqiang Wei:
ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3-D Object Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j135]Lingling Xu, Haoran Xie, Zongxi Li, Fu Lee Wang, Weiming Wang, Qing Li:
Contrastive Learning Models for Sentence Representations. ACM Trans. Intell. Syst. Technol. 14(4): 67:1-67:34 (2023) - [j134]Qiqi Ding, Peng Li, Xuefeng Yan, Ding Shi, Luming Liang, Weiming Wang, Haoran Xie, Jonathan Li, Mingqiang Wei:
CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather With a High-Quality Real Snow Dataset. IEEE Trans. Intell. Transp. Syst. 24(10): 10749-10759 (2023) - [j133]Yufu Chen, Yanghui Rao, Shurui Chen, Zhiqi Lei, Haoran Xie, Raymond Y. K. Lau, Jian Yin:
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains. ACM Trans. Knowl. Discov. Data 17(5): 74:1-74:30 (2023) - [j132]Yufu Chen, Zhiqi Lei, Yanghui Rao, Haoran Xie, Fu Lee Wang, Jian Yin, Qing Li:
Parallel Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. IEEE Trans. Knowl. Data Eng. 35(5): 5132-5146 (2023) - [j131]Xieling Chen, Di Zou, Haoran Xie, Fu Lee Wang:
Metaverse in Education: Contributors, Cooperations, and Research Themes. IEEE Trans. Learn. Technol. 16(6): 1111-1129 (2023) - [j130]Dian Zhang, Zexiong Liao, Wen Xie, Xiaofeng Wu, Haoran Xie, Jiang Xiao, Landu Jiang:
Fine-Grained and Real-Time Gesture Recognition by Using IMU Sensors. IEEE Trans. Mob. Comput. 22(4): 2177-2189 (2023) - [j129]Baiying Lei, Yun Zhu, Enmin Liang, Peng Yang, Shaobin Chen, Huoyou Hu, Haoran Xie, Ziyi Wei, Fei Hao, Xuegang Song, Tianfu Wang, Xiaohua Xiao, Shuqiang Wang, Hongbin Han:
Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis. IEEE Trans. Medical Imaging 42(12): 3651-3664 (2023) - [j128]Mingqiang Wei, Honghua Chen, Yingkui Zhang, Haoran Xie, Yanwen Guo, Jun Wang:
GeoDualCNN: Geometry-Supporting Dual Convolutional Neural Network for Noisy Point Clouds. IEEE Trans. Vis. Comput. Graph. 29(2): 1357-1370 (2023) - [j127]Peng Wu, Lipeng Gu, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Gary Cheng, Mingqiang Wei:
PV-RCNN++: semantical point-voxel feature interaction for 3D object detection. Vis. Comput. 39(6): 2425-2440 (2023) - [j126]Yang Li, Zibin Zheng, Hong-Ning Dai, Raymond Chi-Wing Wong, Haoran Xie:
Profit-based deep architecture with integration of reinforced data selector to enhance trend-following strategy. World Wide Web (WWW) 26(4): 1685-1705 (2023) - [c101]Xianming Li, Zongxi Li, Xiaotian Luo, Haoran Xie, Xing Lee, Yingbin Zhao, Fu Lee Wang, Qing Li:
Recurrent Attention Networks for Long-text Modeling. ACL (Findings) 2023: 3006-3019 - [c100]Zhaowei Chen, Peng Li, Zeyong Wei, Honghua Chen, Haoran Xie, Mingqiang Wei, Fu Lee Wang:
Geogcn: Geometric Dual-Domain Graph Convolution Network For Point Cloud Denoising. ICASSP 2023: 1-5 - [c99]Zhiheng Hu, Yongzhen Wang, Peng Li, Jie Qin, Haoran Xie, Mingqiang Wei:
ISmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection. ICASSP 2023: 1-5 - [c98]Zhangying Weng, Peng Li, Xin Zhuang, Xuefeng Yan, Lina Gong, Haoran Xie, Mingqiang Wei:
ifUNet++: Iterative Feedback UNet++ for Infrared Small Target Detection. ICASSP 2023: 1-5 - [c97]Yicong Liang, Di Zou, Fu Lee Wang, Haoran Xie, Simon K. S. Cheung:
Investigating Demographics and Behavioral Engagement Associated with Online Learning Performance. ICBL 2023: 124-136 - [c96]Lihui Lin, Yanghui Rao, Haoran Xie, Raymond Y. K. Lau, Jian Yin, Fu Lee Wang, Qing Li:
Copula Guided Parallel Gibbs Sampling for Nonparametric and Coherent Topic Discovery (Extended Abstract). ICDE 2023: 3823-3824 - [c95]Yicong Liang, Haoran Xie, Di Zou, Fu Lee Wang:
Investigating Student Profiles Related to Academic Learning Achievement. ICWL 2023: 39-48 - [e7]Haoran Xie, Chiu-Lin Lai, Wei Chen, Guandong Xu, Elvira Popescu:
Advances in Web-Based Learning - ICWL 2023 - 22nd International Conference, ICWL 2023, Sydney, NSW, Australia, November 26-28, 2023, Proceedings. Lecture Notes in Computer Science 14409, Springer 2023, ISBN 978-981-99-8384-1 [contents] - [i46]Thanveer Shaik, Xiaohui Tao, Niall Higgins, Haoran Xie, Raj Gururajan, Xujuan Zhou:
AI enabled RPM for Mental Health Facility. CoRR abs/2301.08828 (2023) - [i45]Mingqiang Wei, Yiyang Shen, Yongzhen Wang, Haoran Xie, Fu Lee Wang:
RainDiffusion: When Unsupervised Learning Meets Diffusion Models for Real-world Image Deraining. CoRR abs/2301.09430 (2023) - [i44]Thanveer Shaik, Xiaohui Tao, Christopher Dann, Haoran Xie, Yan Li, Linda Galligan:
Sentiment analysis and opinion mining on educational data: A survey. CoRR abs/2302.04359 (2023) - [i43]Mingqiang Wei, Qian Sun, Haoran Xie, Dong Liang, Fu Lee Wang:
Search By Image: Deeply Exploring Beneficial Features for Beauty Product Retrieval. CoRR abs/2303.14075 (2023) - [i42]Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Xiaofeng Zhu, Qing Li:
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy. CoRR abs/2305.06360 (2023) - [i41]Xianming Li, Zongxi Li, Xiaotian Luo, Haoran Xie, Xing Lee, Yingbin Zhao, Fu Lee Wang, Qing Li:
Recurrent Attention Networks for Long-text Modeling. CoRR abs/2306.06843 (2023) - [i40]Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Juan D. Velásquez:
Multimodality Fusion for Smart Healthcare: a Journey from Data, Information, Knowledge to Wisdom. CoRR abs/2306.11963 (2023) - [i39]Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Jianming Yong, Yuefeng Li:
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence. CoRR abs/2309.10186 (2023) - [i38]Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Taotao Cai, Xiaofeng Zhu, Qing Li:
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement Learning. CoRR abs/2309.10283 (2023) - [i37]Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Juan D. Velásquez, Niall Higgins:
QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems. CoRR abs/2309.10293 (2023) - [i36]Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, U. Rajendra Acharya, Raj Gururajan, Xujuan Zhou:
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring. CoRR abs/2309.10576 (2023) - [i35]Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Jianming Yong, Hong-Ning Dai:
AI-Driven Patient Monitoring with Multi-Agent Deep Reinforcement Learning. CoRR abs/2309.10980 (2023) - [i34]Zongxi Li, Xianming Li, Yuzhang Liu, Haoran Xie, Jing Li, Fu Lee Wang, Qing Li, Xiaoqin Zhong:
Label Supervised LLaMA Finetuning. CoRR abs/2310.01208 (2023) - [i33]Simi Job, Xiaohui Tao, Taotao Cai, Haoran Xie, Lin Li, Jianming Yong, Qing Li:
Exploring Causal Learning through Graph Neural Networks: An In-depth Review. CoRR abs/2311.14994 (2023) - [i32]Xinhong Chen, Zongxi Li, Yaowei Wang, Haoran Xie, Jianping Wang, Qing Li:
Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions. CoRR abs/2311.16579 (2023) - [i31]Xin Li, Peng Li, Zeyong Wei, Zhe Zhu, Mingqiang Wei, Junhui Hou, Liangliang Nan, Jing Qin, Haoran Xie, Fu Lee Wang:
Cross-BERT for Point Cloud Pretraining. CoRR abs/2312.04891 (2023) - [i30]Lingling Xu, Haoran Xie, Si-Zhao Joe Qin, Xiaohui Tao, Fu Lee Wang:
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment. CoRR abs/2312.12148 (2023) - [i29]Lianyu Pang, Jian Yin, Haoran Xie, Qiping Wang, Qing Li, Xudong Mao:
Cross Initialization for Personalized Text-to-Image Generation. CoRR abs/2312.15905 (2023) - 2022
- [j125]Xiaohui Tao, Aaron Shannon-Honson, Patrick J. Delaney, Lin Li, Christopher Dann, Yan Li, Haoran Xie:
Data Analytics on Online Student Engagement Data for Academic Performance Modeling. IEEE Access 10: 103176-103186 (2022) - [j124]Xieling Chen, Gary Cheng, Fu Lee Wang, Xiaohui Tao, Haoran Xie, Lingling Xu:
Machine and cognitive intelligence for human health: systematic review. Brain Informatics 9(1): 5 (2022) - [j123]Xieling Chen, Haoran Xie, Qing Li:
Vision, status, and topics of X Reality in Education. Comput. Educ. X Real. 1: 100001 (2022) - [j122]Chengyu Zheng, Ding Shi, Xuefeng Yan, Dong Liang, Mingqiang Wei, Xin Yang, Yanwen Guo, Haoran Xie:
GlassNet: Label Decoupling-based Three-stream Neural Network for Robust Image Glass Detection. Comput. Graph. Forum 41(1): 377-388 (2022) - [j121]Jie Wang, Yongzhen Wang, Yidan Feng, Lina Gong, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
Contrastive Semantic-Guided Image Smoothing Network. Comput. Graph. Forum 41(7): 335-346 (2022) - [j120]Yiyang Shen, Yongzhen Wang, Mingqiang Wei, Honghua Chen, Haoran Xie, Gary Cheng, Fu Lee Wang:
Semi-MoreGAN: Semi-supervised Generative Adversarial Network for Mixture of Rain Removal. Comput. Graph. Forum 41(7): 443-454 (2022) - [j119]Yongzhen Wang, Xuefeng Yan, Kaiwen Zhang, Lina Gong, Haoran Xie, Fu Lee Wang, Mingqiang Wei:
TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning. Comput. Graph. Forum 41(7): 465-476 (2022) - [j118]Xieling Chen, Haoran Xie, Gary Cheng, Zongxi Li:
A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis. Cogn. Comput. 14(1): 24-47 (2022) - [j117]Qing-Ke Fu, Di Zou, Haoran Xie, Gary Cheng, Gwo-Jen Hwang:
Effects of a collaborative design approach on pre-service teachers' ability of designing for learning with a digital game. Educ. Inf. Technol. 27(4): 5641-5664 (2022) - [j116]Ruofei Zhang, Di Zou, Gary Cheng, Haoran Xie:
Implementing technology-enhanced collaborative writing in second and foreign language learning: A review of practices, technology and challenges. Educ. Inf. Technol. 27(6): 8041-8069 (2022) - [j115]Xieling Chen, Di Zou, Haoran Xie:
A decade of learning analytics: Structural topic modeling based bibliometric analysis. Educ. Inf. Technol. 27(8): 10517-10561 (2022) - [j114]Di Zou, Xinyi Huang, Lucas Kohnke, Xieling Chen, Gary Cheng, Haoran Xie:
A bibliometric analysis of the trends and research topics of empirical research on TPACK. Educ. Inf. Technol. 27(8): 10585-10609 (2022) - [j113]Xieling Chen, Fu Lee Wang, Gary Cheng, Man-Kong Chow, Haoran Xie:
Understanding Learners' Perception of MOOCs Based on Review Data Analysis Using Deep Learning and Sentiment Analysis. Future Internet 14(8): 218 (2022) - [j112]Jiaxin Chen, Zekai Wu, Zhenguo Yang, Haoran Xie, Fu Lee Wang, Wenyin Liu:
Multimodal Fusion Network With Contrary Latent Topic Memory for Rumor Detection. IEEE Multim. 29(1): 104-113 (2022) - [j111]Xieling Chen, Di Zou, Haoran Xie, Gary Cheng, Fan Su:
A bibliometric analysis of game-based collaborative learning between 2000 and 2019. Int. J. Mob. Learn. Organisation 16(1): 20-51 (2022) - [j110]Ruofei Zhang, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang:
Supportiveness of language MOOCs for self-regulated learning: a review of commercial language MOOCs on the market. Int. J. Mob. Learn. Organisation 16(3): 323-348 (2022) - [j109]Xieling Chen, Di Zou, Gary Cheng, Haoran Xie:
Thirty years of interactive learning environments: contributors, collaborations and research topics. Int. J. Mob. Learn. Organisation 16(4): 447-474 (2022) - [j108]