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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j29]Bayi Cheng, Lingjun Wang, Qi Tan, Mi Zhou:
A deep reinforcement learning hyper-heuristic to solve order batching problem with mobile robots. Appl. Intell. 54(9-10): 6865-6887 (2024)- [j28]Shurun Wang, Hao Tang, Feng Chen, Qi Tan, Qi Jiang
:
Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals. Artif. Intell. Medicine 149: 102777 (2024) - [j27]Bayi Cheng, Tao Xie, Lingjun Wang, Qi Tan, Xiongfei Cao:
Deep reinforcement learning driven cost minimization for batch order scheduling in robotic mobile fulfillment systems. Expert Syst. Appl. 255: 124589 (2024) - [j26]Qi Tan, Yang Liu, Jiming Liu:
Mutually Adaptable Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 240-254 (2024) - [j25]Guangmeng Zhou, Qi Li, Yang Liu, Yi Zhao, Qi Tan, Su Yao, Ke Xu:
FedPAGE: Pruning Adaptively Toward Global Efficiency of Heterogeneous Federated Learning. IEEE/ACM Trans. Netw. 32(3): 1873-1887 (2024) - [c25]Qi Tan:
From Modeling to Fractals: Research on Prototyping of Augmented Fractal Tangram Blocks Set. HCI (29) 2024: 132-141 - [c24]Hanchao Yu, Hao He, Qi Tan:
Gamified Participatory Design Empowers Blind People's Emotional Experience - Take "Sound·Sound" as an Example. HCI (31) 2024: 165-174 - [c23]Qi Tan, Qi Li, Yi Zhao, Zhuotao Liu, Xiaobing Guo, Ke Xu:
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach. USENIX Security Symposium 2024 - [i4]Qi Tan, Qi Li, Yi Zhao, Zhuotao Liu, Xiaobing Guo, Ke Xu:
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach. CoRR abs/2403.01268 (2024) - 2023
- [j24]Fengmin Yao, Qi Tan, Tao Li, Bin Liu:
Optimal integration and bargaining decisions in asymmetric competing supply chains under virtual bargaining. Comput. Ind. Eng. 182: 109361 (2023) - [j23]Qi Tan, Zongze Wu, Jialun Lai, Zexiao Liang, Zhigang Ren:
HDGN: Heat diffusion graph network for few-shot learning. Pattern Recognit. Lett. 171: 61-68 (2023) - [j22]Yang Yang, Yutong Zhang, Yue Lang, Beichen Li, Shisheng Guo, Qi Tan:
GAN-Based Radar Spectrogram Augmentation via Diversity Injection Strategy. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c22]Qi Tan, Yuan Ma, Xingjian Zhang:
Channel Estimation for Massive MIMO: A Weighted Nuclear Norm Minimization Approach. GLOBECOM 2023: 4509-4515 - [c21]Hao He, Xiandong Cheng, Ziyang Li, Qi Tan:
Gamified Participatory Exhibition Design Research for Future Museums. HCI (24) 2023: 74-87 - [c20]Qi Tan:
Playable Modeling: Interactive Learning Process in Science and Art. HCI (23) 2023: 185-199 - [i3]Shenzheng Zhang, Qi Tan, Xinzhi Zheng, Yi Ren, Xu Zhao:
Item Cold Start Recommendation via Adversarial Variational Auto-encoder Warm-up. CoRR abs/2302.14395 (2023) - 2022
- [j21]Jiawei Pan, Deyu Zeng, Qi Tan, Zongze Wu, Zhigang Ren:
EU-Net: A novel semantic segmentation architecture for surface defect detection of mobile phone screens. IET Image Process. 16(10): 2568-2576 (2022) - [j20]Qi Tan, Pei Yang, Guihua Wen:
Deep non-negative tensor factorization with multi-way EMG data. Neural Comput. Appl. 34(2): 1307-1317 (2022) - [j19]Yi Zhao, Ke Xu, Jiahui Chen, Qi Tan:
Collaboration-Enabled Intelligent Internet Architecture: Opportunities and Challenges. IEEE Netw. 36(5): 98-105 (2022) - [j18]Hao Tang, Shurun Wang, Qi Tan, Bin Wang:
A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals From Surface Electromyographic Signals. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j17]Shurun Wang, Hao Tang, Lifu Gao, Qi Tan:
Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network. IEEE J. Biomed. Health Informatics 26(11): 5461-5472 (2022) - [c19]Songwei Shan, Qi Tan, Yiu Chung Lau, Zhanwei Du, Eric H. Y. Lau, Peng Wu, Benjamin J. Cowling:
Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract). AAAI 2022: 13045-13046 - [c18]Yi Zhao, Qi Tan, Xiaohua Xu, Hui Su, Dan Wang, Ke Xu:
Congestion-Aware Modeling and Analysis of Sponsored Data Plan from End User Perspective. IWQoS 2022: 1-11 - [i2]Zhanwei Du, Xiao Zhang, Lin Wang, Sidan Yao, Yuan Bai, Qi Tan, Xiaoke Xu, Sen Pei, Jingyi Xiao, Tim K. Tsang, Qiuyan Liao, Eric H. Y. Lau, Peng Wu, Chao Gao, Benjamin J. Cowling:
Characterizing human collective behaviours of COVID-19 in Hong Kong. CoRR abs/2212.05299 (2022) - 2021
- [j16]Jiaxu Cui, Qi Tan, Chunxu Zhang, Bo Yang:
A novel framework of graph Bayesian optimization and its applications to real-world network analysis. Expert Syst. Appl. 170: 114524 (2021) - [j15]Qi Tan, Yang Liu, Jiming Liu, Benyun Shi, Shang Xia, Xiao-Nong Zhou:
Heterogeneous neural metric learning for spatio-temporal modeling of infectious diseases with incomplete data. Neurocomputing 458: 701-713 (2021) - [j14]Abel Zhou, Qi Tan, Graeme L. White, Rob Davidson:
New antiscatter grid design by optimization of strip thickness and height. Int. J. Imaging Syst. Technol. 31(3): 1294-1299 (2021) - [j13]Qi Tan, Yang Liu, Jiming Liu:
Demystifying Deep Learning in Predictive Spatiotemporal Analytics: An Information-Theoretic Framework. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3538-3552 (2021) - [c17]Xu Deng, Lidong Zhu, Qi Tan, Ying Yang, Yong Zhang:
Multi-layer satellite network resource management based on genetic algorithm. ISNCC 2021: 1-6 - [c16]Qi Tan, Lidong Zhu, Xu Deng, Zhongru Zhu:
An Adaptive DOA Estimation Method Based on Transfer Joint Matching for Space Communications. ISNCC 2021: 1-5 - 2020
- [j12]Qi Tan, Yang Liu, Jiming Liu:
Motif-aware diffusion network inference. Int. J. Data Sci. Anal. 9(4): 375-387 (2020) - [j11]Abel Zhou, Yuming Yin, Qi Tan, Graeme L. White, Rob Davidson:
The determination of the optimal strip-thickness of anti-scatter grids for a given grid ratio and strip height. Int. J. Imaging Syst. Technol. 30(4): 916-925 (2020) - [j10]Pei Yang, Qi Tan, Jingrui He:
Complex heterogeneity learning: A theoretical and empirical study. Pattern Recognit. 107: 107519 (2020) - [c15]Qi Tan, Yang Liu, Jiming Liu:
Mesoscale Anisotropically-Connected Learning. ISMIS 2020: 171-180 - [i1]Qi Tan, Yang Liu, Jiming Liu:
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework. CoRR abs/2009.06304 (2020)
2010 – 2019
- 2019
- [j9]Qi Tan, Yi Qu, Ke Xu, Haiyang Wang, Dan Wang, Meng Shen:
Interference-aware lifetime maximization with joint routing and charging in wireless sensor networks. CCF Trans. Netw. 2(3-4): 188-206 (2019) - [c14]Yilun Liu, Lidong Zhu, Yiheng Gui, Qi Tan:
Variable Power Communication: Physical Layer Security System for Space Communication. GLOBECOM Workshops 2019: 1-6 - [c13]Qi Tan, Lidong Zhu:
A GFK-Based SNR Adaptive DOA Estimation Method. ICCT 2019: 233-238 - [c12]Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He:
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. IJCAI 2019: 4078-4084 - [c11]Yi Zhao, Meina Qiao, Haiyang Wang, Rui Zhang, Dan Wang, Ke Xu, Qi Tan:
TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information. INFOCOM 2019: 1981-1989 - [c10]Pei Yang, Qi Tan, Hanghang Tong, Jingrui He:
Task-Adversarial Co-Generative Nets. KDD 2019: 1596-1604 - 2018
- [j8]Lun Tang, Qi Tan, Yingjie Shi, Chen-meng Wang, Qianbin Chen:
Adaptive Virtual Resource Allocation in 5G Network Slicing Using Constrained Markov Decision Process. IEEE Access 6: 61184-61195 (2018) - [j7]Pei Yang, Qi Tan, Yada Zhu, Jingrui He:
Heterogeneous representation learning with separable structured sparsity regularization. Knowl. Inf. Syst. 55(3): 671-694 (2018) - [j6]Qi Tan, Pei Yang, Jingrui He:
Feature co-shrinking for co-clustering. Pattern Recognit. 77: 12-19 (2018) - [j5]Pei Yang, Qi Tan, Jingrui He:
Function-on-Function Regression with Mode-Sparsity Regularization. ACM Trans. Knowl. Discov. Data 12(3): 36:1-36:23 (2018) - [c9]Qi Tan, Jiming Liu, Benyun Shi, Yang Liu, Xiao-Nong Zhou:
Public Health Surveillance with Incomplete Data - Spatio-Temporal Imputation for Inferring Infectious Disease Dynamics. ICHI 2018: 255-264 - [c8]Qi Tan, Yang Liu, Jiming Liu:
Motif-Aware Diffusion Network Inference. PAKDD (3) 2018: 638-650 - 2017
- [c7]Pei Yang, Qi Tan, Jingrui He:
Multi-task Function-on-function Regression with Co-grouping Structured Sparsity. KDD 2017: 1255-1264 - 2014
- [j4]Qi Tan, Huifang Deng, Pei Yang:
Knowledge transfer across different domain data with multiple views. Neural Comput. Appl. 25(1): 15-23 (2014) - [c6]Miao Sun, Qi Tan, Runwei Ding, Hong Liu:
Cross-domain sentiment classification using deep learning approach. CCIS 2014: 60-64 - 2013
- [j3]Xiaolin Li, Yanli Huang, Qi Tan, Huaping Chen:
Scheduling unrelated parallel batch processing machines with non-identical job sizes. Comput. Oper. Res. 40(12): 2983-2990 (2013) - [j2]Xiaolin Li, Huaping Chen, Bing Du, Qi Tan:
Heuristics to schedule uniform parallel batch processing machines with dynamic job arrivals. Int. J. Comput. Integr. Manuf. 26(5): 474-486 (2013) - [j1]Pei Yang, Wei Gao, Qi Tan, Kam-Fai Wong:
A link-bridged topic model for cross-domain document classification. Inf. Process. Manag. 49(6): 1181-1193 (2013) - 2012
- [c5]Pei Yang, Wei Gao, Qi Tan, Kam-Fai Wong:
Information-theoretic Multi-view Domain Adaptation. ACL (2) 2012: 270-274 - [c4]Qi Tan, Huifang Deng, Pei Yang:
Kernel Mean Matching with a Large Margin. ADMA 2012: 223-234
2000 – 2009
- 2009
- [c3]Pei Yang, Qi Tan, Hao Xu, Yehua Ding:
An Information-Theoretic Approach for Multi-task Learning. ADMA 2009: 386-396 - 2008
- [c2]Pei Yang, Qi Tan, Yehua Ding:
Bayesian Task-Level Transfer Learning for Non-linear Regression. CSSE (1) 2008: 62-65 - 2002
- [c1]Wei Jyh Heng, Qi Tan:
Content enhancement for e-learning lecture video using foreground/background separation. IEEE Workshop on Multimedia Signal Processing 2002: 436-439
Coauthor Index
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last updated on 2024-11-06 20:26 CET by the dblp team
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