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2020 – today
- 2024
[j8]Haitao Huang
, Hu Tian, Xiaolong Zheng, Xingwei Zhang, Daniel Dajun Zeng, Fei-Yue Wang:
CGNN: A Compatibility-Aware Graph Neural Network for Social Media Bot Detection. IEEE Trans. Comput. Soc. Syst. 11(5): 6528-6543 (2024)- 2023
- [j7]Xingwei Zhang, Hu Tian, Xiaolong Zheng, Daniel Dajun Zeng:
Robust Monitor for Industrial IoT Condition Prediction. IEEE Internet Things J. 10(10): 8618-8629 (2023) - [j6]Hu Tian, Xingwei Zhang, Xiaolong Zheng, Daniel Dajun Zeng:
Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 6705-6717 (2023) - [c20]Lang Zhou, Anping Ji, Yun Yu, Gen Zhang, Hu Tian, Guangyao Zhu:
Characterization of fluid-solid coupled motion of corn seed bends in fluid seeding. ICMML 2023: 140-145 - 2022
- [j5]Hu Tian, Xiaolong Zheng, Kang Zhao, Maggie Wenjing Liu, Daniel Dajun Zeng:
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions. INFORMS J. Comput. 34(4): 1940-1957 (2022) - [j4]Xiaolong Zheng, Hu Tian, Zhe Wan, Xiao Wang, Daniel Dajun Zeng, Fei-Yue Wang:
Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode. IEEE Trans. Comput. Soc. Syst. 9(1): 45-58 (2022) - [c19]Rongrong Jing, Hu Tian, Xingwei Zhang, Gang Zhou, Xiaolong Zheng, Daniel Zeng:
Self-Training Based Semi-Supervised and Semi-Paired Hashing Cross-Modal Retrieval. IJCNN 2022: 1-8 - [i1]Zizhen Deng, Xiaolong Zheng, Hu Tian, Daniel Dajun Zeng:
Deep Causal Learning: Representation, Discovery and Inference. CoRR abs/2211.03374 (2022) - 2021
- [j3]Hu Tian, Xiaolong Zheng, Xingwei Zhang, Daniel Dajun Zeng:
∊-k anonymization and adversarial training of graph neural networks for privacy preservation in social networks. Electron. Commer. Res. Appl. 50: 101105 (2021) - [c18]Gang Zhou, Rongrong Jing, Xiaolong Zheng, Xingwei Zhang, Hu Tian, Daniel Dajun Zeng:
Analyzing the Hidden Causal Interactions in Large-Scale Social Networks: A Case Study on GameStop. DTPI 2021: 294-297 - [c17]Rongrong Jing, Hu Tian, Gang Zhou, Xingwei Zhang, Xiaolong Zheng, Daniel Dajun Zeng:
A GNN-based Few-shot learning model on the Credit Card Fraud detection. DTPI 2021: 320-323 - 2020
- [j2]Sun Ming, Zeng Ji, Hu Tian:
A Visualization Analysis of China?s Leisure Sports Research. J. Vis. Lang. Comput. 2020(1): 27-36 (2020) - [c16]Zeng Ji, Hu Tian, Sun Ming:
A Visualization Analysis of China's Leisure Sports Research (P). DMSVIVA 2020: 37-48 - [c15]Rongrong Jing, Hu Tian, Yidi Li, Xingwei Zhang, Xiaolong Zheng, Zhu Zhang, Daniel Zeng:
Improving the Data Quality for Credit Card Fraud Detection. ISI 2020: 1-6 - [c14]Pu Miao, Hu Tian, Xingwei Zhang, Saike He, Xiaolong Zheng, Desheng Dash Wu, Daniel Zeng:
Analyzing the Evolutionary Characteristics of the Cluster of COVID-19 under Anti-contagion Policies. ISI 2020: 1-6
2010 – 2019
- 2019
- [c13]Rongrong Jing, Xiaolong Zheng, Hu Tian, Xingwei Zhang, Weiyun Chen, Desheng Dash Wu, Daniel Dajun Zeng:
A Graph-Based Semi-Supervised Fraud Detection Framework. CYBCONF 2019: 1-5 - [c12]Hu Tian, Fei Li:
Semi-supervised Depth Estimation from a Single Image Based on Confidence Learning. ICASSP 2019: 8573-8577 - [c11]Hu Tian, Fei Li:
Autoencoder-Based Fabric Defect Detection with Cross- Patch Similarity. MVA 2019: 1-6 - 2018
- [c10]Hu Tian, Fei Li:
Depth Prediction From a Single Image with 3D Consistency. ICIP 2018: 111-115 - 2017
- [c9]Hu Tian, Fei Li:
Accurate multi-view stereo by selective expansion. 3DTV-Conference 2017: 1-4 - [c8]Fei Li, Yunfan Du, Hu Tian, Rujie Liu:
Color Mapping for 3D Geometric Models without Reference Image Locations. DICTA 2017: 1-6 - 2016
- [j1]Yan Hua, Hu Tian:
Depth estimation with convolutional conditional random field network. Neurocomputing 214: 546-554 (2016) - [c7]Hu Tian, Fei Li:
Color-guided depth refinement based on edge alignment. MMSP 2016: 1-5 - 2015
- [c6]Yan Hua, Hu Tian, Anni Cai, Ping Shi:
Cross-modal correlation learning with deep convolutional architecture. VCIP 2015: 1-4 - 2014
- [c5]Hu Tian, Bojin Zhuang, Yan Hua, Anni Cai:
Depth extraction from a single image by sampling based on distance metric learning. ICIP 2014: 2017-2021 - [c4]Yan Hua, Jie Shao, Hu Tian, Zhi-Cheng Zhao, Fei Su, Anni Cai:
An output aggregation system for large scale cross-modal retrieval. ICME Workshops 2014: 1-6 - [c3]Hu Tian, Bojin Zhuang, Yan Hua, Anni Cai:
Depth inference with convolutional neural network. VCIP 2014: 169-172 - 2013
- [c2]Yan Hua, Zhi-Cheng Zhao, Hu Tian, Xin Guo, Anni Cai:
A probabilistic saliency model with memory-guided top-down cues for free-viewing. ICME 2013: 1-6 - [c1]Hu Tian, Bojin Zhuang, Yan Hua, Yanyun Zhao, Anni Cai:
Recovering depth of background and foreground from a monocular video with camera motion. VCIP 2013: 1-6
Coauthor Index
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