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2020 – today
- 2024
[j13]Xiujuan Wang
, Keke Wang, Kangmiao Chen, Zhengxiang Wang, Kangfeng Zheng:
Unsupervised twitter social bot detection using deep contrastive graph clustering. Knowl. Based Syst. 293: 111690 (2024)- [j12]Xiujuan Wang, Kangmiao Chen, Keke Wang, Zhengxiang Wang, Kangfeng Zheng, Jiayue Zhang:
FedKG: A Knowledge Distillation-Based Federated Graph Method for Social Bot Detection. Sensors 24(11): 3481 (2024) - [i7]Zhengxiang Wang, Owen Rambow:
Clustering Document Parts: Detecting and Characterizing Influence Campaigns From Documents. CoRR abs/2402.17151 (2024) - [i6]Zhengxiang Wang, Jordan Kodner, Owen Rambow:
Evaluating LLMs with Multiple Problems at once: A New Paradigm for Probing LLM Capabilities. CoRR abs/2406.10786 (2024) - 2023
- [j11]Hongtao Hao, Yumian Cui, Zhengxiang Wang, Yea-Seul Kim:
Thirty-Two Years of IEEE VIS: Authors, Fields of Study and Citations. IEEE Trans. Vis. Comput. Graph. 29(1): 1016-1025 (2023) - [c11]Wenyi Xu, Shu Zhou, Guizhen Liu, Zhengxiang Wang:
AI Algorithm Evaluation and Regulation: Challenges and Countermeasures for Artificial Intelligence Risk Management. ICBAR 2023: 386-391 - [c10]Zhengxiang Wang:
Learning Transductions and Alignments with RNN Seq2seq Models. ICGI 2023: 223-249 - [i5]Zhengxiang Wang:
Learning Transductions and Alignments with RNN Seq2seq Models. CoRR abs/2303.06841 (2023) - [i4]Zhengxiang Wang:
Probabilistic Linguistic Knowledge and Token-level Text Augmentation. CoRR abs/2306.16644 (2023) - 2022
- [j10]Zeyang Wei, Lifei Wei, Hong Yang, Zhengxiang Wang, Zhiwei Xiao, Zhongqiang Li, Yujing Yang, Guobin Xu:
Water Quality Grade Identification for Lakes in Middle Reaches of Yangtze River Using Landsat-8 Data with Deep Neural Networks (DNN) Model. Remote. Sens. 14(24): 6238 (2022) - [c9]Zhengxiang Wang:
Random Text Perturbations Work, but not Always. Eval4NLP 2022: 51-57 - [c8]Zhengxiang Wang:
Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching. ICNLSP 2022: 40-49 - [i3]Hongtao Hao, Yumian Cui, Zhengxiang Wang, Yea-Seul Kim:
Thirty-Two Years of IEEE VIS: Authors, Fields of Study and Citations. CoRR abs/2208.03772 (2022) - [i2]Zhengxiang Wang:
Random Text Perturbations Work, but not Always. CoRR abs/2209.00797 (2022) - 2021
- [j9]Lifei Wei, Kun Wang, Qikai Lu, Yajing Liang, Haibo Li, Zhengxiang Wang, Run Wang, Liqin Cao:
Crops Fine Classification in Airborne Hyperspectral Imagery Based on Multi-Feature Fusion and Deep Learning. Remote. Sens. 13(15): 2917 (2021) - [i1]Zhengxiang Wang:
Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching. CoRR abs/2111.14709 (2021) - 2020
- [j8]Lifei Wei, Zhou Wang, Can Huang, Yu Zhang, Zhengxiang Wang, Huiqiong Xia, Liqin Cao:
Transparency Estimation of Narrow Rivers by UAV-Borne Hyperspectral Remote Sensing Imagery. IEEE Access 8: 168137-168153 (2020) - [j7]Lifei Wei, Yu Zhang, Can Huang, Zhengxiang Wang, Qingbin Huang, Feng Yin, Yue Guo, Liqin Cao:
Inland Lakes Mapping for Monitoring Water Quality Using a Detail/Smoothing-Balanced Conditional Random Field Based on Landsat-8/Levels Data. Sensors 20(5): 1345 (2020) - [j6]Lifei Wei, Ziran Yuan, Zhengxiang Wang, Liya Zhao, Yangxi Zhang, Xianyou Lu, Liqin Cao:
Hyperspectral Inversion of Soil Organic Matter Content Based on a Combined Spectral Index Model. Sensors 20(10): 2777 (2020) - [j5]Lifei Wei, Haochen Pu, Zhengxiang Wang, Ziran Yuan, Xinru Yan, Liqin Cao:
Estimation of Soil Arsenic Content with Hyperspectral Remote Sensing. Sensors 20(14): 4056 (2020)
2010 – 2019
- 2019
- [j4]Lifei Wei, Can Huang, Zhengxiang Wang, Zhou Wang, Xiaocheng Zhou, Liqin Cao:
Monitoring of Urban Black-Odor Water Based on Nemerow Index and Gradient Boosting Decision Tree Regression Using UAV-Borne Hyperspectral Imagery. Remote. Sens. 11(20): 2402 (2019) - 2013
- [b1]Zhengxiang Wang:
Distance learning between image and class for object recognition. Nanyang Technological University, Singapore, 2013 - [j3]Zhengxiang Wang, Yiqun Hu, Liang-Tien Chia:
Learning image-to-class distance metric for image classification. ACM Trans. Intell. Syst. Technol. 4(2): 34:1-34:22 (2013) - [c7]Zhengxiang Wang, Rujie Liu:
Semi-supervised Learning for Large Scale Image Cosegmentation. ICCV 2013: 393-400 - 2012
- [c6]Zhengxiang Wang, Shenghua Gao, Liang-Tien Chia:
Learning Class-to-Image Distance via Large Margin and L1-Norm Regularization. ECCV (2) 2012: 230-244 - 2011
- [j2]Zhengxiang Wang, Yiqun Hu, Liang-Tien Chia:
Improved learning of I2C distance and accelerating the neighborhood search for image classification. Pattern Recognit. 44(10-11): 2384-2394 (2011) - 2010
- [j1]Sheng He, Juan Mei, Guiyang Shi, Zhengxiang Wang, Weijiang Li:
LucidDraw: Efficiently visualizing complex biochemical networks within MATLAB. BMC Bioinform. 11: 31 (2010) - [c5]Zhengxiang Wang, Yiqun Hu, Liang-Tien Chia:
Multi-label learning by Image-to-Class distance for scene classification and image annotation. CIVR 2010: 105-112 - [c4]Zhengxiang Wang, Yiqun Hu, Liang-Tien Chia:
Image-to-Class Distance Metric Learning for Image Classification. ECCV (1) 2010: 706-719 - [c3]Shenghua Gao, Zhengxiang Wang, Liang-Tien Chia, Ivor Wai-Hung Tsang:
Automatic image tagging via category label and web data. ACM Multimedia 2010: 1115-1118
2000 – 2009
- 2009
- [c2]Zhengxiang Wang, Yiqun Hu, Liang-Tien Chia:
Learning instance-to-class distance for human action recognition. ICIP 2009: 3545-3548 - 2006
- [c1]Zaiwen Liu, Xiaoyi Wang, Xiaoqin Lian, Zhengxiang Wang, Chaozhen Hou:
A New Process Neural Network Algorithm of Soft Sensor for Time-Varying System. CIMCA/IAWTIC 2006: 166
Coauthor Index
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