A New Process Neural Network Algorithm of Soft Sensor for Time-Varying System. - Zaiwen Liu; Xiaoyi Wang; Xiaoqin Lian; Zhengxiang Wang; Chaozhen Hou (CIMCA/IAWTIC, 2006)

Learning instance-to-class distance for human action recognition. - Zhengxiang Wang; Yiqun Hu; Liang-Tien Chia (ICIP, 2009)

Multi-label learning by Image-to-Class distance for scene classification and image annotation. - Zhengxiang Wang; Yiqun Hu; Liang-Tien Chia (CIVR, 2010)

Image-to-Class Distance Metric Learning for Image Classification. - Zhengxiang Wang; Yiqun Hu; Liang-Tien Chia (ECCV (1), 2010)

Automatic image tagging via category label and web data. - Shenghua Gao; Zhengxiang Wang; Liang-Tien Chia; Ivor Wai-Hung Tsang (ACM Multimedia, 2010)

LucidDraw: Efficiently visualizing complex biochemical networks within MATLAB. - Sheng He; Juan Mei; Guiyang Shi; Zhengxiang Wang; Weijiang Li (BMC Bioinform., 2010)

Improved learning of I2C distance and accelerating the neighborhood search for image classification. - Zhengxiang Wang; Yiqun Hu; Liang-Tien Chia (Pattern Recognit., 2011)

Learning Class-to-Image Distance via Large Margin and L1-Norm Regularization. - Zhengxiang Wang; Shenghua Gao; Liang-Tien Chia (ECCV (2), 2012)

Semi-supervised Learning for Large Scale Image Cosegmentation. - Zhengxiang Wang; Rujie Liu (ICCV, 2013)

Learning image-to-class distance metric for image classification. - Zhengxiang Wang; Yiqun Hu; Liang-Tien Chia (ACM Trans. Intell. Syst. Technol., 2013)

Distance learning between image and class for object recognition - Zhengxiang Wang (2013)

Monitoring of Urban Black-Odor Water Based on Nemerow Index and Gradient Boosting Decision Tree Regression Using UAV-Borne Hyperspectral Imagery. - Lifei Wei; Can Huang; Zhengxiang Wang; Zhou Wang 003; Xiaocheng Zhou; Liqin Cao (Remote. Sens., 2019)

Transparency Estimation of Narrow Rivers by UAV-Borne Hyperspectral Remote Sensing Imagery. - Lifei Wei; Zhou Wang 003; Can Huang; Yu Zhang; Zhengxiang Wang; Huiqiong Xia; Liqin Cao (IEEE Access, 2020)

Estimation of Soil Arsenic Content with Hyperspectral Remote Sensing. - Lifei Wei; Haochen Pu; Zhengxiang Wang; Ziran Yuan; Xinru Yan; Liqin Cao (Sensors, 2020)

Hyperspectral Inversion of Soil Organic Matter Content Based on a Combined Spectral Index Model. - Lifei Wei; Ziran Yuan; Zhengxiang Wang; Liya Zhao; Yangxi Zhang; Xianyou Lu; Liqin Cao (Sensors, 2020)

Inland Lakes Mapping for Monitoring Water Quality Using a Detail/Smoothing-Balanced Conditional Random Field Based on Landsat-8/Levels Data. - Lifei Wei; Yu Zhang; Can Huang; Zhengxiang Wang; Qingbin Huang; Feng Yin; Yue Guo; Liqin Cao (Sensors, 2020)

Crops Fine Classification in Airborne Hyperspectral Imagery Based on Multi-Feature Fusion and Deep Learning. - Lifei Wei; Kun Wang; Qikai Lu; Yajing Liang; Haibo Li; Zhengxiang Wang; Run Wang; Liqin Cao (Remote. Sens., 2021)

Random Text Perturbations Work, but not Always. - Zhengxiang Wang (Eval4NLP, 2022)

Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching. - Zhengxiang Wang (ICNLSP, 2022)

Water Quality Grade Identification for Lakes in Middle Reaches of Yangtze River Using Landsat-8 Data with Deep Neural Networks (DNN) Model. - Zeyang Wei; Lifei Wei; Hong Yang 005; Zhengxiang Wang; Zhiwei Xiao; Zhongqiang Li; Yujing Yang; Guobin Xu (Remote. Sens., 2022)

AI Algorithm Evaluation and Regulation: Challenges and Countermeasures for Artificial Intelligence Risk Management. - Wenyi Xu; Shu Zhou; Guizhen Liu; Zhengxiang Wang (ICBAR, 2023)

Learning Transductions and Alignments with RNN Seq2seq Models. - Zhengxiang Wang (ICGI, 2023)

Probabilistic Linguistic Knowledge and Token-level Text Augmentation. - Zhengxiang Wang (CoRR, 2023)

Thirty-Two Years of IEEE VIS: Authors, Fields of Study and Citations. - Hongtao Hao 002; Yumian Cui; Zhengxiang Wang; Yea-Seul Kim (IEEE Trans. Vis. Comput. Graph., 2023)

Social Robot Recognition Based on E-GraphCTAGE Model: Integration of Facial Expression And Multi-feature Processing. - Xiujuan Wang; Zhengxiang Wang; Kangmiao Chen; Keke Wang; Conglin Zhou; Juan Fang (CSAI, 2024)

Clustering Document Parts: Detecting and Characterizing Influence Campaigns From Documents. - Zhengxiang Wang; Owen Rambow (CoRR, 2024)

Evaluating LLMs with Multiple Problems at once: A New Paradigm for Probing LLM Capabilities. - Zhengxiang Wang; Jordan Kodner; Owen Rambow (CoRR, 2024)

Unsupervised twitter social bot detection using deep contrastive graph clustering. - Xiujuan Wang; Keke Wang; Kangmiao Chen; Zhengxiang Wang; Kangfeng Zheng (Knowl. Based Syst., 2024)

FedKG: A Knowledge Distillation-Based Federated Graph Method for Social Bot Detection. - Xiujuan Wang; Kangmiao Chen; Keke Wang; Zhengxiang Wang; Kangfeng Zheng; Jiayue Zhang (Sensors, 2024)

LLMs can Perform Multi-Dimensional Analytic Writing Assessments: A Case Study of L2 Graduate-Level Academic English Writing. - Zhengxiang Wang; Veronika Makarova; Zhi Li; Jordan Kodner; Owen Rambow (ACL (1), 2025)

Multi-stage self-training social bot detection based on graph neural network. - Keke Wang; Xiujuan Wang; Kangmiao Chen; Zhengxiang Wang; Kangfeng Zheng (Eng. Appl. Artif. Intell., 2025)

Automatic Extraction of Roads From Multisource Geospatial Data Using Fusion Attention Network and Regularization Algorithm. - Zejiao Wang; Longgang Xiang; Zhongyu Liu; Zhengxiang Wang (IEEE Trans. Geosci. Remote. Sens., 2025)