Image Denoising with Contourlet Transform Based on PCA. - Lin-li Sun; Yan Li; Jianming Zheng (ISCSCT (1), 2008)

BP-PID Control for Electro-hydraulic Proportional Position Servo System. - Jianming Zheng; Min Xiao; Mingshun Yang; Yan Li; Lingfei Kong (Int. J. Online Eng., 2013)

Recovering Surface Details under General Unknown Illumination Using Shading and Coarse Multi-view Stereo. - Di Xu; Qi Duan; Jianming Zheng; Juyong Zhang; Jianfei Cai 001; Tat-Jen Cham (CVPR, 2014)

Sensitivity of Pressure Sensors Enhanced by Doping Silver Nanowires. - Baozhang Li; Chengyi Xu; Jianming Zheng; Chunye Xu (Sensors, 2014)

How socio-culture impact the information behavior of Chinese urban newcomers. - Honglei Lia Sun; Jianming Zheng; Meng Wang; Ya Chen (ASIST, 2019)

Hierarchical Neural Representation for Document Classification. - Jianming Zheng; Fei Cai; Wanyu Chen; Chong Feng; Honghui Chen (Cogn. Comput., 2019)

An Accurate Illumination Model of Machined Surface Based on Micro-Image. - Weichao Shi; Jianming Zheng; Yan Li; Xubo Li; Qiannan An (Int. J. Pattern Recognit. Artif. Intell., 2019)

Online information grounds by urban newcomers in China. - Honglei Lia Sun; Meng Wang; Jianming Zheng; Yang Li 195 (ASIST, 2020)

Heterogeneous Graph Neural Networks to Predict What Happen Next. - Jianming Zheng; Fei Cai; Yanxiang Ling; Honghui Chen (COLING, 2020)

Incorporating Scenario Knowledge into A Unified Fine-tuning Architecture for Event Representation. - Jianming Zheng; Fei Cai; Honghui Chen (SIGIR, 2020)

GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition. - Yuedong Chen; Guoxian Song; Zhiwen Shao; Jianfei Cai 001; Tat-Jen Cham; Jianming Zheng (CoRR, 2020)

Pre-train, Interact, Fine-tune: a novel interaction representation for text classification. - Jianming Zheng; Fei Cai; Honghui Chen; Maarten de Rijke (Inf. Process. Manag., 2020)

Multi-view Interaction Learning for Few-Shot Relation Classification. - Yi Han; Linbo Qiao; Jianming Zheng; Zhigang Kan; Linhui Feng; Yifu Gao; Yu Tang; Qi Zhai; Dongsheng Li 001; Xiangke Liao (CIKM, 2021)

Metric Sentiment Learning for Label Representation. - Chengyu Song; Fei Cai; Jianming Zheng; Wanyu Chen; Zhiqiang Pan (CIKM, 2021)

Analysis and Decision-Making of Regional Economic Vitality. - Yupu Guo; Fei Cai; Honghui Chen; Peng Sun; Jianming Zheng; Duolong Zhang (ICISCAE (ACM), 2021)

Gland segmentation in pancreas histopathology images based on selective multi-scale attention. - Changxing Yang; Dehui Xiang; Yun Bian; Jianping Lu; Hui Jiang; Jianming Zheng (Image Processing, 2021)

Taxonomy-aware Learning for Few-Shot Event Detection. - Jianming Zheng; Fei Cai; Wanyu Chen; Wengqiang Lei; Honghui Chen (WWW, 2021)

A Novel Imbalanced Ensemble Learning in Software Defect Predication. - Jianming Zheng; Xingqi Wang 001; Dan Wei; Bin Chen; Yanli Shao (IEEE Access, 2021)

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering. - Fengbin Zhu; Wenqiang Lei; Chao Wang 049; Jianming Zheng; Soujanya Poria; Tat-Seng Chua (CoRR, 2021)

Towards better library services: an investigation of factors affecting tourists' satisfaction with "library + cultural tourism". - Ying Pan; Lia H. Sun; Heqing Yang; Jianming Zheng (Electron. Libr., 2021)

An entity-graph based reasoning method for fact verification. - Chonghao Chen; Fei Cai; Xuejun Hu; Jianming Zheng; Yanxiang Ling; Honghui Chen (Inf. Process. Manag., 2021)

A survey of script learning. - Yi Han; Linbo Qiao; Jianming Zheng; Hefeng Wu; Dongsheng Li 001; Xiangke Liao (Frontiers Inf. Technol. Electron. Eng., 2021)

CosG: A Graph-Based Contrastive Learning Method for Fact Verification. - Chonghao Chen; Jianming Zheng; Honghui Chen (Sensors, 2021)

DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction. - Mengru Wang; Jianming Zheng; Fei Cai; Taihua Shao; Honghui Chen (COLING, 2022)

PTAU: Prompt Tuning for Attributing Unanswerable Questions. - Jinzhi Liao; Xiang Zhao 002; Jianming Zheng; Xinyi Li 001; Fei Cai; Jiuyang Tang (SIGIR, 2022)

A Contrastive learning-based Task Adaptation model for few-shot intent recognition. - Xin Zhang 123; Fei Cai; Xuejun Hu; Jianming Zheng; Honghui Chen (Inf. Process. Manag., 2022)

Incorporating geometry knowledge into an incremental learning structure for few-shot intent recognition. - Xin Zhang 123; Miao Jiang; Honghui Chen; Jianming Zheng; Zhiqiang Pan (Knowl. Based Syst., 2022)

MultiPLe: Multilingual Prompt Learning for Relieving Semantic Confusions in Few-shot Event Detection. - Siyuan Wang; Jianming Zheng; Wanyu Chen; Fei Cai; Xueshan Luo (CIKM, 2023)

MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection. - Siyuan Wang; Jianming Zheng; Xuejun Hu; Fei Cai; Chengyu Song; Xueshan Luo (CoRR, 2023)

Disentangled Variational Auto-encoder Enhanced by Counterfactual Data for Debiasing Recommendation. - Yupu Guo; Fei Cai; Xin Zhang; Jianming Zheng; Honghui Chen (CoRR, 2023)

Exploring Internal and External Interactions for Semi-Structured Multivariate Attributes in Job-Resume Matching. - Taihua Shao; Chengyu Song; Jianming Zheng; Fei Cai; Honghui Chen (Int. J. Intell. Syst., 2023)

AugPrompt: Knowledgeable augmented-trigger prompt for few-shot event classification. - Chengyu Song; Fei Cai; Jianming Zheng; Xiang Zhao 002; Taihua Shao (Inf. Process. Manag., 2023)

Pairwise contrastive learning for sentence semantic equivalence identification with limited supervision. - Taihua Shao; Fei Cai; Jianming Zheng; Mengru Wang; Honghui Chen (Knowl. Based Syst., 2023)

TaxonPrompt: Taxonomy-aware curriculum prompt learning for few-shot event classification. - Chengyu Song; Fei Cai; Mengru Wang; Jianming Zheng; Taihua Shao (Knowl. Based Syst., 2023)

Sequence-aware Knowledge Distillation for a Lightweight Event Representation. - Jianming Zheng; Fei Cai; Yanxiang Ling; Honghui Chen (ACM Trans. Inf. Syst., 2023)

MsPrompt: Multi-step prompt learning for debiasing few-shot event detection. - Siyuan Wang; Jianming Zheng; Fei Cai; Chengyu Song; Xueshan Luo (Inf. Process. Manag., 2023)

Insider Threat Defense Strategies: Survey and Knowledge Integration. - Chengyu Song; Jingjing Zhang; Linru Ma; Xinxin Hu; Jianming Zheng; Lin Yang (KSEM (5), 2024)

Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection. - Chengyu Song; Linru Ma; Jianming Zheng; Jinzhi Liao; Hongyu Kuang; Lin Yang (CoRR, 2024)

Input-oriented demonstration learning for hybrid evidence fact verification. - Chonghao Chen; Wanyu Chen; Jianming Zheng; Aimin Luo; Fei Cai; Yijia Zhang (Expert Syst. Appl., 2024)

BP-MoE: Behavior Pattern-aware Mixture-of-Experts for Temporal Graph Representation Learning. - Chonghao Chen; Fei Cai; Wanyu Chen; Jianming Zheng; Xin Zhang 123; Aimin Luo (Knowl. Based Syst., 2024)

Multistructure Contrastive Learning for Pretraining Event Representation. - Jianming Zheng; Fei Cai; Jun Liu 002; Yanxiang Ling; Honghui Chen (IEEE Trans. Neural Networks Learn. Syst., 2024)

CoFF-CHP: coarse-to-fine filters with concept heuristic prompt for few-shot relation classification. - Peihong Li; Shengze Hu; Jianming Zheng; Taihua Shao; Mengru Wang; Fei Cai (Appl. Intell., 2024)

Triangle Matters! TopDyG: Topology-aware Transformer for Link Prediction on Dynamic Graphs. - Xin Zhang; Fei Cai; Jianming Zheng; Zhiqiang Pan; Wanyu Chen; Honghui Chen; Chonghao Chen (WWW, 2025)

Cascading multi-scale graph pre-training and prompt tuning for learning-based community search. - Chonghao Chen; Jianming Zheng; Wanyu Chen; Xin Zhang 123; Yupu Guo; Aimin Luo; Fei Cai (Inf. Process. Manag., 2025)

Information bottleneck-driven prompt on graphs for unifying downstream few-shot classification tasks. - Xin Zhang 123; Wanyu Chen; Fei Cai; Jianming Zheng; Zhiqiang Pan; Yupu Guo; Honghui Chen (Inf. Process. Manag., 2025)

Research on human behavior recognition in factory environment based on 3-2DCNN-BIGRU fusion network. - Zhenyu Wang; Jianming Zheng; Mingshun Yang; Weichao Shi; Yulong Su; Ting Chen; Chao Peng (Signal Image Video Process., 2025)