Pulse position checking-based steganalysis of G.723.1 compressed speech in VoIP. - Jicang Lu; Yongfeng Huang 001; Fenlin Liu; Xiangyang Luo (Int. J. Multim. Intell. Secur., 2011)

Embedding Ratio Estimation of MB2 Based on Relativity of Intra-block Pixels. - Jicang Lu; Fenlin Liu; Sijin Qian; Hui Dai; Jingning Chen (ISPA, 2012)

Parameter-estimation and algorithm-selection based United-Judgment for image steganalysis. - Jicang Lu; Fenlin Liu; Xiangyang Luo; Chunfang Yang (Multim. Tools Appl., 2012)

Steganalysis of F5-like steganography based on selection of joint distribution features. - Yuan Liu; Xiangyang Luo; Jicang Lu; Daofu Gong (ICIMCS, 2013)

Selection of image features for steganalysis based on the Fisher criterion. - Jicang Lu; Fenlin Liu; Xiangyang Luo (Digit. Investig., 2014)

Recognizing F5-like Stego images from Multi-class JPEG Stego Images. - Jicang Lu; Fenlin Liu; Xiangyang Luo (KSII Trans. Internet Inf. Syst., 2014)

A study on JPEG steganalytic features: Co-occurrence matrix vs. Markov transition probability matrix. - Jicang Lu; Fenlin Liu; Xiangyang Luo (Digit. Investig., 2015)

Steganalysis of perturbed quantization steganography based on the enhanced histogram features. - Xiaofeng Song; Fenlin Liu; Xiangyang Luo; Jicang Lu; Yi Zhang 026 (Multim. Tools Appl., 2015)

Steganalysis of HUGO steganography based on parameter recognition of syndrome-trellis-codes. - Xiangyang Luo; Xiaofeng Song; Xiaolong Li 001; Weiming Zhang 001; Jicang Lu; Chunfang Yang; Fenlin Liu (Multim. Tools Appl., 2016)

Steganalysis Feature Subspace Selection Based on Fisher Criterion. - Chunfang Yang; Yi Zhang 026; Ping Wang 010; Xiangyang Luo; Fenlin Liu; Jicang Lu (DSAA, 2017)

Recognizing Substitution Steganography of Spatial Domain Based on the Characteristics of Pixels Correlation. - Zhe Chen; Jicang Lu; Pengfei Yang; Xiangyang Luo (Int. J. Digit. Crime Forensics, 2017)

Steganalysis of content-adaptive JPEG steganography based on Gauss partial derivative filter bank. - Yi Zhang 026; Fenlin Liu; Chunfang Yang; Xiangyang Luo; Xiaofeng Song; Jicang Lu (J. Electronic Imaging, 2017)

Optimization of rich model based on fisher criterion for image steganalysis. - Yiqin Zhang; Fenlin Liu; Hongyan Jia; Jicang Lu; Chunfang Yang (ICACI, 2018)

A Word Embeddings Training Method Based on Modified Skip-Gram and Align. - Chang-shuai Xing; Gang Zhou; Ji-Cang Lu; Feng-juan Zhang (ICCCS (6), 2018)

Extracting hidden messages of MLSB steganography based on optimal stego subset. - Chunfang Yang; Xiangyang Luo; Jicang Lu; Fenlin Liu (Sci. China Inf. Sci., 2018)

Quantitative steganalysis of JPEG additive steganography based on boundary effect. - Jicang Lu; Chunfang Yang; Fenlin Liu; Xiangyang Luo (J. Electronic Imaging, 2018)

A Novel Malware Detection and Classification Method Based on Capsule Network. - Shu-Wei Wang; Gang Zhou; Ji-Cang Lu; Feng-juan Zhang (ICAIS (1), 2019)

Steganalysis of Content-Adaptive Steganography Based on Massive Datasets Pre-Classification and Feature Selection. - Jicang Lu; Gang Zhou; Chunfang Yang; Zhenyu Li 004; Mingjing Lan (IEEE Access, 2019)

Payload location for JPEG image steganography based on co-frequency sub-image filtering. - Jie Wang; Chunfang Yang; Ping Wang 010; Xiaofeng Song; Jicang Lu (Int. J. Distributed Sens. Networks, 2020)

A Survey on Knowledge Graph Representation Learning with Text Information. - Ling Wang; Jicang Lu; Gang Zhou (WSSE, 2021)

Topic-Aware Contrastive Learning and K-Nearest Neighbor Mechanism for Stance Detection. - Yepeng Sun; Jicang Lu; Ling Wang; Shunhang Li; Ningbo Huang (CIKM, 2023)

The Causal Reasoning Ability of Open Large Language Model: A Comprehensive and Exemplary Functional Testing. - Shunhang Li; Gang Zhou; Zhibo Li; Ji-Cang Lu; Ningbo Huang (QRS, 2023)

Knowledge graph representation learning model based on meta-information and logical rule enhancements. - Ling Wang; Jicang Lu; Yepeng Sun (J. King Saud Univ. Comput. Inf. Sci., 2023)

Topic enhanced sentiment co-attention BERT. - Shiyu Wang; Gang Zhou; Jicang Lu; Jing Chen; Yi Xia (J. Intell. Inf. Syst., 2023)

CLGR-Net: a collaborative local-global reasoning network for document-level relation extraction. - Xiaoyao Ding; Gang Zhou; Jicang Lu; Taojie Zhu (J. Supercomput., 2023)

Mining heuristic evidence sentences for more interpretable document-level relation extraction. - Taojie Zhu; Jicang Lu; Gang Zhou; Xiaoyao Ding; Panpan Guo; Hao Wu (J. King Saud Univ. Comput. Inf. Sci., 2023)

Few-Shot Representation Learning for Knowledge Graph with Variational Auto-encoder Data Augmentation. - Ling Wang; Jicang Lu; Yinpeng Lu; Yan Liu (ICIC (12), 2024)

Enhancing Document-Level Relation Extraction with Entity Pronoun Resolution and Relation Correlation. - Qiankun Pi; Jicang Lu; Yepeng Sun; Taojie Zhu; Yi Xia; Chenguang Yang 011 (NLPCC (2), 2024)

Paper Recommendation Using SPECTER with Low-Rank and Sparse Matrix Factorization. - Panpan Guo; Gang Zhou; Jicang Lu; Zhufeng Li; Taojie Zhu (KSII Trans. Internet Inf. Syst., 2024)

Relation semantic fusion in subgraph for inductive link prediction in knowledge graphs. - Hongbo Liu; Jicang Lu; Tianzhi Zhang; Xuemei Hou; Peng An (PeerJ Comput. Sci., 2024)

Enhancing cross-evidence reasoning graph for document-level relation extraction. - Qiankun Pi; Jicang Lu; Taojie Zhu; Yepeng Sun; Shunhang Li; Jiaxing Guo (PeerJ Comput. Sci., 2024)

Text-image semantic relevance identification for aspect-based multimodal sentiment analysis. - Tianzhi Zhang; Gang Zhou; Jicang Lu; Zhibo Li; Hao Wu; Shuo Liu (PeerJ Comput. Sci., 2024)

Pre-trained Semantic Interaction based Inductive Graph Neural Networks for Text Classification. - Shiyu Wang; Gang Zhou; Jicang Lu; Jing Chen; Ningbo Huang (COLING, 2025)

Stance Detection for Social Text: Inference-Enhanced Multi-Task Learning with Machine-Annotated Supervision. - Qiankun Pi; Jicang Lu; Yepeng Sun; Qinlong Fan; Xukun Zhou; Shouxin Shang (ICASSP, 2025)

Knowledge-aware user multi-interest modeling method for news recommendation. - Zong Zuo; Jicang Lu; Lei Tan; Daofu Gong; Jing Chen; Fenlin Liu (Knowl. Inf. Syst., 2025)