A Two-Phase Generation Model for Automatic Image Annotation. - Liang Xie 001; Peng Pan 001; Yansheng Lu; Shixun Wang; Tong Zhu; Haijiao Xu; Deng Chen (ISM, 2013)

A semantic model for cross-modal and multi-modal retrieval. - Liang Xie 001; Peng Pan 001; Yansheng Lu (ICMR, 2013)

A Cross-modal Multi-task Learning Framework for Image Annotation. - Liang Xie 001; Peng Pan 001; Yansheng Lu; Shixun Wang (CIKM, 2014)

Bimodal Learning for Multi-concept Image Query. - Haijiao Xu; Peng Pan 001; Yansheng Lu; Chunyan Xu; Deng Chen (CIS, 2014)

An adaptive multiclass boosting algorithm for classification. - Shixun Wang; Peng Pan 001; Yansheng Lu (IJCNN, 2014)

Improving Automatic Image Annotation with Google Semantic Link. - Haijiao Xu; Peng Pan 001; Yansheng Lu; Chunyan Xu; Deng Chen (SKG, 2014)

Multiclass Boosting Framework for Multimodal Data Analysis. - Shixun Wang; Peng Pan 001; Yansheng Lu; Sheng Jiang (MMM (2), 2015)

Cross-Modal Self-Taught Learning for Image Retrieval. - Liang Xie 001; Peng Pan 001; Yansheng Lu; Sheng Jiang (MMM (1), 2015)

Image retrieval based on multi-concept detector and semantic correlation. - Haijiao Xu; Changqin Huang; Peng Pan 001; Gansen Zhao; Chunyan Xu; Yansheng Lu; Deng Chen; Jiyi Wu (Sci. China Inf. Sci., 2015)

Analyzing semantic correlation for cross-modal retrieval. - Liang Xie 001; Peng Pan 001; Yansheng Lu (Multim. Syst., 2015)

Improving cross-modal and multi-modal retrieval combining content and semantics similarities with probabilistic model. - Shixun Wang; Peng Pan 001; Yansheng Lu; Liang Xie 001 (Multim. Tools Appl., 2015)

Markov random field based fusion for supervised and semi-supervised multi-modal image classification. - Liang Xie 001; Peng Pan 001; Yansheng Lu (Multim. Tools Appl., 2015)

Image auto-annotation via concept interdependency network. - Haijiao Xu; Peng Pan 001; Chunyan Xu; Yansheng Lu; Deng Chen (Multim. Tools Appl., 2016)

Cross-Modal Self-Taught Hashing for large-scale image retrieval. - Liang Xie 001; Lei Zhu 002; Peng Pan 001; Yansheng Lu (Signal Process., 2016)

一种自适应的多类Boosting分类算法 (Adaptive Multiclass Boosting Classification Algorithm). - Shixun Wang; Peng Pan 001; Deng Chen; Yansheng Lu (计算机科学, 2017)

Semi-supervised semantic factorization hashing for fast cross-modal retrieval. - Jiale Wang; Guohui Li 001; Peng Pan 001; Xiaosong Zhao (Multim. Tools Appl., 2017)

CS-DeCNN: Deconvolutional Neural Network for Reconstructing Images from Compressively Sensed Measurements. - Wentao Wan 001; Guohui Li 001; Peng Pan 001 (PCM (1), 2018)

A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio Management. - Si Shi; Jianjun Li; Guohui Li 001; Peng Pan 001 (CIKM, 2019)

BDMF: A Biased Deep Matrix Factorization Model for Recommendation. - Changsheng Ma; Jianjun Li; Peng Pan 001; Guohui Li 001; Junbo Du (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Multimodal Multiclass Boosting and its Application to Cross-modal Retrieval. - Shixun Wang; Zhi Dou; Deng Chen; Hairong Yu; Yuan Li; Peng Pan 001 (Neurocomputing, 2019)

Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks. - Meng Liu; Jianjun Li; Guohui Li 001; Peng Pan 001 (CIKM, 2020)

A Text-Based Deep Reinforcement Learning Framework for Interactive Recommendation. - Chaoyang Wang 002; Zhiqiang Guo; Jianjun Li; Peng Pan 001; Guohui Li 001 (ECAI, 2020)

Heterogeneous Graph Collaborative Filtering using Textual Information. - Chaoyang Wang 002; Zhiqiang Guo; Guohui Li 001; Jianjun Li; Peng Pan 001; Ke Liu (CoRR, 2020)

XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio Management. - Si Shi; Jianjun Li; Guohui Li 001; Peng Pan 001; Ke Liu (CIKM, 2021)

DiCGAN: A Dilated Convolutional Generative Adversarial Network for Recommender Systems. - Zhiqiang Guo; Chaoyang Wang 002; Jianjun Li; Guohui Li 001; Peng Pan 001 (DASFAA (3), 2021)

A light heterogeneous graph collaborative filtering model using textual information. - Chaoyang Wang 002; Zhiqiang Guo; Guohui Li 001; Jianjun Li; Peng Pan 001; Ke Liu (Knowl. Based Syst., 2021)

A Text-based Deep Reinforcement Learning Framework Using Self-supervised Graph Representation for Interactive Recommendation. - Chaoyang Wang 002; Zhiqiang Guo; Jianjun Li; Guohui Li 001; Peng Pan 001 (Trans. Data Sci., 2021)

GPM: A graph convolutional network based reinforcement learning framework for portfolio management. - Si Shi; Jianjun Li; Guohui Li 001; Peng Pan 001; Qi Chen 017; Qing Sun (Neurocomputing, 2022)

SDNN: Symmetric deep neural networks with lateral connections for recommender systems. - Runzhi Xu; Jianjun Li; Guohui Li 001; Peng Pan 001; Quan Zhou 003; Chaoyang Wang 002 (Inf. Sci., 2022)

Graph-ICF: Item-based collaborative filtering based on graph neural network. - Meng Liu; Jianjun Li; Ke Liu; Chaoyang Wang 002; Peng Pan 001; Guohui Li 001; Yongjing Cheng; Guohui Jia; Wei Xie (Knowl. Based Syst., 2022)

Cross Domain Deep Collaborative Filtering without Overlapping Data. - Meng Liu; Jianjun Li; GuoHui Li 001; Zhiqiang Guo; Chaoyang Wang 002; Peng Pan 001 (IJCNN, 2023)

CTSARF: A Chinese Text Similarity Analysis Model based on Residual Fusion. - Ling Yuan; Sida Gao; Peng Pan 001 (Neurocomputing, 2023)