The sum rate optimality of the naïve FDM for the Gaussian Interference Channel within a computable Han-Kobayashi subregion. - Fangfang Zhu; Biao Chen 001 (CISS, 2010)

The Han-Kobayashi region for a class of Gaussian interference channels with mixed interference. - Yu Zhao 030; Fangfang Zhu; Biao Chen 001 (ISIT, 2012)

On the sum capacity of the discrete memoryless interference channel with one-sided weak interference and mixed interference. - Fangfang Zhu; Biao Chen 001 (ISIT, 2012)

On the Sum Capacity of the Discrete Memoryless Interference Channel with One-Sided Weak Interference and Mixed Interference - Fangfang Zhu; Biao Chen (CoRR, 2012)

Capacity Bounds and Sum Rate Capacities of a CLass of Discrete Memoryless Interference Channels - Fangfang Zhu; Biao Chen (CoRR, 2013)

A software radio design for communications in uncoordinated networks. - Kapil M. Borle; Fangfang Zhu; Yu Zhao 030; Biao Chen 001 (SPAWC, 2014)

Capacity Bounds and Sum Rate Capacities of a Class of Discrete Memoryless Interference Channels. - Fangfang Zhu; Biao Chen 001 (IEEE Trans. Inf. Theory, 2014)

On the Capacity of Multiple-Access-Z-Interference Channels. - Fangfang Zhu; Xiaohu Shang; Biao Chen 001; H. Vincent Poor (IEEE Trans. Inf. Theory, 2014)

Gene Functional Module Discovery via Integrating Gene Expression and PPI Network Data. - Fangfang Zhu; Juan Liu 007; Wenwen Min (ICIC (2), 2019)

Instructors' pointing gestures improve learning regardless of their use of directed gaze in video lectures. - Zhongling Pi; Yi Zhang 106; Fangfang Zhu; Ke Xu; Jiumin Yang; Weiping Hu (Comput. Educ., 2019)

Instructors' gestures enhance their teaching experience and performance while recording video lectures. - Jiumin Yang; Fangfang Zhu; Peiyu Guo; Zhongling Pi (J. Comput. Assist. Learn., 2020)

cDNA cloning, expression and bioinformatical analysis of Tssk genes in tree shrews. - Xue Li; Yuanji Li; Wenfei Song; Daohao Xie; Fangfang Zhu; Minghua Yang; Yahui Li (Comput. Biol. Chem., 2021)

A robust but straightforward phenology-based ginger mapping algorithm by using unique phenology features, and time-series Sentinel-2 images. - Yuanyuan Di; Jinwei Dong; Fangfang Zhu; Ping Fu (Comput. Electron. Agric., 2022)

An Anomaly Detection Model Based on CNN-VAE for IoT Devices. - Yichen Liu; Huajian Zhang; Yuzhen Huang; Fangfang Zhu; Yiqing Liang; Daqing Gao (CSAI, 2023)

Do adults and children learn differently from video lectures with an instructor's deictic gestures? - Jiumin Yang; Fangfang Zhu; Yirui Jiang; Zhongling Pi (Educ. Inf. Technol., 2023)

Knowledge graph representation learning with simplifying hierarchical feature propagation. - Zhifei Li; Qi Zhang; Fangfang Zhu; Duantengchuan Li; Chao Zheng; Yan Zhang (Inf. Process. Manag., 2023)

The mutual influence of an instructor's eye gaze and facial expression in video lectures. - Zhongling Pi; Yi Zhang 106; Fangfang Zhu; Louqi Chen; Xin Guo 015; Jiumin Yang (Interact. Learn. Environ., 2023)

Analyzing execution path non-determinism of the Linux kernel in different scenarios. - Yucong Chen; Xianzhi Tang; Shuaixin Xu; Fangfang Zhu; Qingguo Zhou; Tien-Hsiung Weng (Connect. Sci., 2023)

Multi-Slice Spatial Transcriptomics Data Integration Analysis with STG3Net. - Donghai Fang; Fangfang Zhu; Wenwen Min (BIBM, 2024)

Masked Graph Autoencoders with Contrastive Augmentation for Spatially Resolved Transcriptomics Data. - Donghai Fang; Fangfang Zhu; Dongting Xie; Wenwen Min (BIBM, 2024)

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. - Wenwen Min; Zhen Wang; Fangfang Zhu; Taosheng Xu; Guangsheng Wu; Shunfang Wang (BIBM, 2024)

High-Resolution Spatial Transcriptomics from Histology Images using HisToSGE. - Zhiceng Shi; Shuailin Xue; Fangfang Zhu; Wenwen Min (BIBM, 2024)

Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis. - Xinyuan Shi; Fangfang Zhu; Wenwen Min (BIBM, 2024)

Contrastive Masked Graph Autoencoders for Spatial Transcriptomics Data Analysis. - Donghai Fang; Yichen Gao; Zhaoying Wang; Fangfang Zhu; Wenwen Min (ISBRA (1), 2024)

Spatial Gene Expression Prediction from Histology Images with STco. - Zhiceng Shi; Fangfang Zhu; Changmiao Wang; Wenwen Min (ISBRA (1), 2024)

stEnTrans: Transformer-Based Deep Learning for Spatial Transcriptomics Enhancement. - Shuailin Xue; Fangfang Zhu; Changmiao Wang; Wenwen Min (ISBRA (1), 2024)

SpaDiT: diffusion transformer for spatial gene expression prediction using scRNA-seq. - Xiaoyu Li; Fangfang Zhu; Wenwen Min (Briefings Bioinform., 2024)

Inferring single-cell resolution spatial gene expression via fusing spot-based spatial transcriptomics, location, and histology using GCN. - Shuailin Xue; Fangfang Zhu; Jinyu Chen; Wenwen Min (Briefings Bioinform., 2024)

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data. - Wenwen Min; Zhen Wang; Fangfang Zhu; Taosheng Xu; Shunfang Wang (CoRR, 2024)

oBABC: A one-dimensional binary artificial bee colony algorithm for binary optimization. - Fangfang Zhu; Zhenhao Shuai; Yuer Lu; Honghong Su; Rongwen Yu; Xiang Li; Qi Zhao; Jianwei Shuai (Swarm Evol. Comput., 2024)

MEAs-Filter: a novel filter framework utilizing evolutionary algorithms for cardiovascular diseases diagnosis. - Fangfang Zhu; Ji Ding; Xiang Li; Yuer Lu; Xiao Liu 004; Frank Jiang 001; Qi Zhao; Honghong Su; Jianwei Shuai (Health Inf. Sci. Syst., 2024)

VTrans: A VAE-Based Pre-Trained Transformer Method for Microbiome Data Analysis. - Xinyuan Shi; Fangfang Zhu; Wenwen Min (J. Comput. Biol., 2025)