A heuristic ant algorithm for solving QoS multicast routing problem. - Chao-Hsien Chu; Junhua Gu; Xiangdan Hou; Qijun Gu (IEEE Congress on Evolutionary Computation, 2002)

Application of Data Mining in Fault Diagnosis Based on Ontology. - Xiangdan Hou; Junhua Gu; Xueqin Shen; Weili Yan (ICITA (1), 2005)

Research on Counting Method of Bus Passenger Flow Based on Kinematics of Human Body. - Fang Zhu; Jie Song; Ruixia Yang; Junhua Gu (CSSE (1), 2008)

Application of Ant Colony Optimization Algorithm to Multi-Join Query Optimization. - Nana Li; Yujuan Liu; Yongfeng Dong; Junhua Gu (ISICA, 2008)

Application of FDTD and Harmony Search Algorithm for Inverse Scattering Problem. - Jing Lu; Junhua Gu; Yang Lu (BIC-TA, 2013)

An improved harmony search algorithm for continuous optimization problems. - Jing Lu; Junhua Gu; Suqi Zhang; Zhan Jin (ICNC, 2013)

Wide input range 1.7μW 1.2kS/s resistive sensor interface circuit with 1 cycle/sample logarithmic sub-ranging. - Myungjoon Choi; Junhua Gu; David T. Blaauw; Dennis Sylvester (VLSIC, 2015)

8.5 A 60%-efficiency 20nW-500µW tri-output fully integrated power management unit with environmental adaptation and load-proportional biasing for IoT systems. - Wanyeong Jung; Junhua Gu; Paul D. Myers; Minseob Shim; Seokhyeon Jeong; Kaiyuan Yang 001; Myungjoon Choi; Zhiyoong Foo; Suyoung Bang; Sechang Oh 001; Dennis Sylvester; David T. Blaauw (ISSCC, 2016)

A Rehabilitation Planning Based on Kinect Somatosensory Recognition and Cloud Computing. - Hongpu Liu; Heyun Ma; Junhua Gu; Feng Wu; Junjie Lv (Trans. Edutainment, 2016)

Dual Self-Paced Graph Convolutional Network: Towards Reducing Attribute Distortions Induced by Topology. - Liang Yang 002; Zhiyang Chen; Junhua Gu; Yuanfang Guo (IJCAI, 2019)

Masked Graph Convolutional Network. - Liang Yang 002; Fan Wu; Yingkui Wang; Junhua Gu; Yuanfang Guo (IJCAI, 2019)

Pulmonary Nodules Image Retrieval via Supervised Deep Hashing. - Yongjun Qi; Junhua Gu; Juanping Geng; Zepei Tian; Yingru Su; Yajuan Zhang (ISICDM, 2019)

Separating the EoR Signal with a Convolutional Denoising Autoencoder: A Deep-learning-based Method. - Weitian Li; Haiguang Xu; Zhixian Ma; Ruimin Zhu; Dan Hu; Zhenghao Zhu; Junhua Gu; Chenxi Shan; Jie Zhu 006; Xiang-Ping Wu 003 (CoRR, 2019)

Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport. - Liang Yang 002; Junhua Gu; Chuan Wang 002; Xiaochun Cao; Lu Zhai; Di Jin 001; Yuanfang Guo (ICDM, 2020)

JANE: Jointly Adversarial Network Embedding. - Liang Yang 002; Yuexue Wang; Junhua Gu; Chuan Wang 002; Xiaochun Cao; Yuanfang Guo (IJCAI, 2020)

Graph Attention Topic Modeling Network. - Liang Yang 002; Fan Wu; Junhua Gu; Chuan Wang 002; Xiaochun Cao; Di Jin 001; Yuanfang Guo (WWW, 2020)

Pulmonary Nodules Detection Based on Deformable Convolution. - Junhua Gu; Zepei Tian; Yongjun Qi (IEEE Access, 2020)

Semi-Supervised Community Detection via Constraint Matrix Construction and Active Node Selection. - Suqi Zhang; Junyan Wu; Jianxin Li 001; Junhua Gu; Xianchao Tang; Xinyun Xu (IEEE Access, 2020)

PPAI: a web server for predicting protein-aptamer interactions. - Jianwei Li; Xiaoyu Ma; Xichuan Li; Junhua Gu (BMC Bioinform., 2020)

Supervised deep semantics-preserving hashing for real-time pulmonary nodule image retrieval. - Yongjun Qi; Junhua Gu; Yajuan Zhang; Gengshen Wu; Feng Wang (J. Real Time Image Process., 2020)

Indoor scene understanding via RGB-D image segmentation employing depth-based CNN and CRFs. - Wei Li 130; Junhua Gu; Yongfeng Dong; Yao Dong 005; Jungong Han (Multim. Tools Appl., 2020)

Pulmonary nodule image super-resolution using multi-scale deep residual channel attention network with joint optimization. - Yongjun Qi; Junhua Gu; Weixun Li; Zepei Tian; Yajuan Zhang; Juanping Geng (J. Supercomput., 2020)

Why Do Attributes Propagate in Graph Convolutional Neural Networks? - Liang Yang 002; Chuan Wang 002; Junhua Gu; Xiaochun Cao; Bingxin Niu (AAAI, 2021)

Heterogeneous Graph Information Bottleneck. - Liang Yang 002; Fan Wu; Zichen Zheng; Bingxin Niu; Junhua Gu; Chuan Wang 002; Xiaochun Cao; Yuanfang Guo (IJCAI, 2021)

A systematic evaluation of methods for cell phenotype classification using single-cell RNA sequencing data. - Xiaowen Cao; Li Xing; Elham Majd; Hua He; Junhua Gu; Xuekui Zhang (CoRR, 2021)

Graph-CAT: Graph Co-Attention Networks via local and global attribute augmentations. - Liang Yang 002; Weixun Li; Yuanfang Guo; Junhua Gu (Future Gener. Comput. Syst., 2021)

Stability Analysis for Interval Type-2 Fuzzy Systems by Applying Homogenous Polynomially Membership Functions Dependent Matrices and Switching Technique. - Likui Wang; Hamid Reza Karimi; Junhua Gu (IEEE Trans. Fuzzy Syst., 2021)

Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing. - Liang Yang 002; Cheng Chen; Weixun Li; Bingxin Niu; Junhua Gu; Chuan Wang 002; Dongxiao He; Yuanfang Guo; Xiaochun Cao (AAAI, 2022)

Difference Residual Graph Neural Networks. - Liang Yang 002; Weihang Peng; Wenmiao Zhou; Bingxin Niu; Junhua Gu; Chuan Wang 002; Yuanfang Guo; Dongxiao He; Xiaochun Cao (ACM Multimedia, 2022)

A Control Scheme for Teleoperation Robot Arms Based on Markov Jump Systems with Time-delay. - Yiwei Zhao; Junhua Gu; Hongxiang Li (RCAR, 2022)

Graph Neural Networks Beyond Compromise Between Attribute and Topology. - Liang Yang 002; Wenmiao Zhou; Weihang Peng; Bingxin Niu; Junhua Gu; Chuan Wang 002; Xiaochun Cao; Dongxiao He (WWW, 2022)

Energy-Efficient Sensory Data Collection Based on Spatiotemporal Correlation in IoT Networks. - Jine Tang; Shuang Wu; Lingxiao Wei; Weijing Liu; Taishan Qin; Zhangbing Zhou; Junhua Gu (Int. J. Crowd Sci., 2022)

Self-Supervised Graph Representation Learning via Information Bottleneck. - Junhua Gu; Zichen Zheng; Wenmiao Zhou; Yajuan Zhang; Zhengjun Lu; Liang Yang (Symmetry, 2022)

Stability and Stabilization for Fuzzy Systems With Time Delay by Applying Polynomial Membership Function and Iteration Algorithm. - Likui Wang; Hak-Keung Lam; Junhua Gu (IEEE Trans. Cybern., 2022)

Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model. - Liang Yang 002; Yuanfang Guo; Junhua Gu; Di Jin 001; Bo Yang 002; Xiaochun Cao (IEEE Trans. Cybern., 2022)

Distributed Task Offloading Method Based on Federated Reinforcement Learning in Vehicular Networks with Incomplete Information. - Rui Cao; Zhengchang Song; Bingxin Niu; Junhua Gu; Chunjie Li (ICA3PP (4), 2023)

A Hybrid Active and Passive Cache Method Based on Deep Learning in Edge Computing. - Zhengchang Song; Rui Cao; Bingxin Niu; Junhua Gu; Chunjie Li (ICA3PP (4), 2023)

Period Extraction for Traffic Flow Prediction. - Qingyuan Wang; Chen Chen; Long Zhang; Xiaoxuan Song; Honggang Li; Qingjie Zhao; Bingxin Niu; Junhua Gu (ICA3PP (3), 2023)

Blockchain search engine: Its current research status and future prospect in Internet of Things network. - Jine Tang; Xinming Lu; Yong Xiang 001; Chaochen Shi; Junhua Gu (Future Gener. Comput. Syst., 2023)

Correlation Anomaly Detection With Multiple Primary Attributes in Collaborative Device-Edge-Cloud Network. - Jine Tang; Lingxiao Wei; Weijing Liu; Zhangbing Zhou; Junhua Gu (IEEE Internet Things J., 2023)

Optimization Search Strategy for Task Offloading From Collaborative Edge Computing. - Jine Tang; Taishan Qin; Yong Xiang 001; Zhangbing Zhou; Junhua Gu (IEEE Trans. Serv. Comput., 2023)

Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization. - Juan Gao; Xinwei Liu; Yu-Hong Dai; Yakui Huang; Junhua Gu (Comput. Optim. Appl., 2023)

Dynamic Correlation Adjacency-Matrix-Based Graph Neural Networks for Traffic Flow Prediction. - Junhua Gu; Zhihao Jia; Taotao Cai; Xiangyu Song; Adnan Mahmood (Sensors, 2023)

Anomaly Detection in Social-Aware IoT Networks. - Jine Tang; Taishan Qin; Deliang Kong; Zhangbing Zhou; Xiaocui Li; Yongdong Wu; Junhua Gu (IEEE Trans. Netw. Serv. Manag., 2023)

Disturbances rejection for fuzzy systems with time-varying delay and states constraints by applying observer-based invariant set switching. - Likui Wang; Lei Zhang; Xiangpeng Xie 001; Xiaodong Liu 001; Junhua Gu (Inf. Sci., 2023)

F3: A Compiler for Feature Engineering. - Weixi Ma; Siyu Wang; Arnaud Venet; Junhua Gu; Subbu Subramanian; Rocky Liu; Yafei Yang; Daniel P. Friedman (FUNARCH, 2024)

MDCGA-Net: Multiscale Direction Context-Aware Network With Global Attention for Building Extraction From Remote Sensing Images. - Penghui Niu; Junhua Gu; Yajuan Zhang; Ping Zhang 025; Taotao Cai; Wenjia Xu; Jungong Han (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation. - Zhenghua Xu 001; Biao Tian; Shijie Liu; Xiangtao Wang; Di Yuan; Junhua Gu; Junyang Chen 001; Thomas Lukasiewicz; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2024)

PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention. - Zhenghua Xu 001; Zhoutao Yu; Hexiang Zhang; Junyang Chen 001; Junhua Gu; Thomas Lukasiewicz; Victor C. M. Leung (IEEE Trans. Netw. Sci. Eng., 2024)

Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning. - Zhenghua Xu 001; Shengxin Wang; Gang Xu; Yunxin Liu; Miao Yu; Hongwei Zhang; Thomas Lukasiewicz; Junhua Gu (Comput. Biol. Medicine, 2024)

An Elite-Guided Large-Scale Multi-Objective Evolutionary Algorithm Driven by Denoising Diffusion Probabilistic Models. - Tingting Dang; Wenxuan Fang; Jiaqiang Li; Qiqi Liu; Junhua Gu; Yaochu Jin (CEC, 2025)

GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND). - Rafael Alves Batista; Aurélien Benoit-Lévy; Teresa Bister; Martina Bohacova; Mauricio Bustamante; Washington Carvalho; Yiren Chen; LingMei Cheng; Simon Chiche; Jean-Marc Colley; Pablo Correa; Nicoleta Cucu Laurenciu; et al. (Comput. Phys. Commun., 2025)

Novel machine learning model for predicting cancer drugs' susceptibilities and discovering novel treatments. - Xiaowen Cao; Li Xing; Hao Ding; He Li; Yushan Hu; Yao Dong; Hua He; Junhua Gu; Xuekui Zhang (J. Biomed. Informatics, 2025)

Asynchronous Switching Control for Fuzzy Markov Jump Systems With Periodically Varying Delay and Its Application to Electronic Circuits. - Yinghong Zhao; Likui Wang; Xiangpeng Xie 001; Hak-Keung Lam; Junhua Gu (IEEE Trans Autom. Sci. Eng., 2025)

Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion. - Wenying He; Jieling Huang; Junhua Gu; Ji Zhang; Yude Bai (CoRR, 2025)