When is multi-version checkpointing needed? - Guoming Lu; Ziming Zheng; Andrew A. Chien (FTXS, 2013)

Integrating Parallel and Distributed Computing Topics into an Undergraduate CS Curriculum at UESTC. - Guoming Lu; Jie Xu; Jieyan Liu; Bo Dai 006; Shenglin Gui; Siyu Zhan (IPDPS Workshops, 2015)

面向大数据分布式存储的动态负载均衡算法 (Dynamic Load Balance Algorithm for Big-data Distributed Storage). - Lizong Zhang; Yuan Cui; Guangchun Luo; Aiguo Chen; Guoming Lu; Xiaoxue Wang (计算机科学, 2017)

An Anomaly Detection Algorithm for Spatiotemporal Data Based on Attribute Correlation. - Aiguo Chen; Yuanfan Chen; Guoming Lu; Lizong Zhang; Jiacheng Luo (MUE/FutureTech, 2018)

A Long-Term Highway Traffic Flow Prediction Method for Holiday. - Guoming Lu; Jiaxin Li; Jian Chen; Aiguo Chen; Jianbin Gu; Ruiting Pang (MUE/FutureTech, 2018)

An Improved Active Incremental Fine-Tuning Method Using Outlier Detection Based on the Normal Distribution. - Guiduo Duan; Zipeng Wang; Lin Sun; Pei Ruan; Guoming Lu (iThings/GreenCom/CPSCom/SmartData, 2019)

Cascade Morphological n-Gram Can Improve Chinese Words Representation Learning. - Haobo Yang; Zongyang Xiong; Jiexin Zhang; Ke Qin; Guoming Lu (iThings/GreenCom/CPSCom/SmartData, 2019)

Location Privacy-Aware Task Bidding and Assignment for Mobile Crowd-Sensing. - Ke Yan 002; Guoming Lu; Guangchun Luo; Xu Zheng 001; Ling Tian; Akshita Maradapu Vera Venkata Sai (IEEE Access, 2019)

A cross-layer QoS model for space DTN. - Aiguo Chen; Xuemei Li; Guoming Lu; Guangchun Luo (Int. J. High Perform. Comput. Netw., 2019)

A Fast Particle Swarm Optimization Algorithm by Refining the Global Best Solution. - Wang Hu 001; Yu Zhang 191; Junjie Hu 004; Yan Qi; Guoming Lu (APIT, 2020)

Seed-free Graph De-anonymiztiation with Adversarial Learning. - Kaiyang Li 001; Guoming Lu; Guangchun Luo; Zhipeng Cai 001 (CIKM, 2020)

Dynamic and semantic-aware access-control model for privacy preservation in multiple data center environments. - Aiguo Chen; Guoming Lu; Hanwen Xing; Yuan Xie; Shunwei Yuan (Int. J. Distributed Sens. Networks, 2020)

Direction-sensitive relation extraction using Bi-SDP attention model. - Hailin Wang; Ke Qin; Guoming Lu; Guangchun Luo; Guisong Liu (Knowl. Based Syst., 2020)

Relation Extraction: A Brief Survey on Deep Neural Network Based Methods. - Hailin Wang; Guoming Lu; Jin Yin; Ke Qin (ICSIM, 2021)

A hashtag-based sub-event detection framework for social media. - Guoming Lu; Yaqiao Mu; Jianbin Gu; Franck A. P. Kouassi; Chenxi Lu; Ruozhou Wang; Aiguo Chen (Comput. Electr. Eng., 2021)

Deep Neural Network Based Relation Extraction: An Overview. - Hailin Wang; Ke Qin; Rufai Yusuf Zakari; Guisong Liu; Guoming Lu (CoRR, 2021)

ToAM: a task-oriented authentication model for UAVs based on blockchain. - Aiguo Chen; Kun Peng; Zexin Sha; Xincen Zhou; Zhen Yang; Guoming Lu (EURASIP J. Wirel. Commun. Netw., 2021)

Unsupervised domain adaptation for person re-identification with iterative soft clustering. - Jean-Paul Ainam; Ke Qin; Jim Wilson Owusu; Guoming Lu (Knowl. Based Syst., 2021)

Document-level relation extraction using evidence reasoning on RST-GRAPH. - Hailin Wang; Ke Qin; Guoming Lu; Jin Yin; Rufai Yusuf Zakari; Jim Wilson Owusu (Knowl. Based Syst., 2021)

A Sampling-Based Method for Highly Efficient Privacy-Preserving Data Publication. - Guoming Lu; Xu Zheng 001; Jingyuan Duan; Ling Tian; Xia Wang (Wirel. Commun. Mob. Comput., 2021)

An efficient network behavior anomaly detection using a hybrid DBN-LSTM network. - Aiguo Chen; Yang Fu; Xu Zheng; Guoming Lu (Comput. Secur., 2022)

Entity alignment via knowledge embedding and type matching constraints for knowledge graph inference. - Guoming Lu; Lizong Zhang; Minjie Jin; Pancheng Li; Xi Huang (J. Ambient Intell. Humaniz. Comput., 2022)

Deep neural network-based relation extraction: an overview. - Hailin Wang; Ke Qin; Rufai Yusuf Zakari; Guoming Lu; Jin Yin (Neural Comput. Appl., 2022)

Feature-level interpolation-based GAN for image super-resolution. - Lizong Zhang; Wei Zhang; Guoming Lu; Pengcheng Yang; Zhihong Rao (Pers. Ubiquitous Comput., 2022)

An Extractive Text Summarization Based on Reinforcement Learning. - Kai Du; Guoming Lu; Ke Qin (ICSIM, 2023)

A causal-based symbolic reasoning framework for uncertain knowledge graphs. - Guoming Lu; Hao Zhang; Ke Qin; Kai Du (Comput. Electr. Eng., 2023)

Intelligent control method of main road traffic flow based on multi-sensor information fusion. - Zhao Deng; Guoming Lu (Clust. Comput., 2023)

Backdoor Attack Against Vision Transformers via Attention Gradient-Based Image Erosion. - Ji Guo; Hongwei Li 001; Wenbo Jiang 001; Guoming Lu (GLOBECOM, 2024)

Cross-Domain Feature Semantic Calibration for Zero-Shot Sketch-Based Image Retrieval. - Xuewan He; Jielei Wang; Qianxin Xia; Guoming Lu; Yuan Tang; Hongxia Lu (ICME, 2024)

Backdoor Attacks against Hybrid Classical-Quantum Neural Networks. - Ji Guo; Wenbo Jiang 001; Rui Zhang 003; Wenshu Fan; Jiachen Li 002; Guoming Lu (CoRR, 2024)

One Prompt to Verify Your Models: Black-Box Text-to-Image Models Verification via Non-Transferable Adversarial Attacks. - Ji Guo; Wenbo Jiang 001; Rui Zhang 086; Guoming Lu; Hongwei Li 001 (CoRR, 2024)

TrojanEdit: Backdooring Text-Based Image Editing Models. - Ji Guo; Peihong Chen; Wenbo Jiang 001; Guoming Lu (CoRR, 2024)

Computation Offloading in Resource-Constrained Multi-Access Edge Computing. - Kexin Li; Xingwei Wang 001; Qiang He 002; Jielei Wang; Jie Li; Siyu Zhan; Guoming Lu; Schahram Dustdar (IEEE Trans. Mob. Comput., 2024)

BDCKD: Unlocking the Power of Brownian Distance Covariance in Knowledge Distillation. - Guoming Lu; Heng Yin; Zhiyong Shu; Jielei Wang; Guangchun Luo (ICASSP, 2025)

A Context-Aware Multimodal Fusion DST Model: Advancing Task-Oriented Dialogue Systems. - Dali Zhao; Zhiyong Shu; Lei Feng; Jielei Wang; Guoming Lu (ICSIM, 2025)

SRMamba-T: Exploring the hybrid Mamba-Transformer network for Single Image Super-Resolution. - Cencen Liu; Dongyang Zhang 001; Guoming Lu; Wen Yin; Jielei Wang; Guangchun Luo (Neurocomputing, 2025)

Backdoor attacks against Hybrid Classical-Quantum Neural Networks. - Ji Guo; Wenbo Jiang 001; Rui Zhang 003; Wenshu Fan; Jiachen Li 002; Guoming Lu; Hongwei Li 001 (Neural Networks, 2025)