Mining of Attack Models in IDS Alerts from Network Backbone by a Two-stage Clustering Method. - Lin-Bo Qiao; Bo-Feng Zhang; Zhiquan Lai; Jinshu Su (IPDPS Workshops, 2012)

Online Mining of Attack Models in IDS Alerts from Network Backbone by a Two-Stage Clustering Method. - Lin-Bo Qiao; Bo-Feng Zhang; Rui-Yuan Zhao; Jinshu Su (CSS, 2013)

Sparse Subspace Clustering for Incomplete Images. - Xiao Wen; Linbo Qiao; Shiqian Ma; Wei Liu 005; Hong Cheng 001 (ICCV Workshops, 2015)

Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization. - Linbo Qiao; Bofeng Zhang; Jinshu Su; Xicheng Lu (ACML, 2016)

An Efficient Algorithm for Tensor Principal Component Analysis via Proximal Linearized Alternating Direction Method of Multipliers. - Linbo Qiao; Bofeng Zhang; Lei Zhuang; Jinshu Su (CBD, 2016)

On Stochastic Primal-Dual Hybrid Gradient Approach for Compositely Regularized Minimization. - Linbo Qiao; Tianyi Lin; Yu-Gang Jiang 001; Fan Yang; Wei Liu 005; Xicheng Lu (ECAI, 2016)

Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes. - Jingjing Xiao; Linbo Qiao; Rustam Stolkin; Ales Leonardis (ECCV (4), 2016)

Rigidly Self-Expressive Sparse Subspace Clustering. - Linbo Qiao; Bofeng Zhang; Yipin Sun; Jinshu Su (PAKDD Workshops, 2016)

Semantic tracking: Single-target tracking with inter-supervised convolutional networks. - Jingjing Xiao; Qiang Lan; Linbo Qiao; Ales Leonardis (CoRR, 2016)

Learning Deep Correspondence through Prior and Posterior Feature Constancy. - Zhengfa Liang; Yiliu Feng; Yulan Guo; Hengzhu Liu; Linbo Qiao; Wei Chen 009; Li Zhou 009; Jianfeng Zhang (CoRR, 2017)

A systematic review of structured sparse learning. - Lin-Bo Qiao; Bo-Feng Zhang; Jinshu Su; Xicheng Lu (Frontiers Inf. Technol. Electron. Eng., 2017)

Learning for Disparity Estimation Through Feature Constancy. - Zhengfa Liang; Yiliu Feng; Yulan Guo; Hengzhu Liu; Wei Chen 009; Linbo Qiao; Li Zhou 009; Jianfeng Zhang (CVPR, 2018)

Malware Collusion Attack Against Machine Learning Based Methods: Issues and Countermeasures. - Hongyi Chen; Jinshu Su; Linbo Qiao; Yi Zhang; Qin Xin 001 (ICCCS (5), 2018)

An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. - Lei Guan; Linbo Qiao; Dongsheng Li 001; Tao Sun 005; Keshi Ge; Xicheng Lu (ICDM Workshops, 2018)

FVR-SGD: A New Flexible Variance-Reduction Method for SGD on Large-Scale Datasets. - Mingxing Tang; Zhen Huang 006; Linbo Qiao; Shuyang Du; Yuxing Peng 001; Changjian Wang (ICONIP (2), 2018)

Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization. - Menglong Lu; Dawei Feng; Linbo Qiao; Dawen Ding; Dongsheng Li 001 (IJCNN, 2018)

Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization. - Tianyi Lin; Linbo Qiao; Teng Zhang; Jiashi Feng; Bofeng Zhang (Neurocomputing, 2018)

On the iteration complexity analysis of Stochastic Primal-Dual Hybrid Gradient approach with high probability. - Linbo Qiao; Tianyi Lin; Qi Qin; Xicheng Lu (Neurocomputing, 2018)

Stochastic extra-gradient based alternating direction methods for graph-guided regularized minimization. - Qiang Lan; Lin-Bo Qiao; Yijie Wang 001 (Frontiers Inf. Technol. Electron. Eng., 2018)

Exploring Pre-trained Language Models for Event Extraction and Generation. - Sen Yang 003; Dawei Feng; Linbo Qiao; Zhigang Kan; Dongsheng Li 001 (ACL (1), 2019)

Bregman reweighted alternating minimization and its application to image deblurring. - Tao Sun 005; Linbo Qiao; Dongsheng Li 001 (Inf. Sci., 2019)

Block coordinate descentwith time perturbation for nonconvex nonsmooth problems in real-world studies. - Rui Liu 012; Wei-Chu Sun; Tao Hou; Chun-Hong Hu; Lin-Bo Qiao (Frontiers Inf. Technol. Electron. Eng., 2019)

Mini-batch cutting plane method for regularized risk minimization. - Menglong Lu; Lin-Bo Qiao; Dawei Feng; Dongsheng Li 001; Xicheng Lu (Frontiers Inf. Technol. Electron. Eng., 2019)

ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach. - Yu Tang; Zhigang Kan; Dequan Sun; Linbo Qiao; Jingjing Xiao; Zhiquan Lai; Dongsheng Li 001 (ECML/PKDD (2), 2020)

Event Arguments Extraction via Dilate Gated Convolutional Neural Network With Enhanced Local Features. - Zhigang Kan; Linbo Qiao; Sen Yang 003; Feng Liu; Feng Huang (IEEE Access, 2020)

An efficient parallel and distributed solution to nonconvex penalized linear SVMs. - Lei Guan; Tao Sun 005; Linbo Qiao; Zhi-hui Yang; Dongsheng Li 001; Ke-shi Ge; Xicheng Lu (Frontiers Inf. Technol. Electron. Eng., 2020)

Accelerating SGD using flexible variance reduction on large-scale datasets. - Mingxing Tang; Linbo Qiao; Zhen Huang 006; Xinwang Liu 002; Yuxing Peng 001; Xueliang Liu (Neural Comput. Appl., 2020)

Towards Practical Privacy-Preserving Decision Tree Training and Evaluation in the Cloud. - Lin Liu 018; Rongmao Chen; Ximeng Liu; Jinshu Su; Linbo Qiao (IEEE Trans. Inf. Forensics Secur., 2020)

Multi-view Interaction Learning for Few-Shot Relation Classification. - Yi Han; Linbo Qiao; Jianming Zheng; Zhigang Kan; Linhui Feng; Yifu Gao; Yu Tang; Qi Zhai; Dongsheng Li 001; Xiangke Liao (CIKM, 2021)

Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. - Linbo Qiao; Tao Sun 005; Hengyue Pan; Dongsheng Li 001 (ICASSP, 2021)

Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training. - Xiangyu Ye; Zhiquan Lai; Shengwei Li; Lei Cai; Ding Sun; Linbo Qiao; Dongsheng Li 001 (ICPP, 2021)

Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction. - Linhui Feng; Linbo Qiao; Yi Han; Zhigang Kan; Yifu Gao; Dongsheng Li 001 (KSEM, 2021)

CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network. - Qi Zhai; Zhigang Kan; Sen Yang 003; Linbo Qiao; Feng Liu; Dongsheng Li 001 (PAKDD (2), 2021)

A survey of script learning. - Yi Han; Linbo Qiao; Jianming Zheng; Hefeng Wu; Dongsheng Li 001; Xiangke Liao (Frontiers Inf. Technol. Electron. Eng., 2021)

Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy. - Zhengfa Liang; Yulan Guo; Yiliu Feng; Wei Chen 009; Linbo Qiao; Li Zhou 009; Jianfeng Zhang; Hengzhu Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Novel Convergence Results of Adaptive Stochastic Gradient Descents. - Tao Sun 005; Linbo Qiao; Qing Liao 001; Dong Sheng Li 001 (IEEE Trans. Image Process., 2021)

Nonergodic Complexity of Proximal Inertial Gradient Descents. - Tao Sun 005; Linbo Qiao; Dongsheng Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection. - Zimian Wei; Hengyue Pan; Linbo Qiao; Xin Niu 002; Peijie Dong; Dongsheng Li 001 (ICASSP, 2022)

Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure. - Yifu Gao; Linhui Feng; Zhigang Kan; Yi Han; Linbo Qiao; Dongsheng Li 001 (IJCAI, 2022)

Event Coreference Resolution based on Convolutional Siamese network and Circle Loss. - Beiya Dai; Jiangang Qian; Shiqing Cheng; Linbo Qiao; Dongsheng Li 001 (IJCNN, 2022)

DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation. - Yu Tang; Chenyu Wang; Yufan Zhang; Yuliang Liu; Xingcheng Zhang; Linbo Qiao; Zhiquan Lai; Dongsheng Li 001 (CoRR, 2022)

A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks. - Zhigang Kan; Linhui Feng; Zhangyue Yin; Linbo Qiao; Xipeng Qiu; Dongsheng Li 001 (CoRR, 2022)

Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion. - Yifu Gao; Yongquan He; Zhigang Kan; Yi Han; Linbo Qiao; Dongsheng Li 001 (ACL (Findings), 2023)

Parallelized ADMM with General Objectives for Deep Learning. - Yanqi Shi; Yu Tang; Hao Zheng; Zhigang Kan; Linbo Qiao (ICA3PP (3), 2023)

TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks. - Peng Liang 017; Hao Zheng; Teng Su; Linbo Qiao; Dongsheng Li 001 (CoRR, 2023)

Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization. - Zhigang Kan; Linbo Qiao; Hao Yu 010; Liwen Peng; Yifu Gao; Dongsheng Li 001 (CoRR, 2023)

Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models. - Zhiquan Lai; Shengwei Li; Xudong Tang; Keshi Ge; Weijie Liu; Yabo Duan; Linbo Qiao; Dongsheng Li 001 (IEEE Trans. Parallel Distributed Syst., 2023)

A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks. - Zhigang Kan; Linhui Feng; Zhangyue Yin; Linbo Qiao; Xipeng Qiu; Dongsheng Li 001 (IEEE Trans. Big Data, 2023)

A Survey on Auto-Parallelism of Large-Scale Deep Learning Training. - Peng Liang 017; Yu Tang; Xiaoda Zhang; Youhui Bai; Teng Su; Zhiquan Lai; Linbo Qiao; Dongsheng Li 001 (IEEE Trans. Parallel Distributed Syst., 2023)

An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios. - Zhigang Kan; Yanqi Shi; Zhangyue Yin; Liwen Peng; Linbo Qiao; Xipeng Qiu; Dongsheng Li 001 (Inf. Sci., 2023)

Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. - Yifu Gao; Linbo Qiao; Zhigang Kan; Zhihua Wen; Yongquan He; Dongsheng Li 001 (ACL (Findings), 2024)

Emancipating Event Extraction from the Constraints of Long-Tailed Distribution Data Utilizing Large Language Models. - Zhigang Kan; Liwen Peng; Linbo Qiao; Dongsheng Li 001 (LREC/COLING, 2024)

FDIG: A Fine-Grained Data Integration Approach for Group Recommendation. - Qiwei Ye; Fan Yang; Jing Lu; Yu Tang; Linbo Qiao; Yunwei Zhao (ICASSP, 2024)

3D Parallelism for Transformers via Integer Programming. - Hao Zheng; Peng Liang 017; Yu Tang; Yanqi Shi; Linbo Qiao; Dongsheng Li 001 (ICASSP, 2024)

FEW: Multi-modal Recommendation for Cold-Start. - Qiwei Ye; Linbo Qiao; Zhixin Ou; Kaixi Yang; Fan Yang (IJCNN, 2024)

Adaptive Selective Knowledge Distillation: Not Blindly Accepting Teachers as Oracles. - Baoyun Peng; Zhaoning Zhang 001; Yafei Qi; Linbo Qiao (PRCV (3), 2024)

LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction. - Zhigang Kan; Liwen Peng; Yifu Gao; Ning Liu 015; Linbo Qiao; Dongsheng Li 001 (WWW, 2024)

TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features. - Hengyue Pan; Yixin Chen 004; Zhiliang Tian; Peng Qiao; Linbo Qiao; Dongsheng Li 001 (CoRR, 2024)

Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection. - Liwen Peng; Songlei Jian; Zhigang Kan; Linbo Qiao; Dong Sheng Li 001 (Inf. Process. Manag., 2024)

A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training. - Dongsheng Li 001; Shengwei Li; Zhiquan Lai; Yongquan Fu; Xiangyu Ye; Lei Cai; Linbo Qiao (IEEE Trans. Parallel Distributed Syst., 2024)

DELTA: Memory-Efficient Training via Dynamic Fine-Grained Recomputation and Swapping. - Yu Tang; Qiao Li 001; Lujia Yin; Dongsheng Li 001; Yiming Zhang 003; Chenyu Wang; Xingcheng Zhang; Linbo Qiao; Zhaoning Zhang 001; Kai Lu 001 (ACM Trans. Archit. Code Optim., 2024)

LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis. - Zhiliang Tian; Jingyuan Huang; Zejiang He; Zhen Huang 006; Menglong Lu; Linbo Qiao; Songzhu Mei; Yijie Wang 001; Dongsheng Li (ACL (1), 2025)

A unified multimodal classification framework based on deep metric learning. - Liwen Peng; Songlei Jian; Minne Li; Zhigang Kan; Linbo Qiao; Dongsheng Li 001 (Neural Networks, 2025)

A Survey on Memory-Efficient Large-Scale Model Training in AI for Science. - Kaiyuan Tian; Linbo Qiao; Baihui Liu; Gongqingjian Jiang; Dongsheng Li (CoRR, 2025)

Automatic parallelism strategy generation with minimal memory redundancy. - Yanqi Shi; Peng Liang 017; Hao Zheng; Linbo Qiao; Dongsheng Li 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

Training large-scale language models with limited GPU memory: a survey. - Yu Tang; Linbo Qiao; Lujia Yin; Peng Liang 017; Ao Shen; Zhilin Yang; Lizhi Zhang; Dongsheng Li 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

Memory-efficient tensor parallelism for long-sequence Transformer training. - Peng Liang 017; Linbo Qiao; Yanqi Shi; Hao Zheng; Yu Tang; Dongsheng Li 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

Koala: Efficient Pipeline Training through Automated Schedule Searching on Domain-Specific Language. - Yu Tang; Lujia Yin; Qiao Li 001; Hongyu Zhu; Hengjie Li; Xingcheng Zhang; Linbo Qiao; Dongsheng Li 001; Jiaxin Li (ACM Trans. Archit. Code Optim., 2025)