Linbo Qiao

发表

Association of radiomic imaging features and gene expression profile as prognostic factors in pancreatic ductal adenocarcinoma.

Ke Li, Jingjing Xiao, Jiali Yang, 2019, American journal of translational research.

Adaptive linearized alternating direction method of multipliers for non-convex compositely regularized optimization problems

Jinshu Su, Linbo Qiao, Bofeng Zhang, 2017 .

Non-ergodic Complexity of Convex Proximal Inertial Gradient Descents

Dongsheng Li, Linbo Qiao, Tao Sun, 2018 .

WITHDRAWN: Parallel Block Coordinate Descent with Path-Following for Constrained Folded Concave Linear Regression

Jinshu Su, Linbo Qiao, Qiang Lan, 2017 .

Disparity Estimation Disparity Refinement Disparity Convolution Correlation Initial Disparity Residual Deconvolution Refined Disparity Reconstruction Error Shared Weights Skip Connection

Linbo Qiao, Yulan Guo, Hengzhu Liu, 2018 .

Merak: An Efficient Distributed DNN Training Framework with Automated 3D Parallelism for Giant Foundation Models

Linbo Qiao, Xudong Tang, Zhiquan Lai, 2022, ArXiv.

Fast Tensor Principal Component Analysis via Proximal Alternating Direction Method with Vectorized Technique

Gangyao Kuang, Linbo Qiao, Haiyan Fan, 2017 .

Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure

Linbo Qiao, Yifu Gao, Linhui Feng, 2022, International Joint Conference on Artificial Intelligence.

DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation

Xingcheng Zhang, Yuliang Liu, Linbo Qiao, 2022, ArXiv.

A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks

Xipeng Qiu, Linbo Qiao, Linhui Feng, 2022, ArXiv.

Accelerating SGD using flexible variance reduction on large-scale datasets

Xinwang Liu, Zhen Huang, Yuxing Peng, 2019, Neural Computing and Applications.

Towards Practical Privacy-Preserving Decision Tree Training and Evaluation in the Cloud

Jinshu Su, Ximeng Liu, Rongmao Chen, 2020, IEEE Transactions on Information Forensics and Security.

TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks

Teng Su, Linbo Qiao, Dongsheng Li, 2023, ArXiv.

A Framework of Event-Driven Detection System for Intricate Network Threats

Bofeng Zhang, Zhenghu Gong, Rongmao Chen, 2013 .

Sparse Subspace Clustering for Incomplete Images

Shiqian Ma, Wei Liu, Hong Cheng, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Semantic tracking: Single-target tracking with inter-supervised convolutional networks pdf

Ales Leonardis, Jingjing Xiao, Qiang Lan, 2016, ArXiv.

Exploring Pre-trained Language Models for Event Extraction and Generation

Dongsheng Li, Sen Yang, Zhigang Kan, 2019, ACL.

Learning for Disparity Estimation Through Feature Constancy

Wei Chen, Li Zhou, Yulan Guo, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy

Wei Chen, Jianfeng Zhang, Yulan Guo, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes

Ales Leonardis, Jingjing Xiao, Rustam Stolkin, 2016, ECCV.

Accelerating Event Detection with DGCNN and FPGAs

Jingfei Jiang, Yong Dou, Jinwei Xu, 2020, Electronics.

A systematic review of structured sparse learning

Xicheng Lu, Jinshu Su, Linbo Qiao, 2017, Frontiers of Information Technology & Electronic Engineering.

Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization

Linbo Qiao, Dongsheng Li, Hao Yu, 2023, ArXiv.

An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines

Lei Guan, Tao Sun, Dongsheng Li, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Learning Deep Correspondence through Prior and Posterior Feature Constancy pdf

Wei Chen, Yulan Guo, Li Zhou, 2017, ArXiv.

Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training

Zhiquan Lai, Linbo Qiao, Dongsheng Li, 2021, ICPP.

Novel Convergence Results of Adaptive Stochastic Gradient Descents

Dongsheng Li, Tao Sun, Linbo Qiao, 2020, IEEE Transactions on Image Processing.

Nonergodic Complexity of Proximal Inertial Gradient Descents

Tao Sun, Linbo Qiao, Dongsheng Li, 2020, IEEE Transactions on Neural Networks and Learning Systems.

On the Iteration Complexity Analysis of Stochastic Primal-Dual Hybrid Gradient Approach with High Probability pdf

Tianyi Lin, Xicheng Lu, Qi Qin, 2018, Neurocomputing.

Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization

Bofeng Zhang, Jinshu Su, Xicheng Lu, 2016, ACML.

On Stochastic Primal-Dual Hybrid Gradient Approach for Compositely Regularized Minimization

Wei Liu, Fan Yang, Tianyi Lin, 2016, ECAI.

An Efficient Algorithm for Tensor Principal Component Analysis via Proximal Linearized Alternating Direction Method of Multipliers

Bofeng Zhang, Jinshu Su, Lei Zhuang, 2016, 2016 International Conference on Advanced Cloud and Big Data (CBD).

Bregman reweighted alternating minimization and its application to image deblurring

Dongsheng Li, Tao Sun, Linbo Qiao, 2019, Inf. Sci..

Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection

Xin Niu, Linbo Qiao, H. Pan, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mining of Attack Models in IDS Alerts from Network Backbone by a Two-stage Clustering Method

Jinshu Su, Bo-Feng Zhang, Zhiquan Lai, 2012, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum.

Multi-view Interaction Learning for Few-Shot Relation Classification

Zhigang Kan, Linbo Qiao, Dongsheng Li, 2021, CIKM.

Malware Collusion Attack against SVM: Issues and Countermeasures

Jinshu Su, Qin Xin, Hongyi Chen, 2018, Applied Sciences.

A survey of script learning

Xiangke Liao, Linbo Qiao, Dongsheng Li, 2021, Frontiers of Information Technology & Electronic Engineering.

A Distributed Event Extraction Framework for Large-Scale Unstructured Text

Sen Yang, Dongsheng Li, Zhigang Kan, 2020, 2020 IEEE International Conference on Joint Cloud Computing.

Event Arguments Extraction via Dilate Gated Convolutional Neural Network With Enhanced Local Features

Sen Yang, Feng Liu, Feng Huang, 2020, IEEE Access.

P-ADMMiRNN: Training RNN with Stable Convergence via An Efficient and Paralleled ADMM Approach

Linbo Qiao, Zhiquan Lai, Dongsheng Li, 2020, 2006.05622.

A Tighter Bound on the Uniqueness of Sparsely-Used Dictionaries

Bofeng Zhang, Jinshu Su, Yipin Sun, 2016, 2016 Second International Conference on Computational Intelligence & Communication Technology (CICT).

Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models

Linbo Qiao, Xudong Tang, Zhiquan Lai, 2022, IEEE Transactions on Parallel and Distributed Systems.

Rigidly Self-Expressive Sparse Subspace Clustering

Bofeng Zhang, Jinshu Su, Yipin Sun, 2016, PAKDD Workshops.

Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization

Bofeng Zhang, Jiashi Feng, Tianyi Lin, 2017, Neurocomputing.