Linbo Qiao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 59

Top Topics

Temporal Knowledge

Subspace Clustering

Cluttered Scenes

Event Extraction

Top Venues

IEEE Trans. Parallel Distributed Syst.

Frontiers Inf. Technol. Electron. Eng.

Publications

Zhigang Kan, Liwen Peng, Linbo Qiao, Dongsheng Li
Emancipating Event Extraction from the Constraints of Long-Tailed Distribution Data Utilizing Large Language Models. LREC/COLING (2024)
Yifu Gao, Linbo Qiao, Zhigang Kan, Zhihua Wen, Yongquan He, Dongsheng Li
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. ACL (Findings) (2024)
Qiwei Ye, Fan Yang, Jing Lu, Yu Tang, Linbo Qiao, Yunwei Zhao
FDIG: A Fine-Grained Data Integration Approach for Group Recommendation. ICASSP (2024)
Hengyue Pan, Yixin Chen, Zhiliang Tian, Peng Qiao, Linbo Qiao, Dongsheng Li
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features. CoRR (2024)
Zhigang Kan, Liwen Peng, Yifu Gao, Ning Liu, Linbo Qiao, Dongsheng Li
LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction. WWW (2024)
Dongsheng Li, Shengwei Li, Zhiquan Lai, Yongquan Fu, Xiangyu Ye, Lei Cai, Linbo Qiao
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training. IEEE Trans. Parallel Distributed Syst. 35 (4) (2024)
Yifu Gao, Linbo Qiao, Zhigang Kan, Zhihua Wen, Yongquan He, Dongsheng Li
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. CoRR (2024)
Liwen Peng, Songlei Jian, Zhigang Kan, Linbo Qiao, Dong Sheng Li
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection. Inf. Process. Manag. 61 (1) (2024)
Hao Zheng, Peng Liang, Yu Tang, Yanqi Shi, Linbo Qiao, Dongsheng Li
3D Parallelism for Transformers via Integer Programming. ICASSP (2024)
Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li
Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models. IEEE Trans. Parallel Distributed Syst. 34 (5) (2023)
Zhigang Kan, Linhui Feng, Zhangyue Yin, Linbo Qiao, Xipeng Qiu, Dongsheng Li
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks. IEEE Trans. Big Data 9 (4) (2023)
Zhigang Kan, Yanqi Shi, Zhangyue Yin, Liwen Peng, Linbo Qiao, Xipeng Qiu, Dongsheng Li
An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios. Inf. Sci. 649 (2023)
Yifu Gao, Yongquan He, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li
Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion. ACL (Findings) (2023)
Zhigang Kan, Linbo Qiao, Hao Yu, Liwen Peng, Yifu Gao, Dongsheng Li
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization. CoRR (2023)
Peng Liang, Yu Tang, Xiaoda Zhang, Youhui Bai, Teng Su, Zhiquan Lai, Linbo Qiao, Dongsheng Li
A Survey on Auto-Parallelism of Large-Scale Deep Learning Training. IEEE Trans. Parallel Distributed Syst. 34 (8) (2023)
Peng Liang, Hao Zheng, Teng Su, Linbo Qiao, Dongsheng Li
TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks. CoRR (2023)
Yanqi Shi, Yu Tang, Hao Zheng, Zhigang Kan, Linbo Qiao
Parallelized ADMM with General Objectives for Deep Learning. ICA3PP (3) (2023)
Zhigang Kan, Linhui Feng, Zhangyue Yin, Linbo Qiao, Xipeng Qiu, Dongsheng Li
A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks. CoRR (2022)
Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li
Merak: An Efficient Distributed DNN Training Framework with Automated 3D Parallelism for Giant Foundation Models. CoRR (2022)
Yu Tang, Chenyu Wang, Yufan Zhang, Yuliang Liu, Xingcheng Zhang, Linbo Qiao, Zhiquan Lai, Dongsheng Li
DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation. CoRR (2022)
Zimian Wei, Hengyue Pan, Linbo Qiao, Xin Niu, Peijie Dong, Dongsheng Li
Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection. ICASSP (2022)
Yifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li
Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure. IJCAI (2022)
Beiya Dai, Jiangang Qian, Shiqing Cheng, Linbo Qiao, Dongsheng Li
Event Coreference Resolution based on Convolutional Siamese network and Circle Loss. IJCNN (2022)
Tao Sun, Linbo Qiao, Qing Liao, Dong Sheng Li
Novel Convergence Results of Adaptive Stochastic Gradient Descents. IEEE Trans. Image Process. 30 (2021)
Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. CoRR (2021)
Yi Han, Linbo Qiao, Jianming Zheng, Zhigang Kan, Linhui Feng, Yifu Gao, Yu Tang, Qi Zhai, Dongsheng Li, Xiangke Liao
Multi-view Interaction Learning for Few-Shot Relation Classification. CIKM (2021)
Yi Han, Linbo Qiao, Jianming Zheng, Hefeng Wu, Dongsheng Li, Xiangke Liao
A survey of script learning. Frontiers Inf. Technol. Electron. Eng. 22 (3) (2021)
Xiangyu Ye, Zhiquan Lai, Shengwei Li, Lei Cai, Ding Sun, Linbo Qiao, Dongsheng Li
Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training. ICPP (2021)
Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. ICASSP (2021)
Qi Zhai, Zhigang Kan, Sen Yang, Linbo Qiao, Feng Liu, Dongsheng Li
CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network. PAKDD (2) (2021)
Zhengfa Liang, Yulan Guo, Yiliu Feng, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang, Hengzhu Liu
Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
Linhui Feng, Linbo Qiao, Yi Han, Zhigang Kan, Yifu Gao, Dongsheng Li
Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction. KSEM (2021)
Tao Sun, Linbo Qiao, Dongsheng Li
Nonergodic Complexity of Proximal Inertial Gradient Descents. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
Zhigang Kan, Linbo Qiao, Sen Yang, Feng Liu, Feng Huang
Event Arguments Extraction via Dilate Gated Convolutional Neural Network With Enhanced Local Features. IEEE Access 8 (2020)
Zhigang Kan, Linbo Qiao, Sen Yang, Feng Liu, Feng Huang
Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features. CoRR (2020)
Lin Liu, Rongmao Chen, Ximeng Liu, Jinshu Su, Linbo Qiao
Towards Practical Privacy-Preserving Decision Tree Training and Evaluation in the Cloud. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Yu Tang, Zhigang Kan, Dequan Sun, Linbo Qiao, Jingjing Xiao, Zhiquan Lai, Dongsheng Li
ADMMiRNN: Training RNN with Stable Convergence via An Efficient ADMM Approach. CoRR (2020)
Mingxing Tang, Linbo Qiao, Zhen Huang, Xinwang Liu, Yuxing Peng, Xueliang Liu
Accelerating SGD using flexible variance reduction on large-scale datasets. Neural Comput. Appl. 32 (12) (2020)
Yu Tang, Zhigang Kan, Dequan Sun, Linbo Qiao, Jingjing Xiao, Zhiquan Lai, Dongsheng Li
ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach. ECML/PKDD (2) (2020)
Lei Guan, Tao Sun, Linbo Qiao, Zhi-hui Yang, Dongsheng Li, Ke-shi Ge, Xicheng Lu
An efficient parallel and distributed solution to nonconvex penalized linear SVMs. Frontiers Inf. Technol. Electron. Eng. 21 (4) (2020)
Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li
Exploring Pre-trained Language Models for Event Extraction and Generation. ACL (1) (2019)
Tao Sun, Linbo Qiao, Dongsheng Li
Bregman reweighted alternating minimization and its application to image deblurring. Inf. Sci. 503 (2019)
Linbo Qiao, Tianyi Lin, Qi Qin, Xicheng Lu
On the Iteration Complexity Analysis of Stochastic Primal-Dual Hybrid Gradient Approach with High Probability. CoRR (2018)
Mingxing Tang, Zhen Huang, Linbo Qiao, Shuyang Du, Yuxing Peng, Changjian Wang
FVR-SGD: A New Flexible Variance-Reduction Method for SGD on Large-Scale Datasets. ICONIP (2) (2018)
Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang
Learning for Disparity Estimation Through Feature Constancy. CVPR (2018)
Tianyi Lin, Linbo Qiao, Teng Zhang, Jiashi Feng, Bofeng Zhang
Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization. Neurocomputing 273 (2018)
Linbo Qiao, Tianyi Lin, Qi Qin, Xicheng Lu
On the iteration complexity analysis of Stochastic Primal-Dual Hybrid Gradient approach with high probability. Neurocomputing 307 (2018)
Menglong Lu, Dawei Feng, Linbo Qiao, Dawen Ding, Dongsheng Li
Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization. IJCNN (2018)
Hongyi Chen, Jinshu Su, Linbo Qiao, Yi Zhang, Qin Xin
Malware Collusion Attack Against Machine Learning Based Methods: Issues and Countermeasures. ICCCS (5) (2018)
Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Ke-shi Ge, Xicheng Lu
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. CoRR (2018)
Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Keshi Ge, Xicheng Lu
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. ICDM Workshops (2018)
Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Linbo Qiao, Wei Chen, Li Zhou, Jianfeng Zhang
Learning Deep Correspondence through Prior and Posterior Feature Constancy. CoRR (2017)
Tianyi Lin, Linbo Qiao, Teng Zhang, Jiashi Feng, Bofeng Zhang
Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization. CoRR (2017)
Linbo Qiao, Bofeng Zhang, Lei Zhuang, Jinshu Su
An Efficient Algorithm for Tensor Principal Component Analysis via Proximal Linearized Alternating Direction Method of Multipliers. CBD (2016)
Jingjing Xiao, Linbo Qiao, Rustam Stolkin, Ales Leonardis
Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes. ECCV (4) (2016)
Linbo Qiao, Tianyi Lin, Yu-Gang Jiang, Fan Yang, Wei Liu, Xicheng Lu
On Stochastic Primal-Dual Hybrid Gradient Approach for Compositely Regularized Minimization. ECAI (2016)
Linbo Qiao, Bofeng Zhang, Yipin Sun, Jinshu Su
Rigidly Self-Expressive Sparse Subspace Clustering. PAKDD Workshops (2016)
Jingjing Xiao, Qiang Lan, Linbo Qiao, Ales Leonardis
Semantic tracking: Single-target tracking with inter-supervised convolutional networks. CoRR (2016)
Linbo Qiao, Bofeng Zhang, Jinshu Su, Xicheng Lu
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization. ACML (2016)
Xiao Wen, Linbo Qiao, Shiqian Ma, Wei Liu, Hong Cheng
Sparse Subspace Clustering for Incomplete Images. ICCV Workshops (2015)