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Linbo Qiao
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2020 – today
- 2025
- [j22]Liwen Peng
, Songlei Jian, Minne Li, Zhigang Kan, Linbo Qiao, Dongsheng Li:
A unified multimodal classification framework based on deep metric learning. Neural Networks 181: 106747 (2025) - 2024
- [j21]Liwen Peng
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection. Inf. Process. Manag. 61(1): 103564 (2024) - [j20]Dongsheng Li
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training. IEEE Trans. Parallel Distributed Syst. 35(4): 577-591 (2024) - [c31]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: 6719-6734 - [c30]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: 5644-5653 - [c29]Qiwei Ye, Fan Yang, Jing Lu, Yu Tang, Linbo Qiao, Yunwei Zhao:
FDIG: A Fine-Grained Data Integration Approach for Group Recommendation. ICASSP 2024: 5370-5374 - [c28]Hao Zheng, Peng Liang, Yu Tang, Yanqi Shi, Linbo Qiao, Dongsheng Li:
3D Parallelism for Transformers via Integer Programming. ICASSP 2024: 6440-6444 - [c27]Qiwei Ye, Linbo Qiao, Zhixin Ou, Kaixi Yang, Fan Yang:
FEW: Multi-modal Recommendation for Cold-Start. IJCNN 2024: 1-9 - [c26]Zhigang Kan
LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction. WWW 2024: 3964-3975 - [i15]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 abs/2401.15949 (2024) - [i14]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 abs/2402.16568 (2024) - 2023
- [j19]Zhigang Kan
An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios. Inf. Sci. 649: 119652 (2023) - [j18]Zhigang Kan
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks. IEEE Trans. Big Data 9(4): 1238-1251 (2023) - [j17]Zhiquan Lai
Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models. IEEE Trans. Parallel Distributed Syst. 34(5): 1466-1478 (2023) - [j16]Peng Liang
A Survey on Auto-Parallelism of Large-Scale Deep Learning Training. IEEE Trans. Parallel Distributed Syst. 34(8): 2377-2390 (2023) - [c25]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: 417-430 - [c24]Yanqi Shi, Yu Tang, Hao Zheng, Zhigang Kan, Linbo Qiao:
Parallelized ADMM with General Objectives for Deep Learning. ICA3PP (3) 2023: 398-410 - [i13]Peng Liang, Hao Zheng, Teng Su, Linbo Qiao, Dongsheng Li:
TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks. CoRR abs/2301.04285 (2023) - [i12]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 abs/2306.08223 (2023) - 2022
- [c23]Zimian Wei, Hengyue Pan, Linbo Qiao, Xin Niu, Peijie Dong, Dongsheng Li:
Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection. ICASSP 2022: 4733-4737 - [c22]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: 2044-2051 - [c21]Beiya Dai, Jiangang Qian, Shiqing Cheng, Linbo Qiao, Dongsheng Li:
Event Coreference Resolution based on Convolutional Siamese network and Circle Loss. IJCNN 2022: 1-7 - [i11]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 abs/2203.15980 (2022) - [i10]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 abs/2206.04959 (2022) - [i9]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 abs/2209.11570 (2022) - 2021
- [j15]Yi Han
A survey of script learning. Frontiers Inf. Technol. Electron. Eng. 22(3): 341-373 (2021) - [j14]Zhengfa Liang
Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 300-315 (2021) - [j13]Tao Sun
Novel Convergence Results of Adaptive Stochastic Gradient Descents. IEEE Trans. Image Process. 30: 1044-1056 (2021) - [j12]Tao Sun
Nonergodic Complexity of Proximal Inertial Gradient Descents. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4613-4626 (2021) - [c20]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: 649-658 - [c19]Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li:
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. ICASSP 2021: 3895-3899 - [c18]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: 71:1-71:10 - [c17]Linhui Feng, Linbo Qiao, Yi Han, Zhigang Kan, Yifu Gao, Dongsheng Li:
Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction. KSEM 2021: 75-87 - [c16]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: 295-307 - [i8]Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li:
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. CoRR abs/2102.00267 (2021) - 2020
- [j11]Zhigang Kan
Event Arguments Extraction via Dilate Gated Convolutional Neural Network With Enhanced Local Features. IEEE Access 8: 123483-123491 (2020) - [j10]Lei Guan, Tao Sun, Linbo Qiao, Zhi-hui Yang, Dongsheng Li
An efficient parallel and distributed solution to nonconvex penalized linear SVMs. Frontiers Inf. Technol. Electron. Eng. 21(4): 587-603 (2020) - [j9]Mingxing Tang, Linbo Qiao, Zhen Huang
Accelerating SGD using flexible variance reduction on large-scale datasets. Neural Comput. Appl. 32(12): 8089-8100 (2020) - [j8]Lin Liu
Towards Practical Privacy-Preserving Decision Tree Training and Evaluation in the Cloud. IEEE Trans. Inf. Forensics Secur. 15: 2914-2929 (2020) - [c15]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: 3-18 - [i7]Zhigang Kan, Linbo Qiao, Sen Yang, Feng Liu, Feng Huang:
Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features. CoRR abs/2006.01854 (2020) - [i6]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 abs/2006.05622 (2020)
2010 – 2019
- 2019
- [j7]Tao Sun
Bregman reweighted alternating minimization and its application to image deblurring. Inf. Sci. 503: 401-416 (2019) - [j6]Rui Liu, Wei-Chu Sun, Tao Hou, Chun-Hong Hu
Block coordinate descentwith time perturbation for nonconvex nonsmooth problems in real-world studies. Frontiers Inf. Technol. Electron. Eng. 20(10): 1390-1403 (2019) - [j5]Menglong Lu
Mini-batch cutting plane method for regularized risk minimization. Frontiers Inf. Technol. Electron. Eng. 20(11): 1551-1563 (2019) - [c14]Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li:
Exploring Pre-trained Language Models for Event Extraction and Generation. ACL (1) 2019: 5284-5294 - 2018
- [j4]Tianyi Lin, Linbo Qiao
Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization. Neurocomputing 273: 516-525 (2018) - [j3]Linbo Qiao
On the iteration complexity analysis of Stochastic Primal-Dual Hybrid Gradient approach with high probability. Neurocomputing 307: 78-90 (2018) - [j2]Qiang Lan, Lin-Bo Qiao
Stochastic extra-gradient based alternating direction methods for graph-guided regularized minimization. Frontiers Inf. Technol. Electron. Eng. 19(6): 755-762 (2018) - [c13]Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou
Learning for Disparity Estimation Through Feature Constancy. CVPR 2018: 2811-2820 - [c12]Hongyi Chen, Jinshu Su, Linbo Qiao, Yi Zhang, Qin Xin:
Malware Collusion Attack Against Machine Learning Based Methods: Issues and Countermeasures. ICCCS (5) 2018: 465-477 - [c11]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: 1209-1216 - [c10]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: 181-193 - [c9]Menglong Lu, Dawei Feng, Linbo Qiao, Dawen Ding, Dongsheng Li:
Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization. IJCNN 2018: 1-8 - [i5]Linbo Qiao, Tianyi Lin, Qi Qin, Xicheng Lu:
On the Iteration Complexity Analysis of Stochastic Primal-Dual Hybrid Gradient Approach with High Probability. CoRR abs/1801.06934 (2018) - [i4]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 abs/1809.03655 (2018) - 2017
- [j1]Lin-Bo Qiao, Bo-Feng Zhang, Jinshu Su
A systematic review of structured sparse learning. Frontiers Inf. Technol. Electron. Eng. 18(4): 445-463 (2017) - [i3]Tianyi Lin, Linbo Qiao, Teng Zhang, Jiashi Feng, Bofeng Zhang:
Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization. CoRR abs/1708.05978 (2017) - [i2]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 abs/1712.01039 (2017) - 2016
- [c8]Linbo Qiao, Bofeng Zhang, Jinshu Su
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization. ACML 2016: 97-109 - [c7]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: 283-288 - [c6]Linbo Qiao, Tianyi Lin, Yu-Gang Jiang, Fan Yang, Wei Liu
On Stochastic Primal-Dual Hybrid Gradient Approach for Compositely Regularized Minimization. ECAI 2016: 167-174 - [c5]Jingjing Xiao, Linbo Qiao
Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes. ECCV (4) 2016: 121-136 - [c4]Linbo Qiao, Bofeng Zhang, Yipin Sun, Jinshu Su:
Rigidly Self-Expressive Sparse Subspace Clustering. PAKDD Workshops 2016: 101-114 - [i1]Jingjing Xiao, Qiang Lan, Linbo Qiao, Ales Leonardis:
Semantic tracking: Single-target tracking with inter-supervised convolutional networks. CoRR abs/1611.06395 (2016) - 2015
- [c3]Xiao Wen, Linbo Qiao
Sparse Subspace Clustering for Incomplete Images. ICCV Workshops 2015: 859-867 - 2013
- [c2]Lin-Bo Qiao, Bo-Feng Zhang, Rui-Yuan Zhao, Jinshu Su:
Online Mining of Attack Models in IDS Alerts from Network Backbone by a Two-Stage Clustering Method. CSS 2013: 104-116 - 2012
- [c1]Lin-Bo Qiao, Bo-Feng Zhang, Zhiquan Lai, Jinshu Su
Mining of Attack Models in IDS Alerts from Network Backbone by a Two-stage Clustering Method. IPDPS Workshops 2012: 1263-1269
Coauthor Index
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