Linbo Qiao

78 papers A* 4A 2B 5C 2Misc 4Journal 43Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey on memory-efficient transformer-based model training in AI for science.
Frontiers Comput. Sci.
Kaiyuan Tian, Linbo Qiao, Baihui Liu, Gongqingjian Jiang, Shanshan Li, Dongsheng Li
2026 J jnl
Let the Agent Search: Autonomous Exploration Beats Rigid Workflows in Temporal Question Answering.
CoRR
Xufei Lv, Jiahui Yang, Haoyuan Sun, Xialin Su, Zhiliang Tian, Yifu Gao, Linbo Qiao, Houde Liu
2026 A* conf
ParaDySe: A Parallel Strategy Switching Framework for Dynamic Sequences in Transformer-based Large Language Models.
AAAI
Zhixin Ou, Peng Liang, Linbo Qiao, Jianchen Han, Baihui Liu
2025 J jnl
A Survey on Memory-Efficient Large-Scale Model Training in AI for Science.
CoRR
Kaiyuan Tian, Linbo Qiao, Baihui Liu, Gongqingjian Jiang, Dongsheng Li
2025 J jnl
A unified multimodal classification framework based on deep metric learning.
Neural Networks
Liwen Peng, Songlei Jian, Minne Li, Zhigang Kan, Linbo Qiao, Dongsheng Li
2025 B conf
ALM-KD: Adaptive Layer Mapping Knowledge Distillation for LLMs.
IJCNN
Xu Baizhou, Zhilin Yang, Niu Xin, Zhaoning Zhang, Huang Zheng, Linbo Qiao, Yafei Qi
2025 J jnl
Automatic parallelism strategy generation with minimal memory redundancy.
Frontiers Inf. Technol. Electron. Eng.
Yanqi Shi, Peng Liang, Hao Zheng, Linbo Qiao, Dongsheng Li
2025 — conf
Harnessing Heterogeneous Social Networks for Better Group Recommendations: An Integrated Approach Towards Cold-Start Problem.
KSEM (5)
Yunwei Zhao, Songtao Peng, Linbo Qiao, Qiwei Ye, Han Han, Shanqing Yu
2025 J jnl
Koala: Efficient Pipeline Training through Automated Schedule Searching on Domain-Specific Language.
ACM Trans. Archit. Code Optim.
Yu Tang, Lujia Yin, Qiao Li, Hongyu Zhu, Hengjie Li, Xingcheng Zhang, Linbo Qiao, Dongsheng Li, Jiaxin Li
2025 — conf
LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis.
ACL (1)
Zhiliang Tian, Jingyuan Huang, Zejiang He, Zhen Huang, Menglong Lu, Linbo Qiao, Songzhu Mei, Yijie Wang, Dongsheng Li
2025 J jnl
Memory-efficient tensor parallelism for long-sequence Transformer training.
Frontiers Inf. Technol. Electron. Eng.
Peng Liang, Linbo Qiao, Yanqi Shi, Hao Zheng, Yu Tang, Dongsheng Li
2025 — conf
Multi-granularity Complex Question Answering Over Temporal Knowledge Graphs.
ICONIP (1)
Jiahui Yang, Yifu Gao, Linbo Qiao, Ruchen Yi, Lang Yuan
2025 J jnl
ParaDySe: A Parallel-Strategy Switching Framework for Dynamic Sequence Lengths in Transformer.
CoRR
Zhixin Ou, Peng Liang, Jianchen Han, Baihui Liu, Linbo Qiao
2025 J jnl
Rhea: Role-aware Heuristic Episodic Attention for Conversational LLMs.
CoRR
Wanyang Hong, Zhaoning Zhang, Yi Chen, Libo Zhang, Baihui Liu, Linbo Qiao, Zhiliang Tian, Dongsheng Li
2025 J jnl
Training large-scale language models with limited GPU memory: a survey.
Frontiers Inf. Technol. Electron. Eng.
Yu Tang, Linbo Qiao, Lujia Yin, Peng Liang, Ao Shen, Zhilin Yang, Lizhi Zhang, Dongsheng Li
2024 Misc conf
3D Parallelism for Transformers via Integer Programming.
ICASSP
Hao Zheng, Peng Liang, Yu Tang, Yanqi Shi, Linbo Qiao, Dongsheng Li
2024 J jnl
A Memory-Efficient Hybrid Parallel Framework for Deep Neural Network Training.
IEEE Trans. Parallel Distributed Syst.
Dongsheng Li, Shengwei Li, Zhiquan Lai, Yongquan Fu, Xiangyu Ye, Lei Cai, Linbo Qiao
2024 — conf
Adaptive Selective Knowledge Distillation: Not Blindly Accepting Teachers as Oracles.
PRCV (3)
Baoyun Peng, Zhaoning Zhang, Yafei Qi, Linbo Qiao
2024 J jnl
DELTA: Memory-Efficient Training via Dynamic Fine-Grained Recomputation and Swapping.
ACM Trans. Archit. Code Optim.
Yu Tang, Qiao Li, Lujia Yin, Dongsheng Li, Yiming Zhang, Chenyu Wang, Xingcheng Zhang, Linbo Qiao, Zhaoning Zhang, Kai Lu
2024 — conf
Emancipating Event Extraction from the Constraints of Long-Tailed Distribution Data Utilizing Large Language Models.
LREC/COLING
Zhigang Kan, Liwen Peng, Linbo Qiao, Dongsheng Li
2024 Misc conf
FDIG: A Fine-Grained Data Integration Approach for Group Recommendation.
ICASSP
Qiwei Ye, Fan Yang, Jing Lu, Yu Tang, Linbo Qiao, Yunwei Zhao
2024 B conf
FEW: Multi-modal Recommendation for Cold-Start.
IJCNN
Qiwei Ye, Linbo Qiao, Zhixin Ou, Kaixi Yang, Fan Yang
2024 A* conf
LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction.
WWW
Zhigang Kan, Liwen Peng, Yifu Gao, Ning Liu, Linbo Qiao, Dongsheng Li
2024 J jnl
Not all fake news is semantically similar: Contextual semantic representation learning for multimodal fake news detection.
Inf. Process. Manag.
Liwen Peng, Songlei Jian, Zhigang Kan, Linbo Qiao, Dong Sheng Li
2024 J jnl
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features.
CoRR
Hengyue Pan, Yixin Chen, Zhiliang Tian, Peng Qiao, Linbo Qiao, Dongsheng Li
2024 — conf
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models.
ACL (Findings)
Yifu Gao, Linbo Qiao, Zhigang Kan, Zhihua Wen, Yongquan He, Dongsheng Li
2024 J jnl
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models.
CoRR
Yifu Gao, Linbo Qiao, Zhigang Kan, Zhihua Wen, Yongquan He, Dongsheng Li
2023 J jnl
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks.
IEEE Trans. Big Data
Zhigang Kan, Linhui Feng, Zhangyue Yin, Linbo Qiao, Xipeng Qiu, Dongsheng Li
2023 J jnl
A Survey on Auto-Parallelism of Large-Scale Deep Learning Training.
IEEE Trans. Parallel Distributed Syst.
Peng Liang, Yu Tang, Xiaoda Zhang, Youhui Bai, Teng Su, Zhiquan Lai, Linbo Qiao, Dongsheng Li
2023 J jnl
An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios.
Inf. Sci.
Zhigang Kan, Yanqi Shi, Zhangyue Yin, Liwen Peng, Linbo Qiao, Xipeng Qiu, Dongsheng Li
2023 — conf
Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion.
ACL (Findings)
Yifu Gao, Yongquan He, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li
2023 J jnl
Merak: An Efficient Distributed DNN Training Framework With Automated 3D Parallelism for Giant Foundation Models.
IEEE Trans. Parallel Distributed Syst.
Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li
2023 — conf
Parallelized ADMM with General Objectives for Deep Learning.
ICA3PP (3)
Yanqi Shi, Yu Tang, Hao Zheng, Zhigang Kan, Linbo Qiao
2023 J jnl
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization.
CoRR
Zhigang Kan, Linbo Qiao, Hao Yu, Liwen Peng, Yifu Gao, Dongsheng Li
2023 J jnl
TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks.
CoRR
Peng Liang, Hao Zheng, Teng Su, Linbo Qiao, Dongsheng Li
2022 J jnl
A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks.
CoRR
Zhigang Kan, Linhui Feng, Zhangyue Yin, Linbo Qiao, Xipeng Qiu, Dongsheng Li
2022 Misc conf
Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection.
ICASSP
Zimian Wei, Hengyue Pan, Linbo Qiao, Xin Niu, Peijie Dong, Dongsheng Li
2022 J jnl
DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation.
CoRR
Yu Tang, Chenyu Wang, Yufan Zhang, Yuliang Liu, Xingcheng Zhang, Linbo Qiao, Zhiquan Lai, Dongsheng Li
2022 B conf
Event Coreference Resolution based on Convolutional Siamese network and Circle Loss.
IJCNN
Beiya Dai, Jiangang Qian, Shiqing Cheng, Linbo Qiao, Dongsheng Li
2022 J jnl
Merak: An Efficient Distributed DNN Training Framework with Automated 3D Parallelism for Giant Foundation Models.
CoRR
Zhiquan Lai, Shengwei Li, Xudong Tang, Keshi Ge, Weijie Liu, Yabo Duan, Linbo Qiao, Dongsheng Li
2022 A* conf
Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure.
IJCAI
Yifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li
2021 J jnl
A survey of script learning.
Frontiers Inf. Technol. Electron. Eng.
Yi Han, Linbo Qiao, Jianming Zheng, Hefeng Wu, Dongsheng Li, Xiangke Liao
2021 — conf
CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network.
PAKDD (2)
Qi Zhai, Zhigang Kan, Sen Yang, Linbo Qiao, Feng Liu, Dongsheng Li
2021 B conf
Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training.
ICPP
Xiangyu Ye, Zhiquan Lai, Shengwei Li, Lei Cai, Ding Sun, Linbo Qiao, Dongsheng Li
2021 Misc conf
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training.
ICASSP
Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li
2021 J jnl
Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training.
CoRR
Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li
2021 A conf
Multi-view Interaction Learning for Few-Shot Relation Classification.
CIKM
Yi Han, Linbo Qiao, Jianming Zheng, Zhigang Kan, Linhui Feng, Yifu Gao, Yu Tang, Qi Zhai, Dongsheng Li, Xiangke Liao
2021 J jnl
Nonergodic Complexity of Proximal Inertial Gradient Descents.
IEEE Trans. Neural Networks Learn. Syst.
Tao Sun, Linbo Qiao, Dongsheng Li
2021 J jnl
Novel Convergence Results of Adaptive Stochastic Gradient Descents.
IEEE Trans. Image Process.
Tao Sun, Linbo Qiao, Qing Liao, Dong Sheng Li
2021 J jnl
Stereo Matching Using Multi-Level Cost Volume and Multi-Scale Feature Constancy.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhengfa Liang, Yulan Guo, Yiliu Feng, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang, Hengzhu Liu
2021 C conf
Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction.
KSEM
Linhui Feng, Linbo Qiao, Yi Han, Zhigang Kan, Yifu Gao, Dongsheng Li
2020 J jnl
ADMMiRNN: Training RNN with Stable Convergence via An Efficient ADMM Approach.
CoRR
Yu Tang, Zhigang Kan, Dequan Sun, Linbo Qiao, Jingjing Xiao, Zhiquan Lai, Dongsheng Li
2020 — conf
ADMMiRNN: Training RNN with Stable Convergence via an Efficient ADMM Approach.
ECML/PKDD (2)
Yu Tang, Zhigang Kan, Dequan Sun, Linbo Qiao, Jingjing Xiao, Zhiquan Lai, Dongsheng Li
2020 J jnl
Accelerating SGD using flexible variance reduction on large-scale datasets.
Neural Comput. Appl.
Mingxing Tang, Linbo Qiao, Zhen Huang, Xinwang Liu, Yuxing Peng, Xueliang Liu
2020 J jnl
An efficient parallel and distributed solution to nonconvex penalized linear SVMs.
Frontiers Inf. Technol. Electron. Eng.
Lei Guan, Tao Sun, Linbo Qiao, Zhi-hui Yang, Dongsheng Li, Ke-shi Ge, Xicheng Lu
2020 J jnl
Event Arguments Extraction via Dilate Gated Convolutional Neural Network With Enhanced Local Features.
IEEE Access
Zhigang Kan, Linbo Qiao, Sen Yang, Feng Liu, Feng Huang
2020 J jnl
Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features.
CoRR
Zhigang Kan, Linbo Qiao, Sen Yang, Feng Liu, Feng Huang
2020 J jnl
Towards Practical Privacy-Preserving Decision Tree Training and Evaluation in the Cloud.
IEEE Trans. Inf. Forensics Secur.
Lin Liu, Rongmao Chen, Ximeng Liu, Jinshu Su, Linbo Qiao
2019 J jnl
Bregman reweighted alternating minimization and its application to image deblurring.
Inf. Sci.
Tao Sun, Linbo Qiao, Dongsheng Li
2019 — conf
Exploring Pre-trained Language Models for Event Extraction and Generation.
ACL (1)
Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li
2018 — conf
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines.
ICDM Workshops
Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Keshi Ge, Xicheng Lu
2018 J jnl
An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines.
CoRR
Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Ke-shi Ge, Xicheng Lu
2018 B conf
Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization.
IJCNN
Menglong Lu, Dawei Feng, Linbo Qiao, Dawen Ding, Dongsheng Li
2018 — conf
FVR-SGD: A New Flexible Variance-Reduction Method for SGD on Large-Scale Datasets.
ICONIP (2)
Mingxing Tang, Zhen Huang, Linbo Qiao, Shuyang Du, Yuxing Peng, Changjian Wang
2018 A* conf
Learning for Disparity Estimation Through Feature Constancy.
CVPR
Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang
2018 — conf
Malware Collusion Attack Against Machine Learning Based Methods: Issues and Countermeasures.
ICCCS (5)
Hongyi Chen, Jinshu Su, Linbo Qiao, Yi Zhang, Qin Xin
2018 J jnl
On the Iteration Complexity Analysis of Stochastic Primal-Dual Hybrid Gradient Approach with High Probability.
CoRR
Linbo Qiao, Tianyi Lin, Qi Qin, Xicheng Lu
2018 J jnl
On the iteration complexity analysis of Stochastic Primal-Dual Hybrid Gradient approach with high probability.
Neurocomputing
Linbo Qiao, Tianyi Lin, Qi Qin, Xicheng Lu
2018 J jnl
Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization.
Neurocomputing
Tianyi Lin, Linbo Qiao, Teng Zhang, Jiashi Feng, Bofeng Zhang
2017 J jnl
Learning Deep Correspondence through Prior and Posterior Feature Constancy.
CoRR
Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Linbo Qiao, Wei Chen, Li Zhou, Jianfeng Zhang
2017 J jnl
Stochastic Primal-Dual Proximal ExtraGradient descent for compositely regularized optimization.
CoRR
Tianyi Lin, Linbo Qiao, Teng Zhang, Jiashi Feng, Bofeng Zhang
2016 — conf
An Efficient Algorithm for Tensor Principal Component Analysis via Proximal Linearized Alternating Direction Method of Multipliers.
CBD
Linbo Qiao, Bofeng Zhang, Lei Zhuang, Jinshu Su
2016 — conf
Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes.
ECCV (4)
Jingjing Xiao, Linbo Qiao, Rustam Stolkin, Ales Leonardis
2016 C conf
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization.
ACML
Linbo Qiao, Bofeng Zhang, Jinshu Su, Xicheng Lu
2016 A conf
On Stochastic Primal-Dual Hybrid Gradient Approach for Compositely Regularized Minimization.
ECAI
Linbo Qiao, Tianyi Lin, Yu-Gang Jiang, Fan Yang, Wei Liu, Xicheng Lu
2016 — conf
Rigidly Self-Expressive Sparse Subspace Clustering.
PAKDD Workshops
Linbo Qiao, Bofeng Zhang, Yipin Sun, Jinshu Su
2016 J jnl
Semantic tracking: Single-target tracking with inter-supervised convolutional networks.
CoRR
Jingjing Xiao, Qiang Lan, Linbo Qiao, Ales Leonardis
2015 — conf
Sparse Subspace Clustering for Incomplete Images.
ICCV Workshops
Xiao Wen, Linbo Qiao, Shiqian Ma, Wei Liu, Hong Cheng