| 2026 | AAAI | ParaDySe: A Parallel Strategy Switching Framework for Dynamic Sequences in Transformer-based Large Language Models. | Zhixin Ou, Peng Liang, Linbo Qiao, Jianchen Han, Baihui Liu |
| 2026 | ACL | Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference. | Baihui Liu, Kaiyuan Tian, Wei Wang, Zhaoning Zhang, Linbo Qiao, Dongsheng Li |
| 2026 | ACL | GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning. | Kaiyuan Tian, Linbo Qiao, Yu Tang, Gongqingjian Jiang, Baihui Liu, Yifu Gao, Xialin Su, Dongsheng Li |
| 2026 | ACL | Emotion Trajectory-aware Retrieval for Markov-driven Emotion Anticipation in LLM-based Emotional Support Conversation. | Hongyan Wu, Zhiliang Tian, Zhen Huang, Tengyue Hu, Linbo Qiao, Yifu Gao, Feng Liu, Dongsheng Li |
| 2025 | ACL | LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis. | Zhiliang Tian, Jingyuan Huang, Zejiang He, Zhen Huang, Menglong Lu, Linbo Qiao, Songzhu Mei, Yijie Wang, Dongsheng Li |
| 2025 | ICONIP | Multi-granularity Complex Question Answering Over Temporal Knowledge Graphs. | Jiahui Yang, Yifu Gao, Linbo Qiao, Ruchen Yi, Lang Yuan |
| 2025 | IJCNN | ALM-KD: Adaptive Layer Mapping Knowledge Distillation for LLMs. | Xu Baizhou, Zhilin Yang, Niu Xin, Zhaoning Zhang, Huang Zheng, Linbo Qiao, Yafei Qi |
| 2025 | KSEM | Harnessing Heterogeneous Social Networks for Better Group Recommendations: An Integrated Approach Towards Cold-Start Problem. | Yunwei Zhao, Songtao Peng, Linbo Qiao, Qiwei Ye, Han Han, Shanqing Yu |
| 2024 | ACL | 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 |
| 2024 | COLING | Emancipating Event Extraction from the Constraints of Long-Tailed Distribution Data Utilizing Large Language Models. | Zhigang Kan, Liwen Peng, Linbo Qiao, Dongsheng Li |
| 2024 | ICASSP | FDIG: A Fine-Grained Data Integration Approach for Group Recommendation. | Qiwei Ye, Fan Yang, Jing Lu, Yu Tang, Linbo Qiao, Yunwei Zhao |
| 2024 | ICASSP | 3D Parallelism for Transformers via Integer Programming. | Hao Zheng, Peng Liang, Yu Tang, Yanqi Shi, Linbo Qiao, Dongsheng Li |
| 2024 | IJCNN | FEW: Multi-modal Recommendation for Cold-Start. | Qiwei Ye, Linbo Qiao, Zhixin Ou, Kaixi Yang, Fan Yang |
| 2024 | WWW | LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction. | Zhigang Kan, Liwen Peng, Yifu Gao, Ning Liu, Linbo Qiao, Dongsheng Li |
| 2023 | ACL | 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 |
| 2023 | ICA3PP | Parallelized ADMM with General Objectives for Deep Learning. | Yanqi Shi, Yu Tang, Hao Zheng, Zhigang Kan, Linbo Qiao |
| 2022 | ICASSP | Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection. | Zimian Wei, Hengyue Pan, Linbo Qiao, Xin Niu, Peijie Dong, Dongsheng Li |
| 2022 | IJCAI | Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure. | Yifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li |
| 2022 | IJCNN | Event Coreference Resolution based on Convolutional Siamese network and Circle Loss. | Beiya Dai, Jiangang Qian, Shiqing Cheng, Linbo Qiao, Dongsheng Li |
| 2021 | CIKM | 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, Xiangke Liao |
| 2021 | ICASSP | Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. | Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li |
| 2021 | ICPP | 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 |
| 2021 | KSEM | Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction. | Linhui Feng, Linbo Qiao, Yi Han, Zhigang Kan, Yifu Gao, Dongsheng Li |
| 2021 | PAKDD | CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network. | Qi Zhai, Zhigang Kan, Sen Yang, Linbo Qiao, Feng Liu, Dongsheng Li |
| 2019 | ACL | Exploring Pre-trained Language Models for Event Extraction and Generation. | Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li |
| 2018 | CVPR | Learning for Disparity Estimation Through Feature Constancy. | Zhengfa Liang, Yiliu Feng, Yulan Guo, Hengzhu Liu, Wei Chen, Linbo Qiao, Li Zhou, Jianfeng Zhang |
| 2018 | ICDM | An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. | Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Keshi Ge, Xicheng Lu |
| 2018 | ICONIP | FVR-SGD: A New Flexible Variance-Reduction Method for SGD on Large-Scale Datasets. | Mingxing Tang, Zhen Huang, Linbo Qiao, Shuyang Du, Yuxing Peng, Changjian Wang |
| 2018 | IJCNN | Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization. | Menglong Lu, Dawei Feng, Linbo Qiao, Dawen Ding, Dongsheng Li |
| 2016 | ACML | Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization. | Linbo Qiao, Bofeng Zhang, Jinshu Su, Xicheng Lu |
| 2016 | ECAI | On Stochastic Primal-Dual Hybrid Gradient Approach for Compositely Regularized Minimization. | Linbo Qiao, Tianyi Lin, Yu-Gang Jiang, Fan Yang, Wei Liu, Xicheng Lu |
| 2016 | ECCV | Distractor-Supported Single Target Tracking in Extremely Cluttered Scenes. | Jingjing Xiao, Linbo Qiao, Rustam Stolkin, Ales Leonardis |
| 2016 | PAKDD | Rigidly Self-Expressive Sparse Subspace Clustering. | Linbo Qiao, Bofeng Zhang, Yipin Sun, Jinshu Su |