| 2026 | AAAI | Improving Sparse IMU-based Motion Capture with Motion Label Smoothing. | Zhaorui Meng, Lu Yin, Yangqing Hou, Anjun Chen, Shihui Guo, Yipeng Qin |
| 2026 | ACL | SemPA: Improving Sentence Embeddings of Large Language Models through Semantic Preference Alignment. | Ziyang Chen, Zhenxuan Huang, Yile Wang, Weiqin Wang, Lu Yin, Hui Huang |
| 2026 | ACL | Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models. | Hanqi Yan, Xiangxiang Cui, Lu Yin, Jindong Gu, Paul Pu Liang, Yulan He, Yifei Wang |
| 2025 | ACL | Outlier-weighed Layerwise Sampling for LLM Fine-tuning. | Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei Liu |
| 2025 | DIS | Aspect-Based Few-Shot Learning. | Tim van Engeland, Lu Yin, Vlado Menkovski |
| 2025 | ICASSP | Full-Rank No More: Low-Rank Weight Training for Modern Speech Recognition Models. | Adriana Fernandez-Lopez, Shiwei Liu, Lu Yin, Stavros Petridis, Maja Pantic |
| 2025 | ICCV | MagShield: Towards Better Robustness in Sparse Inertial Motion Capture Under Magnetic Disturbances. | Yunzhe Shao, Xinyu Yi, Lu Yin, Shihui Guo, Junhai Yong, Feng Xu |
| 2025 | ICLR | TODO: Enhancing LLM Alignment with Ternary Preferences. | Yuxiang Guo, Lu Yin, Bo Jiang, Jiaqi Zhang |
| 2025 | ICLR | SEBRA : Debiasing through Self-Guided Bias Ranking. | Adarsh Kappiyath, Abhra Chaudhuri, Ajay Kumar Jaiswal, Ziquan Liu, Yunpeng Li, Xiatian Zhu, Lu Yin |
| 2025 | ICLR | Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN. | Pengxiang Li, Lu Yin, Shiwei Liu |
| 2025 | ICML | From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications. | Ajay Kumar Jaiswal, Yifan Wang, Lu Yin, Shiwei Liu, Runjin Chen, Jiawei Zhao, Ananth Grama, Yuandong Tian, Zhangyang Wang |
| 2025 | ICML | LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning. | Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu |
| 2025 | IJCNN | OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving Framework. | Jiaxi Li, Lu Yin, Xilu Wang |
| 2025 | IJCNN | Multi-View Graph Learning with Dynamic Evidential Fusion for Response Forecasting. | Lu Yin, Jinchuan Zhang, Yan Zhou, Liangjun Zang, Zhaoxing Li, Songlin Hu |
| 2024 | BMVC | Are Sparse Neural Networks Better Hard Sample Learners? | Qiao Xiao, Boqian Wu, Lu Yin, Christopher Neil Gadzinski, Tianjin Huang, Mykola Pechenizkiy, Decebal Constantin Mocanu |
| 2024 | EMNLP | Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning. | Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, Ajay Jaiswal, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu |
| 2024 | EMNLP | FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. | Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella |
| 2024 | ICLR | NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization. | Gen Li, Lu Yin, Jie Ji, Wei Niu, Minghai Qin, Bin Ren, Linke Guo, Shiwei Liu, Xiaolong Ma |
| 2024 | ICML | Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs. | Lu Yin, Ajay Kumar Jaiswal, Shiwei Liu, Souvik Kundu, Zhangyang Wang |
| 2024 | ICML | Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity. | Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu |
| 2024 | ICML | Advancing Dynamic Sparse Training by Exploring Optimization Opportunities. | Jie Ji, Gen Li, Lu Yin, Minghai Qin, Geng Yuan, Linke Guo, Shiwei Liu, Xiaolong Ma |
| 2024 | Interspeech | MSRS: Training Multimodal Speech Recognition Models from Scratch with Sparse Mask Optimization. | Adriana Fernandez-Lopez, Honglie Chen, Pingchuan Ma, Lu Yin, Qiao Xiao, Stavros Petridis, Shiwei Liu, Maja Pantic |
| 2024 | Interspeech | Dynamic Data Pruning for Automatic Speech Recognition. | Qiao Xiao, Pingchuan Ma, Adriana Fernandez-Lopez, Boqian Wu, Lu Yin, Stavros Petridis, Mykola Pechenizkiy, Maja Pantic, Decebal Constantin Mocanu, Shiwei Liu |
| 2024 | IDA | A Structural-Clustering Based Active Learning for Graph Neural Networks. | Ricky Maulana Fajri, Yulong Pei, Lu Yin, Mykola Pechenizkiy |
| 2024 | WCNC | IM-TLP: An Integrity Monitoring Algorithm for Two-Stage LCX Positioning Systems. | Tianzhu Song, Lu Yin, Yuan Sun, Wenfang Guo |
| 2023 | AAAI | Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost. | Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy |
| 2023 | ICML | Are Large Kernels Better Teachers than Transformers for ConvNets? | Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu |
| 2022 | IDA | Semantic-Based Few-Shot Classification by Psychometric Learning. | Lu Yin, Vlado Menkovski, Yulong Pei, Mykola Pechenizkiy |
| 2022 | UAI | Superposing many tickets into one: A performance booster for sparse neural network training. | Lu Yin, Vlado Menkovski, Meng Fang, Tianjin Huang, Yulong Pei, Mykola Pechenizkiy |
| 2021 | ACML | Hierarchical Semantic Segmentation using Psychometric Learning. | Lu Yin, Vlado Menkovski, Shiwei Liu, Mykola Pechenizkiy |
| 2021 | ICML | Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training. | Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy |
| 2021 | WWW | Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. | Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang |
| 2020 | IJCAI | Beyond Labels: Knowledge Elicitation using Deep Metric Learning and Psychometric Testing. | Lu Yin |
| 2019 | HPCC | An Aging-Aware Routing Algorithm for Improving Reliability in NoC-Based Multicore Systems. | Lu Yin, Yi Zhang, Junlong Zhou, Qing Chang, Jin Sun |
| 2018 | ICASSP | On SDW-MWF and Variable Span Linear Filter with Application to Speech Recognition in Noisy Environments. | Ziteng Wang, Lu Yin, Junfeng Li, Yonghong Yan |
| 2018 | Interspeech | Multi-talker Speech Separation Based on Permutation Invariant Training and Beamforming. | Lu Yin, Ziteng Wang, Risheng Xia, Junfeng Li, Yonghong Yan |
| 2017 | ICVS | Wind Disturbance Rejection in Position Control of Unmanned Helicopter by Nonlinear Damping. | Xiaorui Zhu, Lu Yin, Fucheng Deng |
| 2013 | ICIG | The Application of Local Structure Classification in Content-Based 3D Medical Image Retrieval. | Shuzhao Dong, Kaikun Dong, Lu Yin |
| 2013 | ICIG | 3D Segmentation of the Lung Based on the Neighbor Information and Curvature. | Yuankai Qi, Kaikun Dong, Lu Yin, Mingchao Li |
| 2011 | MVA | Headdress Detection Based on Saliency Map for Thangka Portrait Image. | Lu Yin, Weilan Wang |