Lujun Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 46

Top Topics

Neural Architecture

Monte Carlo Tree Search

Gaussian Processes

Speech Recognition

Top Venues

Publications

Chendi Zhu, Lujun Li, Yuli Wu, Zhengxing Sun
SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training. AAAI (2024)
Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models. CoRR (2024)
Liming Lu, Zhenghan Chen, Xiaoyu Lu, Yihang Rao, Lujun Li, Shuchao Pang
UniADS: Universal Architecture-Distiller Search for Distillation Gap. AAAI (2024)
Zimian Wei, Peijie Dong, Zheng Hui, Anggeng Li, Lujun Li, Menglong Lu, Hengyue Pan, Dongsheng Li
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. AAAI (2024)
Peijie Dong, Lujun Li, Xinglin Pan, Zimian Wei, Xiang Liu, Qiang Wang, Xiaowen Chu
ParZC: Parametric Zero-Cost Proxies for Efficient NAS. CoRR (2024)
Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies. ICASSP (2023)
Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies. CoRR (2023)
Peijie Dong, Lujun Li, Zimian Wei
DisWOT: Student Architecture Search for Distillation WithOut Training. CVPR (2023)
Peijie Dong, Lujun Li, Zimian Wei
DisWOT: Student Architecture Search for Distillation WithOut Training. CoRR (2023)
Zimian Wei, Hengyue Pan, Lujun Li, Menglong Lu, Xin Niu, Peijie Dong, Dongsheng Li
DMFormer: Closing the gap Between CNN and Vision Transformers. ICASSP (2023)
Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
Progressive Meta-Pooling Learning for Lightweight Image Classification Model. CoRR (2023)
Shitong Shao, Xu Dai, Shouyi Yin, Lujun Li, Huanran Chen, Yang Hu
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling. CoRR (2023)
Kunlong Chen, Liu Yang, Yitian Chen, Kunjin Chen, Yidan Xu, Lujun Li
GP-NAS-ensemble: a model for NAS Performance Prediction. CoRR (2023)
Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
Progressive Meta-Pooling Learning for Lightweight Image Classification Model. ICASSP (2023)
Zimian Wei, Lujun Li, Peijie Dong, Zheng Hui, Anggeng Li, Menglong Lu, Hengyue Pan, Zhiliang Tian, Dongsheng Li
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. CoRR (2023)
Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. ICCV (2023)
Lujun Li, Anggeng Li
-Aug: Adaptive Automated Data Augmentation. CVPR Workshops (2023)
Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Zhiliang Tian, Xin Niu, Dongsheng Li
TVT: Training-Free Vision Transformer Search on Tiny Datasets. CoRR (2023)
Xiaolong Liu, Lujun Li, Chao Li, Anbang Yao
NORM: Knowledge Distillation via N-to-One Representation Matching. CoRR (2023)
Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. CoRR (2023)
Lujun Li, Peijie Dong, Anggeng Li, Zimian Wei, Ya Yang
KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs. NeurIPS (2023)
Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Xin Niu, Dongsheng Li
MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets. ICIP (2023)
Lujun Li, Peijie Dong, Zimian Wei, Ya Yang
Automated Knowledge Distillation via Monte Carlo Tree Search. ICCV (2023)
Xiaolong Liu, Lujun Li, Chao Li, Anbang Yao
NORM: Knowledge Distillation via N-to-One Representation Matching. ICLR (2023)
Lujun Li, Shiuan-Ni Liang, Ya Yang, Zhe Jin
Teacher-free Distillation via Regularizing Intermediate Representation. IJCNN (2022)
Lujun Li, Zhe Jin
Shadow Knowledge Distillation: Bridging Offline and Online Knowledge Transfer. NeurIPS (2022)
Peijie Dong, Xin Niu, Lujun Li, Linzhen Xie, Wenbin Zou, Tian Ye, Zimian Wei, Hengyue Pan
Prior-Guided One-shot Neural Architecture Search. CoRR (2022)
Lujun Li, Shiuan-Ni Liang, Ya Yang, Zhe Jin
Boosting Online Feature Transfer via Separable Feature Fusion. IJCNN (2022)
Lujun Li
Self-Regulated Feature Learning via Teacher-free Feature Distillation. ECCV (26) (2022)
Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. AAAI (2022)
Shuai Wang, Lujun Li, Zhen Zhang, Hualiang Zhang
DOREP 2.0: An Upgraded Version of Robot Control Teaching Experimental Platform with Reinforcement Learning and Visual Analysis. ICIRA (2) (2021)
Yiming Hu, Xingang Wang, Lujun Li, Qingyi Gu
Improving One-Shot NAS with Shrinking-and-Expanding Supernet. Pattern Recognit. 118 (2021)
Lujun Li, Ludwig Kürzinger, Tobias Watzel, Gerhard Rigoll
A Global Discriminant Joint Training Framework for Robust Speech Recognition. ICTAI (2021)
Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. CoRR (2021)
Lujun Li, Yikai Kang, Yuchen Shi, Ludwig Kürzinger, Tobias Watzel, Gerhard Rigoll
Adversarial joint training with self-attention mechanism for robust end-to-end speech recognition. EURASIP J. Audio Speech Music. Process. 2021 (1) (2021)
Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll
Induced Local Attention for Transformer Models in Speech Recognition. SPECOM (2021)
Lujun Li, Tobias Watzel, Ludwig Kürzinger, Gerhard Rigoll
Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing. IEEE Access 9 (2021)
Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll
Regularized Forward-Backward Decoder for Attention Models. SPECOM (2021)
Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Lujun Li, Tobias Watzel, Gerhard Rigoll
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition. SPECOM (2020)
Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll
Synchronized Forward-Backward Transformer for End-to-End Speech Recognition. SPECOM (2020)
Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll
Regularized Forward-Backward Decoder for Attention Models. CoRR (2020)
Ludwig Kürzinger, Dominik Winkelbauer, Lujun Li, Tobias Watzel, Gerhard Rigoll
CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition. SPECOM (2020)
Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Lujun Li, Tobias Watzel, Gerhard Rigoll
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition. CoRR (2020)
Tobias Watzel, Lujun Li, Ludwig Kürzinger, Gerhard Rigoll
Deep Neural Network Quantizers Outperforming Continuous Speech Recognition Systems. SPECOM (2019)
Ludwig Kürzinger, Tobias Watzel, Lujun Li, Robert Baumgartner, Gerhard Rigoll
Exploring Hybrid CTC/Attention End-to-End Speech Recognition with Gaussian Processes. SPECOM (2019)
Lujun Li, Hui Shao, Ruodu Wang, Jingping Yang
Worst-Case Range Value-at-Risk with Partial Information. SIAM J. Financial Math. 9 (1) (2018)