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Lujun Li
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2020 – today
- 2024
- [c33]Chendi Zhu, Lujun Li, Yuli Wu, Zhengxing Sun:
SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training. AAAI 2024: 7722-7730 - [c32]Liming Lu, Zhenghan Chen, Xiaoyu Lu, Yihang Rao, Lujun Li, Shuchao Pang:
UniADS: Universal Architecture-Distiller Search for Distillation Gap. AAAI 2024: 14167-14174 - [c31]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: 15814-15822 - [c30]Lujun Li, Zimian Wei, Peijie Dong, Wenhan Luo, Wei Xue, Qifeng Liu, Yike Guo:
AttnZero: Efficient Attention Discovery for Vision Transformers. ECCV (5) 2024: 20-37 - [c29]Lujun Li, Haosen Sun, Shiwen Li, Peijie Dong, Wenhan Luo, Wei Xue, Qifeng Liu, Yike Guo:
Auto-GAS: Automated Proxy Discovery for Training-Free Generative Architecture Search. ECCV (5) 2024: 38-55 - [c28]Haosen Sun, Lujun Li, Peijie Dong, Zimian Wei, Shitong Shao:
Auto-DAS: Automated Proxy Discovery for Training-Free Distillation-Aware Architecture Search. ECCV (5) 2024: 56-73 - [c27]Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu:
LPZero: Language Model Zero-cost Proxy Search from Zero. EMNLP (Findings) 2024: 8592-8614 - [c26]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. ICML 2024 - [c25]Lujun Li, Yufan Bao, Peijie Dong, Chuanguang Yang, Anggeng Li, Wenhan Luo, Qifeng Liu, Wei Xue, Yike Guo:
DetKDS: Knowledge Distillation Search for Object Detectors. ICML 2024 - [i19]Peijie Dong, Lujun Li, Xinglin Pan, Zimian Wei, Xiang Liu, Qiang Wang, Xiaowen Chu:
ParZC: Parametric Zero-Cost Proxies for Efficient NAS. CoRR abs/2402.02105 (2024) - [i18]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 abs/2406.02924 (2024) - [i17]Peijie Dong, Lujun Li, Dayou Du, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Wenhan Luo, Qifeng Liu, Yike Guo, Xiaowen Chu:
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs. CoRR abs/2408.01803 (2024) - [i16]Cheng Lin, Lujun Li, Dezhi Li, Jie Zou, Wei Xue, Yike Guo:
NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models. CoRR abs/2408.10280 (2024) - [i15]Tianyu Wu, Lingrui Mei, Ruibin Yuan, Lujun Li, Wei Xue, Yike Guo:
You Know What I'm Saying: Jailbreak Attack via Implicit Reference. CoRR abs/2410.03857 (2024) - [i14]Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu:
LPZero: Language Model Zero-cost Proxy Search from Zero. CoRR abs/2410.04808 (2024) - 2023
- [c24]Lujun Li, Anggeng Li:
A2-Aug: Adaptive Automated Data Augmentation. CVPR Workshops 2023: 2267-2274 - [c23]Peijie Dong, Lujun Li, Zimian Wei:
DisWOT: Student Architecture Search for Distillation WithOut Training. CVPR 2023: 11898-11908 - [c22]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: 1-5 - [c21]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: 1-5 - [c20]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: 1-5 - [c19]Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan:
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. ICCV 2023: 17030-17040 - [c18]Lujun Li, Peijie Dong, Zimian Wei, Ya Yang:
Automated Knowledge Distillation via Monte Carlo Tree Search. ICCV 2023: 17367-17378 - [c17]Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Xin Niu, Dongsheng Li:
MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets. ICIP 2023: 3379-3383 - [c16]Xiaolong Liu, Lujun Li, Chao Li, Anbang Yao:
NORM: Knowledge Distillation via N-to-One Representation Matching. ICLR 2023 - [c15]Lujun Li, Peijie Dong, Anggeng Li, Zimian Wei, Ya Yang:
KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs. NeurIPS 2023 - [i13]Kunlong Chen, Liu Yang, Yitian Chen, Kunjin Chen, Yidan Xu, Lujun Li:
GP-NAS-ensemble: a model for NAS Performance Prediction. CoRR abs/2301.09231 (2023) - [i12]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 abs/2301.09850 (2023) - [i11]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 abs/2301.10038 (2023) - [i10]Peijie Dong, Lujun Li, Zimian Wei:
DisWOT: Student Architecture Search for Distillation WithOut Training. CoRR abs/2303.15678 (2023) - [i9]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 abs/2305.10769 (2023) - [i8]Xiaolong Liu, Lujun Li, Chao Li, Anbang Yao:
NORM: Knowledge Distillation via N-to-One Representation Matching. CoRR abs/2305.13803 (2023) - [i7]Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan:
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. CoRR abs/2307.10554 (2023) - [i6]Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Zhiliang Tian, Xin Niu, Dongsheng Li:
TVT: Training-Free Vision Transformer Search on Tiny Datasets. CoRR abs/2311.14337 (2023) - [i5]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 abs/2312.09059 (2023) - 2022
- [b1]Lujun Li:
Hybrid and End-to-End Approaches for Noise Robust Automatic Speech Recognition. Technical University of Munich, Germany, 2022 - [c14]Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang:
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. AAAI 2022: 2117-2125 - [c13]Lujun Li:
Self-Regulated Feature Learning via Teacher-free Feature Distillation. ECCV (26) 2022: 347-363 - [c12]Lujun Li, Shiuan-Ni Liang, Ya Yang, Zhe Jin:
Boosting Online Feature Transfer via Separable Feature Fusion. IJCNN 2022: 1-7 - [c11]Lujun Li, Shiuan-Ni Liang, Ya Yang, Zhe Jin:
Teacher-free Distillation via Regularizing Intermediate Representation. IJCNN 2022: 1-6 - [c10]Lujun Li, Zhe Jin:
Shadow Knowledge Distillation: Bridging Offline and Online Knowledge Transfer. NeurIPS 2022 - [i4]Peijie Dong, Xin Niu, Lujun Li, Linzhen Xie, Wenbin Zou, Tian Ye, Zimian Wei, Hengyue Pan:
Prior-Guided One-shot Neural Architecture Search. CoRR abs/2206.13329 (2022) - 2021
- [j4]Lujun Li, Tobias Watzel, Ludwig Kürzinger, Gerhard Rigoll:
Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing. IEEE Access 9: 39098-39110 (2021) - [j3]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): 26 (2021) - [j2]Yiming Hu, Xingang Wang, Lujun Li, Qingyi Gu:
Improving One-Shot NAS with Shrinking-and-Expanding Supernet. Pattern Recognit. 118: 108025 (2021) - [c9]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: 122-132 - [c8]Lujun Li, Ludwig Kürzinger, Tobias Watzel, Gerhard Rigoll:
A Global Discriminant Joint Training Framework for Robust Speech Recognition. ICTAI 2021: 544-551 - [c7]Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll:
Regularized Forward-Backward Decoder for Attention Models. SPECOM 2021: 786-794 - [c6]Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll:
Induced Local Attention for Transformer Models in Speech Recognition. SPECOM 2021: 795-806 - [i3]Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang:
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. CoRR abs/2112.08996 (2021) - 2020
- [c5]Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Lujun Li, Tobias Watzel, Gerhard Rigoll:
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition. SPECOM 2020: 255-266 - [c4]Ludwig Kürzinger, Dominik Winkelbauer, Lujun Li, Tobias Watzel, Gerhard Rigoll:
CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition. SPECOM 2020: 267-278 - [c3]Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll:
Synchronized Forward-Backward Transformer for End-to-End Speech Recognition. SPECOM 2020: 646-656 - [i2]Tobias Watzel, Ludwig Kürzinger, Lujun Li, Gerhard Rigoll:
Regularized Forward-Backward Decoder for Attention Models. CoRR abs/2006.08506 (2020) - [i1]Ludwig Kürzinger, Edgar Ricardo Chavez Rosas, Lujun Li, Tobias Watzel, Gerhard Rigoll:
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition. CoRR abs/2007.10723 (2020)
2010 – 2019
- 2019
- [c2]Ludwig Kürzinger, Tobias Watzel, Lujun Li, Robert Baumgartner, Gerhard Rigoll:
Exploring Hybrid CTC/Attention End-to-End Speech Recognition with Gaussian Processes. SPECOM 2019: 258-269 - [c1]Tobias Watzel, Lujun Li, Ludwig Kürzinger, Gerhard Rigoll:
Deep Neural Network Quantizers Outperforming Continuous Speech Recognition Systems. SPECOM 2019: 530-539 - 2018
- [j1]Lujun Li, Hui Shao, Ruodu Wang, Jingping Yang:
Worst-Case Range Value-at-Risk with Partial Information. SIAM J. Financial Math. 9(1): 190-218 (2018)
Coauthor Index
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last updated on 2024-11-19 20:44 CET by the dblp team
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