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Peijie Dong
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2020 – today
- 2024
- [c21]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 - [c20]Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang:
VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting. CVPR Workshops 2024: 5663-5673 - [c19]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 - [c18]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 - [c17]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 - [c16]Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu:
Multi-task Domain Adaptation for Language Grounding with 3D Objects. ECCV (34) 2024: 387-404 - [c15]Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu:
LongGenBench: Long-context Generation Benchmark. EMNLP (Findings) 2024: 865-883 - [c14]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 - [c13]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 - [c12]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]Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang:
VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting. CoRR abs/2403.16536 (2024) - [i17]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) - [i16]Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu:
Multi-Task Domain Adaptation for Language Grounding with 3D Objects. CoRR abs/2407.02846 (2024) - [i15]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) - [i14]Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu:
LongGenBench: Long-context Generation Benchmark. CoRR abs/2410.04199 (2024) - [i13]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) - [i12]Qi Li, Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Xinglin Pan, Xiaowen Chu:
Should We Really Edit Language Models? On the Evaluation of Edited Language Models. CoRR abs/2410.18785 (2024) - [i11]Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu:
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion. CoRR abs/2410.20380 (2024) - 2023
- [c11]Peijie Dong, Lujun Li, Zimian Wei:
DisWOT: Student Architecture Search for Distillation WithOut Training. CVPR 2023: 11898-11908 - [c10]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 - [c9]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 - [c8]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 - [c7]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 - [c6]Lujun Li, Peijie Dong, Zimian Wei, Ya Yang:
Automated Knowledge Distillation via Monte Carlo Tree Search. ICCV 2023: 17367-17378 - [c5]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 - [c4]Peijie Dong, Xin Niu, Zimian Wei, Hengyue Pan, Dongsheng Li, Zhen Huang:
AutoRF: Auto Learning Receptive Fields with Spatial Pooling. MMM (2) 2023: 683-694 - [c3]Lujun Li, Peijie Dong, Anggeng Li, Zimian Wei, Ya Yang:
KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs. NeurIPS 2023 - [i10]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) - [i9]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) - [i8]Peijie Dong, Lujun Li, Zimian Wei:
DisWOT: Student Architecture Search for Distillation WithOut Training. CoRR abs/2303.15678 (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]Longteng Zhang, Xiang Liu, Zeyu Li, Xinglin Pan, Peijie Dong, Ruibo Fan, Rui Guo, Xin Wang, Qiong Luo, Shaohuai Shi, Xiaowen Chu:
Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models. CoRR abs/2311.03687 (2023) - [i5]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) - [i4]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
- [c2]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. ECCV Workshops (3) 2022: 174-202 - [c1]Zimian Wei, Hengyue Pan, Linbo Qiao, Xin Niu, Peijie Dong, Dongsheng Li:
Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection. ICASSP 2022: 4733-4737 - [i3]Zimian Wei, Hengyue Pan, Xin Niu, Peijie Dong, Dongsheng Li:
UENAS: A Unified Evolution-based NAS Framework. CoRR abs/2203.04300 (2022) - [i2]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) - [i1]Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. CoRR abs/2208.11184 (2022)
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last updated on 2024-12-01 00:18 CET by the dblp team
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