Peijie Dong

According to our database1, Peijie Dong authored at least 33 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2022
2023
2024
0
5
10
15
3
3
3
13
9
2

Legend:

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In proceedings 
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PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Should We Really Edit Language Models? On the Evaluation of Edited Language Models.
CoRR, 2024

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs.
CoRR, 2024

ParZC: Parametric Zero-Cost Proxies for Efficient NAS.
CoRR, 2024

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Should We Really Edit Language Models? On the Evaluation of Edited Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TVT: Training-Free Vision Transformer Search on Tiny Datasets.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

DetKDS: Knowledge Distillation Search for Object Detectors.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

LongGenBench: Long-context Generation Benchmark.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LPZero: Language Model Zero-cost Proxy Search from Zero.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Multi-task Domain Adaptation for Language Grounding with 3D Objects.
Proceedings of the Computer Vision - ECCV 2024, 2024

Auto-DAS: Automated Proxy Discovery for Training-Free Distillation-Aware Architecture Search.
Proceedings of the Computer Vision - ECCV 2024, 2024

AttnZero: Efficient Attention Discovery for Vision Transformers.
Proceedings of the Computer Vision - ECCV 2024, 2024

Auto-GAS: Automated Proxy Discovery for Training-Free Generative Architecture Search.
Proceedings of the Computer Vision - ECCV 2024, 2024

VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.
CoRR, 2023

TVT: Training-Free Vision Transformer Search on Tiny Datasets.
CoRR, 2023

Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models.
CoRR, 2023

KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AutoRF: Auto Learning Receptive Fields with Spatial Pooling.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets.
Proceedings of the IEEE International Conference on Image Processing, 2023

Automated Knowledge Distillation via Monte Carlo Tree Search.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DMFormer: Closing the gap Between CNN and Vision Transformers.
Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Meta-Pooling Learning for Lightweight Image Classification Model.
Proceedings of the IEEE International Conference on Acoustics, 2023

RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies.
Proceedings of the IEEE International Conference on Acoustics, 2023

DisWOT: Student Architecture Search for Distillation WithOut Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.
CoRR, 2022

Prior-Guided One-shot Neural Architecture Search.
CoRR, 2022

UENAS: A Unified Evolution-based NAS Framework.
CoRR, 2022

Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022



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