Peijie Dong

According to our database, Peijie Dong authored at least 44 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Intern-S1: A Scientific Multimodal Foundation Model.

Lei Bai, Zhongrui Cai, Yuhang Cao, Maosong Cao, Weihan Cao, Chiyu Chen, Haojiong Chen, Kai Chen, Pengcheng Chen, Ying Chen, Yongkang Chen, Yu Cheng, Pei Chu, Tao Chu, Erfei Cui, Ganqu Cui, Long Cui, Ziyun Cui, Nianchen Deng, Ning Ding, Nanqing Dong, Peijie Dong, Shihan Dou, Sinan Du, Haodong Duan, Caihua Fan, Ben Gao, Changjiang Gao, Jianfei Gao, Songyang Gao, Yang Gao, Zhangwei Gao, Jiaye Ge, Qiming Ge, Lixin Gu, Yuzhe Gu, Aijia Guo, Qipeng Guo, Xu Guo, Conghui He, Junjun He, Yili Hong, Siyuan Hou, Caiyu Hu, Hanglei Hu, Jucheng Hu, Ming Hu, Zhouqi Hua, Haian Huang, Junhao Huang, Xu Huang, Zixian Huang, Zhe Jiang, Lingkai Kong, Linyang Li, Peiji Li, Pengze Li, Shuaibin Li, Tianbin Li, Wei Li, Yuqiang Li, Dahua Lin, Junyao Lin, Tianyi Lin, Zhishan Lin, Hongwei Liu, Jiangning Liu, Jiyao Liu, Junnan Liu, Kai Liu, Kaiwen Liu, Kuikun Liu, Shichun Liu, Shudong Liu, Wei Liu, Xinyao Liu, Yuhong Liu, Zhan Liu, Yinquan Lu, Haijun Lv, Hongxia Lv, Huijie Lv, Qitan Lv, Ying Lv, Chengqi Lyu, Chenglong Ma, Jianpeng Ma, Ren Ma, Runmin Ma, Runyuan Ma, Xinzhu Ma, Yichuan Ma, Zihan Ma, Sixuan Mi, Junzhi Ning, Wenchang Ning, Xinle Pang, Jiahui Peng, Runyu Peng, Yu Qiao

CoRR, August, 2025

Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Tasks.

Kai Liu, Zhan Su, Peijie Dong, Fengran Mo, Jianfei Gao, Shaoting Zhang, Kai Chen

CoRR, July, 2025

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression.

Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li

CoRR, May, 2025

The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?

Zhenheng Tang, Xiang Liu, Qian Wang, Peijie Dong, Bingsheng He, Xiaowen Chu, Bo Li

CoRR, February, 2025

Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research.

Xiang Liu, Penglei Sun, Shuyan Chen, Longhan Zhang, Peijie Dong, Huajie You, Yongqi Zhang, Chang Yan, Xiaowen Chu, Tong-yi Zhang

CoRR, February, 2025

Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing.

Kunfeng Lai, Zhenheng Tang, Xinglin Pan, Peijie Dong, Xiang Liu, Haolan Chen, Li Shen, Bo Li, Xiaowen Chu

CoRR, February, 2025

Can LLMs Maintain Fundamental Abilities under KV Cache Compression?

Xiang Liu, Zhenheng Tang, Hong Chen, Peijie Dong, Zeyu Li, Xiuze Zhou, Bo Li, Xuming Hu, Xiaowen Chu

CoRR, February, 2025

ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference.

Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Bo Li, Xuming Hu, Xiaowen Chu

CoRR, February, 2025

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

Peijie Dong, Lujun Li, Yuedong Zhong, Dayou Du, Ruibo Fan, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Yike Guo, Xiaowen Chu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs.

Ruibo Fan, Xiangrui Yu, Peijie Dong, Zeyu Li, Gu Gong, Qiang Wang, Wei Wang, Xiaowen Chu

Proceedings of the Twentieth European Conference on Computer Systems, 2025

ParZC: Parametric Zero-Cost Proxies for Efficient NAS.

Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

Peijie Dong, Lujun Li, Dayou Du, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Wenhan Luo, Qifeng Liu, Yike Guo, Xiaowen Chu

CoRR, 2024

ParZC: Parametric Zero-Cost Proxies for Efficient NAS.

Peijie Dong, Lujun Li, Xinglin Pan, Zimian Wei, Xiang Liu, Qiang Wang, Xiaowen Chu

CoRR, 2024

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion.

Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu

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.

Qi Li, Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Xinglin Pan, Xiaowen Chu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models.

Lujun Li, Peijie Dong, Zhenheng Tang, Xiang Liu, Qiang Wang, Wenhan Luo, Wei Xue, Qifeng Liu, Xiaowen Chu, Yike Guo

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.

Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Dongsheng Li

Proceedings of the Pattern Recognition - 27th International Conference, 2024

DetKDS: Knowledge Distillation Search for Object Detectors.

Lujun Li, Yufan Bao, Peijie Dong, Chuanguang Yang, Anggeng Li, Wenhan Luo, Qifeng Liu, Wei Xue, Yike Guo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models.

Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LongGenBench: Long-context Generation Benchmark.

Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LPZero: Language Model Zero-cost Proxy Search from Zero.

Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Multi-task Domain Adaptation for Language Grounding with 3D Objects.

Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu

Proceedings of the Computer Vision - ECCV 2024, 2024

Auto-DAS: Automated Proxy Discovery for Training-Free Distillation-Aware Architecture Search.

Haosen Sun, Lujun Li, Peijie Dong, Zimian Wei, Shitong Shao

Proceedings of the Computer Vision - ECCV 2024, 2024

AttnZero: Efficient Attention Discovery for Vision Transformers.

Lujun Li, Zimian Wei, Peijie Dong, Wenhan Luo, Wei Xue, Qifeng Liu, Yike Guo

Proceedings of the Computer Vision - ECCV 2024, 2024

Auto-GAS: Automated Proxy Discovery for Training-Free Generative Architecture Search.

Lujun Li, Haosen Sun, Shiwen Li, Peijie Dong, Wenhan Luo, Wei Xue, Qifeng Liu, Yike Guo

Proceedings of the Computer Vision - ECCV 2024, 2024

VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting.

Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang

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.

Zimian Wei, Peijie Dong, Zheng Hui, Anggeng Li, Lujun Li, Menglong Lu, Hengyue Pan, Dongsheng Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Zimian Wei, Lujun Li, Peijie Dong, Zheng Hui, Anggeng Li, Menglong Lu, Hengyue Pan, Zhiliang Tian, Dongsheng Li

CoRR, 2023

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

Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Zhiliang Tian, Xin Niu, Dongsheng Li

CoRR, 2023

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

Longteng Zhang, Xiang Liu, Zeyu Li, Xinglin Pan, Peijie Dong, Ruibo Fan, Rui Guo, Xin Wang, Qiong Luo, Shaohuai Shi, Xiaowen Chu

CoRR, 2023

KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs.

Lujun Li, Peijie Dong, Anggeng Li, Zimian Wei, Ya Yang

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.

Peijie Dong, Xin Niu, Zimian Wei, Hengyue Pan, Dongsheng Li, Zhen Huang

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets.

Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Xin Niu, Dongsheng Li

Proceedings of the IEEE International Conference on Image Processing, 2023

Automated Knowledge Distillation via Monte Carlo Tree Search.

Lujun Li, Peijie Dong, Zimian Wei, Ya Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.

Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DMFormer: Closing the gap Between CNN and Vision Transformers.

Zimian Wei, Hengyue Pan, Lujun Li, Menglong Lu, Xin Niu, Peijie Dong, Dongsheng Li

Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Meta-Pooling Learning for Lightweight Image Classification Model.

Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li

Proceedings of the IEEE International Conference on Acoustics, 2023

RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies.

Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li

Proceedings of the IEEE International Conference on Acoustics, 2023

DisWOT: Student Architecture Search for Distillation WithOut Training.

Peijie Dong, Lujun Li, Zimian Wei

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.

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

CoRR, 2022

Prior-Guided One-shot Neural Architecture Search.

Peijie Dong, Xin Niu, Lujun Li, Linzhen Xie, Wenbin Zou, Tian Ye, Zimian Wei, Hengyue Pan

CoRR, 2022

UENAS: A Unified Evolution-based NAS Framework.

Zimian Wei, Hengyue Pan, Xin Niu, Peijie Dong, Dongsheng Li

CoRR, 2022

Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection.

Zimian Wei, Hengyue Pan, Linbo Qiao, Xin Niu, Peijie Dong, Dongsheng Li

Proceedings of the IEEE International Conference on Acoustics, 2022

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

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

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022