Dong, Peijie

20 publications

ICML 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

NeurIPS 2025 ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Liuyue, Bo Li, Xuming Hu, Xiaowen Chu

AAAI 2025 ParZC: Parametric Zero-Cost Proxies for Efficient NAS Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu

ICLR 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

ECCV 2024 AttnZero: Efficient Attention Discovery for Vision Transformers Lujun Li, Zimian Wei, Peijie Dong, Wenhan Luo, Wei Xue, Qifeng Liu, Yike Guo

ECCV 2024 Auto-DAS: Automated Proxy Discovery for Training-Free Distillation-Aware Architecture Search Haosen Sun, Lujun Li, Peijie Dong, Zimian Wei, Shitong Shao

ECCV 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

AAAI 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

ICML 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

NeurIPS 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

NeurIPS 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

ECCV 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

ICML 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

NeurIPS 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

CVPRW 2024 VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang

ICCV 2023 Automated Knowledge Distillation via Monte Carlo Tree Search Lujun Li, Peijie Dong, Zimian Wei, Ya Yang

CVPR 2023 DisWOT: Student Architecture Search for Distillation WithOut Training Peijie Dong, Lujun Li, Zimian Wei

ICCV 2023 EMQ: Evolving Training-Free Proxies for Automated Mixed Precision Quantization Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan

NeurIPS 2023 KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs Lujun Li, Peijie Dong, Anggeng Li, Zimian Wei, Ya Yang

ECCVW 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