Peijie Dong

57 papers A* 13A 1B 1Misc 4Journal 27Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dissecting Outlier Dynamics in LLM NVFP4 Pretraining.
CoRR
Peijie Dong, Ruibo Fan, Yuechen Tao, Di Mou, Wenhu Hu, Zhenheng Tang, Yinghao Yu, Jiamang Wang, Wenbo Su, Guodong Yang, Liping Zhang, Xiaowen Chu, Baochun Li, Bo Li
2025 A* conf
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression.
ICML
Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li
2025 J jnl
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression.
CoRR
Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li
2025 J jnl
Can LLMs Maintain Fundamental Abilities under KV Cache Compression?
CoRR
Xiang Liu, Zhenheng Tang, Hong Chen, Peijie Dong, Zeyu Li, Xiuze Zhou, Bo Li, Xuming Hu, Xiaowen Chu
2025 J jnl
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference.
CoRR
Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Bo Li, Xuming Hu, Xiaowen Chu
2025 J jnl
Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing.
CoRR
Kunfeng Lai, Zhenheng Tang, Xinglin Pan, Peijie Dong, Xiang Liu, Haolan Chen, Li Shen, Bo Li, Xiaowen Chu
2025 A* conf
ParZC: Parametric Zero-Cost Proxies for Efficient NAS.
AAAI
Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu
2025 — conf
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research.
EMNLP (Findings)
Xiang Liu, Penglei Sun, Shuyan Chen, Longhan Zhang, Peijie Dong, Huajie You, Yongqi Zhang, Chang Yan, Xiaowen Chu, Tong-yi Zhang
2025 J jnl
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research.
CoRR
Xiang Liu, Penglei Sun, Shuyan Chen, Longhan Zhang, Peijie Dong, Huajie You, Yongqi Zhang, Chang Yan, Xiaowen Chu, Tong-yi Zhang
2025 A* conf
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs.
ICLR
Peijie Dong, Lujun Li, Yuedong Zhong, Dayou Du, Ruibo Fan, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Yike Guo, Xiaowen Chu
2025 J jnl
Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Tasks.
CoRR
Kai Liu, Zhan Su, Peijie Dong, Fengran Mo, Jianfei Gao, Shaoting Zhang, Kai Chen
2025 A conf
SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs.
EuroSys
Ruibo Fan, Xiangrui Yu, Peijie Dong, Zeyu Li, Gu Gong, Qiang Wang, Wei Wang, Xiaowen Chu
2025 J jnl
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?
CoRR
Zhenheng Tang, Xiang Liu, Qian Wang, Peijie Dong, Bingsheng He, Xiaowen Chu, Bo Li
2024 — conf
AttnZero: Efficient Attention Discovery for Vision Transformers.
ECCV (5)
Lujun Li, Zimian Wei, Peijie Dong, Wenhan Luo, Wei Xue, Qifeng Liu, Yike Guo
2024 — conf
Auto-DAS: Automated Proxy Discovery for Training-Free Distillation-Aware Architecture Search.
ECCV (5)
Haosen Sun, Lujun Li, Peijie Dong, Zimian Wei, Shitong Shao
2024 — conf
Auto-GAS: Automated Proxy Discovery for Training-Free Generative Architecture Search.
ECCV (5)
Lujun Li, Haosen Sun, Shiwen Li, Peijie Dong, Wenhan Luo, Wei Xue, Qifeng Liu, Yike Guo
2024 A* conf
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.
AAAI
Zimian Wei, Peijie Dong, Zheng Hui, Anggeng Li, Lujun Li, Menglong Lu, Hengyue Pan, Dongsheng Li
2024 A* conf
DetKDS: Knowledge Distillation Search for Object Detectors.
ICML
Lujun Li, Yufan Bao, Peijie Dong, Chuanguang Yang, Anggeng Li, Wenhan Luo, Qifeng Liu, Wei Xue, Yike Guo
2024 A* conf
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models.
NeurIPS
Lujun Li, Peijie Dong, Zhenheng Tang, Xiang Liu, Qiang Wang, Wenhan Luo, Wei Xue, Qifeng Liu, Xiaowen Chu, Yike Guo
2024 A* conf
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion.
NeurIPS
Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu
2024 J jnl
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion.
CoRR
Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu
2024 — conf
LPZero: Language Model Zero-cost Proxy Search from Zero.
EMNLP (Findings)
Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu
2024 J jnl
LPZero: Language Model Zero-cost Proxy Search from Zero.
CoRR
Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu
2024 — conf
LongGenBench: Long-context Generation Benchmark.
EMNLP (Findings)
Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu
2024 J jnl
LongGenBench: Long-context Generation Benchmark.
CoRR
Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu
2024 J jnl
Multi-Task Domain Adaptation for Language Grounding with 3D Objects.
CoRR
Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu
2024 — conf
Multi-task Domain Adaptation for Language Grounding with 3D Objects.
ECCV (34)
Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu
2024 J jnl
ParZC: Parametric Zero-Cost Proxies for Efficient NAS.
CoRR
Peijie Dong, Lujun Li, Xinglin Pan, Zimian Wei, Xiang Liu, Qiang Wang, Xiaowen Chu
2024 A* conf
Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models.
ICML
Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu
2024 J jnl
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models.
CoRR
Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu
2024 J jnl
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs.
CoRR
Peijie Dong, Lujun Li, Dayou Du, Yuhan Chen, Zhenheng Tang, Qiang Wang, Wei Xue, Wenhan Luo, Qifeng Liu, Yike Guo, Xiaowen Chu
2024 A* conf
Should We Really Edit Language Models? On the Evaluation of Edited Language Models.
NeurIPS
Qi Li, Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Xinglin Pan, Xiaowen Chu
2024 J jnl
Should We Really Edit Language Models? On the Evaluation of Edited Language Models.
CoRR
Qi Li, Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Xinglin Pan, Xiaowen Chu
2024 — conf
TVT: Training-Free Vision Transformer Search on Tiny Datasets.
ICPR (5)
Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Dongsheng Li
2024 — conf
VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting.
CVPR Workshops
Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang
2024 J jnl
VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting.
CoRR
Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang
2023 J jnl
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery.
CoRR
Zimian Wei, Lujun Li, Peijie Dong, Zheng Hui, Anggeng Li, Menglong Lu, Hengyue Pan, Zhiliang Tian, Dongsheng Li
2023 — conf
AutoRF: Auto Learning Receptive Fields with Spatial Pooling.
MMM (2)
Peijie Dong, Xin Niu, Zimian Wei, Hengyue Pan, Dongsheng Li, Zhen Huang
2023 A* conf
Automated Knowledge Distillation via Monte Carlo Tree Search.
ICCV
Lujun Li, Peijie Dong, Zimian Wei, Ya Yang
2023 Misc conf
DMFormer: Closing the gap Between CNN and Vision Transformers.
ICASSP
Zimian Wei, Hengyue Pan, Lujun Li, Menglong Lu, Xin Niu, Peijie Dong, Dongsheng Li
2023 A* conf
DisWOT: Student Architecture Search for Distillation WithOut Training.
CVPR
Peijie Dong, Lujun Li, Zimian Wei
2023 J jnl
DisWOT: Student Architecture Search for Distillation WithOut Training.
CoRR
Peijie Dong, Lujun Li, Zimian Wei
2023 J jnl
Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models.
CoRR
Longteng Zhang, Xiang Liu, Zeyu Li, Xinglin Pan, Peijie Dong, Ruibo Fan, Rui Guo, Xin Wang, Qiong Luo, Shaohuai Shi, Xiaowen Chu
2023 A* conf
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.
ICCV
Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan
2023 J jnl
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization.
CoRR
Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan
2023 A* conf
KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs.
NeurIPS
Lujun Li, Peijie Dong, Anggeng Li, Zimian Wei, Ya Yang
2023 B conf
MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets.
ICIP
Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Xin Niu, Dongsheng Li
2023 Misc conf
Progressive Meta-Pooling Learning for Lightweight Image Classification Model.
ICASSP
Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
2023 J jnl
Progressive Meta-Pooling Learning for Lightweight Image Classification Model.
CoRR
Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
2023 Misc conf
RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies.
ICASSP
Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
2023 J jnl
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies.
CoRR
Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li
2023 J jnl
TVT: Training-Free Vision Transformer Search on Tiny Datasets.
CoRR
Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Zhiliang Tian, Xin Niu, Dongsheng Li
2022 — conf
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.
ECCV Workshops (3)
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, 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
2022 J jnl
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.
CoRR
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
2022 Misc conf
Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection.
ICASSP
Zimian Wei, Hengyue Pan, Linbo Qiao, Xin Niu, Peijie Dong, Dongsheng Li
2022 J jnl
Prior-Guided One-shot Neural Architecture Search.
CoRR
Peijie Dong, Xin Niu, Lujun Li, Linzhen Xie, Wenbin Zou, Tian Ye, Zimian Wei, Hengyue Pan
2022 J jnl
UENAS: A Unified Evolution-based NAS Framework.
CoRR
Zimian Wei, Hengyue Pan, Xin Niu, Peijie Dong, Dongsheng Li