Improving One-Shot NAS with Shrinking-and-Expanding Supernet. - Yiming Hu; Xingang Wang 003; Lujun Li 001; Qingyi Gu (Pattern Recognit., 2021)

Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation. - Jie Qin; Jie Wu 032; Xuefeng Xiao 001; Lujun Li 001; Xingang Wang (AAAI, 2022)

Self-Regulated Feature Learning via Teacher-free Feature Distillation. - Lujun Li 001 (ECCV (26), 2022)

Boosting Online Feature Transfer via Separable Feature Fusion. - Lujun Li 001; Shiuan-Ni Liang; Ya Yang; Zhe Jin (IJCNN, 2022)

Teacher-free Distillation via Regularizing Intermediate Representation. - Lujun Li 001; Shiuan-Ni Liang; Ya Yang; Zhe Jin (IJCNN, 2022)

Prior-Guided One-shot Neural Architecture Search. - Peijie Dong; Xin Niu 002; Lujun Li 001; Linzhen Xie; Wenbin Zou; Tian Ye 001; Zimian Wei; Hengyue Pan (CoRR, 2022)

DisWOT: Student Architecture Search for Distillation WithOut Training. - Peijie Dong; Lujun Li 001; Zimian Wei (CVPR, 2023)

A2-Aug: Adaptive Automated Data Augmentation. - Lujun Li 001; Anggeng Li (CVPR Workshops, 2023)

RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies. - Peijie Dong; Xin Niu 002; Lujun Li 001; Zhiliang Tian; Xiaodong Wang 002; Zimian Wei; Hengyue Pan; Dongsheng Li 001 (ICASSP, 2023)

Progressive Meta-Pooling Learning for Lightweight Image Classification Model. - Peijie Dong; Xin Niu 002; Zhiliang Tian; Lujun Li 001; Xiaodong Wang 002; Zimian Wei; Hengyue Pan; Dongsheng Li 001 (ICASSP, 2023)

DMFormer: Closing the gap Between CNN and Vision Transformers. - Zimian Wei; Hengyue Pan; Lujun Li 001; Menglong Lu; Xin Niu 002; Peijie Dong; Dongsheng Li 001 (ICASSP, 2023)

EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. - Peijie Dong; Lujun Li 001; Zimian Wei; Xin Niu 002; Zhiliang Tian; Hengyue Pan (ICCV, 2023)

Automated Knowledge Distillation via Monte Carlo Tree Search. - Lujun Li 001; Peijie Dong; Zimian Wei; Ya Yang (ICCV, 2023)

MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets. - Zimian Wei; Hengyue Pan; Lujun Li 001; Peijie Dong; Xin Niu 002; Dongsheng Li 001 (ICIP, 2023)

NORM: Knowledge Distillation via N-to-One Representation Matching. - Xiaolong Liu; Lujun Li 001; Chao Li; Anbang Yao (ICLR, 2023)

KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs. - Lujun Li 001; Peijie Dong; Anggeng Li; Zimian Wei; Ya Yang (NeurIPS, 2023)

GP-NAS-ensemble: a model for NAS Performance Prediction. - Kunlong Chen; Liu Yang; Yitian Chen; Kunjin Chen; Yidan Xu; Lujun Li 001 (CoRR, 2023)

Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling. - Shitong Shao; Xu Dai; Shouyi Yin; Lujun Li 001; Huanran Chen; Yang Hu 001 (CoRR, 2023)

TVT: Training-Free Vision Transformer Search on Tiny Datasets. - Zimian Wei; Hengyue Pan; Lujun Li 001; Peijie Dong; Zhiliang Tian; Xin Niu 002; Dongsheng Li 001 (CoRR, 2023)

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. - Zimian Wei; Lujun Li 001; Peijie Dong; Zheng Hui; Anggeng Li; Menglong Lu; Hengyue Pan; Zhiliang Tian; Dongsheng Li 001 (CoRR, 2023)

UniADS: Universal Architecture-Distiller Search for Distillation Gap. - Liming Lu; Zhenghan Chen; Xiaoyu Lu; Yihang Rao; Lujun Li 001; Shuchao Pang (AAAI, 2024)

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. - Zimian Wei; Peijie Dong; Zheng Hui; Anggeng Li; Lujun Li 001; Menglong Lu; Hengyue Pan; Dongsheng Li 001 (AAAI, 2024)

SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training. - Chendi Zhu; Lujun Li 001; Yuli Wu 001; Zhengxing Sun (AAAI, 2024)

Auto-GAS: Automated Proxy Discovery for Training-Free Generative Architecture Search. - Lujun Li 001; Haosen Sun; Shiwen Li; Peijie Dong; Wenhan Luo; Wei Xue 002; Qifeng Liu; Yike Guo (ECCV (5), 2024)

AttnZero: Efficient Attention Discovery for Vision Transformers. - Lujun Li 001; Zimian Wei; Peijie Dong; Wenhan Luo; Wei Xue 002; Qifeng Liu; Yike Guo (ECCV (5), 2024)

Auto-DAS: Automated Proxy Discovery for Training-Free Distillation-Aware Architecture Search. - Haosen Sun; Lujun Li 001; Peijie Dong; Zimian Wei; Shitong Shao (ECCV (5), 2024)

LPZero: Language Model Zero-cost Proxy Search from Zero. - Peijie Dong; Lujun Li 001; Xiang Liu 001; Zhenheng Tang; Xuebo Liu 002; Qiang Wang 022; Xiaowen Chu 001 (EMNLP (Findings), 2024)

Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models. - Peijie Dong; Lujun Li 001; Zhenheng Tang; Xiang Liu 001; Xinglin Pan; Qiang Wang 022; Xiaowen Chu 001 (ICML, 2024)

DetKDS: Knowledge Distillation Search for Object Detectors. - Lujun Li 001; Yufan Bao; Peijie Dong; Chuanguang Yang; Anggeng Li; Wenhan Luo; Qifeng Liu; Wei Xue 002; Yike Guo (ICML, 2024)

TVT: Training-Free Vision Transformer Search on Tiny Datasets. - Zimian Wei; Hengyue Pan; Lujun Li 001; Peijie Dong; Dongsheng Li 001 (ICPR (5), 2024)

Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models. - Lujun Li 001; Peijie Dong; Zhenheng Tang; Xiang Liu 001; Qiang Wang 022; Wenhan Luo; Wei Xue 002; Qifeng Liu; Xiaowen Chu 001; Yike Guo (NeurIPS, 2024)

Adaptive Layer Sparsity for Large Language Models via Activation Correlation Assessment. - Wei Li; Lujun Li 001; Mark G. Lee; Shengjie Sun (NeurIPS, 2024)

ParZC: Parametric Zero-Cost Proxies for Efficient NAS. - Peijie Dong; Lujun Li 001; Xinglin Pan; Zimian Wei; Xiang Liu 001; Qiang Wang 022; Xiaowen Chu 001 (CoRR, 2024)

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs. - Peijie Dong; Lujun Li 001; Dayou Du; Yuhan Chen; Zhenheng Tang; Qiang Wang 022; Wei Xue 002; Wenhan Luo; Qifeng Liu; Yike Guo; Xiaowen Chu 001 (CoRR, 2024)

NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models. - Cheng Lin 001; Lujun Li 001; Dezhi Li; Jie Zou; Wei Xue 002; Yike Guo (CoRR, 2024)

You Know What I'm Saying: Jailbreak Attack via Implicit Reference. - Tianyu Wu; Lingrui Mei; Ruibin Yuan; Lujun Li 001; Wei Xue 002; Yike Guo (CoRR, 2024)

ParZC: Parametric Zero-Cost Proxies for Efficient NAS. - Peijie Dong; Lujun Li 001; Zhenheng Tang; Xiang Liu 001; Zimian Wei; Qiang Wang 022; Xiaowen Chu 001 (AAAI, 2025)

BayesKD: Bayesian Knowledge Distillation for Compact LLMs in Constrained Fine-tuning Scenarios. - Wei Li; Lujun Li 001; Mark G. Lee; Shengjie Sun; Lei Zhang; Wei Xue 002; Yike Guo (ACL (Findings), 2025)

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs. - Peijie Dong; Lujun Li 001; Yuedong Zhong; Dayou Du; Ruibo Fan; Yuhan Chen; Zhenheng Tang; Qiang Wang 022; Wei Xue 002; Yike Guo; Xiaowen Chu 001 (ICLR, 2025)

Delta Decompression for MoE-based LLMs Compression. - Hao Gu; Wei Li; Lujun Li 001; Qiyuan Zhu; Mark G. Lee; Shengjie Sun; Wei Xue 002; Yike Guo (CoRR, 2025)

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression. - Peijie Dong; Zhenheng Tang; Xiang Liu 001; Lujun Li 001; Xiaowen Chu 001; Bo Li 001 (CoRR, 2025)

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook. - Hao Gu; Lujun Li 001; Zheyu Wang; Bei Liu; Qiyuan Zhu; Sirui Han; Yike Guo (CoRR, 2025)

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging. - Lujun Li 001; Zhu Qiyuan; Jiacheng Wang; Wei Li; Hao Gu; Sirui Han; Yike Guo (CoRR, 2025)