AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (ECCV Workshops (3), 2022)

Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection. - Zimian Wei; Hengyue Pan; Linbo Qiao; Xin Niu 002; Peijie Dong; Dongsheng Li 001 (ICASSP, 2022)

UENAS: A Unified Evolution-based NAS Framework. - Zimian Wei; Hengyue Pan; Xin Niu 002; Peijie Dong; Dongsheng Li 001 (CoRR, 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)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (CoRR, 2022)

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

AutoRF: Auto Learning Receptive Fields with Spatial Pooling. - Peijie Dong; Xin Niu 002; Zimian Wei; Hengyue Pan; Dongsheng Li 001; Zhen Huang 006 (MMM (2), 2023)

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

Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models. - Longteng Zhang; Xiang Liu 001; Zeyu Li; Xinglin Pan; Peijie Dong; Ruibo Fan; Rui Guo; Xin Wang; Qiong Luo 001; Shaohuai Shi; Xiaowen Chu 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)

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)

VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting. - Yujin Tang; Peijie Dong; Zhenheng Tang; Xiaowen Chu 001; Junwei Liang 001 (CVPR Workshops, 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)

Multi-task Domain Adaptation for Language Grounding with 3D Objects. - Penglei Sun; Yaoxian Song; Xinglin Pan; Peijie Dong; Xiaofei Yang 002; Qiang Wang 022; Zhixu Li; Tiefeng Li; Xiaowen Chu 001 (ECCV (34), 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)

LongGenBench: Long-context Generation Benchmark. - Xiang Liu 001; Peijie Dong; Xuming Hu; 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)

Should We Really Edit Language Models? On the Evaluation of Edited Language Models. - Qi Li; Xiang Liu 001; Zhenheng Tang; Peijie Dong; Zeyu Li; Xinglin Pan; Xiaowen Chu 001 (NeurIPS, 2024)

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion. - Zhenheng Tang; Yonggang Zhang 003; Peijie Dong; Yiu-ming Cheung; Amelie Chi Zhou; Bo Han 003; Xiaowen Chu 001 (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)

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)

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 022; Wei Wang 030; Xiaowen Chu 001 (EuroSys, 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)

ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference. - Xiang Liu 001; Zhenheng Tang; Peijie Dong; Zeyu Li; Bo Li 001; Xuming Hu; Xiaowen Chu 001 (CoRR, 2025)

Can LLMs Maintain Fundamental Abilities under KV Cache Compression? - Xiang Liu 001; Zhenheng Tang; Hong Chen; Peijie Dong; Zeyu Li; Xiuze Zhou; Bo Li 001; Xuming Hu; Xiaowen Chu 001 (CoRR, 2025)

Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing. - Kunfeng Lai; Zhenheng Tang; Xinglin Pan; Peijie Dong; Xiang Liu 001; Haolan Chen; Li Shen 005; Bo Li 001; Xiaowen Chu 001 (CoRR, 2025)

Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research. - Xiang Liu 001; Penglei Sun; Shuyan Chen; Longhan Zhang; Peijie Dong; Huajie You; Yongqi Zhang; Chang Yan; Xiaowen Chu 001; Tong-yi Zhang (CoRR, 2025)

The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve? - Zhenheng Tang; Xiang Liu 001; Qian Wang 002; Peijie Dong; Bingsheng He; Xiaowen Chu 001; Bo Li 001 (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)

Smooth Reading: Bridging the Gap of Recurrent LLM to Self-Attention LLM on Long-Context Tasks. - Kai Liu; Zhan Su 002; Peijie Dong; Fengran Mo; Jianfei Gao 003; Shaoting Zhang 001; Kai Chen 026 (CoRR, 2025)

Intern-S1: A Scientific Multimodal Foundation Model. - Lei Bai 001; Zhongrui Cai; Yuhang Cao; Maosong Cao; Weihan Cao; Chiyu Chen; Haojiong Chen; Kai Chen; Pengcheng Chen; Ying Chen; Yongkang Chen; Yu Cheng; et al. (CoRR, 2025)