Xinglin Pan

According to our database, Xinglin Pan authored at least 26 papers between 2020 and 2025.

Collaborative distances:

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

2025

CORE: CORrelation-Guided Feature Enhancement for Few-Shot Image Classification.

Jing Xu, Xinglin Pan, Jingquan Wang, Wenjie Pei, Qing Liao, Zenglin Xu

IEEE Trans. Neural Networks Learn. Syst., 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

FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models.

Xinglin Pan, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Zhenheng Tang, Rui Wang, Bo Li, Xiaowen Chu

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

Predicting intubation for intensive care units patients: A deep learning approach to improve patient management.

Ruixi Li, Zenglin Xu, Jing Xu, Xinglin Pan, Hong Wu, Xiaobo Huang, Mengling Feng

Int. J. Medical Informatics, 2024

Task Scheduling for Efficient Inference of Large Language Models on Single Moderate GPU Systems.

Wenxiang Lin, Xinglin Pan, Shaohuai Shi, Xuan Wang, Xiaowen Chu

CoRR, 2024

FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression.

Zhenheng Tang, Xueze Kang, Yiming Yin, Xinglin Pan, Yuxin Wang, Xin He, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Amelie Chi Zhou, Bo Li, Bingsheng He, 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

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

Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules.

Xinglin Pan, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu, Weinong Sun, Bo Li

Proceedings of the IEEE INFOCOM 2024, 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

ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling.

Shaohuai Shi, Xinglin Pan, Qiang Wang, Chengjian Liu, Xiaozhe Ren, Zhongzhe Hu, Yu Yang, Bo Li, Xiaowen Chu

Proceedings of the Nineteenth European Conference on Computer Systems, 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

2023

Multi-behavior recommendation based on intent learning.

Xinglin Pan, Mingxin Gan

Multim. Syst., December, 2023

RegNet: Self-Regulated Network for Image Classification.

Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu

IEEE Trans. Neural Networks Learn. Syst., November, 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

Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining.

Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu

CoRR, 2023

FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs.

Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu

CoRR, 2023

PipeMoE: Accelerating Mixture-of-Experts through Adaptive Pipelining.

Shaohuai Shi, Xinglin Pan, Xiaowen Chu, Bo Li

Proceedings of the IEEE INFOCOM 2023, 2023

Generalized Category Discovery with Clustering Assignment Consistency.

Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

AFINet: Attentive Feature Integration Networks for image classification.

Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu

Neural Networks, 2022

Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid.

Jing Xu, Xu Luo, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ENIGMA: Low-Latency and Privacy-Preserving Edge Inference on Heterogeneous Neural Network Accelerators.

Qiushi Li, Ju Ren, Xinglin Pan, Yuezhi Zhou, Yaoxue Zhang

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

2021

Exploring Category-correlated Feature for Few-shot Image Classification.

Jing Xu, Xinglin Pan, Xu Luo, Wenjie Pei, Zenglin Xu

CoRR, 2021

AFINet: Attentive Feature Integration Networks for Image Classification.

Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu

CoRR, 2021

2020

LdsConv: Learned Depthwise Separable Convolutions by Group Pruning.

Wenxiang Lin, Yan Ding, Hua-Liang Wei, Xinglin Pan, Yutong Zhang

Sensors, 2020

InvisibleFL: Federated Learning over Non-Informative Intermediate Updates against Multimedia Privacy Leakages.

Qiushi Li, Wenwu Zhu, Chao Wu, Xinglin Pan, Fan Yang, Yuezhi Zhou, Yaoxue Zhang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020