Xinglin Pan - RankMe

42 papers A* 6A 4Journal 27Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression. ASPLOS (2) Ruibo Fan, Xiangrui Yu, Xinglin Pan, Zeyu Li, Weile Luo, Qiang Wang, Wei Wang, Xiaowen Chu
2026	J	`jnl`	ZipServ: Fast and Memory-Efficient LLM Inference with Hardware-Aware Lossless Compression. CoRR Ruibo Fan, Xiangrui Yu, Xinglin Pan, Zeyu Li, Weile Luo, Qiang Wang, Wei Wang, Xiaowen Chu
2025	J	`jnl`	CORE: CORrelation-Guided Feature Enhancement for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. Jing Xu, Xinglin Pan, Jingquan Wang, Wenjie Pei, Qing Liao, Zenglin Xu
2025	J	`jnl`	DreamDDP: Accelerating Data Parallel Distributed LLM Training with Layer-wise Scheduled Partial Synchronization. CoRR Zhenheng Tang, Zichen Tang, Junlin Huang, Xinglin Pan, Rudan Yan, Yuxin Wang, Amelie Chi Zhou, Shaohuai Shi, Xiaowen Chu, Bo Li
2025	J	`jnl`	Efficient MoE Inference with Fine-Grained Scheduling of Disaggregated Expert Parallelism. CoRR Xinglin Pan, Shaohuai Shi, Wenxiang Lin, Yuxin Wang, Zhenheng Tang, Wei Wang, Xiaowen Chu
2025	—	`conf`	FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models. ASPLOS (1) Xinglin Pan, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Zhenheng Tang, Rui Wang, Bo Li, Xiaowen Chu
2025	J	`jnl`	FSMoE: A Flexible and Scalable Training System for Sparse Mixture-of-Experts Models. CoRR Xinglin Pan, Wenxiang Lin, Lin Zhang, Shaohuai Shi, Zhenheng Tang, Rui Wang, Bo Li, Xiaowen Chu
2025	J	`jnl`	HierMoE: Accelerating MoE Training with Hierarchical Token Deduplication and Expert Swap. CoRR Wenxiang Lin, Xinglin Pan, Lin Zhang, Shaohuai Shi, Xuan Wang, Xiaowen Chu
2025	A	`conf`	Mast: Efficient Training of Mixture-of-Experts Transformers with Task Pipelining and Ordering. ICDCS Wenxiang Lin, Xinglin Pan, Shaohuai Shi, Xuan Wang, Bo Li, 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`	Mitigating Contention in Stream Multiprocessors for Pipelined Mixture of Experts: An SM-Aware Scheduling Approach. ICDCS Xinglin Pan, Rui Wang, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu
2025	—	`conf`	ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs. Euro-Par (3) Wenxiang Lin, Xinglin Pan, Shaohuai Shi, Xuan Wang, Xiaowen Chu
2024	J	`jnl`	FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression. CoRR 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
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`	Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules. INFOCOM Xinglin Pan, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu, Weinong Sun, Bo Li
2024	J	`jnl`	Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules. CoRR Xinglin Pan, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu, Weinong Sun, Bo Li
2024	J	`jnl`	Predicting intubation for intensive care units patients: A deep learning approach to improve patient management. Int. J. Medical Informatics Ruixi Li, Zenglin Xu, Jing Xu, Xinglin Pan, Hong Wu, Xiaobo Huang, Mengling Feng
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	A	`conf`	ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling. EuroSys Shaohuai Shi, Xinglin Pan, Qiang Wang, Chengjian Liu, Xiaozhe Ren, Zhongzhe Hu, Yu Yang, Bo Li, 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	J	`jnl`	Task Scheduling for Efficient Inference of Large Language Models on Single Moderate GPU Systems. CoRR Wenxiang Lin, Xinglin Pan, Shaohuai Shi, Xuan Wang, Xiaowen Chu
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	J	`jnl`	FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs. CoRR Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu
2023	—	`conf`	Generalized Category Discovery with Clustering Assignment Consistency. ICONIP (5) Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu
2023	J	`jnl`	Generalized Category Discovery with Clustering Assignment Consistency. CoRR Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu
2023	J	`jnl`	Multi-behavior recommendation based on intent learning. Multim. Syst. Xinglin Pan, Mingxin Gan
2023	A*	`conf`	PipeMoE: Accelerating Mixture-of-Experts through Adaptive Pipelining. INFOCOM Shaohuai Shi, Xinglin Pan, Xiaowen Chu, Bo Li
2023	J	`jnl`	RegNet: Self-Regulated Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu
2023	J	`jnl`	Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining. CoRR Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu
2022	J	`jnl`	AFINet: Attentive Feature Integration Networks for image classification. Neural Networks Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu
2022	A*	`conf`	Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid. NeurIPS Jing Xu, Xu Luo, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu
2022	J	`jnl`	Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid. CoRR Jing Xu, Xu Luo, Xinglin Pan, Wenjie Pei, Yanan Li, Zenglin Xu
2022	A	`conf`	ENIGMA: Low-Latency and Privacy-Preserving Edge Inference on Heterogeneous Neural Network Accelerators. ICDCS Qiushi Li, Ju Ren, Xinglin Pan, Yuezhi Zhou, Yaoxue Zhang
2021	J	`jnl`	AFINet: Attentive Feature Integration Networks for Image Classification. CoRR Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu
2021	J	`jnl`	Exploring Category-correlated Feature for Few-shot Image Classification. CoRR Jing Xu, Xinglin Pan, Xu Luo, Wenjie Pei, Zenglin Xu
2021	J	`jnl`	RegNet: Self-Regulated Network for Image Classification. CoRR Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu
2020	A*	`conf`	InvisibleFL: Federated Learning over Non-Informative Intermediate Updates against Multimedia Privacy Leakages. ACM Multimedia Qiushi Li, Wenwu Zhu, Chao Wu, Xinglin Pan, Fan Yang, Yuezhi Zhou, Yaoxue Zhang
2020	J	`jnl`	LdsConv: Learned Depthwise Separable Convolutions by Group Pruning. Sensors Wenxiang Lin, Yan Ding, Hua-Liang Wei, Xinglin Pan, Yutong Zhang