Xiaohuan Pei

According to our database, Xiaohuan Pei authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Q-Zoom: Query-Aware Adaptive Perception for Efficient Multimodal Large Language Models.

Yuheng Shi, Xiaohuan Pei, Linfeng Wen, Minjing Dong, Chang Xu

CoRR, April, 2026

2025

Action-aware Dynamic Pruning for Efficient Vision-Language-Action Manipulation.

Xiaohuan Pei, Yuxing Chen, Siyu Xu, Yunke Wang, Yuheng Shi, Chang Xu

CoRR, September, 2025

Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception.

Yuheng Shi, Xiaohuan Pei, Minjing Dong, Chang Xu

CoRR, September, 2025

Rethinking Causal Mask Attention for Vision-Language Inference.

Xiaohuan Pei, Tao Huang, Yanxiang Ma, Chang Xu

CoRR, May, 2025

EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba.

Xiaohuan Pei, Tao Huang, Chang Xu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Cross-Self KV Cache Pruning for Efficient Vision-Language Inference.

Xiaohuan Pei, Tao Huang, Chang Xu

CoRR, 2024

Neural Architecture Retrieval.

Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TCNAS: Transformer Architecture Evolving in Code Clone Detection.

Hongyan Xu, Xiaohuan Pei, Xiu Su, Shan You, Chang Xu

Proceedings of the IEEE International Conference on Acoustics, 2024

LocalMamba: Visual State Space Model with Windowed Selective Scan.

Tao Huang, Xiaohuan Pei, Shan You, Fei Wang, Chen Qian, Chang Xu

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

GPT Self-Supervision for a Better Data Annotator.

Xiaohuan Pei, Yanxi Li, Chang Xu

CoRR, 2023

2022

Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments.

Xiaohuan Pei, Shuo Yang, Jiajun Huang, Chang Xu

Proceedings of the IEEE International Conference on Data Mining, 2022

Contrastive Code-Comment Pre-training.

Xiaohuan Pei, Daochang Liu, Luo Qian, Chang Xu

Proceedings of the IEEE International Conference on Data Mining, 2022