Jinqi Xiao

According to our database, Jinqi Xiao authored at least 13 papers between 2023 and 2025.

Collaborative distances:

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

2025

HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading.

Cheng Luo, Zefan Cai, Hanshi Sun, Jinqi Xiao, Bo Yuan, Wen Xiao, Junjie Hu, Jiawei Zhao, Beidi Chen, Anima Anandkumar

CoRR, February, 2025

DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models.

Yang Sui, Huy Phan, Jinqi Xiao, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan

Trans. Mach. Learn. Res., 2025

TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model.

Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection.

Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Linjie Luo, Bo Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection.

Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Linjie Luo, Bo Yuan

CoRR, 2024

MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition.

Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan

CoRR, 2024

ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks.

Yang Sui, Miao Yin, Yu Gong, Jinqi Xiao, Huy Phan, Bo Yuan

CoRR, 2024

MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition.

Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Clean and Compact: Efficient Data-Free Backdoor Defense with Model Compactness.

Huy Phan, Jinqi Xiao, Yang Sui, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search.

Xiao Zang, Miao Yin, Jinqi Xiao, Saman A. Zonouz, Bo Yuan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ETTE: Efficient Tensor-Train-based Computing Engine for Deep Neural Networks.

Yu Gong, Miao Yin, Lingyi Huang, Jinqi Xiao, Yang Sui, Chunhua Deng, Bo Yuan

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models.

Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan

Proceedings of the International Conference on Machine Learning, 2023

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks.

Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023