Jinqi Xiao

20 papers A* 6Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
ATA: Bridging Implicit Reasoning with Attention-Guided and Action-Guided Inference for Vision-Language Action Models.
CoRR
Cheng Yang, Jianhao Jiao, Lingyi Huang, Jinqi Xiao, Zhexiang Tang, Yu Gong, Yibiao Ying, Yang Sui, Jintian Lin, Wen Huang, Bo Yuan
2025 A* conf
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection.
CVPR
Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Linjie Luo, Bo Yuan
2025 J jnl
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models.
Trans. Mach. Learn. Res.
Yang Sui, Huy Phan, Jinqi Xiao, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan
2025 J jnl
EcoSpa: Efficient Transformer Training with Coupled Sparsity.
CoRR
Jinqi Xiao, Cheng Luo, Lingyi Huang, Cheng Yang, Yang Sui, Huy Phan, Xiao Zang, Yibiao Ying, Zhexiang Tang, Anima Anandkumar, Bo Yuan
2025 J jnl
HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading.
CoRR
Cheng Luo, Zefan Cai, Hanshi Sun, Jinqi Xiao, Bo Yuan, Wen Xiao, Junjie Hu, Jiawei Zhao, Beidi Chen, Anima Anandkumar
2025 J jnl
InstructMoLE: Instruction-Guided Mixture of Low-rank Experts for Multi-Conditional Image Generation.
CoRR
Jinqi Xiao, Qing Yan, Liming Jiang, Zichuan Liu, Hao Kang, Shen Sang, Tiancheng Zhi, Jing Liu, Cheng Yang, Xin Lu, Bo Yuan
2025 A* conf
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model.
CVPR
Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan
2025 J jnl
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model.
CoRR
Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan
2024 J jnl
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection.
CoRR
Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Linjie Luo, Bo Yuan
2024 — conf
Clean and Compact: Efficient Data-Free Backdoor Defense with Model Compactness.
ECCV (60)
Huy Phan, Jinqi Xiao, Yang Sui, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan
2024 J jnl
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models.
CoRR
Yang Sui, Huy Phan, Jinqi Xiao, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan
2024 J jnl
ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks.
CoRR
Yang Sui, Miao Yin, Yu Gong, Jinqi Xiao, Huy Phan, Bo Yuan
2024 J jnl
MoE-I
CoRR
Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan
2024 — conf
MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition.
EMNLP (Findings)
Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan
2023 A* conf
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models.
ICML
Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan
2023 J jnl
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models.
CoRR
Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan
2023 A* conf
ETTE: Efficient Tensor-Train-based Computing Engine for Deep Neural Networks.
ISCA
Yu Gong, Miao Yin, Lingyi Huang, Jinqi Xiao, Yang Sui, Chunhua Deng, Bo Yuan
2023 A* conf
GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search.
NeurIPS
Xiao Zang, Miao Yin, Jinqi Xiao, Saman A. Zonouz, Bo Yuan
2023 A* conf
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks.
AAAI
Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan
2023 J jnl
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks.
CoRR
Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan