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2020 – today
- 2025
[j1]Yang Sui, Huy Phan, Jinqi Xiao, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan:
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models. Trans. Mach. Learn. Res. 2025 (2025)- [c8]Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan:
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model. CVPR 2025: 19803-19813 - [c7]Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Linjie Luo, Bo Yuan:
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection. CVPR 2025: 30116-30126 - [i8]Cheng Luo, Zefan Cai, Hanshi Sun, Jinqi Xiao, Bo Yuan, Wen Xiao, Junjie Hu, Jiawei Zhao, Beidi Chen, Anima Anandkumar:
HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading. CoRR abs/2502.12574 (2025) - [i7]Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan:
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model. CoRR abs/2503.18278 (2025) - 2024
- [c6]Huy Phan
, Jinqi Xiao, Yang Sui, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan:
Clean and Compact: Efficient Data-Free Backdoor Defense with Model Compactness. ECCV (60) 2024: 273-290 - [c5]Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan:
MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition. EMNLP (Findings) 2024: 10456-10466 - [i6]Yang Sui, Miao Yin, Yu Gong, Jinqi Xiao, Huy Phan, Bo Yuan:
ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks. CoRR abs/2401.10341 (2024) - [i5]Yang Sui, Huy Phan, Jinqi Xiao, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan:
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models. CoRR abs/2402.02739 (2024) - [i4]Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Yuanlin Duan, Wenqi Jia, Miao Yin, Yu Cheng, Bo Yuan:
MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition. CoRR abs/2411.01016 (2024) - [i3]Jinqi Xiao, Shen Sang, Tiancheng Zhi, Jing Liu, Qing Yan, Linjie Luo, Bo Yuan:
COAP: Memory-Efficient Training with Correlation-Aware Gradient Projection. CoRR abs/2412.00071 (2024) - 2023
- [c4]Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan:
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. AAAI 2023: 10464-10472 - [c3]Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan:
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models. ICML 2023: 38125-38136 - [c2]Yu Gong, Miao Yin, Lingyi Huang, Jinqi Xiao, Yang Sui, Chunhua Deng, Bo Yuan:
ETTE: Efficient Tensor-Train-based Computing Engine for Deep Neural Networks. ISCA 2023: 68:1-68:13 - [c1]Xiao Zang, Miao Yin, Jinqi Xiao, Saman A. Zonouz, Bo Yuan:
GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search. NeurIPS 2023 - [i2]Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan:
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. CoRR abs/2301.09422 (2023) - [i1]Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan:
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models. CoRR abs/2305.17235 (2023)
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