VLSI Hardware Architecture of Neural A* Path Planner. - Lingyi Huang; Xiao Zang; Yu Gong 003; Boyang Zhang; Bo Yuan 001 (IEEECONF, 2022)

HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks. - Miao Yin; Yang Sui; Wanzhao Yang; Xiao Zang; Yu Gong 003; Bo Yuan 001 (CVPR, 2022)

IMG-SMP: Algorithm and Hardware Co-Design for Real-time Energy-efficient Neural Motion Planning. - Lingyi Huang; Xiao Zang; Yu Gong 003; Chunhua Deng; Jingang Yi; Bo Yuan 001 (ACM Great Lakes Symposium on VLSI, 2022)

Hardware Architecture of Graph Neural Network-Enabled Motion Planner (Invited Paper). - Lingyi Huang; Xiao Zang; Yu Gong 003; Bo Yuan 001 (ICCAD, 2022)

Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition. - Yu Gong 003; Miao Yin; Lingyi Huang; Chunhua Deng; Yang Sui; Bo Yuan 001 (CoRR, 2022)

Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition With Hierarchical Tucker Tensor Decomposition. - Yu Gong 003; Miao Yin; Lingyi Huang; Chunhua Deng; Bo Yuan 001 (IEEE Trans. Computers, 2022)

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. - Jinqi Xiao; Chengming Zhang 006; Yu Gong 003; Miao Yin; Yang Sui; Lizhi Xiang; Dingwen Tao; Bo Yuan 001 (AAAI, 2023)

Accelerable Lottery Tickets with the Mixed-Precision Quantization. - Zhangheng Li; Yu Gong 003; Zhenyu Zhang 015; Xingyun Xue; Tianlong Chen 001; Yi Liang; Bo Yuan 001; Zhangyang Wang (CVPR Workshops, 2023)

COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models. - Jinqi Xiao; Miao Yin; Yu Gong 003; Xiao Zang; Jian Ren 005; Bo Yuan 001 (ICML, 2023)

ETTE: Efficient Tensor-Train-based Computing Engine for Deep Neural Networks. - Yu Gong 003; Miao Yin; Lingyi Huang; Jinqi Xiao; Yang Sui; Chunhua Deng; Bo Yuan 001 (ISCA, 2023)

Invited: Algorithm and Hardware Co-Design for Energy-Efficient Neural SLAM. - Lingyi Huang; Cheng Yang 013; Yu Gong 003; Yang Sui; Xiao Zang; Anthony Goeckner; Qi Zhu 002; Bo Yuan 001 (DAC, 2024)

DiMO-Sparse: Differentiable Modeling and Optimization of Sparse CNN Dataflow and Hardware Architecture. - Jianfeng Song; Rongjian Liang; Yu Gong 003; Bo Yuan 001; Jiang Hu (DATE, 2024)

MoE-I²: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition. - Cheng Yang 013; Yang Sui; Jinqi Xiao; Lingyi Huang; Yu Gong 003; Yuanlin Duan; Wenqi Jia 003; Miao Yin; Yu Cheng; Bo Yuan 001 (EMNLP (Findings), 2024)

MOPED: Efficient Motion Planning Engine with Flexible Dimension Support. - Lingyi Huang; Yu Gong 003; Yang Sui; Xiao Zang; Bo Yuan 001 (HPCA, 2024)

ELRT: Efficient Low-Rank Training for Compact Convolutional Neural Networks. - Yang Sui; Miao Yin; Yu Gong 003; Jinqi Xiao; Huy Phan; Bo Yuan 001 (CoRR, 2024)

MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition. - Cheng Yang 013; Yang Sui; Jinqi Xiao; Lingyi Huang; Yu Gong 003; Yuanlin Duan; Wenqi Jia 003; Miao Yin; Yu Cheng; Bo Yuan 001 (CoRR, 2024)

TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model. - Cheng Yang 013; Yang Sui; Jinqi Xiao; Lingyi Huang; Yu Gong 003; Chendi Li; Jinghua Yan; Yu Bai 009; Ponnuswamy Sadayappan; Xia Hu 001; Bo Yuan 001 (CVPR, 2025)

Co-Exploring Structured Sparsification and Low-Rank Tensor Decomposition for Compact DNNs. - Yang Sui; Miao Yin; Yu Gong 003; Bo Yuan 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)