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; Yuanlin Duan; Wenqi Jia 003; Miao Yin; Yu Cheng; Bo Yuan 001 (EMNLP (Findings), 2024)

GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data. - Wenqi Jia 003; Sian Jin; Jinzhen Wang; Wei Niu 002; Dingwen Tao; Miao Yin (FlexScience@HPDC, 2024)

Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices. - Zhihao Shu; Xiaowei Yu; Zihao Wu 001; Wenqi Jia 003; Yinchen Shi; Miao Yin; Tianming Liu 001; Dajiang Zhu; Wei Niu 002 (NeurIPS, 2024)

Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications. - Youyuan Liu; Wenqi Jia 003; Taolue Yang; Miao Yin; Sian Jin (SC Workshops, 2024)

NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data. - Wenqi Jia 003; Youyuan Liu; Zhewen Hu; Jinzhen Wang; Boyuan Zhang; Wei Niu 002; Junzhou Huang; Stavros Kalafatis; Sian Jin; Miao Yin (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; Yuanlin Duan; Wenqi Jia 003; Miao Yin; Yu Cheng; Bo Yuan 001 (CoRR, 2024)

GaussianSpa: An "Optimizing-Sparsifying" Simplification Framework for Compact and High-Quality 3D Gaussian Splatting. - Yangming Zhang; Wenqi Jia 003; Wei Niu 002; Miao Yin (CVPR, 2025)

FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression. - Wenqi Jia 003; Ying Huang 008; Jian Xu; Zhewen Hu; Sian Jin; Jiannan Tian; Yuede Ji; Miao Yin (CoRR, 2025)

AdaRing: Towards Ultra-Light Vision-Language Adaptation via Cross-Layer Tensor Ring Decomposition. - Ying Huang 008; Yuanbin Man; Wenqi Jia 003; Zhengzhong Tu; Junzhou Huang; Miao Yin (CoRR, 2025)