Augmenting Equity Factor Investing with Global Macro Regimes. - Dmitriy Nuriyev; Songyun Duan; Lingjie Yi (ICAIF, 2024)

Contrastive Learning for Knowledge-Based Question Generation in Large Language Models. - Zhenhong Zhang; Jiajing Chen; Weiyan Shi; Lingjie Yi; Chihang Wang; Qian Yu (CoRR, 2024)

Pflow: An end-to-end heterogeneous acceleration framework for CNN inference on FPGAs. - Yi Wan; Xianzhong Xie; Lingjie Yi; Bo Jiang; Junfan Chen; Yi Jiang (J. Syst. Archit., 2024)

Custom Network Quantization Method for Lightweight CNN Acceleration on FPGAs. - Lingjie Yi; Xianzhong Xie; Yi Wan; Bo Jiang; Junfan Chen (Int. J. Distributed Sens. Networks, 2024)

AENet: attention enhancement network for industrial defect detection in complex and sensitive scenarios. - Yi Wan; Lingjie Yi; Bo Jiang; Junfan Chen; Yi Jiang; Xianzhong Xie (J. Supercomput., 2024)

Backdooring Vision-Language Models with Out-Of-Distribution Data. - Weimin Lyu; Jiachen Yao; Saumya Gupta; Lu Pang 006; Tao Sun 009; Lingjie Yi; Lijie Hu; Haibin Ling; Chao Chen 012 (ICLR, 2025)

Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions. - Lingjie Yi; Jiachen Yao; Weimin Lyu; Haibin Ling; Raphael Douady; Chao Chen 012 (ICLR, 2025)

PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots. - Lingjie Yi; Tao Sun 009; Yikai Zhang 003; Songzhu Zheng; Weimin Lyu; Haibin Ling; Chao Chen 012 (WACV, 2025)

A Theoretical Study of Neural Network Expressive Power via Manifold Topology. - Jiachen Yao; Lingjie Yi; Mayank Goswami 001; Chao Chen 012 (Trans. Mach. Learn. Res., 2025)