SHAPNN: Shapley Value Regularized Tabular Neural Network. - Qisen Cheng; Shuhui Qu; Janghwan Lee (CoRR, 2023)

Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection. - Qisen Cheng; Shuhui Qu; Janghwan Lee (ICTAI, 2024)

Gradient-Free Classifier Guidance for Diffusion Model Sampling. - Rahul Shenoy; Zhihong Pan 001; Kaushik Balakrishnan; Qisen Cheng; Yongmoon Jeon; Heejune Yang; Jaewon Kim (CoRR, 2024)

Multi-view Fuzzy Graph Attention Networks for Enhanced Graph Learning. - Jinming Xing; Dongwen Luo; Qisen Cheng; Chang Xue; Ruilin Xing (CoRR, 2024)

Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining. - Qisen Cheng; Jinming Xing; Chang Xue; Xiaoran Yang (CoRR, 2025)

M2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning in Large Vision-Language Models. - Yanshu Li; Hongyang He; Yi Cao; Qisen Cheng; Xiang Fu; Ruixiang Tang (CoRR, 2025)