Boosting Few-Shot Classification with Lie Group Contrastive Learning. - Feihong He; Fanzhang Li (ICANN (1), 2023)

PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification. - Feihong He; Gang Li; Lingyu Si; Leilei Yan; Fanzhang Li; Fuchun Sun 001 (CoRR, 2023)

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. - Xiyao Wang; Yuhang Zhou; Xiaoyu Liu 003; Hongjin Lu; Yuancheng Xu; Feihong He; Jaehong Yoon; Taixi Lu; Fuxiao Liu; Gedas Bertasius; Mohit Bansal; Huaxiu Yao; et al. (ACL (1), 2024)

CartoonDiff: Training-free Cartoon Image Generation with Diffusion Transformer Models. - Feihong He; Gang Li; Lingyu Si; Leilei Yan; Shimeng Hou; Hongwei Dong; Fanzhang Li (ICASSP, 2024)

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. - Xiyao Wang; Yuhang Zhou; Xiaoyu Liu 003; Hongjin Lu; Yuancheng Xu; Feihong He; Jaehong Yoon; Taixi Lu; Gedas Bertasius; Mohit Bansal; Huaxiu Yao; Furong Huang (CoRR, 2024)

FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models. - Feihong He; Gang Li; Mengyuan Zhang; Leilei Yan; Lingyu Si; Fanzhang Li (CoRR, 2024)

FineDiffusion: Scaling up Diffusion Models for Fine-grained Image Generation with 10, 000 Classes. - Ziying Pan; Kun Wang; Gang Li; Feihong He; Xiwang Li; Yongxuan Lai (CoRR, 2024)

PrototypeFormer: Learning to explore prototype relationships for few-shot image classification. - Meijuan Su; Feihong He; Gang Li; Fanzhang Li (Neurocomputing, 2025)

FineDiffusion: scaling up diffusion models for fine-grained image generation with 10,000 classes. - Ziying Pan; Kun Wang; Gang Li; Feihong He; Yongxuan Lai (Appl. Intell., 2025)

Contrastive prototype loss based discriminative feature network for few-shot learning. - Leilei Yan; Feihong He; Xiaohan Zheng; Li Zhang; Yiqi Zhang; Jiangzhen He; Weidong Du; Yansong Wang; Fanzhang Li (Appl. Intell., 2025)

ExAct: A Video-Language Benchmark for Expert Action Analysis. - Han Yi; Yulu Pan; Feihong He; Xinyu Liu; Benjamin Zhang; Oluwatumininu Oguntola; Gedas Bertasius (CoRR, 2025)