Pseudo distribution on unseen classes for generalized zero shot learning. - Haofeng Zhang 001; Jingren Liu; Yazhou Yao; Yang Long 001 (Pattern Recognit. Lett., 2020)

Near-Real Feature Generative Network for Generalized Zero-Shot Learning. - Jingren Liu; Haoyue Bai 003; Haofeng Zhang 001; Li Liu 004 (ICME, 2021)

Beyond Normal Distribution: More Factual Feature Generation Network for Generalized Zero-Shot Learning. - Jingren Liu; Haoyue Bai 003; Haofeng Zhang 001; Li Liu 004 (IEEE Multim., 2022)

Learning discriminative and representative feature with cascade GAN for generalized zero-shot learning. - Jingren Liu; Liyong Fu; Haofeng Zhang 001; Qiaolin Ye; Wankou Yang; Li Liu 004 (Knowl. Based Syst., 2022)

From Less to More: Progressive Generalized Zero-Shot Detection With Curriculum Learning. - Jingren Liu; Yi Chen 023; Huajun Liu; Haofeng Zhang 001; Yudong Zhang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective. - Jingren Liu; Zhong Ji; Yunlong Yu; Jiale Cao; Yanwei Pang; Jungong Han; Xuelong Li 001 (CoRR, 2024)

A Fresh Look at Generalized Category Discovery through Non-negative Matrix Factorization. - Zhong Ji; Shuo Yang; Jingren Liu; Yanwei Pang; Jungong Han (CoRR, 2024)

Multi-Stage Knowledge Integration of Vision-Language Models for Continual Learning. - Hongsheng Zhang; Zhong Ji; Jingren Liu; Yanwei Pang; Jungong Han (CoRR, 2024)

NTK-Guided Few-Shot Class Incremental Learning. - Jingren Liu; Zhong Ji; Yanwei Pang; Yunlong Yu (IEEE Trans. Image Process., 2024)

Synthesizing Spreading-out features for generative zero-shot image classification. - Jingren Liu; Ke Sun; Zheng Zhang 006; Yang Long 001; Wankou Yang; Yunyang Yan; Haofeng Zhang 001 (Eng. Appl. Artif. Intell., 2025)

Optimal Transport Adapter Tuning for Bridging Modality Gaps in Few-Shot Remote Sensing Scene Classification. - Zhong Ji; Ci Liu; Jingren Liu; Chen Tang; Yanwei Pang; Xuelong Li 001 (CoRR, 2025)

Multi-task classification network for few-shot learning. - Zhong Ji; Yuanheng Liu; Xuan Wang; Jingren Liu; Jiale Cao; YunLong Yu (Int. J. Multim. Inf. Retr., 2025)

How can Diffusion Models Evolve into Continual Generators? - Jingren Liu; Zhong Ji; Xiangyu Chen (CoRR, 2025)

Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts. - Zhong Ji; Rongshuai Wei; Jingren Liu; Yanwei Pang; Jungong Han (CoRR, 2025)

Radlora: a smart low-rank adaptive approach for radiological image classification. - Yu Zheng; Yuze Gao; Jingren Liu; Ning Yao; Zhong Ji (Multim. Syst., 2025)

Infinite Video Understanding. - Dell Zhang; Xiangyu Chen; Jixiang Luo; Mengxi Jia; Changzhi Sun; Ruilong Ren; Jingren Liu; Hao Sun; Xuelong Li 001 (CoRR, 2025)