Semantic-based Selection, Synthesis, and Supervision for Few-shot Learning. - Jinda Lu; Shuo Wang 008; Xinyu Zhang 022; Yanbin Hao; Xiangnan He 001 (ACM Multimedia, 2023)

Boosting Few-Shot Learning via Attentive Feature Regularization. - Xingyu Zhu; Shuo Wang 008; Jinda Lu; Yanbin Hao; Haifeng Liu; Xiangnan He 001 (AAAI, 2024)

GLCM-Adapter: Global-Local Content Matching for Few-shot CLIP Adaptation. - Shuo Wang 008; Xieenlong; Jinda Lu; Jinghan Li; Yanbin Hao (BMVC, 2024)

Modality-Guided Collaborative Filtering for Recommendation. - Kai Zhang; Linping Gao; Jinda Lu; Yutong Yuan; Xiaofen Xing (ICIC (13), 2024)

Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation. - Jinda Lu; Shuo Wang 008; Yanbin Hao; Haifeng Liu; Xiang Wang 010; Meng Wang 001 (CoRR, 2024)

Feature Mixture on Pre-Trained Model for Few-Shot Learning. - Shuo Wang 008; Jinda Lu; Haiyang Xu 002; Yanbin Hao; Xiangnan He 001 (IEEE Trans. Image Process., 2024)

FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence. - Zhiyuan Wu; Sheng Sun; Yuwei Wang 003; Min Liu 001; Ke Xu 002; Wen Wang; Xuefeng Jiang; Bo Gao 006; Jinda Lu (IEEE Trans. Mob. Comput., 2024)

Unified Parameter-Efficient Unlearning for LLMs. - Chenlu Ding; Jiancan Wu; Yancheng Yuan; Jinda Lu; Kai Zhang 038; Alex Su; Xiang Wang 010; Xiangnan He 001 (ICLR, 2025)

DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. - Jinghan Li; Yuan Gao; Jinda Lu; Junfeng Fang; Congcong Wen; Hui Lin; Xiang Wang 010 (ICLR, 2025)

Multimodal Generation with Consistency Transferring. - Junxiang Qiu; Jinda Lu; Shuo Wang 008 (NAACL (Findings), 2025)

Accelerating Diffusion Transformer via Error-Optimized Cache. - Junxiang Qiu; Shuo Wang 008; Jinda Lu; Lin Liu; Houcheng Jiang; Yanbin Hao (CoRR, 2025)

DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. - Jinda Lu; Junkang Wu; Jinghan Li; Xiaojun Jia; Shuo Wang 008; Yifan Zhang 004; Junfeng Fang; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

Accelerating Diffusion Transformer via Gradient-Optimized Cache. - Junxiang Qiu; Lin Liu; Shuo Wang 008; Jinda Lu; Kezhou Chen; Yanbin Hao (CoRR, 2025)

Aligning Multimodal LLM with Human Preference: A Survey. - Tao Yu; Yifan Zhang 004; Chaoyou Fu; Junkang Wu; Jinda Lu; Kun Wang 056; Xingyu Lu; Yunhang Shen; Guibin Zhang; Dingjie Song; Yibo Yan; Tianlong Xu; et al. (CoRR, 2025)

AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. - Jinda Lu; Jinghan Li; Yuan Gao; Junkang Wu; Jiancan Wu; Xiang Wang 010; Xiangnan He 001 (CoRR, 2025)

Recursive Offloading for LLM Serving in Multi-tier Networks. - Zhiyuan Wu; Sheng Sun; Yuwei Wang; Min Liu; Bo Gao; Jinda Lu; Zheming Yang; Tian Wen (CoRR, 2025)

Interventional Feature Generation for Few-shot Learning. - Shuo Wang 008; Jinda Lu; Huixia Ben; Yanbin Hao; Xingyu Gao 001; Meng Wang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2025)