Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning. - Jinze Li 001; Yan Bai; Yihang Lou; Xiongkun Linghu; Jianzhong He; Shaoyun Xu; Tao Bai (CoRR, 2022)

Bayesian Evidential Learning for Few-Shot Classification. - Xiongkun Linghu; Yan Bai; Yihang Lou; Shengsen Wu; Jinze Li 001; Jianzhong He; Tao Bai (CoRR, 2022)

Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification. - Shuo Yang 011; Xinran Zheng; Jinze Li 001; Jinfeng Xu 003; Edith C. H. Ngai (CIKM, 2024)

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation. - Jinfeng Xu 003; Zheyu Chen 003; Jinze Li 001; Shuo Yang 011; Hewei Wang 001; Edith C. H. Ngai (CIKM, 2024)

ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection. - Shuo Yang 011; Xinran Zheng; Jinze Li 001; Jinfeng Xu 003; Xingjun Wang; Edith C. H. Ngai (KDD, 2024)

FourierKAN-GCF: Fourier Kolmogorov-Arnold Network - An Effective and Efficient Feature Transformation for Graph Collaborative Filtering. - Jinfeng Xu 003; Zheyu Chen 003; Jinze Li 001; Shuo Yang 011; Wei Wang 077; Xiping Hu; Edith C. H. Ngai (CoRR, 2024)

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation. - Jinfeng Xu 003; Zheyu Chen 003; Shuo Yang 011; Jinze Li 001; Hewei Wang 001; Edith C. H. Ngai (AAAI, 2025)

Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE. - Haiduo Huang; Fuwei Yang; Zhenhua Liu; Yixing Xu; Jinze Li 001; Yang Liu; Xuanwu Yin; Dong Li 025; Pengju Ren; Emad Barsoum (CoRR, 2025)

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions. - Jinfeng Xu 003; Zheyu Chen 003; Shuo Yang 011; Jinze Li 001; Wei Wang 077; Xiping Hu; Steven Hoi; Edith C. H. Ngai (CoRR, 2025)

Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding. - Jinze Li 001; Yixing Xu; Haiduo Huang; Xuanwu Yin; Dong Li 025; Edith C. H. Ngai; Emad Barsoum (CoRR, 2025)

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets. - Jinfeng Xu 003; Zheyu Chen 003; Jinze Li 001; Shuo Yang 011; Hewei Wang 001; Yijie Li 003; Mengran Li; Puzhen Wu; Edith C. H. Ngai (CoRR, 2025)

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking. - Shuo Yang 011; Yuqin Dai; Guoqing Wang; Xinran Zheng; Jinfeng Xu 003; Jinze Li 001; Zhenzhe Ying; Weiqiang Wang; Edith C. H. Ngai (CoRR, 2025)

Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions. - Shuo Yang 011; Xinran Zheng; Jinfeng Xu 003; Jinze Li 001; Danyang Song; Zheyu Chen 003; Edith C. H. Ngai (CoRR, 2025)

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions. - Shuo Yang 011; Xinran Zheng; Xinchen Zhang; Jinfeng Xu 003; Jinze Li 001; Donglin Xie; Weicai Long; Edith C. H. Ngai (CoRR, 2025)

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation. - Jinfeng Xu 003; Zheyu Chen 003; Shuo Yang 011; Jinze Li 001; Hewei Wang 001; Wei Wang 077; Xiping Hu; Edith C. H. Ngai (CoRR, 2025)

RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking. - Shuo Yang 011; Zijian Yu; Zhenzhe Ying; Yuqin Dai; Guoqing Wang; Jun Lan; Jinfeng Xu 003; Jinze Li 001; Edith C. H. Ngai (CoRR, 2025)

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation. - Jinfeng Xu 003; Zheyu Chen 003; Shuo Yang 011; Jinze Li 001; Edith C. H. Ngai (CoRR, 2025)