Jinze Li

According to our database, Jinze Li authored at least 31 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation.

Jinze Li, Xiaoyan Yang, Shuo Yang, Jinfeng Xu, Yue Shen, Jian Wang, Jinjie Gu, Edith Cheuk-Han Ngai

CoRR, May, 2026

Beyond the Target: From Imitation to Collaboration in Speculative Decoding.

Jinze Li, Yixing Xu, Guanchen Li, Jinfeng Xu, Shuo Yang, Yang Zhang, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum

CoRR, May, 2026

OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory.

Jinze Li, Yang Zhang, Xin Yang, Jiayi Qu, Jinfeng Xu, Shuo Yang, Junhua Ding, Edith Cheuk-Han Ngai

CoRR, April, 2026

Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Jianheng Tang, Wei Wang, Xiping Hu, Edith C. H. Ngai

CoRR, April, 2026

CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Yijie Li, Jianheng Tang, Yunhuai Liu, Edith C. H. Ngai

CoRR, March, 2026

DGGVAE: Dual-Granularity Graph Variational Auto-Encoder for Group Recommendation.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Hewei Wang, Yijie Li, Xiping Hu, Edith C. H. Ngai

ACM Trans. Inf. Syst., February, 2026

RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking.

Shuo Yang, Zijian Yu, Zhenzhe Ying, Yuqin Dai, Guoqing Wang, Jun Lan, Jinfeng Xu, Jinze Li, Edith C. H. Ngai

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

CoLD: Collaborative Label Denoising Framework for Network Intrusion Detection.

Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Edith C. H. Ngai

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Zitong Wan, Hewei Wang, Weijie Liu, Yijie Li, Edith C. H. Ngai

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Learning and Editing Universal Graph Prompt Tuning via Reinforcement Learning.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Yijie Li, Edith C. H. Ngai

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Ziyue Peng, Zewei Liu, Hewei Wang, Jiayi Zhang, Edith C. H. Ngai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Enhancing Robustness and Generalization Capability for Multimodal Recommender Systems via Sharpness-Aware Minimization.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Raymond Chi-Wing Wong, Edith C. H. Ngai

IEEE Trans. Knowl. Data Eng., November, 2025

Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match.

Jinze Li, Yixing Xu, Guanchen Li, Shuo Yang, Jinfeng Xu, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum

CoRR, November, 2025

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions.

Shuo Yang, Xinran Zheng, Xinchen Zhang, Jinfeng Xu, Jinze Li, Donglin Xie, Weicai Long, Edith C. H. Ngai

CoRR, July, 2025

Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions.

Shuo Yang, Xinran Zheng, Jinfeng Xu, Jinze Li, Danyang Song, Zheyu Chen, Edith C. H. Ngai

CoRR, June, 2025

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Wei Wang, Xiping Hu, Steven Hoi, Edith C. H. Ngai

CoRR, February, 2025

Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE.

Haiduo Huang, Fuwei Yang, Zhenhua Liu, Yixing Xu, Jinze Li, Yang Liu, Xuanwu Yin, Dong Li, Pengju Ren, Emad Barsoum

CoRR, February, 2025

Self-Supervised Adaptation Method to Concept Drift for Network Intrusion Detection.

Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Xinchen Zhang, Edith C. H. Ngai

IEEE Trans. Dependable Secur. Comput., 2025

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Wei Wang, Xiping Hu, Edith C. H. Ngai

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking.

Shuo Yang, Yuqin Dai, Guoqing Wang, Xinran Zheng, Jinfeng Xu, Jinze Li, Zhenzhe Ying, Weiqiang Wang, Edith C. H. Ngai

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Edith C. H. Ngai

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, Edith C. H. Ngai

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding.

Jinze Li, Yixing Xu, Haiduo Huang, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Edith C. H. Ngai

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

FourierKAN-GCF: Fourier Kolmogorov-Arnold Network - An Effective and Efficient Feature Transformation for Graph Collaborative Filtering.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai

CoRR, 2024

ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection.

Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Xingjun Wang, Edith C. H. Ngai

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Edith C. H. Ngai

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification.

Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Edith C. H. Ngai

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2022

Bayesian Evidential Learning for Few-Shot Classification.

Xiongkun Linghu, Yan Bai, Yihang Lou, Shengsen Wu, Jinze Li, Jianzhong He, Tao Bai

CoRR, 2022

Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning.

Jinze Li, Yan Bai, Yihang Lou, Xiongkun Linghu, Jianzhong He, Shaoyun Xu, Tao Bai

CoRR, 2022