| 2026 | AAAI | 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 |
| 2026 | ACL | 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 |
| 2026 | ACL | Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing. | Wenhao Yuan, Chenchen Lin, Jian Chen, Jinfeng Xu, Xuehe Wang, Edith Cheuk-Han Ngai |
| 2026 | ICDE | 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 |
| 2026 | INFOCOM | Multi-Agent System for Orchestrating Retrieval and Multimodal Reasoning in Cloud Environments. | Shuo Yang, Xinran Zheng, Jinfeng Xu, Jinze Li, Zewei Liu, Edith C. H. Ngai |
| 2026 | KDD | 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 |
| 2026 | KDD | 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 |
| 2026 | NDSS | CoLD: Collaborative Label Denoising Framework for Network Intrusion Detection. | Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Edith C. H. Ngai |
| 2026 | WWW | 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 |
| 2026 | SIGIR | 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 |
| 2025 | AAAI | MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation. | Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Edith C. H. Ngai |
| 2025 | AAAI | More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding. | Yuan Tang, Xu Han, Xianzhi Li, Qiao Yu, Jinfeng Xu, Yixue Hao, Long Hu, Min Chen |
| 2025 | CIKM | Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation. | Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai |
| 2025 | CIKM | Hypercomplex Prompt-aware Multimodal Recommendation. | Zheyu Chen, Jinfeng Xu, Hewei Wang, Shuo Yang, Zitong Wan, Haibo Hu |
| 2025 | CVPR | SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds. | Jinfeng Xu, Xianzhi Li, Yuan Tang, Xu Han, Qiao Yu, Yixue Hao, Long Hu, Min Chen |
| 2025 | CVPR | MoST: Efficient Monarch Sparse Tuning for 3D Representation Learning. | Xu Han, Yuan Tang, Jinfeng Xu, Xianzhi Li |
| 2025 | ICASSP | Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network. | Zheyu Chen, Jinfeng Xu, Haibo Hu |
| 2025 | IROS | Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration. | Jinjiang You, Hewei Wang, Yijie Li, Mingxiao Huo, Long Van Tran Ha, Mingyuan Ma, Jinfeng Xu, Jiayi Zhang, Puzhen Wu, Shubham Garg, Wei Pu |
| 2025 | KDD | 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 |
| 2025 | MICCAI | Multimodal Fusion Network with Distribution-Based Tumor-Marker Imputation for Multi-origin Metastatic Cervical Lymphadenopathy Classification. | Rui Li, Chunyan Li, Xi Lin, Jinfeng Xu, Fang Li, Yao Lu |
| 2025 | RecSys | 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 |
| 2025 | SIGIR | COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation. | Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Sang-Wook Kim, Edith C. H. Ngai |
| 2025 | SIGIR | Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering. | Zheyu Chen, Jinfeng Xu, Yutong Wei, Ziyue Peng |
| 2024 | CIKM | Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification. | Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Edith C. H. Ngai |
| 2024 | CIKM | 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 |
| 2024 | CVPR | PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation. | Jinfeng Xu, Siyuan Yang, Xianzhi Li, Yuan Tang, Yixue Hao, Long Hu, Min Chen |
| 2024 | KDD | 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 |
| 2023 | AAAI | CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion. | Jinfeng Xu, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu, Min Chen |
| 2023 | CSCWD | Crowd Intelligent Grouping Collaboration Evacuation via Multi-agent Reinforcement Learning. | Yuan Tang, Xu Zhang, Rui Wang, Jinfeng Xu, Long Hu, Yixue Hao |
| 2023 | ICDE | Active Sampling for Sparse Table by Bayesian Optimization with Adaptive Resolution. | Xiao He, Jian Tan, Bin Wu, Feifei Li, Xinping Zhang, Gaozhong Liang, Jinfeng Xu |
| 2023 | MMSP | Predicting the Invariance Behind Residuals: A Novel GAN Inversion Method for Image Editing and Detail Retaining. | Zhimo Yan, Jinfeng Xu, Hengyang He, Shengxi Li, Ren Yang, Mai Xu, Ce Zhu |