ACDC Advanced Cross-media Data Computing Group @BUPT
PUBLICATIONS
相关成果

收录 2023 年以来正式发表的同行评审期刊与会议论文；不收录 arXiv/CoRR 预印本，文献信息以 DBLP 为准。
Peer-reviewed journal and conference papers from 2023 onward. Preprints (arXiv/CoRR) are excluded; records are verified against DBLP.

2026
  1. Jinpeng Chen, Huachen Guan, Hongbo Gao, Huan Li, Zhenye Yang, Fan Zhang, Kaimin Wei, Feifei Kou, Xindong Wu. Enhancing Explainable Sequential Recommendation With Disentangled Representations and Auxiliary Review Explanations. IEEE Trans. Comput. Soc. Syst. [PDF]
  2. Kaimin Wei, Jin Qian, Chengkun Jia, Jinpeng Chen, Jilian Zhang, Yongdong Wu, Jinyu Zhu, Yuhan Guo. Medical Image Privacy in Federated Learning: Segmentation-Reorganization and Sparsified Gradient Matching Attacks. IEEE J. Biomed. Health Informatics. [PDF]
  3. Xiaohui Chen, Kaimin Wei, Jinpeng Chen. Adapt-MDRL: An Adaptive Multiagent Deep Reinforcement Learning Framework for Dynamic UAV Crowdsensing. IEEE Trans. Aerosp. Electron. Syst. [PDF]
  4. Jinpeng Chen, Fan Zhang, Huan Li, Hua Lu, Kaimin Wei, Senzhang Wang, Christian S. Jensen. M4Rec: Multi-Modal Knowledge Graph Modeling of Multi-Dimensional User Preferences for Next-POI Recommendation. IEEE Trans. Knowl. Data Eng. [PDF]
  5. Fan Zhang, Jinpeng Chen, Tao Wang, Huan Li, Senzhang Wang, Feifei Kou, Ye Ji, Kaimin Wei, Zhenye Yang. DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation. AAAI 2026. [PDF]
  6. Jinpeng Chen, Jianxiang He, Yuan Cao, Huan Li, Zhenye Yang, Kaimin Wei, Xiongnan Jin, Senzhang Wang, Weiping Tu. Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation. WWW 2026. [PDF]
  7. Xingyu Zheng, Kaimin Wei, Zhiquan Liu, Jinpeng Chen, Chengkun Jia, Jilian Zhang. E2E-PP: End-to-End Privacy Protection via Compressive Sensing and Personalized Differential Privacy for Mobile Crowdsensing. Comput. Secur. [PDF]
  8. Mengge Jiao, Kaimin Wei, Zhiquan Liu, Jinpeng Chen, Chengkun Jia, Yan Li, Tingrui Pei. Towards Dynamic Cooperative Scheduling in Multi-UAV Urban Sensing: A Hierarchical Reinforcement Learning Approach. Internet Things. [PDF]
  9. Shiting Zhao, Kaimin Wei, Zhiquan Liu, Jinpeng Chen. STA-MS: A Many-to-Many Stable Task Allocation Based on Multi-Round Selection in Mobile Crowdsensing. J. Netw. Comput. Appl. [PDF]
  10. Jinpeng Chen, Wenbo Fu, Huachen Guan, Fan Zhang, Zhenye Yang, Jianxiang He, Hongbo Gao, Kaimin Wei. Frequency-Enhanced Heterogeneous Graph-Based Sequential Recommendation with Disentangled Methods. Knowl. Inf. Syst. [PDF]
  11. Yicheng Ji, Jun Zhang, Jinpeng Chen, Cong Wang, Lidan Shou, Gang Chen, Huan Li. See the Forest for the Trees: Loosely Speculative Decoding via Visual-Semantic Guidance for Efficient Inference of Video LLMs. ACL 2026. [PDF]
2025
  1. Chuxiong Sun, Muhan Zhang, Jie Hu, Hongming Gu, Jinpeng Chen, Mingchuan Yang. Adaptive Graph Diffusion Networks: Compact and Expressive GNNs with Large Receptive Fields. Artif. Intell. Rev. [PDF]
  2. Jinqing Wang, Yuan Cao, Fan Zhang, Feifei Kou, Kaimin Wei, Jinghui Zhang, Jinpeng Chen. IDBR: Interaction-Aware Dual-Granularity Learning for Bundle Recommendation. Big Data Min. Anal. [PDF]
  3. Jinpeng Chen, Jinqing Wang, Fan Zhang, Yuan Cao, Kaimin Wei, Liwei Huang, Haoran Zhu, Feifei Kou, Hongben Huang. Dual-view Collaboration Fusion on Diffusion Learning for Bundle Recommendation. Inf. Fusion. [PDF]
  4. Xiaohui Chen, Kaimin Wei, Jinpeng Chen, Yongdong Wu. PD-DRL: Towards Privacy-Preserving and Energy-Sustainable UAV Crowdsensing. Internet Things. [PDF]
  5. Kaimin Wei, Shiting Zhao, Jinpeng Chen, Tingrui Pei, Dezhi Sun. Privacy-Preserving Multitask Online Matching in Mobile Crowdsensing: A Snapshot-Based Approach. IEEE Internet Things J. [PDF]
  6. Chuxiong Sun, Jie Hu, Hongming Gu, Jinpeng Chen, Wei Liang, Mingchuan Yang. Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training. Pattern Recognit. [PDF]
  7. Hongbo Gao, Chengbo Wang, Runda Niu, Xiaozhao Fang, Jinpeng Chen, Yining Sun, Huiqing Jin, Danwei Wang. Driving Risk Assessment for Intelligent Vehicles Based on Entropy-Informed Graph Neural Networks and Gaussian Distributions. IEEE Trans. Neural Networks Learn. Syst. [PDF]
  8. Xiongnan Jin, Zhilin Wang, Jinpeng Chen, Liu Yang, Byungkook Oh, Seung-won Hwang, Jianqiang Li. HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models. AAAI 2025. [PDF]
  9. Weihong Bi, Feifei Kou, Lei Shi, Yawen Li, Haisheng Li, Jinpeng Chen, Mingying Xu. Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection. AAAI 2025. [PDF]
  10. Jinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji. Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation. SIGIR 2025. [PDF]
  11. Jinpeng Chen, Huachen Guan, Fan Zhang, Zhenye Yang, Jianxiang He, Hongbo Gao, Kaimin Wei. Heterogeneous Graph-based Sequential Recommendation with Disentangled Methods. ICDM 2025. [PDF]
  12. Zhenye Yang, Jinpeng Chen, Huan Li, Xiongnan Jin, Xuanyang Li, Junwei Zhang, Hongbo Gao, Kaimin Wei, Senzhang Wang. STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation. CIKM 2025. [PDF]
  13. Fan Zhang, Jinpeng Chen, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Jianxiang He, Feifei Kou, Jinqing Wang. Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation. ACM MM 2025. [PDF]
  14. Kaimin Wei, Guozi Qi, Lin Cui, Jinpeng Chen, Xiaohui Chen, Ke Xu. Stable Task Allocation in Mobile Crowdsensing: An Interruption-Driven Approach. IEEE Trans. Netw. Serv. Manag. [PDF]
  15. Yicheng Ji, Jun Zhang, Heming Xia, Jinpeng Chen, Lidan Shou, Gang Chen, Huan Li. SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning. EMNLP 2025. [PDF]
  16. Yichen Yan, Ming Zhong, Qi Zhu, Xiaoling Gu, Jinpeng Chen, Huan Li. CoIDO: Efficient Data Selection for Visual Instruction Tuning via Coupled Importance-Diversity Optimization. NeurIPS 2025. [PDF]
2024
  1. Xiaochuan Lin, Kaimin Wei, Zhetao Li, Jinpeng Chen, Tingrui Pei. Aggregation-based Dual Heterogeneous Task Allocation in Spatial Crowdsourcing. Frontiers Comput. Sci. [PDF]
  2. Jinpeng Chen, Haiyang Li, Xudong Zhang, Fan Zhang, Senzhang Wang, Kaimin Wei, Jiaqi Ji. SR-HetGNN: Session-Based Recommendation with Heterogeneous Graph Neural Network. Knowl. Inf. Syst. [PDF]
  3. Fan Zhang, Yaoyao Zhou, Pengfei Sun, Yi Xu, Wanjiang Han, Hongben Huang, Jinpeng Chen. CRAS: Cross-Domain Recommendation via Aspect-Level Sentiment Extraction. Knowl. Inf. Syst. [PDF]
  4. Kaimin Wei, Guozi Qi, Zhetao Li, Song Guo, Jinpeng Chen. Group Task Recommendation in Mobile Crowdsensing: An Attention-Based Neural Collaborative Approach. IEEE Trans. Mob. Comput. [PDF]
  5. Jinpeng Chen, Fan Zhang, Huan Li, Hua Lu, Xiongnan Jin, Kuien Liu, Hongjun Li, Yongheng Wang. EMPNet: An Extract-Map-Predict Neural Network Architecture for Cross-Domain Recommendation. World Wide Web. [PDF]
  6. Huan Bao, Kaimin Wei, Yao Chen, Hanting Hou, Jinpeng Chen, Yongdong Wu. From Black-box to Label-only: A Plug-and-Play Attack Network for Model Inversion. BMVC 2024. [PDF]
  7. Jinpeng Chen, Huachen Guan, Huan Li, Fan Zhang, Liwei Huang, Guangyao Pang, Xiongnan Jin. PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation. CIKM 2024. [PDF]
  8. Jin Qian, Kaimin Wei, Yongdong Wu, Jilian Zhang, Jinpeng Chen, Huan Bao. GI-SMN: Gradient Inversion Attack Against Federated Learning Without Prior Knowledge. ICIC 2024. [PDF]
2023
  1. Dongliang Cao, Kaimin Wei, Yongdong Wu, Jilian Zhang, Bingwen Feng, Jinpeng Chen. FePN: A Robust Feature Purification Network to Defend Against Adversarial Examples. Comput. Secur. [PDF]
  2. Xiaoqian Liu, Xiuyun Li, Yuan Cao, Fan Zhang, Xiongnan Jin, Jinpeng Chen. Mandari: Multi-Modal Temporal Knowledge Graph-aware Sub-graph Embedding for Next-POI Recommendation. ICME 2023. [PDF]