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2020 – today
- 2025
[j5]Jiajie Su
, Chaochao Chen, Yihao Wang, Weiming Liu, Yuyuan Li, Tao Wang, Zhigang Li, Xiaolin Zheng, Jianwei Yin:
DuAda: Adaptive Targeted Model Poisoning Attack Framework via Dummy User Simulation on Federated Recommendation. ACM Trans. Inf. Syst. 43(6): 161:1-161:37 (2025)- [c12]Yihao Wang, Jiajie Su, Chaochao Chen, Meng Han, Chi Zhang, Jun Wang:
Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation. AAAI 2025: 12766-12774 - [c11]Jiajie Su, Chaochao Chen, Weiming Liu, Yuhang Wang, Yihao Wang, Zheqi Lv, Xiaolin Zheng, Jianwei Yin:
Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation. KDD (2) 2025: 2668-2679 - [i9]Jiajie Su, Qiyong Zhong, Yunshan Ma, Yuwei Liu, Chao-Chao Chen, Xiaolin Zheng, Jianwei Yin, Tat-Seng Chua:
Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation. CoRR abs/2504.10538 (2025) - [i8]Zheqi Lv, Wenqiao Zhang, Kairui Fu, Qi Tian, Shengyu Zhang, Jiajie Su, Jingyuan Chen, Kun Kuang, Fei Wu:
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing. CoRR abs/2509.06552 (2025) - [i7]Qiyong Zhong, Jiajie Su, Yunshan Ma, Julian J. McAuley, Yupeng Hou:
Pctx: Tokenizing Personalized Context for Generative Recommendation. CoRR abs/2510.21276 (2025) - [i6]Qiyong Zhong, Jiajie Su, Ming Yang, Yunshan Ma, Xiaolin Zheng, Chaochao Chen:
A Remarkably Efficient Paradigm to Multimodal Large Language Models for Sequential Recommendation. CoRR abs/2511.05885 (2025) - [i5]Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiaolin Zheng, Chaochao Chen:
Potent but Stealthy: Rethink Profile Pollution against Sequential Recommendation via Bi-level Constrained Reinforcement Paradigm. CoRR abs/2511.09392 (2025) - 2024
- [j4]Xiaolin Zheng, Weiming Liu, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan:
Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation. IEEE Trans. Knowl. Data Eng. 36(12): 8758-8772 (2024) - [c10]Xinping Zhao, Chaochao Chen, Jiajie Su, Yizhao Zhang, Baotian Hu:
Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation. ICWS 2024: 247-257 - [c9]Jiajie Su, Chaochao Chen, Weiming Liu, Zibin Lin, Shuheng Shen, Weiqiang Wang, Xiaolin Zheng:
Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. SIGIR 2024: 1722-1732 - [c8]Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang:
User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. WWW 2024: 334-343 - [i4]Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng:
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. CoRR abs/2402.14473 (2024) - [i3]Xinping Zhao, Chaochao Chen, Jiajie Su, Yizhao Zhang, Baotian Hu:
Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation. CoRR abs/2410.10296 (2024) - 2023
- [j3]Weiming Liu, Xiaolin Zheng, Jiajie Su, Longfei Zheng, Chaochao Chen, Mengling Hu:
Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11216-11230 (2023) - [c7]Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, Xiaolin Zheng:
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. ACM Multimedia 2023: 6321-6331 - [c6]Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu:
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. WWW 2023: 165-176 - [c5]Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan:
Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. WWW 2023: 383-394 - 2022
- [j2]Jiachen Wang, Xiwen Cai, Jiajie Su, Yu Liao, Yingcai Wu:
What makes a scatterplot hard to comprehend: data size and pattern salience matter. J. Vis. 25(1): 59-75 (2022) - [c4]Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen:
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. ACM Multimedia 2022: 471-481 - [c3]Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen:
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. SIGIR 2022: 312-321 - [c2]Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang:
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. WWW 2022: 1455-1465 - [i2]Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang:
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. CoRR abs/2202.04893 (2022) - [i1]Xiaolin Zheng, Jiajie Su, Weiming Liu, Chaochao Chen:
DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. CoRR abs/2209.10163 (2022) - 2021
- [j1]Wenqiao Zhang, Siliang Tang, Jiajie Su, Jun Xiao, Yueting Zhuang:
Tell and guess: cooperative learning for natural image caption generation with hierarchical refined attention. Multim. Tools Appl. 80(11): 16267-16282 (2021) - [c1]Weiming Liu, Jiajie Su, Chaochao Chen, Xiaolin Zheng:
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation. NeurIPS 2021: 19223-19234
Coauthor Index
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