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2020 – today
- 2026
[c9]Yankun Le
, Fu Zhang, Haoran Li, Baoyuan Ou, Yingjie Qin, Zhixuan Yang, Ruilong Su:
Countering Interest Over-Smoothing: Distilling Latent Factors via Diffusion for Multi-Interest Retrieval. SIGIR 2026: 881-890- [i8]Tianhe Lin, Ziwei Xiong, Baoyuan Ou, Yingjie Qin, Lai Xu, Xiaocheng Zhong, Yao Hu, Zhiyong Wang, Tao Zhou, Yubin Xu, Di Wu:
LASER: An Efficient Target-Aware Segmented Attention Framework for End-to-End Long Sequence Modeling. CoRR abs/2602.11562 (2026) - [i7]Kangning Zhang, Yingjie Qin, Weinan Zhang, Yong Yu, Jianghao Lin:
DiffCold: A Diffusion-based Generative Model for Cold-Start Item Recommendation. CoRR abs/2606.12245 (2026) - 2025
- [c8]Sijiang Huang, Xiaohui Xie, Mowei Wang, Lingfeng Peng, Cong Li, Yong Zhang, Yingjie Qin, Liang Zhang, Yong Cui:
Modeling Flow-level Traffic Demand for Network Performance Evaluation and Optimization. ICNP 2025: 1-13 - [c7]Haoran Li, Yingjie Qin, Baoyuan Ou, Lai Xu, Ruiwen Xu:
HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models. NeurIPS 2025 - [i6]Yankun Le, Haoran Li, Baoyuan Ou, Yingjie Qin, Zhixuan Yang, Ruilong Su, Fu Zhang:
Diffusion Model for Interest Refinement in Multi-Interest Recommendation. CoRR abs/2502.05561 (2025) - [i5]Haoran Li, Yingjie Qin, Baoyuan Ou, Lai Xu, Ruiwen Xu:
HoPE: Hybrid of Position Embedding for Length Generalization in Vision-Language Models. CoRR abs/2505.20444 (2025) - [i4]Wei Xu, Haoran Li, Baoyuan Ou, Lai Xu, Yingjie Qin, Ruilong Su, Ruiwen Xu:
GIST: Cross-Domain Click-Through Rate Prediction via Guided Content-Behavior Distillation. CoRR abs/2507.05142 (2025) - 2024
- [c6]Kangning Zhang, Yingjie Qin, Ruilong Su, Yifan Liu, Weinan Zhang, Yong Yu:
A Dual-Aligned Model for Multimodal Recommendation. CCIR 2024: 14-27 - [c5]Yifan Liu, Kangning Zhang, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Yong Yu, Weinan Zhang:
AlignRec: Aligning and Training in Multimodal Recommendations. CIKM 2024: 1503-1512 - [i3]Yifan Liu, Kangning Zhang, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Weinan Zhang:
An Aligning and Training Framework for Multimodal Recommendations. CoRR abs/2403.12384 (2024) - [i2]Kangning Zhang, Yingjie Qin, Ruilong Su, Yifan Liu, Jiarui Jin, Weinan Zhang, Yong Yu:
DRepMRec: A Dual Representation Learning Framework for Multimodal Recommendation. CoRR abs/2404.11119 (2024) - [i1]Kangning Zhang, Jiarui Jin, Yingjie Qin, Ruilong Su, Jianghao Lin, Yong Yu, Weinan Zhang:
Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation. CoRR abs/2410.19276 (2024) - 2021
- [c4]Rujia Cai, Yingjie Qin, Lizhe Qi, Yunquan Sun:
SimDet: Cross Similarity Attention for One-shot Object Detection. IJCNN 2021: 1-7 - 2020
- [c3]Ming Chen, Hang Ying, Yingjie Qin, Lizhe Qi, Zhongxue Gan, Yunquan Sun:
Adaptive Graph Reasoning Network for Fashion Landmark Detection. ECAI 2020: 2672-2679
2010 – 2019
- 2019
- [c2]Ming Chen, Yingjie Qin, Lizhe Qi, Yunquan Sun:
Improving Fashion Landmark Detection by Dual Attention Feature Enhancement. ICCV Workshops 2019: 3101-3104 - [c1]Yingjie Qin, Ming Chen, Lizhe Qi, Yunquan Sun:
Focus Generator with Score Classification on Fabric Defect Detection. ICTAI 2019: 1708-1714
Coauthor Index
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