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2020 – today
- 2024
[c6]Jieming Zhu
, Mengqun Jin, Qijiong Liu, Zexuan Qiu, Zhenhua Dong, Xiu Li:
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation. RecSys 2024: 969-974- [c5]Xianghui Zhu, Mengqun Jin, Hengyu Zhang, Chang Meng, Daoxin Zhang, Xiu Li:
Modeling Domains as Distributions with Uncertainty for Cross-Domain Recommendation. SIGIR 2024: 2517-2521 - [i2]Mengqun Jin, Zexuan Qiu, Jieming Zhu, Zhenhua Dong, Xiu Li:
Contrastive Quantization based Semantic Code for Generative Recommendation. CoRR abs/2404.14774 (2024) - 2023
- [c4]Mengqun Jin, Kai Li, Shuyan Li, Chunming He, Xiu Li:
Towards Realizing the Value of Labeled Target Samples: A Two-Stage Approach for Semi-Supervised Domain Adaptation. ICASSP 2023: 1-5 - [i1]Mengqun Jin, Kai Li, Shuyan Li, Chunming He, Xiu Li:
Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation. CoRR abs/2304.10762 (2023) - 2021
- [c3]Wenhao Zhao, Shijiao Yang, Mengqun Jin:
Near-duplicate Video Retrieval Based on Deep Unsupervised Key Frame Hashing. CSE 2021: 80-86 - 2020
- [c2]Delong Zhang, Mengqun Jin, Peng Cao:
ST-MetaDiagnosis: Meta learning with Spatial Transform for rare skin disease Diagnosis. BIBM 2020: 2153-2160 - [c1]Mengqun Jin, Delong Zhang, Peng Cao:
AMIL: An attentional multi-instance learning for computer-aided diagnosis of skin diagnosis. ISICDM 2020: 177-181
Coauthor Index
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