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ORCIDJieming Zhu
- > Home > Persons > Jieming Zhu
Publications
- 2024
[c74]Sunhao Dai, Ninglu Shao, Jieming Zhu, Xiao Zhang, Zhenhua Dong, Jun Xu, Quanyu Dai, Ji-Rong Wen:
Modeling User Attention in Music Recommendation. ICDE 2024: 761-774- [c73]Ye Wang
, Jiahao Xun, Minjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong:
EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration. KDD 2024: 3245-3254 - [c72]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. KDD 2024: 4455-4466 - [c71]Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. KDD 2024: 6566-6576 - [c70]Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu:
Multi-sourced Integrated Ranking with Exposure Fairness. PAKDD (5) 2024: 207-218 - [c69]Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang:
LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. WWW (Companion Volume) 2024: 38-46 - [c68]Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu:
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. WWW (Companion Volume) 2024: 830-833 - [c65]Dong Yao, Jieming Zhu, Jiahao Xun, Shengyu Zhang, Zhou Zhao, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Xin Jiang:
MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer. WWW (Companion Volume) 2024: 967-970 - [c63]Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining and Generation for Recommendation: A Tutorial. WWW (Companion Volume) 2024: 1272-1275 - [i52]Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Jieming Zhu, Zhenhua Dong, Zhou Zhao:
Unlocking the Potential of Multimodal Unified Discrete Representation through Training-Free Codebook Optimization and Hierarchical Alignment. CoRR abs/2403.05168 (2024) - [i50]Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. CoRR abs/2404.00621 (2024) - [i47]Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu:
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. CoRR abs/2404.09578 (2024) - [i46]Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen:
A Survey on the Memory Mechanism of Large Language Model based Agents. CoRR abs/2404.13501 (2024) - [i45]Mengqun Jin, Zexuan Qiu, Jieming Zhu, Zhenhua Dong, Xiu Li:
Contrastive Quantization based Semantic Code for Generative Recommendation. CoRR abs/2404.14774 (2024) - [i43]Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining and Generation for Recommendation: A Tutorial. CoRR abs/2405.06927 (2024) - [i42]Haiyuan Zhao, Guohao Cai, Jieming Zhu, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time. CoRR abs/2406.07932 (2024) - [i41]Ye Wang, Jiahao Xun, Mingjie Hong, Jieming Zhu, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao, Zhenhua Dong:
EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration. CoRR abs/2406.14017 (2024) - [i40]Minghui Fang, Shengpeng Ji, Jialong Zuo, Hai Huang, Yan Xia, Jieming Zhu, Xize Cheng, Xiaoda Yang, Wenrui Liu, Gang Wang, Zhenhua Dong, Zhou Zhao:
ACE: A Generative Cross-Modal Retrieval Framework with Coarse-To-Fine Semantic Modeling. CoRR abs/2406.17507 (2024) - 2023
- [c60]Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. AAAI 2023: 4552-4560 - [c58]Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang:
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. KDD 2023: 5728-5738 - [c55]Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang:
Data-free Knowledge Distillation for Reusing Recommendation Models. RecSys 2023: 386-395 - [c54]Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu:
DisCover: Disentangled Music Representation Learning for Cover Song Identification. SIGIR 2023: 453-463 - [c53]Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang:
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. SIGIR 2023: 548-557 - [c52]Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang:
FINAL: Factorized Interaction Layer for CTR Prediction. SIGIR 2023: 2006-2010 - [c51]Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu:
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. WWW 2023: 3309-3318 - [i37]Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu:
FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. CoRR abs/2304.00545 (2023) - [i36]Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong:
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. CoRR abs/2304.00902 (2023) - [i34]Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang:
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. CoRR abs/2306.08808 (2023) - [i31]Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu:
DisCover: Disentangled Music Representation Learning for Cover Song Identification. CoRR abs/2307.09775 (2023) - [i26]Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang:
Ten Challenges in Industrial Recommender Systems. CoRR abs/2310.04804 (2023) - [i24]Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang:
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. CoRR abs/2311.18213 (2023) - [i23]Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Ruiming Tang, Xin Jiang:
Music-PAW: Learning Music Representations via Hierarchical Part-whole Interaction and Contrast. CoRR abs/2312.06197 (2023) - 2022
- [c50]Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu:
MINER: Multi-Interest Matching Network for News Recommendation. ACL (Findings) 2022: 343-352 - [c49]Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang:
LCD: Adaptive Label Correction for Denoising Music Recommendation. CIKM 2022: 3903-3907 - [c44]Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. SIGIR 2022: 2692-2697 - [i19]Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. CoRR abs/2204.11165 (2022) - 2021
- [c39]Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CIKM 2021: 1243-1252 - [i15]Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He:
SimpleX: A Simple and Strong Baseline for Collaborative Filtering. CoRR abs/2109.12613 (2021)
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last updated on 2024-09-25 01:42 CEST by the dblp team
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