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Mingyue Cheng
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2020 – today
- 2024
- [j12]Mingyue Cheng, Qi Liu, Wenyu Zhang, Zhiding Liu, Hongke Zhao, Enhong Chen:
A general tail item representation enhancement framework for sequential recommendation. Frontiers Comput. Sci. 18(6): 186333 (2024) - [j11]Mingyue Cheng, Hong Zhou, Haobo Zhang, Xinchao Zhang, Shuting Zhang, Hong Bai, Yugo Zha, Dan Luo, Dan Chen, Siyuan Chen, Kang Ning, Wei Liu:
Hidden Links Between Skin Microbiome and Skin Imaging Phenome. Genom. Proteom. Bioinform. 22(4) (2024) - [j10]Min Luo, Yu Huang, Mingyue Cheng, Xuan Chen, Miaowen Wen, Chan-Byoung Chae:
Integrating Model-Based and Data-Driven Detectors for Molecular MIMO Systems. IEEE Wirel. Commun. Lett. 13(6): 1720-1724 (2024) - [c22]Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li:
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. APWeb/WAIM (2) 2024: 193-208 - [c21]Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen:
Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. CIKM 2024: 4288-4292 - [c20]Yu Huang, Xuewei Huang, Fei Ji, Mingyue Cheng, Xuan Chen, Miaowen Wen:
Demo: A Non-invasive and High-speed Molecular Communication Testbed with Capacitive Sensing. INFOCOM (Workshops) 2024: 1-2 - [c19]Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li:
Generative Pretrained Hierarchical Transformer for Time Series Forecasting. KDD 2024: 2003-2013 - [c18]Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan:
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. WSDM 2024: 208-217 - [c17]Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen:
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. WWW (Companion Volume) 2024: 1035-1038 - [i24]Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li:
Generative Pretrained Hierarchical Transformer for Time Series Forecasting. CoRR abs/2402.16516 (2024) - [i23]Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu, Zhi Li:
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. CoRR abs/2403.01493 (2024) - [i22]Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li:
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. CoRR abs/2403.07623 (2024) - [i21]Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen:
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. CoRR abs/2403.08305 (2024) - [i20]Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo:
Advancing Time Series Classification with Multimodal Language Modeling. CoRR abs/2403.12371 (2024) - [i19]Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Chenyi Lei:
Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model. CoRR abs/2403.12372 (2024) - [i18]Qitao Qin, Yucong Luo, Mingyue Cheng, Qingyang Mao, Chenyi Lei:
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation. CoRR abs/2409.07500 (2024) - [i17]Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu, Yanhu Xie:
HMF: A Hybrid Multi-Factor Framework for Dynamic Intraoperative Hypotension Prediction. CoRR abs/2409.11064 (2024) - [i16]Shuo Yu, Mingyue Cheng, Jiqian Yang, Jie Ouyang:
A Knowledge-Centric Benchmarking Framework and Empirical Study for Retrieval-Augmented Generation. CoRR abs/2409.13694 (2024) - [i15]Li Li, Mingyue Cheng, Zhiding Liu, Hao Zhang, Qi Liu, Enhong Chen:
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation. CoRR abs/2409.14810 (2024) - [i14]Jie Ouyang, Yucong Luo, Mingyue Cheng, Daoyu Wang, Shuo Yu, Qi Liu, Enhong Chen:
Revisiting the Solution of Meta KDD Cup 2024: CRAG. CoRR abs/2409.15337 (2024) - [i13]Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu, Enhong Chen:
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting. CoRR abs/2410.05711 (2024) - [i12]Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen:
Learning Recommender Systems with Soft Target: A Decoupled Perspective. CoRR abs/2410.06536 (2024) - 2023
- [j9]Haohong Zhang, Hui Chong, Qingyang Yu, Yuguo Zha, Mingyue Cheng, Kang Ning:
Tracing human life trajectory using gut microbial communities by context-aware deep learning. Briefings Bioinform. 24(1) (2023) - [j8]Mingyue Cheng, Quansheng Guan, Fei Ji, Yu Huang, Tony Q. S. Quek:
Mobile Relaying Between USV and AUV Under FER Constraints for Underwater Data Transmission. IEEE Commun. Lett. 27(12): 3429-3433 (2023) - [j7]Mingyue Cheng, Quansheng Guan, Qianqian Wang, Fei Ji, Tony Q. S. Quek:
FER-Restricted AUV-Relaying Data Collection in Underwater Acoustic Sensor Networks. IEEE Trans. Wirel. Commun. 22(12): 9131-9142 (2023) - [c16]Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li:
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification. DASFAA (4) 2023: 353-369 - [c15]Mingyue Cheng:
Research on Admittance Control of Massage Robot Based on RBF Neural Network Sliding Mode Algorithm. EITCE 2023: 1650-1655 - [c14]Mingyue Cheng, Qianqian Wang, Quansheng Guan, Weiqi Chen, Tony Q. S. Quek:
Frame Error Rate Restricted AUV Relaying Data Collection in Underwater Acoustic Sensor Networks. ICC 2023: 6175-6180 - [c13]Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma:
Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. ICDE 2023: 3801-3802 - [c12]Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen:
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective. NeurIPS 2023 - [c11]Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. WWW 2023: 1437-1445 - [i11]Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li:
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification. CoRR abs/2302.05021 (2023) - [i10]Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. CoRR abs/2302.09818 (2023) - [i9]Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Enhong Chen:
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. CoRR abs/2303.00320 (2023) - [i8]Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan:
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. CoRR abs/2305.15036 (2023) - [i7]Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu:
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. CoRR abs/2309.10435 (2023) - [i6]Hao Zhang, Mingyue Cheng, Qi Liu, Zhiding Liu, Enhong Chen:
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. CoRR abs/2311.00388 (2023) - [i5]Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Qi Liu, Enhong Chen:
Unlocking the Potential of Large Language Models for Explainable Recommendations. CoRR abs/2312.15661 (2023) - 2022
- [j6]Hui Chong, Yuguo Zha, Qingyang Yu, Mingyue Cheng, Guangzhou Xiong, Nan Wang, Xinhe Huang, Shijuan Huang, Chuqing Sun, Sicheng Wu, Wei-Hua Chen, Luís Pedro Coelho, Kang Ning:
EXPERT: transfer learning-enabled context-aware microbial community classification. Briefings Bioinform. 23(6) (2022) - [j5]Mingyue Cheng, Quansheng Guan, Fei Ji, Julian Cheng, Yankun Chen:
Dynamic-Detection-Based Trajectory Planning for Autonomous Underwater Vehicle to Collect Data From Underwater Sensors. IEEE Internet Things J. 9(15): 13168-13178 (2022) - [j4]Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma:
Collaborative List-and-Pairwise Filtering From Implicit Feedback. IEEE Trans. Knowl. Data Eng. 34(6): 2667-2680 (2022) - [j3]Mingyue Cheng, Quansheng Guan, Fei Ji, Julian Cheng, Weiqi Chen:
Mobile Relaying-Based Reliable Data Collection in Underwater Acoustic Sensor Networks. IEEE Wirel. Commun. Lett. 11(9): 1795-1799 (2022) - [c10]Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen:
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF. CICAI (3) 2022: 248-259 - [c9]Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen:
One Person, One Model - Learning Compound Router for Sequential Recommendation. ICDM 2022: 289-298 - [c8]Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. SIGIR 2022: 1566-1576 - [c7]Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen:
Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation. WWW 2022: 1923-1932 - [i4]Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. CoRR abs/2205.08772 (2022) - [i3]Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li:
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. CoRR abs/2206.06190 (2022) - [i2]Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen:
One Person, One Model-Learning Compound Router for Sequential Recommendation. CoRR abs/2211.02824 (2022) - [i1]Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen:
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF. CoRR abs/2211.04759 (2022) - 2021
- [c6]Mingyue Cheng, Fei Ji, Quansheng Guan:
Dynamic Detecting Based Trajectory Planning for AUV to Collect Data from Underwater Sensors. ICC 2021: 1-6 - [c5]Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen:
Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. ICDM 2021: 51-60 - [c4]Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen:
LawyerPAN: A Proficiency Assessment Network for Trial Lawyers. KDD 2021: 5-13 - [c3]Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen:
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. SIGIR 2021: 575-584 - [c2]Linan Yue, Qi Liu, Binbin Jin, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu:
NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction. SIGIR 2021: 973-982 - 2020
- [j2]Wang-Lin Liu, Mingyue Cheng, Jinman Li, Peng Zhang, Hang Fan, Qinghe Hu, Maozhen Han, Longxiang Su, Huaiwu He, Yigang Tong, Kang Ning, Yun Long:
Classification of the Gut Microbiota of Patients in Intensive Care Units During Development of Sepsis and Septic Shock. Genom. Proteom. Bioinform. 18(6): 696-707 (2020)
2010 – 2019
- 2019
- [j1]Mingyue Cheng, Kang Ning:
Stereotypes About Enterotype: the Old and New Ideas. Genom. Proteom. Bioinform. 17(1): 4-12 (2019) - [c1]Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen:
Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering. ICDM 2019: 1000-1005
Coauthor Index
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last updated on 2024-11-20 20:58 CET by the dblp team
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