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2020 – today
- 2025
[j13]Fang Shi
, Weiwei Lin, Chaoda Peng, Cankun Zhong, Dong Wang, Mingyue Cheng:
Dynamic Client Selection for Over-the-Air Federated Learning Network. IEEE Internet Things J. 12(12): 18508-18519 (2025)- [c42]Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen:
TestAgent: An Adaptive and Intelligent Expert for Human Assessment. ACL (Findings) 2025: 724-747 - [c41]Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu:
HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation. ACL (1) 2025: 6036-6063 - [c40]Jiahao Wang, Mingyue Cheng, Qingyang Mao, Yitong Zhou, Daoyu Wang, Qi Liu, Feiyang Xu, Xin Li:
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models. CIKM 2025: 3009-3019 - [c39]Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen:
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study. CIKM 2025: 3931-3941 - [c38]Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang:
am-ELO: A Stable Framework for Arena-based LLM Evaluation. ICML 2025 - [c37]Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu:
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation. ICML 2025 - [c36]Yitong Zhou, Mingyue Cheng, Qingyang Mao, Jiahao Wang, Feiyang Xu, Xin Li:
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner. IJCAI 2025: 2503-2511 - [c35]Hao Zhang, Mingyue Cheng, Zhiding Liu, Junzhe Jiang:
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. IJCAI 2025: 3624-3632 - [c34]Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu:
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension. IJCAI 2025: 4923-4931 - [c33]Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang:
Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting. IJCAI 2025: 6993-7001 - [c32]Yue Chen, Susen Yang, Tong Zhang, Chao Wang, Mingyue Cheng, Chenyi Lei, Han Li:
Lasso: Large Language Model-based User Simulator for Cross-Domain Recommendation. RecSys 2025: 207-216 - [c31]Mingfan Pan, Qingyang Mao, Xu An, Jianhui Ma, Gang Zhou, Mingyue Cheng, Enhong Chen:
Tag-augmented Dual-target Cross-domain Recommendation. RecSys 2025: 451-460 - [c30]Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Defu Lian:
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations. WSDM 2025: 175-183 - [c29]Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo, Enhong Chen:
InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling. WSDM 2025: 792-800 - [c28]Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu, Zhi Li, Shijin Wang:
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. WWW (Companion Volume) 2025: 171-180 - [i55]Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu:
HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation. CoRR abs/2503.04800 (2025) - [i54]Mingyue Cheng, Yucong Luo, Jie Ouyang, Qi Liu, Huijie Liu, Li Li, Shuo Yu, Bohou Zhang, Jiawei Cao, Jie Ma, Daoyu Wang, Enhong Chen:
A Survey on Knowledge-Oriented Retrieval-Augmented Generation. CoRR abs/2503.10677 (2025) - [i53]Hao Zhang, Mingyue Cheng, Qi Liu, Junzhe Jiang, Xianquan Wang, Rujiao Zhang, Chenyi Lei, Enhong Chen:
A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and Prospects. CoRR abs/2503.14110 (2025) - [i52]Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang:
am-ELO: A Stable Framework for Arena-based LLM Evaluation. CoRR abs/2505.03475 (2025) - [i51]Jintao Zhang, Zirui Liu, Mingyue Cheng, Shilong Zhang, Tingyue Pan, Qi Liu, Yanhu Xie:
Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model. CoRR abs/2505.22116 (2025) - [i50]Zhiding Liu, Mingyue Cheng, Guanhao Zhao, Jiqian Yang, Qi Liu, Enhong Chen:
Improving Time Series Forecasting via Instance-aware Post-hoc Revision. CoRR abs/2505.23583 (2025) - [i49]Jiahao Wang, Mingyue Cheng, Qi Liu:
Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting. CoRR abs/2505.24511 (2025) - [i48]Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen:
TestAgent: An Adaptive and Intelligent Expert for Human Assessment. CoRR abs/2506.03032 (2025) - [i47]Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yuting Zeng, Qi Liu, Tongxuan Liu:
Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts? CoRR abs/2506.04575 (2025) - [i46]Yucong Luo, Yitong Zhou, Mingyue Cheng, Jiahao Wang, Daoyu Wang, Tingyue Pan, Jintao Zhang:
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs. CoRR abs/2506.10630 (2025) - [i45]Yitong Zhou, Mingyue Cheng, Qingyang Mao, Yucong Luo, Qi Liu, Yupeng Li, Xiaohan Zhang, Deguang Liu, Xin Li, Enhong Chen:
Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables. CoRR abs/2506.11375 (2025) - [i44]Leyan Xue, Zongbo Han, Guangyu Wang, Qinghua Hu, Mingyue Cheng, Changqing Zhang:
Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach. CoRR abs/2507.03458 (2025) - [i43]Xiaoyu Tao, Shilong Zhang, Mingyue Cheng, Daoyu Wang, Tingyue Pan, Bokai Pan, Changqing Zhang, Shijin Wang:
From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization. CoRR abs/2508.09191 (2025) - [i42]Ruisong Han, Zongbo Han, Jiahao Zhang, Mingyue Cheng, Changqing Zhang:
Retrieval-Augmented Prompt for OOD Detection. CoRR abs/2508.10556 (2025) - [i41]Qingyang Mao, Qi Cai, Yehao Li, Yingwei Pan, Mingyue Cheng, Ting Yao, Qi Liu, Tao Mei:
Visual Autoregressive Modeling for Instruction-Guided Image Editing. CoRR abs/2508.15772 (2025) - [i40]Li Li, Mingyue Cheng, Yuyang Ye, Zhiding Liu, Enhong Chen:
Preference Trajectory Modeling via Flow Matching for Sequential Recommendation. CoRR abs/2508.17618 (2025) - [i39]Jiawei Cao, Jie Ouyang, Zhaomeng Zhou, Mingyue Cheng, Yupeng Li, Jiaxian Yan, Qi Liu:
Re3: Learning to Balance Relevance & Recency for Temporal Information Retrieval. CoRR abs/2509.01306 (2025) - [i38]Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu:
TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning. CoRR abs/2509.06278 (2025) - [i37]Shuo Yu, Mingyue Cheng, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo, Xiaoyu Tao:
MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation. CoRR abs/2510.07713 (2025) - [i36]Daoyu Wang, Mingyue Cheng, Qi Liu, Shuo Yu, Zirui Liu, Ze Guo:
PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature. CoRR abs/2510.10909 (2025) - [i35]Zhiding Liu, Ben Chen, Mingyue Cheng, Enhong Chen, Li Li, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai:
Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce. CoRR abs/2510.16925 (2025) - [i34]Tingyue Pan, Mingyue Cheng, Shilong Zhang, Zhiding Liu, Xiaoyu Tao, Yucong Luo, Jintao Zhang, Qi Liu:
OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting. CoRR abs/2510.24028 (2025) - [i33]He Panjing, Mingyue Cheng, Li Li, Xiaohan Zhang:
TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching Modeling. CoRR abs/2511.07968 (2025) - [i32]Xiaohan Zhang, Tian Gao, Mingyue Cheng, Bokai Pan, Ze Guo, Yaguo Liu, Xiaoyu Tao:
AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting. CoRR abs/2511.08947 (2025) - 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) - [c27]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 - [c26]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 - [c25]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. DASFAA (3) 2024: 196-211 - [c24]Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen:
Unlocking the Potential of Large Language Models for Explainable Recommendations. DASFAA (5) 2024: 286-303 - [c23]Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao:
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. DASFAA (3) 2024: 353-362 - [c22]Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen:
Learning Recommender Systems with Soft Target: A Decoupled Perspective. DASFAA (3) 2024: 363-373 - [c21]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 - [c20]Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li:
Generative Pretrained Hierarchical Transformer for Time Series Forecasting. KDD 2024: 2003-2013 - [c19]Menghan Zhao, Fei Ji, Zhangrui Ren, Yingying Zhong, Mingyue Cheng:
Joint Design for Energy Replenishment and Data Collection in AUV-Based Underwater Wireless Sensor Networks. WCSP 2024: 1043-1048 - [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 - [i31]Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li:
Generative Pretrained Hierarchical Transformer for Time Series Forecasting. CoRR abs/2402.16516 (2024) - [i30]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) - [i29]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) - [i28]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) - [i27]Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo:
Advancing Time Series Classification with Multimodal Language Modeling. CoRR abs/2403.12371 (2024) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang:
FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling. CoRR abs/2410.13253 (2024) - [i18]Xiaoyu Tao, Tingyue Pan, Mingyue Cheng, Yucong Luo:
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification. CoRR abs/2410.18686 (2024) - [i17]Qingchuan Li, Jiatong Li, Tongxuan Liu, Yuting Zeng, Mingyue Cheng, Weizhe Huang, Qi Liu:
Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach. CoRR abs/2410.21779 (2024) - [i16]Zhiding Liu, Jiqian Yang, Qingyang Mao, Yuze Zhao, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen:
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting. CoRR abs/2410.22981 (2024) - [i15]Jiahao Wang, Mingyue Cheng, Qingyang Mao, Qi Liu, Feiyang Xu, Xin Li, Enhong Chen:
TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models. CoRR abs/2411.15737 (2024) - [i14]Qingyang Mao, Qi Liu, Zhi Li, Mingyue Cheng, Zheng Zhang, Rui Li:
PoTable: Programming Standardly on Table-based Reasoning Like a Human Analyst. CoRR abs/2412.04272 (2024) - [i13]Yucong Luo, Qitao Qin, Hao Zhang, Mingyue Cheng, Ruiran Yan, Kefan Wang, Jie Ouyang:
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation. CoRR abs/2412.18176 (2024) - [i12]Yitong Zhou, Mingyue Cheng, Qingyang Mao, Qi Liu, Feiyang Xu, Xin Li, Enhong Chen:
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner. CoRR abs/2412.20662 (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
[c42] [c40] [c39] [c38] [c37] [c30] [c29] [c28] [i55] [i54] [i53] [i52] [i51] [i50] [i48] [i47] [i45] [i41] [i37] [i36] [i34] [j12] [c26] [c25] [c23] [c22] [c17] [i30] [i29] [i28] [i26] [i23] [i22] [i21] [i20] [i16] [i15] [i14] [i12] [c16] [c13] [c12] [c11] [i11] [i10] [i9] [i7] [i6] [i5] [j4] [c10] [c9] [c8] [c7] [i4] [i2] [i1] [c5] [c4] [c3] [c2] [c1]
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-01-05 01:41 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
