Mingyue Cheng

122 papers A* 25A 11Journal 75Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning.
CoRR
Xiaoyu Tao, Yuchong Wu, Mingyue Cheng, Ze Guo, Tian Gao
2026 A* conf
Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?
WWW
Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yitong Zhou, Yuting Zeng, Qi Liu, Tongxuan Liu
2026 A* conf
BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation.
AAAI
Yupeng Li, Mingyue Cheng, Yucong Luo, Yitong Zhou, Qingyang Mao, Shijin Wang
2026 A conf
Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting.
WSDM
Mingyue Cheng, Jiahao Wang, Daoyu Wang, Xiaoyu Tao, Qi Liu, Enhong Chen
2026 J jnl
Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting.
CoRR
Xiaoyu Tao, Mingyue Cheng, Chuang Jiang, Tian Gao, Huanjian Zhang, Yaguo Liu
2026 J jnl
CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting.
CoRR
Yaguo Liu, Mingyue Cheng, Daoyu Wang, Xiaoyu Tao, Qi Liu
2026 A* conf
From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation.
AAAI
Qingchuan Li, Mingyue Cheng, Zirui Liu, Daoyu Wang, Yuting Zeng, Tongxuan Liu
2026 J jnl
Global Structure-aware and Feature-augmented Graph Neural Network for Heterophilic Graphs.
ACM Trans. Inf. Syst.
Huijie Liu, Shulan Ruan, Qi Liu, Mingyue Cheng, Zhenya Huang, Yu Liu, Enhong Chen, You He
2026 J jnl
InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement.
CoRR
Mingyue Cheng, Xiaoyu Tao, Huajian Zhang, Qi Liu, Enhong Chen
2026 J jnl
KuaiSearch: A Large-Scale E-Commerce Search Dataset for Recall, Ranking, and Relevance.
CoRR
Yupeng Li, Ben Chen, Mingyue Cheng, Zhiding Liu, Xuxin Zhang, Chenyi Lei, Wenwu Ou
2026 J jnl
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning.
CoRR
Xiaoyu Tao, Mingyue Cheng, Ze Guo, Shuo Yu, Yaguo Liu, Qi Liu, Shijin Wang
2026 A* conf
MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation.
WWW
Shuo Yu, Mingyue Cheng, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo, Xiaoyu Tao
2026 J jnl
Mind2Report: A Cognitive Deep Research Agent for Expert-Level Commercial Report Synthesis.
CoRR
Mingyue Cheng, Daoyu Wang, Qi Liu, Shuo Yu, Xiaoyu Tao, Yuqian Wang, Chengzhong Chu, Yu Duan, Mingkang Long, Enhong Chen
2026 A* conf
OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion.
AAAI
Xian Guo, Ben Chen, Siyuan Wang, Ying Yang, Mingyue Cheng, Chenyi Lei, Yuqing Ding, Han Li
2026 J jnl
PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization.
CoRR
Tingyue Pan, Jie Ouyang, Mingyue Cheng, Qingchuan Li, Zirui Liu, Mingfan Pan, Shuo Yu, Qi Liu
2026 J jnl
PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data Structures Across Nodes.
CoRR
Yiming Zhou, Mingyue Cheng, Hao Wang, Enhong Chen
2026 J jnl
Position: Beyond Model-Centric Prediction - Agentic Time Series Forecasting.
CoRR
Mingyue Cheng, Xiaoyu Tao, Qi Liu, Ze Guo, Enhong Chen
2026 A* conf
STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models.
WWW
Huajian Zhang, Mingyue Cheng, Yucong Luo, Xiaoyu Tao
2026 J jnl
StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser.
CoRR
Jintao Zhang, Zirui Liu, Mingyue Cheng, Xianquan Wang, Zhiding Liu, Qi Liu
2026 J jnl
TableMind++: An Uncertainty-Aware Programmatic Agent for Tool-Augmented Table Reasoning.
CoRR
Mingyue Cheng, Shuo Yu, Chuang Jiang, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu, Enhong Chen
2026 A conf
TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning.
WSDM
Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu
2026 A conf
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders.
WSDM
Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Qi Liu, Hao Zhang, Rujiao Zhang, Enhong Chen
2026 A* conf
Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce.
WWW
Zhiding Liu, Ben Chen, Mingyue Cheng, Enhong Chen, Li Li, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai
2025 J jnl
A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and Prospects.
CoRR
Hao Zhang, Mingyue Cheng, Qi Liu, Junzhe Jiang, Xianquan Wang, Rujiao Zhang, Chenyi Lei, Enhong Chen
2025 A* conf
A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension.
IJCAI
Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu
2025 J jnl
A Survey on Knowledge-Oriented Retrieval-Augmented Generation.
CoRR
Mingyue Cheng, Yucong Luo, Jie Ouyang, Qi Liu, Huijie Liu, Li Li, Shuo Yu, Bohou Zhang, Jiawei Cao, Jie Ma, Daoyu Wang, Enhong Chen
2025 J jnl
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning.
CoRR
Mingyue Cheng, Jie Ouyang, Shuo Yu, Ruiran Yan, Yucong Luo, Zirui Liu, Daoyu Wang, Qi Liu, Enhong Chen
2025 J jnl
AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting.
CoRR
Xiaohan Zhang, Tian Gao, Mingyue Cheng, Bokai Pan, Ze Guo, Yaguo Liu, Xiaoyu Tao
2025 J jnl
Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts?
CoRR
Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yuting Zeng, Qi Liu, Tongxuan Liu
2025 J jnl
BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation.
CoRR
Yupeng Li, Mingyue Cheng, Yucong Luo, Yitong Zhou, Qingyang Mao, Shijin Wang
2025 J jnl
Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables.
CoRR
Yitong Zhou, Mingyue Cheng, Qingyang Mao, Yucong Luo, Qi Liu, Yupeng Li, Xiaohan Zhang, Deguang Liu, Xin Li, Enhong Chen
2025 J jnl
Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting.
CoRR
Jiahao Wang, Mingyue Cheng, Qi Liu
2025 J jnl
Causality-Inspired Safe Residual Correction for Multivariate Time Series.
CoRR
Jianxiang Xie, Yuncheng Hua, Mingyue Cheng, Flora Salim, Hao Xue
2025 A* conf
Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting.
IJCAI
Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang
2025 — conf
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis.
WWW (Companion Volume)
Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu, Zhi Li, Shijin Wang
2025 A conf
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations.
WSDM
Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Defu Lian
2025 A* conf
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner.
IJCAI
Yitong Zhou, Mingyue Cheng, Qingyang Mao, Jiahao Wang, Feiyang Xu, Xin Li
2025 J jnl
From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation.
CoRR
Qingchuan Li, Mingyue Cheng, Zirui Liu, Daoyu Wang, Yuting Zeng, Tongxuan Liu
2025 J jnl
From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization.
CoRR
Xiaoyu Tao, Shilong Zhang, Mingyue Cheng, Daoyu Wang, Tingyue Pan, Bokai Pan, Changqing Zhang, Shijin Wang
2025 J jnl
Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach.
CoRR
Leyan Xue, Zongbo Han, Guangyu Wang, Qinghua Hu, Mingyue Cheng, Changqing Zhang
2025 — conf
HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation.
ACL (1)
Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu
2025 J jnl
HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation.
CoRR
Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu
2025 J jnl
Improving Time Series Forecasting via Instance-aware Post-hoc Revision.
CoRR
Zhiding Liu, Mingyue Cheng, Guanhao Zhao, Jiqian Yang, Qi Liu, Enhong Chen
2025 A conf
InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling.
WSDM
Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo, Enhong Chen
2025 A conf
Lasso: Large Language Model-based User Simulator for Cross-Domain Recommendation.
RecSys
Yue Chen, Susen Yang, Tong Zhang, Chao Wang, Mingyue Cheng, Chenyi Lei, Han Li
2025 J jnl
MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation.
CoRR
Shuo Yu, Mingyue Cheng, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo, Xiaoyu Tao
2025 A conf
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study.
CIKM
Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen
2025 J jnl
Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model.
CoRR
Jintao Zhang, Zirui Liu, Mingyue Cheng, Shilong Zhang, Tingyue Pan, Qi Liu, Yanhu Xie
2025 J jnl
OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting.
CoRR
Tingyue Pan, Mingyue Cheng, Shilong Zhang, Zhiding Liu, Xiaoyu Tao, Yucong Luo, Jintao Zhang, Qi Liu
2025 J jnl
PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature.
CoRR
Daoyu Wang, Mingyue Cheng, Qi Liu, Shuo Yu, Zirui Liu, Ze Guo
2025 J jnl
Preference Trajectory Modeling via Flow Matching for Sequential Recommendation.
CoRR
Li Li, Mingyue Cheng, Yuyang Ye, Zhiding Liu, Enhong Chen
2025 J jnl
Retrieval-Augmented Prompt for OOD Detection.
CoRR
Ruisong Han, Zongbo Han, Jiahao Zhang, Mingyue Cheng, Changqing Zhang
2025 J jnl
STaR: Towards Cognitive Table Reasoning via Slow-Thinking Large Language Models.
CoRR
Huajian Zhang, Mingyue Cheng, Yucong Luo, Xiaoyu Tao
2025 J jnl
TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning.
CoRR
Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu
2025 A conf
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models.
CIKM
Jiahao Wang, Mingyue Cheng, Qingyang Mao, Yitong Zhou, Daoyu Wang, Qi Liu, Feiyang Xu, Xin Li
2025 A conf
Tag-augmented Dual-target Cross-domain Recommendation.
RecSys
Mingfan Pan, Qingyang Mao, Xu An, Jianhui Ma, Gang Zhou, Mingyue Cheng, Enhong Chen
2025 — conf
TestAgent: An Adaptive and Intelligent Expert for Human Assessment.
ACL (Findings)
Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen
2025 J jnl
TestAgent: An Adaptive and Intelligent Expert for Human Assessment.
CoRR
Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen
2025 J jnl
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs.
CoRR
Yucong Luo, Yitong Zhou, Mingyue Cheng, Jiahao Wang, Daoyu Wang, Tingyue Pan, Jintao Zhang
2025 A* conf
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation.
ICML
Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu
2025 J jnl
TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching Modeling.
CoRR
He Panjing, Mingyue Cheng, Li Li, Xiaohan Zhang
2025 A* conf
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems.
IJCAI
Hao Zhang, Mingyue Cheng, Zhiding Liu, Junzhe Jiang
2025 J jnl
Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce.
CoRR
Zhiding Liu, Ben Chen, Mingyue Cheng, Enhong Chen, Li Li, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai
2025 J jnl
Towards Stable and Structured Time Series Generation with Perturbation-Aware Flow Matching.
CoRR
Jintao Zhang, Mingyue Cheng, Zirui Liu, Xianquan Wang, Yitong Zhou, Qi Liu
2025 J jnl
Visual Autoregressive Modeling for Instruction-Guided Image Editing.
CoRR
Qingyang Mao, Qi Cai, Yehao Li, Yingwei Pan, Mingyue Cheng, Ting Yao, Qi Liu, Tao Mei
2025 A* conf
am-ELO: A Stable Framework for Arena-based LLM Evaluation.
ICML
Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang
2025 J jnl
am-ELO: A Stable Framework for Arena-based LLM Evaluation.
CoRR
Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang
2024 J jnl
A Knowledge-Centric Benchmarking Framework and Empirical Study for Retrieval-Augmented Generation.
CoRR
Shuo Yu, Mingyue Cheng, Jiqian Yang, Jie Ouyang
2024 J jnl
A general tail item representation enhancement framework for sequential recommendation.
Frontiers Comput. Sci.
Mingyue Cheng, Qi Liu, Wenyu Zhang, Zhiding Liu, Hongke Zhao, Enhong Chen
2024 J jnl
Advancing Time Series Classification with Multimodal Language Modeling.
CoRR
Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo
2024 J jnl
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis.
CoRR
Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu, Zhi Li
2024 J jnl
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting.
CoRR
Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu, Enhong Chen
2024 J jnl
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting.
CoRR
Zhiding Liu, Jiqian Yang, Qingyang Mao, Yuze Zhao, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
2024 — conf
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.
DASFAA (3)
Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li
2024 J jnl
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.
CoRR
Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li
2024 J jnl
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner.
CoRR
Yitong Zhou, Mingyue Cheng, Qingyang Mao, Qi Liu, Feiyang Xu, Xin Li, Enhong Chen
2024 A conf
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.
WSDM
Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan
2024 J jnl
FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling.
CoRR
Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang
2024 A* conf
Generative Pretrained Hierarchical Transformer for Time Series Forecasting.
KDD
Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li
2024 J jnl
Generative Pretrained Hierarchical Transformer for Time Series Forecasting.
CoRR
Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li
2024 J jnl
HMF: A Hybrid Multi-Factor Framework for Dynamic Intraoperative Hypotension Prediction.
CoRR
Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu, Yanhu Xie
2024 J jnl
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification.
CoRR
Xiaoyu Tao, Tingyue Pan, Mingyue Cheng, Yucong Luo
2024 — conf
Learning Recommender Systems with Soft Target: A Decoupled Perspective.
DASFAA (3)
Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen
2024 J jnl
Learning Recommender Systems with Soft Target: A Decoupled Perspective.
CoRR
Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen
2024 J jnl
Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model.
CoRR
Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Chenyi Lei
2024 A conf
Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information.
CIKM
Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen
2024 J jnl
Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach.
CoRR
Qingchuan Li, Jiatong Li, Tongxuan Liu, Yuting Zeng, Mingyue Cheng, Weizhe Huang, Qi Liu
2024 J jnl
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation.
CoRR
Yucong Luo, Qitao Qin, Hao Zhang, Mingyue Cheng, Ruiran Yan, Kefan Wang, Jie Ouyang
2024 J jnl
PoTable: Programming Standardly on Table-based Reasoning Like a Human Analyst.
CoRR
Qingyang Mao, Qi Liu, Zhi Li, Mingyue Cheng, Zheng Zhang, Rui Li
2024 J jnl
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation.
CoRR
Li Li, Mingyue Cheng, Zhiding Liu, Hao Zhang, Qi Liu, Enhong Chen
2024 — conf
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling.
DASFAA (3)
Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao
2024 J jnl
Revisiting the Solution of Meta KDD Cup 2024: CRAG.
CoRR
Jie Ouyang, Yucong Luo, Mingyue Cheng, Daoyu Wang, Shuo Yu, Qi Liu, Enhong Chen
2024 J jnl
TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models.
CoRR
Jiahao Wang, Mingyue Cheng, Qingyang Mao, Qi Liu, Feiyang Xu, Xin Li, Enhong Chen
2024 — conf
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform.
WWW (Companion Volume)
Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen
2024 J jnl
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform.
CoRR
Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen
2024 — conf
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback.
APWeb/WAIM (2)
Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li
2024 — conf
Unlocking the Potential of Large Language Models for Explainable Recommendations.
DASFAA (5)
Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen
2023 A* conf
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective.
NeurIPS
Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen
2023 A* conf
Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract.
ICDE
Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma
2023 J jnl
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.
CoRR
Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan
2023 A* conf
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.
WWW
Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen
2023 J jnl
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.
CoRR
Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen
2023 J jnl
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling.
CoRR
Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu
2023 — conf
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification.
DASFAA (4)
Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li
2023 J jnl
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification.
CoRR
Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li
2023 J jnl
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders.
CoRR
Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Enhong Chen
2023 J jnl
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems.
CoRR
Hao Zhang, Mingyue Cheng, Qi Liu, Zhiding Liu, Enhong Chen
2023 J jnl
Unlocking the Potential of Large Language Models for Explainable Recommendations.
CoRR
Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Qi Liu, Enhong Chen
2022 J jnl
Collaborative List-and-Pairwise Filtering From Implicit Feedback.
IEEE Trans. Knowl. Data Eng.
Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma
2022 A* conf
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.
SIGIR
Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen
2022 J jnl
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.
CoRR
Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen
2022 — conf
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF.
CICAI (3)
Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen
2022 J jnl
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF.
CoRR
Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen
2022 A* conf
One Person, One Model - Learning Compound Router for Sequential Recommendation.
ICDM
Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
2022 J jnl
One Person, One Model-Learning Compound Router for Sequential Recommendation.
CoRR
Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
2022 A* conf
Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation.
WWW
Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen
2022 J jnl
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback.
CoRR
Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li
2021 A* conf
LawyerPAN: A Proficiency Assessment Network for Trial Lawyers.
KDD
Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen
2021 A* conf
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement.
SIGIR
Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen
2021 A* conf
Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training.
ICDM
Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen
2021 A* conf
NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction.
SIGIR
Linan Yue, Qi Liu, Binbin Jin, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu
2019 A* conf
Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering.
ICDM
Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen