Mingyue Cheng

Orcid: 0000-0001-9873-7681

Affiliations:

University of Science and Technolgy of China, State Key Laboratory of Cognitive Intelligence, Hefei, China
University of Science and Technology of China, School of Data Science, Anhui Province Key Laboratory of Big Data Analysis and Application (BDAA), Hefei, China

According to our database¹, Mingyue Cheng authored at least 111 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

PoTable: Toward Systematic Thinking via Plan-Then-Execute Stage Reasoning on Tables.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2026

GeoDecider: A Coarse-to-Fine Agentic Workflow for Explainable Lithology Classification.

[BibT_eX]

[DOI]

CoRR, May, 2026

CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, April, 2026

GeoMind: An Agentic Workflow for Lithology Classification with Reasoned Tool Invocation.

[BibT_eX]

[DOI]

CoRR, April, 2026

StepPO: Step-Aligned Policy Optimization for Agentic Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, April, 2026

TableMind++: An Uncertainty-Aware Programmatic Agent for Tool-Augmented Table Reasoning.

[BibT_eX]

[DOI]

CoRR, March, 2026

StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser.

[BibT_eX]

[DOI]

CoRR, March, 2026

Global Structure-aware and Feature-augmented Graph Neural Network for Heterophilic Graphs.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., February, 2026

AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning.

[BibT_eX]

[DOI]

CoRR, February, 2026

Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2026

KuaiSearch: A Large-Scale E-Commerce Search Dataset for Recall, Ranking, and Relevance.

[BibT_eX]

[DOI]

CoRR, February, 2026

CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2026

MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning.

[BibT_eX]

[DOI]

CoRR, February, 2026

Position: Beyond Model-Centric Prediction - Agentic Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, February, 2026

InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement.

[BibT_eX]

[DOI]

CoRR, January, 2026

PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization.

[BibT_eX]

[DOI]

CoRR, January, 2026

PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data Structures Across Nodes.

[BibT_eX]

[DOI]

CoRR, January, 2026

Mind2Report: A Cognitive Deep Research Agent for Expert-Level Commercial Report Synthesis.

[BibT_eX]

[DOI]

CoRR, January, 2026

Retrieval-augmented prompt for out-of-distribution detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

FlowRec: Prior-Informed Flow Matching for Efficient Sequential Recommendation Generation.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2026

Re³: Relevance & Recency Retrieval for Mitigating Temporal Hallucination.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Causality-Inspired Safe Residual Correction for Multivariate Time Series.

[BibT_eX]

[DOI]

CoRR, December, 2025

Towards Stable and Structured Time Series Generation with Perturbation-Aware Flow Matching.

[BibT_eX]

[DOI]

CoRR, November, 2025

Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, November, 2025

STaR: Towards Cognitive Table Reasoning via Slow-Thinking Large Language Models.

[BibT_eX]

[DOI]

CoRR, November, 2025

AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, November, 2025

TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching Modeling.

[BibT_eX]

[DOI]

CoRR, November, 2025

OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, October, 2025

PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature.

[BibT_eX]

[DOI]

CoRR, October, 2025

Preference Trajectory Modeling via Flow Matching for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, August, 2025

Visual Autoregressive Modeling for Instruction-Guided Image Editing.

[BibT_eX]

[DOI]

CoRR, August, 2025

Retrieval-Augmented Prompt for OOD Detection.

[BibT_eX]

[DOI]

CoRR, August, 2025

From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization.

[BibT_eX]

[DOI]

CoRR, August, 2025

Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach.

[BibT_eX]

[DOI]

CoRR, July, 2025

Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables.

[BibT_eX]

[DOI]

CoRR, June, 2025

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs.

[BibT_eX]

[DOI]

CoRR, June, 2025

Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts?

[BibT_eX]

[DOI]

CoRR, June, 2025

Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting.

[BibT_eX]

[DOI]

Jiahao Wang

Mingyue Cheng

Qi Liu

CoRR, May, 2025

Improving Time Series Forecasting via Instance-aware Post-hoc Revision.

[BibT_eX]

[DOI]

CoRR, May, 2025

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model.

[BibT_eX]

[DOI]

CoRR, May, 2025

A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and Prospects.

[BibT_eX]

[DOI]

CoRR, March, 2025

A Survey on Knowledge-Oriented Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

CoRR, March, 2025

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Cross-Domain Pre-training with Language Models for Transferable Time Series Representations.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Tag-augmented Dual-target Cross-domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Lasso: Large Language Model-based User Simulator for Cross-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

am-ELO: A Stable Framework for Arena-based LLM Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

TestAgent: An Adaptive and Intelligent Expert for Human Assessment.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

A general tail item representation enhancement framework for sequential recommendation.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., December, 2024

Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner.

[BibT_eX]

[DOI]

CoRR, 2024

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

PoTable: Programming Standardly on Table-based Reasoning Like a Human Analyst.

[BibT_eX]

[DOI]

CoRR, 2024

TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification.

[BibT_eX]

[DOI]

CoRR, 2024

FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting the Solution of Meta KDD Cup 2024: CRAG.

[BibT_eX]

[DOI]

CoRR, 2024

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

A Knowledge-Centric Benchmarking Framework and Empirical Study for Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

CoRR, 2024

HMF: A Hybrid Multi-Factor Framework for Dynamic Intraoperative Hypotension Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model.

[BibT_eX]

[DOI]

CoRR, 2024

Advancing Time Series Classification with Multimodal Language Modeling.

[BibT_eX]

[DOI]

CoRR, 2024

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Generative Pretrained Hierarchical Transformer for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning Recommender Systems with Soft Target: A Decoupled Perspective.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

Unlocking the Potential of Large Language Models for Explainable Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Unlocking the Potential of Large Language Models for Explainable Recommendations.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2023

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Collaborative List-and-Pairwise Filtering From Implicit Feedback.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

One Person, One Model - Learning Compound Router for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF.

[BibT_eX]

[DOI]