Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering. - Mingyue Cheng 004; Runlong Yu; Qi Liu 003; Vincent W. Zheng; Hongke Zhao; Hefu Zhang; Enhong Chen (ICDM, 2019)

Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. - Mingyue Cheng 004; Fajie Yuan; Qi Liu 003; Xin Xin 003; Enhong Chen (ICDM, 2021)

LawyerPAN: A Proficiency Assessment Network for Trial Lawyers. - Yanqing An; Qi Liu 003; Han Wu 002; Kai Zhang 038; Linan Yue; Mingyue Cheng 004; Hongke Zhao; Enhong Chen (KDD, 2021)

Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. - Mingyue Cheng 004; Fajie Yuan; Qi Liu 003; Shenyang Ge; Zhi Li 057; Runlong Yu; Defu Lian; Senchao Yuan; Enhong Chen (SIGIR, 2021)

NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction. - Linan Yue; Qi Liu 003; Binbin Jin; Han Wu 002; Kai Zhang 038; Yanqing An; Mingyue Cheng 004; Biao Yin; Dayong Wu (SIGIR, 2021)

Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF. - Junzhe Jiang 001; Mingyue Cheng 004; Qi Liu 003; Zhi Li 057; Enhong Chen (CICAI (3), 2022)

One Person, One Model - Learning Compound Router for Sequential Recommendation. - Zhiding Liu; Mingyue Cheng 004; Zhi Li 057; Qi Liu 003; Enhong Chen (ICDM, 2022)

Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. - Kai Zhang 038; Qi Liu 003; Zhenya Huang; Mingyue Cheng 004; Kun Zhang 015; Mengdi Zhang 002; Wei Wu 014; Enhong Chen (SIGIR, 2022)

Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation. - Mingyue Cheng 004; Zhiding Liu; Qi Liu 003; Shenyang Ge; Enhong Chen (WWW, 2022)

Collaborative List-and-Pairwise Filtering From Implicit Feedback. - Runlong Yu; Qi Liu 003; Yuyang Ye 002; Mingyue Cheng 004; Enhong Chen; Jianhui Ma 001 (IEEE Trans. Knowl. Data Eng., 2022)

ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification. - Wenqiang He; Mingyue Cheng 004; Qi Liu 003; Zhi Li 057 (DASFAA (4), 2023)

Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. - Runlong Yu; Qi Liu 003; Yuyang Ye 002; Mingyue Cheng 004; Enhong Chen; Jianhui Ma 001 (ICDE, 2023)

Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective. - Zhiding Liu; Mingyue Cheng 004; Zhi Li 057; Zhenya Huang; Qi Liu 003; Yanhu Xie; Enhong Chen (NeurIPS, 2023)

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. - Mingyue Cheng 004; Qi Liu 003; Zhiding Liu; Zhi Li 057; Yucong Luo; Enhong Chen (WWW, 2023)

TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. - Mingyue Cheng 004; Qi Liu 003; Zhiding Liu; Hao Zhang 088; Rujiao Zhang; Enhong Chen (CoRR, 2023)

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. - Junzhe Jiang 001; Shang Qu; Mingyue Cheng 004; Qi Liu 003 (CoRR, 2023)

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. - Hao Zhang 088; Mingyue Cheng 004; Qi Liu 003; Zhiding Liu; Enhong Chen (CoRR, 2023)

Unlocking the Potential of Large Language Models for Explainable Recommendations. - Yucong Luo; Mingyue Cheng 004; Hao Zhang 088; Junyu Lu 003; Qi Liu 003; Enhong Chen (CoRR, 2023)

TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. - Jie Wang 072; Fajie Yuan; Mingyue Cheng 004; Joemon M. Jose; Chenyun Yu; Beibei Kong; Zhijin Wang; Bo Hu; Zang Li (APWeb/WAIM (2), 2024)

Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. - Rujiao Zhang; Hao Zhang 088; Yucong Luo; Zhiding Liu; Mingyue Cheng 004; Qi Liu 003; Enhong Chen (CIKM, 2024)

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. - Mingyue Cheng 004; Hao Zhang 088; Qi Liu 003; Fajie Yuan; Zhi Li 057; Zhenya Huang; Enhong Chen; Jun Zhou 011; Longfei Li (DASFAA (3), 2024)

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. - Junzhe Jiang 001; Shang Qu; Mingyue Cheng 004; Qi Liu 003; Zhiding Liu; Hao Zhang 088; Rujiao Zhang; Kai Zhang 038; Rui Li 093; Jiatong Li 002; Min Gao (DASFAA (3), 2024)

Unlocking the Potential of Large Language Models for Explainable Recommendations. - Yucong Luo; Mingyue Cheng 004; Hao Zhang 088; Junyu Lu 003; Enhong Chen (DASFAA (5), 2024)

Learning Recommender Systems with Soft Target: A Decoupled Perspective. - Hao Zhang 088; Mingyue Cheng 004; Qi Liu 003; Yucong Luo; Rui Li 093; Enhong Chen (DASFAA (3), 2024)

Generative Pretrained Hierarchical Transformer for Time Series Forecasting. - Zhiding Liu; Jiqian Yang; Mingyue Cheng 004; Yucong Luo; Zhi Li 057 (KDD, 2024)

Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. - Junchen Fu; Fajie Yuan; Yu Song 007; Zheng Yuan 013; Mingyue Cheng 004; Shenghui Cheng; Jiaqi Zhang; Jie Wang 072; Yunzhu Pan (WSDM, 2024)

Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. - Mingyue Cheng 004; Hao Zhang 088; Jiqian Yang; Qi Liu 003; Li Li 110; Xin Huang; Liwei Song; Zhi Li 057; Zhenya Huang; Enhong Chen (WWW (Companion Volume), 2024)

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. - Mingyue Cheng 004; Jiqian Yang; Tingyue Pan; Qi Liu 003; Zhi Li 057 (CoRR, 2024)

Advancing Time Series Classification with Multimodal Language Modeling. - Mingyue Cheng 004; Yiheng Chen; Qi Liu 003; Zhiding Liu; Yucong Luo (CoRR, 2024)

Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model. - Mingyue Cheng 004; Xiaoyu Tao 001; Qi Liu 003; Hao Zhang 088; Yiheng Chen; Chenyi Lei (CoRR, 2024)

HMF: A Hybrid Multi-Factor Framework for Dynamic Intraoperative Hypotension Prediction. - Mingyue Cheng 004; Jintao Zhang; Zhiding Liu; Chunli Liu 001; Yanhu Xie (CoRR, 2024)

A Knowledge-Centric Benchmarking Framework and Empirical Study for Retrieval-Augmented Generation. - Shuo Yu 007; Mingyue Cheng 004; Jiqian Yang; Jie Ouyang (CoRR, 2024)

Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation. - Li Li 110; Mingyue Cheng 004; Zhiding Liu; Hao Zhang 088; Qi Liu 003; Enhong Chen (CoRR, 2024)

Revisiting the Solution of Meta KDD Cup 2024: CRAG. - Jie Ouyang; Yucong Luo; Mingyue Cheng 004; Daoyu Wang; Shuo Yu 007; Qi Liu 003; Enhong Chen (CoRR, 2024)

Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting. - Daoyu Wang; Mingyue Cheng 004; Zhiding Liu; Qi Liu 003; Enhong Chen (CoRR, 2024)

FDF: Flexible Decoupled Framework for Time Series Forecasting with Conditional Denoising and Polynomial Modeling. - Jintao Zhang; Mingyue Cheng 004; Xiaoyu Tao 001; Zhiding Liu; Daoyu Wang (CoRR, 2024)

Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification. - Xiaoyu Tao 001; Tingyue Pan; Mingyue Cheng 004; Yucong Luo (CoRR, 2024)

Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach. - Qingchuan Li; Jiatong Li 002; Tongxuan Liu; Yuting Zeng; Mingyue Cheng 004; Weizhe Huang; Qi Liu 003 (CoRR, 2024)

DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting. - Zhiding Liu; Jiqian Yang; Qingyang Mao; Yuze Zhao; Mingyue Cheng 004; Zhi Li 057; Qi Liu 003; Enhong Chen (CoRR, 2024)

TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models. - Jiahao Wang; Mingyue Cheng 004; Qingyang Mao; Qi Liu 003; Feiyang Xu; Xin Li 064; Enhong Chen (CoRR, 2024)

PoTable: Programming Standardly on Table-based Reasoning Like a Human Analyst. - Qingyang Mao; Qi Liu 003; Zhi Li 057; Mingyue Cheng 004; Zheng Zhang 048; Rui Li 093 (CoRR, 2024)

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation. - Yucong Luo; Qitao Qin; Hao Zhang 088; Mingyue Cheng 004; Ruiran Yan; Kefan Wang; Jie Ouyang (CoRR, 2024)

Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner. - Yitong Zhou; Mingyue Cheng 004; Qingyang Mao; Qi Liu 003; Feiyang Xu; Xin Li 064; Enhong Chen (CoRR, 2024)

A general tail item representation enhancement framework for sequential recommendation. - Mingyue Cheng 004; Qi Liu 003; Wenyu Zhang; Zhiding Liu; Hongke Zhao; Enhong Chen (Frontiers Comput. Sci., 2024)

HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation. - Jie Ouyang; Tingyue Pan; Mingyue Cheng 004; Ruiran Yan; Yucong Luo; Jiaying Lin; Qi Liu 003 (ACL (1), 2025)

TestAgent: An Adaptive and Intelligent Expert for Human Assessment. - Junhao Yu; Yan Zhuang 001; Yuxuan Sun; Weibo Gao; Qi Liu 003; Mingyue Cheng 004; Zhenya Huang; Enhong Chen (ACL (Findings), 2025)

Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study. - Shuo Yu 007; Mingyue Cheng 004; Qi Liu 003; Daoyu Wang; Jiqian Yang; Jie Ouyang; Yucong Luo; Chenyi Lei; Enhong Chen (CIKM, 2025)

TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models. - Jiahao Wang; Mingyue Cheng 004; Qingyang Mao; Yitong Zhou; Daoyu Wang; Qi Liu 003; Feiyang Xu; Xin Li 064 (CIKM, 2025)

am-ELO: A Stable Framework for Arena-based LLM Evaluation. - Zirui Liu 010; Jiatong Li 002; Yan Zhuang 001; Qi Liu 003; Shuanghong Shen; Jie Ouyang; Mingyue Cheng 004; Shijin Wang 001 (ICML, 2025)

TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation. - Daoyu Wang; Mingyue Cheng 004; Zhiding Liu; Qi Liu 003 (ICML, 2025)

A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension. - Mingyue Cheng 004; Jintao Zhang; Zhiding Liu; Chunli Liu 001 (IJCAI, 2025)

Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting. - Jintao Zhang; Mingyue Cheng 004; Xiaoyu Tao 001; Zhiding Liu; Daoyu Wang (IJCAI, 2025)

Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. - Hao Zhang 088; Mingyue Cheng 004; Zhiding Liu; Junzhe Jiang 001 (IJCAI, 2025)

Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner. - Yitong Zhou; Mingyue Cheng 004; Qingyang Mao; Jiahao Wang; Feiyang Xu; Xin Li 064 (IJCAI, 2025)

Lasso: Large Language Model-based User Simulator for Cross-Domain Recommendation. - Yue Chen; Susen Yang; Tong Zhang; Chao Wang 049; Mingyue Cheng 004; Chenyi Lei; Han Li 005 (RecSys, 2025)

Tag-augmented Dual-target Cross-domain Recommendation. - Mingfan Pan; Qingyang Mao; Xu An; Jianhui Ma 001; Gang Zhou; Mingyue Cheng 004; Enhong Chen (RecSys, 2025)

Cross-Domain Pre-training with Language Models for Transferable Time Series Representations. - Mingyue Cheng 004; Xiaoyu Tao 001; Qi Liu 003; Hao Zhang 088; Yiheng Chen; Defu Lian (WSDM, 2025)

InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling. - Mingyue Cheng 004; Yiheng Chen; Qi Liu 003; Zhiding Liu; Yucong Luo; Enhong Chen (WSDM, 2025)

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. - Mingyue Cheng 004; Jiqian Yang; Tingyue Pan; Qi Liu 003; Zhi Li 057; Shijin Wang 001 (WWW (Companion Volume), 2025)

A Survey on Knowledge-Oriented Retrieval-Augmented Generation. - Mingyue Cheng 004; Yucong Luo; Jie Ouyang; Qi Liu 003; Huijie Liu 001; Li Li 110; Shuo Yu 007; Bohou Zhang; Jiawei Cao; Jie Ma; Daoyu Wang; Enhong Chen (CoRR, 2025)

A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and Prospects. - Hao Zhang 088; Mingyue Cheng 004; Qi Liu 003; Junzhe Jiang 001; Xianquan Wang; Rujiao Zhang; Chenyi Lei; Enhong Chen (CoRR, 2025)

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model. - Jintao Zhang; Zirui Liu 010; Mingyue Cheng 004; Shilong Zhang; Tingyue Pan; Qi Liu 003; Yanhu Xie (CoRR, 2025)

Improving Time Series Forecasting via Instance-aware Post-hoc Revision. - Zhiding Liu; Mingyue Cheng 004; Guanhao Zhao; Jiqian Yang; Qi Liu 003; Enhong Chen (CoRR, 2025)

Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting. - Jiahao Wang; Mingyue Cheng 004; Qi Liu 003 (CoRR, 2025)

Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts? - Qingchuan Li; Jiatong Li 002; Zirui Liu 010; Mingyue Cheng 004; Yuting Zeng; Qi Liu 003; Tongxuan Liu (CoRR, 2025)

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs. - Yucong Luo; Yitong Zhou; Mingyue Cheng 004; Jiahao Wang; Daoyu Wang; Tingyue Pan; Jintao Zhang (CoRR, 2025)

Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables. - Yitong Zhou; Mingyue Cheng 004; Qingyang Mao; Yucong Luo; Qi Liu 003; Yupeng Li; Xiaohan Zhang; Deguang Liu; Xin Li 064; Enhong Chen (CoRR, 2025)

Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach. - Leyan Xue; Zongbo Han; Guangyu Wang; Qinghua Hu; Mingyue Cheng 004; Changqing Zhang 002 (CoRR, 2025)

From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization. - Xiaoyu Tao 001; Shilong Zhang; Mingyue Cheng 004; Daoyu Wang; Tingyue Pan; Bokai Pan; Changqing Zhang 002; Shijin Wang 001 (CoRR, 2025)

Retrieval-Augmented Prompt for OOD Detection. - Ruisong Han; Zongbo Han; Jiahao Zhang; Mingyue Cheng 004; Changqing Zhang 002 (CoRR, 2025)

Visual Autoregressive Modeling for Instruction-Guided Image Editing. - Qingyang Mao; Qi Cai; Yehao Li; Yingwei Pan; Mingyue Cheng 004; Ting Yao 003; Qi Liu 003; Tao Mei 001 (CoRR, 2025)

Preference Trajectory Modeling via Flow Matching for Sequential Recommendation. - Li Li 110; Mingyue Cheng 004; Yuyang Ye 002; Zhiding Liu; Enhong Chen (CoRR, 2025)

PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature. - Daoyu Wang; Mingyue Cheng 004; Qi Liu 003; Shuo Yu 007; Zirui Liu 010; Ze Guo (CoRR, 2025)

OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting. - Tingyue Pan; Mingyue Cheng 004; Shilong Zhang; Zhiding Liu; Xiaoyu Tao 001; Yucong Luo; Jintao Zhang; Qi Liu 003 (CoRR, 2025)

TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching Modeling. - He Panjing; Mingyue Cheng 004; Li Li 110; Xiaohan Zhang (CoRR, 2025)

AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting. - Xiaohan Zhang; Tian Gao; Mingyue Cheng 004; Bokai Pan; Ze Guo; Yaguo Liu; Xiaoyu Tao 001 (CoRR, 2025)

STaR: Towards Cognitive Table Reasoning via Slow-Thinking Large Language Models. - Huajian Zhang; Mingyue Cheng 004; Yucong Luo; Xiaoyu Tao 001 (CoRR, 2025)

Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning. - Mingyue Cheng 004; Jie Ouyang; Shuo Yu 007; Ruiran Yan; Yucong Luo; Zirui Liu 010; Daoyu Wang; Qi Liu 003; Enhong Chen (CoRR, 2025)

Towards Stable and Structured Time Series Generation with Perturbation-Aware Flow Matching. - Jintao Zhang; Mingyue Cheng 004; Zirui Liu 010; Xianquan Wang; Yitong Zhou; Qi Liu 003 (CoRR, 2025)

Causality-Inspired Safe Residual Correction for Multivariate Time Series. - Jianxiang Xie; Yuncheng Hua; Mingyue Cheng 004; Flora Salim; Hao Xue 001 (CoRR, 2025)

OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion. - Xian Guo; Ben Chen 004; Siyuan Wang; Ying Yang; Mingyue Cheng 004; Chenyi Lei; Yuqing Ding; Han Li 005 (AAAI, 2026)

From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation. - Qingchuan Li; Mingyue Cheng 004; Zirui Liu 010; Daoyu Wang; Yuting Zeng; Tongxuan Liu (AAAI, 2026)

BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation. - Yupeng Li; Mingyue Cheng 004; Yucong Luo; Yitong Zhou; Qingyang Mao; Shijin Wang 001 (AAAI, 2026)

Re³: Relevance & Recency Retrieval for Mitigating Temporal Hallucination. - Jiawei Cao; Jie Ouyang; Mingyue Cheng 004; Zhaomeng Zhou; Chunli Liu 001; Yupeng Li; Zirui Liu 010; Shijin Wang 001 (ACL (1), 2026)

FlowRec: Prior-Informed Flow Matching for Efficient Sequential Recommendation Generation. - Li Li 110; Mingyue Cheng 004; Yuyang Ye 002; Zhiding Liu; Enhong Chen (DASFAA (1), 2026)

TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. - Mingyue Cheng 004; Xiaoyu Tao 001; Zhiding Liu; Qi Liu 003; Hao Zhang 088; Rujiao Zhang; Enhong Chen (WSDM, 2026)

Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting. - Mingyue Cheng 004; Jiahao Wang; Daoyu Wang; Xiaoyu Tao 001; Qi Liu 003; Enhong Chen (WSDM, 2026)

TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning. - Chuang Jiang; Mingyue Cheng 004; Xiaoyu Tao 001; Qingyang Mao; Jie Ouyang; Qi Liu 003 (WSDM, 2026)

Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts? - Qingchuan Li; Jiatong Li 002; Zirui Liu 010; Mingyue Cheng 004; Yitong Zhou; Yuting Zeng; Qi Liu 003; Tongxuan Liu (WWW, 2026)

Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce. - Zhiding Liu; Ben Chen 004; Mingyue Cheng 004; Enhong Chen; Li Li 110; Chenyi Lei; Wenwu Ou; Han Li 005; Kun Gai (WWW, 2026)

MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation. - Shuo Yu 007; Mingyue Cheng 004; Daoyu Wang; Qi Liu 003; Zirui Liu 010; Ze Guo; Xiaoyu Tao 001 (WWW, 2026)

STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models. - Huajian Zhang; Mingyue Cheng 004; Yucong Luo; Xiaoyu Tao 001 (WWW, 2026)

Retrieval-augmented prompt for out-of-distribution detection. - Ruisong Han; Jiahao Zhang; Guofeng Zhang 031; Mingyue Cheng 004; Changqing Zhang 002; Zongbo Han (Pattern Recognit., 2026)

Mind2Report: A Cognitive Deep Research Agent for Expert-Level Commercial Report Synthesis. - Mingyue Cheng 004; Daoyu Wang; Qi Liu 003; Shuo Yu 007; Xiaoyu Tao 001; Yuqian Wang; Chengzhong Chu; Yu Duan; Mingkang Long; Enhong Chen (CoRR, 2026)

PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data Structures Across Nodes. - Yiming Zhou; Mingyue Cheng 004; Hao Wang 076; Enhong Chen (CoRR, 2026)

PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization. - Tingyue Pan; Jie Ouyang; Mingyue Cheng 004; Qingchuan Li; Zirui Liu 010; Mingfan Pan; Shuo Yu 007; Qi Liu 003 (CoRR, 2026)

InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement. - Mingyue Cheng 004; Xiaoyu Tao 001; Huajian Zhang; Qi Liu 003; Enhong Chen (CoRR, 2026)

Position: Beyond Model-Centric Prediction - Agentic Time Series Forecasting. - Mingyue Cheng 004; Xiaoyu Tao 001; Qi Liu 003; Ze Guo; Enhong Chen (CoRR, 2026)

MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning. - Xiaoyu Tao 001; Mingyue Cheng 004; Ze Guo; Shuo Yu 007; Yaguo Liu; Qi Liu 003; Shijin Wang 001 (CoRR, 2026)

CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting. - Yaguo Liu; Mingyue Cheng 004; Daoyu Wang; Xiaoyu Tao 001; Qi Liu 003 (CoRR, 2026)

KuaiSearch: A Large-Scale E-Commerce Search Dataset for Recall, Ranking, and Relevance. - Yupeng Li; Ben Chen 004; Mingyue Cheng 004; Zhiding Liu; Xuxin Zhang; Chenyi Lei; Wenwu Ou (CoRR, 2026)

Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting. - Xiaoyu Tao 001; Mingyue Cheng 004; Chuang Jiang; Tian Gao; Huanjian Zhang; Yaguo Liu (CoRR, 2026)

AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning. - Xiaoyu Tao 001; Yuchong Wu; Mingyue Cheng 004; Ze Guo; Tian Gao (CoRR, 2026)

Global Structure-aware and Feature-augmented Graph Neural Network for Heterophilic Graphs. - Huijie Liu 001; Shulan Ruan; Qi Liu 003; Mingyue Cheng 004; Zhenya Huang; Yu Liu 005; Enhong Chen; You He 002 (ACM Trans. Inf. Syst., 2026)

StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser. - Jintao Zhang; Zirui Liu 010; Mingyue Cheng 004; Xianquan Wang; Zhiding Liu; Qi Liu 003 (CoRR, 2026)

TableMind++: An Uncertainty-Aware Programmatic Agent for Tool-Augmented Table Reasoning. - Mingyue Cheng 004; Shuo Yu 007; Chuang Jiang; Xiaoyu Tao 001; Qingyang Mao; Jie Ouyang; Qi Liu 003; Enhong Chen (CoRR, 2026)

StepPO: Step-Aligned Policy Optimization for Agentic Reinforcement Learning. - Daoyu Wang; Qingchuan Li; Mingyue Cheng 004; Jie Ouyang; Shuo Yu 007; Qi Liu 003; Enhong Chen (CoRR, 2026)

GeoMind: An Agentic Workflow for Lithology Classification with Reasoned Tool Invocation. - Yitong Zhou; Mingyue Cheng 004; Jiahao Wang; Qingyang Mao; Qi Liu 003 (CoRR, 2026)

CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting. - Bokai Pan; Mingyue Cheng 004; Zhiding Liu; Shuo Yu 007; Xiaoyu Tao 001; Yuchong Wu; Qi Liu 003; Defu Lian; Enhong Chen (CoRR, 2026)

GeoDecider: A Coarse-to-Fine Agentic Workflow for Explainable Lithology Classification. - Jiahao Wang; Mingyue Cheng 004; Yitong Zhou; Qingyang Mao; Xiaoyu Tao 001; Qi Liu 003; Enhong Chen (CoRR, 2026)

PoTable: Toward Systematic Thinking via Plan-Then-Execute Stage Reasoning on Tables. - Qingyang Mao; Qi Liu 003; Zhi Li 057; Mingyue Cheng 004; Zheng Zhang 048; Rui Li 093 (IEEE Trans. Knowl. Data Eng., 2026)