Qingyang Mao

According to our database, Qingyang Mao authored at least 25 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

Qingyang Mao, Qi Liu, Zhi Li, Mingyue Cheng, Zheng Zhang, Rui Li

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

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

Jiahao Wang, Mingyue Cheng, Yitong Zhou, Qingyang Mao, Xiaoyu Tao, Qi Liu, Enhong Chen

CoRR, May, 2026

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

Yitong Zhou, Mingyue Cheng, Jiahao Wang, Qingyang Mao, Qi Liu

CoRR, April, 2026

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

Mingyue Cheng, Shuo Yu, Chuang Jiang, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu, Enhong Chen

CoRR, March, 2026

A Hybrid Adaptive Sampling Strategy for Fair and Accurate Meta-learned User Modeling.

Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao, Enhong Chen

ACM Trans. Inf. Syst., January, 2026

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

Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu

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

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

Yupeng Li, Mingyue Cheng, Yucong Luo, Yitong Zhou, Qingyang Mao, Shijin Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Visual Autoregressive Modeling for Instruction-Guided Image Editing.

Qingyang Mao, Qi Cai, Yehao Li, Yingwei Pan, Mingyue Cheng, Ting Yao, Qi Liu, Tao Mei

CoRR, August, 2025

Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables.

Yitong Zhou, Mingyue Cheng, Qingyang Mao, Yucong Luo, Qi Liu, Yupeng Li, Xiaohan Zhang, Deguang Liu, Xin Li, Enhong Chen

CoRR, June, 2025

The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation.

Zheng Zhang, Ning Li, Qi Liu, Rui Li, Weibo Gao, Qingyang Mao, Zhenya Huang, Baosheng Yu, Dacheng Tao

CoRR, April, 2025

Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm.

Qingyang Mao, Zhi Li, Qi Liu, Likang Wu, Hefu Zhang, Enhong Chen

ACM Trans. Knowl. Discov. Data, January, 2025

Tag-augmented Dual-target Cross-domain Recommendation.

Mingfan Pan, Qingyang Mao, Xu An, Jianhui Ma, Gang Zhou, Mingyue Cheng, Enhong Chen

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

A Closed-Form Solution for Fast and Reliable Adaptive Testing.

Yan Zhuang, Chenye Ke, Zirui Liu, Qi Liu, Yuting Ning, Zhenya Huang, Weizhe Huang, Qingyang Mao, Shijin Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Yitong Zhou, Mingyue Cheng, Qingyang Mao, Jiahao Wang, Feiyang Xu, Xin Li

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

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

Jiahao Wang, Mingyue Cheng, Qingyang Mao, Yitong Zhou, Daoyu Wang, Qi Liu, Feiyang Xu, Xin Li

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

Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model.

Guanhao Zhao, Zhenya Huang, Cheng Cheng, Yan Zhuang, Qingyang Mao, Xin Li, Shijin Wang, Enhong Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

Yitong Zhou, Mingyue Cheng, Qingyang Mao, Qi Liu, Feiyang Xu, Xin Li, Enhong Chen

CoRR, 2024

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

Qingyang Mao, Qi Liu, Zhi Li, Mingyue Cheng, Zheng Zhang, Rui Li

CoRR, 2024

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

Jiahao Wang, Mingyue Cheng, Qingyang Mao, Qi Liu, Feiyang Xu, Xin Li, Enhong Chen

CoRR, 2024

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

Zhiding Liu, Jiqian Yang, Qingyang Mao, Yuze Zhao, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen

CoRR, 2024

Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling.

Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao

Proceedings of the ACM on Web Conference 2024, 2024

Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation.

Qingyang Mao, Qi Liu, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation.

Zheng Zhang, Wei Song, Qi Liu, Qingyang Mao, Yiyan Wang, Weibo Gao, Zhenya Huang, Shijin Wang, Enhong Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework.

Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective.

Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen

CoRR, 2023