Muye Huang

According to our database, Muye Huang authored at least 17 papers between 2024 and 2026.

Collaborative distances:

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

2026

ChartAct: A Benchmark for Dynamic Chart Understanding.

Muye Huang, Lin Wu, Lingling Zhang, Hang Yan, Zhiyuan Wang, Yumeng Fu, Zesheng Yang, Jun Liu

CoRR, May, 2026

Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents.

Yifei Li, Weidong Guo, Lingling Zhang, Rongman Xu, Muye Huang, Hui Liu, Lijiao Xu, Yu Xu, Jun Liu

CoRR, February, 2026

OdysseyArena: Benchmarking Large Language Models For Long-Horizon, Active and Inductive Interactions.

Fangzhi Xu, Hang Yan, Qiushi Sun, Jinyang Wu, Zixian Huang, Muye Huang, Jingyang Gong, Zichen Ding, Kanzhi Cheng, Yian Wang, Xinyu Che, Zeyi Sun, Jian Zhang, Zhangyue Yin, Haoran Luo, Xuanjing Huang, Ben Kao, Jun Liu, Qika Lin

CoRR, February, 2026

SketchVL: Policy Optimization via Fine-Grained Credit Assignment for Chart Understanding and More.

Muye Huang, Lingling Zhang, Yifei Li, Yaqiang Wu, Jun Liu

CoRR, January, 2026

Memory-enriched thought-by-thought framework for complex Diagram Question Answering.

Xinyu Zhang, Lingling Zhang, Yanrui Wu, Shaowei Wang, Wenjun Wu, Muye Huang, Qianying Wang, Jun Liu

Comput. Vis. Image Underst., 2026

GoT-CQA: Graph-of-Thought guided compositional reasoning for chart question answering.

Lingling Zhang, Muye Huang, Qianying Wang, Yaxian Wang, Wenjun Wu, Ziqi He, Jun Liu

Comput. Vis. Image Underst., 2026

2025

ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding.

Muye Huang, Lingling Zhang, Jie Ma, Han Lai, Fangzhi Xu, Yifei Li, Wenjun Wu, Yaqiang Wu, Jun Liu

CoRR, May, 2025

Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration.

Wenjun Wu, Lingling Zhang, Bo Zhao, Muye Huang, QianYing Wang, Jun Liu

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

Cognitive Predictive Coding Network: Rethinking the Generalization in Raven's Progressive Matrices.

Xinyu Zhang, Lingling Zhang, Yanrui Wu, Muye Huang, Jun Liu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding.

Yifei Li, Lingling Zhang, Hang Yan, Tianzhe Zhao, Zihan Ma, Muye Huang, Jun Liu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Diagram-Driven Course Questions Generation.

Xinyu Zhang, Lingling Zhang, Yanrui Wu, Muye Huang, Wenjun Wu, Bo Li, Shaowei Wang, Basura Fernando, Jun Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning.

Muye Huang, Lingling Zhang, Han Lai, Wenjun Wu, Xinyu Zhang, Jun Liu

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

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding.

Muye Huang, Han Lai, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu

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

2024

DiagramQG: A Dataset for Generating Concept-Focused Questions from Diagrams.

Xinyu Zhang, Lingling Zhang, Yanrui Wu, Muye Huang, Wenjun Wu, Bo Li, Shaowei Wang, Jun Liu

CoRR, 2024

GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering.

Lingling Zhang, Muye Huang, Qianying Wang, Yaxian Wang, Wenjun Wu, Jun Liu

CoRR, 2024

VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning.

Muye Huang, Lingling Zhang, Lai Han, Wenjun Wu, Xinyu Zhang, Jun Liu

CoRR, 2024

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding.

Muye Huang, Lai Han, Xinyu Zhang, Wenjun Wu, Jie Ma, Lingling Zhang, Jun Liu

CoRR, 2024