Xinze Guan

According to our database, Xinze Guan authored at least 11 papers between 2013 and 2025.

Collaborative distances:

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

2025

Hidden in Plain Sight: Probing Implicit Reasoning in Multimodal Language Models.

Qianqi Yan, Hongquan Li, Shan Jiang, Yang Zhao, Xinze Guan, Ching-Chen Kuo, Xin Eric Wang

CoRR, June, 2025

GRIT: Teaching MLLMs to Think with Images.

Yue Fan, Xuehai He, Diji Yang, Kaizhi Zheng, Ching-Chen Kuo, Yuting Zheng, Sravana Jyothi Narayanaraju, Xinze Guan, Xin Eric Wang

CoRR, May, 2025

Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models.

Qianqi Yan, Yue Fan, Hongquan Li, Shan Jiang, Yang Zhao, Xinze Guan, Ching-Chen Kuo, Xin Eric Wang

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

2024

Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding.

Yue Fan, Lei Ding, Ching-Chen Kuo, Shan Jiang, Yang Zhao, Xinze Guan, Jie Yang, Yi Zhang, Xin Eric Wang

CoRR, 2024

Muffin or Chihuahua? Challenging Large Vision-Language Models with Multipanel VQA.

Yue Fan, Jing Gu, Kaiwen Zhou, Qianqi Yan, Shan Jiang, Ching-Chen Kuo, Xinze Guan, Xin Eric Wang

CoRR, 2024

Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding.

Yue Fan, Lei Ding, Ching-Chen Kuo, Shan Jiang, Yang Zhao, Xinze Guan, Jie Yang, Yi Zhang, Xin Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data.

Andy Zhou, Xiaojun Xu, Ramesh Raghunathan, Alok Lal, Xinze Guan, Bin Yu, Bo Li

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA.

Yue Fan, Jing Gu, Kaiwen Zhou, Qianqi Yan, Shan Jiang, Ching-Chen Kuo, Yang Zhao, Xinze Guan, Xin Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2018

Discriminative Probabilistic Framework for Generalized Multi-Instance Learning.

Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, Xinze Guan

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016

Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model.

Xinze Guan, Raviv Raich, Weng-Keen Wong

Proceedings of the 33nd International Conference on Machine Learning, 2016

2013

Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method.

Yonglei Zheng, Weng-Keen Wong, Xinze Guan, Stewart Trost

Proceedings of the Twenty-Fifth Innovative Applications of Artificial Intelligence Conference, 2013