| 2025 | ACL | 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 |
| 2025 | EMNLP | Hidden in Plain Sight: Reasoning in Underspecified and Misspecified Scenarios for Multimodal LLMs. | Qianqi Yan, Hongquan Li, Shan Jiang, Yang Zhao, Xinze Guan, Ching-Chen Kuo, Xin Eric Wang |
| 2024 | ACL | 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 |
| 2024 | CCS | 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 |
| 2024 | EMNLP | 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 |
| 2018 | ICASSP | Discriminative Probabilistic Framework for Generalized Multi-Instance Learning. | Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, Xinze Guan |
| 2016 | ICML | 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 |
| 2013 | IAAI | Physical Activity Recognition from Accelerometer Data Using a Multi-Scale Ensemble Method. | Yonglei Zheng, Weng-Keen Wong, Xinze Guan, Stewart Trost |