Jiahao Xiao

According to our database, Jiahao Xiao authored at least 13 papers between 2019 and 2025.

Collaborative distances:

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

2025

Static and Plugged: Make Embodied Evaluation Simple.

Jiahao Xiao, Jianbo Zhang, BoWen Yan, Shengyu Guo, Tongrui Ye, Kaiwei Zhang, Zicheng Zhang, Xiaohong Liu, Zhengxue Cheng, Lei Fan, Chuyi Li, Guangtao Zhai

CoRR, August, 2025

What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models?

Ming-Kun Xie, Jiahao Xiao, Gang Niu, Lei Feng, Zhiqiang Kou, Min-Ling Zhang, Masashi Sugiyama

CoRR, August, 2025

Interactive Large Language Models for Reliable Answering under Incomplete Context.

Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jiahao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Ming-Kun Xie, Xiang Chen, Sheng-Jun Huang, Yang Yu

Trans. Mach. Learn. Res., 2025

FMD-Mllama at the Financial Misinformation Detection Challenge Task: Multimodal Reasoning and Evidence Generation.

Zheyang Luo, Guangbin Zhang, Jiahao Xiao, Xuankang Zhang, Yulin Dou, Jiangming Liu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning.

Heng-Bo Fan, Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang

CoRR, 2024

Empowering Language Models with Active Inquiry for Deeper Understanding.

Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jiahao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Sheng-Jun Huang, Yang Yu

CoRR, 2024

Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training.

Ming-Kun Xie, Jiahao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-supervised Multi-label Learning.

Jiahao Xiao, Ming-Kun Xie, Heng-Bo Fan, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang

Proceedings of the Computer Vision - ECCV 2024, 2024

AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results.

Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin, Radu Timofte, Ziheng Jia, Zicheng Zhang, Wei Sun, Jiaying Qian, Yuqin Cao, Yinan Sun, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Kanjar De, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Wenhui Meng, Xiaoheng Tan, Haiqiang Wang, Xiaozhong Xu, Shan Liu, Zhenzhong Chen, Zhengxue Cheng, Jiahao Xiao, Jun Xu, Chenlong He, Qi Zheng, Ruoxi Zhu, Min Li, Yibo Fan, Zhengzhong Tu

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning.

Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels.

Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Research on the Construction of Accounting Big Data Analysis Platform Based on Cloud Computing.

Jiahao Xiao

Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

2019

A PZT-Based Electromechanical Impedance Method for Monitoring the Soil Freeze-Thaw Process.

Jicheng Zhang, Chuan Zhang, Jiahao Xiao, Jinwei Jiang

Sensors, 2019