A PZT-Based Electromechanical Impedance Method for Monitoring the Soil Freeze-Thaw Process. - Jicheng Zhang; Chuan Zhang 005; Jiahao Xiao; Jinwei Jiang (Sensors, 2019)

Research on the Construction of Accounting Big Data Analysis Platform Based on Cloud Computing. - Jiahao Xiao (EITCE, 2022)

Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels. - Ming-Kun Xie; Jiahao Xiao; Sheng-Jun Huang (NeurIPS, 2022)

Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning. - Ming-Kun Xie; Jiahao Xiao; Hao-Zhe Liu; Gang Niu 001; Masashi Sugiyama; Sheng-Jun Huang (NeurIPS, 2023)

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 029; Jiaying Qian; Yuqin Cao; Yinan Sun; Yuxin Zhu; et al. (ECCV Workshops (10), 2024)

Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-supervised Multi-label Learning. - Jiahao Xiao; Ming-Kun Xie; Heng-Bo Fan; Gang Niu 001; Masashi Sugiyama; Sheng-Jun Huang (ECCV (52), 2024)

Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training. - Ming-Kun Xie; Jiahao Xiao; Pei Peng 005; Gang Niu 001; Masashi Sugiyama; Sheng-Jun Huang (ICML, 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 001 (CoRR, 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)

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 (COLING Workshops, 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 016; Sheng-Jun Huang; Yang Yu 001 (Trans. Mach. Learn. Res., 2025)

What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models? - Ming-Kun Xie; Jiahao Xiao; Gang Niu 001; Lei Feng 006; Zhiqiang Kou; Min-Ling Zhang; Masashi Sugiyama (CoRR, 2025)

Static and Plugged: Make Embodied Evaluation Simple. - Jiahao Xiao; Jianbo Zhang; BoWen Yan; Shengyu Guo; Tongrui Ye; Kaiwei Zhang; Zicheng Zhang; Xiaohong Liu 001; Zhengxue Cheng; Lei Fan; Chuyi Li; Guangtao Zhai (CoRR, 2025)