Jiahao Xiao

23 papers A* 3B 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
AIBench: Towards trustworthy evaluation under the 45°law.
Displays
Zicheng Zhang, Junying Wang, Yijin Guo, Farong Wen, Zijian Chen, Hanqing Wang, Wenzhe Li, Lu Sun, Yingjie Zhou, Jianbo Zhang, Bowen Yan, Ziheng Jia, Jiahao Xiao, Yuan Tian, Xiangyang Zhu, Kaiwei Zhang, Chunyi Li, Xiaohong Liu, Xiongkuo Min, Qi Jia, Guangtao Zhai
2026 J jnl
Are Multimodal Large Language Models Good Annotators for Image Tagging?
CoRR
Ming-Kun Xie, Jiahao Xiao, Zhiqiang Kou, Zhongnian Li, Gang Niu, Masashi Sugiyama
2025 B conf
Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data.
IJCNN
Jiahao Xiao, Jiangming Liu
2025 J jnl
Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data.
CoRR
Jiahao Xiao, Jiangming Liu
2025 J jnl
Data Assessment for Embodied Intelligence.
CoRR
Jiahao Xiao, Bowen Yan, Jianbo Zhang, Jia Wang, Chunyi Li, Zhengxue Cheng, Guangtao Zhai
2025 — conf
FMD-Mllama at the Financial Misinformation Detection Challenge Task: Multimodal Reasoning and Evidence Generation.
COLING Workshops
Zheyang Luo, Guangbin Zhang, Jiahao Xiao, Xuankang Zhang, Yulin Dou, Jiangming Liu
2025 J jnl
Interactive Large Language Models for Reliable Answering under Incomplete Context.
Trans. Mach. Learn. Res.
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
2025 J jnl
Large multimodal models evaluation: a survey.
Sci. China Inf. Sci.
Zicheng Zhang, Junying Wang, Farong Wen, Yijin Guo, Xiangyu Zhao, Xinyu Fang, Shengyuan Ding, Ziheng Jia, Jiahao Xiao, Ye Shen, Yushuo Zheng, Xiaorong Zhu, Yalun Wu, Ziheng Jiao, Wei Sun, Zijian Chen, Kaiwei Zhang, Kang Fu, Yuqin Cao, Ming Hu, Yue Zhou, Xuemei Zhou, Juntai Cao, Wei Zhou, Jinyu Cao, Ronghui Li, Donghao Zhou, Yuan Tian, Xiangyang Zhu, Chunyi Li, Haoning Wu, Xiaohong Liu, Junjun He, Yu Zhou, Hui Liu, Lin Zhang, Zesheng Wang, Huiyu Duan, Yingjie Zhou, Xiongkuo Min, Qi Jia, Dongzhan Zhou, Wenlong Zhang, Jiezhang Cao, Xue Yang, Junzhi Yu, Songyang Zhang, Haodong Duan, Guangtao Zhai
2025 J jnl
Static and Plugged: Make Embodied Evaluation Simple.
CoRR
Jiahao Xiao, Jianbo Zhang, Bowen Yan, Shengyu Guo, Tongrui Ye, Kaiwei Zhang, Zicheng Zhang, Xiaohong Liu, Zhengxue Cheng, Lei Fan, Chuyi Li, Guangtao Zhai
2025 J jnl
What Makes "Good" Distractors for Object Hallucination Evaluation in Large Vision-Language Models?
CoRR
Ming-Kun Xie, Jiahao Xiao, Gang Niu, Lei Feng, Zhiqiang Kou, Min-Ling Zhang, Masashi Sugiyama
2024 — conf
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results.
ECCV Workshops (10)
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
2024 J jnl
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results.
CoRR
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
2024 J jnl
Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning.
CoRR
Heng-Bo Fan, Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang
2024 A* conf
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training.
ICML
Ming-Kun Xie, Jiahao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2024 J jnl
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training.
CoRR
Ming-Kun Xie, Jiahao Xiao, Pei Peng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2024 J jnl
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning.
CoRR
Jiahao Xiao, Ming-Kun Xie, Heng-Bo Fan, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2024 — conf
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-supervised Multi-label Learning.
ECCV (52)
Jiahao Xiao, Ming-Kun Xie, Heng-Bo Fan, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2024 J jnl
Empowering Language Models with Active Inquiry for Deeper Understanding.
CoRR
Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang, Jiahao Xiao, Nan Tang, Si-Hang Yang, Chengxing Jia, Sheng-Jun Huang, Yang Yu
2023 J jnl
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning.
CoRR
Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2023 A* conf
Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning.
NeurIPS
Ming-Kun Xie, Jiahao Xiao, Hao-Zhe Liu, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang
2022 A* conf
Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels.
NeurIPS
Ming-Kun Xie, Jiahao Xiao, Sheng-Jun Huang
2022 — conf
Research on the Construction of Accounting Big Data Analysis Platform Based on Cloud Computing.
EITCE
Jiahao Xiao
2019 J jnl
A PZT-Based Electromechanical Impedance Method for Monitoring the Soil Freeze-Thaw Process.
Sensors
Jicheng Zhang, Chuan Zhang, Jiahao Xiao, Jinwei Jiang