Baiyang Song

According to our database, Baiyang Song authored at least 9 papers between 2024 and 2026.

Collaborative distances:

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

2026

ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling.

Shaobo Ju, Baiyang Song, Tao Chen, Jiapeng Zhang, Qiong Wu, Chao Chang, HuaiXi Wang, Yiyi Zhou, Rongrong Ji

CoRR, March, 2026

Graph-empowered Text-to-SQL generation on Electronic Medical Records.

Qian Chen, Jun Peng, Baiyang Song, Yiyi Zhou, Rongrong Ji

Pattern Recognit., 2026

A domain-adaptive deep contrastive network for magnetic resonance imaging-driven bladder cancer classification.

Junjun Huang, Haixia Hu, Mengdan Sun, Weiting Wu, Keyi Xu, Juan Xu, Xufeng Sun, Dongdong Hu, Dandan Yao, Tianran He, Wei Wei, Baiyang Song, Li Fang

npj Digit. Medicine, 2026

KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs.

Baiyang Song, Jun Peng, Yuxin Zhang, Guangyao Chen, Feidiao Yang, Jianyuan Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Omni-Referring Image Segmentation.

Qiancheng Zheng, Yunhang Shen, Gen Luo, Baiyang Song, Xing Sun, Xiaoshuai Sun, Yiyi Zhou, Rongrong Ji

CoRR, December, 2025

Grounded Chain-of-Thought for Multimodal Large Language Models.

Qiong Wu, Xiangcong Yang, Yiyi Zhou, Chenxin Fang, Baiyang Song, Xiaoshuai Sun, Rongrong Ji

CoRR, March, 2025

KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry.

Weichen Dai, Yezeng Chen, Zijie Dai, Yubo Liu, Zhijie Huang, Yixuan Pan, Baiyang Song, Chengli Zhong, Xinhe Li, Zeyu Wang, Zhuoying Feng, Yi Zhou

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

2024

KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model.

Weichen Dai, Yezeng Chen, Zijie Dai, Zhijie Huang, Yubo Liu, Yixuan Pan, Baiyang Song, Chengli Zhong, Xinhe Li, Zeyu Wang, Zhuoying Feng, Yi Zhou

CoRR, 2024

Enhancing Natural Language Understanding in Large Language Models by Symbolic Representation.

Bingqian Li, Baiyang Song, Yi Zhou

Proceedings of the Workshop on Knowledge-infused Learning co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024