Junhao Song

According to our database, Junhao Song authored at least 21 papers between 2024 and 2026.

Collaborative distances:

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

2026

Exploring efficiency frontiers of thinking budget in medical reasoning: Scaling laws between computational resources and reasoning quality.

Ziqian Bi, Lu Chen, Hongying Luo, Junhao Song, Enze Ge, Junmin Huang, Tianyang Wang, Keyu Chen, Chia Xin Liang, Zihan Wei, Huafeng Liu, Chunjie Tian, Jibin Guan, Joe Yeong, Yongzhi Xu, Junfeng Hao, Peng Wang

J. Biomed. Informatics, 2026

2025

Is GPT-OSS All You Need? Benchmarking Large Language Models for Financial Intelligence and the Surprising Efficiency Paradox.

Ziqian Bi, Danyang Zhang, Junhao Song, Chiung-Yi Tseng

CoRR, December, 2025

47B Mixture-of-Experts Beats 671B Dense Models on Chinese Medical Examinations.

Chiung-Yi Tseng, Danyang Zhang, Tianyang Wang, Hongying Luo, Lu Chen, Junming Huang, Jibin Guan, Junfeng Hao, Junhao Song, Xinyuan Song, Ziqian Bi

CoRR, November, 2025

AutoSurvey2: Empowering Researchers with Next Level Automated Literature Surveys.

Siyi Wu, Chia Xin Liang, Ziqian Bi, Leyi Zhao, Tianyang Wang, Junhao Song, Yichao Zhang, Keyu Chen, Xinyuan Song

CoRR, October, 2025

Towards Alignment-Centric Paradigm: A Survey of Instruction Tuning in Large Language Models.

Xudong Han, Junjie Yang, Tianyang Wang, Ziqian Bi, Junfeng Hao, Junhao Song

CoRR, August, 2025

Is GPT-OSS Good? A Comprehensive Evaluation of OpenAI's Latest Open Source Models.

Ziqian Bi, Keyu Chen, Chiung-Yi Tseng, Danyang Zhang, Tianyang Wang, Hongying Luo, Lu Chen, Junming Huang, Jibin Guan, Junfeng Hao, Junhao Song

CoRR, August, 2025

Mixture of Experts in Large Language Models.

Danyang Zhang, Junhao Song, Ziqian Bi, Yingfang Yuan, Tianyang Wang, Joe Yeong, Junfeng Hao

CoRR, July, 2025

Multimodal Representation Learning and Fusion.

Qihang Jin, Enze Ge, Yuhang Xie, Hongying Luo, Junhao Song, Ziqian Bi, Chia Xin Liang, Jibin Guan, Joe Yeong, Junfeng Hao

CoRR, June, 2025

Achieving Trustworthy Real-Time Decision Support Systems with Low-Latency Interpretable AI Models.

Zechun Deng, Ziwei Liu, Ziqian Bi, Junhao Song, Chia Xin Liang, Joe Yeong, Junfeng Hao

CoRR, June, 2025

Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion.

Han Wang, Ruoyun He, Guoguang Lao, Ting Liu, Hejiao Luo, Changqi Qin, Hongying Luo, Junmin Huang, Zihan Wei, Lu Chen, Yongzhi Xu, Ziqian Bi, Junhao Song, Tianyang Wang, Chia Xin Liang, Xinyuan Song, Huafeng Liu, Junfeng Hao, Chunjie Tian

CoRR, June, 2025

Active Learning Methods for Efficient Data Utilization and Model Performance Enhancement.

Chiung-Yi Tseng, Junhao Song, Ziqian Bi, Tianyang Wang, Chia Xin Liang, Ming Liu

CoRR, April, 2025

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models.

Junjie Yang, Junhao Song, Xudong Han, Ziqian Bi, Tianyang Wang, Chia Xin Liang, Xinyuan Song, Yichao Zhang, Qian Niu, Benji Peng, Keyu Chen, Ming Liu

CoRR, April, 2025

Advanced Deep Learning Methods for Protein Structure Prediction and Design.

Yichao Zhang, Ningyuan Deng, Xinyuan Song, Ziqian Bi, Tianyang Wang, Zheyu Yao, Keyu Chen, Ming Li, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Ming Liu, Li Zhang, Xuanhe Pan, Jinlang Wang, Pohsun Feng, Yizhu Wen, Lawrence KQ Yan, Hong-Ming Tseng, Yan Zhong, Yunze Wang, Ziyuan Qin, Bowen Jing, Junjie Yang, Jun Zhou, Chia Xin Liang, Junhao Song

CoRR, March, 2025

Generative Adversarial Networks Bridging Art and Machine Intelligence.

Junhao Song, Yichao Zhang, Ziqian Bi, Tianyang Wang, Keyu Chen, Ming Li, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Ming Liu, Jiawei Xu, Xuanhe Pan, Jinlang Wang, Pohsun Feng, Yizhu Wen, Lawrence KQ Yan, Hong-Ming Tseng, Xinyuan Song, Jintao Ren, Silin Chen, Yunze Wang, Weiche Hsieh, Bowen Jing, Junjie Yang, Jun Zhou, Zheyu Yao, Chia Xin Liang

CoRR, February, 2025

ReChar: Revitalising Characters with Structure Preserved and User-Specified Aesthetic Enhancements.

Zhongyu Yang, Junhao Song, Zhang Luo, Zuhao Yang, Yang Xu, Jingfen Lan, Yonghan Zhang, Wei Pang, Siyang Song, Yingfang Yuan

Proceedings of the SIGGRAPH Asia 2025 Technical Communications, 2025

MERMAID: Multi-perspective Self-reflective Agents with Generative Augmentation for Emotion Recognition.

Zhongyu Yang, Junhao Song, Siyang Song, Wei Pang, Yingfang Yuan

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Deep Learning Model Security: Threats and Defenses.

Tianyang Wang, Ziqian Bi, Yichao Zhang, Ming Liu, Weiche Hsieh, Pohsun Feng, Lawrence KQ Yan, Yizhu Wen, Benji Peng, Junyu Liu, Keyu Chen, Sen Zhang, Ming Li, Chuanqi Jiang, Xinyuan Song, Junjie Yang, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Silin Chen, Yunze Wang, Chia Xin Liang, Jiawei Xu, Xuanhe Pan, Jinlang Wang, Qian Niu

CoRR, 2024

Deep Learning, Machine Learning, Advancing Big Data Analytics and Management.

Weiche Hsieh, Ziqian Bi, Keyu Chen, Benji Peng, Sen Zhang, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Yichao Zhang, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Chia Xin Liang, Jintao Ren, Qian Niu, Silin Chen, Lawrence KQ Yan, Han Xu, Hong-Ming Tseng, Xinyuan Song, Bowen Jing, Junjie Yang, Junhao Song, Junyu Liu, Ming Liu

CoRR, 2024

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs.

Weiche Hsieh, Ziqian Bi, Chuanqi Jiang, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Pohsun Feng, Yizhu Wen, Xinyuan Song, Tianyang Wang, Ming Liu, Junjie Yang, Ming Li, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Yichao Zhang, Lawrence KQ Yan, Qian Niu, Silin Chen, Yunze Wang, Chia Xin Liang

CoRR, 2024

Navigating Public Sentiment in the Circular Economy through Topic Modelling and Hyperparameter Optimisation.

Junhao Song, Yingfang Yuan, Kaiwen Chang, Bing Xu, Jin Xuan, Wei Pang

CoRR, 2024

SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm.

Junhao Song, Yingfang Yuan, Wei Pang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024