Keyu Chen

According to our database, Keyu Chen authored at least 32 papers between 2024 and 2025.

Collaborative distances:

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

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

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

Exploring Efficiency Frontiers of Thinking Budget in Medical Reasoning: Scaling Laws between Computational Resources and Reasoning Quality.

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

CoRR, August, 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

From In Silico to In Vitro: A Comprehensive Guide to Validating Bioinformatics Findings.

Tianyang Wang, Silin Chen, Yunze Wang, Yichao Zhang, Xinyuan Song, Ziqian Bi, Ming Liu, Qian Niu, Junyu Liu, Pohsun Feng, Xintian Sun, Benji Peng, Charles Zhang, Keyu Chen, Ming Li, Cheng Fei, Lawrence KQ Yan

CoRR, February, 2025

From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence.

Tianyang Wang, Yunze Wang, Jun Zhou, Benji Peng, Xinyuan Song, Charles Zhang, Xintian Sun, Qian Niu, Junyu Liu, Silin Chen, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Ming Liu, Yichao Zhang, Cheng Fei, Caitlyn Heqi Yin, Lawrence KQ Yan

CoRR, January, 2025

2024

From Noise to Nuance: Advances in Deep Generative Image Models.

Benji Peng, Chia Xin Liang, Ziqian Bi, Ming Liu, Yichao Zhang, Tianyang Wang, Keyu Chen, Xinyuan Song, Pohsun Feng

CoRR, 2024

From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development.

Tianyang Wang, Ming Liu, Benji Peng, Xinyuan Song, Charles Zhang, Xintian Sun, Qian Niu, Junyu Liu, Silin Chen, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Yunze Wang, Yichao Zhang, Cheng Fei, Lawrence KQ Yan

CoRR, 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

From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing.

Xintian Sun, Benji Peng, Charles Zhang, Fei Jin, Qian Niu, Junyu Liu, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Ming Liu, Yichao Zhang

CoRR, 2024

From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models.

Charles Zhang, Benji Peng, Xintian Sun, Qian Niu, Junyu Liu, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Ming Liu, Yichao Zhang, Cheng Fei, Caitlyn Heqi Yin, Lawrence KQ Yan, Tianyang Wang

CoRR, 2024

Deep Learning and Machine Learning - Natural Language Processing: From Theory to Application.

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

CoRR, 2024

Large Language Model Benchmarks in Medical Tasks.

Lawrence KQ Yan, Ming Li, Yichao Zhang, Caitlyn Heqi Yin, Cheng Fei, Benji Peng, Ziqian Bi, Pohsun Feng, Keyu Chen, Junyu Liu, Qian Niu

CoRR, 2024

Deep Learning, Machine Learning - Digital Signal and Image Processing: From Theory to Application.

Weiche Hsieh, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Silin Chen, Ming Liu

CoRR, 2024

Deep Learning and Machine Learning - Python Data Structures and Mathematics Fundamental: From Theory to Practice.

Silin Chen, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Ming Liu

CoRR, 2024

Deep Learning and Machine Learning - Object Detection and Semantic Segmentation: From Theory to Applications.

Jintao Ren, Ziqian Bi, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Yizhu Wen, Tianyang Wang, Silin Chen, Ming Li, Jiawei Xu, Ming Liu

CoRR, 2024

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - Blockchain and Applications.

Pohsun Feng, Ziqian Bi, Lawrence KQ Yan, Yizhu Wen, Benji Peng, Junyu Liu, Caitlyn Heqi Yin, Tianyang Wang, Keyu Chen, Sen Zhang, Ming Li, Jiawei Xu, Ming Liu, Xuanhe Pan, Jinlang Wang, Qian Niu

CoRR, 2024

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models - AutoML from Basics to State-of-the-Art Techniques.

Pohsun Feng, Ziqian Bi, Yizhu Wen, Benji Peng, Junyu Liu, Caitlyn Heqi Yin, Tianyang Wang, Keyu Chen, Sen Zhang, Ming Li, Jiawei Xu, Ming Liu, Xuanhe Pan, Jinlang Wang, Qian Niu

CoRR, 2024

Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing.

Ming Li, Ziqian Bi, Tianyang Wang, Yizhu Wen, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Caitlyn Heqi Yin, Pohsun Feng, Ming Liu

CoRR, 2024

Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns.

Keyu Chen, Ziqian Bi, Tianyang Wang, Yizhu Wen, Pohsun Feng, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Ming Li, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Ming Liu

CoRR, 2024

From Text to Multimodality: Exploring the Evolution and Impact of Large Language Models in Medical Practice.

Qian Niu, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Lawrence KQ Yan, Yichao Zhang, Caitlyn Heqi Yin, Cheng Fei, Junyu Liu, Benji Peng

CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications.

Pohsun Feng, Ziqian Bi, Yizhu Wen, Xuanhe Pan, Benji Peng, Ming Liu, Jiawei Xu, Keyu Chen, Junyu Liu, Caitlyn Heqi Yin, Sen Zhang, Jinlang Wang, Qian Niu, Ming Li, Tianyang Wang

CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Object-Oriented Programming.

Ming Li, Ziqian Bi, Tianyang Wang, Keyu Chen, Jiawei Xu, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jinlang Wang, Pohsun Feng, Caitlyn Heqi Yin, Yizhu Wen, Ming Liu

CoRR, 2024

Surveying the MLLM Landscape: A Meta-Review of Current Surveys.

Ming Li, Keyu Chen, Ziqian Bi, Ming Liu, Benji Peng, Qian Niu, Junyu Liu, Jinlang Wang, Sen Zhang, Xuanhe Pan, Jiawei Xu, Pohsun Feng

CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer.

Benji Peng, Xuanhe Pan, Yizhu Wen, Ziqian Bi, Keyu Chen, Ming Li, Ming Liu, Qian Niu, Junyu Liu, Jinlang Wang, Sen Zhang, Jiawei Xu, Pohsun Feng

CoRR, 2024

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models.

Keyu Chen, Ziqian Bi, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Ming Liu, Ming Li, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Pohsun Feng

CoRR, 2024

Securing Large Language Models: Addressing Bias, Misinformation, and Prompt Attacks.

Benji Peng, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Junyu Liu, Qian Niu

CoRR, 2024

Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges.

Qian Niu, Junyu Liu, Ziqian Bi, Pohsun Feng, Benji Peng, Keyu Chen, Ming Li

CoRR, 2024