Yan Han

According to our database, Yan Han authored at least 26 papers between 2019 and 2025.

Collaborative distances:

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

2025

Beyond Believability: Accurate Human Behavior Simulation with Fine-Tuned LLMs.

Yuxuan Lu, Jing Huang, Yan Han, Bennet Bei, Yaochen Xie, Dakuo Wang, Zheshen Jessie Wang, Qi He

CoRR, March, 2025

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.

Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zheng Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He

CoRR, February, 2025

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.

Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A Survey of Calibration Process for Black-Box LLMs.

Liangru Xie, Hui Liu, Jingying Zeng, Xianfeng Tang, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Qi He

CoRR, 2024

Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting.

Yan Han, Kaiqi Chen, Shan Li, Ji Yan, Baoxu Shi, Lei Zhang, Fei Chen, Jaewon Yang, Yunpeng Xu, Xiaoqiang Luo, Qi He, Ying Ding, Zhangyang Wang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays.

Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang

IEEE Trans. Medical Imaging, March, 2023

Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs.

Yan Han, Yuning You, Wenqing Zheng, Scott Hoang, Tianxin Wei, Majdi Hassan, Tianlong Chen, Ying Ding, Yang Shen, Zhangyang Wang

IEEE Data Eng. Bull., 2023

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling.

Haotao Wang, Ziyu Jiang, Yan Han, Zhangyang Wang

CoRR, 2023

Search Behavior Prediction: A Hypergraph Perspective.

Yan Han, Edward W. Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling.

Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Vision HGNN: An Image is More than a Graph of Nodes.

Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor.

Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.

Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.

Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang

CoRR, 2021

Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning.

Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata.

Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding

Proceedings of the IEEE International Conference on Data Mining, 2021

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays.

Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays.

Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng

CoRR, 2020

Speech Synthesis Using EEG.

Gautam Krishna, Co Tran, Yan Han, Mason Carnahan, Ahmed H. Tewfik

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Generating EEG features from Acoustic features.

Gautam Krishna, Co Tran, Mason Carnahan, Yan Han, Ahmed H. Tewfik

Proceedings of the 28th European Signal Processing Conference, 2020

Robust End-to-End Speaker Verification Using EEG.

Yan Han, Gautam Krishna, Co Tran, Mason Carnahan, Ahmed H. Tewfik

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Improving EEG based Continuous Speech Recognition.

Gautam Krishna, Co Tran, Mason Carnahan, Yan Han, Ahmed H. Tewfik

CoRR, 2019

Voice Activity Detection in presence of background noise using EEG.

Gautam Krishna, Co Tran, Yan Han, Mason Carnahan, Ahmed H. Tewfik

CoRR, 2019

Spoken Speech Enhancement using EEG.

Gautam Krishna, Yan Han, Co Tran, Mason Carnahan, Ahmed H. Tewfik

CoRR, 2019

State-of-the-art Speech Recognition using EEG and Towards Decoding of Speech Spectrum From EEG.

Gautam Krishna, Yan Han, Co Tran, Mason Carnahan, Ahmed H. Tewfik

CoRR, 2019

Speech Recognition With No Speech Or With Noisy Speech Beyond English.

Gautam Krishna, Co Tran, Yan Han, Mason Carnahan, Ahmed H. Tewfik

CoRR, 2019