Speech Recognition With No Speech Or With Noisy Speech Beyond English. - Gautam Krishna; Co Tran; Yan Han 001; 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 001; Co Tran; Mason Carnahan; Ahmed H. Tewfik (CoRR, 2019)

Spoken Speech Enhancement using EEG. - Gautam Krishna; Yan Han 001; Co Tran; Mason Carnahan; Ahmed H. Tewfik (CoRR, 2019)

Voice Activity Detection in presence of background noise using EEG. - Gautam Krishna; Co Tran; Yan Han 001; Mason Carnahan; Ahmed H. Tewfik (CoRR, 2019)

Improving EEG based Continuous Speech Recognition. - Gautam Krishna; Co Tran; Mason Carnahan; Yan Han 001; Ahmed H. Tewfik (CoRR, 2019)

Robust End-to-End Speaker Verification Using EEG. - Yan Han 001; Gautam Krishna; Co Tran; Mason Carnahan; Ahmed H. Tewfik (EUSIPCO, 2020)

Generating EEG features from Acoustic features. - Gautam Krishna; Co Tran; Mason Carnahan; Yan Han 001; Ahmed H. Tewfik (EUSIPCO, 2020)

Speech Synthesis Using EEG. - Gautam Krishna; Co Tran; Yan Han 001; Mason Carnahan; Ahmed H. Tewfik (ICASSP, 2020)

Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. - Yan Han 001; Chongyan Chen; Liyan Tang; Mingquan Lin; Ajay Jaiswal; Ying Ding 001; Yifan Peng 002 (CoRR, 2020)

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. - Yan Han 001; Chongyan Chen; Liyan Tang; Mingquan Lin; Ajay Jaiswal; Song Wang 026; Ahmed H. Tewfik; George Shih; Ying Ding 001; Yifan Peng 002 (AMIA, 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 001; Justin F. Rousseau; Yifan Peng 002; Ying Ding 001 (ICDM, 2021)

Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning. - Yan Han 001; Chongyan Chen; Ahmed H. Tewfik; Ying Ding 001; Yifan Peng 002 (ISBI, 2021)

Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. - Yan Han 001; Chongyan Chen; Ahmed H. Tewfik; Benjamin S. Glicksberg; Ying Ding 001; Yifan Peng 002; Zhangyang Wang (CoRR, 2021)

Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. - Yan Han 001; Chongyan Chen; Ahmed H. Tewfik; Benjamin S. Glicksberg; Ying Ding 001; Yifan Peng 002; Zhangyang Wang (WACV, 2022)

PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. - Shun Lu 001; Yu Hu 001; Peihao Wang; Yan Han 001; Jianchao Tan; Jixiang Li; Sen Yang 004; Ji Liu 002 (AAAI, 2023)

Vision HGNN: An Image is More than a Graph of Nodes. - Yan Han 001; Peihao Wang; Souvik Kundu 009; Ying Ding 001; Zhangyang Wang (ICCV, 2023)

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. - Haotao Wang; Ziyu Jiang; Yuning You; Yan Han 001; Gaowen Liu; Jayanth Srinivasa; Ramana Kompella; Zhangyang Wang (NeurIPS, 2023)

Search Behavior Prediction: A Hypergraph Perspective. - Yan Han 001; Edward W. Huang; Wenqing Zheng; Nikhil Rao 001; Zhangyang Wang; Karthik Subbian (WSDM, 2023)

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. - Haotao Wang; Ziyu Jiang; Yan Han 001; Zhangyang Wang (CoRR, 2023)

Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. - Yan Han 001; Yuning You; Wenqing Zheng; Scott Hoang; Tianxin Wei; Majdi Hassan; Tianlong Chen 001; Ying Ding 001; Yang Shen 001; Zhangyang Wang (IEEE Data Eng. Bull., 2023)

Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. - Yan Han 001; Gregory Holste; Ying Ding 001; Ahmed H. Tewfik; Yifan Peng 002; Zhangyang Wang (IEEE Trans. Medical Imaging, 2023)

Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting. - Yan Han 001; Kaiqi Chen; Shan Li; Ji Yan; Baoxu Shi; Lei Zhang 174; Fei Chen; Jaewon Yang; Yunpeng Xu; Xiaoqiang Luo; Qi He 002; Ying Ding 001; et al. (WWW (Companion Volume), 2024)

A Survey of Calibration Process for Black-Box LLMs. - Liangru Xie; Hui Liu 003; Jingying Zeng; Xianfeng Tang; Yan Han 001; Chen Luo 003; Jing Huang; Zhen Li; Suhang Wang; Qi He 002 (CoRR, 2024)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zhen Li; Suhang Wang; Yue Xing 002; et al. (ACL (Findings), 2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zheng Li 018; Suhang Wang; Yue Xing 002; et al. (CoRR, 2025)

Beyond Believability: Accurate Human Behavior Simulation with Fine-Tuned LLMs. - Yuxuan Lu 003; Jing Huang; Yan Han 001; Bennet Bei; Yaochen Xie; Dakuo Wang; Zheshen Jessie Wang; Qi He 002 (CoRR, 2025)