Chia-Hsiang Kao

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	All	Since 2020
Citations	146	145
h-index	4	4
i10-index	3	3

20222023202420257 14 84 40

Co-authors

Volodymyr KuleshovCornell TechVerified email at stanford.edu
Aaron GokaslanCornell UniversityVerified email at cornell.edu
Yair SchiffCornell UniversityVerified email at cs.cornell.edu
Wei-Chen Chiu (邱維辰)Professor, Department of Computer Science, National Yang Ming Chiao Tung University, TaiwanVerified email at cs.nctu.edu.tw
Albert GuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Tri DaoPrinceton University, Together AIVerified email at princeton.edu
Pin-Yu ChenPrincipal Research Scientist, IBM Research AI; MIT-IBM Watson AI Lab; RPI-IBM AIRCVerified email at ibm.com
Li-Fen ChenNational Yang-Ming UniversityVerified email at ym.edu.tw
Bernardo P. de AlmeidaAI Senior Research Scientist, InstaDeepVerified email at instadeep.com
Thomas PierrotStaff Research Scientist, InstaDeepVerified email at instadeep.com
Chun-Chih HuangNational Yang Ming Chiao Tung UniversityVerified email at nycu.edu.tw
bharath hariharanCornell UniversityVerified email at cs.cornell.edu
Ching-Ju YangNational Yang Ming Chiao Tung UniversityVerified email at nycu.edu.tw
Utkarsh MallPostdoctoral Researcher, Columbia UniversityVerified email at columbia.edu
Hangyu ZhouCornell UniversityVerified email at cornell.edu
Kavita BalaCornell UniversityVerified email at cs.cornell.edu
Cheng Perng PhooAI ResearcherVerified email at cornell.edu
Edgar Mariano MarroquinGraduate Student, Cornell UniversityVerified email at cornell.edu

Chia-Hsiang Kao

Cornell University

Verified email at cornell.edu - Homepage

deep learning computer vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Caduceus: Bi-directional equivariant long-range dna sequence modeling Y Schiff, CH Kao, A Gokaslan, T Dao, A Gu, V Kuleshov Forty-first International Conference on Machine Learning., 2024	93	2024
MAML is a Noisy Contrastive Learner in Classification CH Kao, WC Chiu, PY Chen International Conference on Learning Representations, 2021	28*	2021
Advancing dna language models: The genomics long-range benchmark CH Kao, E Trop, MK Polen, Y Schiff, BP de Almeida, A Gokaslan, T Pierrot, ... ICLR 2024 Workshop on Machine Learning for Genomics Explorations 5, 2024	11	2024
Demystifying T1-MRI to FDG -PET Image Translation via Representational Similarity CH Kao, YS Chen, LF Chen, WC Chiu International Conference on Medical Image Computing and Computer-Assisted …, 2021	7	2021
MEG-based classification and grad-CAM visualization for major depressive and bipolar disorders with semi-CNN CC Huang, I Low, CH Kao, CY Yu, TP Su, JC Hsieh, YS Chen, LF Chen 2022 44th Annual International Conference of the IEEE Engineering in …, 2022	4	2022
AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery H Zhou, CH Kao, CP Phoo, U Mall, B Hariharan, K Bala The Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024	1	2024
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning CH Kao, YCF Wang arXiv preprint arXiv:2307.10317, 2023	1	2023
Unravelling the spatio-temporal neurodynamics of rhythm encoding-reproduction networks by a novel fMRI autoencoder CH Kao, CJ Yang, LK Cheng, HY Yu, YS Chen, JC Hsieh, LF Chen 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 615-618, 2019	1	2019
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning CH Kao, B Hariharan The Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024		2024
The Genomics Long-Range Benchmark: Advancing DNA Language Models E Trop, Y Schiff, EM Marroquin, CH Kao, A Gokaslan, MK Polen, M Shao, ...		2024

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