Chau Pham - RankMe

20 papers A* 2A 1Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy images. CoRR Vidit Agrawal, John Peters, Tyler N. Thompson, Mohammad V. Sanian, Chau Pham, Nikita Moshkov, Arshad Kazi, Aditya Pillai, Jack Freeman, Byunguk Kang, Samouil L. Farhi, Ernest Fraenkel, Ron Stewart, Lassi Paavolainen, Bryan A. Plummer, Juan C. Caicedo
2025	J	`jnl`	ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning. CoRR Chau Pham, Juan C. Caicedo, Bryan A. Plummer
2024	J	`jnl`	Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers. CoRR Chau Pham, Bryan A. Plummer
2024	A*	`conf`	Let Models Speak Ciphers: Multiagent Debate through Embeddings. ICLR Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
2024	A	`conf`	MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters. WACV Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer
2023	J	`jnl`	A Unified Framework for Connecting Noise Modeling to Boost Noise Detection. CoRR Siqi Wang, Chau Pham, Bryan A. Plummer
2023	A*	`conf`	CHAMMI: A benchmark for channel-adaptive models in microscopy imaging. NeurIPS Zitong Sam Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo
2023	J	`jnl`	CHAMMI: A benchmark for channel-adaptive models in microscopy imaging. CoRR Zitong Sam Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo
2023	—	`conf`	Deep Distance Sensitivity Oracles. COMPLEX NETWORKS (1) Davin Jeong, Allison Gunby-Mann, Sarel Cohen, Maximilian Katzmann, Chau Pham, Arnav Bhakta, Tobias Friedrich, Peter Chin
2023	J	`jnl`	Let Models Speak Ciphers: Multiagent Debate through Embeddings. CoRR Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
2023	J	`jnl`	MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters. CoRR Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer
2022	J	`jnl`	A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks. CoRR Chau Pham, Trung Dang, Peter Chin
2022	J	`jnl`	Deep Distance Sensitivity Oracles. CoRR Davin Jeong, Chau Pham, Arnav Bhakta, Sarel Cohen, Maximilian Katzmann, Tobias Friedrich, Sang (Peter) Chin
2021	—	`conf`	Link Prediction for Biomedical Network. IAIT Chau Pham, Tommy Dang
2021	—	`conf`	SkeletonVR: Educating Human Anatomy Through An Interactive Puzzle Assembly. IAIT Jake Gonzalez, Chau Pham, Afamefuna Umejiaku, Juanita Benjamin, Tommy Dang
2020	—	`conf`	GenExplorer: Visualizing and Comparing Gene Expression Levels via Differential Charts. ISVC (1) Chau Pham, Vung Pham, Tommy Dang
2020	—	`conf`	Graph Adversarial Attacks and Defense: An Empirical Study on Citation Graph. IEEE BigData Chau Pham, Vung Pham, Tommy Dang
2020	—	`conf`	Road Damage Detection and Classification with Detectron2 and Faster R-CNN. IEEE BigData Vung Pham, Chau Pham, Tommy Dang
2020	J	`jnl`	Road Damage Detection and Classification with Detectron2 and Faster R-CNN. CoRR Vung Pham, Chau Pham, Tommy Dang
2019	—	`conf`	Solar Flare Prediction Using Two-tier Ensemble with Deep Learning and Gradient Boosting Machine. IEEE BigData Chau Pham, Vung Pham, Tommy Dang