Chau Pham

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Gene Expression

Damage Detection

Top Venues

Publications

Sander Schulhoff, Michael Ilie, Nishant Balepur, Konstantine Kahadze, Amanda Liu, Chenglei Si, Yinheng Li, Aayush Gupta, HyoJung Han, Sevien Schulhoff, Pranav Sandeep Dulepet, Saurav Vidyadhara, Dayeon Ki, Sweta Agrawal, Chau Pham, Gerson C. Kroiz, Feileen Li, Hudson Tao, Ashay Srivastava, Hevander Da Costa, Saloni Gupta, Megan L. Rogers, Inna Goncearenco, Giuseppe Sarli, Igor Galynker, Denis Peskoff, Marine Carpuat, Jules White, Shyamal Anadkat, Alexander Miserlis Hoyle, Philip Resnik
The Prompt Report: A Systematic Survey of Prompting Techniques. CoRR (2024)
Chau Pham, Alexander Miserlis Hoyle, Simeng Sun, Philip Resnik, Mohit Iyyer
TopicGPT: A Prompt-based Topic Modeling Framework. NAACL-HLT (2024)
Zitong Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging. CoRR (2023)
Chau Pham, Truong Vu, Khoi Nguyen
LP-OVOD: Open-Vocabulary Object Detection by Linear Probing. CoRR (2023)
Chau Pham, Piotr Teterwak, Soren Nelson, Bryan A. Plummer
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters. CoRR (2023)
Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
Let Models Speak Ciphers: Multiagent Debate through Embeddings. CoRR (2023)
Zitong Sam Chen, Chau Pham, Siqi Wang, Michael Doron, Nikita Moshkov, Bryan A. Plummer, Juan C. Caicedo
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging. NeurIPS (2023)
Siqi Wang, Chau Pham, Bryan A. Plummer
A Unified Framework for Connecting Noise Modeling to Boost Noise Detection. CoRR (2023)
Thanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai
Few-Shot Object Counting and Detection. ECCV (20) (2022)
Davin Jeong, Chau Pham, Arnav Bhakta, Sarel Cohen, Maximilian Katzmann, Tobias Friedrich, Sang (Peter) Chin
Deep Distance Sensitivity Oracles. CoRR (2022)
Chau Pham, Trung Dang, Peter Chin
A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks. CoRR (2022)
Tiberiu Sosea, Chau Pham, Alexander Tekle, Cornelia Caragea, Junyi Jessy Li
Emotion analysis and detection during COVID-19. LREC (2022)
Thanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai
Few-shot Object Counting and Detection. CoRR (2022)
Jake Gonzalez, Chau Pham, Afamefuna Umejiaku, Juanita Benjamin, Tommy Dang
SkeletonVR: Educating Human Anatomy Through An Interactive Puzzle Assembly. IAIT (2021)
Lily Davisson, Joakim Jakovleski, Nhiem Ngo, Chau Pham, Joel Sommers
Reassessing the Constancy of End-to-End Internet Latency. TMA (2021)
Alexander Tekle, Chau Pham, Cornelia Caragea, Junyi Jessy Li
When a crisis strikes: Emotion analysis and detection during COVID-19. CoRR (2021)
Chau Pham, Tommy Dang
Link Prediction for Biomedical Network. IAIT (2021)
Chau Pham, Vung Pham, Tommy Dang
Graph Adversarial Attacks and Defense: An Empirical Study on Citation Graph. IEEE BigData (2020)
Chau Pham, Vung Pham, Tommy Dang
GenExplorer: Visualizing and Comparing Gene Expression Levels via Differential Charts. ISVC (1) (2020)
Vung Pham, Chau Pham, Tommy Dang
Road Damage Detection and Classification with Detectron2 and Faster R-CNN. IEEE BigData (2020)
Vung Pham, Chau Pham, Tommy Dang
Road Damage Detection and Classification with Detectron2 and Faster R-CNN. CoRR (2020)
Chau Pham, Vung Pham, Tommy Dang
Solar Flare Prediction Using Two-tier Ensemble with Deep Learning and Gradient Boosting Machine. IEEE BigData (2019)