Scholar
Quang Pham
Google Scholar ID: WC7Bu_kAAAAJ
Salesforce AI Research
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Citations & Impact
All-time
Citations
1,466
H-index
12
i10-index
15
Publications
20
Co-authors
0
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Publications
7 items
Moirai 2.0: When Less Is More for Time Series Forecasting
2025
Cited
0
Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
2025
Cited
0
CompeteSMoE -- Statistically Guaranteed Mixture of Experts Training via Competition
2025
Cited
0
On DeepSeekMoE: Statistical Benefits of Shared Experts and Normalized Sigmoid Gating
2025
Cited
0
Sequence Transferability and Task Order Selection in Continual Learning
2025
Cited
0
LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models
arXiv.org · 2024
Cited
4
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs
arXiv.org · 2024
Cited
2
Resume (English only)
Academic Achievements
Learning Fast and Slow for Online Time Series Forecasting, ICLR-2023
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning, ICLR-2022
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection, MIA (IF=13.828)
DualNet: Continual Learning, Fast and Slow, NeurIPS-2021
Contextual Transformation Networks for Online Continual Learning, ICLR-2021
Online Deep Learning: Learning Deep Neural Networks on the Fly, IJCAI-2018
Research Experience
Currently a research scientist at the Machine Intelligence department, Institute for Infocomm Research (I2R), A*Star.
Education
Received his Ph.D. from the School of Computing and Information Systems, Singapore Management University, under the supervision of Prof. Steven Hoi.
Background
Research interests include continual learning, time series forecasting, meta learning, domain adaptation.
Miscellany
Regularly serves as a reviewer for prestigious conferences and journals in AI and ML; Useful links: Google Scholar, Github, Linkedin
Co-authors
0 total
Co-authors: 0 (list not available)
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