Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Project
Crystal Structure Design
Materials play an important role in energy storage and carbon capture. Particularly, energy storage is indispensable for efficient use of renewable energy and finding better materials for energy storage has long been hot research topics.…
Project
Causal Learning-Inference
Current AI models can learn spurious correlation during data-fitting process, which can incur the failure of generalizing to new unseen domains. To resolve this problem, we resort to causal inference, with the expectation to learning…
Project
Carbon Neutrality
As Paris Agreement entered into force, countries take further steps to limit Greenhouse Gases emissions. China pledges to peak its CO2 emissions by 2030 and achieves net-zero no later than 2060, implying rapid and dramatic…
Project
Bio Embedding
Life is ruled by biological sequences and molecules, i.e. DNA, RNA, and protein sequences, following the de facto ‘natural’ language of biology. Understanding how these biomolecular behaves and interacts with each other can help with…
Project
AutoML-NAS
AutoML, which aims to automate a machine learning system, has attracted a lot of attention in the research community and made a lot of noise in industry and media. An ML system typically learns from…
Tool
LiST (Lite Self-Training)
We present a new method LiST for efficient fine-tuning of large pre-trained language models (PLMs) in few-shot learning settings. LiST significantly improves over recent methods that adopt prompt fine-tuning using two key techniques. The first…
Tool
LITMUS Predictor
LITMUS Predictor provides support for simulating performance in ~100 languages given training observations of the desired task-model. Each training observation specifies the finetuning-datasize + test-performance in different languages. Further, the tool provides support for constructing…