Antigen Map
The Antigen Map is the complete mapping of which T-cells bind to which antigens. If we knew nature’s map, we could read the story about what your T-cells are currently targeting or have targeted in…
Simulation of Crystallization Process of Hydrate in CCS
Carbon dioxide capture and storage (CCS) is a technology that can effectively reduce carbon emissions to the atmosphere and seabed aquifers, which is usually divided into three stages, namely capture, transportation and storage. At present,…
Robust Machine Learning
We focus on understanding the weak points of machine learning and developing robust algorithms from principles including but not limited to 1) adversarial robustness 2) exploiting the causal relations. Tianyu Pang, Huishuai Zhang, Di He,…
RL Theory
Finding the optimal policy of a given controlled problem is a fundamental task in artificial intelligence. The reinforcement problem faces the following challenges: (1) No pre-given I.I.D. data. (2) No direct supervised label as in supervised…
RL for Combinatorial Optimization
Combinatorial optimization is ubiquitous and widely used in real-world applications. However, lots of combinatorial optimization problems are hard to be solved with traditional methods due to the NP-hardness if you focus on the worst-case performance.…
Reinforcement Learning for Logistics
In this project, we try to leverage AI technology, particularly, reinforcement learning, to improve the efficiency of the two applications in industry.
Privacy-preserving Deep Learning
Large machine learning model can memorize the training data, which poses privacy risk. To preserve privacy, it requires to control the data access and measure the privacy loss. Differential privacy (DP) is widely recognized as…
Precision Medicine
Medical forecasting is a fundamental ingredient of intelligent health. We study a full life-circle forecasting task, including the prevention, diagnosis, monitoring, and treatment. Our research covers both epidemic diseases and chronic diseases. We leverage the…
AI for Finance
Financial industry has adopted statistical analysis for different tasks for a long time and have accumulated tremendous valuable data. These conditions leave a big potential of AI technologies to empower financial industry. In particular, we…
Physics-based Sustainability
Sustainability involves a few systematic and scientific challenges, including energy crisis, global warming, air pollution and other thorny issues. Most of them essentially lies in over-reliance on fossil fuels and accompanied high carbon emissions. Henceforth,…