Area of research
Computer Vision and Pattern Recognition · Statistical and Nonlinear Physics
Research interest
Research interests include Advanced Neural Network Applications, Model Reduction and Neural Networks, Tensor decomposition and applications, and Domain Adaptation and Few-Shot Learning.
Sequence-based generative AI design of versatile tryptophan synthases.
Fourier neural operators for learning dynamics in quantum spin systems
A text-guided protein design framework
Artificial intelligence for science in quantum, atomistic, and continuum systems
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights
Manifold-constrained nucleus-level denoising diffusion model for structure-based drug design.
Towards large-scale quantum optimization solvers with few qubits.
GPU-accelerated Effective Hamiltonian Calculator
A multi-grained symmetric differential equation model for learning protein-ligand binding dynamics.
Sequence-Based Generative AI-Guided Design of Versatile Tryptophan Synthases
Online Moderation in Competitive Action Games: How Intervention Affects Player Behaviors
VARS-fUSI: Variable Sampling for Fast and Efficient Functional Ultrasound Imaging using Neural Operators
Neural operators for accelerating scientific simulations and design
State-specific protein–ligand complex structure prediction with a multiscale deep generative model
Physics-Informed Neural Operator for Learning Partial Differential Equations
Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control
AI-aided geometric design of anti-infection catheters.
Human AI collaboration for unsupervised categorization of live surgical feedback
Near-term distributed quantum computation using mean-field corrections and auxiliary qubits
Human AI collaboration for unsupervised categorization of live surgical feedback.
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics
Physics-informed Neural-operator Predictive Control for Drag Reduction in Turbulent Flows
Scientific discovery in the age of artificial intelligence
FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators
Multi-modal molecule structure–text model for text-based retrieval and editing
Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT Models
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.
Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control