Publications (28)
Breast Cancer Classification with Ultrasound Images Based on SLIC
Zhihao Fang, Wanyi Zhang, He Ma
Ultrasound image diagnosis of breast tumors has been widely used in recent years. However, there are some problems of it, for instance, poor quality, intense noise and uneven echo…
TRWH: A Text-Driven Random Walk Heterogeneous GNN for Semantic-Aware Sparse Recommendation
He Ma, Chen Liu
The paper introduces TRWH, a framework that combines large language model‑generated text profiles with heterogeneous graph neural networks and random‑walk augmentation to improve r…
LLMs for User Interest Exploration in Large-scale Recommendation Systems
Jianling Wang, Haokai Lu, Yifan Liu +9
Traditional recommendation systems are subject to a strong feedback loop by learning from and reinforcing past user-item interactions, which in turn limits the discovery of novel u…
Quantitatively Evaluating GANs With Divergences Proposed for Training
Daniel Jiwoong Im, He Ma, Graham Taylor +1
Generative adversarial networks (GANs) have been extremely effective in approximating complex distributions of high-dimensional, input data samples, and substantial progress has be…
Theano-MPI: a Theano-based Distributed Training Framework
He Ma, Fei Mao, Graham W. Taylor
We develop a scalable and extendable training framework that can utilize GPUs across nodes in a cluster and accelerate the training of deep learning models based on data parallelis…
PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations
Ruining He, Lukasz Heldt, Lichan Hong +20
Large Language Models (LLMs) pose a new paradigm of modeling and computation for information tasks. Recommendation systems are a critical application domain poised to benefit signi…
First-principles predictions of out-of-plane group IV and V dimers as high-symmetry high-spin defects in hexagonal boron nitride
Jooyong Bhang, He Ma, Donggyu Yim +2
Hexagonal boron nitride (h-BN) has been recently found to host a variety of quantum point defects, which are promising candidates as single-photon sources for solid-state quantum n…
Quantum simulations of materials on near-term quantum computers
He Ma, Marco Govoni, Giulia Galli
Quantum computers hold promise to enable efficient simulations of the properties of molecules and materials; however, at present they only permit ab initio calculations of a few at…
Quantum Embedding Theory for Strongly-correlated States in Materials
He Ma, Nan Sheng, Marco Govoni +1
Quantum embedding theories are promising approaches to investigate strongly-correlated electronic states of active regions of large-scale molecular or condensed systems. Notable ex…
All-electron density functional calculations for electron and nuclear spin interactions in molecules and solids
Krishnendu Ghosh, He Ma, Vikram Gavini +1
The interaction between electronic and nuclear spins in the presence of external magnetic fields can be described by a spin Hamiltonian, with parameters obtained from first princip…
A Finite-field Approach for Calculations Beyond the Random Phase Approximation
He Ma, Marco Govoni, Francois Gygi +1
We describe a finite-field approach to compute density response functions, which allows for efficient and calculations beyond the random phase approximation.…
Generative Adversarial Parallelization
Daniel Jiwoong Im, He Ma, Chris Dongjoo Kim +1
Generative Adversarial Networks have become one of the most studied frameworks for unsupervised learning due to their intuitive formulation. They have also been shown to be capable…
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
Jianling Wang, Yifan Liu, Yinghao Sun +11
Exploration, the act of broadening user experiences beyond their established preferences, is challenging in large-scale recommendation systems due to feedback loops and limited sig…
Temperature evolution of quasiparticle dispersion dynamics in semimetallic 1T-TiTe2 via high-resolution angle-resolved photoemission spectroscopy and ultrafast optical pump-probe spectroscopy
Shuang-Xing Zhu, Chen Zhang, Qi-Yi Wu +18
High-resolution angle-resolved photoemission spectroscopy and ultrafast optical pump-probe spectroscopy were used to study semimetallic 1T - TiTe2 quasiparticle dispersion and dyna…
SeFM: A Sequential Feature Point Matching Algorithm for Object 3D Reconstruction
Zhihao Fang, He Ma, Xuemin Zhu +2
3D reconstruction is a fundamental issue in many applications and the feature point matching problem is a key step while reconstructing target objects. Conventional algorithms can…
Probing the coherence of solid-state qubits at avoided crossings
Mykyta Onizhuk, Kevin C. Miao, Joseph P. Blanton +5
Optically addressable paramagnetic defects in wide-band-gap semiconductors are promising platforms for quantum communications and sensing. The presence of avoided crossings between…
Probing spin-phonon interactions in silicon carbide with Gaussian acoustics
Samuel J. Whiteley, Gary Wolfowicz, Christopher P. Anderson +11
Hybrid spin-mechanical systems provide a platform for integrating quantum registers and transducers. Efficient creation and control of such systems require a comprehensive understa…
Imaging the Meissner effect and flux trapping in a hydride superconductor at megabar pressures using a nanoscale quantum sensor
Prabudhya Bhattacharyya, Wuhao Chen, Xiaoli Huang +24
By directly altering microscopic interactions, pressure provides a powerful tuning knob for the exploration of condensed phases and geophysical phenomena. The megabar regime repres…
First-principles Studies of Strongly Correlated States in Defect Spin Qubits in Diamond
He Ma, Nan Sheng, Marco Govoni +1
Using a recently developed quantum embedding theory, we present first principles calculations of strongly correlated states of spin defects in diamond. Within this theory, effectiv…
Entanglement and control of single quantum memories in isotopically engineered silicon carbide
Alexandre Bourassa, Christopher P. Anderson, Kevin C. Miao +9
Nuclear spins in the solid state are both a cause of decoherence and a valuable resource for spin qubits. In this work, we demonstrate control of isolated 29Si nuclear spins in sil…
Noisy Sensor Scheduling in Wireless Networked Control Systems: Freshness or Precision
He Ma, Shidong Zhou
In linear wireless networked control systems whose control is based on the system state's noisy and delayed observations, an accurate functional relationship is derived between the…
Spin-spin interactions in solids from mixed all-electron and pseudopotential calculations a path to screening materials for spin qubits
Krishnendu Ghosh, He Ma, Mykyta Onizhuk +2
Understanding the quantum dynamics of spin defects and their coherence properties requires accurate modeling of spin-spin interaction in solids and molecules, for example by using…
PyCDFT: A Python package for constrained density functional theory
He Ma, Wennie Wang, Siyoung Kim +3
We present PyCDFT, a Python package to compute diabatic states using constrained density functional theory (CDFT). PyCDFT provides an object-oriented, customizable implementation o…
A finite field approach to solving the Bethe Salpeter equation
Ngoc Linh Nguyen, He Ma, Marco Govoni +2
We present a method to compute optical spectra and exciton binding energies of molecules and solids based on the solution of the Bethe-Salpeter equation (BSE) and the calculation o…
Designing defect-based qubit candidates in wide-gap binary semiconductors for solid-state quantum technologies
Hosung Seo, He Ma, Marco Govoni +1
The development of novel quantum bits is key to extend the scope of solid-state quantum information science and technology. Using first-principles calculations, we propose that lar…
Weakly supervised alignment and registration of MR-CT for cervical cancer radiotherapy
Jjahao Zhang, Yin Gu, Deyu Sun +5
Cervical cancer is one of the leading causes of death in women, and brachytherapy is currently the primary treatment method. However, it is important to precisely define the extent…
Evolving symbolic density functionals
He Ma, Arunachalam Narayanaswamy, Patrick Riley +1
Systematic development of accurate density functionals has been a decades-long challenge for scientists. Despite the emerging application of machine learning (ML) in approximating…
Transmission Scheduling for Multi-loop Wireless Networked Control Based on LQ Cost Offset
He Ma, Shidong Zhou, Xiujun Zhang +1
In this paper, transmission scheduling for multiloop wireless networked control systems sharing the wireless channel is considered. A linear quadratic cost offset has been proposed…