106 citations · 400 across the 38 of their papers we have counts for
38 papers
Non-Abelian dynamical gauge field and topological superfluids in optical Raman lattice
Xin-Chi Zhou, Tian-Hua Yang, Zhi-Yuan Wang +1
We propose an experimental scheme to realize non-Abelian dynamical gauge field for ultracold fermions, which induces a novel pairing mechanism of topological superfluidity. The dyn…
Better Zero-Shot Reasoning with Role-Play Prompting
Aobo Kong, Shiwan Zhao, Hao Chen +6
Modern large language models (LLMs) exhibit a remarkable capacity for role-playing, enabling them to embody not only human characters but also non-human entities. This versatility…
Digital Twinning of the Human Ventricular Activation Sequence to Clinical 12-lead ECGs and Magnetic Resonance Imaging Using Realistic Purkinje Networks for in Silico Clinical Trials
Julia Camps, Lucas Arantes Berg, Zhinuo Jenny Wang +12
Cardiac in silico clinical trials can virtually assess the safety and efficacy of therapies using human-based modelling and simulation. These technologies can provide mechanistic e…
GBSD: Generative Bokeh with Stage Diffusion
Jieren Deng, Xin Zhou, Hao Tian +2
The bokeh effect is an artistic technique that blurs out-of-focus areas in a photograph and has gained interest due to recent developments in text-to-image synthesis and the ubiqui…
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis
Yansong Gao, Zhihong Pan, Xin Zhou +2
Denoising diffusion probabilistic models (DDPMs) are a class of powerful generative models. The past few years have witnessed the great success of DDPMs in generating high-fidelity…
Raising The Limit Of Image Rescaling Using Auxiliary Encoding
Chenzhong Yin, Zhihong Pan, Xin Zhou +2
Normalizing flow models using invertible neural networks (INN) have been widely investigated for successful generative image super-resolution (SR) by learning the transformation be…
Breakdown of effective-medium theory by a photonic spin Hall effect
Shuaijie Yuan, Xinxing Zhou, Yu Chen +6
Effective-medium theory pertains to the theoretical modelling of homogenization, which aims to replace an inhomogeneous structure of subwavelength-scale constituents with a homogen…
Smooth and Stepwise Self-Distillation for Object Detection
Jieren Deng, Xin Zhou, Hao Tian +2
Distilling the structured information captured in feature maps has contributed to improved results for object detection tasks, but requires careful selection of baseline architectu…
MMRec: Simplifying Multimodal Recommendation
Xin Zhou
This paper presents an open-source toolbox, MMRec for multimodal recommendation. MMRec simplifies and canonicalizes the process of implementing and comparing multimodal recommendat…
E-TRoll: Tactile Sensing and Classification via A Simple Robotic Gripper for Extended Rolling Manipulations
Xin Zhou, Adam J. Spiers
Robotic tactile sensing provides a method of recognizing objects and their properties where vision fails. Prior work on tactile perception in robotic manipulation has frequently fo…
Exact new mobility edges between critical and localized states
Xin-Chi Zhou, Yongjian Wang, Ting-Fung Jeffrey Poon +2
The disorder systems host three types of fundamental quantum states, known as the extended, localized, and critical states, of which the critical states remain being much less expl…
Extreme Generative Image Compression by Learning Text Embedding from Diffusion Models
Zhihong Pan, Xin Zhou, Hao Tian
Transferring large amount of high resolution images over limited bandwidth is an important but very challenging task. Compressing images using extremely low bitrates (<0.1 bpp) has…
Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation
Zhihong Pan, Xin Zhou, Hao Tian
Diffusion-based text-to-image generation models like GLIDE and DALLE-2 have gained wide success recently for their superior performance in turning complex text inputs into images o…
Machine Learning for a Sustainable Energy Future
Zhenpeng Yao, Yanwei Lum, Andrew Johnston +6
Transitioning from fossil fuels to renewable energy sources is a critical global challenge; it demands advances at the levels of materials, devices, and systems for the efficient h…
Unified characterization for higher-order topological phase transitions
Wei Jia, Xin-Chi Zhou, Lin Zhang +2
Higher-order topological phase transitions (HOTPTs) are associated with closing either the bulk energy gap (type-I) or boundary energy gap (type-II) without changing symmetry, and…
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network
Min Zhang, Zhihong Pan, Xin Zhou +1
Normalizing flow models have been used successfully for generative image super-resolution (SR) by approximating complex distribution of natural images to simple tractable distribut…
Nonparametric Estimation of the Potential Impact Fraction and Population Attributable Fraction with Individual-Level and Aggregated Data
Colleen E. Chan, Rodrigo Zepeda-Tello, Dalia Camacho-García-Formentí +6
The estimation of the potential impact fraction (including the population attributable fraction) with continuous exposure data frequently relies on strong distributional assumption…
The coherent motions of thermal active Brownian particles
Cheng Yang, Ying Zeng, Shun Xu +1
Active matter exhibits many intriguing non-equilibrium character, \emph{e.g.}, the active Brownian particles (ABP) without any attractive and aligned interactions can occur the mob…
Towards a Systematic Survey for Carbon Neutral Data Centers
Zhiwei Cao, Xin Zhou, Han Hu +2
Data centers are carbon-intensive enterprises due to their massive energy consumption, and it is estimated that data center industry will account for 8\% of global carbon emissions…
Geometrically Constrained Trajectory Optimization for Multicopters
Zhepei Wang, Xin Zhou, Chao Xu +1
We present an optimization-based framework for multicopter trajectory planning subject to geometrical configuration constraints and user-defined dynamic constraints. The basis of t…
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions
Jun Wang, Shaoguo Wen, Kaixing Chen +5
Active learning generally involves querying the most representative samples for human labeling, which has been widely studied in many fields such as image classification and object…
swdpwr: A SAS Macro and An R Package for Power Calculation in Stepped Wedge Cluster Randomized Trials
Jiachen Chen, Xin Zhou, Fan Li +1
Background and objective: The stepped wedge cluster randomized trial is a study design increasingly used for public health intervention evaluations. Most previous literature focuse…
EGO-Swarm: A Fully Autonomous and Decentralized Quadrotor Swarm System in Cluttered Environments
Xin Zhou, Jiangchao Zhu, Hongyu Zhou +2
This paper presents a decentralized and asynchronous systematic solution for multi-robot autonomous navigation in unknown obstacle-rich scenes using merely onboard resources. The p…
Cross Copy Network for Dialogue Generation
Changzhen Ji, Xin Zhou, Yating Zhang +4
In the past few years, audiences from different fields witness the achievements of sequence-to-sequence models (e.g., LSTM+attention, Pointer Generator Networks, and Transformer) t…