Publications (74)
The dual effect of group-scale environments on galaxy quenching during cluster infall: pre-processing and protection
Haoran Dou, Heng Yu, Xiaolan Hou
Context. It is well established that the cluster environment effectively quenches star formation in member galaxies. Amis. We aim to explore how the accretion path of infalling gal…
Code-Switching for Enhancing NMT with Pre-Specified Translation
Kai Song, Yue Zhang, Heng Yu +3
Leveraging user-provided translation to constrain NMT has practical significance. Existing methods can be classified into two main categories, namely the use of placeholder tags fo…
Combining Optical and X-ray Observations of Galaxy Clusters to Constrain Cosmological Parameters
Heng Yu, Zong-Hong Zhu
Galaxy clusters have their unique advantages for cosmology. Here we collect a new sample of 10 lensing galaxy clusters with X-ray observations to constrain cosmological parameters.…
Physical cool-core condensation radius in massive galaxy clusters
Lei Wang, Paolo Tozzi, Heng Yu +2
We investigate the properties of cool cores in an optimally selected sample of 37 massive and X-ray-bright galaxy clusters, with regular morphologies, observed with Chandra. We mea…
Science objectives of the Einstein Probe mission
Weimin Yuan, Lixin Dai, Hua Feng +93
The Einstein Probe (EP) is an interdisciplinary mission of time-domain and X-ray astronomy. Equipped with a wide-field lobster-eye X-ray focusing imager, EP will discover cosmic X-…
TFDet: Target-Aware Fusion for RGB-T Pedestrian Detection
Xue Zhang, Xiaohan Zhang, Jiangtao Wang +5
Pedestrian detection plays a critical role in computer vision as it contributes to ensuring traffic safety. Existing methods that rely solely on RGB images suffer from performance…
GECAM Localization of High Energy Transients and the Systematic Error
Yi Zhao, Wang-Chen Xue, Shao-Lin Xiong +63
Gravitational wave high-energy Electromagnetic Counterpart All-sky Monitor (GECAM) is a pair of microsatellites (i.e. GECAM-A and GECAM-B) dedicated to monitoring gamma-ray transie…
Non-pooling Network for medical image segmentation
Weihu Song, Heng Yu
Existing studies tend tofocus onmodel modifications and integration with higher accuracy, which improve performance but also carry huge computational costs, resulting in longer det…
SocialGen: Modeling Multi-Human Social Interaction with Language Models
Heng Yu, Juze Zhang, Changan Chen +4
Human interactions in everyday life are inherently social, involving engagements with diverse individuals across various contexts. Modeling these social interactions is fundamental…
Probing the nature of cosmic acceleration
Hongsheng Zhang, Heng Yu, Hyerim Noh +1
The cosmic acceleration is one of the most significant cosmological discoveries over the last century. The two categories of explanation are exotic component (dark energy) and modi…
DOTA-ME-CS: Daily Oriented Text Audio-Mandarin English-Code Switching Dataset
Yupei Li, Zifan Wei, Heng Yu +3
Code-switching, the alternation between two or more languages within communication, poses great challenges for Automatic Speech Recognition (ASR) systems. Existing models and datas…
X-Ray Properties of AGN in Brightest Cluster Galaxies. I.A Systematic Study of the Chandra Archive in the and Redshift Range
Lilan Yang, Paolo Tozzi, Heng Yu +5
We present a search for nuclear X-ray emission in the brightest cluster galaxies (BCGs) of a sample of groups and clusters of galaxies extracted from the Chandra archive. The exqui…
eRAKI: Fast Robust Artificial neural networks for K-space Interpolation (RAKI) with Coil Combination and Joint Reconstruction
Heng Yu, Zijing Dong, Yamin Arefeen +3
RAKI can perform database-free MRI reconstruction by training models using only auto-calibration signal (ACS) from each specific scan. As it trains a separate model for each indivi…
LPDH: A Locality-Preserving Pixel-Difference Hashing Framework for Dynamic Texture Recognition
Ruxin Ding, Jianfeng Ren, Heng Yu +2
Spatiotemporal Local Binary Pattern (STLBP) is a widely used dynamic texture descriptor, but it suffers from extremely high dimensionality. To tackle this, STLBP features are often…
Improving Multilingual Semantic Textual Similarity with Shared Sentence Encoder for Low-resource Languages
Xin Tang, Shanbo Cheng, Loc Do +5
Measuring the semantic similarity between two sentences (or Semantic Textual Similarity - STS) is fundamental in many NLP applications. Despite the remarkable results in supervised…
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation
Rongxiang Weng, Heng Yu, Shujian Huang +2
Pre-training and fine-tuning have achieved great success in the natural language process field. The standard paradigm of exploiting them includes two steps: first, pre-training a m…
CoGS: Controllable Gaussian Splatting
Heng Yu, Joel Julin, Zoltán Ã. Milacski +2
Capturing and re-animating the 3D structure of articulated objects present significant barriers. On one hand, methods requiring extensively calibrated multi-view setups are prohibi…
DyLiN: Making Light Field Networks Dynamic
Heng Yu, Joel Julin, Zoltan A. Milacski +2
Light Field Networks, the re-formulations of radiance fields to oriented rays, are magnitudes faster than their coordinate network counterparts, and provide higher fidelity with re…
Mass stratification in the globular cluster system revealing the assembly history of the nearest S0 galaxy NGC 3115
Haoran Dou, Hao Li, Hongxin Zhang +2
Galaxy formation and evolution is hierarchical. The most massive galaxies are thought to form their central regions early through violent dissipational processes, then grow inside-…
JVLA 1.5GHz continuum observation of CLASH clusters I: radio properties of the BCGs
Heng Yu, Paolo Tozzi, Reinout van Weeren +6
We present high-resolution (), 1.5 GHz continuum observations of the brightest cluster galaxies (BCGs) of 13 CLASH (Cluster Lensing And Supernova survey with Hubble) clust…
The destiny of open cluster NGC 6530: past and future
Delong Jia, Heng Yu, Zhengyi Shao +1
Studying the structures of open clusters is crucial for understanding stellar evolution and galactic dynamics. Based on Gaia DR3 data, we apply the hierarchical clustering algorith…
Patch Network for medical image Segmentation
Weihu Song, Heng Yu, Jianhua Wu
Accurate and fast segmentation of medical images is clinically essential, yet current research methods include convolutional neural networks with fast inference speed but difficult…
High-efficiency computational methodologies for electronic properties and structural characterization of Ge-Sb-Te based phase change materials
Shanzhong Xie, Kan-Hao Xue, Shaojie Yuan +5
Theoretical simulation to phase change materials such as Ge-Sb-Te has suffered from two methodology issues. On the one hand, there is a lack of efficient band gap correction method…
Estimating infall times of galaxies around clusters: how accurately can it be done with observational data?
Haoran Dou, Heng Yu
Context. The environment plays a crucial role in galaxy evolution, particularly for galaxies infalling into clusters. Accurately estimating the infall times of galaxies from observ…
Hierarchical Clustering in Astronomy
Heng Yu, Xiaolan Hou
Hierarchical clustering is a common algorithm in data analysis. It is unique among many clustering algorithms in that it draws dendrograms based on the distance of data under a cer…
Agreement-based Learning of Parallel Lexicons and Phrases from Non-Parallel Corpora
Chunyang Liu, Yang Liu, Huanbo Luan +2
We introduce an agreement-based approach to learning parallel lexicons and phrases from non-parallel corpora. The basic idea is to encourage two asymmetric latent-variable translat…
Multiscale Collaborative Deep Models for Neural Machine Translation
Xiangpeng Wei, Heng Yu, Yue Hu +3
Recent evidence reveals that Neural Machine Translation (NMT) models with deeper neural networks can be more effective but are difficult to train. In this paper, we present a Multi…
Study of Wide-Field-of-View X-ray Observations of the Virgo Cluster Using the Lobster Eye Imager for Astronomy
Wen-Cheng Feng, Shu-Mei Jia, Hai-Hui Zhao +9
The Lobster Eye Imager for Astronomy (LEIA) is the pathfinder of the wide-field X-ray telescope used in the Einstein Probe mission. In this study, we present an image of the Virgo…
The Optical Properties of Host Galaxies of Radio Sources in the Coma Cluster
Xiaolan Hou, Heng Yu, Tong Pan +4
We present a comprehensive study of host galaxies of radio sources within the 1.35 of the Coma cluster by combining deep 144MHz observations from the LOFAR Two-Metre Sky S…
The Blooming Tree Algorithm at Work: Clusters, Filaments and Superclusters in the Field of A2029
Heng Yu, Antonaldo Diaferio
The Blooming Tree (BT) algorithm, based on the hierarchical clustering method, is designed to identify clusters, groups, and substructures from galaxy redshift surveys. We apply th…
PDSE: A Multiple Lesion Detector for CT Images using PANet and Deformable Squeeze-and-Excitation Block
Di Fan, Heng Yu, Zhiyuan Xu
Detecting lesions in Computed Tomography (CT) scans is a challenging task in medical image processing due to the diverse types, sizes, and locations of lesions. Recently, various o…
Spatial Distribution of Metals in the ICM: Evolution of the Iron Excess in Relaxed Galaxy Clusters
Ang Liu, Paolo Tozzi, Heng Yu +2
We investigate the spatial distribution of iron in the intra-cluster medium in a selected sample of 41 relaxed clusters in the redshift range using {\sl Chandra}…
The Hierarchical Structure of the Open Cluster NGC 752
Delong Jia, Heng Yu, Zhengyi Shao +1
The structure of open clusters provides key insights into their evolution and the dynamics of the Milky Way. Using Gaia DR3 data, we applied a hierarchical clustering algorithm to…
Blooming Trees: Substructures and Surrounding Groups of Galaxy Clusters
Heng Yu, Antonaldo Diaferio, Ana Laura Serra +1
We develop the Blooming Tree Algorithm, a new technique that uses spectroscopic redshift data alone to identify the substructures and the surrounding groups of galaxy clusters, alo…
AR: Auto-Repair the Synthetic Data for Neural Machine Translation
Shanbo Cheng, Shaohui Kuang, Rongxiang Weng +3
Compared with only using limited authentic parallel data as training corpus, many studies have proved that incorporating synthetic parallel data, which generated by back translatio…
The unrelaxed dynamical structure of the galaxy cluster Abell 85
Heng Yu, Antonaldo Diaferio, Irene Agulli +2
For the first time, we explore the dynamics of the central region of a galaxy cluster within ~kpc from its center by combining optical and X-ray spectroscopy…
A quantitative criteria for the coincidence problem
Hongsheng Zhang, Heng Yu, Zong-Hong Zhu +1
The cosmic coincidence problem is a serious challenge to dark energy model. We suggest a quantitative criteria for judging the severity of the coincidence problem. Applying this cr…
CoNFies: Controllable Neural Face Avatars
Heng Yu, Koichiro Niinuma, Laszlo A. Jeni
Neural Radiance Fields (NeRF) are compelling techniques for modeling dynamic 3D scenes from 2D image collections. These volumetric representations would be well suited for synthesi…
End-to-end Generative Spatial-Temporal Ultrasonic Odometry and Mapping Framework
Fuhua Jia, Xiaoying Yang, Mengshen Yang +6
Performing simultaneous localization and mapping (SLAM) in low-visibility conditions, such as environments filled with smoke, dust and transparent objets, has long been a challengi…
Unsupervised Style-based Explicit 3D Face Reconstruction from Single Image
Heng Yu, Zoltan A. Milacski, Laszlo A. Jeni
Inferring 3D object structures from a single image is an ill-posed task due to depth ambiguity and occlusion. Typical resolutions in the literature include leveraging 2D or 3D grou…
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI
Yamin Arefeen, Onur Beker, Jaejin Cho +3
Purpose: To develop a scan-specific model that estimates and corrects k-space errors made when reconstructing accelerated Magnetic Resonance Imaging (MRI) data. Methods: Scan-Speci…
Instruct2Attack: Language-Guided Semantic Adversarial Attacks
Jiang Liu, Chen Wei, Yuxiang Guo +5
We propose Instruct2Attack (I2A), a language-guided semantic attack that generates semantically meaningful perturbations according to free-form language instructions. We make use o…
Environmental Dependence of Star Formation and Galaxy Colors around Abell 2029
Xiaolan Hou, Heng Yu
Environmental processes drive galaxy evolution, with the impact varying significantly across different stellar masses. We present a comprehensive environmental analysis of the gala…
4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models
Heng Yu, Chaoyang Wang, Peiye Zhuang +6
Existing dynamic scene generation methods mostly rely on distilling knowledge from pre-trained 3D generative models, which are typically fine-tuned on synthetic object datasets. As…
Measuring redshift through X-ray spectroscopy of galaxy clusters: results from Chandra data and future prospects
Heng Yu, Paolo Tozzi, Stefano Borgani +2
The ubiquitous presence of the Fe line complex in the X-ray spectra of galaxy clusters offers the possibility of measuring their redshift without resorting to spectroscopic follow-…
Inside a Beehive: the Multiple Merging Processes in the Galaxy Cluster Abell 2142
Ang Liu, Heng Yu, Antonaldo Diaferio +5
To investigate the dynamics of the galaxy cluster A2142, we compile an extended catalog of 2239 spectroscopic redshifts of sources, including newly measured 237 redshifts, within 3…
Phase transitions in typical fluorite-type ferroelectrics
Heng Yu, Kan-Hao Xue, Nan Feng +4
While ferroelectric hafnia () has become a technically important material for microelectronics, the physical origin of its ferroelectricity remains poorly understoo…
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation
Xiangpeng Wei, Heng Yu, Yue Hu +3
As a sequence-to-sequence generation task, neural machine translation (NMT) naturally contains intrinsic uncertainty, where a single sentence in one language has multiple valid cou…
MagicGeo: Training-Free Text-Guided Geometric Diagram Generation
Junxiao Wang, Ting Zhang, Heng Yu +2
Geometric diagrams are critical in conveying mathematical and scientific concepts, yet traditional diagram generation methods are often manual and resource-intensive. While text-to…
Predictive Reasoning with Augmented Anomaly Contrastive Learning for Compositional Visual Relations
Chengtai Li, Yuting He, Jianfeng Ren +4
While visual reasoning for simple analogies has received significant attention, compositional visual relations (CVR) remain relatively unexplored due to their greater complexity. T…
Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern
Ruxin Ding, Jianfeng Ren, Heng Yu +1
Spatial-temporal local binary pattern (STLBP) has been widely used in dynamic texture recognition. STLBP often encounters the high-dimension problem as its dimension increases expo…
GRET: Global Representation Enhanced Transformer
Rongxiang Weng, Haoran Wei, Shujian Huang +4
Transformer, based on the encoder-decoder framework, has achieved state-of-the-art performance on several natural language generation tasks. The encoder maps the words in the input…
SubZero: Subspace Zero-Shot MRI Reconstruction
Heng Yu, Yamin Arefeen, Berkin Bilgic
Recently introduced zero-shot self-supervised learning (ZS-SSL) has shown potential in accelerated MRI in a scan-specific scenario, which enabled high-quality reconstructions witho…
GPU-Net: Lightweight U-Net with more diverse features
Heng Yu, Di Fan, Weihu Song
Image segmentation is an important task in the medical image field and many convolutional neural networks (CNNs) based methods have been proposed, among which U-Net and its variant…
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation
Xiangpeng Wei, Heng Yu, Yue Hu +4
The principal task in supervised neural machine translation (NMT) is to learn to generate target sentences conditioned on the source inputs from a set of parallel sentence pairs, a…
ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body
Juze Zhang, Changan Chen, Xin Chen +5
Human communication is inherently multimodal and social: words, prosody, and body language jointly carry intent. Yet most prior systems model human behavior as a translation task c…
Unveiling the Hierarchical Structure of Open Star Clusters: the Perseus Double Cluster
Heng Yu, Zheng-Yi Shao, Antonaldo Diaferio +1
We introduce a new kinematic method to investigate the structure of open star clusters. We adopt a hierarchical clustering algorithm that uses the celestial coordinates and the pro…
Sequence Generation: From Both Sides to the Middle
Long Zhou, Jiajun Zhang, Chengqing Zong +1
The encoder-decoder framework has achieved promising process for many sequence generation tasks, such as neural machine translation and text summarization. Such a framework usually…
WeightedPose: Generalizable Cross-Pose Estimation via Weighted SVD
Xuxin Cheng, Heng Yu, Harry Zhang +1
We introduce a new approach for robotic manipulation tasks in human settings that necessitates understanding the 3D geometric connections between a pair of objects. Conventional en…
Catalog of One-side Head-Tail Galaxies in the FIRST Survey
Tong Pan, Heng Yu, Reinout J. van Weeren +3
One-side head-tail (OHT) galaxies are radio galaxies with a peculiar shape. They usually appear in galaxy clusters, but they have never been cataloged systematically. We design an…
Starbursting Brightest Cluster Galaxy: a Herschel view of the massive cluster MACS J1931.8-2634
J. S. Santos, I. Balestra, P. Tozzi +9
We investigate the dust-obscured star formation properties of the massive, X-ray selected galaxy cluster MACS J1931.8-2634 at =0.352. Using far-infrared (FIR) imaging in the ran…
A Localization Method of High Energy Transients for All-Sky Gamma-Ray Monitor
Yi Zhao, Wangchen Xue, Shaolin Xiong +62
Fast and reliable localization of high-energy transients is crucial for characterizing the burst properties and guiding the follow-up observations. Localization based on the relati…
AnyLift: Scaling Motion Reconstruction from Internet Videos via 2D Diffusion
Hongjie Li, Heng Yu, Jiaman Li +4
Reconstructing 3D human motion and human-object interactions (HOI) from Internet videos is a fundamental step toward building large-scale datasets of human behavior. Existing metho…
The Way to Quench: Galaxy evolution in Abell 2142
Cheng-Gong Qu, Heng Yu, Antonaldo Diaferio +2
We show how the star formation activity of galaxies is progressively inhibited from the outer region to the center of the massive cluster A2142. From an extended spectroscopic reds…
A method to search for bulk motions in the ICM with {\sl Chandra} CCD spectra: application to the Bullet cluster
Ang Liu, Heng Yu, Paolo Tozzi +1
We propose a strategy to search for bulk motions in the intracluster medium (ICM) of merging clusters based on {\sl Chandra} CCD data. Our goal is to derive robust measurements of…
The year-scale X-ray variations in the core of M87
Yu-Lin Cheng, Fei Xiang, Heng Yu +5
The analysis of light variation of M87 can help us understand the disc evolution. In the past decade, M87 has experienced several short-term light variabilities related to flares.…
Improving Neural Machine Translation with Pre-trained Representation
Rongxiang Weng, Heng Yu, Shujian Huang +2
Monolingual data has been demonstrated to be helpful in improving the translation quality of neural machine translation (NMT). The current methods stay at the usage of word-level k…
Searching for bulk motions in the ICM of massive, merging clusters with Chandra CCD data
Ang Liu, Heng Yu, Paolo Tozzi +1
We search for bulk motions in the intracluster medium (ICM) of massive clusters showing evidence of an ongoing or recent major merger with spatially resolved spectroscopy in {\sl C…
Structure evolution path of ferroelectric hafnium zirconium oxide nanocrystals under in-situ biasing
Yunzhe Zheng, Heng Yu, Tianjiao Xin +8
Fluorite-type -based ferroelectric (FE) oxides have rekindled interest in FE memories due to their compatibility with silicon processing and potential for high-dens…
Chandra and XMM-Newton observations of A2256: cold fronts, merger shocks, and constraint on the IC emission
Chong Ge, Ruo-Yu Liu, Ming Sun +13
We present the results of deep Chandra and XMM-Newton observations of a complex merging galaxy cluster Abell 2256 (A2256) that hosts a spectacular radio relic (RR). The temperature…
Identification of galaxy cluster substructures with the Caustic method
Heng Yu, Ana Laura Serra, Antonaldo Diaferio +1
We investigate the power of the caustic technique for identifying substructures of galaxy clusters from optical redshift data alone. The caustic technique is designed to estimate t…
Compress, Cross and Scale: Multi-Level Compression Cross Networks for Efficient Scaling in Recommender Systems
Heng Yu, Xiangjun Zhou, Jie Xia +4
Modeling high-order feature interactions efficiently is a central challenge in click-through rate and conversion rate prediction. Modern industrial recommender systems are predomin…
On Learning Universal Representations Across Languages
Xiangpeng Wei, Rongxiang Weng, Yue Hu +3
Recent studies have demonstrated the overwhelming advantage of cross-lingual pre-trained models (PTMs), such as multilingual BERT and XLM, on cross-lingual NLP tasks. However, exis…
On the material genome of wurtzite ferroelectrics
Zijian Zhou, Kan-Hao Xue, Jinhai Huang +5
As the dielectric film thickness shrinks to ~10 nm, some traditional wurtzite piezoelectric materials demonstrate ferroelectricity through element doping. Among them, Sc doped AlN…