Publications (267)
Beyond Random Masking: A Dual-Stream Approach for Rotation-Invariant Point Cloud Masked Autoencoders
Xuanhua Yin, Dingxin Zhang, Yu Feng +3
Existing rotation-invariant point cloud masked autoencoders (MAE) rely on random masking strategies that overlook geometric structure and semantic coherence. Random masking treats…
DexLink Hand: A Compact, Affordable, 16-DOF Linkage-Driven Hand with Human-Like Dexterity
Hao Wu, Yanzhe Wang, Yu Feng +4
Dexterous robotic hands face a longstanding trade-off among dexterity, compactness, and affordability. Particularly, high-degree-of-freedom designs typically demand complex actuati…
Scaling relations between black holes and their host galaxies: comparing theoretical and observational measurements, and the impact of selection effects
Colin DeGraf, Tiziana Di Matteo, Tommaso Treu +3
We use the high-resolution simulation MassiveBlackII to examine scaling relations between black hole mass (MBH) and host galaxy properties (sigma, M*, and LV), finding good agreeme…
Connection Probabilities of Multiple FK-Ising Interfaces
Yu Feng, Eveliina Peltola, Hao Wu
We find the scaling limits of a general class of boundary-to-boundary connection probabilities and multiple interfaces in the critical planar FK-Ising model, thus verifying predict…
Where do galaxies end? Comparing measurement techniques of hydrodynamic-simulation galaxies' integrated properties
Adam R. H. Stevens, Marie Martig, Darren J. Croton +1
Using the suite of high-resolution zoom re-simulations of individual haloes by Martig et al., and the large-scale simulation \emph{MassiveBlack-II}, we examine the differences in m…
Stacking Redshifted 21cm Images of HII Regions Around High Redshift Galaxies as a Probe of Early Reionization
James E Davies, Rupert A. Croft, Tiziana Di-Matteo +3
A number of current and future experiments aim to detect the reionization of neutral hydrogen by the first stars and galaxies in the Universe via the redshifted 21cm line. Using th…
Quantifying the Model Risk Inherent in the Calibration and Recalibration of Option Pricing Models
Yu Feng, Ralph Rudd, Christopher Baker +3
We focus on two particular aspects of model risk: the inability of a chosen model to fit observed market prices at a given point in time (calibration error) and the model risk due…
Is Code Better Than Language for Algorithmic Reasoning
Terry Tong, Yu Feng, Surbhi Goel +1
For tool-augmented language models, comparing natural-language reasoning with code-execution pipelines is difficult because the comparison changes both the intermediate representat…
DeGS: A Scalable 3DGS Architecture via Decoupled Workload Parsing and Reorganization
Minnan Pei, Gang Li, Zeyu Zhu +7
3D Gaussian Splatting (3DGS) has emerged as a leading technique for real-time novel view synthesis, yet existing 3DGS accelerators suffer from poor architectural scalability: incre…
pmwd: A Differentiable Cosmological Particle-Mesh -body Library
Yin Li, Libin Lu, Chirag Modi +7
The formation of the large-scale structure, the evolution and distribution of galaxies, quasars, and dark matter on cosmological scales, requires numerical simulations. Differentia…
Certifying Zero-Knowledge Circuits with Refinement Types
Junrui Liu, Ian Kretz, Hanzhi Liu +7
Zero-knowledge (ZK) proof systems have emerged as a promising solution for building security-sensitive applications. However, bugs in ZK applications are extremely difficult to det…
The percolation energy field and its logarithmic partner
Federico Camia, Yu Feng
For site percolation on the triangular lattice, we define two lattice fields that form a logarithmic pair in the sense of conformal field theory. We show that, at the critical poin…
HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
Haoran Luo, Haihong E, Guanting Chen +9
Standard Retrieval-Augmented Generation (RAG) relies on chunk-based retrieval, whereas GraphRAG advances this approach by graph-based knowledge representation. However, existing gr…
Component-based Synthesis of Table Consolidation and Transformation Tasks from Examples
Yu Feng, Ruben Martins, Jacob Van Geffen +2
This paper presents an example-driven synthesis technique for automating a large class of data preparation tasks that arise in data science. Given a set of input tables and an out-…
Cerberus: Query-driven Scalable Vulnerability Detection in OAuth Service Provider Implementations
Tamjid Al Rahat, Yu Feng, Yuan Tian
OAuth protocols have been widely adopted to simplify user authentication and service authorization for third-party applications. However, little effort has been devoted to automati…
Nebular Line Emission During the Epoch of Reionization
Stephen M. Wilkins, Christopher C. Lovell, Ciaran Fairhurst +6
Nebular emission lines associated with galactic HII regions carry information about both physical properties of the ionised gas and the source of ionising photons as well as provid…
The Epoch of IGM heating by early sources of X-rays
Marius Berge Eide, Luca Graziani, Benedetta Ciardi +3
Observations of the 21 cm line from neutral hydrogen indicate that an Epoch of Heating (EoH) might have preceded the later Epoch of Reionization (EoR). Here we study the effects on…
Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: a case study of Hurricane Harvey
Yu Feng, Claus Brenner, Monika Sester
With increasing urbanization, in recent years there has been a growing interest and need in monitoring and analyzing urban flood events. Social media, as a new data source, can pro…
Nebula: Enable City-Scale 3D Gaussian Splatting in Virtual Reality via Collaborative Rendering and Accelerated Stereo Rasterization
He Zhu, Zheng Liu, Xingyang Li +6
3D Gaussian splatting (3DGS) has drawn significant attention in the architectural community recently. However, current architectural designs often overlook the 3DGS scalability, ma…
Stable parabolic Higgs bundles of rank two and singular hyperbolic metrics
Yu Feng, Bin Xu
In this paper, we construct a stable parabolic Higgs bundle of rank two, which corresponds to the uniformization associated with a conformal hyperbolic metric on a compact Riemann…
Toward Ethical Spatial Analysis: Addressing Endogenous Bias Through Visual Analytics
Chuan Chen, Peng Luo, Bo Zhao +2
Spatial analysis can generate both exogenous and endogenous biases, which will lead to ethics issues. Exogenous biases arise from external factors or environments and are unrelated…
CamJ: Enabling System-Level Energy Modeling and Architectural Exploration for In-Sensor Visual Computing
Tianrui Ma, Yu Feng, Xuan Zhang +1
CMOS Image Sensors (CIS) are fundamental to emerging visual computing applications. While conventional CIS are purely imaging devices for capturing images, increasingly CIS integra…
Mock Quasar-Lyman-α Forest Data-sets for the SDSS-III Baryon Oscillation Spectroscopic Survey
Julian E. Bautista, Stephen Bailey, Andreu Font-Ribera +15
We describe mock data-sets generated to simulate the high-redshift quasar sample in Data Release 11 (DR11) of the SDSS-III Baryon Oscillation Spectroscopic Survey (BOSS). The mock…
The ASTRID simulation: the evolution of Supermassive Black Holes
Yueying Ni, Tiziana Di Matteo, Simeon Bird +6
We present the evolution of black holes (BHs) and their relationship with their host galaxies in Astrid, a large-volume cosmological hydrodynamical simulation with box size 250 $h^…
IoTDataBench: Extending TPCx-IoT for Compression and Scalability
Yuqing Zhu, Yanzhe An, Yuan Zi +2
We present a record-breaking result and lessons learned in practicing TPCx-IoT benchmarking for a real-world use case. We find that more system characteristics need to be benchmark…
Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation
Yu Feng, Boyuan Tian, Tiancheng Xu +2
Point cloud analytics is poised to become a key workload on battery-powered embedded and mobile platforms in a wide range of emerging application domains, such as autonomous drivin…
The clustering of galaxies: Predictions from the BLUETIDES simulation
Aklant Kumar Bhowmick, Tiziana Di Matteo, Yu Feng +1
We study the clustering of the highest-z galaxies (from ~ to a few tens Mpc scales) using the BLUETIDES simulation and compare it to current observational constraints from Hu…
Options, Not Clicks: Lattice Refinement for Consent-Driven MCP Authorization
Ying Li, Yanju Chen, Peiran Wang +4
As Model Context Protocol adoption grows, securing tool invocations via meaningful user consent has become a critical challenge, as existing methods, broad always allow toggles or…
MultiGO++: Monocular 3D Clothed Human Reconstruction via Geometry-Texture Collaboration
Nanjie Yao, Gangjian Zhang, Wenhao Shen +3
Monocular 3D clothed human reconstruction aims to generate a complete and realistic textured 3D avatar from a single image. Existing methods are commonly trained under multi-view s…
DiffPoint: Single and Multi-view Point Cloud Reconstruction with ViT Based Diffusion Model
Yu Feng, Xing Shi, Mengli Cheng +1
As the task of 2D-to-3D reconstruction has gained significant attention in various real-world scenarios, it becomes crucial to be able to generate high-quality point clouds. Despit…
A unified Bayesian inversion approach for a class of tumor growth models with different pressure laws
Yu Feng, Liu Liu, Zhennan Zhou
In this paper, we use the Bayesian inversion approach to study the data assimilation problem for a family of tumor growth models described by porous-medium type equations. The mode…
The DESI Experiment Part II: Instrument Design
DESI Collaboration, Amir Aghamousa, Jessica Aguilar +290
DESI (Dark Energy Spectropic Instrument) is a Stage IV ground-based dark energy experiment that will study baryon acoustic oscillations and the growth of structure through redshift…
The Lyman-continuum photon production efficiency in the high-redshift Universe
Stephen M. Wilkins, Yu Feng, Tiziana Di Matteo +4
The Lyman Continuum photon production efficiency () is a critical ingredient for inferring the number of photons available to reionise the intergalactic medium. To es…
Growth and anisotropy of ionization fronts near high redshift quasars in the MassiveBlack simulation
Yu Feng, Rupert A. C. Croft, Tiziana Di Matteo +1
We use radiative transfer to study the growth of ionized regions around the brightest, z=8 quasars in a large cosmological hydrodynamic simulation that includes black hole growth a…
High redshift supermassive blackholes: accretion through cold flows
Yu Feng, Tiziana Di Matteo, Rupert Croft +1
We use zoom-in techniques to re-simulate three high-redshift (z > 5.5) halos which host 10^9 solar mass blackholes from the ~ Gpc volume, MassiveBlack cosmological hydrodynamic sim…
Confronting predictions of the galaxy stellar mass function with observations at high-redshift
Stephen M. Wilkins, Tiziana Di Matteo, Rupert Croft +4
We investigate the evolution of the galaxy stellar mass function at high-redshift () using a pair of large cosmological hydrodynamical simulations: {\em MassiveBlack} and {…
Splatonic: Architecture Support for 3D Gaussian Splatting SLAM via Sparse Processing
Xiaotong Huang, He Zhu, Tianrui Ma +8
3D Gaussian splatting (3DGS) has emerged as a promising direction for SLAM due to its high-fidelity reconstruction and rapid convergence. However, 3DGS-SLAM algorithms remain impra…
Storage capacity of networks with discrete synapses and sparsely encoded memories
Yu Feng, Nicolas Brunel
Attractor neural networks (ANNs) are one of the leading theoretical frameworks for the formation and retrieval of memories in networks of biological neurons. In this framework, a p…
Voyager: Real-Time Splatting City-Scale Gaussians on Resource-Constrained Devices
Zheng Liu, He Zhu, Xinyang Li +7
3D Gaussian splatting (3DGS) is an emerging technique for photorealistic 3D scene rendering. However, rendering city-scale 3DGS scenes on resource-constrained mobile devices in rea…
HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning
Yu Feng, Zhen Tian, Haoran Luo +8
Domain Incremental Learning is a critical scenario that requires models to continuously adapt to new data domains without retraining. However, domain shifts often cause severe perf…
CODO: An Automated Compiler for Comprehensive Dataflow Optimization
Weichuang Zhang, Yiquan Wang, Xinzhou Zhang +6
FPGAs are well-suited for dataflow architectures that process data in a streaming or pipelined manner, thus satisfying the high computational and communication demands of emerging…
Semia: Auditing Agent Skills via Constraint-Guided Representation Synthesis
Hongbo Wen, Ying Li, Hanzhi Liu +4
An agent skill is a configuration package that equips an LLM-driven agent with a concrete capability, such as reading email, executing shell commands, or signing blockchain transac…
Not all peaks are created equal: the early growth of Supermassive Black Holes
Yueying Ni, Tiziana Di Matteo, Yu Feng
In this work, we use the constrained Gaussian realization technique to study the early growth of supermassive black holes (SMBHs) in cosmological hydrodynamic simulations, explorin…
The origin of most massive black holes at high-z: BLUETIDES and the next quasar frontier
Tiziana Di Matteo, Rupert A. C. Croft, Yu Feng +2
The growth of the most massive black holes in the early universe, consistent with the detection of highly luminous quasars at implies sustained, critical accretion of materi…
Singular hyperbolic metrics and negative subharmonic functions
Yu Feng, Yiqian Shi, Jijian Song +1
We propose a conjecture that the monodromy group of a singular hyperbolic metric on a non-hyperbolic Riemann surface is {\it Zariski dense} in . By using m…
Bounded Projective Functions and Hyperbolic Metrics with Isolated Singularities
Bo Li, Yu Feng, Long Li +1
We establish a correspondence on a Riemann surface between hyperbolic metrics with isolated singularities and bounded projective functions whose Schwarzian derivatives have at most…
Gas outflows from the z= 7.54 quasar : predictions from the BlueTides Simulation
Yueying Ni, Tiziana Di Matteo, Yu Feng +2
Many theoretical models predict that quasar driven outflows account for the observed quenching of star formation in massive galaxies. There is growing observational evidence for qu…
SolType: Refinement Types for Arithmetic Overflow in Solidity
Bryan Tan, Benjamin Mariano, Shuvendu K. Lahiri +2
As smart contracts gain adoption in financial transactions, it becomes increasingly important to ensure that they are free of bugs and security vulnerabilities. Of particular relev…
Pronounced scale-dependent charge carrier density in graphene quantum Hall devices
Ziqiang Kong, Yu Feng, Han Gao +19
The miniaturization of quantum Hall resistance standards (QHRS) using epitaxial graphene on silicon carbide necessitates understanding how device dimensions impact performance. Thi…
ASV: Accelerated Stereo Vision System
Yu Feng, Paul Whatmough, Yuhao Zhu
Estimating depth from stereo vision cameras, i.e., "depth from stereo", is critical to emerging intelligent applications deployed in energy- and performance-constrained devices, su…
UNIT project: Universe -body simulations for the Investigation of Theoretical models from galaxy surveys
Chia-Hsun Chuang, Gustavo Yepes, Francisco-Shu Kitaura +13
We present the UNIT -body cosmological simulations project, designed to provide precise predictions for nonlinear statistics of the galaxy distribution. We focus on characterizi…
M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization
Weiming Hu, Zihan Zhang, Haoyan Zhang +8
Existing low-bit Microscaling (MX) formats, such as MXFP4, often suffer from substantial accuracy degradation due to the use of a shared scaling factor with the Power-of-Two format…
Field-Tuned Quantum Effects in a Triangular-Lattice Ising Magnet
Yayuan Qin, Yao Shen, Changle Liu +19
We report thermodynamic and neutron scattering measurements of the triangular-lattice quantum Ising magnet TmMgGaO 4 in longitudinal magnetic fields. Our experiments reveal a quasi…
Control-Oriented Modelling and Adaptive Parameter Estimation for Hybrid Wind-Wave Energy Systems
Yingbo Huang, Bozhong Yuan, Haoran He +6
Hybrid wind-wave energy system, integrating floating offshore wind turbine and wave energy converters, has received much attention in recent years due to its potential benefit in i…
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
Yu Feng, Zhen Tian, Yifan Zhu +4
The key challenge of cross-modal domain-incremental learning (DIL) is to enable the learning model to continuously learn from novel data with different feature distributions under…
Double longitudinal-spin asymmetries in production at RHIC
Yu Feng, Hong-Fei Zhang
The double longitudinal-spin asymmetry, , of the production in polarized proton-proton collisions is presented in this paper at QCD next-to-leading order. It is foun…
On the possibility of Baryon Acoustic Oscillation measurements at redshift with the Roman Space Telescope
Siddharth Satpathy, Zhaozhou An, Rupert A. C. Croft +5
The Nancy Grace Roman Space Telescope (RST), with its field of view and high sensitivity will make surveys of cosmological large-scale structure possible at high redshifts. We inve…
Intrinsic alignments of galaxies in the MassiveBlack-II simulation: analysis of two-point statistics
Ananth Tenneti, Sukhdeep Singh, Rachel Mandelbaum +3
The intrinsic alignment of galaxies with the large-scale density field is an important astrophysical contaminant in upcoming weak lensing surveys. We present detailed measurements…
Differentiable Cosmological Simulation with Adjoint Method
Yin Li, Chirag Modi, Drew Jamieson +5
Rapid advances in deep learning have brought not only myriad powerful neural networks, but also breakthroughs that benefit established scientific research. In particular, automatic…
The Quijote simulations
Francisco Villaescusa-Navarro, ChangHoon Hahn, Elena Massara +26
The Quijote simulations are a set of 44,100 full N-body simulations spanning more than 7,000 cosmological models in the hyperpl…
Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic Search
Yu Feng, Puzhen Zhang, Guohui Xiao +2
A Barrier-Free GeoQA Portal: Enhancing Geospatial Data Accessibility with a Multi-Agent LLM Framework Geoportals are vital for accessing and analyzing geospatial data, promoting op…
Cosmic variance of galaxies: Prediction from BlueTides
Aklant K. Bhowmick, Rachel S. Somerville, Tiziana DiMatteo +3
In the coming decade, a new generation of telescopes, including JWST and WFIRST, will probe the period of the formation of first galaxies and quasars, and open up the last frontier…
Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty
Yu Feng, Phu Mon Htut, Zheng Qi +7
Quantifying uncertainty in black-box LLMs is vital for reliable responses and scalable oversight. Existing methods, which gauge a model's uncertainty through evaluating self-consis…
ELSA: An ELastic SNN Inference Architecture for Efficient Neuromorphic Computing
Kang You, Chen Nie, Lee Jun Yan +6
Spiking neural networks (SNNs) exploit event-driven and addition-only computation to substantially improve efficiency for intelligent computation. A key temporal property of SNNs,…
Multiple SLEs for : Coulomb gas integrals and pure partition functions
Yu Feng, Mingchang Liu, Eveliina Peltola +1
In this article, we give an explicit relationship of SLE partition functions with Coulomb gas formalism of conformal field theory. We first construct a family of SLE partitio…
Logarithmic correlation functions in 2D critical percolation
Federico Camia, Yu Feng
It is believed that the large-scale geometric properties of two-dimensional critical percolation are described by a logarithmic conformal field theory, but it has been challenging…
A Thermodynamic Picture of Financial Market and Model Risk
Yu Feng
By treating the financial market as a thermodynamic system, we establish a one-to-one correspondence between thermodynamic variables and economic quantities. Measured by the expect…
Covariance matrices for variance-suppressed simulations
Tony Zhang, Chia-Hsun Chuang, Risa H. Wechsler +9
Cosmological -body simulations provide numerical predictions of the structure of the Universe against which to compare data from ongoing and future surveys, but the growing volu…
Dynamical Friction Modeling of Massive Black Holes in Cosmological Simulations and Effects on Merger Rate Predictions
Nianyi Chen, Yueying Ni, Michael Tremmel +4
In this work we establish and test methods for implementing dynamical friction for massive black hole pairs that form in large volume cosmological hydrodynamical simulations which…
Real-Time Spatio-Temporal LiDAR Point Cloud Compression
Yu Feng, Shaoshan Liu, Yuhao Zhu
Compressing massive LiDAR point clouds in real-time is critical to autonomous machines such as drones and self-driving cars. While most of the recent prior work has focused on comp…
Polarized neutron scattering studies of magnetic excitations in iron-selenide superconductor (LiFe)ODFeSe ( = 41 K)
Die Hu, Yu Feng, Jitae T. Park +5
We report polarized neutron scattering measurements of the low energy spin fluctuations of the iron-selenide superconductor LiFeODFeSe below and above its supercond…
Neutron Scattering Studies of the Breathing Pyrochlore Antiferromagnet LiGaCrO
Zheng He, Yiqing Gu, Hongliang Wo +7
We report neutron scattering measurements of the spinel oxide LiGaCrO, in which magnetic ions Cr form a breathing pyrochlore lattice. Our experiments reveal the…
CartoAgent: a multimodal large language model-powered multi-agent cartographic framework for map style transfer and evaluation
Chenglong Wang, Yuhao Kang, Zhaoya Gong +4
The rapid development of generative artificial intelligence (GenAI) presents new opportunities to advance the cartographic process. Previous studies have either overlooked the arti…
Homomorphic Mappings for Value-Preserving State Aggregation in Markov Decision Processes
Shuo Zhao, Yongqiang Li, Yu Feng +2
State aggregation aims to reduce the computational complexity of solving Markov Decision Processes (MDPs) while preserving the performance of the original system. A fundamental cha…
Exclusive quarkonium production or decay in soft gluon factorization
Rong Li, Yu Feng, Yan-Qing Ma
In this paper, we study the application of the recently proposed soft gluon factorization (SGF) to exclusive quarkonium production or decay. We find that in the nonrelativistic QCD…
FastAnimate: Towards Learnable Template Construction and Pose Deformation for Fast 3D Human Avatar Animation
Jian Shu, Nanjie Yao, Gangjian Zhang +3
3D human avatar animation aims at transforming a human avatar from an arbitrary initial pose to a specified target pose using deformation algorithms. Existing approaches typically…
The remaining parts for the long-standing J/psi polarization puzzle
Yu Feng, Bin Gong, Chao-Hsi Chang +1
Based on the non-relativistic quantum chromodynamics factorization formalism, the polarization parameters and of hadroproduction are analyzed in helicity…
Hybrid Multimodal Fusion for Humor Detection
Haojie Xu, Weifeng Liu, Jingwei Liu +6
In this paper, we present our solution to the MuSe-Humor sub-challenge of the Multimodal Emotional Challenge (MuSe) 2022. The goal of the MuSe-Humor sub-challenge is to detect humo…
Energy Dependence of Direct-Quarkonium Production in pp Collisions from Fixed-Target to LHC Energies: Complete One-Loop Analysis
Yu Feng, Jean-Philippe Lansberg, Jian-Xiong Wang
We compute the energy dependence of the P_T-integrated cross section of directly produced quarkonia in pp collisions at next-to-leading order (NLO), namely up to alpha_s^3, within…
Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness
Yu Feng, Dingxin Zhang, Runkai Zhao +3
Backdoor attacks pose a severe threat to deep neural networks (DNNs) by implanting hidden backdoors that can be activated with predefined triggers to manipulate model behaviors mal…
Perturbation theory, effective field theory, and oscillations in the power spectrum
Zvonimir Vlah, Uroš Seljak, Man Yat Chu +1
We explore the relationship between the nonlinear matter power spectrum and the various Lagrangian and Standard Perturbation Theories (LPT and SPT). We first look at it in the cont…
Falx: Synthesis-Powered Visualization Authoring
Chenglong Wang, Yu Feng, Rastislav Bodik +3
Modern visualization tools aim to allow data analysts to easily create exploratory visualizations. When the input data layout conforms to the visualization design, users can easily…
Synthesizing Multi-Agent Harnesses for Vulnerability Discovery
Hanzhi Liu, Chaofan Shou, Xiaonan Liu +4
LLM agents have begun to find real security vulnerabilities that human auditors and automated fuzzers missed for decades, in source-available targets where the analyst can build an…
MetaSapiens: Real-Time Neural Rendering with Efficiency-Aware Pruning and Accelerated Foveated Rendering
Weikai Lin, Yu Feng, Yuhao Zhu
Point-Based Neural Rendering (PBNR) is emerging as a promising class of rendering techniques, which are permeating all aspects of society, driven by a growing demand for real-time,…
The properties of the first galaxies in the BLUETIDES simulation
Stephen M. Wilkins, Yu Feng, Tiziana Di-Matteo +3
We employ the very large cosmological hydrodynamical simulation BLUETIDES to investigate the predicted properties of the galaxy population during the epoch of reionisation ().…
Dissipation enhancement of cellular flows in general advection diffusion equations
Yu Feng, Xiaoqian Xu
The main contribution of this paper is twofold: (1) Recently, Iyer, Xu, and ZlatoÅ¡ studied the dissipation enhancement by cellular flows based on standard advection-diffusion equa…
Interpreting core forms of urban morphology linked to urban functions with explainable graph neural network
Dongsheng Chen, Yu Feng, Xun Li +3
Understanding the high-order relationship between urban form and function is essential for modeling the underlying mechanisms of sustainable urban systems. Nevertheless, it is chal…
On Energy Efficiency of the Nearest-Neighbor Cooperative Communication in Heterogeneous Networks
Tao Han, Yu Feng, Jiang Wang +3
In this paper, we consider a two-dimensional heterogeneous cellular network scenario consisting of one base station (BS) and some mobile stations (MSs) whose locations follow a Poi…
AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs
Mingzhe Gao, Jieru Zhao, Zhe Lin +5
Recently, the use of large language models (LLMs) for software code generation, e.g., C/C++ and Python, has proven a great success. However, LLMs still suffer from low syntactic an…
vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving
Jiale Xu, Rui Zhang, Cong Guo +11
Large Language Models (LLMs) are widely used across various domains, processing millions of daily requests. This surge in demand poses significant challenges in optimizing throughp…
SMPL Normal Map Is All You Need for Single-view Textured Human Reconstruction
Wenhao Shen, Gangjian Zhang, Jianfeng Zhang +4
Single-view textured human reconstruction aims to reconstruct a clothed 3D digital human by inputting a monocular 2D image. Existing approaches include feed-forward methods, limite…
Mosaic: Towards Efficient Training of Multimodal Models with Spatial Resource Multiplexing
Yanbo Wang, Yuxuan Wang, Chen Chen +6
With the wide adoption of Multimodal Models (MMs) in real-world scenarios, it is significant to efficiently train emerging MMs that exhibit increasingly complex module architecture…
Deltoris: Enabling Real-time VLA Inference in Embodied AI via Bit-level Sparsity and Speculative Inference
Zheng Liu, Zeyu Guo, Zihan Liu +9
Vision-language-action (VLA) models have emerged as a key component in embodied AI. Among existing approaches, diffusion-based VLA models achieve superior motion quality and genera…
Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent
Wei Zhang, Mingrui Liu, Yu Feng +3
Distributed Deep Learning (DDL) is essential for large-scale Deep Learning (DL) training. Synchronous Stochastic Gradient Descent (SSGD) 1 is the de facto DDL optimization method.…
MADLens, a python package for fast and differentiable non-Gaussian lensing simulations
Vanessa Böhm, Yu Feng, Max E. Lee +1
We present MADLens a python package for producing non-Gaussian lensing convergence maps at arbitrary source redshifts with unprecedented precision. MADLens is designed to achieve h…
The HalfDome Multi-Survey Cosmological Simulations: N-body Simulations
Adrian E. Bayer, Yici Zhong, Zack Li +3
Upcoming cosmological surveys have the potential to reach groundbreaking discoveries on multiple fronts, including the neutrino mass, dark energy, and inflation. Most of the key sc…
Physical design of cold neutron direct geometry inelastic spectrometer at China Spallation Neutron Source
Qian Zhao, Xiaowen Zhang, Songwen Xiao +5
The Cold-Neutron Inelastic Spectrometer (CNIS) is a direct-geometry, time-of-flight instrument designed for China Spallation Neutron Source (CSNS) and optimized to probe low-energy…
Dust Obscured Star Forming Galaxies in the Early Universe
Stephen M. Wilkins, Yu Feng, Tiziana Di Matteo +3
Motivated by recent observational constraints on dust reprocessed emission in star forming galaxies at and above we use the very-large cosmological hydrodynamical simulat…
Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas
Yu Feng, Weiming Zeng, Yifan Xie +8
Background: Although it has been noticed that depressed patients show differences in processing emotions, the precise neural modulation mechanisms of positive and negative emotions…
Visualization by Example
Chenglong Wang, Yu Feng, Rastislav Bodik +2
While visualizations play a crucial role in gaining insights from data, generating useful visualizations from a complex dataset is far from an easy task. Besides understanding the…