Publications (83)
Building Digital Twins of Different Human Organs for Personalized Healthcare
Yilin Lyu, Zhen Li, Vu Tran +9
Digital twins are virtual replicas of physical entities and are poised to transform personalized medicine through the real-time simulation and prediction of human physiology. Trans…
TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents
Shoufa Chen, Luyuan Wang, Xuan Yang +7
As large language models and harness frameworks continue to advance, agents operating in terminals are increasingly capable of performing a broader range of general computer-use ta…
Dynamic Shapley Computation
Xuan Yang, Hsi-Wen Chen, Ming-Syan Chen +1
Shapley-based data valuation provides a principled way to quantify the contribution of training data, but its high computational cost makes it impractical in dynamic settings where…
Beyond Ideal Instruction: A Comprehensive Framework for Evaluating LLMs in Realistic Interactions
Xuan Yang, Hao Xu, Tingfeng Hui +4
Despite great advances in tool-use capabilities of large language models (LLMs), existing evaluation benchmarks struggle to fully align with real-world scenarios. Such benchmarks m…
The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 10th International Workshop on Acoustic and Radio EeV Neutrino Detection Activities (ARENA 2024)
Rafael Alves Batista, Aurélien Benoit-Lévy, Teresa Bister +121
This is an index of the contributions by the Giant Radio Array for Neutrino Detection (GRAND) Collaboration to the 10th International Workshop on Acoustic and Radio EeV Neutrino De…
FPMax: a 106GFLOPS/W at 217GFLOPS/mm2 Single-Precision FPU, and a 43.7GFLOPS/W at 74.6GFLOPS/mm2 Double-Precision FPU, in 28nm UTBB FDSOI
Jing Pu, Sameh Galal, Xuan Yang +2
FPMax implements four FPUs optimized for latency or throughput workloads in two precisions, fabricated in 28nm UTBB FDSOI. Each unit's parameters, e.g pipeline stages, booth encodi…
FCCDN: Feature Constraint Network for VHR Image Change Detection
Pan Chen, Danfeng Hong, Zhengchao Chen +3
Change detection is the process of identifying pixelwise differences in bitemporal co-registered images. It is of great significance to Earth observations. Recently, with the emerg…
Spatial-temporal traffic modeling with a fusion graph reconstructed by tensor decomposition
Qin Li, Xuan Yang, Yong Wang +2
Accurate spatial-temporal traffic flow forecasting is essential for helping traffic managers to take control measures and drivers to choose the optimal travel routes. Recently, gra…
Batch-of-Thought: Cross-Instance Learning for Enhanced LLM Reasoning
Xuan Yang, Furong Jia, Roy Xie +4
Current Large Language Model reasoning systems process queries independently, discarding valuable cross-instance signals such as shared reasoning patterns and consistency constrain…
Hybrid Quantum-Classical Neural Networks for Few-Shot Credit Risk Assessment
Zheng-an Wang, Yanbo J. Wang, Jiachi Zhang +11
Quantum Machine Learning (QML) offers a new paradigm for addressing complex financial problems intractable for classical methods. This work specifically tackles the challenge of fe…
Effects of shallow carbon and deep N++ layer on the radiation hardness of IHEP-IME LGAD sensors
Mengzhao Li, Yunyun Fan, Xuewei Jia +23
Low Gain Avalanche Diode (LGAD) is applied for the High-Granularity Timing Detector (HGTD), and it will be used to upgrade the ATLAS experiment. The first batch IHEP-IME LGAD senso…
Astra: a generalizable report generation foundation model for 3D computed tomography
Zhuhao Wang, Fang Chen, Chaohui Yu +19
Astra is a foundation model that automatically generates radiology reports from thoracoabdominal CT scans, handling multiple organ regions and maintaining consistent style across d…
Statistical Methods for Auditing the Quality of Manual Content Reviews
Xuan Yang, Andrew J Smart, Daniel Theron
Large technology firms face the problem of moderating content on their online platforms for compliance with laws and policies. To accomplish this at the scale of billions of pieces…
Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators
Xuan Yang, Mingyu Gao, Qiaoyi Liu +9
We show that DNN accelerator micro-architectures and their program mappings represent specific choices of loop order and hardware parallelism for computing the seven nested loops o…
A Systematic Approach to Blocking Convolutional Neural Networks
Xuan Yang, Jing Pu, Blaine Burton Rister +6
Convolutional Neural Networks (CNNs) are the state of the art solution for many computer vision problems, and many researchers have explored optimized implementations. Most impleme…
The unknotting numbers for plus-welded knotoids
Fengling Li, Andrei Vesnin, Xuan Yang
Knotoid theory is a generalization of knot theory introduced by Turaev in 2012. In recent years, various invariants of knotoids have been studied. In this paper, we mainly discuss…
Multiwavelength Observations of the Apparently Non-repeating FRB 20250316A
Ye Li, Hui Sun, Lei Qian +72
The physical origin of fast radio bursts (FRBs) remains uncertain. Although multiwavelength observations have been widely conducted, only Galactic FRB~20200428D is associated with…
VideoPoet: A Large Language Model for Zero-Shot Video Generation
Dan Kondratyuk, Lijun Yu, Xiuye Gu +28
We present VideoPoet, a language model capable of synthesizing high-quality video, with matching audio, from a large variety of conditioning signals. VideoPoet employs a decoder-on…
Searching for Gamma Ray Bursts associated with CHIME Fast Radio bursts
Yi-Fang Liang, Ye Li, Bao Wang +3
Fast radio bursts (FRBs) and gamma-ray bursts (GRBs) are both linked to compact-object activity, yet their possible connection remains unclear. Here we perform a systematic search…
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
Guoqing Ma, Haoyang Huang, Kun Yan +112
We present Step-Video-T2V, a state-of-the-art text-to-video pre-trained model with 30B parameters and the ability to generate videos up to 204 frames in length. A deep compression…
Non-detection of FAST and Parkes follow-up observation for 27 Parkes discovered FRBs
Xuan Yang, Songbo Zhang, Xuefeng Wu
To investigate whether apparently non-repeating Fast Radio Bursts (FRBs) are truly one-off transients, we conducted systematic follow-up observations of 27 out of 81 non-repeating…
The Performance of AC-coupled Strip LGAD developed by IHEP
Weiyi Sun, Mengzhao Li, Zhijun Liang +13
The AC-coupled Strip LGAD (Strip AC-LGAD) is a novel LGAD design that diminishes the density of readout electronics through the use of strip electrodes, enabling the simultaneous m…
Bright bursts with sub-millisecond structures of FRB 20230607A in a highly magnetized environment
DeJiang Zhou, J. L. Han, Bing Zhang +19
We report the observations of a repeating FRB 20230607A for 15.6 hours spanning 16 months using the Five-hundred-meter Aperture Spherical Radio Telescope (FAST) with the detection…
The performance of large-pitch AC-LGAD with different N+ dose
Mengzhao Li, Weiyi Sun, Zhijun Liang +13
AC-Coupled LGAD (AC-LGAD) is a new 4D detector developed based on the Low Gain Avalanche Diode (LGAD) technology, which can accurately measure the time and spatial information of p…
Development of the strip LGAD detector with double-end readout for future colliders
Weiyi Sun, Mengzhao Li, Tianyuan Zhang +9
The Low-Gain Avalanche Diode (LGAD) is a new silicon detector and holds wide application prospects in particle physics experiments due to its excellent timing resolution. The LGAD…
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps
Nanye Ma, Shangyuan Tong, Haolin Jia +8
Generative models have made significant impacts across various domains, largely due to their ability to scale during training by increasing data, computational resources, and model…
Time-interval Measurement with Linear Optical Sampling at the Femtosecond Level
Dongrui Yu, Ziyang Chen, Xuan Yang +7
High-precision time-interval measurement is a fundamental technique in many advanced applications, including time and distance metrology, particle physics, and ultra-precision mach…
Step-Level Sparse Autoencoder for Reasoning Process Interpretation
Xuan Yang, Jiayu Liu, Yuhang Lai +3
Large Language Models (LLMs) have achieved strong complex reasoning capabilities through Chain-of-Thought (CoT) reasoning. However, their reasoning patterns remain too complicated…
Echo4DIR: 4D Implicit Heart Reconstruction from 2D Echocardiography Videos
Yanan Liu, Qinya Li, Hao Zhang +5
Reconstructing 4D (3D+t) cardiac geometry from sparse 2D echocardiography is highly desirable yet fundamentally challenged by geometric ambiguity and temporal discontinuity. To tac…
Unified Autoregressive Visual Generation and Understanding with Continuous Tokens
Lijie Fan, Luming Tang, Siyang Qin +11
We present UniFluid, a unified autoregressive framework for joint visual generation and understanding leveraging continuous visual tokens. Our unified autoregressive architecture p…
High-pulse-energy integrated mode-locked lasers based on a Mamyshev oscillator
Zheru Qiu, Jianqi Hu, Xuan Yang +9
Ultrafast lasers have unlocked numerous advances across science and technology: they enable corneal surgery, reveal chemical reaction dynamics, and underpin optical atomic clocks.…
Core Collapse Supernova Explosions in Active Galactic Nucleus Accretion Disks
Fu-Lin Li, Yu Liu, Xiao Fan +4
Astrophysical events that occur in active galactic nucleus (AGN) disks are believed to differ significantly from the ordinary in the interstellar medium. We show that stars located…
RePCM: Region-Specific and Phenotype-Adaptive Bi-Ventricular Cardiac Motion Synthesis
Xuan Yang, Xiaohan Yuan, Hao Li +3
Cardiac motion over a cardiac cycle is crucial for quantifying regional function and is strongly affected by cardiovascular diseases. Since temporally dense mesh sequences are diff…
Towards the Giant Radio Array for Neutrino Detection (GRAND): the GRANDProto300 and GRAND@Auger prototypes
GRAND Collaboration, Jaime Ãlvarez-Muniz, Rafael Alves Batista +118
The Giant Radio Array for Neutrino Detection (GRAND) is a proposed multi-messenger observatory of Ultra-High-Energy (UHE) particles of cosmic origin. Its main goal is to find the l…
MPCEval: A Benchmark for Multi-Party Conversation Generation
Minxing Zhang, Yi Yang, Zhuofan Jia +5
Multi-party conversation generation, such as smart reply and collaborative assistants, is an increasingly important capability of generative AI, yet its evaluation remains a critic…
Division-based Receiver-agnostic RFF Identification in WiFi Systems
Xuan Yang, Dongming Li, Dong Wei +1
In physical-layer security schemes, radio frequency fingerprint (RFF) identification of WiFi devices is susceptible to receiver differences, which can significantly degrade classif…
A possible periodic RM evolution in the repeating FRB 20220529
Yi-Fang Liang, Ye Li, Zhen-Fan Tang +18
Fast radio bursts (FRBs) are mysterious millisecond-duration radio transients of extragalactic origin. Some of them repeat, while others apparently do not. Investigations of period…
TOA_SP: A Multi-Strategy Framework for Single-Pulse Timing
Songbo Zhang, Xuan Yang
Precision pulsar timing typically relies on the stability of average pulse profiles, enabling time-of-arrival (TOA) estimation through template cross-correlation. This assumption b…
On uniqueness of solutions to degenerate nonlinear Fokker-Planck Equations in Hilbert spaces
Xueru Liu, Xuan Yang, Wei Wang
An -valued stochastic N-interacting particle systems is investigated. Existence and uniqueness of solutions for the degenerate nonlinear Fokker-Planck equation for probab…
GenClaw: Code-Driven Agentic Image Generation
Junyan Ye, Jun He, Zilong Huang +4
Image generation models have evolved from text-conditioned pixel synthesis toward multimodal agents endowed with visual comprehension and tool invocation capabilities. Yet, existin…
Intra-Class Subdivision for Pixel Contrastive Learning: Application to Semi-supervised Cardiac Image Segmentation
Jiajun Zhao, Xuan Yang
We propose an intra-class subdivision pixel contrastive learning (SPCL) framework for cardiac image segmentation to address representation contamination at boundaries. The novel co…
A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning
Xuan Yang, Zhengchao Chen, Baipeng Li +3
The land-use map is an important data that can reflect the use and transformation of human land, and can provide valuable reference for land-use planning. For the traditional image…
Detecting Extragalactic Axion-like Dark Matter with Polarization Measurements of Fast Radio Bursts
Bao Wang, Xuan Yang, Jun-Jie Wei +2
Axions or axion-like particles (ALPs) are one of the promising dark matter (DM) candidates. A prevalent method to detect axion-like DM is to seek periodic oscillation in the polari…
Full C- and L-band tunable erbium-doped integrated lasers via scalable manufacturing
Xinru Ji, Xuan Yang, Yang Liu +8
Erbium (Er) ions are the gain medium of choice for fiber-based amplifiers and lasers, offering a long excited-state lifetime, slow gain relaxation, low amplification nonlinearity a…
The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 39th International Cosmic Ray Conference (ICRC 2025)
Jaime Ãlvarez-Muñiz, Rafael Alves Batista, Aurélien Benoit-Lévy +133
The Giant Radio Array for Neutrino Detection (GRAND) is an envisioned observatory of ultra-high-energy particles of cosmic origin, with energies in excess of 100 PeV. GRAND uses la…
A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data
Yifan Wu, Yang Liu, Yue Yang +10
Diagnosing rare diseases presents a common challenge in clinical practice, necessitating the expertise of specialists for accurate identification. The advent of machine learning of…
STNMamba: Mamba-based Spatial-Temporal Normality Learning for Video Anomaly Detection
Zhangxun Li, Mengyang Zhao, Xuan Yang +6
Video anomaly detection (VAD) has been extensively researched due to its potential for intelligent video systems. However, most existing methods based on CNNs and transformers stil…
Local Shapley: Model-Induced Locality and Optimal Reuse in Data Valuation
Xuan Yang, Hsi-Wen Chen, Ming-Syan Chen +1
The Shapley value provides a principled foundation for data valuation, but exact computation is #P-hard due to the exponential coalition space. Existing accelerations remain global…
Who is next: rising star prediction via diffusion of user interest in social networks
Xuan Yang, Yang Yang, Jintao Su +5
Finding items with potential to increase sales is of great importance in online market. In this paper, we propose to study this novel and practical problem: rising star prediction.…
NodeSynth: Socially Aligned Synthetic Data for AI Evaluation
Qazi Mamunur Rashid, Xuan Yang, Zhengzhe Yang +5
Recent advancements in generative AI facilitate large-scale synthetic data generation for model evaluation. However, without targeted approaches, these datasets often lack the soci…
On the Secrecy Performance of Continuous-Aperture Arrays Over Fading Channels
Xuan Yang, Chongjun Ouyang, Dongming Li +1
The secrecy performance of continuous-aperture array (CAPA)-based wiretap channels in terms of secrecy rate and secrecy outage probability (SOP) is analyzed. First, the system mode…
MMGA: Multimodal Learning with Graph Alignment
Xuan Yang, Quanjin Tao, Xiao Feng +3
Multimodal pre-training breaks down the modality barriers and allows the individual modalities to be mutually augmented with information, resulting in significant advances in repre…
GRANDlib: A simulation pipeline for the Giant Radio Array for Neutrino Detection (GRAND)
GRAND Collaboration, Rafael Alves Batista, Aurélien Benoit-Lévy +112
The operation of upcoming ultra-high-energy cosmic-ray, gamma-ray, and neutrino radio-detection experiments, like the Giant Radio Array for Neutrino Detection (GRAND), poses signif…
VideoGLUE: Video General Understanding Evaluation of Foundation Models
Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao +14
We evaluate the video understanding capabilities of existing foundation models (FMs) using a carefully designed experiment protocol consisting of three hallmark tasks (action recog…
DropMessage: Unifying Random Dropping for Graph Neural Networks
Taoran Fang, Zhiqing Xiao, Chunping Wang +3
Graph Neural Networks (GNNs) are powerful tools for graph representation learning. Despite their rapid development, GNNs also face some challenges, such as over-fitting, over-smoot…
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
Xiuye Gu, Yin Cui, Jonathan Huang +8
Observing the close relationship among panoptic, semantic and instance segmentation tasks, we propose to train a universal multi-dataset multi-task segmentation model: DaTaSeg.We u…
CelloCut: Constructive Watertight Remeshing via Tetrahedral Cell Cuts
Xuan Yang, Yuhang Zeng, Dinglong Fang +6
Watertight remeshing aims to recover a surface that induces a globally consistent interior--exterior partition of 3D space. However, for meshes with complex topology, single-layer…
The performance of IHEP-NDL LGAD sensors after neutron irradiation
Mengzhao Li, Yunyun Fan, Bo Liu +20
The performances of Low Gain Avalanche diode (LGAD) sensors from a neutron irradiation campaign with fluences of 0.8 x 10^15, 15 x 10^15 and 2.5 x 10^15 neq/cm2 are reported in thi…
Multifaceted neural representation of words in naturalistic language
Xuan Yang, Chuanji Gao, Cheng Xiao +2
Understanding how the brain represents the multifaceted properties of words in context is essential for explaining the neural architecture of human language. Here, we combine large…
Programming Heterogeneous Systems from an Image Processing DSL
Jing Pu, Steven Bell, Xuan Yang +4
Specialized image processing accelerators are necessary to deliver the performance and energy efficiency required by important applications in computer vision, computational photog…
Low-Latency Video Conferencing via Optimized Packet Routing and Reordering
Yao Xiao, Sitian Chen, Amelie Chi Zhou +4
In the face of rising global demand for video meetings, managing traffic across geographically distributed (geo-distributed) data centers presents a significant challenge due to th…
Constraining Einstein's Equivalence Principle With Multi-Wavelength Observations of Polarized Blazars
Shuang-Xi Yi, Yuan-Chuan Zou, Xuan Yang +2
In this paper, we present a novel method to test the Einstein's Equivalence Principle (EEP) using (simultaneous) multi-wavelength radio observations of polarized blazars. We analyz…
An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery
Xuan Yang, Shanshan Li, Zhengchao Chen +5
Semantic segmentation is an essential part of deep learning. In recent years, with the development of remote sensing big data, semantic segmentation has been increasingly used in r…
Deep Thinking by Markov Chain of Continuous Thoughts
Jiayu Liu, Zhenya Huang, Xuan Yang +6
Transformer-based models can perform complicated reasoning by generating reasoning paths token by token. While effective, this approach often requires generating thousands of token…
Design and testing of LGAD sensor with shallow carbon implantation
Kewei Wu, Xuewei Jia, Tao Yang +26
The low gain avalanche detectors (LGADs) are thin sensors with fast charge collection which in combination with internal gain deliver an outstanding time resolution of about 30 ps.…
Silhouette Score Efficient Radio Frequency Fingerprint Feature Extraction
Xuan Yang, Dongming Li, Yi Lou +1
Radio frequency fingerprint (RFF) identification technology, which exploits relatively stable hardware imperfections, is highly susceptible to constantly changing channel effects.…
Short-Term Photovoltaic Forecasting Model for Qualifying Uncertainty during Hazy Weather
Xuan Yang, Yunxuan Dong, Lina Yang +1
Solar energy is one of the most promising renewable energy resources. Forecasting photovoltaic power generation is an important way to increase photovoltaic penetration. However, t…
A fully integrated dispersion-managed femtosecond mode-locked laser
Xurong Li, Xuan Yang, Zheru Qiu +7
Femtosecond lasers underpin applications ranging from material processing to corneal surgery, while their regular pulse trains form optical frequency combs that have revolutionized…
On Label Granularity and Object Localization
Elijah Cole, Kimberly Wilber, Grant Van Horn +6
Weakly supervised object localization (WSOL) aims to learn representations that encode object location using only image-level category labels. However, many objects can be labeled…
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Gheorghe Comanici, Eric Bieber, Mike Schaekermann +3431
In this report, we introduce the Gemini 2.X model family: Gemini 2.5 Pro and Gemini 2.5 Flash, as well as our earlier Gemini 2.0 Flash and Flash-Lite models. Gemini 2.5 Pro is our…
MLP Based Continuous Gait Recognition of a Powered Ankle Prosthesis with Serial Elastic Actuator
Yanze Li, Feixing Chen, Jingqi Cao +4
Powered ankle prostheses effectively assist people with lower limb amputation to perform daily activities. High performance prostheses with adjustable compliance and capability to…
Atlas of dynamic spectra of fast radio burst FRB 20201124A
Bo-Jun Wang, Heng Xu, Jin-Chen Jiang +64
Fast radio bursts (FRBs) are highly dispersed millisecond-duration radio bursts, of which the physical origin is still not fully understood. FRB 20201124A is one of the most active…
On the Energy-Efficient Deployment for Ultra-Dense Heterogeneous Networks with NLoS and LoS Transmissions
Bin Yang, Guoqiang Mao, Xiaohu Ge +2
We investigate network performance of ultra-dense heterogeneous networks (HetNets) and study the maximum energy-efficient base station (BS) deployment incorporating probabilistic n…
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset
Sagar M. Waghmare, Kimberly Wilber, Dave Hawkey +9
Vision is essential for human navigation. The World Health Organization (WHO) estimates that 43.3 million people were blind in 2020, and this number is projected to reach 61 millio…
Cross-validation of six dispersion measure estimation methods for FRB 20240114A
Tonglun Wang, Songbo Zhang, Yuanchuan Zou +11
Fast Radio Bursts (FRBs) are important cosmological probes, but their applications depend critically on accurate dispersion measure (DM) determinations. We present a systematic com…
Parkes transient events: II. Pulsar single pulses database containing raw data segment
Xuan Yang, S. B. Zhang, Le-Yu Tang +2
We have re-processed single pulse candidates from the first four years (1997-2001) of the Parkes Multibeam receiver system observations, creating a new Parkes transient database (P…
LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input Contexts
Zhuhao Wang, Yihua Sun, Zihan Li +3
Drafting radiology reports is a complex task requiring flexibility, where radiologists tail content to available information and particular clinical demands. However, most current…
PolyMaX: General Dense Prediction with Mask Transformer
Xuan Yang, Liangzhe Yuan, Kimberly Wilber +8
Dense prediction tasks, such as semantic segmentation, depth estimation, and surface normal prediction, can be easily formulated as per-pixel classification (discrete outputs) or r…
Spin Dynamics from Niu-Kleinman Adiabatic Approach and Slave Boson Mean Field Theory
Xuan Yang, Tianyang Xie, Shaohang Shi +2
Spin-wave excitations provide a central probe of magnetic order and electronic correlations in strongly correlated materials. In this work, we develop an adiabatic theory of spin d…
The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 38th International Cosmic Ray Conference (ICRC 2023)
GRAND Collaboration, Rafael Alves Batista, Aurélien Benoit-Lévy +96
The Giant Radio Array for Neutrino Detection (GRAND) is an envisioned observatory of ultra-high-energy particles of cosmic origin, with energies in excess of 100 PeV. GRAND uses la…
When Does Contrastive Visual Representation Learning Work?
Elijah Cole, Xuan Yang, Kimberly Wilber +2
Recent self-supervised representation learning techniques have largely closed the gap between supervised and unsupervised learning on ImageNet classification. While the particulars…
Quasi-periodic sub-structure of RRAT J1913+1330
Zhenfan Tang, Songbo Zhang, Jieshuang Wang +2
Recent findings suggest a universal relationship between the quasi-periodic sub-structures and rotational periods across various types of radio-emitting neutron stars. In this stud…
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
Jiawei Zhang, Xuan Yang, Taiqi Wang +3
Traditional autonomous driving systems often struggle to connect high-level reasoning with low-level control, leading to suboptimal and sometimes unsafe behaviors. Recent advances…