Publications (85)
Key frames assisted hybrid encoding for photorealistic compressive video sensing
Honghao Huang, Jiajie Teng, Yu Liang +4
Snapshot compressive imaging (SCI) encodes high-speed scene video into a snapshot measurement and then computationally makes reconstructions, allowing for efficient high-dimensiona…
An Analogue Front-End ASIC Prototype Designed For PMT Signal Readout
Jianfeng Liu, Lei Zhao, Li Yu +6
The Large High Altitude Air Shower Observatory (LHAASO) is designed for high energy gamma ray and cosmic ray detection. A Water Cherenkov Detector Array which is sensitive to gamma…
Two-dimensional function photonic crystals
Xiang-Yao Wu, Ji Ma, Xiao-Jing Liu +1
In this paper, we have firstly proposed two-dimensional function photonic crystals, which the dielectric constants of medium columns are the functions of space coordinates $\vec{r}…
Logical operation of one-dimensional photonic crystal based on series and parallel connection
Xiang-Yao Wu, Ji Ma, Xiao-Jing Liu +4
In this paper, we have proposed the compound structure of one-dimensional photonic crystal (PC), which includes series connection and parallel connection PC. We have studied the tr…
SuperPass: Fast-Tracking Blocking Threads to Mitigate Priority Inversion on Mobile Devices
Lei Li, Yu Liang, Riwei Pan +4
Priority inversion occurs when a high-priority thread is delayed by a lower-priority one. Although well studied in real-time systems, its impact in general-purpose OSes (e.g., Andr…
Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation
Yanni Xue, Haojie Hao, Jiakai Wang +5
While neural machine translation (NMT) models achieve success in our daily lives, they show vulnerability to adversarial attacks. Despite being harmful, these attacks also offer be…
Development of a xenon triple point apparatus suitable for calibrating long-stem SPRTs and preliminary measurements of the temperature
Yikun Zhao, Jintao Zhang, Xiaojuan Feng +5
Xenon is of high chemical-physical stability and health compatibility. The xenon triple point (Xe TP) is accounted for a promising candidate replacing the mercury triple point (Hg…
Conduit: Programmer-Transparent Near-Data Processing Using Multiple Compute-Capable Resources in Solid State Drives
Rakesh Nadig, Vamanan Arulchelvan, Mayank Kabra +9
Solid-state drives (SSDs) are well suited for near-data processing (NDP) because they: (1) store large application datasets, and (2) support three NDP paradigms: in-storage process…
Pedestrian Crossing Intent Prediction via Psychological Features and Transformer Fusion
Sima Ashayer, Hoang H. Nguyen, Yu Liang +1
Pedestrian intention prediction needs to be accurate for autonomous vehicles to navigate safely in urban environments. We present a lightweight, socially informed architecture for…
Adaptive Generation of Phantom Limbs Using Visible Hierarchical Autoencoders
Dakila Ledesma, Yu Liang, Dalei Wu
This paper proposed a hierarchical visible autoencoder in the adaptive phantom limbs generation according to the kinetic behavior of functional body-parts, which are measured by he…
MARS: Processing-In-Memory Acceleration of Raw Signal Genome Analysis Inside the Storage Subsystem
Melina Soysal, Konstantina Koliogeorgi, Can Firtina +8
Raw signal genome analysis (RSGA) has emerged as a promising approach to enable real-time genome analysis by directly analyzing raw electrical signals. However, rapid advancements…
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism
Yu Liang, Wenjie Wei, Ammar Belatreche +5
Binary Spiking Neural Networks (BSNNs) inherit the eventdriven paradigm of SNNs, while also adopting the reduced storage burden of binarization techniques. These distinct advantage…
Prototype of a front-end readout ASIC designed for the Water Cherenkov Detector Array in LHAASO
Lei Zhao, Weihao Wu, Jianfeng Liu +5
The Large High Altitude Air Shower Observatory is in the R&D phase, in which the Water Cherenkov Detector Array is an important part. The signals of Photo-Multiplier Tubes would va…
CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning
Tianhao Peng, Yu Liang, Wenjun Wu +3
Modeling and predicting the performance of students in collaborative learning paradigms is an important task. Most of the research presented in literature regarding collaborative l…
A multichannel front end ASIC for PMT readout in LHAASO WCDA
Yu Liang, Lei Zhao, Yuxiang Guo +5
Time and charge measurements over a large dynamic range from 1 Photo Electron (P.E.) to 4000 P.E. are required for the Water Cherenkov Detector Array (WCDA), which is one of the ke…
A new varied-time photonic crystals
Xiang-Yao Wu, Ji Ma, Xiao-Jing Liu +5
In this paper, we have firstly proposed a new one-dimensional varied-time photonic crystals, i.e., the refractive indices of media and are the time functions. We consider t…
MixBCT: Towards Self-Adapting Backward-Compatible Training
Yu Liang, Yufeng Zhang, Shiliang Zhang +4
Backward-compatible training circumvents the need for expensive updates to the old gallery database when deploying an advanced new model in the retrieval system. Previous methods a…
Polarized Radiative Transfer of Kerr-Newman Black Hole
Xin Li, Sen Guo, Pei Wang +6
In this analysis, we investigate the polarization radiation imaging of Kerr-Newman black holes, with a particular focus on the impact of black hole charge on photon propagation and…
GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
Tianhao Peng, Wenjun Wu, Haitao Yuan +6
Graph neural networks (GNNs) have shown advantages in graph-based analysis tasks. However, most existing methods have the homogeneity assumption and show poor performance on hetero…
Effect of Massive Neutrinos on the Position of Cold Dark Matter Halo: Revealed via Delaunay Triangulation Void
Jian Qin, Yu Liang, Cheng Zhao +3
Using cosmological -body simulation which coevolves cold dark matter (CDM) and neutrino particles, we discover the local effect of massive neutrinos on the spatial distribution…
Quantum effect of one-dimensional photonic crystal
Xiang-Yao Wu, Ji Ma, Xiao-Jing Liu +5
In this paper, we have studied the quantum transmission characteristics of one-dimensional photonic crystal with and without defect layer by the quantum theory approach, and compar…
Evaluation of a front-end ASIC for the readout of PMTs in large dynamic range
Weihao Wu, Lei Zhao, Yu Liang +4
The Large High Altitude Air Shower Observatory (LHAASO) project has been proposed for the survey and study of cosmic rays. In the LHAASO project, the Water Cherenkov Detector Array…
Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition
Xuetao Lin, Tianhao Peng, Peihong Dai +2
EEG-based emotion recognition plays an important role in developing adaptive brain-computer communication systems, yet faces two fundamental challenges in practical implementations…
Design and fabrication of a 2.5T superconducting dipole prototype based on tilted solenoids
Yuquan Chen, Lizhen Ma, Wei Wu +3
This paper describes a new design of superconducting dipole magnet prototype by the use of tilted solenoids. The magnet prototype, which consists of four layers of superimposed til…
COSMIC 1001: Engaging Future Speculation on Space Exploration with Generative AI
Lingyu Peng, Yu Liang, Ying Zhang +2
Cosmic 1001 is an interactive installation that transforms space exploration history into a speculative news experience. Participants first browse a news-based archive of major spa…
ReflectRM: Boosting Generative Reward Models via Self-Reflection within a Unified Judgment Framework
Kai Qin, Liangxin Liu, Yu Liang +7
Reward Models (RMs) are critical components in the Reinforcement Learning from Human Feedback (RLHF) pipeline, directly determining the alignment quality of Large Language Models (…
DIVE in the cosmic web: voids with Delaunay Triangulation from discrete matter tracer distributions
Cheng Zhao, Charling Tao, Yu Liang +2
We present a novel parameter-free cosmological void finder (\textsc{dive}, Delaunay TrIangulation Void findEr) based on Delaunay Triangulation (DT), which efficiently computes the…
Optical Appearances of Accreting Ellis-Bronnikov Wormholes Observed from Both Sides of Throats
Yu-Hao Cui, Kai Lin, Sen Guo +2
This study investigates the optical appearance of the Ellis-Bronnikov wormhole as viewed from both sides of its throat, under conditions of optically thick and thin accretion. By s…
QP-SNN: Quantized and Pruned Spiking Neural Networks
Wenjie Wei, Malu Zhang, Zijian Zhou +6
Brain-inspired Spiking Neural Networks (SNNs) leverage sparse spikes to encode information and operate in an asynchronous event-driven manner, offering a highly energy-efficient pa…
Visualizing the Finer Cluster Structure of Large-Scale and High-Dimensional Data
Yu Liang, Arin Chaudhuri, Haoyu Wang
Dimension reduction and visualization of high-dimensional data have become very important research topics because of the rapid growth of large databases in data science. In this pa…
ScaleDisturb: Exploiting Temporal Asymmetry to Amplify Read Disturbance in Modern DRAM Chips
Jikun Wang, Haocong Luo, Ataberk Olgun +6
DRAM suffers from read disturbance phenomena (e.g., RowHammer and RowPress), where repeatedly accessing or continuously keeping open a DRAM row (aggressor row) induces bitflips in…
Error Analysis of Ia Supernova and Query on Cosmic Dark Energy
Qiuhe Peng, Yiming Hu, Kun Wang +1
Some serious faults in error analysis of observations for SNIa have been found. Redoing the same error analysis of SNIa, by our idea, it is found that the average total observation…
Binary Event-Driven Spiking Transformer
Honglin Cao, Zijian Zhou, Wenjie Wei +6
Transformer-based Spiking Neural Networks (SNNs) introduce a novel event-driven self-attention paradigm that combines the high performance of Transformers with the energy efficienc…
Ariadne: A Hotness-Aware and Size-Adaptive Compressed Swap Technique for Fast Application Relaunch and Reduced CPU Usage on Mobile Devices
Yu Liang, Aofeng Shen, Chun Jason Xue +9
Growing application memory demands and concurrent usage are making mobile device memory scarce. When memory pressure is high, current mobile systems use a RAM-based compressed swap…
Measuring Baryon Acoustic Oscillations from the clustering of voids
Yu Liang, Cheng Zhao, Chia-Hsun Chuang +2
We investigate the necessary methodology to optimally measure the baryon acoustic oscillation (BAO) signal, from voids based on galaxy redshift catalogues. To this end, we study th…
Spiking Vision Transformer with Saccadic Attention
Shuai Wang, Malu Zhang, Dehao Zhang +7
The combination of Spiking Neural Networks (SNNs) and Vision Transformers (ViTs) holds potential for achieving both energy efficiency and high performance, particularly suitable fo…
Mock Observations for the CSST Mission: Integral Field Spectrograph--GEHONG: A Package for Generating Ideal Datacubes
Shuai Feng, Shiyin Shen, Wei Chen +17
We developed a Python package GEHONG to mock the three-dimensional spectral data cube under the observation of an ideal telescope for the Integral Field Spectrograph of the Chinese…
Linear redshift space distortions for cosmic voids based on galaxies in redshift space
Chia-Hsun Chuang, Francisco-Shu Kitaura, Yu Liang +4
Cosmic voids found in galaxy surveys are defined based on the galaxy distribution in redshift space. We show that the large scale distribution of voids in redshift space traces the…
Q-SNNs: Quantized Spiking Neural Networks
Wenjie Wei, Yu Liang, Ammar Belatreche +6
Brain-inspired Spiking Neural Networks (SNNs) leverage sparse spikes to represent information and process them in an asynchronous event-driven manner, offering an energy-efficient…
Can LSH (Locality-Sensitive Hashing) Be Replaced by Neural Network?
Renyang Liu, Jun Zhao, Xing Chu +3
With the rapid development of GPU (Graphics Processing Unit) technologies and neural networks, we can explore more appropriate data structures and algorithms. Recent progress shows…
Robust Spiking Neural Networks Against Adversarial Attacks
Shuai Wang, Malu Zhang, Yulin Jiang +7
Spiking Neural Networks (SNNs) represent a promising paradigm for energy-efficient neuromorphic computing due to their bio-plausible and spike-driven characteristics. However, the…
What does a regular star look like?
Yu Liang, Yuhao Cui, Kai Lin +5
Recently, astronomers discovered unusual Einstein cross images of the galaxy HerS-3, which feature a bright central spot. Motivated by studies of images produced by regular stars,…
The design of optical triode
Xiang-Yao Wu, Ji Ma, Xiao-Jing Liu +2
Under the action of pump light, the conventional photonic crystal can be turned into function photonic crystal. In the paper, we have designed optical triode with one-dimensional f…
Compound structure one-dimensional photonic crystal
Xiang-Yao Wu, Ji Ma, Xiao-Jing Liu +3
In this paper, we have proposed a new compound structure one-dimensional photonic crystal, which include series connection, parallel connection and positive and negative feedback c…
Diagnosing the magnetic field structure of a coronal cavity observed during the 2017 total solar eclipse
Yajie Chen, Hui Tian, Yingna Su +11
We present an investigation of a coronal cavity observed above the western limb in the coronal red line Fe X 6374 Ã using a telescope of Peking University and in the green line Fe…
The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment
Bela Abolfathi, D. S. Aguado, Gabriela Aguilar +344
The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourtee…
ReJSHand: Efficient Real-Time Hand Pose Estimation and Mesh Reconstruction Using Refined Joint and Skeleton Features
Shan An, Shipeng Dai, Mahrukh Ansari +5
Accurate hand pose estimation is vital in robotics, advancing dexterous manipulation in human-computer interaction. Toward this goal, this paper presents ReJSHand (which stands for…
SEPS: Semantic-enhanced Patch Slimming Framework for fine-grained cross-modal alignment
Xinyu Mao, Junsi Li, Haoji Zhang +2
Fine-grained cross-modal alignment aims to establish precise local correspondences between vision and language, forming a cornerstone for visual question answering and related mult…
BSO: Binary Spiking Online Optimization Algorithm
Yu Liang, Yu Yang, Wenjie Wei +4
Binary Spiking Neural Networks (BSNNs) offer promising efficiency advantages for resource-constrained computing. However, their training algorithms often require substantial memory…
SDMatte: Grafting Diffusion Models for Interactive Matting
Longfei Huang, Yu Liang, Hao Zhang +6
Recent interactive matting methods have shown satisfactory performance in capturing the primary regions of objects, but they fall short in extracting fine-grained details in edge r…
Entanglement dynamics of electrons and photons
Xiang-Yao Wu, Xiao-Jing Liu, Jing-Bin Lu +5
Entanglement is a fundamental feature of quantum theory as well as a key resource for quantum computing and quantum communication, but the entanglement mechanism has not been found…
Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion Recognition
Zaitian Wang, Jian He, Yu Liang +8
Emotions play a crucial role in human behavior and decision-making, making emotion recognition a key area of interest in human-computer interaction (HCI). This study addresses the…
Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering
Zhongjin Zhang, Yu Liang, Cong Fu +5
Embedding-based collaborative filtering, often coupled with nearest neighbor search, is widely deployed in large-scale recommender systems for personalized content selection. Moder…
Towards Natural Image Matting in the Wild via Real-Scenario Prior
Ruihao Xia, Yu Liang, Peng-Tao Jiang +5
Recent approaches attempt to adapt powerful interactive segmentation models, such as SAM, to interactive matting and fine-tune the models based on synthetic matting datasets. Howev…
Design of a Time-to-Digital Converter ASIC and a mini-DAQ system for the Phase-2 Upgrade of the ATLAS Monitored Drift Tube detector
Yuxiang Guo, Jinhong Wang, Yu Liang +9
We present the second prototype of a time-to-digital (TDC) ASIC for the upgrade of the ATLAS Monitored Drift Tube (MDT) detector for High-Luminosity LHC operations. Compared to the…
Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor
Guoxin Ma, Yibing Liu, Chengzhengxu Li +7
Context compression aims to shorten long context inputs with minimal information loss for LLM inference acceleration. While existing methods have shown promise, they typically rely…
Imaging Antiferromagnetic Domains in Nickel-oxide Thin Films by Magneto-optical Voigt Effect
Jia Xu, Chao Zhou, Mengwen Jia +9
Recent demonstrations of electrical detection and manipulation of antiferromagnets (AFMs) have opened new opportunities towards robust and ultrafast spintronics devices. However, i…
Design and simulation of a 12-bit, 40 MSPS asynchronous SAR ADC for the readout of PMT signal
Jian-Feng Liu, Lei Zhao, Jia-Jun Qin +5
High precision and large dynamic range measurement are required in the readout systems for the Water Cherenkov Detector Array (WCDA) in Large High Altitude Air Shower Observatory (…
Baryon Acoustic Oscillation detections from the clustering of massive halos and different density region tracers in TianNu simulation
Yu Liu, Yu Liang, Hao-Ran Yu +3
The Baryon Acoustic Oscillations (BAO) refer to the ripples of material density in the Universe. As the most direct density tracers in the universe, galaxies have been commonly use…
The Thirteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the SDSS-IV Survey MApping Nearby Galaxies at Apache Point Observatory
SDSS Collaboration, Franco D. Albareti, Carlos Allende Prieto +335
The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) began observations in July 2014. It pursues three core programs: APOGEE-2, MaNGA, and eBOSS. In addition, eBOSS cont…
The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data
Kyle S. Dawson, Jean-Paul Kneib, Will J. Percival +143
The Extended Baryon Oscillation Spectroscopic Survey (eBOSS) will conduct novel cosmological observations using the BOSS spectrograph at Apache Point Observatory. Observations will…
Image of the Kerr-Newman black hole surrounded by a thin accretion disk
Sen Guo, Yu-Xiang Huang, En-Wei Liang +3
The image of a Kerr-Newman (KN) black hole (BH) surrounded by a thin accretion disk is derived. By employing elliptic integrals and ray-tracing methods, we analyze photon trajector…
Design and performance of a TDC ASIC for the upgrade of the ATLAS Monitored Drift Tube detector
Yu Liang, Jinhong Wang, Xiong Xiao +16
We present the prototype of a time-to-digital (TDC) ASIC for the upgrade of the ATLAS Monitored Drift Tube (MDT) detector for high-luminosity LHC operation. This ASIC is based on a…
Rethinking Generative Recommender Tokenizer: Recsys-Native Encoding and Semantic Quantization Beyond LLMs
Yu Liang, Zhongjin Zhang, Yuxuan Zhu +10
Semantic ID (SID)-based recommendation is a promising paradigm for scaling sequential recommender systems, but existing methods largely follow a semantic-centric pipeline: item emb…
The linear and nonlinear Jaynes-Cummings model for the multiphoton transition
Xiao-Jing Liu, Jing-Bin Lu, Si-Qi Zhang +5
With the Jaynes-Cummings model, we have studied the atom and light field quantum entanglement of multiphoton transition, and researched the effect of initial state superposition co…
Rastall gravity: accretion disk image in radiation fields context and visual transformations compared to Reissner-Nordstrom black holes
Yu-Xiang Huang, Sen Guo, Yu Liang +3
Our study investigates the astronomical implications of Rastall gravity, particularly its behavior amidst a radiation field compared to Reissner-Nordstrom (RN) black holes. Our res…
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…
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Yu Liang, Shilei Cao, Xiucheng Zhang +3
Unsupervised Domain Adaptation (UDA) has emerged as a powerful technique for addressing the distribution shift across various Remote Sensing (RS) applications. However, most UDA ap…
Parser Knows Best: Testing DBMS with Coverage-Guided Grammar-Rule Traversal
Yu Liang, Hong Hu
Database Management System (DBMS) is the key component for data-intensive applications. Recently, researchers propose many tools to comprehensively test DBMS systems for finding va…
RAISE: RAG Design as an Architecture Search Problem
Zhen Chen, Yibing Liu, Weihao Xie +3
Retrieval-augmented generation (RAG) systems expose numerous design choices spanning query rewriting, chunking, retrieval depth, reranking, and context compression. In practice, th…
CIPHERMATCH: Accelerating Homomorphic Encryption-Based String Matching via Memory-Efficient Data Packing and In-Flash Processing
Mayank Kabra, Rakesh Nadig, Harshita Gupta +7
Homomorphic encryption (HE) allows secure computation on encrypted data without revealing the original data, providing significant benefits for privacy-sensitive applications. Many…
Quantum entanglement degrees amplifier
Xiang-Yao Wu, Ji Ma, Xiao-Jing Liu +4
The quantum entangled degrees of entangled states become smaller with the transmission distance increasing, how to keep the purity of quantum entangled states is the puzzle in quan…
Image of the time-dependent black hole
Yu Liang, Sen Guo, Kai Lin +3
The Event Horizon Telescope's 2024 observations report a shift in the position angle of the brightness asymmetry in M87*, revealing time variability in the black hole's image. In t…
ConsistRM: Improving Generative Reward Models via Consistency-Aware Self-Training
Yu Liang, Liangxin Liu, Longzheng Wang +5
Generative reward models (GRMs) have emerged as a promising approach for aligning Large Language Models (LLMs) with human preferences by offering greater representational capacity…
Optical appearance of numerical black hole solutions in higher derivative gravity
Yu-Hao Cui, Sen Guo, Yu-Xiang Huang +2
The optical appearance of the numerically black hole solutions within the higher derivative gravity illuminated by an accretion disk context is discussed. We obtain solutions for n…
Development of a time-to-digital converter ASIC for the upgrade of the ATLAS Monitored Drift Tube detector
Jinhong Wang, Yu Liang, Xiong Xiao +6
The upgrade of the ATLAS muon spectrometer for high-luminosity LHC requires new trigger and readout electronics for the various elements of the detector. We present the design of a…
Signatures of the Primordial Universe from Its Emptiness: Measurement of Baryon Acoustic Oscillations from Minima of the Density Field
Francisco-Shu Kitaura, Chia-Hsun Chuang, Yu Liang +14
Sound waves from the primordial fluctuations of the Universe imprinted in the large-scale structure, called baryon acoustic oscillations (BAOs), can be used as standard rulers to m…
Gravitational waveforms from periodic orbits around Gauss-Bonnet black holes
Yi-Han Huang, Sen Guo, Yu Liang +2
Extreme mass-ratio inspirals (EMRIs) constitute one of the most promising probes of strong field gravity for future space borne gravitational-wave observatories. As a representativ…
REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing
Kangqi Chen, Andreas Kosmas Kakolyris, Rakesh Nadig +7
Large Language Models (LLMs) face an inherent challenge: their knowledge is confined to the data that they have been trained on. To overcome this issue, Retrieval-Augmented Generat…
Improving baryon acoustic oscillation measurement with the combination of cosmic voids and galaxies
Cheng Zhao, Chia-Hsun Chuang, Francisco-Shu Kitaura +6
We develop a methodology to optimise the measurement of Baryon Acoustic Oscillation (BAO) from a given galaxy sample. In our previous work, we demonstrated that one can measure BAO…
Advancing General-Purpose Reasoning Models with Modular Gradient Surgery
Min Cai, Yu Liang, Longzheng Wang +6
Reinforcement learning (RL) has played a central role in recent advances in large reasoning models (LRMs), yielding strong gains in verifiable and open-ended reasoning. However, tr…
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
Ruihao Xia, Yu Liang, Peng-Tao Jiang +4
Despite their success, unsupervised domain adaptation methods for semantic segmentation primarily focus on adaptation between image domains and do not utilize other abundant visual…
Conceptual Design Report of Super Tau-Charm Facility: The Accelerator
Jiancong Bao, Anton Bogomyagkov, Zexin Cao +93
Electron-positron colliders operating in the GeV region of center-of-mass energies or the Tau-Charm energy region, have been proven to enable competitive frontier research, due to…
Image of a time-dependent rotating regular black hole
Sen Guo, En-Wei Liang, Yu-Xiang Huang +4
In this study, we develop a modeling framework based on spatio-temporal generalized random fields to simulate the time-evolving accretion flows and their associated imaging signatu…
PathView-Bench: Can Multimodal Large Language Models Achieve Fine-grained Multiscale Understanding of Pathology Images?
Zongyi Chen, Yu Liang, Jie Lin +1
The paper presents PathVU, a benchmark that tests multimodal large language models on fine-grained, multiscale visual understanding of pathology images using region- and slide-leve…