Publications (358)
Prim2Room: Layout-Controllable Room Mesh Generation from Primitives
Chengzeng Feng, Jiacheng Wei, Cheng Chen +5
We propose Prim2Room, a novel framework for controllable room mesh generation leveraging 2D layout conditions and 3D primitive retrieval to facilitate precise 3D layout specificati…
Tunable moiré bandgap in hBN-aligned bilayer graphene device with in-situ electrostatic gating
Hanbo Xiao, Han Gao, Min Li +12
Over the years, great efforts have been devoted in introducing a sizable and tunable band gap in graphene for its potential application in next-generation electronic devices. The p…
Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study
Cheng Chen, Junjie Yang, Yi Zhou
Modern deep neural network (DNN) trainings utilize various training techniques, e.g., nonlinear activation functions, batch normalization, skip-connections, etc. Despite their effe…
Dirac Spin Liquid Candidate in a Rydberg Quantum Simulator
Guillaume Bornet, Marcus Bintz, Cheng Chen +10
We experimentally investigate a frustrated spin-exchange antiferromagnet in a quantum simulator, composed of N = 114 dipolar Rydberg atoms arranged into a kagome array. Motivated b…
Millemeter-Wave Fixed Wireless Access Using IEEE 802.11ay
Cheng Chen, Oren Kedem, Claudio R. C. M. da Silva +1
IEEE 802.11ay defines new PHY and MAC specifications that enable 100 Gbps communications in the 60 GHz millimeter-wave (mmWave) band. Among the various use cases supported by IEEE…
Interference Mitigation using Optimized Angle Diversity Receiver in LiFi Cellular Network
Zhihong Zeng, Chen Chen, Svetislav Savovi +4
Light-fidelity (LiFi) is an emerging technology for high-speed short-range mobile communications. Inter-cell interference (ICI) is an important issue that limits the system perform…
Inference of relative permeability curves in reservoir rocks with ensemble Kalman method
Xu-Hui Zhou, Haochen Wang, James McClure +2
Multiphase flows through reservoir rocks are a universal and complex phenomenon. Relative permeability is one of the primary determinants in reservoir performance calculations. Acc…
From Observations to Parameters: Detecting Changepoint in Nonlinear Dynamics with Simulation-based Inference
Xiangbo Deng, Cheng Chen, Peng Yang
Detecting regime shifts in chaotic time series is hard because observation-space signals are entangled with intrinsic variability. We propose Parameter--Space Changepoint Detection…
Near-Zero-Overhead Freshness for Recommendation Systems via Inference-Side Model Updates
Wenjun Yu, Sitian Chen, Cheng Chen +1
Deep Learning Recommendation Models (DLRMs) underpin personalized services but face a critical freshness-accuracy tradeoff due to massive parameter synchronization overheads. Produ…
Minimising the numerical viscosity in Smoothed Particle Hydrodynamics simulations of discs
Cheng Chen, C. J. Nixon
Simulations using the Smoothed Particle Hydrodynamics (SPH) technique typically include numerical viscosity to model shocks and maintain particle order on the kernel scale. This nu…
Realization of a doped quantum antiferromagnet with dipolar tunnelings in a Rydberg tweezer array
Mu Qiao, Gabriel Emperauger, Cheng Chen +13
Doping an antiferromagnetic Mott insulator is central to our understanding of a variety of phenomena in strongly-correlated electrons, including high-temperature superconductors. T…
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
Hongzheng Yang, Cheng Chen, Yueyao Chen +3
Uncertainty estimation plays an important role for future reliable deployment of deep segmentation models in safety-critical scenarios such as medical applications. However, existi…
Developing a Production System for Purpose of Call Detection in Business Phone Conversations
Elena Khasanova, Pooja Hiranandani, Shayna Gardiner +3
For agents at a contact centre receiving calls, the most important piece of information is the reason for a given call. An agent cannot provide support on a call if they do not kno…
CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
Cheng Chen, Junchen Zhu, Xu Luo +3
Instruction tuning represents a prevalent strategy employed by Multimodal Large Language Models (MLLMs) to align with human instructions and adapt to new tasks. Nevertheless, MLLMs…
CuES: A Curiosity-driven and Environment-grounded Synthesis Framework for Agentic RL
Shinji Mai, Yunpeng Zhai, Ziqian Chen +5
Large language model based agents are increasingly deployed in complex, tool augmented environments. While reinforcement learning provides a principled mechanism for such agents to…
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
Shixiang Tang, Cheng Chen, Qingsong Xie +9
Human-centric perceptions include a variety of vision tasks, which have widespread industrial applications, including surveillance, autonomous driving, and the metaverse. It is des…
Computation Resource Allocation Solution in Recommender Systems
Xun Yang, Yunli Wang, Cheng Chen +4
Recommender systems rely heavily on increasing computation resources to improve their business goal. By deploying computation-intensive models and algorithms, these systems are abl…
A Novel Approach to Malicious Code Detection Using CNN-BiLSTM and Feature Fusion
Lixia Zhang, Tianxu Liu, Kaihui Shen +1
With the rapid advancement of Internet technology, the threat of malware to computer systems and network security has intensified. Malware affects individual privacy and security a…
Enhancing a Many-body Dipolar Rydberg Tweezer Array with Arbitrary Local Controls
Guillaume Bornet, Gabriel Emperauger, Cheng Chen +8
We implement and characterize a protocol that enables arbitrary local controls in a dipolar atom array, where the degree of freedom is encoded in a pair of Rydberg states. Our appr…
Archimedean Non-vanishing, Cohomological Test Vectors, and Standard -functions of : Real Case
Cheng Chen, Dihua Jiang, Bingchen Lin +1
The standard -functions of expressed in terms of the Friedberg-Jacquet global zeta integrals have better structure for arithmetic applications, due to the rel…
LaRec: Unleashing LLM-based Latent Reasoning for Generative Recommendation
Yu Xia, Zihan Lin, Wei Yang +4
Large Language Models (LLMs) have shown great promise in recommendation due to superior reasoning abilities. However, existing methods mainly rely on explicit Chain-of-Thought (CoT…
Learning Directional Feature Maps for Cardiac MRI Segmentation
Feng Cheng, Cheng Chen, Yukang Wang +5
Cardiac MRI segmentation plays a crucial role in clinical diagnosis for evaluating personalized cardiac performance parameters. Due to the indistinct boundaries and heterogeneous i…
Producing Plankton Classifiers that are Robust to Dataset Shift
Cheng Chen, Sreenath Kyathanahally, Marta Reyes +6
Modern plankton high-throughput monitoring relies on deep learning classifiers for species recognition in water ecosystems. Despite satisfactory nominal performances, a significant…
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation
Cheng Chen, Juzheng Miao, Dufan Wu +10
The Segment Anything Model (SAM), a foundation model for general image segmentation, has demonstrated impressive zero-shot performance across numerous natural image segmentation ta…
Spectroscopy of elementary excitations from quench dynamics in a dipolar XY Rydberg simulator
Cheng Chen, Gabriel Emperauger, Guillaume Bornet +11
We use a Rydberg quantum simulator to demonstrate a new form of spectroscopy, called quench spectroscopy, which probes the low-energy excitations of a many-body system. We illustra…
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
High-Precision Calibration Workflow Achieves Above CZ Gate Fidelity on a Scalable Superconducting Processor
Huili Zhang, Meiling Li, Shuang Yang +6
High-fidelity universal two-qubit gates are critical for building fault-tolerant quantum computers. In scalable superconducting processors, shortened coherence times introduce more…
Aquarius: A Family of Industry-Level Video Generation Models for Marketing Scenarios
Huafeng Shi, Jianzhong Liang, Rongchang Xie +3
This report introduces Aquarius, a family of industry-level video generation models for marketing scenarios designed for thousands-xPU clusters and models with hundreds of billions…
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation
Qi Dou, Cheng Ouyang, Cheng Chen +4
Deep convolutional networks have demonstrated the state-of-the-art performance on various medical image computing tasks. Leveraging images from different modalities for the same an…
FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling
Cheng Chen, Ziyi Chen, Yi Zhou +1
We develop FedCluster--a novel federated learning framework with improved optimization efficiency, and investigate its theoretical convergence properties. The FedCluster groups the…
Data Efficiency for Large Recommendation Models
Kshitij Jain, Jingru Xie, Kevin Regan +9
Large recommendation models (LRMs) are fundamental to the multi-billion dollar online advertising industry, processing massive datasets of hundreds of billions of examples before t…
UniReg: A Universal Model for Controllable CT Image Registration
Zi Li, Jianpeng Zhang, Tai Ma +7
Learning-based medical image registration has matched the accuracy of conventional methods while offering superior computational efficiency. However, existing approaches suffer fro…
Domain adaptation of large language models for geotechnical applications
Lei Fan, Fangxue Liu, Cheng Chen
The rapid advancement of large language models (LLMs) is transforming opportunities in geotechnical engineering, where workflows rely on complex, text-rich data. While general-purp…
A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers
Meng Wang, Tian Lin, Qingshan Hou +37
Artificial intelligence (AI) shows remarkable potential in medical imaging diagnostics, yet most current models require retraining when applied across different clinical settings,…
Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model
Meng Wang, Tian Lin, Aidi Lin +46
Previous foundation models for fundus images were pre-trained with limited disease categories and knowledge base. Here we introduce a knowledge-rich vision-language model (RetiZero…
Toward Autonomous Long-Horizon Engineering for ML Research
Guoxin Chen, Jie Chen, Lei Chen +7
Agentic systems increasingly automate pieces of AI research. Yet turning underspecified research objectives into runnable, experimentally validated ML systems remains a central bot…
HyMiRec: A Hybrid Multi-interest Learning Framework for LLM-based Sequential Recommendation
Jingyi Zhou, Cheng Chen, Kai Zuo +5
Large language models (LLMs) have recently demonstrated strong potential for sequential recommendation. However, current LLM-based approaches face critical limitations in modeling…
Non-tempered Gan-Gross-Prasad conjecture for Archimedean general linear groups
Cheng Chen, Rui Chen
The local non-tempered Gan-Gross-Prasad conjecture suggests that, for a pair of irreducible Arthur type representations of two successive general linear groups, they have a non-zer…
Sourcerer's Apprentice and the study of code snippet migration
Stephen Romansky, Cheng Chen, Baljeet Malhotra +1
On the worldwide web, not only are webpages connected but source code is too. Software development is becoming more accessible to everyone and the licensing for software remains co…
Mott insulating phase and coherent-incoherent crossover across magnetic phase transition in 2D antiferromagnetic CrSBr
Fan Wu, Xuefeng Zhang, Yi Chen +15
In two-dimensional van der Waals magnetic materials, the interplay between magnetism and electron correlation can give rise to new ground states and lead to novel transport and opt…
Anomalous quantum Griffiths singularity in ultrathin crystalline lead films
Yi Liu, Ziqiao Wang, Pujia Shan +9
We study the magnetic field induced superconductor-metal transition (SMT) in ultrathin crystalline Pb films. By performing ultralow temperature transport measurement, the divergent…
Multi-rate adaptive transform coding for video compression
Lyndon R. Duong, Bohan Li, Cheng Chen +1
Contemporary lossy image and video coding standards rely on transform coding, the process through which pixels are mapped to an alternative representation to facilitate efficient d…
Asteroid belt survival through stellar evolution: dependence on the stellar mass
Rebecca G. Martin, Mario Livio, Jeremy L. Smallwood +1
Polluted white dwarfs are generally accreting terrestrial-like material that may originate from a debris belt like the asteroid belt in the solar system. The fraction of white dwar…
DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations
Elena Khasanova, Harsh Saini, Md Tahmid Rahman Laskar +3
The rapid advancements in Large Language Models (LLMs) have enabled their adoption in real-world industrial scenarios for various natural language processing tasks. However, the hi…
A Technical Overview of AV1
Jingning Han, Bohan Li, Debargha Mukherjee +12
The AV1 video compression format is developed by the Alliance for Open Media consortium. It achieves more than 30% reduction in bit-rate compared to its predecessor VP9 for the sam…
Buyer to Seller Recommendation under Constraints
Cheng Chen, Lan Zheng, Venkatesh Srinivasan +3
The majority of recommender systems are designed to recommend items (such as movies and products) to users. We focus on the problem of recommending buyers to sellers which comes wi…
Nash's Existence Theorem for Non-compact Strategy Sets
Xinyu Zhang, Cheng Chen, Chunyan Yang
This paper generalizes the Fan-Knaster-Kuratowski-Mazurkiewicz (FKKM) lemma to the case of weak topology, and obtains the Ky Fan minimax inequality defined on non-empty non-compact…
Elucidating Rectified Flow with Deterministic Sampler: Polynomial Discretization Complexity for Multi and One-step Models
Ruofeng Yang, Zhaoyu Zhu, Bo Jiang +2
Recently, rectified flow (RF)-based models have achieved state-of-the-art performance in many areas for both the multi-step and one-step generation. However, only a few theoretical…
Molecular dynamics simulations of interaction between a super edge dislocation and interstitial dislocation loops in irradiated L12-Ni3Al
Cheng Chen, Dongyang Qin, Yiding Wang +2
The study employed MD simulations to investigate the interactions between a <110> super-edge dislocation, consisting of the four Shockley partials, and interstitial dislocation loo…
Domain-specific Question Answering with Hybrid Search
Dewang Sultania, Zhaoyu Lu, Twisha Naik +11
Domain specific question answering is an evolving field that requires specialized solutions to address unique challenges. In this paper, we show that a hybrid approach combining a…
Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals
Cheng Chen, Haiyan Yin, Ivor Tsang
Large Language Models (LLMs), when paired with prompt-based tasks, have significantly reduced data annotation costs and reliance on human annotators. However, evaluating the qualit…
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss
Qi Dou, Cheng Ouyang, Cheng Chen +2
Convolutional networks (ConvNets) have achieved great successes in various challenging vision tasks. However, the performance of ConvNets would degrade when encountering the domain…
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency
Guansong Lu, Zhiming Zhou, Jian Shen +3
Recent advances in large-scale optimal transport have greatly extended its application scenarios in machine learning. However, existing methods either not explicitly learn the tran…
ViSA: 3D-Aware Video Shading for Real-Time Upper-Body Avatar Creation
Fan Yang, Heyuan Li, Peihao Li +9
Generating high-fidelity upper-body 3D avatars from one-shot input image remains a significant challenge. Current 3D avatar generation methods, which rely on large reconstruction m…
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
Cheng Chen, Yuhong Wang, Nafis S Munir +2
Autonomous driving systems (ADS) increasingly rely on deep learning-based perception models, which remain vulnerable to adversarial attacks. In this paper, we revisit adversarial a…
Can Post-Training Quantization Benefit from an Additional QLoRA Integration?
Xiliang Zhu, Elena Khasanova, Cheng Chen
Large language models (LLMs) have transformed natural language processing but pose significant challenges for real-world deployment. These models necessitate considerable computing…
Dealing with All-stage Missing Modality: Towards A Universal Model with Robust Reconstruction and Personalization
Yunpeng Zhao, Cheng Chen, Qing You Pang +4
Addressing missing modalities presents a critical challenge in multimodal learning. Current approaches focus on developing models that can handle modality-incomplete inputs during…
Continuous Symmetry Breaking in a Two-dimensional Rydberg Array
Cheng Chen, Guillaume Bornet, Marcus Bintz +13
Spontaneous symmetry breaking underlies much of our classification of phases of matter and their associated transitions. The nature of the underlying symmetry being broken determin…
The Impact of Unlicensed Access on Small-Cell Resource Allocation
Cheng Chen, Randall A. Berry, Michael L. Honig +1
Small cells deployed in licensed spectrum and unlicensed access via WiFi provide different ways of expanding wireless services to low mobility users. That reduces the demand for co…
Massive 1D Dirac Line, Solitons and Reversible Manipulation on the Surface of a Prototype Obstructed Atomic Insulator, Silicon
Zhongkai Liu, Peng Deng, Yuanfeng Xu +16
Topologically trivial insulators can be classified into atomic insulators (AIs) and obstructed atomic insulators (OAIs) depending on whether the Wannier charge centers are localize…
Adversary-Aware Partial label learning with Label distillation
Cheng Chen, Yueming Lyu, Ivor W. Tsang
To ensure that the data collected from human subjects is entrusted with a secret, rival labels are introduced to conceal the information provided by the participants on purpose. Th…
Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models
Haoran Ding, Wenlin Zhao, Yuchen Jiang +16
Large recommendation models have demonstrated substantial potential gains under scaling laws, yet these gains are difficult to realize in industrial recommendation systems because…
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
Haoran Deng, Yang Yang, Jiahe Li +3
Updating a truncated Singular Value Decomposition (SVD) is crucial in representation learning, especially when dealing with large-scale data matrices that continuously evolve in pr…
Status of the muEDM experiment at PSI
Kim Siang Khaw, Cheng Chen, Massimo Giovannozzi +7
Permanent electric dipole moments (EDMs) are excellent probes of physics beyond the Standard Model, especially on new sources of CP violation. The muon EDM has recently attracted s…
ET White Paper: To Find the First Earth 2.0
Jian Ge, Hui Zhang, Weicheng Zang +163
We propose to develop a wide-field and ultra-high-precision photometric survey mission, temporarily named "Earth 2.0 (ET)". This mission is designed to measure, for the first time,…
The electromagnetic form factors of and transition in the timelike region
Cheng Chen, Bing Yan, Bing-Wei Long +1
We investigate the and reactions within the extended vector meson dominance model. In addition to the ground state mesons and ,…
HTPO: Towards Exploration-Exploitation Balanced Policy Optimization via Hierarchical Token-level Objective Control
Xincheng Yao, Ruoqi Li, Cheng Chen +4
Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a pivotal technique for enhancing the reasoning capabilities of Large Language Models (LLMs). However, the de f…
Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting
Wenjie Ou, Zhishuo Zhao, Cheng Chen +2
Time series forecasting is critical across multiple domains, where time series data exhibit both local patterns and global dependencies. While Transformer-based methods effectively…
Cascading Bandits Robust to Adversarial Corruptions
Jize Xie, Cheng Chen, Zhiyong Wang +1
Online learning to rank sequentially recommends a small list of items to users from a large candidate set and receives the users' click feedback. In many real-world scenarios, user…
Role of exchange in the reaction
Hao-Nan Wang, Cheng Chen, Xing-Yi Ji +4
The paper uses an effective Lagrangian model to study the antiproton‑proton → Λ Λ̄ reaction, showing that t‑channel exchange of the scalar meson K*_0(700) together with s‑channel v…
Beyond Reconstruction: Reconstruction-to-Vector Diffusion for Hyperspectral Anomaly Detection
Jijun Xiang, Tao Wang, Jiayi Wang +3
While Hyperspectral Anomaly Detection (HAD) excels at identifying sparse targets in complex scenes, existing models remain trapped in a scalar "reconstruction-as-endpoint" paradigm…
Fourier transform and endoscopic transfer on real Lie algebras
Cheng Chen, Zhilin Luo
We prove that the endoscopic transfer on real Lie algebras exists and commutes with the Fourier transform, using methods that are purely local.
Observation of Dimension-Crossover of a Tunable 1D Dirac Fermion in Topological Semimetal NbSiTe
Jing Zhang, Yangyang Lv, Xiaolong Feng +11
Condensed matter systems in low dimensions exhibit emergent physics that does not exist in three dimensions. When electrons are confined to one dimension (1D), some significant ele…
Topology hierarchy of transition metal dichalcogenides built from quantum spin Hall layers
Lixuan Xu, Yiwei Li, Yuqiang Fang +15
The evolution of the physical properties of two-dimensional material from monolayer limit to the bulk reveals unique consequences from dimension confinement and provides a distinct…
Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop
Md Tahmid Rahman Laskar, Cheng Chen, Xue-Yong Fu +1
Telephone transcription data can be very noisy due to speech recognition errors, disfluencies, etc. Not only that annotating such data is very challenging for the annotators, but a…
Towards Redundancy-Free Sub-networks in Continual Learning
Cheng Chen, Jingkuan Song, LianLi Gao +1
Catastrophic Forgetting (CF) is a prominent issue in continual learning. Parameter isolation addresses this challenge by masking a sub-network for each task to mitigate interferenc…
Approaching a Minimal Topological Electronic Structure in Antiferromagnetic Topological Insulator MnBi2Te4 via Surface Modification
Aiji Liang, Cheng Chen, Huijun Zheng +12
The topological electronic structure plays a central role in the non-trivial physical properties in topological quantum materials. A minimal, hydrogen-atom-like topological electro…
gMatch: Fine-Grained and Hardware-Efficient Subgraph Matching on GPUs
Weitian Chen, Shixuan Sun, Cheng Chen +3
Subgraph matching is a core operation in graph analytics, supporting a broad spectrum of applications from social network analysis to bioinformatics. Recent GPU-based approaches ac…
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Cheng Chen, Qi Dou, Yueming Jin +3
Accurate medical image segmentation commonly requires effective learning of the complementary information from multimodal data. However, in clinical practice, we often encounter th…
Elimination Templates in Macaulay2
Manav Batavia, Cheng Chen, Anna Natalie Chlopecki +4
We introduce the package \texttt{EliminationTemplates} for the Macaulay2 computer algebra system, which provides tools for constructing automatic solvers for families of zero-dimen…
Autonomous Chain-of-Thought Distillation for Graph-Based Fraud Detection
Yuan Li, Jun Hu, Bryan Hooi +2
Graph-based fraud detection on text-attributed graphs (TAGs) requires jointly modeling rich textual semantics and relational dependencies. However, existing LLM-enhanced GNN approa…
Photoelectron superlubricity
Cheng Chen, Zhixin Zhang, Fan Lei +3
Superlubricity, a state where friction between two contact surfaces is nearly zero, has a great potential to revolutionize various mechanical systems by significantly reducing ener…
Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective
Md Tahmid Rahman Laskar, Xue-Yong Fu, Cheng Chen +1
This paper studies how to effectively build meeting summarization systems for real-world usage using large language models (LLMs). For this purpose, we conduct an extensive evaluat…
Radiology-Llama2: Best-in-Class Large Language Model for Radiology
Zhengliang Liu, Yiwei Li, Peng Shu +18
This paper introduces Radiology-Llama2, a large language model specialized for radiology through a process known as instruction tuning. Radiology-Llama2 is based on the Llama2 arch…
5 Gbps Optical Wireless Communication Using Commercial SPAD Array Receivers
Shenjie Huang, Cheng Chen, Rui Bian +2
Photon counting detectors such as single-photon avalanche diode (SPAD) arrays can be utilized to improve the sensitivity of optical wireless communication (OWC) systems. However, t…
Role of electron-phonon coupling in excitonic insulator candidate Ta2NiSe5
Cheng Chen, Xiang Chen, Weichen Tang +15
Electron-hole bound pairs, or excitons, are common excitations in semiconductors. They can spontaneously form and ``condense'' into a new insulating ground state -- the so-called e…
Electronic Origin of Half-metal to Semiconductor Transition and Colossal Magnetoresistance in Spinel HgCr2Se4
Aiji Liang, Zhilin Li, Shihao Zhang +13
Half-metals are ferromagnets hosting spin-polarized conducting carriers and crucial for spintronics applications. The chromium spinel HgCr2Se4 represents a unique type of half-meta…
SynerMedGen: Synergizing Medical Multimodal Understanding with Generation via Task Alignment
Weiren Zhao, Yi Dong, Cheng Chen
Unifying multimodal understanding and generation is a compelling frontier that is beginning to emerge in the medical field. However, the limited existing unified medical models typ…
Late Delivery of Nitrogen to Earth
Cheng Chen, Jeremy L. Smallwood, Rebecca G. Martin +1
Atmospheric nitrogen may be a necessary ingredient for the habitability of a planet since its presence helps to prevent water loss from a planet. The present day nitrogen isotopic…
SAMTok: Representing Any Mask with Two Words
Yikang Zhou, Tao Zhang, Dengxian Gong +13
Pixel-wise capabilities are essential for building interactive intelligent systems. However, pixel-wise multi-modal LLMs (MLLMs) remain difficult to scale due to complex region-lev…
Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience
Zicheng Hu, Yuchen Wang, Cheng Chen
Decentralized cooperative multi-agent multi-armed bandits (DeCMA2B) considers how multiple agents collaborate in a decentralized multi-armed bandit setting. Though this problem has…
Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model
Qinfeng Zhu, Yuanzhi Cai, Yuan Fang +4
High-resolution remotely sensed images pose a challenge for commonly used semantic segmentation methods such as Convolutional Neural Network (CNN) and Vision Transformer (ViT). CNN…
Atomic line defects and zero-energy end states in monolayer Fe(Te,Se) high-temperature superconductors
Cheng Chen, Kun Jiang, Yi Zhang +4
Majorana zero-energy bound states (ZEBSs) have been proposed to exist at the ends of one-dimensional Rashba nanowires proximity-coupled to an s-wave superconductor in an external m…
Multi-Subspace Multi-Modal Modeling for Diffusion Models: Estimation, Convergence and Mixture of Experts
Ruofeng Yang, Yongcan Li, Bo Jiang +2
Recently, diffusion models have achieved a great performance with a small dataset of size and a fast optimization process. However, the estimation error of diffusion models suf…
Selection of contributing factors for predicting landslide susceptibility using machine learning and deep learning models
Cheng Chen, Lei Fan
Landslides are a common natural disaster that can cause casualties, property safety threats and economic losses. Therefore, it is important to understand or predict the probability…
BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations
Md Tahmid Rahman Laskar, Cheng Chen, Aliaksandr Martsinovich +4
An Entity Linking system aligns the textual mentions of entities in a text to their corresponding entries in a knowledge base. However, deploying a neural entity linking system for…
Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation
Cheng Chen, Yichun Yin, Lifeng Shang +4
Task-agnostic knowledge distillation, a teacher-student framework, has been proved effective for BERT compression. Although achieving promising results on NLP tasks, it requires en…
An ultrasonic transducer for vibration mode conversion of wedge-shaped structure of acoustic black hole
Yi Wang, Cheng Chen, Shuyu Lin
Acoustic black hole (ABH) structure has been extensively employed in applications such as vibration mitigation, noise reduction, and energy harvesting, owing to its unique sound wa…
New-Generation Design-Technology Co-Optimization (DTCO): Machine-Learning Assisted Modeling Framework
Zhe Zhang, Runsheng Wang, Cheng Chen +6
In this paper, we propose a machine-learning assisted modeling framework in design-technology co-optimization (DTCO) flow. Neural network (NN) based surrogate model is used as an a…
Multiplicity formula for induced representations: Bessel and Fourier-Jacobi models over Archimedean local fields
Cheng Chen
This article proves a formula relating the multiplicity of an induced representation and that of the inducing datum for the Bessel and the Fourier-Jacobi models over Archimedean lo…