Publications (418)
Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing
Bo Chen, Le Sun, Xianpei Han
This paper proposes a neural semantic parsing approach -- Sequence-to-Action, which models semantic parsing as an end-to-end semantic graph generation process. Our method simultane…
Full-scale ab initio simulations of laser-driven atomistic dynamics
Qiyu Zeng, Bo Chen, Shen Zhang +4
The coupling of excited states and ionic dynamics is the basic and challenging point for the materials response at extreme conditions. In laboratory, the intense laser produces tra…
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing
Zequn Zeng, Hao Zhang, Zhengjue Wang +3
Zero-shot capability has been considered as a new revolution of deep learning, letting machines work on tasks without curated training data. As a good start and the only existing o…
CDT-Dijkstra: Fast Planning of Globally Optimal Paths for All Points in 2D Continuous Space
Jinyuan Liu, Minglei Fu, Wenan Zhang +3
The Dijkstra algorithm is a classic path planning method, which in a discrete graph space, can start from a specified source node and find the shortest path between the source node…
ChemDFM-X: Towards Large Multimodal Model for Chemistry
Zihan Zhao, Bo Chen, Jingpiao Li +10
Rapid developments of AI tools are expected to offer unprecedented assistance to the research of natural science including chemistry. However, neither existing unimodal task-specif…
Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation
Jingtong Gao, Bo Chen, Menghui Zhu +6
Click-Through Rate (CTR) prediction is a fundamental technique in recommendation and advertising systems. Recent studies have shown that implementing multi-scenario recommendations…
CAPTS: Channel-Aware, Preference-Aligned Trigger Selection for Multi-Channel Item-to-Item Retrieval
Xiaoyou Zhou, Yuqi Liu, Zhao Liu +4
Large-scale industrial recommender systems commonly adopt multi-channel retrieval for candidate generation, combining direct user-to-item (U2I) retrieval with two-hop user-to-item-…
Lightweight design and analysis of optical cover plate for exoplanet imaging coronagraph
Lingyi Kong, Mingming Xu, Wei Guo +3
In order to reduce the load mass and solve the problem that the aluminum alloy optical cover plate of exoplanet imaging coronagraph was easy to deform, based on the equal generatio…
Kalman-Like Filter under Binary Sensors
Zhongyao Hu, Bo Chen, Yuchen Zhang +1
This paper is concerned with the linear/nonlinear Kalman-like filtering problem under binary sensors. Since innovation represents new information in the sensor measurement and serv…
Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
Rodrigo Hernangómez, Alexandros Palaios, Cara Watermann +13
This paper presents two wireless measurement campaigns in industrial testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial Vehicle-to-infrastructure plus Sensor (iV2I+), to…
Atomistic Mechanism of Phase Transition in Shock Compressed Gold Revealed by Deep Potential
Bo Chen, Qiyu Zeng, Han Wang +4
A detailed understanding of the material response to rapid compression is challenging and demanding. For instance, the element gold under dynamic compression exhibits complex phase…
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
Jianghao Lin, Bo Chen, Hangyu Wang +7
Click-through rate (CTR) prediction has become increasingly indispensable for various Internet applications. Traditional CTR models convert the multi-field categorical data into ID…
MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation
Rong Shan, Aofan Yu, Bo Chen +7
Recommender systems (RecSys) are increasingly emphasizing scaling, leveraging larger architectures and more interaction data to improve personalization. Yet, despite the optimizer'…
Long-horizon prediction of three-dimensional wall-bounded turbulence with CTA-Swin-UNet and resolvent analysis
Bo Chen, Yitong Fan, Jie Yao +1
Long-horizon prediction of three-dimensional (3D) wall-bounded turbulence with machine-learning methods remains a challenging task, due to the rapid accumulation of autoregressive…
Design and dynamics experiment of filter wheel mechanism of space coronagraph
Wei Guo, Jiangpei Dou, Mingming Xu +4
In order to realize multi-spectral imaging of space coronagraph, a compact filter wheel mechanism is designed. The filters with different spectral transmittance can be cut into the…
Causal mediation analysis decomposition of between-hospital variance
Bo Chen, Keith A. Lawson, Antonio Finelli +1
Causal variance decompositions for a given disease-specific quality indicator can be used to quantify differences in performance between hospitals or health care providers. While v…
The Lifecycle and Cascade of WeChat Social Messaging Groups
Jiezhong Qiu, Yixuan Li, Jie Tang +5
Social instant messaging services are emerging as a transformative form with which people connect, communicate with friends in their daily life - they catalyze the formation of soc…
Quantum Game with Restricted Matrix Strategies
Bo Chen, Ying-Jun Ma, Gui Lu Long
We study a quantum game played by two players with restricted multiple strategies. It is found that in this restricted quantum game Nash equilibrium does not always exist when the…
Enhanced Sequential Covariance Intersection Fusion
Zhongyao Hu, Bo Chen, Wen-An Zhang +1
This paper is concerned with the sequential covariance intersection (CI) fusion problem that the fusion result is independent of fusion structure including the fusion order and the…
MPC for Energy Efficient HVAC Control with Humidity and Latent Heat Considerations
Naren Srivaths Raman, Karthikeya Devaprasad, Bo Chen +2
Even though energy efficient climate control of buildings using model predictive control (MPC) has been widely investigated, most MPC formulations ignore humidity and latent heat.…
Provable Failure of Language Models in Learning Majority Boolean Logic via Gradient Descent
Bo Chen, Zhenmei Shi, Zhao Song +1
Recent advancements in Transformer-based architectures have led to impressive breakthroughs in natural language processing tasks, with models such as GPT-4, Claude, and Gemini demo…
The Hidden Nematic Fluctuations in the Triclinic (Ca0.85La0.15)10(Pt3As8)(Fe2As2)5 Superconductor Revealed by Ultrafast Optical Spectroscopy
Qi-Yi Wu, Chen Zhang, Ze-Zhong Li +13
We reported the quasiparticle relaxation dynamics of an optimally doped triclinic iron-based superconductor (CaLa)(PtAs)(FeAs) with bul…
Covariance-Intersection-based Distributed Kalman Filtering: Stability Problems Revisited
Zhongyao Hu, Bo Chen, Chao Sun +1
This paper studies the stability of covariance-intersection (CI)-based distributed Kalman filtering in time-varying systems. For the general time-varying case, a relationship betwe…
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation
Jiachen Zhu, Jianghao Lin, Xinyi Dai +6
We primarily focus on the field of large language models (LLMs) for recommendation, which has been actively explored recently and poses a significant challenge in effectively enhan…
Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning
Dandan Guo, Ruiying Lu, Bo Chen +2
Observing a set of images and their corresponding paragraph-captions, a challenging task is to learn how to produce a semantically coherent paragraph to describe the visual content…
FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction
Hangyu Wang, Jianghao Lin, Xiangyang Li +5
Click-through rate (CTR) prediction plays as a core function module in various personalized online services. The traditional ID-based models for CTR prediction take as inputs the o…
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang, Andrew Howard, Bo Chen +5
This work proposes an algorithm, called NetAdapt, that automatically adapts a pre-trained deep neural network to a mobile platform given a resource budget. While many existing algo…
Electronic Nematicity Revealed by Polarized Ultrafast Spectroscopy in Bilayer LaNiO
Qi-Yi Wu, De-Yuan Hu, Chen Zhang +14
We report a polarized ultrafast pump-probe study of the normal-state electronic dynamics in bilayer LaNiO and trilayer LaNiO single crystals at ambient p…
Scaling Attention via Feature Sparsity
Yan Xie, Tiansheng Wen, Tangda Huang +4
Scaling Transformers to ultra-long contexts is bottlenecked by the cost of self-attention. Existing methods reduce this cost along the sequence axis through local window…
A new family of Markov branching trees: the alpha-gamma model
Bo Chen, Daniel Ford, Matthias Winkel
We introduce a simple tree growth process that gives rise to a new two-parameter family of discrete fragmentation trees that extends Ford's alpha model to multifurcating trees and…
DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark
Ruofan Hu, Menghui Zhu, Jieming Zhu +8
Multimodal documents contain diverse elements, such as tables, figures, and layouts, which can complicate retrieval tasks. While current approaches typically combine dense visual e…
The number of the Gabriel-Roiter measures admitting no direct predecessors over a wild quiver
Bo Chen
A famous result by Drozd says that a finite-dimensional representation-infinite algebra is of either tame or wild representation type. But one has to make assumption on the ground…
Quantifying the Sources of Instability in LLM-Based Stance Analysis of Public Discourse
Bo Chen
Computational social science increasingly relies on automated preprocessing pipelines -- speaker diarization, ASR transcript cleaning, sentence segmentation -- to convert raw media…
Beyond Spectral Decomposition: Bayesian Contrastive Learning and its Non-negative Formulation via Factor Analysis
Zhibin Duan, Tiansheng Wen, Yifei Wang +3
Factor analysis, often regarded as a Bayesian variant of matrix factorization, offers superior capabilities in capturing uncertainty, modeling complex dependencies, and ensuring ro…
Local well-posedness of the Schrödinger flow into with natural boundary conditions
Bo Chen, Youde Wang
In this paper, we develop a new approximation scheme to solve the local well-posedness problem for the Schrödinger flow into the standard unit 2-sphere $\mathbb{S}^2\subset\mathbb…
SITA: Semantic Interest Tokens for Target-Aware Compression in Long-Sequence Recommendation
Rui Zhou, Bo Chen, Qinglin Jia +5
As user behavior histories continue to grow on modern Internet platforms, effectively modeling long behavior sequences has become crucial for predicting user interests in candidate…
A direct sampling method based on the Green's function for time-dependent inverse scattering problems
Qingqing Yu, Bo Chen, Jiaru Wang +1
This paper concerns the numerical simulation of time domain inverse acoustic scattering problems with a point-like scatterer, multiple point-like scatterers or normal size scattere…
FastRef:Fast Prototype Refinement for Few-Shot Industrial Anomaly Detection
Long Tian, Yufei Li, Yuyang Dai +3
Few-shot industrial anomaly detection (FS-IAD) presents a critical challenge for practical automated inspection systems operating in data-scarce environments. While existing approa…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
A new post-hoc flat field measurement method for the Solar X-ray and Extreme Ultraviolet Imager onboard the Fengyun-3E satellite
Qiao Song, Xianyong Bai, Bo Chen +13
The extreme ultraviolet (EUV) observations are widely used in solar activity research and space weather forecasting since they can observe both the solar eruptions and the source r…
Bayesian Attention Belief Networks
Shujian Zhang, Xinjie Fan, Bo Chen +1
Attention-based neural networks have achieved state-of-the-art results on a wide range of tasks. Most such models use deterministic attention while stochastic attention is less exp…
FINED: Feed Instance-Wise Information Need with Essential and Disentangled Parametric Knowledge from the Past
Kounianhua Du, Jizheng Chen, Jianghao Lin +5
Recommender models play a vital role in various industrial scenarios, while often faced with the catastrophic forgetting problem caused by the fast shifting data distribution. To a…
Angle-resolved photoemission spectroscopy study of the charge density wave order in layered semiconductor EuTe4
Chen Zhang, Qi-Yi Wu, Ya-Hua Yuan +18
Layered tellurides have been extensively studied as a platform for investigating the Fermi surface (FS) nesting-driven charge density wave (CDW) states. EuTe4, one of quasi-two-dim…
Towards Mitigation of Hallucination for LLM-empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor
Siyuan Liu, Wenjing Liu, Zhiwei Xu +3
Empowered by large language models (LLMs), intelligent agents have become a popular paradigm for interacting with open environments to facilitate AI deployment. However, hallucinat…
Probing-Guided Layer Selection from Self-Supervised Speech Models for Generalizable Audio Deepfake Detection
Marjan Beheshti, Majid Rostami, Bo Chen
Audio deepfake detection systems often fail to generalize across domains because they rely on features tied to specific attacks or recording conditions. Self-supervised speech mode…
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining
Fanjin Zhang, Shijie Shi, Yifan Zhu +19
With the rapid proliferation of scientific literature, versatile academic knowledge services increasingly rely on comprehensive academic graph mining. Despite the availability of p…
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models
Yunjia Xi, Weiwen Liu, Jianghao Lin +5
The rise of large language models (LLMs) has opened new opportunities in Recommender Systems (RSs) by enhancing user behavior modeling and content understanding. However, current a…
Deformation mechanisms and compressive response of NbTaTiZr alloy via machine learning potentials
Hongyang Liu, Bo Chen, Rong Chen +2
Refractory multi-principal element alloys (MPEAs) are key research focus for excellent high-temp properties and engineering potential. Deformation mechanisms/mechanical behaviors o…
Variational Temporal Deep Generative Model for Radar HRRP Target Recognition
Dandan Guo, Bo Chen, Wenchao Chen +3
We develop a recurrent gamma belief network (rGBN) for radar automatic target recognition (RATR) based on high-resolution range profile (HRRP), which characterizes the temporal dep…
DIET: Learning to Distill Dataset Continually for Recommender Systems
Jiaqing Zhang, Hao Wang, Mingjia Yin +6
Modern deep recommender models are trained under a continual learning paradigm, relying on massive and continuously growing streaming behavioral logs. In large-scale platforms, ret…
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Rong Shan, Jiachen Zhu, Jianghao Lin +5
In this paper, we address the lifelong sequential behavior incomprehension problem in large language models (LLMs) for recommendation, where LLMs struggle to extract useful informa…
Developing ChemDFM as a large language foundation model for chemistry
Zihan Zhao, Da Ma, Lu Chen +11
Artificial intelligence (AI) has played an increasingly important role in chemical research. However, most models currently used in chemistry are specialist models that require tra…
Convex hulls of face-vertex incident vectors of 3-colorable polytopes
Bo Chen, Chen Peng, Yueshan Xiong
The convex hulls of face-vertex incident vectors of 3-face-colorable convex polytopes are computed. It is found that every such convex hull is a -polytope with or ve…
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Jianghao Lin, Rong Shan, Chenxu Zhu +6
With large language models (LLMs) achieving remarkable breakthroughs in natural language processing (NLP) domains, LLM-enhanced recommender systems have received much attention and…
Median-of-Means for Nash Equilibrium Seeking in Heavy-Tailed Games
Chao Sun, Huiming Zhang, Bo Chen +3
This paper studies the Nash equilibrium seeking problem for stochastic games under heavy-tailed noise. The gradient noise is considered to have a finite -th moment (…
On the Secrecy Unicast Throughput Performance of NOMA Assisted Multicast-Unicast Streaming With Partial Channel Information
Bo Chen, Qingjiang Shi, Yunlong Cai +1
This paper considers a downlink single-cell non-orthogonal multiple access (NOMA) network with uniformly deployed users, while a mixed multicast and unicast traffic scenario is tak…
Dimension vectors in regular components over wild Kronecker quivers
Bo Chen
Let be the so-called wild Kronecker quiver, i.e., a quiver with one source and one sink and arrows from the source to the sink. The following problems wil…
xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein
Bo Chen, Xingyi Cheng, Pan Li +12
Protein language models have shown remarkable success in learning biological information from protein sequences. However, most existing models are limited by either autoencoding or…
The Gabriel-Roiter measures and representation type
Bo Chen
Let be an Artin algebra. A GR segment of is a sequence of GR measures which is closed under direct successors and direct predecessors. The number of the GR segments was c…
Group-Theoretic Partial Matrix Multiplication
Richard Strong Bowen, Bo Chen, Hendrik Orem +1
A generalization of recent group-theoretic matrix multiplication algorithms to an analogue of the theory of partial matrix multiplication is presented. We demonstrate that the adde…
CPI-C: Cool Planet Imaging Coronagraph on Chinese Space Station Survey Telescope
Jiangpei Dou, Xi Zhang, Gang Zhao +23
Cool Planet Imaging Coronagraph (CPI-C) on Chinese Space Station Survey Telescope (CSST) is proposed to direct image the cool planets around nearby solar-type stars (within 40 pc).…
BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting
Yuqing Cheng, Bo Chen, Fanjin Zhang +1
From-scratch name disambiguation is an essential task for establishing a reliable foundation for academic platforms. It involves partitioning documents authored by identically name…
Gamma Belief Networks
Mingyuan Zhou, Yulai Cong, Bo Chen
To infer multilayer deep representations of high-dimensional discrete and nonnegative real vectors, we propose an augmentable gamma belief network (GBN) that factorizes each of its…
Comparison and Benchmark of Graph Clustering Algorithms
Lizhen Shi, Bo Chen
Graph clustering is widely used in analysis of biological networks, social networks and etc. For over a decade many graph clustering algorithms have been published, however a compr…
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard, Menglong Zhu, Bo Chen +5
We present a class of efficient models called MobileNets for mobile and embedded vision applications. MobileNets are based on a streamlined architecture that uses depth-wise separa…
Anisotropy and Penetration Depth of MgB from B NMR
Bo Chen, Pratim Sengupta, W. P. Halperin +7
The B NMR spectra in polycrystalline MgB were measured for several magnetic fields (1.97 T and 3.15 T) as a function of temperature from 5 K to 40 K. The composite spe…
Nonlinear Nanophotonic Chip-space Interfaces: On-chip Generation of Structured, Topological and Spatiotemporal Lights Via Nonlinear Äerenkov Radiation
Dunzhao Wei, Bo Chen, Shuai Wan +15
Miniaturized and reconfigurable interfaces between confined optical modes within integrated photonic chips and structured light propagating in free space would serve as a cornersto…
Distributed Estimation for Interconnected Systems with Arbitrary Coupling Structures
Yuchen Zhang, Bo Chen, Li Yu +1
This paper is concerned with the problem of distributed estimation for time-varying interconnected dynamic systems with arbitrary coupling structures. To guarantee the robustness o…
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC
Yulai Cong, Bo Chen, Hongwei Liu +1
It is challenging to develop stochastic gradient based scalable inference for deep discrete latent variable models (LVMs), due to the difficulties in not only computing the gradien…
On the Position Bias of On-Policy Distillation
Yan Xie, Sijie Zhu, Tiansheng Wen +2
On-Policy Distillation (OPD) improves the learning efficiency of standard reinforcement learning through dense, token-level supervision from teachers. In the standard KL objective…
Universal Speed Limit in a Far-from-Equilibrium Bose Gas: Symmetry and Dynamical Decoherence
Jun-Cheng Liang, Bo Chen
Predicting universal transport coefficients in far-from-equilibrium quantum systems remains a fundamental challenge. A paradigmatic example is the non-thermal fixed point (NTFP) of…
Error Estimates for Sparse Optimal Control Problems by Piecewise Linear Finite Element Approximation
Xiaoliang Song, Bo Chen, Bo Yu
Optimization problems with -control cost functional subject to an elliptic partial differential equation (PDE) are considered. However, different from the finite dimensional $…
Reachability under arc crossing changes
Bo Chen, Jinbo Geng, Zerui Wu
Cericola proved that every knot diagram can be transformed into an ascending unknot diagram by arc crossing changes. We refine this result for all diagrams on a fixed R1-reduced cl…
High-Order Matching for One-Step Shortcut Diffusion Models
Bo Chen, Chengyue Gong, Xiaoyu Li +5
One-step shortcut diffusion models [Frans, Hafner, Levine and Abbeel, ICLR 2025] have shown potential in vision generation, but their reliance on first-order trajectory supervision…
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation
Yuxiang Shi, Yue Ding, Bo Chen +4
The cold-start problem is a long-standing challenge in recommender systems due to the lack of user-item interactions, which significantly hurts the recommendation effect over new u…
The Bounded Gaussian Mechanism for Differential Privacy
Bo Chen, Matthew Hale
The Gaussian mechanism is one differential privacy mechanism commonly used to protect numerical data. However, it may be ill-suited to some applications because it has unbounded su…
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
Pengyue Jia, Yejing Wang, Zhaocheng Du +6
Deep Recommender Systems (DRS) are increasingly dependent on a large number of feature fields for more precise recommendations. Effective feature selection methods are consequently…
Anomalously Enhanced Diffusivity of Moiré Excitons via Manipulating the Interplay with Correlated Electrons
Li Yan, Lei Ma, Yuze Meng +13
Semiconducting transitional metal dichalcogenides (TMDCs) moiré superlattice provides an exciting platform for manipulating excitons. The in-situ control of moiré potential confi…
Retrieval-Oriented Knowledge for Click-Through Rate Prediction
Huanshuo Liu, Bo Chen, Menghui Zhu +5
Click-through rate (CTR) prediction is crucial for personalized online services. Sample-level retrieval-based models, such as RIM, have demonstrated remarkable performance. However…
Prediction of turbulent energy based on low-rank resolvent modes and machine learning
Yitong Fan, Bo Chen, Weipeng Li
A modelling framework based on the resolvent analysis and machine learning is proposed to predict the turbulent energy in incompressible channel flows. In the framework, the optima…
FedCore: Straggler-Free Federated Learning with Distributed Coresets
Hongpeng Guo, Haotian Gu, Xiaoyang Wang +5
Federated learning (FL) is a machine learning paradigm that allows multiple clients to collaboratively train a shared model while keeping their data on-premise. However, the stragg…
Distributed Stochastic Optimization for Non-Smooth and Weakly Convex Problems under Heavy-Tailed Noise
Jun Hu, Chao Sun, Bo Chen +2
In existing distributed stochastic optimization studies, it is usually assumed that the gradient noise has a bounded variance. However, recent research shows that the heavy-tailed…
NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception
Congzhang Shao, Quan Yuan, Guiyang Luo +6
Collaborative perception improves task performance by expanding the perception range through information sharing among agents. . Immutable heterogeneity poses a significant challen…
Topological Sweep for Multi-Target Detection of Geostationary Space Objects
Daqi Liu, Bo Chen, Tat-Jun Chin +1
Conducting surveillance of the Earth's orbit is a key task towards achieving space situational awareness (SSA). Our work focuses on the optical detection of man-made objects (e.g.,…
Remote State Estimation with Posterior-Based Stochastic Event-Triggered Schedule
Zhongyao Hu, Bo Chen, Rusheng Wang +1
This paper aims to study the state estimation problem under the stochastic event-triggered (SET) schedule. A posterior-based SET mechanism is proposed, which determines whether to…
Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness
Zijian Wang, Hanqi Li, Ziyue Yang +17
AI systems can increasingly automate scientific workflows, but the reasoning that links prior evidence, generated ideas, experiments and final claims often remains implicit inside…
Ultrafast photoinduced phase transition in the antiferromagnetic Dirac semimetal EuAgAs
Hao Liu, Chen Zhang, Qi-Yi Wu +12
We report the observation of a light-induced subpicosecond phase transition in the antiferromagnetic Dirac semimetal EuAgAs, achieved through ultrafast optical excitation. Using ul…
CTRL: Connect Collaborative and Language Model for CTR Prediction
Xiangyang Li, Bo Chen, Lu Hou +1
Traditional click-through rate (CTR) prediction models convert the tabular data into one-hot vectors and leverage the collaborative relations among features for inferring the user'…
Hierarchical causal variance decomposition for institution and provider comparisons in healthcare
Bo Chen, Olli Saarela
Disease-specific quality indicators (QIs) are used to compare institutions and health care providers in terms processes or outcomes relevant to treatment of a particular condition.…
Knowledge-Aware Bayesian Deep Topic Model
Dongsheng Wang, Yishi Xu, Miaoge Li +4
We propose a Bayesian generative model for incorporating prior domain knowledge into hierarchical topic modeling. Although embedded topic models (ETMs) and its variants have gained…
Enhanced Piezoelectric Response in Hybrid Lead Halide Perovskite Thin Films via Interfacing with Ferroelectric PbZrTiO
Jingfeng Song, Zhiyong Xiao, Bo Chen +4
We report a more than 10-fold enhancement of the piezoelectric coefficient of polycrystalline CHNHPbI (MAPbI) films when interfacing them with ferroelectri…
Quantum correlations in bulk properties of solids obtained from neutron scattering
Ben-Qiong Liu, Lian-Ao Wu, Guo-Mo Zeng +6
We demonstrate that inelastic neutron scattering technique can be used to indirectly detect and measure the macroscopic quantum correlations quantified by both entanglement and dis…
Regular modules with preprojective Gabriel-Roiter submodules over -Kronecker quivers
Bo Chen
Let be a wild -Kronecker quiver, i.e., a quiver with two vertices, labeled by 1 and 2, and arrows from 2 to 1. The indecomposable regular modules with preprojectiv…
Ultrafast Optical Evidence of Coexisting Density Waves in Bilayer Nickelate LaNiO
Qi-Yi Wu, De-Yuan Hu, Chen Zhang +13
Utilizing ultrafast optical pump-probe spectroscopy, we investigate the coexistence and competition of electronic orders in the bilayer nickelate LaNiO. Our results rev…
MQE: Unleashing the Power of Interaction with Multi-agent Quadruped Environment
Ziyan Xiong, Bo Chen, Shiyu Huang +3
The advent of deep reinforcement learning (DRL) has significantly advanced the field of robotics, particularly in the control and coordination of quadruped robots. However, the com…
Coexistence of Ferromagnetism and Topology by Charge Carrier Engineering in intrinsic magnetic topological insulator MnBi4Te7
Bo Chen, Fucong Fei, Dinghui Wang +11
Intrinsic magnetic topological insulators (MTIs) MnBi2Te4 and MnBi2Te4/(Bi2Te3)n are expected to realize the high-temperature quantum anomalous Hall effect (QAHE) and dissipationle…
Huber's theorem for manifolds with integrable Ricci curvatures
Bo Chen, Yuxiang Li
In this paper, we generalize Huber's finite point conformal compactification theorem to a higher dimensional manifold, which is conformally compact with integrable…
LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models
Ruiming Tang, Chenxu Zhu, Bo Chen +4
Tagging systems play an essential role in various information retrieval applications such as search engines and recommender systems. Recently, Large Language Models (LLMs) have bee…
Charge Density Wave order and electron-phonon coupling in ternary superconductor BiRhSe
Zi-Teng Liu, Chen Zhang, Qi-Yi Wu +19
The newly discovered ternary chalcogenide superconductor BiRhSe has attracted growing attention, which provides an opportunity to explore the interplay between charge d…
Relocalization of Uranium 5f Electrons in Antiferromagnetic Heavy Fermion Superconductor UPdAl: Insights from Angle-Resolved Photoemission Spectroscopy
Jiao-Jiao Song, Chen Zhang, Qi-Yi Wu +15
We investigate the antiferromagnetic heavy fermion superconductor UPdAl, employing angle-resolved photoemission spectroscopy to unravel the complex electronic structure of…