Publications (64)
Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback
Kejin Liu, Junhong Lian, Xiang Ao +5
Accurate personalized headline generation hinges on precisely capturing user interests from historical behaviors. However, existing methods neglect personalized-irrelevant click no…
Non-line-of-sight imaging with arbitrary relay surface geometries via 3D Gaussian Transient Rendering
Yi Wang, Ziyu Zhan, Yuran Wang +5
Imaging objects hidden outside the direct line of sight expands the effective field of view and is critical for applications such as autonomous driving and robotic perception. Desp…
Ultra-imbalanced classification guided by statistical information
Yin Jin, Ningtao Wang, Ruofan Wu +3
Imbalanced data are frequently encountered in real-world classification tasks. Previous works on imbalanced learning mostly focused on learning with a minority class of few samples…
ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models
Hao Chen, Haoze Li, Zhiqing Xiao +6
Aligning general-purpose large language models (LLMs) to downstream tasks often incurs significant training adjustment costs. Prior research has explored various avenues to enhance…
Photonic Landau levels in a high-dimensional frequency-degenerate cavity
Jing Pan, Zhaoyang Wang, Yuan Meng +3
Topological orders emerge in both microscopic quantum dynamics and macroscopic materials as a fundamental principle to characterize intricate properties in nature with vital signif…
Training deep physical neural networks with local physical information bottleneck
Hao Wang, Ziao Wang, Xiangpeng Liang +8
Deep learning has revolutionized modern society but faces growing energy and latency constraints. Deep physical neural networks (PNNs) are interconnected computing systems that dir…
Sub-MHz Self-Q-switching in Nd:LuAG Laser
Guangju Zhang, Xing Fu, Yijie Shen +1
A compact pulsed Nd:LuAG laser at 1064 nm based on the self-Q-switching technique is reported, having the output power as high as 6.61 W at the incident pump power of 21.32 W, corr…
Wavelet Characterizations of the Atomic Hardy Space on Spaces of Homogeneous Type
Xing Fu, Dachun Yang
Let be a metric measure space of homogeneous type in the sense of R. R. Coifman and G. Weiss and be the atomic Hardy space. Via o…
Wolff potential estimates for elliptic obstacle problems with generalized Orlicz growth
Qi Xiong, Xing Fu
The paper studies elliptic obstacle problems with generalized Orlicz growth and measure data, proving existence of solutions in Musielak‑Orlicz spaces and obtaining gradient estima…
Instruction-aware User Embedding via Synergistic Language and Representation Modeling
Ziyi Gao, Yike Xu, Jiahao Yuan +9
User representation modeling has become increasingly crucial for personalized applications, yet existing approaches struggle with generalizability across domains and sensitivity to…
Coherent ray-wave structured light based on (helical) Ince-Gaussian modes
Zhaoyang Wang, Yijie Shen, Qiang Liu +1
The topological evolution of classic eigenmodes including Hermite-Laguerre-Gaussian and (helical) InceGaussian modes is exploited to construct coherent state modes, which unifies t…
1.1 kW, 100 Hz room-temperature diode-pumped nanosecond laser by water immersion cooling
Xinxing Lei, Suyang Wang, Zichao Wang +3
We report a room-temperature diode-pumped solid-state laser by water immersion cooling, which delivers a pulse energy of 11 J at the repetition rate of 100 Hz and the pulse duratio…
Divergence-degenerated spatial multiplexing towards ultrahigh capacity, low bit-error-rate optical communications
Zhensong Wan, Yijie Shen, Zhaoyang Wang +3
Spatial mode (de)multiplexing of orbital angular momentum (OAM) beams is a promising solution to address future bandwidth issues, but the rapidly increasing divergence with the mod…
Protecting Split Learning by Potential Energy Loss
Fei Zheng, Chaochao Chen, Lingjuan Lyu +5
As a practical privacy-preserving learning method, split learning has drawn much attention in academia and industry. However, its security is constantly being questioned since the…
Products of Functions in and via Wavelets over Spaces of Homogeneous Type
Xing Fu, Dachun Yang, Yiyu Liang
Let be a metric measure space of homogeneous type in the sense of R. R. Coifman and G. Weiss and be the atomic Hardy space. Via o…
A One-Shot Learning Framework for Assessment of Fibrillar Collagen from Second Harmonic Generation Images of an Infarcted Myocardium
Qun Liu, Supratik Mukhopadhyay, Maria Ximena Bastidas Rodriguez +4
Myocardial infarction (MI) is a scientific term that refers to heart attack. In this study, we infer highly relevant second harmonic generation (SHG) cues from collagen fibers exhi…
Multi-Resolution Dynamic Mode Decomposition
J. Nathan Kutz, Xing Fu, Steven L. Brunton
We demonstrate that the integration of the recently developed dynamic mode decomposition (DMD) with a multi-resolution analysis allows for a decomposition method capable of robustl…
Frequency-astigmatism asymmetric nonlinear conversion of structured light lasers
Jing Pan, Hao Wang, Zijian Shi +3
Nonlinear optics of structured light has recently delivered intriguing fundamental physical phenomena in light-matter interactions and advanced applications from classical imaging…
ConMem: Contribution-Aware Memory for Long-Horizon Manufacturing Inspection Logs
Bingchen Liu, Yuanyuan Fang, Lei Liu +6
ConMem is a memory framework that selects and retains the most diagnostically valuable segments of long‑horizon manufacturing inspection logs for LLM‑based analysis, using Shapley‑…
Self-supervision meets kernel graph neural models: From architecture to augmentations
Jiawang Dan, Ruofan Wu, Yunpeng Liu +8
Graph representation learning has now become the de facto standard when handling graph-structured data, with the framework of message-passing graph neural networks (MPNN) being the…
High-dimensional classically entangled light from a laser
Yijie Shen, Isaac Nape, Xilin Yang +4
Vectorially structured light has emerged as an enabling tool in many diverse applications, from communication to imaging, exploiting quantum-like correlations courtesy of a non-sep…
Particle manipulation behind turbid medium based on intensity transmission matrix
Kaige Liu, Hengkang Zhang, Shanshan Du +4
Optical tweezers can manipulate tiny particles. However, the distortion caused by the scattering medium restricts the applications of optical tweezers. Wavefront shaping techniques…
Non-line-of-sight imaging with arbitrary illumination and detection pattern
Xintong Liu, Jianyu Wang, Leping Xiao +3
Non-line-of-sight (NLOS) imaging aims at reconstructing targets obscured from the direct line of sight. Existing NLOS imaging algorithms require dense measurements at rectangular g…
OP-Bench: Benchmarking Over-Personalization for Memory-Augmented Personalized Conversational Agents
Yulin Hu, Zimo Long, Jiahe Guo +5
Memory-augmented conversational agents enable personalized interactions using long-term user memory and have gained substantial traction. However, existing benchmarks primarily foc…
Text-Driven Emotionally Continuous Talking Face Generation
Hao Yang, Yanyan Zhao, Tian Zheng +7
Talking Face Generation (TFG) strives to create realistic and emotionally expressive digital faces. While previous TFG works have mastered the creation of naturalistic facial movem…
Chinese ModernBERT with Whole-Word Masking
Zeyu Zhao, Ningtao Wang, Xing Fu +1
Encoder-only Transformers have advanced along three axes -- architecture, data, and systems -- yielding Pareto gains in accuracy, speed, and memory efficiency. Yet these improvemen…
Classical structured light analogy of quantum squeezed state
Zhaoyang Wang, Ziyu Zhan, Xing Fu +1
Much of the richness in nature arises due to the connection between classical and quantum mechanics. In advanced science, the tools of quantum mechanics was not only applied in mic…
How Do Decoder-Only LLMs Perceive Users? Rethinking Attention Masking for User Representation Learning
Jiahao Yuan, Yike Xu, Jinyong Wen +8
Decoder-only large language models are increasingly used as behavioral encoders for user representation learning, yet the impact of attention masking on the quality of user embeddi…
Fast and Memory-efficient Non-line-of-sight Imaging with Quasi-Fresnel Transform
Yijun Wei, Jianyu Wang, Leping Xiao +3
Non-line-of-sight (NLOS) imaging seeks to reconstruct hidden objects by analyzing reflections from intermediary surfaces. Existing methods typically model both the measurement data…
Structured light analogy of squeezed state
Zhaoyang Wang, Ziyu Zhan, Anton N. Vetlugin +3
Control of structured light is of great importance to explore fundamental physical effects and extend practical scientific applications, which has been advanced by accepting method…
ENPMR-Bench: Benchmarking Proactive Memory Retrieval for Emotional Support Agents
Xing Fu, Yulin Hu, Mengtong Ji +5
Memory-augmented language agents are increasingly deployed in affective applications such as emotional support, where understanding and responding to users' latent emotional needs…
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
Pengfei Shi, Wei Zhong, Xinyu Zhang +4
Estimating the conditional average treatment effects (CATE) is very important in causal inference and has a wide range of applications across many fields. In the estimation process…
Differentially Private Learning with Per-Sample Adaptive Clipping
Tianyu Xia, Shuheng Shen, Su Yao +4
Privacy in AI remains a topic that draws attention from researchers and the general public in recent years. As one way to implement privacy-preserving AI, differentially private le…
Polygonal vortex beams in quasi-frequency-degenerate states
Yijie Shen, Zhensong Wan, Yuan Meng +2
We originally demonstrate the vortex beams with patterns of closed polygons [namely polygonal vortex beams (PVBs)] generated by a quasi-frequency-degenerate (QFD) Yb:CALGO laser re…
3D inhomogeneous self-accelerating beams
Jing Pan, Hao Wang, Yijie Shen +2
We propose and generate a new class of structured light fulfilling quantum-like coherent states based on a set of circular Airy vortex modes. Such coherent-state wave packets posse…
Generalized Fractional Integrals and Their Commutators over Non-homogeneous Metric Measure Spaces
Xing Fu, Dachun Yang, Wen Yuan
Let be a metric measure space satisfying both the upper doubling and the geometrically doubling conditions. In this paper, the authors establish some equivale…
Query as Anchor: Scenario-Adaptive User Representation via Large Language Model
Jiahao Yuan, Yike Xu, Jinyong Wen +9
Industrial-scale user representation learning requires balancing robust universality with acute task-sensitivity. However, existing paradigms primarily yield static, task-agnostic…
CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling
Bichen Wang, Yixin Sun, Junzhe Wang +6
The mismatch between the growing demand for psychological counseling and the limited availability of services has motivated research into the application of Large Language Models (…
Clean-image Backdoor Attacks
Dazhong Rong, Guoyao Yu, Shuheng Shen +6
To gather a significant quantity of annotated training data for high-performance image classification models, numerous companies opt to enlist third-party providers to label their…
Beyond Tree Models: A Hybrid Model of KAN and gMLP for Large-Scale Financial Tabular Data
Mingming Zhang, Jiahao Hu, Pengfei Shi +8
Tabular data plays a critical role in real-world financial scenarios. Traditionally, tree models have dominated in handling tabular data. However, financial datasets in the industr…
Scalable photonic diffractive generators through sampling noises from scattering medium
Ziyu Zhan, Hao Wang, Qiang Liu +1
Photonic computing, with potentials of high parallelism, low latency and high energy efficiency, have gained progressive interest at the forefront of neural network (NN) accelerato…
Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation
Xuechao Zou, Shun Zhang, Xing Fu +6
Controllable face generation poses critical challenges in generative modeling due to the intricate balance required between semantic controllability and photorealism. While existin…
Few-shot Non-line-of-sight Imaging with Signal-surface Collaborative Regularization
Xintong Liu, Jianyu Wang, Leping Xiao +3
The non-line-of-sight imaging technique aims to reconstruct targets from multiply reflected light. For most existing methods, dense points on the relay surface are raster scanned t…
Hybrid topological evolution of multi-singularity vortex beams: Generalized nature for helical-Ince-Gaussian and Hermite-Laguerre-Gaussian modes
Yijie Shen, Yuan Meng, Xing Fu +1
A generalized family of scalar structured Gaussian modes including helical-Ince--Gaussian (HIG) and Hermite--Laguerre--Gaussian (HLG) beams is presented with physical insight upon…
InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring
Hao Yang, Yanyan Zhao, Kewei Zhao +11
The paper presents InCarEmo, a multimodal dataset that combines RGB and infrared video, audio, and dialogue text for in-cabin emotion recognition, fatigue detection, and distractio…
Riesz Transform Characterization and Fefferman-Stein Decomposition of Triebel-Lizorkin Spaces
Xing Fu, Dachun Yang, Qixiang Yang
Let , and be the Euclidean space equipped with the -dimensional Lebesgue measure. In this article, via an auxiliary…
Vector Angular Spectrum Model for light travelling in scattering media
Kaige Liu, Hengkang Zhang, Zeqi Liu +4
Strongly scattering media disrupt both the wavefront distribution and the polarization state of the incident light field. Controlling and effectively utilizing depolarization effec…
Multivariate Diffusion Transformer with Decoupled Attention for High-Fidelity Mask-Text Collaborative Facial Generation
Yushe Cao, Dianxi Shi, Xing Fu +5
While significant progress has been achieved in multimodal facial generation using semantic masks and textual descriptions, conventional feature fusion approaches often fail to ena…
FOUNDv2: Learning Unified User Quantized Tokenizers for User Representation
Chuan He, Yang Chen, Bin Dou +10
User representation learning serves as a fundamental pillar for personalized services on large-scale web platforms. Despite its importance, conventional continuous embedding method…
From Parameters to Data: A Task-Parameter-Guided Fine-Tuning Pipeline for Efficient LLM Alignment
Hao Chen, Qi Zhang, Liyao Li +7
Adapting Large Language Models (LLMs) to specialized domains typically incurs high data and computational overhead. While prior efficiency efforts have largely treated data selecti…
Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations
Junzhe Wang, Bichen Wang, Xing Fu +3
In recent years, Large Language Models (LLMs) have made significant progress in automated psychological counseling. However, current research focuses on single-session counseling,…
Two-dimensional-controlled high-order modes and vortex beams from an intracavity mode converter laser
Jing Pan, Yijie Shen, Zhensong Wan +3
We present a novel scheme of structured light laser with an astigmatic mode converter (AMC) as intracavity element, first enabling the generation of Hermite-Gaussian (HG) modes wit…
KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling
Mingming Zhang, Pengfei Shi, Zhiqing Xiao +8
Predictive modeling on web-scale tabular data with billions of instances and hundreds of heterogeneous numerical features faces significant scalability challenges. These features e…
Dual-wavelength vortex beam with high stability in diode-pumped Yb:CaGdAlO4 Laser
Yijie Shen, Yuan Meng, Xing Fu +1
We present a stable dual-wavelength vortex beam carrying orbital angular momentum (OAM) with two spectral peaks separated by a few terahertz in diode-pumped Yb:CaGdAlO4 (CALGO) las…
Deep-learning-based recognition of multi-singularity structured light
Hao Wang, Xilin Yang, Zeqi Liu +8
Structured light with customized complex topological pattern inspires diverse classical and quantum investigations underpinned by accurate detection techniques. However, the curren…
AIGT: AI Generative Table Based on Prompt
Mingming Zhang, Zhiqing Xiao, Guoshan Lu +5
Tabular data, which accounts for over 80% of enterprise data assets, is vital in various fields. With growing concerns about privacy protection and data-sharing restrictions, gener…
Intelligent optoelectronic processor for orbital angular momentum spectrum measurement
Hao Wang, Ziyu Zhan, Futai Hu +4
Orbital angular momentum (OAM) detection underpins almost all aspects of vortex beams' advances such as communication and quantum analogy. Conventional schemes are frustrated by lo…
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
Yunfei Liu, Jintang Li, Yuehe Chen +9
Graph clustering, a fundamental and challenging task in graph mining, aims to classify nodes in a graph into several disjoint clusters. In recent years, graph contrastive learning…
TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding
Minjie Qiang, Mingming Zhang, Xiaoyi Bao +5
Foundation models have established unified representations for natural language processing, yet this paradigm remains largely unexplored for tabular data. Existing methods face fun…
Characterization of Vanishing Campanato Spaces via Ball Banach Function Spaces and Its Applications
Xing Fu, Yoshihiro Sawano, Jin Tao +1
In this article, the authors provide some new characterizations of several vanishing Campanato spaces using a type of oscillation defined within the general framework of ball Banac…
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing
Hui Li, Xing Fu, Ruofan Wu +8
Deep learning provides a promising way to extract effective representations from raw data in an end-to-end fashion and has proven its effectiveness in various domains such as compu…
Hardy spaces over non-homogeneous metric measure spaces and their applications
Xing Fu, Haibo Lin, Dachun Yang +1
Let be a metric measure space satisfying both the geometrically doubling and the upper doubling conditions. Let , , $…
Table as a Modality for Large Language Models
Liyao Li, Chao Ye, Wentao Ye +9
To migrate the remarkable successes of Large Language Models (LLMs), the community has made numerous efforts to generalize them to the table reasoning tasks for the widely deployed…
Truncated triangular diffraction lattices and orbital-angular-momentum detection of vortex SU(2) geometric modes
Yijie Shen, Xing Fu, Mali Gong
We for the first time report the truncated diffraction with a triangular aperture of the SU(2) geometric modes and propose a method to detect the complicated orbital angular moment…