Publications (57)
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study
Binxiao Huang, Chaofan Tao, Rui Lin +1
Although many fields have witnessed the superior performance brought about by deep learning, the robustness of neural networks remains an open issue. Specifically, a small adversar…
Tracing the Thought of a Grandmaster-level Chess-Playing Transformer
Rui Lin, Zhenyu Jin, Guancheng Zhou +7
While modern transformer neural networks achieve grandmaster-level performance in chess and other reasoning tasks, their internal computation process remains largely opaque. Focusi…
A Spectral Perspective towards Understanding and Improving Adversarial Robustness
Binxiao Huang, Rui Lin, Chaofan Tao +1
Deep neural networks (DNNs) are incredibly vulnerable to crafted, imperceptible adversarial perturbations. While adversarial training (AT) has proven to be an effective defense app…
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…
Sustaining high-fidelity quantum logic in neutral-atom circuits via mid-circuit operations
Rui Lin, You Li, Le-Tian Zheng +11
The realization of fault-tolerant quantum computation hinges on the ability to execute deep quantum circuits while maintaining gate fidelities consistently above error-correction t…
Quantum adiabatic optimization with Rydberg arrays: localization phenomena and encoding strategies
Lisa Bombieri, Zhongda Zeng, Roberto Tricarico +5
Quantum adiabatic optimization seeks to solve combinatorial problems using quantum dynamics, requiring the Hamiltonian of the system to align with the problem of interest. However,…
Frequency Regularization for Improving Adversarial Robustness
Binxiao Huang, Chaofan Tao, Rui Lin +1
Deep neural networks are incredibly vulnerable to crafted, human-imperceptible adversarial perturbations. Although adversarial training (AT) has proven to be an effective defense a…
SHERLOCK: Towards Dynamic Knowledge Adaptation in LLM-enhanced E-commerce Risk Management
Nan Lu, Yurong Hu, Jiaquan Fang +5
Effective e-commerce risk management requires in-depth case investigations to identify emerging fraud patterns in highly adversarial environments. However, manual investigation typ…
Experimental Quantification of Layered Error Suppression in Fiber-Interconnected Quantum Data Centers
Seyed Navid Elyasi, Sima Bahrani, Rui Wang +3
We perform experiments to quantify error suppression in fiber-connected superconducting QPUs using combined error mitigation techniques, demonstrating over 20\% improvement in oper…
Spiral order from orientationally correlated random bonds in classical XY models
Andrea Scaramucci, Hiroshi Shinaoka, Maxim V. Mostovoy +3
We discuss the stability of ferromagnetic long-range order in three-dimensional classical XY ferromagnets upon substitution of a small subset of equally oriented bonds by impurity…
FAT: Learning Low-Bitwidth Parametric Representation via Frequency-Aware Transformation
Chaofan Tao, Rui Lin, Quan Chen +3
Learning convolutional neural networks (CNNs) with low bitwidth is challenging because performance may drop significantly after quantization. Prior arts often discretize the networ…
Decoding the drive-bath interplay: A guideline to enhance superconductivity
Rui Lin, Aline Ramires, R. Chitra
Driven-dissipative physics lie at the core of quantum optics. However, the full interplay between a driven quantum many-body system and its environment remains relatively unexplore…
Lite it fly: An All-Deformable-Butterfly Network
Rui Lin, Jason Chun Lok Li, Jiajun Zhou +3
Most deep neural networks (DNNs) consist fundamentally of convolutional and/or fully connected layers, wherein the linear transform can be cast as the product between a filter matr…
Experimental Demonstration of 503.61-Gbit/s DMT over 10-km 7-Core Fiber with 1.5-μm SM-VCSEL for Optical Interconnects
Lu Zhang, Joris Van Kerrebrouck, Oskars Ozolins +18
We experimentally demonstrate a net-rate 503.61-Gbit/s discrete multitone (DMT) transmission over 10-km 7-core fiber with 1.5-μm single mode VCSEL, where low-complexity kernelrecu…
VidPrism: Heterogeneous Mixture of Experts for Image-to-Video Transfer
Rui Lin, Chuanming Wang, Huadong Ma
With the rapid development of pre-training technologies, adapting large-scale Vision-Language Models (VLMs) for video understanding \emph{\ie} image-to-video transfer learning has…
DuoTok: Source-Aware Dual-Track Tokenization for Multi-Track Music Language Modeling
Rui Lin, Zhiyue Wu, Jiahe Le +4
Audio tokenization bridges continuous waveforms and multi-track music language models. In dual-track modeling, tokens should preserve three properties at once: high-fidelity recons…
Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion
Rui Lin, Cong Chen, Ngai Wong
Existing low-rank tensor completion (LRTC) approaches aim at restoring a partially observed tensor by imposing a global low-rank constraint on the underlying completed tensor. Howe…
Tunable Einstein-Bohr recoiling-slit gedankenexperiment at the quantum limit
Yu-Chen Zhang, Hao-Wen Cheng, Zhao-Qiu Zengxu +7
In 1927, during the fifth Solvay Conference, Einstein and Bohr described a double-slit interferometer with a "movable slit" that can detect the momentum recoil of one photon. Here,…
MiSC: Mixed Strategies Crowdsourcing
Ching-Yun Ko, Rui Lin, Shu Li +1
Popular crowdsourcing techniques mostly focus on evaluating workers' labeling quality before adjusting their weights during label aggregation. Recently, another cohort of models re…
Observing dynamical currents in a non-Hermitian momentum lattice
Rodrigo Rosa-Medina, Francesco Ferri, Fabian Finger +6
We report on the experimental realization and detection of dynamical currents in a spin-textured lattice in momentum space. Collective tunneling is implemented via cavity-assisted…
MCTDH-X: The multiconfigurational time-dependent Hartree method for indistinguishable particles software
Rui Lin, Paolo Molignini, Luca Papariello +6
We introduce and describe the multiconfigurational time-depenent Hartree for indistinguishable particles (MCTDH-X) software. This powerful tool allows the investigation of ground s…
Crystal Facet Effect in Plasmonic Catalysis
Yicui Kang, Simão M. João, Rui Lin +10
In the realm of plasmonic catalytic systems, much attention has been devoted to the plasmon-derived mechanisms, yet the influence of nanoparticles' crystal facets in this type of p…
High-speed PAM4-based Optical SDM Interconnects with Directly Modulated Long-wavelength VCSEL
Joris Van Kerrebrouck, Xiaodan Pang, Oskars Ozolins +18
This paper reports the demonstration of high-speed PAM-4 transmission using a 1.5-μm single-mode vertical cavity surface emitting laser (SM-VCSEL) over multicore fiber with 7 core…
Exploiting Elasticity in Tensor Ranks for Compressing Neural Networks
Jie Ran, Rui Lin, Hayden K. H. So +2
Elasticities in depth, width, kernel size and resolution have been explored in compressing deep neural networks (DNNs). Recognizing that the kernels in a convolutional neural netwo…
PECAN: A Product-Quantized Content Addressable Memory Network
Jie Ran, Rui Lin, Jason Chun Lok Li +2
A novel deep neural network (DNN) architecture is proposed wherein the filtering and linear transform are realized solely with product quantization (PQ). This results in a natural…
Kernel Adaptive Filtering for Nonlinearity-Tolerant Optical Direct Detection Systems
Lu Zhang, Oskars Ozolins, Rui Lin +16
Kernel adaptive filtering (KAF) is proposed for nonlinearity-tolerant optical direct detection. For 7x128Gbit/s PAM4 transmission over 33.6km 7-core-fiber, KAF only needs 10 equali…
A Unifying Tensor View for Lightweight CNNs
Jason Chun Lok Li, Rui Lin, Jiajun Zhou +2
Despite the decomposition of convolutional kernels for lightweight CNNs being well studied, existing works that rely on tensor network diagrams or hyperdimensional abstraction lack…
Pauli crystal superradiance
Daniel Ortuño-Gonzalez, Rui Lin, Justyna Stefaniak +4
Pauli crystals are unique geometric structures of non-interacting fermions, resembling crystals, that emerge solely from Fermi statistics and confinement. Unlike genuine quantum cr…
Back to Ear: Perceptually Driven High Fidelity Music Reconstruction
Kangdi Wang, Zhiyue Wu, Dinghao Zhou +3
Variational Autoencoders (VAEs) are essential for large-scale audio tasks like diffusion-based generation. However, existing open-source models often neglect auditory perceptual as…
Mott transition in a cavity-boson system: A quantitative comparison between theory and experiment
Rui Lin, Christoph Georges, Jens Klinder +6
The competition between short-range and cavity-mediated infinite-range interactions in a cavity-boson system leads to the existence of a superfluid phase and a Mott-insulator phase…
A Novel Evaluation Benchmark for Medical LLMs: Illuminating Safety and Effectiveness in Clinical Domains
Shirui Wang, Zhihui Tang, Huaxia Yang +35
Large language models (LLMs) hold promise in clinical decision support but face major challenges in safety evaluation and effectiveness validation. We developed the Clinical Safety…
Dissipation-engineered family of nearly dark states in many-body cavity-atom systems
Rui Lin, Rodrigo Rosa-Medina, Francesco Ferri +5
Three-level atomic systems coupled to light have the capacity to host dark states. We study a system of V-shaped three-level atoms coherently coupled to the two quadratures of a di…
Deformable Butterfly: A Highly Structured and Sparse Linear Transform
Rui Lin, Jie Ran, King Hung Chiu +2
We introduce a new kind of linear transform named Deformable Butterfly (DeBut) that generalizes the conventional butterfly matrices and can be adapted to various input-output dimen…
Squeezed-slit Bohr-Einstein Interferometer
Hao-Wen Cheng, Xu-Zhao-Qiu Zeng, Yu-Chen Zhang +9
The Einstein-Bohr recoiling-slit gedankenexperiment, a cornerstone of quantum complementarity, has long been constrained by the zero-point fluctuations of the atomic slit -- the sp…
Hear: Hierarchically Enhanced Aesthetic Representations For Multidimensional Music Evaluation
Shuyang Liu, Yuan Jin, Rui Lin +3
Evaluating song aesthetics is challenging due to the multidimensional nature of musical perception and the scarcity of labeled data. We propose HEAR, a robust music aesthetic evalu…
GsOQDC: A GUI-Driven Interactive Framework for End-to-End Simulation of Optical Quantum Data Centers
Seyed Navid Elyasi, Sima Bahrani, Rui Wang +3
We present GsOQDC, an open-source graphical framework integrating optical-network design, distributed quantum-circuit compilation, scheduling, and DES-based remote-gate simulation,…
VULCAN: Tool-Augmented Multi Agents for Iterative 3D Object Arrangement
Zhengfei Kuang, Rui Lin, Long Zhao +3
Despite the remarkable progress of Multimodal Large Language Models (MLLMs) in 2D vision-language tasks, their application to complex 3D scene manipulation remains underexplored. I…
HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression
Rui Lin, Ching-Yun Ko, Zhuolun He +5
The emerging edge computing has promoted immense interests in compacting a neural network without sacrificing much accuracy. In this regard, low-rank tensor decomposition constitut…
Optimized Observable Readout from Single-shot Images of Ultracold Atoms via Machine Learning
Axel U. J. Lode, Rui Lin, Miriam Büttner +6
Single-shot images are the standard readout of experiments with ultracold atoms -- the tarnished looking glass into their many-body physics. The efficient extraction of observables…
Deployed trusted-node quantum key distribution over 300 km with a multi-core fiber access link
Martin Clason, Joakim Argillander, Didrik Bergström +8
Quantum key distribution (QKD) is increasingly considered for deployment in realistic communication networks, where long distances, heterogeneous fiber infrastructure, and coexiste…
VGIF-Score: Interpretable and Diagnostic Evaluation of Spatio-Temporal Instruction Following in Video Generation
Songyu Xu, Xin Wang, Qiang Chen +6
The paper introduces VGIF-Score, an automated and interpretable framework that evaluates how well video generation models follow long, compositional instructions by parsing prompts…
AI-Enabled Rapid Assembly of Thousands of Defect-Free Neutral Atom Arrays with Constant-time-overhead
Rui Lin, Han-Sen Zhong, You Li +15
Assembling increasingly larger-scale defect-free optical tweezer-trapped atom arrays is essential for quantum computation and quantum simulations based on atoms. Here, we propose a…
Digital Radio-over-Multicore-Fiber System with Self-Homodyne Coherent Detection and Entropy Coding for Mobile Fronthaul
Lu Zhang, Aleksejs Udalcovs, Rui Lin +15
We experimentally demonstrate a 28-Gbaud 16-QAM self-homodyne digital radio-over- 33.6km-7-core-fiber system with entropy coding for mobile fronthaul, achieving error-free carrier…
Many-body physics in two-component Bose-Einstein condensates in a cavity: fragmented superradiance and polarization
Axel U. J. Lode, Fritz S. Diorico, Rugway Wu +8
We consider laser-pumped one-dimensional two-component bosons in a parabolic trap embedded in a high-finesse optical cavity. Above a threshold pump power, the photons that populate…
Superfluid--Mott insulator transition of ultracold superradiant bosons in a cavity
Rui Lin, Luca Papariello, Paolo Molignini +2
We investigate harmonically-trapped, laser-pumped bosons with infinite-range interactions induced by a dissipative high-finesse red-detuned optical cavity with numerical and analyt…
High-rate continuous-variable quantum key distribution coexisting with Tb/s coherent classical transmission in hollow-core fiber
Xitao Ji, Siyu Chen, Peng Li +7
The paper demonstrates a continuous-variable quantum key distribution system that can simultaneously transmit secret keys at about 150 Mb/s and classical data at 7.6 Tb/s over a 24…
Cluster-based Method for Eavesdropping Identification and Localization in Optical Links
Haokun Song, Rui Lin, Andrea Sgambelluri +4
We propose a cluster-based method to detect and locate eavesdropping events in optical line systems characterized by small power losses. Our findings indicate that detecting such s…
Inter-Core Crosstalk in Multicore Fibers: Impact on 56-Gbaud/λ/Core PAM-4 Transmission
Aleksejs Udalcovs, Rui Lin, Oskars Ozolins +12
We experimentally demonstrate the impact of inter-core crosstalk in multicore fibers on 56Gbaud PAM-4 signal quality after 2.5-km transmission over a weakly-coupled and uncoupled s…
Emulation of Optically Interconnected Quantum Data Centers Topologies for Cost-Fidelity Benchmarking
Seyed Navid Elyasi, Seyed Morteza Ahmadian, Rui Lin +1
We emulate optically interconnected quantum processors in ring, star, and line topologies using a quantum computer. GHZ benchmarks show that the star provides the best trade-off be…
Adjusting the Output of Decision Transformer with Action Gradient
Rui Lin, Yiwen Zhang, Zhicheng Peng +1
Decision Transformer (DT), which integrates reinforcement learning (RL) with the transformer model, introduces a novel approach to offline RL. Unlike classical algorithms that take…
Telecom Compatibility Validation of Quantum Key Distribution Co-existing with 112 Gbps/λ/core Data Transmission in Non-Trench and Trench-Assistant Multicore Fibers
Rui Lin, Aleksejs Udalcovs, Oskars Ozolins +12
We experimentally characterize photon leakage from 112Gbps data channels in both non-trench and trench-assistant 7-core fibers, demonstrating telecom compatibility for QKD co-exist…
A Framework for Quantum Data Center Emulation Using Digital Quantum Computers
Seyed Navid Elyasi, Paolo Monti, Jun Li +1
As quantum computers scale, single-chip architectures face inherent limitations in qubit count. This drives the need for modular quantum computing and Quantum Data Centers (QDCs),…
Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition
Zhengfu He, Junxuan Wang, Rui Lin +5
We propose Low-Rank Sparse Attention (Lorsa), a sparse replacement model of Transformer attention layers to disentangle original Multi Head Self Attention (MHSA) into individually…
Pathway to chaos through hierarchical superfluidity in a cavity-BEC system
Rui Lin, Paolo Molignini, Axel U. J. Lode +1
We explore the role of atomic correlations in a harmonically trapped Bose-Einstein condensate coupled to a dissipative cavity, where both the atoms and the cavity are blue detuned…
UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation
Bo Xu, Quanhao Zhu, Rui Lin +5
Ultrasound imaging has become increasingly widespread in clinical practice due to its portability, low cost and real-time capability, making ultrasound image segmentation important…
EZCrop: Energy-Zoned Channels for Robust Output Pruning
Rui Lin, Jie Ran, Dongpeng Wang +2
Recent results have revealed an interesting observation in a trained convolutional neural network (CNN), namely, the rank of a feature map channel matrix remains surprisingly const…
JARVIS: An Evidence-Grounded Retrieval System for Interpretable Deceptive Reviews Adjudication
Nan Lu, Leyang Li, Yurong Hu +2
Deceptive reviews, refer to fabricated feedback designed to artificially manipulate the perceived quality of products. Within modern e-commerce ecosystems, these reviews remain a c…