Publications (54)
CACR:Reinforcing Temporal Answer Grounding in Instructional Video via Candidate-Aware Causal Reasoning
Muge Qi, Rong Fu, Pengbin Feng +7
The task of temporal answer grounding in instructional video (TAGV), which aims to locate precise video segments that respond to natural language queries, is increasingly important…
Symmetric observations without symmetric causal explanations
Christian William, Patrick Remy, Jean-Daniel Bancal +3
Inferring causal models from observed correlations is a challenging task, crucial to many areas of science. In order to alleviate the computational effort when sifting through poss…
Genuine network quantum nonlocality and self-testing
Ivan Å upiÄ, Jean-Daniel Bancal, Yu Cai +1
The network structure offers in principle the possibility for novel forms of quantum nonlocal correlations, that are proper to networks and cannot be traced back to standard quantu…
Constraints on nonlocality in networks from no-signaling and independence
Nicolas Gisin, Jean-Daniel Bancal, Yu Cai +5
Generalising the concept of Bell nonlocality to networks leads to novel forms of correlations, the characterization of which is however challenging. Here we investigate constraints…
Almost thermal operations: inhomogeneous reservoirs
Angeline Shu, Yu Cai, Stella Seah +2
The resource theory of thermal operations explains the state transformations that are possible in a very specific thermodynamic setting: there is only one thermal bath, auxiliary s…
Improving 3D NAND Flash Memory Lifetime by Tolerating Early Retention Loss and Process Variation
Yixin Luo, Saugata Ghose, Yu Cai +2
Compared to planar (i.e., two-dimensional) NAND flash memory, 3D NAND flash memory uses a new flash cell design, and vertically stacks dozens of silicon layers in a single chip. Th…
A Pathology Foundation Model for Gastric Cancer with Real-World Validation
Ling Liang, Jiabo Ma, Zhengyu Zhang +25
Gastric cancer remains a major cause of cancer mortality, yet its histological and molecular heterogeneity complicates diagnosis and risk stratification. General-purpose pathology…
A Deployment-Friendly Foundational Framework for Efficient Computational Pathology
Yu Cai, Cheng Jin, Jiabo Ma +25
Pathology foundation models (PFMs) generalize well across computational pathology tasks but remain costly for gigapixel whole-slide image analysis. Here, we present LitePath, a dep…
Errors in Flash-Memory-Based Solid-State Drives: Analysis, Mitigation, and Recovery
Yu Cai, Saugata Ghose, Erich F. Haratsch +2
NAND flash memory is ubiquitous in everyday life today because its capacity has continuously increased and cost has continuously decreased over decades. This positive growth is a r…
Witnessing irreducible dimension
Wan Cong, Yu Cai, Jean-Daniel Bancal +1
The Hilbert space dimension of a quantum system is the most basic quantifier of its information content. Lower bounds on the dimension can be certified in a device-independent way,…
Generalized Numerical Framework for Improved Finite-Sized Key Rates with Rényi Entropy
Rebecca R. B. Chung, Nelly H. Y. Ng, Yu Cai
Quantum key distribution requires tight and reliable bounds on the secret key rate to ensure robust security. This is particularly so for the regime of finite block sizes, where th…
Maximal tree size of few-qubit states
Huy Nguyen Le, Yu Cai, Xingyao Wu +2
Tree size () is an interesting measure of complexity for multiqubit states: not only is it in principle computable, but one can obtain lower bounds for it. In this way, it…
Fast semidefinite programming with feedforward neural networks
Tamás Kriváchy, Yu Cai, Joseph Bowles +2
Semidefinite programming is an important optimization task, often used in time-sensitive applications. Though they are solvable in polynomial time, in practice they can be too slow…
Geometry of the set of quantum correlations
Koon Tong Goh, JÄdrzej Kaniewski, Elie Wolfe +5
It is well known that correlations predicted by quantum mechanics cannot be explained by any classical (local-realistic) theory. The relative strength of quantum and classical corr…
MedIAnomaly: A comparative study of anomaly detection in medical images
Yu Cai, Weiwen Zhang, Hao Chen +1
Anomaly detection (AD) aims at detecting abnormal samples that deviate from the expected normal patterns. Generally, it can be trained merely on normal data, without a requirement…
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective
Yu Cai, Hao Chen, Kwang-Ting Cheng
Medical anomaly detection aims to identify abnormal findings using only normal training data, playing a crucial role in health screening and recognizing rare diseases. Reconstructi…
A new device-independent dimension witness and its experimental implementation
Yu Cai, Jean-Daniel Bancal, Jacquiline Romero +1
A dimension witness is a criterion that sets a lower bound on the dimension needed to reproduce the observed data. Three types of dimension witnesses can be found in the literature…
PRTGS: Precomputed Radiance Transfer of Gaussian Splats for Real-Time High-Quality Relighting
Yijia Guo, Yuanxi Bai, Liwen Hu +5
We proposed Precomputed RadianceTransfer of GaussianSplats (PRTGS), a real-time high-quality relighting method for Gaussian splats in low-frequency lighting environments that captu…
Self-testing using only marginal information
Xinhui Li, Yu Cai, Yunguang Han +2
The partial states of a multipartite quantum state may carry a lot of information: in some cases, they determine the global state uniquely. This result is known for tomographic inf…
Experimental Characterization, Optimization, and Recovery of Data Retention Errors in MLC NAND Flash Memory
Yu Cai, Yixin Luo, Erich F. Haratsch +3
This paper summarizes our work on experimentally characterizing, mitigating, and recovering data retention errors in multi-level cell (MLC) NAND flash memory, which was published i…
Structure of the set of quantum correlators via semidefinite programming
Le Phuc Thinh, Antonios Varvitsiotis, Yu Cai
Quantum information leverages properties of quantum behaviors in order to perform useful tasks such as secure communication and randomness certification. Nevertheless, not much is…
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai, Hao Chen, Xin Yang +2
Medical anomaly detection is a crucial yet challenging task aimed at recognizing abnormal images to assist in diagnosis. Due to the high-cost annotations of abnormal images, most m…
Semi-device-independent characterization of quantum measurements under a minimum overlap assumption
Weixu Shi, Yu Cai, Jonatan Bohr Brask +2
Recently, a novel framework for semi-device-independent quantum prepare-and-measure protocols has been proposed, based on the assumption of a limited distinguishability between the…
Aqueous Proton Transfer Across Single Layer Graphene
Jennifer L. Achtyl, Raymond R. Unocic, Lijun Xu +12
Proton transfer across single layer graphene is associated with large computed energy barriers and is therefore thought to be unfavorable at room temperature unless nanoscale holes…
Robust self testing of the 3-qubit state
Xingyao Wu, Yu Cai, Tzyh Haur Yang +3
Self-testing is a device independent method which can be used to determine the nature of a physical system or device, without knowing any detail of the inner mechanism or the physi…
Absolutely entangled sets of pure states for bipartitions and multipartitions
Baichu Yu, Pooja Jayachandran, Adam Burchardt +3
A set of quantum states is said to be absolutely entangled, when at least one state in the set remains entangled for any definition of subsystems, i.e. for any choice of the global…
Entanglement for any definition of two subsystems
Yu Cai, Baichu Yu, Pooja Jayachandran +3
The notion of entanglement of quantum states is usually defined with respect to a fixed bipartition. Indeed, a global basis change can always map an entangled state to a separable…
A Note On Intrinsic Regularization Method
Han-Ying Guo, Yu Cai, Hong-Bo Teng
There exist certain intrinsic relations between the ultraviolet divergent graphs and the convergent ones at the same loop order in renormalizable quantum field theories. Whereupon…
Parameterization of nearshore wave breaker index
Chi Zhang, Yuan Li, Yu Cai +4
The performances of phase-averaged parametric nearshore wave transformation models depend significantly on a reliable estimate of the wave breaker index r (the breaker height-to-de…
Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
Yu Cai, Hao Chen, Xin Yang +2
Chest X-ray (CXR) is the most typical radiological exam for diagnosis of various diseases. Due to the expensive and time-consuming annotations, detecting anomalies in CXRs in an un…
Characterizing, Exploiting, and Mitigating Vulnerabilities in MLC NAND Flash Memory Programming
Yu Cai, Saugata Ghose, Yixin Luo +3
This paper summarizes our work on experimentally analyzing, exploiting, and addressing vulnerabilities in multi-level cell NAND flash memory programming, which was published in the…
Projection-Free Evolution Strategies for Continuous Prompt Search
Yu Cai, Canxi Huang, Xiaoyu He
Continuous prompt search offers a computationally efficient alternative to conventional parameter tuning in natural language processing tasks. Nevertheless, its practical effective…
Promise of Commercialization: Carbon Materials for Low-Cost Perovskite Solar Cells
Yu Cai, Lusheng Liang, Peng Gao
Perovskite solar cells (PVSCs) have attracted extensive studies due to their high power conversion efficiency (PCE) with low-cost in both raw material and processes. However, there…
A flapping feathered wing-powered aerial vehicle
Zhenhong Zhang, Aiqiu Wei, Yu Cai
An aerial vehicle powered by flapping feathered wings was designed, developed and fabricated. Different from legacy flapping-wing aerial vehicles with membrane wings, the new desig…
Violation of all the second laws of thermal operations by inhomogeneous reservoirs
Angeline Shu, Yu Cai, Stella Seah +2
In the resource theory of thermodynamics, the decrease of the free energy based on von Neumann entropy is not a sufficient condition to determine free evolution. Rather, a whole fa…
Measurement-dependent locality beyond i.i.d
Ernest Y. -Z. Tan, Yu Cai, Valerio Scarani
When conducting a Bell test, it is normal to assume that the preparation of the quantum state is independent of the measurements performed on it. Remarkably, the violation of local…
State complexity and quantum computation
Yu Cai, Huy Nguyen Le, Valerio Scarani
The complexity of a quantum state may be closely related to the usefulness of the state for quantum computation. We discuss this link using the tree size of a multiqubit state, a c…
Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation
Jiabo Ma, Zhengrui Guo, Fengtao Zhou +20
Foundation models pretrained on large-scale datasets are revolutionizing the field of computational pathology (CPath). The generalization ability of foundation models is crucial fo…
Experimental high-dimensional quantum teleportation
Xiao-Min Hu, Chao Zhang, Bi-Heng Liu +8
Quantum teleportation provides a way to transmit unknown quantum states from one location to another. In the quantum world, multilevel systems which enable high-dimensional systems…
Sparse Coding and Counting for Robust Visual Tracking
Risheng Liu, Jing Wang, Yiyang Wang +2
In this paper, we propose a novel sparse coding and counting method under Bayesian framwork for visual tracking. In contrast to existing methods, the proposed method employs the co…
On inserter regularization method
Han-Ying Guo, Yu Cai, Hong-Bo Teng
There exist certain intrinsic relations between the ultraviolet divergent graphs and the convergent ones at the same loop order in renormalizable quantum field theories. Whereupon…
Self-Supervised Depth Completion Guided by 3D Perception and Geometry Consistency
Yu Cai, Tianyu Shen, Shi-Sheng Huang +1
Depth completion, aiming to predict dense depth maps from sparse depth measurements, plays a crucial role in many computer vision related applications. Deep learning approaches hav…
A neural network oracle for quantum nonlocality problems in networks
Tamás Kriváchy, Yu Cai, Daniel Cavalcanti +3
Characterizing quantum nonlocality in networks is a challenging, but important problem. Using quantum sources one can achieve distributions which are unattainable classically. A ke…
Many-box locality
Yuqian Zhou, Yu Cai, Jean-Daniel Bancal +2
There is an ongoing search for a physical or operational definition for quantum mechanics. Several informational principles have been proposed which are satisfied by a theory less…
Read Disturb Errors in MLC NAND Flash Memory
Yu Cai, Yixin Luo, Saugata Ghose +3
This paper summarizes our work on experimentally characterizing, mitigating, and recovering read disturb errors in multi-level cell (MLC) NAND flash memory, which was published in…
Fully passive quantum random number generation with untrusted light
KaiWei Qiu, Yu Cai, Nelly H. Y. Ng +1
Quantum random number generators (QRNGs) harness the inherent unpredictability of quantum mechanics to produce true randomness. Yet, in many optical implementations, the light sour…
A Clinically Validated Foundation Model for Comprehensive Lung Pathology Interpretation
Zhengrui Guo, Zhengyu Zhang, Jiabo Ma +23
Pathological assessment guides lung cancer diagnosis, treatment selection, and prognostic evaluation, yet current CPath approaches rely on task-specific models for isolated objecti…
Intrinsic Regularization Method in QCD
Yu Cai, Han-Ying Guo, Dao-Neng Gao
There exist certain intrinsic relations between the ultraviolet divergent graphs and the convergent ones at the same loop order in renormalizable quantum field theories. Whereupon…
Experimental many-pairs nonlocality
Hou Shun Poh, Alessandro Cerè, Jean-Daniel Bancal +4
Collective measurements on large quantum systems together with a majority voting strategy can lead to a violation of the CHSH Bell inequality. In presence of many entangled pairs,…
Visual Mamba: A Survey and New Outlooks
Rui Xu, Shu Yang, Yihui Wang +3
Mamba, a recent selective structured state space model, excels in long sequence modeling, which is vital in the large model era. Long sequence modeling poses significant challenges…
MNN: A Universal and Efficient Inference Engine
Xiaotang Jiang, Huan Wang, Yiliu Chen +9
Deploying deep learning models on mobile devices draws more and more attention recently. However, designing an efficient inference engine on devices is under the great challenges o…
Tree-size complexity of multiqubit states
Huy Nguyên Lê, Yu Cai, Xingyao Wu +1
Complexity is often invoked alongside size and mass as a characteristic of macroscopic quantum objects. In 2004, Aaronson introduced the \textit{tree size} (TS) as a computable mea…
Alada: Alternating Adaptation of Momentum Method for Memory-Efficient Matrix Optimization
Xiaoyu He, Yu Cai, Jin Jia +3
This work proposes Alada, an adaptive momentum method for stochastic optimization over large-scale matrices. Alada employs a rank-one factorization approach to estimate the second…
Error Characterization, Mitigation, and Recovery in Flash Memory Based Solid-State Drives
Yu Cai, Saugata Ghose, Erich F. Haratsch +2
NAND flash memory is ubiquitous in everyday life today because its capacity has continuously increased and cost has continuously decreased over decades. This positive growth is a r…