papers

Publications (20)

math.DS2026

Saturation for product systems of polynomials

Qinqi Wu, Jiaqi Yu

Recently, Qiu, Xu, Ye and Yu proved that for product system of finitely many minimal systems, the maximal -step pro-nilfactor of the system is the topological characteristi…

math.AP2026

Fractal Turán-Nazarov Inequality and Observability for Schrödinger Equations

Jiaqi Yu, Shanlin Huang

This paper establishes limitations on observability inequality and unique continuation for Schrödinger equations on fractal sets. We prove that, in contrast to the heat equation,…

math.DS2024

A refined saturation theorem for polynomials and applications

Xiangdong Ye, Jiaqi Yu

For a dynamical system , and distinct non-constant integral polynomials vanishing at , the notion of regionally proximal relation along…

physics.optics2024

Pixel-scale NIR-VIS Spectral Routers Based on 2D Mie-type Metagratings

Yifan Shao, Shuhan Guo, Rui Chen +7

The out-of-band energy loss caused by in-built color filters significantly degrades the signal-to-noise ratio and the dynamic range of conventional image sensors, which has restric…

cs.LG2023

DREAM: Domain-free Reverse Engineering Attributes of Black-box Model

Rongqing Li, Jiaqi Yu, Changsheng Li +3

Deep learning models are usually black boxes when deployed on machine learning platforms. Prior works have shown that the attributes (, the number of convolutional layers) of…

math.AP2026

Application of uncertainty principles for decaying densities to the observability of the Schrödinger equation

Kévin Le Balc'h, Jiaqi Yu

In this article, we study the Schrödinger equation posed in the Euclidean space. We prove observability inequalities for measurable sets that are thick with respect to decaying de…

cs.IR2026

Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation

Na Li, Jiaqi Yu, Minzhi Xie +8

Short-video recommender systems typically optimize ranking models using dense user behavioral signals, such as clicks and watch time. However, these signals are only indirect proxi…

cs.GR2026

Compact Hadamard Latent Codes for Efficient Spectral Rendering

Jiaqi Yu, Dar'ya Guarnera, Giuseppe Claudio Guarnera

Spectral rendering accurately reproduces wavelength-dependent appearance but is computationally expensive, as shading must be evaluated at many wavelength samples and scales roughl…

cs.CV2026

TAME: Test-Time Adversarial Prompt Tuning via Mixture-of-Experts for Vision-Language Models

Xin Wang, Yixu Wang, Jiaming Zhang +6

Large-scale pre-trained Vision-Language models (VLMs), such as CLIP, exhibit strong zero-shot generalization, yet remain highly vulnerable to imperceptible adversarial perturbation…

cs.IR2026

Uncertainty as Remedy: Mitigating Satisfaction Label Bias in Short Video Multi-Objective Ensemble Ranking

Zonghe Shao, Tiantian He, Xiaoxiao Xu +6

The core objective of short video recommendation is to model users' unobservable true satisfaction with recommended videos. As the dominant industrial framework, end-to-end multi-o…

math.AP2026

On the observability of the Schrödinger equation in the torus from open sets

Kévin Le Balc'h, Jiaqi Yu

We study the observability of the Schrödinger equation on the -dimensional torus , , from an open subset . Our first main result e…

cs.CL2026

SentGuard: Sentence-Level Streaming Guardrails for Large Language Models

Jiaqi Yu, Xin Wang, Yixu Wang +4

Large language models increasingly stream long, reasoning-intensive responses in real time, making when to moderate as critical as whether to moderate. Existing guardrails fall int…

cs.CV2026

LDDR: Linear-DPP-Based Dynamic-Resolution Frame Sampling for Video MLLMs

Jingfeng Chen, Jiawen Qian, Wendi Deng +5

Video understanding in multimodal large language models requires selecting informative frames from long, redundant videos under limited visual-token budgets. Existing methods often…

cs.ET2026

EPAR: Electromagnetic Pathways to Architectural Reliability in Quantum Processors

Navnil Choudhury, Yizhuo Tan, Jiaqi Yu +2

As superconducting processors scale, understanding how physical layout shapes qubit interactions is essential for architectural reliability. Existing methods offer limited insight…

math.DS2023

Saturated theorem along cubes for a measure and applications

Jiahao Qiu, Jiaqi Yu

We show that for a minimal system , the set of saturated points along cubes with respect to its maximal -step pro-nilfactor has a full measure. As an appl…

cs.AI2026

Offline-Online Curriculum RL for Multimodal Reasoning

Wendi Deng, Hang Du, Guoshun Nan +11

Multimodal large language models exhibit capabilities on reasoning tasks, yet often produce flawed intermediate steps while yielding correct final answers. This behavior undermines…

cs.LG2026

S2Aligner: Pair-Efficient and Transferable Pre-Training for Sparse Text-Attributed Graphs

Yuhan Wang, Haopeng Zhang, Yibo Ding +6

Pre-training on text-attributed graphs (TAGs) is central to building transferable graph foundation models, where LLM-as-Aligner methods align graph and text representations through…

math.CA2023

Heisenberg Uniqueness Pairs and the wave equation

Shanlin Huang, Jiaqi Yu

Given a curve and a set in the plane, the concept of the Heisenberg uniqueness pair was first introduced by Hedenmalm and Motes-Rodr\'ıgez (Ann. of Math. 173(…

cs.IR2025

An End-to-End Multi-objective Ensemble Ranking Framework for Video Recommendation

Tiantian He, Minzhi Xie, Runtong Li +6

We propose a novel End-to-end Multi-objective Ensemble Ranking framework (EMER) for the multi-objective ensemble ranking module, which is the most critical component of the short v…

cs.LG2024

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model

Rongqing Li, Jiaqi Yu, Changsheng Li +3

Deep learning models are usually black boxes when deployed on machine learning platforms. Prior works have shown that the attributes (e.g., the number of convolutional layers) of a…