papers

Publications (35)

quant-ph2026

In-Line Fiber-Integrated Photon-Pair Generation from van der Waals Crystals

Mayank Joshi, Tanumoy Pramanik, Mengting Jiang +9

Miniaturized quantum light sources that operate directly in optical fibers are an attractive platform for optical quantum technologies. However, most miniaturized spontaneous param…

cs.AI2026

GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion

Qizhuo Xie, Yunhui Liu, Yu Xing +4

Large Language Models (LLMs) have shown immense potential in Knowledge Graph Completion (KGC), yet bridging the modality gap between continuous graph embeddings and discrete LLM to…

physics.comp-ph2025

PCG-Informed Neural Solvers for High-Resolution Homogenization of Periodic Microstructures

Yu Xing, Yang Liu, Lipeng Chen +2

The mechanical properties of periodic microstructures are pivotal in various engineering applications. Homogenization theory is a powerful tool for predicting these properties by a…

eess.SY2023

Community Structure Recovery and Interaction Probability Estimation for Gossip Opinion Dynamics

Yu Xing, Xingkang He, Haitao Fang +1

We study how to jointly recover the community structure and estimate the interaction probabilities of gossip opinion dynamics. In this process, agents randomly interact pairwise, a…

cs.GR2026

GMT: A Geometric Multigrid Transformer Solver for Microstructure Homogenization

Yu Xing, Yang Liu, Tianyang Xue +1

Lattice metamaterials enable lightweight, multifunctional structures, yet homogenization-based evaluation of their effective properties remains computationally expensive. Neural su…

eess.SY2026

Approximate Simulation-Based Verification of Compatibility of the Friedkin-Johnsen Model with Binary Observations

Yu Xing, Aneesh Raghavan, Michael T. Schaub +1

We consider a verification problem for opinion dynamics based on binary observations. The opinion dynamics is governed by a Friedkin-Johnsen (FJ) model, where only a sequence of bi…

physics.optics2011

Broadband polarization transformation via enhanced asymmetric transmission through arrays of twisted complementary split-ring resonators

Wei Zeyong, Cao Yang, Fan Yuancheng +2

This study proposes an ultrathin chiral metamaterial slab stacked with twisted complementary split-ring resonators (CSRRs) for highly efficient broadband polarization transformatio…

eess.SY2022

Identification of Linear Systems with Multiplicative Noise from Multiple Trajectory Data

Yu Xing, Benjamin Gravell, Xingkang He +2

The paper studies identification of linear systems with multiplicative noise from multiple-trajectory data. An algorithm based on the least-squares method and multiple-trajectory d…

eess.SY2024

Concentration in Gossip Opinion Dynamics over Random Graphs

Yu Xing, Karl Henrik Johansson

We study concentration inequalities in gossip opinion dynamics over random graphs. In the model, a network is generated from a random graph model with independent edges, and agents…

cs.DC2019

DNNVM : End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-based CNN Accelerators

Yu Xing, Shuang Liang, Lingzhi Sui +6

The convolutional neural network (CNN) has become a state-of-the-art method for several artificial intelligence domains in recent years. The increasingly complex CNN models are bot…

eess.SY2020

Community Detection for Gossip Dynamics with Stubborn Agents

Yu Xing, Xingkang He, Haitao Fang +1

We consider a community detection problem for gossip dynamics with stubborn agents in this paper. It is assumed that the communication probability matrix for agent pairs has a bloc…

cs.AI2026

AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design

Zhenyuan Zhao, Yu Xing, Tianyang Xue +3

Designing microstructures with coupled cross-physics objectives is a fundamental challenge where traditional topology optimization is often computationally prohibitive and deep gen…

cs.LG2026

Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering

Yunhui Liu, Pengyu Qiu, Yu Xing +6

Attributed Graph Clustering (AGC) is a fundamental unsupervised task that integrates structural topology and node attributes to uncover latent patterns in graph-structured data. De…

eess.SY2024

Learning Communities from Equilibria of Nonlinear Opinion Dynamics

Yu Xing, Anastasia Bizyaeva, Karl H. Johansson

This paper studies community detection for a nonlinear opinion dynamics model from its equilibria. It is assumed that the underlying network is generated from a stochastic block mo…

eess.SY2026

Embodied Opinion Dynamics for Safety-Critical Motion Control in Dynamic Environments

Zhiqi Tang, Yu Xing

This paper proposes a novel adaptive control framework that embeds nonlinear opinion dynamics within the dynamical sensorimotor layers of an automated vehicle governed by second-or…

math.OC2018

A Strategic Learning Algorithm for State-based Games

Changxi Li, Yu Xing, Fenghua He +1

Learning algorithm design for state-based games is investigated. A heuristic uncoupled learning algorithm, which is a two memory better reply with inertia dynamics, is proposed. Un…

eess.SY2025

Adding links wisely: how an influencer seeks for leadership in opinion dynamics?

Lingfei Wang, Yu Xing, Yuhao Yi +2

This paper investigates the problem of leadership development for an external influencer using the Friedkin-Johnsen (FJ) opinion dynamics model, where the influencer is modeled as…

cs.LG2025

M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling

Xudong Sun, Nutan Chen, Alexej Gossmann +8

A probabilistic graphical model is proposed, modeling the joint model parameter and multiplier evolution, with a hypervolume based likelihood, promoting multi-objective descent in…

physics.soc-ph2023

Transient Behavior of Gossip Opinion Dynamics with Community Structure

Yu Xing, Karl H. Johansson

We study transient behavior of gossip opinion dynamics, in which agents randomly interact pairwise over a weighted graph with two communities. Edges within a community have identic…

physics.optics2026

Twist Engineering for Reconfigurable Optical and Optoelectronic Devices

Gang Huang, Annan Helian, Mengting Jiang +12

The paper reviews how rotating adjacent two‑dimensional layers or photonic lattices—known as twist engineering—enables compact, reconfigurable optical and optoelectronic devices by…

#twist engineering#van der Waals materials#moiré photonics#reconfigurable devices
eess.SY2023

What is the Expected Transient Behavior of Opinion Evolution for Two Communities?

Yu Xing, Karl H. Johansson

We study the transient behavior of a gossip model, in which agents randomly interact pairwise over a weighted graph with two communities. Edges within each community have identical…

eess.SY2021

Event-Triggered Distributed Estimation With Decaying Communication Rate

Xingkang He, Yu Xing, Junfeng Wu +1

We study distributed estimation of a high-dimensional static parameter vector through a group of sensors whose communication network is modeled by a fixed directed graph. Different…

cond-mat.mtrl-sci2026

Room-Temperature Noncolinear Ferroelectricity in van der Waals WOCl with a Wide Bandgap

Yu Xing, Ning Ding, Zhipeng Wang +21

Low-dimensional ferroelectrics are attractive for their promising prospects in nanoelectronics. Compared with widely-used ferroelectric perovskites, most low-dimensional ferroelect…

cs.IR2025

Watermarking Large Language Model-based Time Series Forecasting

Wei Yuan, Chaoqun Yang, Yu Xing +3

Large Language Model-based Time Series Forecasting (LLMTS) has shown remarkable promise in handling complex and diverse temporal data, representing a significant step toward founda…

physics.app-ph2026

Air-stable bright entangled photon-pair source from graphene-encapsulated van der Waals ferroelectric NbOI2

Mayank Joshi, Mengting Jiang, Yu Xing +6

Van der Waals (vdW) ferroelectrics are emerging nonlinear photonic materials that combine large second-order susceptibility \c{hi}(2) with heterostructure compatibility, offering a…

eess.SY2019

Recursive Network Estimation From Binary-Valued Observation Data

Yu Xing, Xingkang He, Haitao Fang +1

This paper studies the problem of recursively estimating the weighted adjacency matrix of a network out of a temporal sequence of binary-valued observations. The observation sequen…

eess.IV2025

A Real-time Endoscopic Image Denoising System

Yu Xing, Shishi Huang, Meng Lv +3

Endoscopes featuring a miniaturized design have significantly enhanced operational flexibility, portability, and diagnostic capability while substantially reducing the invasiveness…

eess.SY2023

Almost Exact Recovery in Gossip Opinion Dynamics over Stochastic Block Models

Yu Xing, Karl H. Johansson

We study community detection based on state observations from gossip opinion dynamics over stochastic block models (SBM). It is assumed that a network is generated from a two-commu…

eess.SY2019

Network Weight Estimation for Binary-Valued Observation Models

Yu Xing, Xingkang He, Haitao Fang +1

This paper studies the estimation of network weights for a class of systems with binary-valued observations. In these systems only quantized observations are available for the netw…

eess.SY2020

Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data

Yu Xing, Ben Gravell, Xingkang He +2

The study of multiplicative noise models has a long history in control theory but is re-emerging in the context of complex networked systems and systems with learning-based control…

cs.LG2022

On the Convergence of mSGD and AdaGrad for Stochastic Optimization

Ruinan Jin, Yu Xing, Xingkang He

As one of the most fundamental stochastic optimization algorithms, stochastic gradient descent (SGD) has been intensively developed and extensively applied in machine learning in t…

eess.SY2024

On final opinions of the Friedkin-Johnsen model over random graphs with partially stubborn community

Lingfei Wang, Yu Xing, Karl H. Johansson

This paper studies the formation of final opinions for the Friedkin-Johnsen (FJ) model with a community of partially stubborn agents. The underlying network of the FJ model is symm…

eess.SY2025

Robust Data-Driven Kalman Filtering for Unknown Linear Systems using Maximum Likelihood Optimization

Peihu Duan, Tao Liu, Yu Xing +1

This paper investigates the state estimation problem for unknown linear systems subject to both process and measurement noise. Based on a prior input-output trajectory sampled at a…

cs.SI2023

Joint Learning of Network Topology and Opinion Dynamics Based on Bandit Algorithms

Yu Xing, Xudong Sun, Karl H. Johansson

We study joint learning of network topology and a mixed opinion dynamics, in which agents may have different update rules. Such a model captures the diversity of real individual in…

cs.IR2019

A Novel User Representation Paradigm for Making Personalized Candidate Retrieval

Zheng Liu, Yu Xing, Jianxun Lian +3

Candidate retrieval is a fundamental issue in recommendation system. Given user's recommendation request, relevant candidates need to be retrieved in realtime for subsequent rankin…