Publications (44)
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
Wanting Zhang, Wei Du, Guo Yu +3
With the scaling up of crude oil scheduling in modern refineries, large-scale crude oil scheduling problems (LSCOSPs) emerge with thousands of binary variables and non-linear const…
Pressure in active matter
Guo Yu, Ruiyao Li, Fukang Li +5
In the last decade, the study of pressure in active matter has attracted growing attention due to its fundamental relevance to nonequilibrium statistical physics. Active matter sys…
Learning Local Dependence In Ordered Data
Guo Yu, Jacob Bien
In many applications, data come with a natural ordering. This ordering can often induce local dependence among nearby variables. However, in complex data, the width of this depende…
Implementation of Kalman Filter Approach for Active Noise Control by Using MATLAB: Dynamic Noise Cancellation
Guo Yu
This article offers an elaborate description of a Kalman filter code employed in the active control system. Conventional active noise management methods usually employ an adaptive…
Landau Quantization and Highly Mobile Fermions in an Insulator
Pengjie Wang, Guo Yu, Yanyu Jia +9
In strongly correlated materials, quasiparticle excitations can carry fractional quantum numbers. An intriguing possibility is the formation of fractionalized, charge-neutral fermi…
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
Mingfei Gao, Zizhao Zhang, Guo Yu +3
Active learning (AL) combines data labeling and model training to minimize the labeling cost by prioritizing the selection of high value data that can best improve model performanc…
Estimating the error variance in a high-dimensional linear model
Guo Yu, Jacob Bien
The lasso has been studied extensively as a tool for estimating the coefficient vector in the high-dimensional linear model; however, considerably less is known about estimating th…
PolyBERT: Fine-Tuned Poly Encoder BERT-Based Model for Word Sense Disambiguation
Linhan Xia, Mingzhan Yang, Guohui Yuan +4
Mainstream Word Sense Disambiguation (WSD) approaches have employed BERT to extract semantics from both context and definitions of senses to determine the most suitable sense of a…
S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images
Renxiang Guan, Zihao Li, Chujia Song +3
Spatial correlations between different ground objects are an important feature of mining land cover research. Graph Convolutional Networks (GCNs) can effectively capture such spati…
A Platform for Far-Infrared Spectroscopy of Quantum Materials at Millikelvin Temperatures
Michael Onyszczak, Ayelet J. Uzan, Yue Tang +8
Optical spectroscopy of quantum materials at ultralow temperatures is rarely explored, yet it may provide critical characterizations of quantum phases not possible using other appr…
Reluctant Interaction Modeling
Guo Yu, Jacob Bien, Ryan Tibshirani
Including pairwise interactions between the predictors of a regression model can produce better predicting models. However, to fit such interaction models on typical data sets in b…
Dense Supervision, Sparse Updates: On the Sparsity and Geometry of On-Policy Distillation
Guo Yu, Wenlin Liu, Yulan Hu +3
On-policy distillation (OPD) has recently become a prominent post-training recipe by combining two desirable ingredients: on-policy student-generated trajectories and dense token-l…
Superconductivity from On-Chip Metallization on 2D Topological Chalcogenides
Yanyu Jia, Guo Yu, Tiancheng Song +11
Two-dimensional (2D) transition metal dichalcogenides (TMDs) is a versatile class of quantum materials of interest to various fields including, e.g., nanoelectronics, optical devic…
Unconventional Superconducting Quantum Criticality in Monolayer WTe2
Tiancheng Song, Yanyu Jia, Guo Yu +12
The superconductor to insulator or metal transition in two dimensions (2D) provides a valuable platform for studying continuous quantum phase transitions (QPTs) and critical phenom…
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization
Haidong Kang, Lianbo Ma, Guo Yu +1
Mixed precision quantization (MPQ) is an effective quantization approach to achieve accuracy-complexity trade-off of neural network, through assigning different bit-widths to netwo…
Reluctant Interaction Modeling in Generalized Linear Models
Hai Lu, Guo Yu
While including pairwise interactions in a regression model can better approximate response surface, fitting such an interaction model is a well-known difficult problem. In particu…
Evidence for Two Dimensional Anisotropic Luttinger Liquids at Millikelvin Temperatures
Guo Yu, Pengjie Wang, Ayelet J. Uzan +11
While Landau's Fermi liquid theory provides the standard description for two- and three-dimensional (2D/3D) conductors, the physics of interacting one-dimensional (1D) conductors i…
Reluctant Interaction Inference after Additive Modeling
Yiling Huang, Snigdha Panigrahi, Guo Yu +1
Additive models enjoy the flexibility of nonlinear models while still being readily understandable to humans. By contrast, other nonlinear models, which involve interactions betwee…
Pareto-wise Ranking Classifier for Multi-objective Evolutionary Neural Architecture Search
Lianbo Ma, Nan Li, Guo Yu +3
In the deployment of deep neural models, how to effectively and automatically find feasible deep models under diverse design objectives is fundamental. Most existing neural archite…
Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models
Wenting Chen, Guo Yu, Yiu-Fai Cheung +5
Large language models (LLMs) show significant potential in healthcare, prompting numerous benchmarks to evaluate their capabilities. However, concerns persist regarding the reliabi…
Controlling Costs: Feature Selection on a Budget
Guo Yu, Daniela Witten, Jacob Bien
The traditional framework for feature selection treats all features as costing the same amount. However, in reality, a scientist often has considerable discretion regarding which v…
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training
Lianbo Ma, Yuee Zhou, Jianlun Ma +2
Weight quantization is an effective technique to compress deep neural networks for their deployment on edge devices with limited resources. Traditional loss-aware quantization meth…
Evidence for a Monolayer Excitonic Insulator
Yanyu Jia, Pengjie Wang, Cheng-Li Chiu +19
The interplay between topology and correlations can generate a variety of quantum phases, many of which remain to be explored. Recent advances have identified monolayer WTe2 as a p…
GSGTrack: Gaussian Splatting-Guided Object Pose Tracking from RGB Videos
Zhiyuan Chen, Fan Lu, Guo Yu +5
Tracking the 6DoF pose of unknown objects in monocular RGB video sequences is crucial for robotic manipulation. However, existing approaches typically rely on accurate depth inform…
One-Dimensional Luttinger Liquids in a Two-Dimensional Moiré Lattice
Pengjie Wang, Guo Yu, Yves H. Kwan +13
The Luttinger liquid (LL) model of one-dimensional (1D) electronic systems provides a powerful tool for understanding strongly correlated physics including phenomena such as spin-c…
Convex Estimation of Gaussian Graphical Regression Models with Covariates
Ruobin Liu, Guo Yu
Gaussian graphical models (GGMs) are widely used to recover the conditional independence structure among random variables. Recent work has sought to incorporate auxiliary covariate…
Moment-Based Selection of Multiresponse Linear Mixed-Effects Models
Yifan Chen, Yuedong Wang, Guo Yu
We propose MOMENT (\textbf{MO}ment-Based \textbf{M}ixed-\textbf{E}ffects Selectio\textbf{N} and Es\textbf{T}imation), a stage-wise moment-based framework that exploits second-order…
Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models
Shaonan Liu, Guo Yu, Xiaoling Luo +4
Medical Multimodal Large Language Models (Med-MLLMs) require egocentric clinical intent understanding for real-world deployment, yet existing benchmarks fail to evaluate this criti…
An Interpretable Hybrid Predictive Model of COVID-19 Cases using Autoregressive Model and LSTM
Yangyi Zhang, Sui Tang, Guo Yu
The Coronavirus Disease 2019 (COVID-19) has a profound impact on global health and economy, making it crucial to build accurate and interpretable data-driven predictive models for…
A Cascade Dual-Decoder Model for Joint Entity and Relation Extraction
Jian Cheng, Tian Zhang, Shuang Zhang +5
In knowledge graph construction, a challenging issue is how to extract complex (e.g., overlapping) entities and relationships from a small amount of unstructured historical data. T…
Analysis on the Influence of Synchronization Error on Fixed-filter Active Noise Control
Guo Yu
The efficacy of active noise control technology in mitigating urban noise, particularly in relation to low-frequency components, has been well-established. In the realm of traditio…
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture Search
Guoyang Xie, Jinbao Wang, Guo Yu +2
Due to limited computational cost and energy consumption, most neural network models deployed in mobile devices are tiny. However, tiny neural networks are commonly very vulnerable…
RSRA: Training-Free Probing of Representation Sensitivity for Efficient LoRA Rank Allocation
Jiaqi Liu, Haidong Kang, Qihui Zhao +2
Parameter-efficient fine-tuning enables large language models to adapt to downstream tasks with substantially lower computational and storage cost, and Low-Rank Adaptation (LoRA) i…
Mamba4Net: Distilled Hybrid Mamba Large Language Models For Networking
Linhan Xia, Mingzhan Yang, Jingjing Wang +4
Transformer-based large language models (LLMs) are increasingly being adopted in networking research to address domain-specific challenges. However, their quadratic time complexity…
Towards Fairness-Aware Multi-Objective Optimization
Guo Yu, Lianbo Ma, Wei Du +2
Recent years have seen the rapid development of fairness-aware machine learning in mitigating unfairness or discrimination in decision-making in a wide range of applications. Howev…
Anomalous Superconductivity in Twisted MoTe2 Nanojunctions
Yanyu Jia, Tiancheng Song, Zhaoyi Joy Zheng +14
Introducing superconductivity in topological materials can lead to innovative electronic phases and device functionalities. Here, we present a new strategy for quantum engineering…
Sparse Positive-Definite Estimation for Covariance Matrices with Repeated Measurements
Sunpeng Duan, Guo Yu, Juntao Duan +1
Repeated measurements are common in many fields, where random variables are observed repeatedly across different subjects. Such data have an underlying hierarchical structure, and…
AerialClaw: An Open-Source Framework for LLM-Driven Autonomous Aerial Agents
Ke Li, Jianfei Yang, Luyao Zhang +8
Unmanned aerial vehicles (UAVs) are increasingly used in inspection, search and rescue, environmental monitoring, and emergency response. However, most UAV applications still rely…
Y-BotFrame: An Extensible Embodied Agent Framework for Quadruped Robot Assistants
Luyao Zhang, Ke Li, Yuan Ding +9
Quadruped robots are capable of traversing a wide range of complex terrains with high flexibility. As highly mobile ground-based intelligent platforms, they can be equipped with mo…
Large Thermopower with Sign-Alternating Quantum Oscillations in Insulating Monolayer WTe2
Yue Tang, Tiancheng Song, Haosen Guan +13
The detection of Landau-level-like energy structures near the chemical potential of an insulator is essential to the search for a class of correlated electronic matter hosting char…
Unconventional Superconducting Phase Diagram of Monolayer WTe2
Tiancheng Song, Yanyu Jia, Guo Yu +13
The existence of a quantum critical point (QCP) and fluctuations around it are believed to be important for understanding the phase diagram in unconventional superconductors such a…
UrbanCraft: Urban View Extrapolation via Hierarchical Sem-Geometric Priors
Tianhang Wang, Fan Lu, Sanqing Qu +5
Existing neural rendering-based urban scene reconstruction methods mainly focus on the Interpolated View Synthesis (IVS) setting that synthesizes from views close to training camer…
Surface-Confined Two-Dimensional Crystal Growth on a Monolayer
Yanyu Jia, Fang Yuan, Guangming Cheng +12
Conventional vapor deposition or epitaxial growth of two-dimensional (2D) materials and heterostructures is conducted in a large chamber in which masses transport from the source t…
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues
Nan Li, Lianbo Ma, Guo Yu +3
Over recent years, there has been a rapid development of deep learning (DL) in both industry and academia fields. However, finding the optimal hyperparameters of a DL model often n…