Publications (30)
Characterizing Visual Intents for People with Low Vision through Eye Tracking
Ru Wang, Ruijia Chen, Anqiao Erica Cai +3
Accessing visual information is crucial yet challenging for people with low vision due to visual conditions like low visual acuity and limited visual fields. However, unlike blind…
GazePrompt: Enhancing Low Vision People's Reading Experience with Gaze-Aware Augmentations
Ru Wang, Zach Potter, Yun Ho +4
Reading is a challenging task for low vision people. While conventional low vision aids (e.g., magnification) offer certain support, they cannot fully address the difficulties face…
Approximating First Hitting Point Distribution in Milestoning for Rare Event Kinetics
Ru Wang, Hao Wang, Wenjian Liu +1
Milestoning is an efficient method for rare event kinetics calculation using short trajectory parallelization. Mean first passage time (MFPT) is the key kinetic output of Milestoni…
Fast and accurate committor estimation for kinetics simulations
Ru Wang, Xiaojun Ji, Hao Wang +1
Computing long-timescale kinetics of biomolecular processes remains a major challenge for atomistic simulations. A way out is to exploit local kinetic information to construct the…
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
Ren Yang, Radu Timofte, Jing Liu +69
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Di…
Kinetic network in Milestoning: Clustering, reduction, and transition path analysis
Ru Wang, Xiaojun Ji, Hao Wang +1
We present a reduction of Milestoning (ReM) algorithm to analyze the high-dimensional Milestoning kinetic network. The algorithm reduces the Milestoning network to low dimensions b…
Join Sampling under Acyclic Degree Constraints and (Cyclic) Subgraph Sampling
Ru Wang, Yufei Tao
Given a join with an acyclic set of degree constraints, we show how to draw a uniformly random sample from the join result in expec…
Molecule-induced surface second-order nonlinearity in an inversion symmetric microcavity
Ru Wang, Yue Dai, Jinsong Cheng +2
Inversion symmetry eliminates the second-order nonlinear responses in materials commonly used in silicon photonics with electric-dipole approximation. The lack of effective methods…
Self-Harmony: Learning to Harmonize Self-Supervision and Self-Play in Test-Time Reinforcement Learning
Ru Wang, Wei Huang, Qi Cao +3
Test-time reinforcement learning (TTRL) offers a label-free paradigm for adapting models using only synthetic signals at inference, but its success hinges on constructing reliable…
Stability and convergence of relaxed scalar auxiliary variable schemes for Cahn-Hilliard systems with bounded mass source
Kei Fong Lam, Ru Wang
The scalar auxiliary variable (SAV) approach of Shen et al. (2018), which presents a novel way to discretize a large class of gradient flows, has been extended and improved by many…
Understanding How Low Vision People Read Using Eye Tracking
Ru Wang, Linxiu Zeng, Xinyong Zhang +2
While being able to read with screen magnifiers, low vision people have slow and unpleasant reading experiences. Eye tracking has the potential to improve their experience by recog…
Learning Not to Learn in the Presence of Noisy Labels
Liu Ziyin, Blair Chen, Ru Wang +4
Learning in the presence of label noise is a challenging yet important task: it is crucial to design models that are robust in the presence of mislabeled datasets. In this paper, w…
Convergence of least energy sign-changing solutions for logarithmic Schrödinger equations on locally finite graphs
Xiaojun Chang, VicenÅ£iu D. RÄdulescu, Ru Wang +1
In this paper, we study the following logarithmic Schrödinger equation \[ -Îu+λa(x)u=u\log u^2\ \ \ \ \mbox{ in }V \] on a connected locally finite graph , where d…
Peer attention enhances student learning
Songlin Xu, Dongyin Hu, Ru Wang +1
Human visual attention is susceptible to social influences. In education, peer effects impact student learning, but their precise role in modulating attention remains unclear. Our…
A dual modelling of evolving political opinion networks
Ru Wang, Qiuping Alexandre Wang
We present the result of a dual modeling of opinion network. The model complements the agent-based opinion models by attaching to the social agent (voters) network a political opin…
On the Convergence of Stochastic Low-Rank Adaptation
Ru Wang, Chengchang Liu, John C. S. Lui
Low-rank adaptation (LoRA) optimizes over two adapters and that form a low-…
Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
Ru Wang, Wei Huang, Selena Song +5
Generalization to novel compound tasks under distribution shift is important for deploying transformer-based language models (LMs). This work investigates Chain-of-Thought (CoT) re…
On Committor Functions in Milestoning
Xiaojun Ji, Ru Wang, Hao Wang +1
As an optimal one-dimensional reaction coordinate, the committor function not only describes the probability of a trajectory initiated at a phase space point first reaching the pro…
"It was Mentally Painful to Try and Stop": Design Opportunities for Just-in-Time Interventions for People with Obsessive-Compulsive Disorder in the Real World
Ru Wang, Kexin Zhang, Yuqing Wang +2
Obsessive-compulsive disorder (OCD) is a mental health condition that significantly impacts people's quality of life. While evidence-based therapies such as exposure and response p…
Characterizing Barriers and Technology Needs in the Kitchen for Blind and Low Vision People
Ru Wang, Nihan Zhou, Tam Nguyen +3
Cooking is a vital yet challenging activity for people with visual impairments (PVI). It involves tasks that can be dangerous or difficult without vision, such as handling a knife…
Is it possible to formulate least action principle for dissipative systems?
Qiuping A. Wang, Ru Wang
A longstanding open question in classical mechanics is to formulate the least action principle for dissipative systems. In this work, we give a general formulation of this principl…
Approximate Random Dropout
Zhuoran Song, Ru Wang, Dongyu Ru +5
The training phases of Deep neural network~(DNN) consumes enormous processing time and energy. Compression techniques utilizing the sparsity of DNNs can effectively accelerate the…
Stretchable and self-adhesive triboelectric sensor for real-time musculoskeletal monitoring and personalized recovery
Cai Lin, Yunyi Ding, Kai Lin +3
Recent advances in medical diagnostics have highlighted the importance of wearable technologies for continuous and real-time physiological monitoring. In this study, we introduce a…
Learning directed acyclic graphs via bootstrap aggregating
Ru Wang, Jie Peng
Probabilistic graphical models are graphical representations of probability distributions. Graphical models have applications in many fields including biology, social sciences, lin…
Towards High-resolution and Disentangled Reference-based Sketch Colorization
Dingkun Yan, Xinrui Wang, Ru Wang +5
Sketch colorization is a critical task for automating and assisting in the creation of animations and digital illustrations. Previous research identified the primary difficulty as…
Characterizing Collective Efforts in Content Sharing and Quality Control for ADHD-relevant Content on Video-sharing Platforms
Hanxiu 'Hazel' Zhu, Avanthika Senthil Kumar, Sihang Zhao +3
Video-sharing platforms (VSPs) have become increasingly important for individuals with ADHD to recognize symptoms, acquire knowledge, and receive support. While videos offer rich i…
Generating Unseen Nonlinear Evolution in Sea Surface Temperature Using a Deep Learning-Based Latent Space Data Assimilation Framework
Qingyu Zheng, Guijun Han, Wei Li +9
Advances in data assimilation (DA) methods have greatly improved the accuracy of Earth system predictions. To fuse multi-source data and reconstruct the nonlinear evolution missing…
Numerical study of path probability for stochastic motion of non dissipative systems
Tongling Lin, Ru Wang, W. P. Bi +4
The path probability of stochastic motion of non dissipative or quasi-Hamiltonian systems is investigated by numerical experiment. The simulation model generates ideal one-dimensio…
Ground states for logarithmic Schrödinger equations on locally finite graphs
Xiaojun Chang, Ru Wang, Duokui Yan
In this paper, we study the following logarithmic Schrödinger equation \[ -Îu+a(x)u=u\log u^2\ \ \ \ \mbox{in }V, \] where is the graph Laplacian, is a connected l…
A note on logistic regression and logistic kernel machine models
Ru Wang, Jie Peng, Pei Wang
This is a note on logistic regression models and logistic kernel machine models. It contains derivations to some of the expressions in a paper -- SNP Set Analysis for Detecting Dis…