42 citations · 61 across the 27 of their papers we have counts for
31 papers
Sleep Sound Event Detection Powered by Learnable Multi-Resolution Adaptive Line Enhancer
Chanwoo Park, Chanwoo Kim
Sleep-disordered breathing, including snoring, hypopnea, and obstructive apnea, is the hallmark of obstructive sleep apnea, whose severity is quantified by the Apnea-Hypopnea Index…
WAM-Cache: Staleness-Bounded KV Reuse for Efficient World Action Models
Kai Ding, Yang He, Ruijie Quan +1
World Action Models (WAMs) enable generalist robot manipulation by conditioning an action expert on representations from a pretrained video Diffusion Transformer (DiT). In closed-l…
Beyond the Transcriptome: Chromatin-Informed Prediction of Cell-State-Dependent Perturbation Responses
Jiafa Ruan, Chenyang He, Ruijie Quan +3
Predicting transcriptional responses to genetic perturbations is central to understanding gene function. Existing predictors primarily rely on transcriptomic measurements, although…
PDE-JEPA: Predictive Representation Learning of Latent Dynamics Modeling for Parametric PDEs
Zhentao Tan, Jianrong Zhang, Ruijie Quan +1
Physical trajectories contain more than snapshots of a system: they also reveal how its states evolve under governing conditions. However, representation learning for parametric pa…
LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation
Yixuan Ding, Jiahao Kong, Wei Huang +2
Autoregressive video diffusion enables scalable long-video generation by producing chunks from a bounded recent context. While recency-based caching preserves local continuity, it…
Beyond Pixels: From Video Priors to 4D Worlds
Zihao Liu, Xiaolong Shen, Zhenglin Zhou +2
4D generation synthesizes dynamic 3D scenes from conditions such as text or images. Existing methods either reconstruct generated RGB videos with a separate 4D model or adapt a par…
From Points to Edges: Edge-Conditioned Spectral Operators for Physics-Sensitive PDE Learning
Zhentao Tan, Ruijie Quan, Yi Yang
Neural operators have become a central tool for solving partial differential equations (PDEs), with spectral operators offering efficient global mixing across spatial locations. Ho…
SpecLoR: Spectral Lookahead Rectification for Motion-Coherent Text-to-Video Generation
Xu Zhang, Yu Lu, Ruijie Quan +3
Flow Matching has enabled robust text-to-video generation via latent ODE sampling. However, velocity approximation and numerical discretization errors inevitably accumulate, causin…
Is This Edit Correct? A Multi-Dimensional Benchmark for Reasoning-Aware Image Editing
Yixuan Ding, Wei Huang, Ruijie Quan +2
Diffusion-based image editing has achieved strong visual fidelity under natural language instructions, yet most existing systems still operate at the level of surface instruction f…
UniGeo: Unifying Geometric Guidance for Camera-Controllable Image Editing via Video Models
Hong Jiang, Wensong Song, Zongxin Yang +2
Camera-controllable image editing aims to synthesize novel views of a given scene under varying camera poses while strictly preserving cross-view geometric consistency. However, ex…
Echoes of ownership: Adversarial-guided dual injection for copyright protection in MLLMs
Chengwei Xia, Fan Ma, Ruijie Quan +3
With the rapid deployment of multimodal large language models (MLLMs), disputes regarding model ownership have become increasingly frequent, raising significant concerns about inte…
Beyond Independent Genes: Learning Module-Inductive Representations for Single-Cell Gene Perturbation Prediction
Jiafa Ruan, Ruijie Quan, Liyang Xu +2
Predicting transcriptional responses to genetic perturbations is a central problem in functional genomics. In practice, perturbation responses are rarely gene-independent but inste…
Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction
Xu Zhang, Ruijie Quan, Wenguan Wang +1
Reconstructing visual stimuli from fMRI signals is a central challenge bridging machine learning and neuroscience. Recent diffusion-based methods typically map fMRI activity to a s…
Dynamic Experts Search: Enhancing Reasoning in Mixture-of-Experts LLMs at Test Time
Yixuan Han, Fan Ma, Ruijie Quan +1
Test-Time Scaling (TTS) enhances the reasoning ability of large language models (LLMs) by allocating additional computation during inference. However, existing approaches primarily…
Adversarial-Guided Diffusion for Multimodal LLM Attacks
Chengwei Xia, Fan Ma, Ruijie Quan +2
This paper addresses the challenge of generating adversarial image using a diffusion model to deceive multimodal large language models (MLLMs) into generating the targeted response…
Insert Anything: Image Insertion via In-Context Editing in DiT
Wensong Song, Hong Jiang, Zongxing Yang +2
This work presents Insert Anything, a unified framework for reference-based image insertion that seamlessly integrates objects from reference images into target scenes under flexib…
TarPro: Targeted Protection against Malicious Image Editing
Kaixin Shen, Ruijie Quan, Jiaxu Miao +2
The rapid advancement of image editing techniques has raised concerns about their misuse for generating Not-Safe-for-Work (NSFW) content. This necessitates a targeted protection me…
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
Zhibo Tian, Ruijie Quan, Fan Ma +2
Reconstructing perceived images from human brain activity forms a crucial link between human and machine learning through Brain-Computer Interfaces. Early methods primarily focused…
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion
Honglei Miao, Fan Ma, Ruijie Quan +2
Human motion generation driven by deep generative models has enabled compelling applications, but the ability of text-to-motion (T2M) models to produce realistic motions from text…
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data
Tuo Feng, Wenguan Wang, Ruijie Quan +1
Current 3D self-supervised learning methods of 3D scenes face a data desert issue, resulting from the time-consuming and expensive collecting process of 3D scene data. Conversely,…
General and Task-Oriented Video Segmentation
Mu Chen, Liulei Li, Wenguan Wang +2
We present GvSeg, a general video segmentation framework for addressing four different video segmentation tasks (i.e., instance, semantic, panoptic, and exemplar-guided) while main…
AudioScenic: Audio-Driven Video Scene Editing
Kaixin Shen, Ruijie Quan, Linchao Zhu +2
Audio-driven visual scene editing endeavors to manipulate the visual background while leaving the foreground content unchanged, according to the given audio signals. Unlike current…
Neural Interaction Energy for Multi-Agent Trajectory Prediction
Kaixin Shen, Ruijie Quan, Linchao Zhu +2
Maintaining temporal stability is crucial in multi-agent trajectory prediction. Insufficient regularization to uphold this stability often results in fluctuations in kinematic stat…
Clustering for Protein Representation Learning
Ruijie Quan, Wenguan Wang, Fan Ma +2
Protein representation learning is a challenging task that aims to capture the structure and function of proteins from their amino acid sequences. Previous methods largely ignored…