Yang Zhou

Fast Wave-optics Rendering of Multiplane Images for 3D Holographic Displays

Brian Chao, Dario Seyb, Nathan Matsuda, Oliver Cossairt, Yang Zhou, Douglas Lanman, et al.

Recent advances in neural rendering have unlocked unprecedented capabilities in 3D reconstruction and novel view synthesis, giving rise to applications such as virtual fly-throughs of a 3D scene reconstructed from a set of sparse, casually captured images. However, these renderin…Read more

PoseAlign: Sculpting Pose-Consistent Meshes via Text-Guided Deformation

Shijin Wang, Zichong Chen, Yang Zhou, Hui Huang

Mesh deformation, the process of altering the vertex positions of a 3D mesh while preserving its topological structure, is a cornerstone of computer graphics. Despite the recent emergence of numerous text-guided 3D mesh deformation methods, deforming an initial mesh into one that…Read more

OpenLongTail: Generative Scaling of Long-Tail Driving Data

Lulin Liu, Nuo Chen, Yan Wang, Bangya Liu, Wenyan Cong, Hezhen Hu, et al.

Scaling robust driving policies is fundamentally bottlenecked by the scarcity of edge cases in curated datasets. While the real world continuously captures these critical events, such long-tail events remain underutilized when collected from heterogeneous sources. Specifically, d…Read more

Towards Precision Therapy in Hepatocellular Carcinoma: A Clinical-Reasoning LLM for Risk Stratification and Treatment Guidance

Peng Cui, Jitao Wang, Siyan Xue, Yao Huang, Haoming Xia, Dong Li, et al.

Hepatocellular carcinoma (HCC) is a common malignancy and a leading cause of cancer-related mortality. Current guidelines and staging systems provide coarse categories, but often miss within-stage heterogeneity and the clinical context in electronic medical records (EMRs). We pre…Read more

Integrated Automated Car Following and Lane-changing control based on a Parametrized Deep Q-network with Hybrid Action Space

Hao Zhang, Zihao Li, Yang Zhou

Lane-change, a triggering of traffic disturbances to the upstream vehicles, is detrimental to traffic safety and efficiency. Coupled with car-following behavior, the joint maneuvers depict the general picture of how traffic disturbances generate and propagate through vehicle stre…Read more

DS-MTNet:Structured Multi-Task EEG Decoding for Human-Machine Collaboration

Xinjia Yu, Yang Zhou, Jing Yang, Tielin Shi, Tao Cheng

Current human-machine collaboration (HMC) systems rely on environment-facing sensors to observe visible actions and scene states, but the internal perceptual, intention-related, and state-related processes of operators remain insufficiently integrated into machine perception. Ele…Read more

Explainable Novel Category Discovery in Semantic Concept Space

Ifrat Ikhtear Uddin, Yang Zhou, KC Santosh, Longwei Wang

Novel category discovery aims to identify unseen classes from unlabeled data by transferring knowledge from labeled categories, but most existing methods perform discovery in opaque latent feature spaces. As a result, they may separate novel categories accurately while providing…Read more

Longitudinal-Motion-Aware Lateral Control for Autonomous Vehicles: A Robust Nonlinear Control Framework

Sixu Li, Nitesh Kumar, Reyshwanth Ganeshan, Sivakumar Rathinam, Swaroop Darbha, Yang Zhou

As autonomous vehicles (AVs) operate in increasingly dynamic traffic conditions, lateral control must be performed while longitudinal speed and acceleration vary. Yet many existing lateral controllers rely on constant-speed or operating-point-based assumptions, which can degrade…Read more

SUMO: Segment and Track Any Motion with Nonlinear State Space Models

Kexin Tian, Sixu Li, Keshu Wu, Yang Zhou, Zhengzhong Tu

Visual Object Tracking (VOT) and Moving Object Segmentation (MOS) are two fundamental tasks in computer vision that involve both spatial and temporal object dynamics. Existing methods rely predominantly on visual cues and thus often falter in real-world scenarios where object mot…Read more

Lateral String Stability for Vehicle Platoons

Sixu Li, Swaroop Darbha, Yang Zhou

Connected and automated vehicle (CAV) platooning promises gains in energy efficiency and traffic throughput and, most critically, in safety. These safety benefits hinge on string stability, which determines how disturbances propagate along a platoon. While longitudinal string sta…Read more

A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models

Nuo Chen, Lulin Liu, Zihao Li, Ziyao Zeng, Zihao Zhu, Wenyan Cong, et al.

Generative world models hold immense promise as scalable simulators for autonomous systems, particularly for synthesizing rare but safety-critical multi-agent interactions, such as vehicle collisions. However, current evaluation paradigms index heavily on visual fidelity and sema…Read more

A Cloud-native Hybrid AGA-NSGA-II Framework for Energy-Efficient Resource Allocation in 5G HetNets

Chen Chen, Lixin Lan, Yang Zhou, Shuqiang Wang, Zhi Xu, Yoong Choon Chang, et al.

Graph Neural Network Based Asynchronous Federated Learning for Digital Twin-Driven Distributed Multi-Agent Dynamical Systems

Xuanzhu Sheng, Yang Zhou, Xiaolong Cui

The rapid development of artificial intelligence (AI) and 5G paradigm brings infinite possibilities for data annotation for new applications in the industrial Internet of Things (IIoT). However, the problem of data annotation consistency under distributed architectures and growin…Read more