papers

Publications (33)

math-ph2014

Dimer-monomer Model on the Towers of Hanoi Graphs

Hanlin Chen, Renfang Wu, Guihua Huang +1

The number of dimer-monomers (matchings) of a graph is an important graph parameter in statistical physics. Following recent research, we study the asymptotic behavior of the n…

cs.CV2024

UNIKD: UNcertainty-filtered Incremental Knowledge Distillation for Neural Implicit Representation

Mengqi Guo, Chen Li, Hanlin Chen +1

Recent neural implicit representations (NIRs) have achieved great success in the tasks of 3D reconstruction and novel view synthesis. However, they require the images of a scene fr…

cs.CV2020

Binarized Neural Architecture Search for Efficient Object Recognition

Hanlin Chen, Li'an Zhuo, Baochang Zhang +5

Traditional neural architecture search (NAS) has a significant impact in computer vision by automatically designing network architectures for various tasks. In this paper, binarize…

math.CO2014

Tutte polynomial of a fractal scale-free lattice

Hanlin Chen, Yuanhua Liao, Hanyuan Deng

The Tutte polynomial of a graph, or equivalently the -state Potts model partition function, is a two-variable polynomial graph invariant of considerable importance in both combi…

cs.CV2026

UrbanGS: A Scalable and Efficient Architecture for Geometrically Accurate Large-Scene Reconstruction

Changbai Li, Haodong Zhu, Hanlin Chen +6

While 3D Gaussian Splatting (3DGS) enables high-quality, real-time rendering for bounded scenes, its extension to large-scale urban environments gives rise to critical challenges i…

cs.CV2024

GOV-NeSF: Generalizable Open-Vocabulary Neural Semantic Fields

Yunsong Wang, Hanlin Chen, Gim Hee Lee

Recent advancements in vision-language foundation models have significantly enhanced open-vocabulary 3D scene understanding. However, the generalizability of existing methods is co…

physics.plasm-ph2026

Direct Optimization of Stellarator Omnigenity from the Second Adiabatic Invariant

Hanlin Chen, Zhiyuan Lu, Guosheng Xu +4

Stellarators offer a steady-state, disruption-free path to fusion energy but suffer from enhanced particle losses due to their three-dimensional geometry. Existing optimization met…

cs.CV2025

Generalizable Human Gaussians from Single-View Image

Jinnan Chen, Chen Li, Jianfeng Zhang +4

In this work, we tackle the task of learning 3D human Gaussians from a single image, focusing on recovering detailed appearance and geometry including unobserved regions. We introd…

cs.CR2023

DCA: Delayed Charging Attack on the Electric Shared Mobility System

Shuocheng Guo, Hanlin Chen, Mizanur Rahman +1

An efficient operation of the electric shared mobility system (ESMS) relies heavily on seamless interconnections among shared electric vehicles (SEV), electric vehicle supply equip…

math.GM2023

Note on VDB Topological Indices of k-Cyclic Graphs

Hechao Liu, Zenan Du, Yufei Huang +2

Let be a connected graph with vertices and edges. The vertex-degree-based topological index (VDB) (or graphical function-index) of with edge-weight function…

cs.CV2026

SPIRAL: Self-Evolving Action-Conditioned Video Generation via Reflective Planning Agents

Yu Yang, Yue Liao, Jianbiao Mei +11

Long-horizon action-conditioned video generation aims to synthesize temporally coherent videos that follow complex action instructions over extended horizons, requiring procedural…

cs.CV2020

Cogradient Descent for Bilinear Optimization

Li'an Zhuo, Baochang Zhang, Linlin Yang +5

Conventional learning methods simplify the bilinear model by regarding two intrinsically coupled factors independently, which degrades the optimization procedure. One reason lies i…

cs.CV2024

VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

Hanlin Chen, Fangyin Wei, Chen Li +3

Although 3D Gaussian Splatting has been widely studied because of its realistic and efficient novel-view synthesis, it is still challenging to extract a high-quality surface from t…

cs.GR2025

Surf3R: Rapid Surface Reconstruction from Sparse RGB Views in Seconds

Haodong Zhu, Changbai Li, Yangyang Ren +5

Current multi-view 3D reconstruction methods rely on accurate camera calibration and pose estimation, requiring complex and time-intensive pre-processing that hinders their practic…

cs.CV2025

FreeSplat++: Generalizable 3D Gaussian Splatting for Efficient Indoor Scene Reconstruction

Yunsong Wang, Tianxin Huang, Hanlin Chen +1

Recently, the integration of the efficient feed-forward scheme into 3D Gaussian Splatting (3DGS) has been actively explored. However, most existing methods focus on sparse view rec…

cs.CR2025

Impact Analysis of Inference Time Attack of Perception Sensors on Autonomous Vehicles

Hanlin Chen, Simin Chen, Wenyu Li +2

As a safety-critical cyber-physical system, cybersecurity and related safety issues for Autonomous Vehicles (AVs) have been important research topics for a while. Among all the mod…

cs.CV2025

HRGS: Hierarchical Gaussian Splatting for Memory-Efficient High-Resolution 3D Reconstruction

Changbai Li, Haodong Zhu, Hanlin Chen +6

3D Gaussian Splatting (3DGS) has made significant strides in real-time 3D scene reconstruction, but faces memory scalability issues in high-resolution scenarios. To address this, w…

cs.CV2026

TuringViT: Making SOTA Vision Transformers Accessible to All

Qiman Wu, Hanlin Chen, Lyujie Chen +19

Modern VLMs and VLA systems commonly adopt off-the-shelf ViTs such as SigLIP2 as visual encoders, but diverse downstream requirements in latency, temporal modeling, and VLM integra…

cs.CV2020

CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks

Li'an Zhuo, Baochang Zhang, Hanlin Chen +4

Neural architecture search (NAS) proves to be among the best approaches for many tasks by generating an application-adaptive neural architecture, which is still challenged by high…

cs.RO2022

A Cooperative Perception Environment for Traffic Operations and Control

Hanlin Chen, Brian Liu, Xumiao Zhang +3

Existing data collection methods for traffic operations and control usually rely on infrastructure-based loop detectors or probe vehicle trajectories. Connected and automated vehic…

cs.CV2024

FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes

Yunsong Wang, Tianxin Huang, Hanlin Chen +1

Empowering 3D Gaussian Splatting with generalization ability is appealing. However, existing generalizable 3D Gaussian Splatting methods are largely confined to narrow-range interp…

q-bio.BM2004

Hidden symmetries in primary sequences of small alpha proteins

Ruizhen Xu, Yanzhao Huang, Mingfen Li +2

Proteins have regular tertiary structures but irregular amino acid sequences. This made it very difficult to decode the structural information in the protein sequences. Here we dem…

math.CO2021

On the first three minimum Mostar indices of tree-like phenylenes

Hechao Liu, Lihua You, Hanlin Chen +1

Let be a simple connected graph with its vertex set and edge set . The Mostar index was defined as $Mo(G)=\sum\limits_{e=uv\in E(G)}|n_{u…

cs.CV2020

Binarized Neural Architecture Search

Hanlin Chen, Li'an Zhuo, Baochang Zhang +4

Neural architecture search (NAS) can have a significant impact in computer vision by automatically designing optimal neural network architectures for various tasks. A variant, bina…

cs.CV2023

GNeSF: Generalizable Neural Semantic Fields

Hanlin Chen, Chen Li, Mengqi Guo +2

3D scene segmentation based on neural implicit representation has emerged recently with the advantage of training only on 2D supervision. However, existing approaches still require…

cs.RO2023

Improving Autonomous Vehicle Mapping and Navigation in Work Zones Using Crowdsourcing Vehicle Trajectories

Hanlin Chen, Renyuan Luo, Yiheng Feng

Prevalent solutions for Connected and Autonomous vehicle (CAV) mapping include high definition map (HD map) or real-time Simultaneous Localization and Mapping (SLAM). Both methods…

cs.HC2025

PlanGlow: Personalized Study Planning with an Explainable and Controllable LLM-Driven System

Jiwon Chun, Yankun Zhao, Hanlin Chen +1

Personal development through self-directed learning is essential in today's fast-changing world, but many learners struggle to manage it effectively. While AI tools like large lang…

cs.CV2026

Robust Dreamer: Deviation-Aware Latent Gaussian Memory for Action-Controlled AR Video Generation

Hanlin Chen, Jiaxin Wei, Xibin Song +5

Frame-wise action-controlled image-to-video generation is a promising paradigm for interactive world simulation, where each control signal should elicit an immediate visual respons…

cs.CV2024

ChatSplat: 3D Conversational Gaussian Splatting

Hanlin Chen, Fangyin Wei, Gim Hee Lee

Humans naturally interact with their 3D surroundings using language, and modeling 3D language fields for scene understanding and interaction has gained growing interest. This paper…

cs.CV2020

Anti-Bandit Neural Architecture Search for Model Defense

Hanlin Chen, Baochang Zhang, Song Xue +4

Deep convolutional neural networks (DCNNs) have dominated as the best performers in machine learning, but can be challenged by adversarial attacks. In this paper, we defend against…

cs.CV2025

NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance

Hanlin Chen, Chen Li, Yunsong Wang +1

Existing neural implicit surface reconstruction methods have achieved impressive performance in multi-view 3D reconstruction by leveraging explicit geometry priors such as depth ma…

math.CO2017

Bounds on some monotonic topological indices of bipartite graphs with a given number of cut edges

Hanlin Chen, Renfang Wu, Hanyuan Deng

Let be a topological index of a graph. If (or , respectively) for each edge , then is monotonically decreasing (or increasing,…

cs.RO2025

An Advanced Framework for Ultra-Realistic Simulation and Digital Twinning for Autonomous Vehicles

Yuankai He, Hanlin Chen, Weisong Shi

Simulation is a fundamental tool in developing autonomous vehicles, enabling rigorous testing without the logistical and safety challenges associated with real-world trials. As aut…