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Hao Deng

9 accepted papers

2026

SiMO: Single-Modality-Operable Multimodal Collaborative Perception

ICLR 2026poster

Collaborative perception integrates multi-agent perspectives to enhance the sensing range and overcome occlusion issues. While existing multimodal approaches leverage complementary sensors to improve performance, they are highly prone to failure—especially when a key sensor like LiDAR is unavailable…

Cited by 0SourcecodeScholar
2025

Align-A-Video: Deterministic Reward Tuning of Image Diffusion Models for Consistent Video Editing

CVPR 2025poster

Due to control limitations in the denoising process and the lack of training, zero-shot video editing methods often struggle to meet user instructions, resulting in generated videos that are visually unappealing and fail to fully satisfy expectations. To address this problem, we propose Align-A-Vide…

Cited by 0SourcePDFScholar
2025

Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery

AAAI 2025technical

Partially linear models (PLM) have attracted much attention in the field of statistical machine learning. Specially, the ability of variable selection of PLM has been studied extensively due to the high requirement of model interpretability. However, few of the existing works concerns the false disc…

Cited by 0SourcePDFScholar
2025

Trajectory-Dependent Generalization Bounds for Pairwise Learning with φ-mixing Samples

IJCAI 2025

Recently, the mathematical tool from fractal geometry (i.e., fractal dimension) has been employed to investigate optimization trajectory-dependent generalization ability for some pointwise learning models with independent and identically distributed (i.i.d.) observations. This paper goes beyond the

Cited by 0SourcePDFScholar
2024

LinNet: Linear Network for Efficient Point Cloud Representation Learning

NeurIPS 2024poster

Point-based methods have made significant progress, but improving their scalability in large-scale 3D scenes is still a challenging problem. In this paper, we delve into the point-based method and develop a simpler, faster, stronger variant model, dubbed as LinNet. In particular, we first propose th…

Cited by 1SourcePDFScholar
2023

Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization

NeurIPS 2023poster

Federated zeroth-order optimization (FedZO) algorithm enjoys the advantages of both zeroth-order optimization and federated learning, and has shown exceptional performance on black-box attack and softmax regression tasks. However, there is no generalization analysis for FedZO, and its analysis on co…

Cited by 10SourcePDFScholar
2021

Co-Optimization of Morphology and Actuation Parameters of Multi-Sectional FREEs for Trajectory Matching

RA-L 2021

Fiber Reinforced Elastomeric Enclosures (FREEs) have gained significant popularity as a form of soft artificial muscle for the diversified deformation behaviors upon pressurization. In particular, modular FREEs connected in series, demonstrate enhanced flexibility and reconfigurability, thus are ada

Cited by 1SourceScholar
2016

Development of a robotic system for orthodontic archwire bending

ICRA 2016

Customized archwires are demanded in the lingual orthodontic treatment for patients suffering from malocclusion. Traditionally, these archwires could only be bent by experienced orthodontists manually. This pattern requires a specialized skills training and occupies long charside time, but still can

Cited by 16SourceScholar
2015

Motion planning and control of a robotic system for orthodontic archwire bending

IROS 2015poster

In clinics, customized archwires are demanded for lingual orthodontic treatment. However, only very experienced orthodontists can handle the manual appliance preparation. This pattern not only occupies lots of the orthodontist's labor time, but also can not ensure the accuracy of the appliances. The…

Cited by 19SourceScholar