Zhuoling Li

Orcid: 0009-0004-2166-3353

According to our database1, Zhuoling Li authored at least 34 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation.
CoRR, April, 2026

Automatic Method Illustration Generation for AI Scientific Papers via Drawing Middleware Creation, Evolution, and Orchestration.
CoRR, March, 2026

DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation.
CoRR, March, 2026

Any3D-VLA: Enhancing VLA Robustness via Diverse Point Clouds.
CoRR, February, 2026

SceneLLM: Implicit language reasoning in LLM for dynamic scene graph generation.
Pattern Recognit., 2026

2025
Toward Unified 3D Object Detection via Algorithm and Data Unification.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Train Once, Deploy Anywhere: Realize Data-Efficient Dynamic Object Manipulation.
CoRR, August, 2025

Bootstrapping Imitation Learning for Long-horizon Manipulation via Hierarchical Data Collection Space.
CoRR, May, 2025

VIP: Vision Instructed Pre-training for Robotic Manipulation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

DiffIP: Representation Fingerprints for Robust IP Protection of Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DriveGPT4-V2: Harnessing Large Language Model Capabilities for Enhanced Closed-Loop Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LongDiff: Training-Free Long Video Generation in One Go.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
GroupLane: End-to-End 3D Lane Detection With Channel-Wise Grouping.
IEEE Robotics Autom. Lett., November, 2024

VIRT: Vision Instructed Transformer for Robotic Manipulation.
CoRR, 2024

DisC-GS: Discontinuity-aware Gaussian Splatting.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FewVS: A Vision-Semantics Integration Framework for Few-Shot Image Classification.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

UniMODE: Unified Monocular 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Efficient Few-Shot Classification via Contrastive Pretraining on Web Data.
IEEE Trans. Artif. Intell., June, 2023

RelationTrack: Relation-Aware Multiple Object Tracking With Decoupled Representation.
IEEE Trans. Multim., 2023

The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving Challenge.
CoRR, 2023

MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking.
CoRR, 2023

VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection.
CoRR, 2023

Better Integrating Vision and Semantics for Improving Few-shot Classification.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

STAGE Challenge: Structural-Functional Transition in Glaucoma Assessment Challenge in MICCAI 2023.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Few-Shot Steel Surface Defect Detection.
IEEE Trans. Instrum. Meas., 2022

Delving into the Pre-training Paradigm of Monocular 3D Object Detection.
CoRR, 2022

Towards Discriminative Representation: Multi-view Trajectory Contrastive Learning for Online Multi-object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling.
CoRR, 2021

Enabling the Network to Surf the Internet.
CoRR, 2021

2019
CLU-CNNs: Object detection for medical images.
Neurocomputing, 2019


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