Tongliang Liu
- Papers
- 34
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Authored papers
34OneWorld: Taming Scene Generation with 3D Unified Representation Autoencoder
arXiv 2026
Beyond Individual Intelligence: Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems
arXiv 2026
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
arXiv 2025
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering
arXiv 2025
AlphaApollo: Orchestrating Foundation Models and Professional Tools into a Self-Evolving System for Deep Agentic Reasoning
arXiv 2025
Safety at Scale: A Comprehensive Survey of Large Model Safety
arXiv 2025
Flow: Modularized Agentic Workflow Automation
arXiv 2025
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
arXiv 2024
Robust Training of Federated Models with Extremely Label Deficiency
arXiv 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
arXiv 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
arXiv 2024
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception
arXiv 2024
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization
eliminating-catastrophic-overfitting-via
Federated Causal Discovery from Heterogeneous Data
arXiv 2024
What If the Input is Expanded in OOD Detection?
arXiv 2024
OVGaussian: Generalizable 3D Gaussian Segmentation with Open Vocabularies
arXiv 2024
TED-VITON: Transformer-Empowered Diffusion Models for Virtual Try-On
arXiv 2024
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
arXiv 2024
Can We Treat Noisy Labels as Accurate?
arXiv 2024
HumanMAC: Masked Motion Completion for Human Motion Prediction
ICCV 2023 1
DeepInception: Hypnotize Large Language Model to Be Jailbreaker
arXiv 2023
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
ICCV 2023 1
One-Shot Learning as Instruction Data Prospector for Large Language Models
arXiv 2023
Point-Query Quadtree for Crowd Counting, Localization, and More
ICCV 2023 1
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance
arXiv 2023
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning
arXiv 2023
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation
arXiv 2023
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
arXiv 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability
arXiv 2023
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions
arXiv 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples
ICCV 2023 1
Exploring Model Dynamics for Accumulative Poisoning Discovery
arXiv 2023
DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting
CVPR 2023 1
Robust Weight Perturbation for Adversarial Training
robust-weight-perturbation-for-adversarial
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