Jiulong Shan
13 papers · 2021–2025 · 8 venues · across top CS/AI venues
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large language model
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active learning
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direct preference optimization
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benchmark evaluation
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transfer learning
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anomaly detection
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graph neural network
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image segmentation
(1)
semantic segmentation
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model quantization
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domain adaptation
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domain generalization
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computer vision
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label propagation
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knowledge distillation
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object detection
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Papers
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
NAACL 2025
MR. Judge: Multimodal Reasoner as a Judge
EMNLP 2025
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
ICLR 2025
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
ACL 2024
Efficient ConvBN Blocks for Transfer Learning and Beyond
ICLR 2024
Empowering Unsupervised Domain Adaptation With Large-Scale Pre-Trained Vision-Language Models
WACV 2024
ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models
NeurIPS 2024
VeCLIP: Improving CLIP Training via Visual-enriched Captions
ECCV 2024
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
CVPR 2023
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
ICLR 2023
Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels
ICLR 2022
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
NeurIPS 2021
RIM: Reliable Influence-based Active Learning on Graphs
NeurIPS 2021