Jiulong Shan
13 papers · 2021–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13)
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(24)
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Keyword Collector
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Conferences
ICLR (4)
NIPS (3)
ACL (1)
CVPR (1)
ECCV (1)
EMNLP (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
large language model
(2)
benchmark evaluation
(2)
model quantization
(1)
zero-shot learning
(1)
image segmentation
(1)
object detection
(1)
domain generalization
(1)
direct preference optimization
(1)
transfer learning
(1)
domain adaptation
(1)
anomaly detection
(1)
label propagation
(1)
image generation
(1)
preference learning
(1)
contrastive learning
(1)
knowledge distillation
(1)
model evaluation
(1)
feature matching
(1)
neural architecture search
(1)
active learning
(1)
Papers
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights
ICLR 2025
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
NAACL 2025
MR. Judge: Multimodal Reasoner as a Judge
EMNLP 2025
VeCLIP: Improving CLIP Training via Visual-enriched Captions
ECCV 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
NIPS 2024
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
ACL 2024
Efficient ConvBN Blocks for Transfer Learning and Beyond
ICLR 2024
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
ICLR 2023
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
CVPR 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
NIPS 2021
RIM: Reliable Influence-based Active Learning on Graphs
NIPS 2021