Junru Wu
15 papers · 2017–2026 · 9 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31)
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Keyword Collector
(70)
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Trend Setter
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Century Club · Bronze
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Unstoppable · Bronze
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Conference Pioneer
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Research topics
Machine Learning
(9)
Deep Learning
(6)
Artificial Intelligence
(5)
Computer Vision
(4)
Core AI
(4)
Learning Types · Machine Learning
(4)
Natural Language Processing
(3)
Application Areas
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Analysis
(2)
Architectures
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Computer Science
(1)
Keywords
large language model
(3)
hyperparameter optimization
(2)
neural architecture search
(2)
convolutional neural network
(2)
information retrieval
(2)
motion deblurring
(1)
image restoration
(1)
zero-shot learning
(1)
curriculum learning
(1)
model architecture
(1)
preference learning
(1)
direct preference optimization
(1)
self-supervised learning
(1)
knowledge distillation
(1)
action recognition
(1)
preference optimization
(1)
k-means clustering
(1)
prompt engineering
(1)
data augmentation
(1)
visual saliency
(1)
Papers
From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan
ACL 2026
C²RBench: A Chinese Complex Reasoning Benchmark for Large Language Models
ACL 2025
LiPO: Listwise Preference Optimization through Learning-to-Rank
NAACL 2025
RRM: Robust Reward Model Training Mitigates Reward Hacking
ICLR 2025
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
NAACL 2024
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
NAACL 2024
Principled Architecture-aware Scaling of Hyperparameters
ICLR 2024
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search
WACV 2022
Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization
NeurIPS 2022
Stronger NAS with Weaker Predictors
NeurIPS 2021
DAVID: Dual-Attentional Video Deblurring
WACV 2020
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
ICCV 2019
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
ICML 2018
Gaze Prediction in Dynamic 360° Immersive Videos
CVPR 2018
Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN
IJCAI 2017