Yu Kang
14 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
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Conferences
EMNLP (4)
AAAI (3)
ACL (2)
CVPR (1)
ECCV (1)
IJCAI (1)
NAACL (1)
NSDI (1)
Top co-authors
Keywords
large language model
(2)
code translation
(2)
software development
(2)
representation learning
(2)
image restoration
(1)
sentiment analysis
(1)
contrastive learning
(1)
curriculum learning
(1)
benchmark evaluation
(1)
self-supervised learning
(1)
multimodal learning
(1)
code generation
(1)
depth estimation
(1)
cross-modal learning
(1)
low-resource learning
(1)
hierarchical planning
(1)
video anomaly detection
(1)
efficient inference
(1)
time series forecasting
(1)
image dehazing
(1)
Papers
IΒ²B-LPO: Latent Policy Optimization via Iterative Information Bottleneck
ACL 2026
C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning
AAAI 2026
DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
ACL 2025
Curr-ReFT: Overcoming Training Bottlenecks in Small-scale Vision-Language Models via Curriculum Reinforcement Finetuning
EMNLP 2025
C3oT: Generating Shorter Chain-of-Thought Without Compromising Effectiveness
AAAI 2025
ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation
EMNLP 2025
Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
EMNLP 2025
INFP: INdustrial Video Anomaly Detection via Frequency Prioritization
IJCAI 2025
UFO: A UI-Focused Agent for Windows OS Interaction
NAACL 2025
Bidirectional Progressive Transformer for Interaction Intention Anticipation
ECCV 2024
NetPanel: Traffic Measurement of Exchange Online Service
NSDI 2023
Self-Supervised Audio-and-Text Pre-training with Extremely Low-Resource Parallel Data
AAAI 2022
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations
EMNLP 2021
Fast Haze Removal for Nighttime Image Using Maximum Reflectance Prior
CVPR 2017