Kun Wu
12 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (5) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (31)
π£
Hot Topic Early Bird
π
Conference Polyglot
(8)
π
Academic Marathon
(5)
π₯
Mega-Team
(37)
π
Keyword Champion
π
Century Club
(12)
π
Conference Pioneer
ποΈ
Keyword Collector
(59)
Conferences
EMNLP (3)
ICCV (3)
AAAI (1)
ACL (1)
COLING (1)
MICCAI (1)
NIPS (1)
RSS (1)
Top co-authors
Keywords
deep reinforcement learning
(2)
sql query generation
(2)
knowledge distillation
(2)
robot manipulation
(2)
text-to-sql parsing
(2)
cross-domain parsing
(2)
social media
(2)
computer vision
(1)
imitation learning
(1)
reinforcement learning
(1)
cross-domain learning
(1)
semantic parsing
(1)
multimodal learning
(1)
image captioning
(1)
data augmentation
(1)
instruction tuning
(1)
few-shot learning
(1)
embodied ai
(1)
policy learning
(1)
knowledge transfer
(1)
Papers
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
RSS 2025
ThinkAnswer Loss: Balancing Semantic Similarity and Exact Matching for LLM Reasoning Enhancement
EMNLP 2025
Training-free Generation of Temporally Consistent Rewards from VLMs
ICCV 2025
Region-based Cluster Discrimination for Visual Representation Learning
ICCV 2025
PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph
COLING 2024
Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal
MICCAI 2024
SoMeLVLM: A Large Vision Language Model for Social Media Processing
ACL 2024
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving
AAAI 2022
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning
ICCV 2021
Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing
EMNLP 2021
DuSQL: A Large-Scale and Pragmatic Chinese Text-to-SQL Dataset
EMNLP 2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
NIPS 2020