Shun Zhang
15 papers · 2018–2025 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (42) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Renaissance Researcher
(7)
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(78)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Core AI
(6)
Learning Types
(6)
Deep Learning
(5)
Reinforcement Learning
(5)
Natural Language Processing
(3)
Core Methods
(3)
Learning Paradigms
(3)
Methods
(3)
Computer Vision
(2)
Analysis
(2)
Application Areas
(2)
Applications Β· Reinforcement Learning
(2)
Applications Β· Natural Language Processing
(2)
Keywords
few-shot learning
(2)
contrastive learning
(2)
intent discovery
(2)
parameter-efficient fine-tuning
(2)
representation learning
(2)
markov decision process
(2)
autonomous agent
(2)
decision transformer
(2)
offline reinforcement learning
(2)
image segmentation
(1)
feature extraction
(1)
anomaly detection
(1)
prototype learning
(1)
self-supervised learning
(1)
semantic segmentation
(1)
active learning
(1)
named entity recognition
(1)
domain adaptation
(1)
information extraction
(1)
relation extraction
(1)
Papers
Dynamic Dictionary Learning for Remote Sensing Image Segmentation
ICCV 2025
R2S: Real-to-Synthetic Representation Learning for Training Speech Recognition Models on Synthetic Data
Interspeech 2025
Towards Multi-System Log Anomaly Detection
ACL 2025
C-ICL: Contrastive In-context Learning for Information Extraction
EMNLP 2024
EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing
NeurIPS 2024
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
ICML 2024
New Intent Discovery with Attracting and Dispersing Prototype
COLING 2024
Towards Real-world Scenario: Imbalanced New Intent Discovery
ACL 2024
Adaptive Online Replanning with Diffusion Models
NeurIPS 2023
Hyper-Decision Transformer for Efficient Online Policy Adaptation
ICLR 2023
Planning with Large Language Models for Code Generation
ICLR 2023
Prompting Decision Transformer for Few-Shot Policy Generalization
ICML 2022
Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes
AAAI 2020
Extreme Network Compression via Filter Group Approximation
ECCV 2018
Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes
IJCAI 2018