Jihwan Bang
15 papers · 2020–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (10) π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(33)
π
Grand Slam
π
Century Club
(15)
π
Conference Pioneer
ποΈ
Keyword Collector
(64)
π₯
Unstoppable
(6)
Conferences
CVPR (3)
ICLR (3)
EMNLP (2)
AAAI (1)
ACL (1)
ICCV (1)
ICML (1)
NAACL (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
large language model
(4)
continual learning
(3)
class imbalance
(2)
on-device inference
(2)
multi-turn dialogue
(2)
prompt learning
(2)
active learning
(2)
episodic memory
(2)
semi-supervised learning
(1)
knowledge distillation
(1)
semantic segmentation
(1)
data augmentation
(1)
conversational search
(1)
hierarchical classification
(1)
online learning
(1)
zero-shot learning
(1)
label noise
(1)
token efficiency
(1)
feature learning
(1)
efficient computing
(1)
Papers
Chain-of-Rank: Enhancing Large Language Models for Domain-Specific RAG in Edge Device
NAACL 2025
RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
ICLR 2025
CIFLEX: Contextual Instruction Flow for Sub-task Execution in Multi-Turn Interactions with a Single On-Device LLM
EMNLP 2025
Learning Contextual Retrieval for Robust Conversational Search
EMNLP 2025
Active Prompt Learning in Vision Language Models
CVPR 2024
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning
ICML 2024
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference
ACL 2024
Adaptive Shortcut Debiasing for Online Continual Learning
AAAI 2024
Generating Instance-level Prompts for Rehearsal-free Continual Learning
ICCV 2023
Online Boundary-Free Continual Learning by Scheduled Data Prior
ICLR 2023
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
ICLR 2023
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
NIPS 2022
Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries
CVPR 2022
Rainbow Memory: Continual Learning With a Memory of Diverse Samples
CVPR 2021
SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Module and Information Blocking Decoder
WACV 2020