Steven Hoi
32 papers · 2013–2026 · 11 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (64) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Keyword Pioneer
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Topic Evolution
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Prolific
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Century Club Β· Bronze
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Keyword Collector
(126)
Venues
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Research topics
Machine Learning
(19)
Artificial Intelligence
(14)
Learning Types Β· Machine Learning
(14)
Core AI
(11)
Natural Language Processing
(9)
Deep Learning
(8)
Computer Vision
(7)
Learning Paradigms
(6)
Optimization & Theory
(6)
Learning Types Β· Deep Learning
(5)
Application Areas
(4)
Applications
(4)
Core Methods
(4)
Generation
(4)
Data Science & Analytics
(3)
Keywords
multimodal learning
(6)
online learning
(5)
large language model
(4)
time series forecasting
(4)
representation learning
(4)
contrastive learning
(4)
continual learning
(3)
visual question answering
(3)
transfer learning
(3)
code generation
(3)
video understanding
(3)
video-grounded dialogue
(3)
zero-shot learning
(3)
catastrophic forgetting
(2)
vision-language pre-training
(2)
data stream mining
(2)
vision-language model
(2)
transformer network
(2)
anomaly detection
(2)
self-supervised learning
(2)
Papers
MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments
ACL 2026
OMG-Avatar: One-shot Multi-LOD Gaussian Head Avatar
CVPR 2026
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases
NAACL 2024
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
ICML 2023
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
EMNLP 2023
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models
CVPR 2023
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
EMNLP 2023
Learning Deep Time-index Models for Time Series Forecasting
ICML 2023
Learning Fast and Slow for Online Time Series Forecasting
ICLR 2023
Masked Unsupervised Self-training for Label-free Image Classification
ICLR 2023
Merlion: End-to-End Machine Learning for Time Series
JMLR 2023
Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
EMNLP 2023
Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models
EMNLP 2023
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
ICML 2022
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning
ICLR 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
ICLR 2022
Multimodal Dialogue State Tracking
NAACL 2022
VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems
NAACL 2022
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition
Interspeech 2021
Contextual Transformation Networks for Online Continual Learning
ICLR 2021
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues
ICLR 2021
MoPro: Webly Supervised Learning with Momentum Prototypes
ICLR 2021
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection
ICLR 2021
Prototypical Contrastive Learning of Unsupervised Representations
ICLR 2021
Task similarity aware meta learning: theory-inspired improvement on MAML
UAI 2021
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation
ECCV 2020
Tree-Structured Attention with Hierarchical Accumulation
ICLR 2020
Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
ACL 2019
Cost Sensitive Online Multiple Kernel Classification
ACML 2016
SOLAR: Scalable Online Learning Algorithms for Ranking
ACL 2015
Online Passive Aggressive Active Learning and Its Applications
ACML 2014
Second Order Online Collaborative Filtering
ACML 2013