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Steven Hoi

32 papers · 2013–2026 · 11 venues · across top CS/AI venues

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (64) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘₯ Mega-Team Β· Squad πŸ† Keyword Champion (2) 🧭 Keyword Pioneer 🧬 Topic Evolution 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (126)

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