Steven C.H. Hoi
38 papers · 2011–2023 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (79) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(173)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Prolific
π
Century Club Β· Bronze
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Renaissance Researcher
(6)
Venues
Top co-authors
Research topics
Machine Learning
(28)
Deep Learning
(19)
Learning Types Β· Machine Learning
(19)
Artificial Intelligence
(15)
Natural Language Processing
(15)
Core Methods
(15)
Core AI
(13)
Learning Types Β· Deep Learning
(12)
Generation
(10)
Computer Vision
(7)
Architectures
(7)
Mathematics & Optimization
(6)
Optimization
(6)
Optimization & Theory
(6)
Applications
(5)
Keywords
pre-trained language model
(7)
online learning
(6)
multimodal learning
(5)
semi-supervised learning
(3)
contrastive learning
(3)
representation learning
(3)
kernel methods
(3)
dialogue state tracking
(3)
task-oriented dialogue
(3)
vision-language model
(2)
large-scale learning
(2)
pre-trained model
(2)
video question answering
(2)
few-shot learning
(2)
machine reading comprehension
(2)
multi-task learning
(2)
visual question answering
(2)
code generation
(2)
weakly supervised learning
(2)
natural language understanding
(2)
Papers
LAVIS: A One-stop Library for Language-Vision Intelligence
ACL 2023
Align and Prompt: Video-and-Language Pre-Training With Entity Prompts
CVPR 2022
BotSIM: An End-to-End Bot Simulation Framework for Commercial Task-Oriented Dialog Systems
EMNLP 2022
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5
EMNLP 2022
Learning Label Modular Prompts for Text Classification in the Wild
EMNLP 2022
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
EMNLP 2022
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
EMNLP 2022
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text
AAAI 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
EMNLP 2021
CoMatch: Semi-Supervised Learning With Contrastive Graph Regularization
ICCV 2021
Learning From Noisy Data With Robust Representation Learning
ICCV 2021
Node-wise Localization of Graph Neural Networks
IJCAI 2021
Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph
AAAI 2021
Adaptive Task Sampling for Meta-Learning
ECCV 2020
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues
EMNLP 2020
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
EMNLP 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
ICLR 2020
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
ACL 2020
Improving Limited Labeled Dialogue State Tracking with Self-Supervision
EMNLP 2020
Non-Autoregressive Dialog State Tracking
ICLR 2020
Photon: A Robust Cross-Domain Text-to-SQL System
ACL 2020
Response Selection for Multi-Party Conversations with Dynamic Topic Tracking
EMNLP 2020
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
EMNLP 2020
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues
EMNLP 2020
VD-BERT: A Unified Vision and Dialog Transformer with BERT
EMNLP 2020
Video-Grounded Dialogues with Pretrained Generation Language Models
ACL 2020
Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach
AAAI 2019
Robust Estimation of Similarity Transformation for Visual Object Tracking
AAAI 2019
Question-Guided Hybrid Convolution for Visual Question Answering
ECCV 2018
Large Scale Online Kernel Learning
JMLR 2016
OLPS: A Toolbox for On-Line Portfolio Selection
JMLR 2016
Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches
CVPR 2015
Semi-Universal Portfolios with Transaction Costs
IJCAI 2015
LIBOL: A Library for Online Learning Algorithms
JMLR 2014
A Family of Simple Non-Parametric Kernel Learning Algorithms
JMLR 2011
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
AISTATS 2011
Double Updating Online Learning
JMLR 2011
Two-Layer Multiple Kernel Learning
AISTATS 2011