Steven C.H. Hoi
38 papers · 2011–2023 · 10 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Conference Polyglot (10)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Conference Polyglot
(10)
ποΈ
Keyword Collector
(169)
π
Conference Pioneer
π
Century Club
(38)
π₯
Unstoppable
(6)
β‘
Prolific Year
(13)
Conferences
EMNLP (13)
JMLR (5)
AAAI (4)
ACL (4)
AISTATS (2)
CVPR (2)
ECCV (2)
ICCV (2)
ICLR (2)
IJCAI (2)
Top co-authors
Research topics
Keywords
pretrained language model
(6)
online learning
(6)
multimodal learning
(4)
kernel methods
(3)
dialogue state tracking
(3)
representation learning
(3)
contrastive learning
(3)
program repair
(2)
large-scale learning
(2)
video question answering
(2)
natural language understanding
(2)
machine reading comprehension
(2)
semi-supervised learning
(2)
prompt tuning
(2)
multi-task learning
(2)
code generation
(2)
visual question answering
(2)
weakly supervised learning
(2)
few-shot learning
(2)
task-oriented dialogue
(2)
Papers
LAVIS: A One-stop Library for Language-Vision Intelligence
ACL 2023
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
EMNLP 2022
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning over Text
AAAI 2022
Align and Prompt: Video-and-Language Pre-Training With Entity Prompts
CVPR 2022
Learning Label Modular Prompts for Text Classification in the Wild
EMNLP 2022
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
EMNLP 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
Node-wise Localization of Graph Neural Networks
IJCAI 2021
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
Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph
AAAI 2021
Learning From Noisy Data With Robust Representation Learning
ICCV 2021
Adaptive Task Sampling for Meta-Learning
ECCV 2020
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
EMNLP 2020
BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues
EMNLP 2020
UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues
EMNLP 2020
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
EMNLP 2020
VD-BERT: A Unified Vision and Dialog Transformer with BERT
EMNLP 2020
Response Selection for Multi-Party Conversations with Dynamic Topic Tracking
EMNLP 2020
Photon: A Robust Cross-Domain Text-to-SQL System
ACL 2020
Improving Limited Labeled Dialogue State Tracking with Self-Supervision
EMNLP 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
ICLR 2020
Non-Autoregressive Dialog State Tracking
ICLR 2020
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading
ACL 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
Two-Layer Multiple Kernel Learning
AISTATS 2011
Double Updating Online Learning
JMLR 2011
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
AISTATS 2011
A Family of Simple Non-Parametric Kernel Learning Algorithms
JMLR 2011