Hao Fang

Affiliations:
  • University of Washington, Department of Electrical Engineering, Seattle, WA, USA
  • University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada (former)


According to our database1, Hao Fang authored at least 30 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass.
CoRR, 2024

Natural Language Decomposition and Interpretation of Complex Utterances.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Language-to-Code Translation with a Single Labeled Example.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
SCREWS: A Modular Framework for Reasoning with Revisions.
CoRR, 2023

Few-Shot Adaptation for Parsing Contextual Utterances with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023, 2023

The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
Task-Oriented Dialogue as Dataflow Synthesis.
Trans. Assoc. Comput. Linguistics, 2020

2019
A Dynamic Speaker Model for Conversational Interactions.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Sounding Board: A User-Centric and Content-Driven Social Chatbot.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

2017
A Factored Neural Network Model for Characterizing Online Discussions in Vector Space.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Using Pronunciation-Based Morphological Subword Units to Improve OOV Handling in Keyword Search.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Learning Latent Local Conversation Modes for Predicting Community Endorsement in Online Discussions.
CoRR, 2016

Bi-directional Attention with Agreement for Dependency Parsing.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Learning Latent Local Conversation Modes for Predicting Comment Endorsement in Online Discussions.
Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, 2016

2015
Performance Limits of Segmented Compressive Sampling: Correlated Measurements Versus Bits.
IEEE Trans. Signal Process., 2015

Exponential Language Modeling Using Morphological Features and Multi-Task Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Microsoft COCO Captions: Data Collection and Evaluation Server.
CoRR, 2015

Talking to the crowd: What do people react to in online discussions?
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Open-Domain Name Error Detection using a Multi-Task RNN.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

From captions to visual concepts and back.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Permutation enhanced parallel reconstruction for compressive sampling.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Language Models for Image Captioning: The Quirks and What Works.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Permutation Meets Parallel Compressed Sensing: How to Relax Restricted Isometry Property for 2D Sparse Signals.
IEEE Trans. Signal Process., 2014

Performance Limits of Segmented Compressive Sampling: Correlated Samples versus Bits.
CoRR, 2014

2013
Parallel Compressed Sensing Reconstruction.
CoRR, 2013

2012
2D signal compression via parallel compressed sensing with permutations.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012


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