Yingbo Zhou

According to our database1, Yingbo Zhou authored at least 102 papers between 2010 and 2024.

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Bibliography

2024
HiReNet: Hierarchical-Relation Network for Few-Shot Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

<tt>L2CEval</tt>: Evaluating Language-to-Code Generation Capabilities of Large Language Models.
Trans. Assoc. Comput. Linguistics, 2024

JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking.
CoRR, 2024

GCLS<sup>2</sup>: Towards Efficient Community Detection using Graph Contrastive Learning with Structure Semantics.
CoRR, 2024

Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification.
CoRR, 2024

VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks.
CoRR, 2024

xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations.
CoRR, 2024

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.
CoRR, 2024

INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness.
CoRR, 2024

RLHF Workflow: From Reward Modeling to Online RLHF.
CoRR, 2024

When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices.
CoRR, 2024

Personalized Federated Instruction Tuning via Neural Architecture Search.
CoRR, 2024

Parameter-Efficient Detoxification with Contrastive Decoding.
CoRR, 2024

DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

ARM: Alignment with Residual Energy-Based Model.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024


Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Exact Fusion via Feature Distribution Matching for Few-Shot Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Merlion: End-to-End Machine Learning for Time Series.
J. Mach. Learn. Res., 2023

Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models.
CoRR, 2023

WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks.
CoRR, 2023

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models.
CoRR, 2023

Investigating Answerability of LLMs for Long-Form Question Answering.
CoRR, 2023

XGen-7B Technical Report.
CoRR, 2023

Exploring the Integration Strategies of Retriever and Large Language Models.
CoRR, 2023

EqGAN: Feature Equalization Fusion for Few-shot Image Generation.
CoRR, 2023

Answering Complex Questions over Text by Hybrid Question Parsing and Execution.
CoRR, 2023

CodeGen2: Lessons for Training LLMs on Programming and Natural Languages.
CoRR, 2023

CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning.
CoRR, 2023

Underfrequency Load Shedding Strategy With an Adaptive Variation Capability for Multi-Microgrids.
IEEE Access, 2023

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Few-shot Unified Question Answering: Tuning Models or Prompts?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SharPT: Shared Latent Space Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Long Document Summarization with Top-down and Bottom-up Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Best-k Search Algorithm for Neural Text Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation.
CoRR, 2022

BigIssue: A Realistic Bug Localization Benchmark.
CoRR, 2022

A Conversational Paradigm for Program Synthesis.
CoRR, 2022

Converse: A Tree-Based Modular Task-Oriented Dialogue System.
CoRR, 2022

Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering.
CoRR, 2022

Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Efficient and Differentiable Conformal Prediction with General Function Classes.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Modeling Multi-hop Question Answering as Single Sequence Prediction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Merlion: A Machine Learning Library for Time Series.
CoRR, 2021

QueryBlazer: Efficient Query Autocompletion Framework.
Proceedings of the WSDM '21, 2021

Focused Attention Improves Document-Grounded Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers.
Proceedings of the 9th International Conference on Learning Representations, 2021

Representation Learning for Sequence Data with Deep Autoencoding Predictive Components.
Proceedings of the 9th International Conference on Learning Representations, 2021

Testing Cross-Database Semantic Parsers With Canonical Utterances.
Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021

Unsupervised Paraphrasing with Pretrained Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Dense Hierarchical Retrieval for Open-domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Unsupervised Paraphrase Generation via Dynamic Blocking.
CoRR, 2020

Fast and Robust Unsupervised Contextual Biasing for Speech Recognition.
CoRR, 2020

Differentially Private Deep Learning with Smooth Sensitivity.
CoRR, 2020

Online Structured Meta-learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019
Spelling Correction as a Foreign Language.
Proceedings of the SIGIR 2019 Workshop on eCommerce, 2019

Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting.
Proceedings of the 36th International Conference on Machine Learning, 2019

Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Augmented Cyclic Adversarial Learning for Domain Adaptation.
CoRR, 2018

A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Improving End-to-End Speech Recognition with Policy Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

End-to-End Dense Video Captioning With Masked Transformer.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Improved Regularization Techniques for End-to-End Speech Recognition.
CoRR, 2017

Learning to Generate High Resolution Images with Bilateral Adversarial Networks.
Proceedings of the International Conference on Advances in Image Processing, 2017

2016
Towards Optimality Conditions for Non-Linear Networks.
CoRR, 2016

A sort method to enhance significant spectral components of test set.
Proceedings of the 12th International Conference on Natural Computation, 2016

Why Regularized Auto-Encoders learn Sparse Representation?
Proceedings of the 33nd International Conference on Machine Learning, 2016

Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep Secure Encoding for Face Template Protection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Challenges in representation learning: A report on three machine learning contests.
Neural Networks, 2015

Harzard-Based ATPG for Improving Delay Test Quality.
J. Electron. Test., 2015

Maximum Entropy Binary Encoding for Face Template Protection.
CoRR, 2015

Deep Secure Encoding: An Application to Face Recognition.
CoRR, 2015

Improve the compression ratios for code-based test vector compressions by decomposing.
Proceedings of the 20th IEEE European Test Symposium, 2015

2014
Learning Deep Autoencoders without Layer-wise Training.
CoRR, 2014

Shared features for multiple face-based biometrics.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Parallel Feature Selection Inspired by Group Testing.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Labeling Spain With Stanford.
IEEE Trans. Image Process., 2013


2012
Human Identification Using Finger Images.
IEEE Trans. Image Process., 2012

Handwritten Arabic text recognition using Deep Belief Networks.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Human Identification Using Palm-Vein Images.
IEEE Trans. Inf. Forensics Secur., 2011

Generating Visual Content from Images via Segmentation.
Proceedings of the Advances in Image Analysis and Applications. Proceedings of IWCIA 2011 Special Track on Applications, 2011

An ontology for generating descriptions about natural outdoor scenes.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Contactless fingerprint identification using level zero features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

DISCO: Describing Images Using Scene Contexts and Objects.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Personal Identification from Iris Images Using Localized Radon Transform.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Contactless palm vein identification using multiple representations.
Proceedings of the Fourth IEEE International Conference on Biometrics: Theory Applications and Systems, 2010


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