Yu Zhang

Orcid: 0000-0003-1100-4835

Affiliations:
  • Southern University of Science and Technology, Shenzhen, China
  • Hong Kong University of Science and Technology, Big Data Institute, Department of Computer Science and Engineering, Hong Kong
  • Hong Kong Baptist University, Department of Computer Science / MOE Key Laboratory of Machine Perception, Hong Kong (former)
  • Hong Kong University of Science and Technology, Hong Kong (PhD)


According to our database1, Yu Zhang authored at least 147 papers between 2006 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Multi-Task Learning in Natural Language Processing: An Overview.
ACM Comput. Surv., December, 2024

Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

A Versatile Framework for Unsupervised Domain Adaptation Based on Instance Weighting.
IEEE Trans. Image Process., 2024

Sharpness-Aware Black-Box Optimization.
CoRR, 2024

RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models.
CoRR, 2024

Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective.
CoRR, 2024

Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment.
CoRR, 2024

Task-Aware Low-Rank Adaptation of Segment Anything Model.
CoRR, 2024

Rendering Graphs for Graph Reasoning in Multimodal Large Language Models.
CoRR, 2024

Large Language Models as Visual Cross-Domain Learners.
CoRR, 2024

Multi-objective meta-learning.
Artif. Intell., 2024

Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders.
Proceedings of the Computer Vision - ECCV 2024, 2024

Eyes Closed, Safety on: Protecting Multimodal LLMs via Image-to-Text Transformation.
Proceedings of the Computer Vision - ECCV 2024, 2024

A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Forward-Backward Reasoning in Large Language Models for Mathematical Verification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Selective Prompting Tuning for Personalized Conversations with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Learning Linear and Nonlinear Low-Rank Structure in Multi-Task Learning.
IEEE Trans. Knowl. Data Eng., August, 2023

Multisource Heterogeneous Domain Adaptation With Conditional Weighting Adversarial Network.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2023

LibMTL: A Python Library for Deep Multi-Task Learning.
J. Mach. Learn. Res., 2023

Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning.
CoRR, 2023

A Unified Framework for Unsupervised Domain Adaptation based on Instance Weighting.
CoRR, 2023

Effective and Parameter-Efficient Reusing Fine-Tuned Models.
CoRR, 2023

Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation.
CoRR, 2023

A Scale-Invariant Task Balancing Approach for Multi-Task Learning.
CoRR, 2023

Forward-Backward Reasoning in Large Language Models for Verification.
CoRR, 2023

Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-Task Learning via Time-Aware Neural ODE.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Effective Structured Prompting by Meta-Learning and Representative Verbalizer.
Proceedings of the International Conference on Machine Learning, 2023

An Adaptive Policy to Employ Sharpness-Aware Minimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Learning Retrieval Augmentation for Personalized Dialogue Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Leveraging per Image-Token Consistency for Vision-Language Pre-training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Personalized Dialogue Generation with Persona-Adaptive Attention.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning.
Trans. Mach. Learn. Res., 2022

A Survey on Multi-Task Learning.
IEEE Trans. Knowl. Data Eng., 2022

Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

A context-enhanced sentence representation learning method for close domains with topic modeling.
Inf. Sci., 2022

LibMTL: A Python Library for Multi-Task Learning.
CoRR, 2022

Domain Adaptation via Bidirectional Cross-Attention Transformer.
CoRR, 2022

Adversarial VAE with Normalizing Flows for Multi-Dimensional Classification.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Dynamic Sparse Network for Time Series Classification: Learning What to "See".
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Effective, Efficient and Robust Neural Architecture Search.
Proceedings of the International Joint Conference on Neural Networks, 2022

Learning Feature Alignment Architecture for Domain Adaptation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Subspace Learning for Effective Meta-Learning.
Proceedings of the International Conference on Machine Learning, 2022

Exploring Machine Speech Chain For Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Multi-View Self-Attention Based Transformer for Speaker Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
A Closer Look at Loss Weighting in Multi-Task Learning.
CoRR, 2021

Safe Multi-Task Learning.
CoRR, 2021

SpeechT5: Unified-Modal Encoder-Decoder Pre-training for Spoken Language Processing.
CoRR, 2021

Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search.
CoRR, 2021

Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Multi-Objective Meta Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Effective Meta-Regularization by Kernelized Proximal Regularization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Task Learning via Generalized Tensor Trace Norm.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SEEN: Few-Shot Classification with SElf-ENsemble.
Proceedings of the International Joint Conference on Neural Networks, 2021

Region Semantically Aligned Network for Zero-Shot Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Time-Aware Recommender System via Continuous-Time Modeling.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Simple Approach to Balance Task Loss in Multi-Task Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Distant Transfer Learning via Deep Random Walk.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Bi-Directional Recurrent Attentional Topic Model.
ACM Trans. Knowl. Discov. Data, 2020

Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation.
Pattern Recognit., 2020

Multi-Task Adversarial Attack.
CoRR, 2020

Effective, Efficient and Robust Neural Architecture Search.
CoRR, 2020

Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network.
CoRR, 2020

A Simple General Approach to Balance Task Difficulty in Multi-Task Learning.
CoRR, 2020

Adaptive Probabilistic Word Embedding.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Fisher Deep Domain Adaptation.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Low-resolution image categorization via heterogeneous domain adaptation.
Knowl. Based Syst., 2019

Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text.
Proceedings of the World Wide Web Conference, 2019

Parameter Transfer Unit for Deep Neural Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Heterogeneous Domain Adaptation via Soft Transfer Network.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification.
CoRR, 2018

Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment.
CoRR, 2018

LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text.
CoRR, 2018

Learning to Multitask.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Transfer Learning via Learning to Transfer.
Proceedings of the 35th International Conference on Machine Learning, 2018

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Personalizing a Dialogue System With Transfer Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Transferable Contextual Bandit for Cross-Domain Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Component-Based Diffusion Model With Structural Diversity for Social Networks.
IEEE Trans. Cybern., 2017

Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems.
CoRR, 2017

Integrating User and Agent Models: A Deep Task-Oriented Dialogue System.
CoRR, 2017

Flexible End-to-End Dialogue System for Knowledge Grounded Conversation.
CoRR, 2017

Learning to Transfer.
CoRR, 2017

Multimodal Linear Discriminant Analysis via Structural Sparsity.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Neural Networks for High Dimension, Low Sample Size Data.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning Sparse Task Relations in Multi-Task Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Distant Domain Transfer Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Recurrent Attentional Topic Model.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Personalizing a Dialogue System with Transfer Learning.
CoRR, 2016

Correlated Tag Learning in Topic Model.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Fast Component Pursuit for Large-Scale Inverse Covariance Estimation.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Reduction Techniques for Graph-Based Convex Clustering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Multi-Stage Multi-Task Learning with Reduced Rank.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A Unified Framework for Epidemic Prediction based on Poisson Regression.
IEEE Trans. Knowl. Data Eng., 2015

Instance-specific canonical correlation analysis.
Neurocomputing, 2015

Learning Tree Structure in Multi-Task Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Differentially Private High-Dimensional Data Publication via Sampling-Based Inference.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Parallel Multi-task Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Learning Multi-Level Task Groups in Multi-Task Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Discriminative Feature Grouping.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
A Regularization Approach to Learning Task Relationships in Multitask Learning.
ACM Trans. Knowl. Discov. Data, 2013

Multilabel relationship learning.
ACM Trans. Knowl. Discov. Data, 2013

Incorporating Structural Diversity of Neighbors in a Diffusion Model for Social Networks.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Learning High-Order Task Relationships in Multi-Task Learning.
Proceedings of the IJCAI 2013, 2013

2012
Transfer Metric Learning with Semi-Supervised Extension.
ACM Trans. Intell. Syst. Technol., 2012

Multi-Task Boosting by Exploiting Task Relationships.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Overlapping community detection via bounded nonnegative matrix tri-factorization.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Supervised Probabilistic Robust Embedding with Sparse Noise.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Semisupervised Generalized Discriminant Analysis.
IEEE Trans. Neural Networks, 2011

Discriminative Experimental Design.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Age Estimation Using Bayesian Process.
Proceedings of the New Frontiers in Applied Data Mining, 2011

Multi-Task Learning in Heterogeneous Feature Spaces.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Multi-Task Learning using Generalized t Process.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

A Convex Formulation for Learning Task Relationships in Multi-Task Learning.
Proceedings of the UAI 2010, 2010

Multi-Domain Collaborative Filtering.
Proceedings of the UAI 2010, 2010

Probabilistic Multi-Task Feature Selection.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Worst-Case Linear Discriminant Analysis.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Transfer metric learning by learning task relationships.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Multi-task warped Gaussian process for personalized age estimation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Transductive Learning on Adaptive Graphs.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Adaptive Transfer Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Semi-Supervised Multi-Task Regression.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

2008
Semi-supervised Discriminant Analysis Via CCCP.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Semi-Supervised Discriminant Analysis using robust path-based similarity.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2006
Learning from facial aging patterns for automatic age estimation.
Proceedings of the 14th ACM International Conference on Multimedia, 2006


  Loading...