Yu Zhang

ACM Comput. Surv., December, 2024

Selective Random Walk for Transfer Learning in Heterogeneous Label Spaces.

[BibT_eX]

[DOI]

Qiao Xiao

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Task-Aware Low-Rank Adaptation of Segment Anything Model.

[BibT_eX]

[DOI]

Xuehao Wang

CoRR, 2024

Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation.

[BibT_eX]

[DOI]

CoRR, 2024

Rendering Graphs for Graph Reasoning in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models as Visual Cross-Domain Learners.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-objective meta-learning.

[BibT_eX]

[DOI]

Artif. Intell., 2024

Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Selective Prompting Tuning for Personalized Conversations with LLMs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Learning Linear and Nonlinear Low-Rank Structure in Multi-Task Learning.

[BibT_eX]

[DOI]

Yi Zhang

Wei Wang

IEEE Trans. Knowl. Data Eng., August, 2023

Multisource Heterogeneous Domain Adaptation With Conditional Weighting Adversarial Network.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Superpixelwise Low-Rank Approximation-Based Partial Label Learning for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

LibMTL: A Python Library for Deep Multi-Task Learning.

[BibT_eX]

[DOI]

Baijiong Lin

J. Mach. Learn. Res., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Effective and Parameter-Efficient Reusing Fine-Tuned Models.

[BibT_eX]

[DOI]

CoRR, 2023

Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2023

A Scale-Invariant Task Balancing Approach for Multi-Task Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Forward-Backward Reasoning in Large Language Models for Verification.

[BibT_eX]

[DOI]

CoRR, 2023

Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention.

[BibT_eX]

[DOI]

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Partially-Labeled Domain Generalization via Multi-Dimensional Domain Adaptation.

[BibT_eX]

[DOI]

Jianghan Bao

Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-Task Learning via Time-Aware Neural ODE.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Effective Structured Prompting by Meta-Learning and Representative Verbalizer.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

An Adaptive Policy to Employ Sharpness-Aware Minimization.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Learning Retrieval Augmentation for Personalized Dialogue Generation.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Leveraging per Image-Token Consistency for Vision-Language Pre-training.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Personalized Dialogue Generation with Persona-Adaptive Attention.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

A Survey on Multi-Task Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

A context-enhanced sentence representation learning method for close domains with topic modeling.

[BibT_eX]

[DOI]

Inf. Sci., 2022

LibMTL: A Python Library for Multi-Task Learning.

[BibT_eX]

[DOI]

Baijiong Lin

CoRR, 2022

Domain Adaptation via Bidirectional Cross-Attention Transformer.

[BibT_eX]

[DOI]

Xiyu Wang

Pengxin Guo

Decebal Constantin Mocanu

CoRR, 2022

Adversarial VAE with Normalizing Flows for Multi-Dimensional Classification.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Dynamic Sparse Network for Time Series Classification: Learning What to "See".

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis.

[BibT_eX]

[DOI]

Qibing Bai

Tom Ko

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Effective, Efficient and Robust Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Learning Feature Alignment Architecture for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Subspace Learning for Effective Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Exploring Machine Speech Chain For Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Multi-View Self-Attention Based Transformer for Speaker Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Baijiong Lin

CoRR, 2021

Safe Multi-Task Learning.

[BibT_eX]

[DOI]

Pengxin Guo

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search.

[BibT_eX]

[DOI]

Zhixiong Yue

Pengxin Guo

CoRR, 2021

Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Multi-Objective Meta Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yi Zhang

Wei Wang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SEEN: Few-Shot Classification with SElf-ENsemble.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Region Semantically Aligned Network for Zero-Shot Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jianghan Bao

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.

[BibT_eX]

[DOI]

Sicong Liang

Chang Deng

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Distant Transfer Learning via Deep Random Walk.

[BibT_eX]

[DOI]

Qiao Xiao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bi-Directional Recurrent Attentional Topic Model.

[BibT_eX]

[DOI]

Shuangyin Li

Rong Pan

ACM Trans. Knowl. Discov. Data, 2020

Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Multi-Task Adversarial Attack.

[BibT_eX]

[DOI]

CoRR, 2020

Effective, Efficient and Robust Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Sicong Liang

CoRR, 2020

Adaptive Probabilistic Word Embedding.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Fisher Deep Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Low-resolution image categorization via heterogeneous domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text.

[BibT_eX]

[DOI]

Guangneng Hu

Proceedings of the World Wide Web Conference, 2019

Parameter Transfer Unit for Deep Neural Networks.

[BibT_eX]

[DOI]

Yinghua Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Heterogeneous Domain Adaptation via Soft Transfer Network.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Guangneng Hu

CoRR, 2018

Learning to Multitask.

[BibT_eX]

[DOI]

Ying Wei

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.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation.

[BibT_eX]

[DOI]

Guangneng Hu

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Personalizing a Dialogue System With Transfer Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Transferable Contextual Bandit for Cross-Domain Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Component-Based Diffusion Model With Structural Diversity for Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Flexible End-to-End Dialogue System for Knowledge Grounded Conversation.

[BibT_eX]

[DOI]

CoRR, 2017

Learning to Transfer.

[BibT_eX]

[DOI]

Ying Wei

CoRR, 2017

Multimodal Linear Discriminant Analysis via Structural Sparsity.

[BibT_eX]

[DOI]

Yuan Jiang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Neural Networks for High Dimension, Low Sample Size Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning Sparse Task Relations in Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Distant Domain Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Recurrent Attentional Topic Model.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Personalizing a Dialogue System with Transfer Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Correlated Tag Learning in Topic Model.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Fast Component Pursuit for Large-Scale Inverse Covariance Estimation.

[BibT_eX]

[DOI]

Tong Zhang

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.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Reduction Techniques for Graph-Based Convex Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Multi-Stage Multi-Task Learning with Reduced Rank.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

A Unified Framework for Epidemic Prediction based on Poisson Regression.

[BibT_eX]

[DOI]

William K. Cheung

Jiming Liu

IEEE Trans. Knowl. Data Eng., 2015

Instance-specific canonical correlation analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Learning Tree Structure in Multi-Task Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Parallel Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Learning Multi-Level Task Groups in Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Discriminative Feature Grouping.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

A Regularization Approach to Learning Task Relationships in Multitask Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2013

Multilabel relationship learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2013

Incorporating Structural Diversity of Neighbors in a Diffusion Model for Social Networks.

[BibT_eX]

[DOI]

Qing Bao

William K. Cheung

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Learning High-Order Task Relationships in Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

2012

Transfer Metric Learning with Semi-Supervised Extension.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2012

Multi-Task Boosting by Exploiting Task Relationships.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Overlapping community detection via bounded nonnegative matrix tri-factorization.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Supervised Probabilistic Robust Embedding with Sparse Noise.

[BibT_eX]

[DOI]

Eric P. Xing

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Semisupervised Generalized Discriminant Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

Discriminative Experimental Design.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Age Estimation Using Bayesian Process.

[BibT_eX]

[DOI]

Proceedings of the New Frontiers in Applied Data Mining, 2011

Multi-Task Learning in Heterogeneous Feature Spaces.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Multi-Task Learning using Generalized t Process.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

A Convex Formulation for Learning Task Relationships in Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

Multi-Domain Collaborative Filtering.

[BibT_eX]

[DOI]

Bin Cao

Proceedings of the UAI 2010, 2010

Probabilistic Multi-Task Feature Selection.

[BibT_eX]

[DOI]

Qian Xu

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Multi-task warped Gaussian process for personalized age estimation.

[BibT_eX]

[DOI]