Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2024

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.

[BibT_eX]

[DOI]

Qijiong Liu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

How Good Are LLMs at Out-of-Distribution Detection?

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LANID: LLM-assisted New Intent Discovery.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Continual Dialogue State Tracking via Reason-of-Select Distillation.

[BibT_eX]

[DOI]

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

SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Correlation Matching Transformation Transformers for UHD Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adaptive Graph Convolution Methods for Attributed Graph Clustering.

[BibT_eX]

[DOI]

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

Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, May, 2023

Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution.

[BibT_eX]

[DOI]

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

Decoy Effect in Search Interaction: A Pilot Study.

[BibT_eX]

[DOI]

CoRR, 2023

Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Making Multimodal Generation Easier: When Diffusion Models Meet LLMs.

[BibT_eX]

[DOI]

CoRR, 2023

SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2023

Co-evolving Vector Quantization for ID-based Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Only Encode Once: Making Content-based News Recommender Greener.

[BibT_eX]

[DOI]

CoRR, 2023

How Good Are Large Language Models at Out-of-Distribution Detection?

[BibT_eX]

[DOI]

CoRR, 2023

Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark.

[BibT_eX]

[DOI]

CoRR, 2023

A First Look at LLM-Powered Generative News Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency.

[BibT_eX]

[DOI]

CoRR, 2023

Simple yet Effective Gradient-Free Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2023

FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Neighborhood-based Hard Negative Mining for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Real-World Image Super-Resolution as Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards LLM-driven Dialogue State Tracking.

[BibT_eX]

[DOI]

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

Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models.

[BibT_eX]

[DOI]

Proceedings of the Conference on Health, Inference, and Learning, 2023

Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training.

[BibT_eX]

[DOI]

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

Continual Graph Convolutional Network for Text Classification.

[BibT_eX]

[DOI]

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

Boosting Few-Shot Text Classification via Distribution Estimation.

[BibT_eX]

[DOI]

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

2022

Meta-Path Based Neighbors for Behavioral Target Generalization in Sequential Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2022

Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

A new self-supervised task on graphs: Geodesic distance prediction.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Single image rain removal using recurrent scale-guide networks.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Structural Prior Guided Generative Adversarial Transformers for Low-Light Image Enhancement.

[BibT_eX]

[DOI]

Cong Wang

Jinshan Pan

Xiao-Ming Wu

CoRR, 2022

Modeling User Behavior with Graph Convolution for Personalized Product Search.

[BibT_eX]

[DOI]

CoRR, 2022

Modeling User Behavior with Graph Convolution for Personalized Product Search.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

A Closer Look at Few-Shot Out-of-Distribution Intent Detection.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

New Intent Discovery with Pre-training and Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Online-Updated High-Order Collaborative Networks for Single Image Deraining.

[BibT_eX]

[DOI]

Cong Wang

Jinshan Pan

Xiao-Ming Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Spectral embedding network for attributed graph clustering.

[BibT_eX]

[DOI]

Neural Networks, 2021

Adaptation-Agnostic Meta-Training.

[BibT_eX]

[DOI]

CoRR, 2021

RPC: Representative possible world based consistent clustering algorithm for uncertain data.

[BibT_eX]

[DOI]

Comput. Commun., 2021

Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images.

[BibT_eX]

[DOI]

Bo Liu

Li-Ming Zhan

Xiao-Ming Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Embedding-based Product Retrieval in Taobao Search.

[BibT_eX]

[DOI]

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

Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs.

[BibT_eX]

[DOI]

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

Slake: A Semantically-Labeled Knowledge-Enhanced Dataset For Medical Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Effectiveness of Pre-training for Few-shot Intent Classification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Self-Supervised Graph Representation Learning via Global Context Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

A Closer Look at the Training Strategy for Modern Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Medical Visual Question Answering via Conditional Reasoning.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Variational Metric Scaling for Metric-Based Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Attributed Graph Learning with 2-D Graph Convolution.

[BibT_eX]

[DOI]

CoRR, 2019

Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution.

[BibT_eX]

[DOI]

CoRR, 2019

Generalized Label Propagation Methods for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Qimai Li

Xiao-Ming Wu

Zhichao Guan

CoRR, 2019

Attributed Graph Clustering via Adaptive Graph Convolution.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Reconstructing Capsule Networks for Zero-shot Intent Classification.

[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

Label Efficient Semi-Supervised Learning via Graph Filtering.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Large Margin Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Qimai Li

Zhichao Han

Xiao-Ming Wu

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

2016

Learning on Graphs with Partially Absorbing Random Walks: Theory and Practice.

[BibT_eX]

[DOI]

Xiaoming Wu

PhD thesis, 2016

2015

New insights into Laplacian similarity search.

[BibT_eX]

[DOI]

Xiao-Ming Wu

Zhenguo Li

Shih-Fu Chang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Locally Linear Hashing for Extracting Non-linear Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Analyzing the Harmonic Structure in Graph-Based Learning.

[BibT_eX]

[DOI]

Xiao-Ming Wu

Zhenguo Li

Shih-Fu Chang

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Learning with Partially Absorbing Random Walks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Segmentation using superpixels: A bipartite graph partitioning approach.

[BibT_eX]

[DOI]

Zhenguo Li

Xiao-Ming Wu

Shih-Fu Chang

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2009

Fast Graph Laplacian Regularized Kernel Learning via Semidefinite-Quadratic-Linear Programming.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Xiao-Ming Wu

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