We stand with Ukraine

We stand with Ukraine

Linli Xu

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

MVP: Enhancing Video Large Language Models via Self-supervised Masked Video Prediction.

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

FPEdit: Robust LLM Fingerprinting through Localized Knowledge Editing.

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CoRR, August, 2025

AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization.

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CoRR, April, 2025

An Empirical Study of Strategic Opacity in Crowdsourced Evaluations.

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MIS Q., 2025

Addressing Representation Collapse in Vector Quantized Models with One Linear Layer.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes.

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Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2023

End-to-End Word-Level Pronunciation Assessment with MASK Pre-training.

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

2019

An accelerated variance reducing stochastic method with Douglas-Rachford splitting.

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Mach. Learn., 2019

2018

Accelerating Stochastic Gradient Descent Using Antithetic Sampling.

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CoRR, 2018

Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies.

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Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks.

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

2017

Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments.

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

2016

Make Workers Work Harder: Decoupled Asynchronous Proximal Stochastic Gradient Descent.

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CoRR, 2016

2013

Utilizing Social and Behavioral Neighbors for Personalized Recommendation.

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Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

A Robust Multi-criteria Recommendation Approach with Preference-Based Similarity and Support Vector Machine.

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Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Community detection by popularity based models for authored networked data.

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Prakash Mandayam Comar

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Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

A Scalable Approach for General Correlation Clustering.

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Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012

An efficient algorithm for maximal margin clustering.

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Lopamudra Mukherjee

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Dale Schuurmans

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J. Glob. Optim., 2012

2010

Relaxed Clipping: A Global Training Method for Robust Regression and Classification.

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Dale Schuurmans

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

2009

Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning.

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Dale Schuurmans

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Fast normalized cut with linear constraints.

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Dale Schuurmans

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007

Convex Large Margin Training - Unsupervised, Semi-supervised, and Robust Support Vector Machines.

[DOI]

PhD thesis, 2007

2006

Discriminative unsupervised learning of structured predictors.

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Dana F. Wilkinson

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Finnegan Southey

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Dale Schuurmans

Proceedings of the Machine Learning, 2006

Robust Support Vector Machine Training via Convex Outlier Ablation.

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Dale Schuurmans

Proceedings of the Proceedings, 2006

2005

Unsupervised and Semi-Supervised Multi-Class Support Vector Machines.

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Dale Schuurmans

Proceedings of the Proceedings, 2005

2004

Maximum Margin Clustering.

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Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

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