Linli Xu

According to our database, Linli Xu authored at least 80 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Communication-Efficient Distributed Learning with Local Immediate Error Compensation.

Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, Dacheng Tao, Enhong Chen

CoRR, 2024

Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks.

Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen

CoRR, 2024

Visual Hallucination Elevates Speech Recognition.

Fang Zhang, Yongxin Zhu, Xiangxiang Wang, Huang Chen, Xing Sun, Linli Xu

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

2023

A two-stage enhancement network with optimized effective receptive field for speckle image reconstruction.

Linli Xu, Peixian Liang, Jing Han, Lianfa Bai, Danny Z. Chen

Multim. Tools Appl., May, 2023

How Resource Demands of Nondriving-Related Tasks and Engagement Time Affect Drivers' Physiological Response and Takeover Performance in Conditional Automated Driving.

Lie Guo, Linli Xu, Pingshu Ge, Xu Wang

IEEE Trans. Hum. Mach. Syst., 2023

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

Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu

CoRR, 2023

ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval.

Zhen Liu, Yongxin Zhu, Zhujin Gao, Xin Sheng, Linli Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Cross and Self Attention Based Graph Convolutional Network for Aspect-Based Sentiment Analysis.

Mao Zhang, Sijie Teng, Linli Xu

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Multi-Grained Multimodal Interaction Network for Entity Linking.

Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation.

Yongxin Zhu, Zhujin Gao, Xinyuan Zhou, Zhongyi Ye, Linli Xu

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

Span-level Aspect-based Sentiment Analysis via Table Filling.

Mao Zhang, Yongxin Zhu, Zhen Liu, Zhimin Bao, Yunfei Wu, Xing Sun, Linli Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA.

Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao Liu, Changcun Bao, Linli Xu

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

2022

Global Filter of Fusing Near-Infrared and Visible Images in Frequency Domain for Defogging.

Linli Xu, Peixian Liang, Jing Han, Lianfa Bai, Danny Z. Chen

IEEE Signal Process. Lett., 2022

A Multiserver Configuration and Request Distribution Framework for Profit Maximization in a Three-Tier Cloud Service Architecture.

Tian Wang, Mingyue Zhang, Wei Shen, Linli Xu, Gongxuan Zhang

J. Circuits Syst. Comput., 2022

A New Privacy Protection Approach Based on K-Anonymity for Location-Based Cloud Services.

Tian Wang, Linli Xu, Mingyue Zhang, Huanhuan Zhang, Gongxuan Zhang

J. Circuits Syst. Comput., 2022

Difformer: Empowering Diffusion Model on Embedding Space for Text Generation.

Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu

CoRR, 2022

Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation.

Peining Zhang, Junliang Guo, Linli Xu, Mu You, Junming Yin

CoRR, 2022

Semantic-Preserving Abstractive Text Summarization with Siamese Generative Adversarial Net.

Xin Sheng, Linli Xu, Yinlong Xu, Deqiang Jiang, Bo Ren

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

Effects of Non-Driving-Related Tasks with Different Resource Demands on Driver Gaze Behavior.

Linli Xu, Lie Guo, Ping-Shu Ge, Xu Wang, Zengke Qin

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

CoCGAN: Contrastive Learning for Adversarial Category Text Generation.

Xin Sheng, Linli Xu, Yinlong Xu, Changcun Bao, Huang Chen, Bo Ren

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

Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation.

Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu

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

2021

Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation.

Junliang Guo, Zhirui Zhang, Linli Xu, Boxing Chen, Enhong Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Molten image fusion and enhancement based on image decomposition in frequency domain.

Linli Xu, Jinru Hang, Jing Han, Tian Wang, Lianfa Bai

Signal Image Video Process., 2021

Towards Variable-Length Textual Adversarial Attacks.

Junliang Guo, Zhirui Zhang, Linlin Zhang, Linli Xu, Boxing Chen, Enhong Chen, Weihua Luo

CoRR, 2021

Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations.

Linli Xu, Sijie Teng, Ruoyu Zhao, Junliang Guo, Chi Xiao, Deqiang Jiang, Bo Ren

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

STL-SGD: Speeding Up Local SGD with Stagewise Communication Period.

Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu

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

2020

An Efficient CNN to Realize Speckle Correlation Imaging Based on Cloud-Edge for Cyber-Physical-Social-System.

Linli Xu, Jing Han, Tian Wang, Lianfa Bai

IEEE Access, 2020

Incorporating BERT into Parallel Sequence Decoding with Adapters.

Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen

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

Label Incorporated Graph Neural Networks for Text Classification.

Yuan Xint, Linli Xu, Junliang Guo, Jiquan Li, Xin Sheng, Yuanyuan Zhou

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Dual-loss path CNNs fusion architecture for image restoration with scattered data.

Linli Xu, Jing Han, Lianfa Bai

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation.

Junliang Guo, Linli Xu, Enhong Chen

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

IntroVNMT: An Introspective Model for Variational Neural Machine Translation.

Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu

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

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation.

Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu

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

2019

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

Jingchang Liu, Linli Xu, Shuheng Shen, Qing Ling

Mach. Learn., 2019

Global Image Dehazing via Frequency Perception Filtering.

Linli Xu, Jing Han, Tian Wang, Lianfa Bai

J. Circuits Syst. Comput., 2019

Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent.

Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng

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

SPINE: Structural Identity Preserved Inductive Network Embedding.

Junliang Guo, Linli Xu, Jingchang Liu

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

Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization.

Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng

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

Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input.

Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu

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

2018

Dynamic Quality Ladder Model Predictions in Nonrandom Holdout Samples.

Linli Xu, Jorge M. Silva-Risso, Kenneth C. Wilbur

Manag. Sci., 2018

Asynchronous Stochastic Composition Optimization with Variance Reduction.

Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling

CoRR, 2018

Accelerating Stochastic Gradient Descent Using Antithetic Sampling.

Jingchang Liu, Linli Xu

CoRR, 2018

SPINE: Structural Identity Preserved Inductive Network Embedding.

Junliang Guo, Linli Xu, Enhong Chen

CoRR, 2018

Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies.

Linli Xu, Wenjun Ouyang, Xiaoying Ren, Yang Wang, Liang Jiang

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

Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach.

Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2018

Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective.

Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2018

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

Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du

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

2017

Generalized Neural Graph Embedding with Matrix Factorization.

Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen

CoRR, 2017

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

Linli Xu, Chao Zhang

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

2016

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

Yitan Li, Linli Xu, Xiaowei Zhong, Qing Ling

CoRR, 2016

Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains.

Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction.

Zaiyi Chen, Linli Xu, Enhong Chen, Biao Chang, Zhefeng Wang, Yitan Li

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data.

Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui

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

Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective.

Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong, Enhong Chen

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Feature Selection with Integrated Relevance and Redundancy Optimization.

Linli Xu, Qi Zhou, Aiqing Huang, Wenjun Ouyang, Enhong Chen

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

Community Detection Based on Structure and Content: A Content Propagation Perspective.

Liyuan Liu, Linli Xu, Zhen Wang, Enhong Chen

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

A Nonconvex Relaxation Approach for Rank Minimization Problems.

Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen

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

Temporally Adaptive Restricted Boltzmann Machine for Background Modeling.

Linli Xu, Yitan Li, Yubo Wang, Enhong Chen

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

Exploiting Task-Feature Co-Clusters in Multi-Task Learning.

Linli Xu, Aiqing Huang, Jianhui Chen, Enhong Chen

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

2014

Price Advertising by Manufacturers and Dealers.

Linli Xu, Kenneth C. Wilbur, S. Siddarth, Jorge M. Silva-Risso

Manag. Sci., 2014

Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels.

Linli Xu, Zhen Wang, Zefan Shen, Yubo Wang, Enhong Chen

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Robust Dynamic Trajectory Regression on Road Networks: A Multi-task Learning Framework.

Aiqing Huang, Linli Xu, Yitan Li, Enhong Chen

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Correcting Audience Externalities in Television Advertising.

Kenneth C. Wilbur, Linli Xu, David Kempe

Mark. Sci., 2013

Utilizing Social and Behavioral Neighbors for Personalized Recommendation.

Gang Xu, Linli Xu, Le Wu

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

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

Jun Fan, Linli Xu

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

Community detection by popularity based models for authored networked data.

Tianbao Yang, Prakash Mandayam Comar, Linli Xu

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

A Scalable Approach for General Correlation Clustering.

Yubo Wang, Linli Xu, Yucheng Chen, Hao Wang

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

2012

An efficient algorithm for maximal margin clustering.

Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu

J. Glob. Optim., 2012

Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning.

Haiping Ma, Enhong Chen, Linli Xu, Hui Xiong

Neurocomputing, 2012

Image Denoising and Inpainting with Deep Neural Networks.

Junyuan Xie, Linli Xu, Enhong Chen

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

Ensemble Pruning via Constrained Eigen-Optimization.

Linli Xu, Bo Li, Enhong Chen

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Leveraging tagging for neighborhood-aware probabilistic matrix factorization.

Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010

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

Yaoliang Yu, Min Yang, Linli Xu, Martha White, 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.

Linli Xu, Martha White, Dale Schuurmans

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

Fast normalized cut with linear constraints.

Linli Xu, Wenye Li, 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.

Linli Xu

PhD thesis, 2007

2006

Discriminative unsupervised learning of structured predictors.

Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dale Schuurmans

Proceedings of the Machine Learning, 2006

Robust Support Vector Machine Training via Convex Outlier Ablation.

Linli Xu, Koby Crammer, Dale Schuurmans

Proceedings of the Proceedings, 2006

2005

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

Linli Xu, Dale Schuurmans

Proceedings of the Proceedings, 2005

2004

Maximum Margin Clustering.

Linli Xu, James Neufeld, Bryce Larson, Dale Schuurmans

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