Xu, Linli

35 publications

ICCV 2025 Addressing Representation Collapse in Vector Quantized Models with One Linear Layer Yongxin Zhu, Bocheng Li, Yifei Xin, Zhihua Xia, Linli Xu
ICCV 2025 BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models Jianting Tang, Yubo Wang, Haoyu Cao, Linli Xu
AAAI 2025 S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation Mu You, Fang Zhang, Shuai Zhang, Linli Xu
ICLR 2025 Tracking the Copyright of Large Vision-Language Models Through Parameter Learning Adversarial Images Yubo Wang, Jianting Tang, Chaohu Liu, Linli Xu
ICLR 2025 Video In-Context Learning: Autoregressive Transformers Are Zero-Shot Video Imitators Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian
MLJ 2024 Communication-Efficient Clustered Federated Learning via Model Distance Mao Zhang, Tie Zhang, Yifei Cheng, Changcun Bao, Haoyu Cao, Deqiang Jiang, Linli Xu
CVPR 2024 HRVDA: High-Resolution Visual Document Assistant Chaohu Liu, Kun Yin, Haoyu Cao, Xinghua Jiang, Xin Li, Yinsong Liu, Deqiang Jiang, Xing Sun, Linli Xu
NeurIPS 2024 Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective Yongxin Zhu, Bocheng Li, Hang Zhang, Xin Li, Linli Xu, Lidong Bing
AAAI 2024 Visual Hallucination Elevates Speech Recognition Fang Zhang, Yongxin Zhu, Xiangxiang Wang, Huang Chen, Xing Sun, Linli Xu
AAAI 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
AAAI 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
AAAI 2021 STL-SGD: Speeding up Local SGD with Stagewise Communication Period Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu
AAAI 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
NeurIPS 2020 Incorporating BERT into Parallel Sequence Decoding with Adapters Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen
AAAI 2020 IntroVNMT: An Introspective Model for Variational Neural Machine Translation Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu
AAAI 2019 Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng
MLJ 2019 An Accelerated Variance Reducing Stochastic Method with Douglas-Rachford Splitting Jingchang Liu, Linli Xu, Shuheng Shen, Qing Ling
IJCAI 2019 Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng
AAAI 2019 Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu
IJCAI 2019 SPINE: Structural Identity Preserved Inductive Network Embedding Junliang Guo, Linli Xu, Jingchang Liu
IJCAI 2018 Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies Linli Xu, Wenjun Ouyang, Xiaoying Ren, Yang Wang, Liang Jiang
AAAI 2018 How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du
AAAI 2017 Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments Linli Xu, Chao Zhang
AAAI 2015 A Nonconvex Relaxation Approach for Rank Minimization Problems Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen
AAAI 2015 Exploiting Task-Feature Co-Clusters in Multi-Task Learning Linli Xu, Aiqing Huang, Jianhui Chen, Enhong Chen
AAAI 2015 Temporally Adaptive Restricted Boltzmann Machine for Background Modeling Linli Xu, Yitan Li, Yubo Wang, Enhong Chen
IJCAI 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
NeurIPS 2012 Image Denoising and Inpainting with Deep Neural Networks Junyuan Xie, Linli Xu, Enhong Chen
NeurIPS 2010 Relaxed Clipping: A Global Training Method for Robust Regression and Classification Min Yang, Linli Xu, Martha White, Dale Schuurmans, Yao-liang Yu
CVPR 2009 Fast Normalized Cut with Linear Constraints Linli Xu, Wenye Li, Dale Schuurmans
ICML 2009 Optimal Reverse Prediction: A Unified Perspective on Supervised, Unsupervised and Semi-Supervised Learning Linli Xu, Martha White, Dale Schuurmans
ICML 2006 Discriminative Unsupervised Learning of Structured Predictors Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dale Schuurmans
AAAI 2006 Robust Support Vector Machine Training via Convex Outlier Ablation Linli Xu, Koby Crammer, Dale Schuurmans
AAAI 2005 Unsupervised and Semi-Supervised Multi-Class Support Vector Machines Linli Xu, Dale Schuurmans
NeurIPS 2004 Maximum Margin Clustering Linli Xu, James Neufeld, Bryce Larson, Dale Schuurmans