| 2026 | AAAI | Multimodal Table Understanding with Difficulty-aware Reinforcement Learning. | Chaohu Liu, Haoyu Cao, YongXiang Hua, Linli Xu |
| 2026 | ACL | MVP: Enhancing Video Large Language Models via Self-supervised Masked Video Prediction. | Xiaokun Sun, Zezhong Wu, Zewen Ding, Linli Xu |
| 2026 | WWW | Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm. | Jianting Tang, Dongshuai Li, Tao Wen, Fuyu Lv, Dan Ou, Linli Xu |
| 2025 | AAAI | S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation. | Mu You, Fang Zhang, Shuai Zhang, Linli Xu |
| 2025 | ACL | Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes. | Bocheng Li, Zhujin Gao, Linli Xu |
| 2025 | ACL | Dynamic Prefix as Instructor for Incremental Named Entity Recognition: A Unified Seq2Seq Generation Framework. | Zihao Wu, YongXiang Hua, Yongxin Zhu, Fang Zhang, Linli Xu |
| 2025 | ICCV | BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models. | Jianting Tang, Yubo Wang, Haoyu Cao, Linli Xu |
| 2025 | ICCV | Addressing Representation Collapse in Vector Quantized Models with One Linear Layer. | Yongxin Zhu, Bocheng Li, Yifei Xin, Zhihua Xia, Linli Xu |
| 2025 | ICLR | Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images. | Yubo Wang, Jianting Tang, Chaohu Liu, Linli Xu |
| 2025 | ICLR | Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators. | Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian |
| 2025 | WWW | Untitled record | Pengfei Luo, Jingbo Zhou, Tong Xu, Yuan Xia, Linli Xu, Enhong Chen |
| 2024 | AAAI | Visual Hallucination Elevates Speech Recognition. | Fang Zhang, Yongxin Zhu, Xiangxiang Wang, Huang Chen, Xing Sun, Linli Xu |
| 2024 | ACL | Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction. | Haoqiu Yan, Yongxin Zhu, Kai Zheng, Bing Liu, Haoyu Cao, Deqiang Jiang, Linli Xu |
| 2024 | ACL | Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer. | Yongxin Zhu, Dan Su, Liqiang He, Linli Xu, Dong Yu |
| 2024 | COLING | Few-shot Temporal Pruning Accelerates Diffusion Models for Text Generation. | Bocheng Li, Zhujin Gao, Yongxin Zhu, Kun Yin, Haoyu Cao, Deqiang Jiang, Linli Xu |
| 2024 | CVPR | HRVDA: High-Resolution Visual Document Assistant. | Chaohu Liu, Kun Yin, Haoyu Cao, Xinghua Jiang, Xin Li, Yinsong Liu, Deqiang Jiang, Xing Sun, Linli Xu |
| 2024 | ICANN | Summarizing Like Human: Edit-Based Text Summarization with Keywords. | Yukang Liang, Junliang Guo, Yongxin Zhu, Linli Xu |
| 2024 | ICASSP | 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 |
| 2024 | NAACL | Empowering Diffusion Models on the Embedding Space for Text Generation. | Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu |
| 2023 | AAAI | 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 |
| 2023 | ACL | Span-level Aspect-based Sentiment Analysis via Table Filling. | Mao Zhang, Yongxin Zhu, Zhen Liu, Zhimin Bao, Yunfei Wu, Xing Sun, Linli Xu |
| 2023 | EMNLP | DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation. | Yongxin Zhu, Zhujin Gao, Xinyuan Zhou, Zhongyi Ye, Linli Xu |
| 2023 | Interspeech | 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 |
| 2023 | KDD | Multi-Grained Multimodal Interaction Network for Entity Linking. | Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen |
| 2023 | PAKDD | 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 |
| 2022 | AAAI | 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 |
| 2022 | COLING | CoCGAN: Contrastive Learning for Adversarial Category Text Generation. | Xin Sheng, Linli Xu, Yinlong Xu, Changcun Bao, Huang Chen, Bo Ren |
| 2022 | NAACL | Semantic-Preserving Abstractive Text Summarization with Siamese Generative Adversarial Net. | Xin Sheng, Linli Xu, Yinlong Xu, Deqiang Jiang, Bo Ren |
| 2021 | AAAI | STL-SGD: Speeding Up Local SGD with Stagewise Communication Period. | Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu |
| 2021 | EMNLP | 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 |
| 2020 | AAAI | Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. | Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu |
| 2020 | AAAI | IntroVNMT: An Introspective Model for Variational Neural Machine Translation. | Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu |
| 2020 | ACL | Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation. | Junliang Guo, Linli Xu, Enhong Chen |
| 2020 | HPCC | Dual-loss path CNNs fusion architecture for image restoration with scattered data. | Linli Xu, Jing Han, Lianfa Bai |
| 2020 | ICPR | Label Incorporated Graph Neural Networks for Text Classification. | Yuan Xint, Linli Xu, Junliang Guo, Jiquan Li, Xin Sheng, Yuanyuan Zhou |
| 2019 | AAAI | Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. | Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu |
| 2019 | AAAI | Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. | Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng |
| 2019 | IJCAI | SPINE: Structural Identity Preserved Inductive Network Embedding. | Junliang Guo, Linli Xu, Jingchang Liu |
| 2019 | IJCAI | Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. | Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng |
| 2018 | AAAI | How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks. | Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du |
| 2018 | DASFAA | Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective. | Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen |
| 2018 | ICDM | Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. | Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen |
| 2018 | IJCAI | Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies. | Linli Xu, Wenjun Ouyang, Xiaoying Ren, Yang Wang, Liang Jiang |
| 2017 | AAAI | Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments. | Linli Xu, Chao Zhang |
| 2016 | ICDM | Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains. | Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie |
| 2015 | AAAI | Exploiting Task-Feature Co-Clusters in Multi-Task Learning. | Linli Xu, Aiqing Huang, Jianhui Chen, Enhong Chen |
| 2015 | AAAI | Temporally Adaptive Restricted Boltzmann Machine for Background Modeling. | Linli Xu, Yitan Li, Yubo Wang, Enhong Chen |
| 2015 | AAAI | A Nonconvex Relaxation Approach for Rank Minimization Problems. | Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen |
| 2015 | ICDM | Community Detection Based on Structure and Content: A Content Propagation Perspective. | Liyuan Liu, Linli Xu, Zhen Wang, Enhong Chen |
| 2015 | ICDM | Feature Selection with Integrated Relevance and Redundancy Optimization. | Linli Xu, Qi Zhou, Aiqing Huang, Wenjun Ouyang, Enhong Chen |
| 2015 | IJCAI | Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective. | Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong, Enhong Chen |
| 2015 | KDD | Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data. | Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui |
| 2015 | SDM | 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 |
| 2014 | ICDM | Robust Dynamic Trajectory Regression on Road Networks: A Multi-task Learning Framework. | Aiqing Huang, Linli Xu, Yitan Li, Enhong Chen |
| 2014 | ICDM | Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels. | Linli Xu, Zhen Wang, Zefan Shen, Yubo Wang, Enhong Chen |
| 2013 | ADMA | A Scalable Approach for General Correlation Clustering. | Yubo Wang, Linli Xu, Yucheng Chen, Hao Wang |
| 2013 | ISNN | A Robust Multi-criteria Recommendation Approach with Preference-Based Similarity and Support Vector Machine. | Jun Fan, Linli Xu |
| 2013 | ISNN | Utilizing Social and Behavioral Neighbors for Personalized Recommendation. | Gang Xu, Linli Xu, Le Wu |
| 2012 | CIKM | Leveraging tagging for neighborhood-aware probabilistic matrix factorization. | Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang |
| 2012 | ICDM | Ensemble Pruning via Constrained Eigen-Optimization. | Linli Xu, Bo Li, Enhong Chen |
| 2009 | CVPR | Fast normalized cut with linear constraints. | Linli Xu, Wenye Li, Dale Schuurmans |
| 2009 | ICML | Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning. | Linli Xu, Martha White, Dale Schuurmans |
| 2006 | AAAI | Robust Support Vector Machine Training via Convex Outlier Ablation. | Linli Xu, Koby Crammer, Dale Schuurmans |
| 2006 | ICML | Discriminative unsupervised learning of structured predictors. | Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dale Schuurmans |
| 2005 | AAAI | Unsupervised and Semi-Supervised Multi-Class Support Vector Machines. | Linli Xu, Dale Schuurmans |