Leveraging tagging for neighborhood-aware probabilistic matrix factorization. - Le Wu; Enhong Chen; Qi Liu 003; Linli Xu 002; Tengfei Bao; Lei Zhang 060 (CIKM, 2012)

Ensemble Pruning via Constrained Eigen-Optimization. - Linli Xu 002; Bo Li; Enhong Chen (ICDM, 2012)

Image Denoising and Inpainting with Deep Neural Networks. - Junyuan Xie; Linli Xu 002; Enhong Chen (NIPS, 2012)

Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning. - Haiping Ma; Enhong Chen; Linli Xu 002; Hui Xiong 001 (Neurocomputing, 2012)

Robust Dynamic Trajectory Regression on Road Networks: A Multi-task Learning Framework. - Aiqing Huang; Linli Xu 002; Yitan Li; Enhong Chen (ICDM, 2014)

Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels. - Linli Xu 002; Zhen Wang 004; Zefan Shen; Yubo Wang 010; Enhong Chen (ICDM, 2014)

Exploiting Task-Feature Co-Clusters in Multi-Task Learning. - Linli Xu 002; Aiqing Huang; Jianhui Chen; Enhong Chen (AAAI, 2015)

Temporally Adaptive Restricted Boltzmann Machine for Background Modeling. - Linli Xu 002; Yitan Li; Yubo Wang 010; Enhong Chen (AAAI, 2015)

A Nonconvex Relaxation Approach for Rank Minimization Problems. - Xiaowei Zhong; Linli Xu 002; Yitan Li; Zhiyuan Liu; Enhong Chen (AAAI, 2015)

Community Detection Based on Structure and Content: A Content Propagation Perspective. - Liyuan Liu; Linli Xu 002; Zhen Wang 004; Enhong Chen (ICDM, 2015)

Feature Selection with Integrated Relevance and Redundancy Optimization. - Linli Xu 002; Qi Zhou; Aiqing Huang; Wenjun Ouyang; Enhong Chen (ICDM, 2015)

Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective. - Yitan Li; Linli Xu 002; Fei Tian; Liang Jiang; Xiaowei Zhong; Enhong Chen (IJCAI, 2015)

Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data. - Yingzi Wang; Nicholas Jing Yuan; Defu Lian; Linli Xu 002; Xing Xie 001; Enhong Chen; Yong Rui (KDD, 2015)

Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction. - Zaiyi Chen; Linli Xu 002; Enhong Chen; Biao Chang; Zhefeng Wang 001; Yitan Li (SDM, 2015)

Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains. - Linli Xu 002; Zaiyi Chen; Qi Zhou; Enhong Chen; Nicholas Jing Yuan; Xing Xie 001 (ICDM, 2016)

Generalized Neural Graph Embedding with Matrix Factorization. - Junliang Guo; Linli Xu 002; Xunpeng Huang; Enhong Chen (CoRR, 2017)

Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective. - Junliang Guo; Linli Xu 002; Xunpeng Huang; Enhong Chen (DASFAA (1), 2018)

Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. - Xiaoying Ren; Linli Xu 002; Tianxiang Zhao 006; Chen Zhu 003; Junliang Guo; Enhong Chen (ICDM, 2018)

SPINE: Structural Identity Preserved Inductive Network Embedding. - Junliang Guo; Linli Xu 002; Jingchang Chen (CoRR, 2018)

Asynchronous Stochastic Composition Optimization with Variance Reduction. - Shuheng Shen; Linli Xu 002; Jingchang Liu; Junliang Guo; Qing Ling (CoRR, 2018)

Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. - Junliang Guo; Xu Tan 003; Di He 001; Tao Qin 001; Linli Xu 002; Tie-Yan Liu (AAAI, 2019)

Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. - Jingchang Liu; Linli Xu 002; Junliang Guo; Xin Sheng 003 (AAAI, 2019)

SPINE: Structural Identity Preserved Inductive Network Embedding. - Junliang Guo; Linli Xu 002; Jingchang Liu (IJCAI, 2019)

Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. - Shuheng Shen; Linli Xu 002; Jingchang Liu; Xianfeng Liang; Yifei Cheng 002 (IJCAI, 2019)

Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. - Junliang Guo; Xu Tan 003; Linli Xu 002; Tao Qin 001; Enhong Chen; Tie-Yan Liu (AAAI, 2020)

IntroVNMT: An Introspective Model for Variational Neural Machine Translation. - Xin Sheng 003; Linli Xu 002; Junliang Guo; Jingchang Liu; Ruoyu Zhao; Yinlong Xu (AAAI, 2020)

Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation. - Junliang Guo; Linli Xu 002; Enhong Chen (ACL, 2020)

Label Incorporated Graph Neural Networks for Text Classification. - Yuan Xint; Linli Xu 002; Junliang Guo; Jiquan Li; Xin Sheng 003; Yuanyuan Zhou (ICPR, 2020)

Incorporating BERT into Parallel Sequence Decoding with Adapters. - Junliang Guo; Zhirui Zhang; Linli Xu 002; Hao-Ran Wei; Boxing Chen; Enhong Chen (NeurIPS, 2020)

STL-SGD: Speeding Up Local SGD with Stagewise Communication Period. - Shuheng Shen; Yifei Cheng 002; Jingchang Liu; Linli Xu 002 (AAAI, 2021)

Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations. - Linli Xu 002; Sijie Teng; Ruoyu Zhao; Junliang Guo; Chi Xiao; Deqiang Jiang; Bo Ren 002 (EMNLP (1), 2021)

Towards Variable-Length Textual Adversarial Attacks. - Junliang Guo; Zhirui Zhang; Linlin Zhang; Linli Xu 002; Boxing Chen; Enhong Chen; Weihua Luo (CoRR, 2021)

Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation. - Junliang Guo; Zhirui Zhang; Linli Xu 002; Boxing Chen; Enhong Chen (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. - Jiquan Li; Junliang Guo; Yongxin Zhu 003; Xin Sheng 003; Deqiang Jiang; Bo Ren 002; Linli Xu 002 (AAAI, 2022)

CoCGAN: Contrastive Learning for Adversarial Category Text Generation. - Xin Sheng 003; Linli Xu 002; Yinlong Xu; Changcun Bao; Huang Chen; Bo Ren 002 (COLING, 2022)

Semantic-Preserving Abstractive Text Summarization with Siamese Generative Adversarial Net. - Xin Sheng 003; Linli Xu 002; Yinlong Xu; Deqiang Jiang; Bo Ren 002 (NAACL-HLT (Findings), 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 002; Mu You; Junming Yin (CoRR, 2022)

Difformer: Empowering Diffusion Model on Embedding Space for Text Generation. - Zhujin Gao; Junliang Guo; Xu Tan 003; Yongxin Zhu 003; Fang Zhang 006; Jiang Bian 002; Linli Xu 002 (CoRR, 2022)

Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA. - Yongxin Zhu 003; Zhen Liu; Yukang Liang; Xin Li 118; Hao Liu 003; Changcun Bao; Linli Xu 002 (AAAI, 2023)

Span-level Aspect-based Sentiment Analysis via Table Filling. - Mao Zhang 002; Yongxin Zhu 003; Zhen Liu; Zhimin Bao; Yunfei Wu; Xing Sun 001; Linli Xu 002 (ACL (1), 2023)

DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation. - Yongxin Zhu 003; Zhujin Gao; Xinyuan Zhou; Zhongyi Ye; Linli Xu 002 (EMNLP, 2023)

Multi-Grained Multimodal Interaction Network for Entity Linking. - Pengfei Luo; Tong Xu 001; Shiwei Wu; Chen Zhu 003; Linli Xu 002; Enhong Chen (KDD, 2023)

Cross and Self Attention Based Graph Convolutional Network for Aspect-Based Sentiment Analysis. - Mao Zhang 002; Sijie Teng; Linli Xu 002 (NLPCC (2), 2023)

ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval. - Zhen Liu; Yongxin Zhu 003; Zhujin Gao; Xin Sheng 003; Linli Xu 002 (PAKDD (3), 2023)

Visual Hallucination Elevates Speech Recognition. - Fang Zhang 006; Yongxin Zhu 003; Xiangxiang Wang; Huang Chen; Xing Sun 001; Linli Xu 002 (AAAI, 2024)

Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction. - Haoqiu Yan; Yongxin Zhu 003; Kai Zheng; Bing Liu; Haoyu Cao 001; Deqiang Jiang; Linli Xu 002 (ACL (1), 2024)

Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer. - Yongxin Zhu 003; Dan Su 002; Liqiang He; Linli Xu 002; Dong Yu 001 (ACL (1), 2024)

Few-shot Temporal Pruning Accelerates Diffusion Models for Text Generation. - Bocheng Li; Zhujin Gao; Yongxin Zhu 003; Kun Yin; Haoyu Cao 001; Deqiang Jiang; Linli Xu 002 (LREC/COLING, 2024)

HRVDA: High-Resolution Visual Document Assistant. - Chaohu Liu; Kun Yin; Haoyu Cao 001; Xinghua Jiang; Xin Li; Yinsong Liu; Deqiang Jiang; Xing Sun 001; Linli Xu 002 (CVPR, 2024)

Summarizing Like Human: Edit-Based Text Summarization with Keywords. - Yukang Liang; Junliang Guo; Yongxin Zhu 003; Linli Xu 002 (ICANN (7), 2024)

Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. - Yichao Du; Zhirui Zhang; Linan Yue; Xu Huang 008; Yuqing Zhang; Tong Xu 001; Linli Xu 002; Enhong Chen (ICASSP, 2024)

Bridging Gaps in Content and Knowledge for Multimodal Entity Linking. - Pengfei Luo; Tong Xu 001; Che Liu 001; Suojuan Zhang; Linli Xu 002; Minglei Li 001; Enhong Chen (ACM Multimedia, 2024)

Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models. - Yubo Wang 010; Chaohu Liu; Yanqiu Qu; Haoyu Cao 001; Deqiang Jiang; Linli Xu 002 (ACM Multimedia, 2024)

Empowering Diffusion Models on the Embedding Space for Text Generation. - Zhujin Gao; Junliang Guo; Xu Tan 003; Yongxin Zhu 003; Fang Zhang 006; Jiang Bian 002; Linli Xu 002 (NAACL-HLT, 2024)

Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective. - Yongxin Zhu 003; Bocheng Li; Hang Zhang; Xin Li 056; Linli Xu 002; Lidong Bing (NeurIPS, 2024)

Video In-context Learning. - Wentao Zhang; Junliang Guo; Tianyu He; Li Zhao 007; Linli Xu 002; Jiang Bian 002 (CoRR, 2024)

Addressing Representation Collapse in Vector Quantized Models with One Linear Layer. - Yongxin Zhu 003; Bocheng Li; Yifei Xin; Linli Xu 002 (CoRR, 2024)

Communication-efficient clustered federated learning via model distance. - Mao Zhang 002; Tie Zhang; Yifei Cheng 002; Changcun Bao; Haoyu Cao 001; Deqiang Jiang; Linli Xu 002 (Mach. Learn., 2024)

S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation. - Mu You; Fang Zhang 006; Shuai Zhang; Linli Xu 002 (AAAI, 2025)

Dynamic Prefix as Instructor for Incremental Named Entity Recognition: A Unified Seq2Seq Generation Framework. - Zihao Wu; YongXiang Hua; Yongxin Zhu 003; Fang Zhang 006; Linli Xu 002 (ACL (Findings), 2025)

BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models. - Jianting Tang; Yubo Wang 010; Haoyu Cao 004; Linli Xu 002 (ICCV, 2025)

Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images. - Yubo Wang 010; Jianting Tang; Chaohu Liu; Linli Xu 002 (ICLR, 2025)

Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators. - Wentao Zhang; Junliang Guo; Tianyu He; Li Zhao 007; Linli Xu 002; Jiang Bian 002 (ICLR, 2025)

Input Domain Aware MoE: Decoupling Routing Decisions from Task Optimization in Mixture of Experts. - YongXiang Hua; Haoyu Cao 001; Zhou Tao; Bocheng Li; Zihao Wu; Chaohu Liu; Linli Xu 002 (ACM Multimedia, 2025)

CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs. - Jianting Tang; Yubo Wang 010; Haoyu Cao 001; Linli Xu 002 (ACM Multimedia, 2025)

ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning. - Pengfei Luo; Jingbo Zhou 003; Tong Xu 001; Yuan Xia; Linli Xu 002; Enhong Chen (WWW, 2025)

Communication-efficient distributed learning with Local Immediate Error Compensation. - Yifei Cheng 002; Li Shen 008; Linli Xu 002; Xun Qian; Shiwei Wu; Yiming Zhou; Tie Zhang; Dacheng Tao; Enhong Chen (Neural Networks, 2025)

ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning. - Pengfei Luo; Jingbo Zhou 003; Tong Xu 001; Yuan Xia; Linli Xu 002; Enhong Chen (CoRR, 2025)

CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs. - Jianting Tang; Yubo Wang 010; Haoyu Cao 004; Linli Xu 002 (CoRR, 2025)

Adaptive Weighting Push-SUM for Decentralized Optimization With Statistical Diversity. - Yiming Zhou; Yifei Cheng 002; Linli Xu 002; Enhong Chen (IEEE Trans. Control. Netw. Syst., 2025)

DiG: Differential Grounding for Enhancing Fine-Grained Perception in Multimodal Large Language Model. - Zhou Tao; Shida Wang; YongXiang Hua; Haoyu Cao 004; Linli Xu 002 (CoRR, 2025)

Multimodal Table Understanding with Difficulty-aware Reinforcement Learning. - Chaohu Liu; Haoyu Cao 001; YongXiang Hua; Linli Xu 002 (AAAI, 2026)

ExpV2S: Zero-Shot Expressive Video-to-Speech Synthesis via Latent Diffusion Model. - Fang Zhang 006; Anqi Gou; Linli Xu 002 (ICMR, 2026)

Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm. - Jianting Tang; Dongshuai Li; Tao Wen 018; Fuyu Lv; Dan Ou; Linli Xu 002 (WWW, 2026)

When Thinking Hurts: Mitigating Visual Forgetting in Video Reasoning via Frame Repetition. - Xiaokun Sun; Yubo Wang 010; Haoyu Cao 001; Linli Xu 002 (CoRR, 2026)

Dynamic Token Compression for Efficient Video Understanding through Reinforcement Learning. - Shida Wang; YongXiang Hua; Zhou Tao; Haoyu Cao 001; Linli Xu 002 (CoRR, 2026)