Linli Xu - RankMe

138 papers A* 45A 3B 3Misc 1Journal 64Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DGWOSC: A depth-based grey wolf optimizer for reliability aware soft real-time service scheduling and multiserver configuration. Future Gener. Comput. Syst. Tian Wang, Jianfei Chen, Liying Li, Wei Shen, Lei Zhou, Linli Xu, Junlong Zhou
2026	J	`jnl`	Dynamic Token Compression for Efficient Video Understanding through Reinforcement Learning. CoRR Shida Wang, YongXiang Hua, Zhou Tao, Haoyu Cao, Linli Xu
2026	A*	`conf`	Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm. WWW Jianting Tang, Dongshuai Li, Tao Wen, Fuyu Lv, Dan Ou, Linli Xu
2026	J	`jnl`	MVP: Enhancing Video Large Language Models via Self-supervised Masked Video Prediction. CoRR Xiaokun Sun, Zezhong Wu, Zewen Ding, Linli Xu
2026	A*	`conf`	Multimodal Table Understanding with Difficulty-aware Reinforcement Learning. AAAI Chaohu Liu, Haoyu Cao, YongXiang Hua, Linli Xu
2026	J	`jnl`	When Thinking Hurts: Mitigating Visual Forgetting in Video Reasoning via Frame Repetition. CoRR Xiaokun Sun, Yubo Wang, Haoyu Cao, Linli Xu
2025	J	`jnl`	AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization. CoRR Chaohu Liu, Tianyi Gui, Yu Liu, Linli Xu
2025	J	`jnl`	Adaptive Weighting Push-SUM for Decentralized Optimization With Statistical Diversity. IEEE Trans. Control. Netw. Syst. Yiming Zhou, Yifei Cheng, Linli Xu, Enhong Chen
2025	J	`jnl`	An Empirical Study of Strategic Opacity in Crowdsourced Evaluations. MIS Q. Linli Xu, Qi Xie, Gordon Burtch
2025	J	`jnl`	BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models. CoRR Jianting Tang, Yubo Wang, Haoyu Cao, Linli Xu
2025	A*	`conf`	CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs. ACM Multimedia Jianting Tang, Yubo Wang, Haoyu Cao, Linli Xu
2025	J	`jnl`	CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs. CoRR Jianting Tang, Yubo Wang, Haoyu Cao, Linli Xu
2025	J	`jnl`	Communication-efficient distributed learning with Local Immediate Error Compensation. Neural Networks Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, Dacheng Tao, Enhong Chen
2025	J	`jnl`	Customer Voice on Two-Sided Platforms: The Effect of Surge Pricing on Customer Complaints. Manag. Sci. Linli Xu, Yanhao Max Wei, Yi Zhu
2025	J	`jnl`	DiG: Differential Grounding for Enhancing Fine-Grained Perception in Multimodal Large Language Model. CoRR Zhou Tao, Shida Wang, YongXiang Hua, Haoyu Cao, Linli Xu
2025	—	`conf`	Dynamic Prefix as Instructor for Incremental Named Entity Recognition: A Unified Seq2Seq Generation Framework. ACL (Findings) Zihao Wu, YongXiang Hua, Yongxin Zhu, Fang Zhang, Linli Xu
2025	J	`jnl`	FPEdit: Robust LLM Fingerprinting through Localized Knowledge Editing. CoRR Shida Wang, Chaohu Liu, Yubo Wang, Linli Xu
2025	J	`jnl`	ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning. CoRR Pengfei Luo, Jingbo Zhou, Tong Xu, Yuan Xia, Linli Xu, Enhong Chen
2025	A*	`conf`	Input Domain Aware MoE: Decoupling Routing Decisions from Task Optimization in Mixture of Experts. ACM Multimedia YongXiang Hua, Haoyu Cao, Zhou Tao, Bocheng Li, Zihao Wu, Chaohu Liu, Linli Xu
2025	J	`jnl`	Input Domain Aware MoE: Decoupling Routing Decisions from Task Optimization in Mixture of Experts. CoRR YongXiang Hua, Haoyu Cao, Zhou Tao, Bocheng Li, Zihao Wu, Chaohu Liu, Linli Xu
2025	J	`jnl`	Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm. CoRR Jianting Tang, Dongshuai Li, Tao Wen, Fuyu Lv, Dan Ou, Linli Xu
2025	A*	`conf`	S²MILE: Semantic-and-Structure-Aware Music-Driven Lyric Generation. AAAI Mu You, Fang Zhang, Shuai Zhang, Linli Xu
2025	A*	`conf`	Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images. ICLR Yubo Wang, Jianting Tang, Chaohu Liu, Linli Xu
2025	J	`jnl`	Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images. CoRR Yubo Wang, Jianting Tang, Chaohu Liu, Linli Xu
2025	—	`conf`	Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes. ACL (1) Bocheng Li, Zhujin Gao, Linli Xu
2025	J	`jnl`	Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes. CoRR Bocheng Li, Zhujin Gao, Linli Xu
2025	A*	`conf`	Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators. ICLR Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian
2024	J	`jnl`	Adaptive Weighting Push-SUM for Decentralized Optimization with Statistical Diversity. CoRR Yiming Zhou, Yifei Cheng, Linli Xu, Enhong Chen
2024	J	`jnl`	Addressing Representation Collapse in Vector Quantized Models with One Linear Layer. CoRR Yongxin Zhu, Bocheng Li, Yifei Xin, Linli Xu
2024	A*	`conf`	Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models. ACM Multimedia Yubo Wang, Chaohu Liu, Yanqiu Qu, Haoyu Cao, Deqiang Jiang, Linli Xu
2024	J	`jnl`	Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models. CoRR Yubo Wang, Chaohu Liu, Yanqiu Qu, Haoyu Cao, Deqiang Jiang, Linli Xu
2024	A*	`conf`	Bridging Gaps in Content and Knowledge for Multimodal Entity Linking. ACM Multimedia Pengfei Luo, Tong Xu, Che Liu, Suojuan Zhang, Linli Xu, Minglei Li, Enhong Chen
2024	J	`jnl`	Communication-Efficient Distributed Learning with Local Immediate Error Compensation. CoRR Yifei Cheng, Li Shen, Linli Xu, Xun Qian, Shiwei Wu, Yiming Zhou, Tie Zhang, Dacheng Tao, Enhong Chen
2024	Misc	`conf`	Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. ICASSP Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen
2024	J	`jnl`	Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. CoRR Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen
2024	J	`jnl`	Communication-efficient clustered federated learning via model distance. Mach. Learn. Mao Zhang, Tie Zhang, Yifei Cheng, Changcun Bao, Haoyu Cao, Deqiang Jiang, Linli Xu
2024	—	`conf`	Empowering Diffusion Models on the Embedding Space for Text Generation. NAACL-HLT Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu
2024	—	`conf`	Few-shot Temporal Pruning Accelerates Diffusion Models for Text Generation. LREC/COLING Bocheng Li, Zhujin Gao, Yongxin Zhu, Kun Yin, Haoyu Cao, Deqiang Jiang, Linli Xu
2024	—	`conf`	Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer. ACL (1) Yongxin Zhu, Dan Su, Liqiang He, Linli Xu, Dong Yu
2024	J	`jnl`	Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer. CoRR Yongxin Zhu, Dan Su, Liqiang He, Linli Xu, Dong Yu
2024	A*	`conf`	HRVDA: High-Resolution Visual Document Assistant. CVPR Chaohu Liu, Kun Yin, Haoyu Cao, Xinghua Jiang, Xin Li, Yinsong Liu, Deqiang Jiang, Xing Sun, Linli Xu
2024	J	`jnl`	HRVDA: High-Resolution Visual Document Assistant. CoRR Chaohu Liu, Kun Yin, Haoyu Cao, Xinghua Jiang, Xin Li, Yinsong Liu, Deqiang Jiang, Xing Sun, Linli Xu
2024	A*	`conf`	Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective. NeurIPS Yongxin Zhu, Bocheng Li, Hang Zhang, Xin Li, Linli Xu, Lidong Bing
2024	J	`jnl`	Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective. CoRR Yongxin Zhu, Bocheng Li, Hang Zhang, Xin Li, Linli Xu, Lidong Bing
2024	—	`conf`	Summarizing Like Human: Edit-Based Text Summarization with Keywords. ICANN (7) Yukang Liang, Junliang Guo, Yongxin Zhu, Linli Xu
2024	—	`conf`	Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction. ACL (1) Haoqiu Yan, Yongxin Zhu, Kai Zheng, Bing Liu, Haoyu Cao, Deqiang Jiang, Linli Xu
2024	J	`jnl`	Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction. CoRR Haoqiu Yan, Yongxin Zhu, Kai Zheng, Bing Liu, Haoyu Cao, Deqiang Jiang, Linli Xu
2024	J	`jnl`	Transition in Different Critical Situations: How Non-Driving Related Tasks Affect Drivers' Physiological Response and Takeover Behavior After Partial Automation Silent Failures. IEEE Trans. Intell. Transp. Syst. Linli Xu, Lie Guo, Pingshu Ge, Xu Wang
2024	J	`jnl`	Video In-context Learning. CoRR Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian
2024	A*	`conf`	Visual Hallucination Elevates Speech Recognition. AAAI Fang Zhang, Yongxin Zhu, Xiangxiang Wang, Huang Chen, Xing Sun, Linli Xu
2023	J	`jnl`	A two-stage enhancement network with optimized effective receptive field for speckle image reconstruction. Multim. Tools Appl. Linli Xu, Peixian Liang, Jing Han, Lianfa Bai, Danny Z. Chen
2023	—	`conf`	Cross and Self Attention Based Graph Convolutional Network for Aspect-Based Sentiment Analysis. NLPCC (2) Mao Zhang, Sijie Teng, Linli Xu
2023	A*	`conf`	DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation. EMNLP Yongxin Zhu, Zhujin Gao, Xinyuan Zhou, Zhongyi Ye, Linli Xu
2023	J	`jnl`	DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation. CoRR Yongxin Zhu, Zhujin Gao, Xinyuan Zhou, Zhongyi Ye, Linli Xu
2023	A	`conf`	End-to-End Word-Level Pronunciation Assessment with MASK Pre-training. INTERSPEECH Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
2023	J	`jnl`	End-to-End Word-Level Pronunciation Assessment with MASK Pre-training. CoRR Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu
2023	J	`jnl`	How Resource Demands of Nondriving-Related Tasks and Engagement Time Affect Drivers' Physiological Response and Takeover Performance in Conditional Automated Driving. IEEE Trans. Hum. Mach. Syst. Lie Guo, Linli Xu, Pingshu Ge, Xu Wang
2023	—	`conf`	ItrievalKD: An Iterative Retrieval Framework Assisted with Knowledge Distillation for Noisy Text-to-Image Retrieval. PAKDD (3) Zhen Liu, Yongxin Zhu, Zhujin Gao, Xin Sheng, Linli Xu
2023	A*	`conf`	Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA. AAAI Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao Liu, Changcun Bao, Linli Xu
2023	J	`jnl`	Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA. CoRR Yongxin Zhu, Zhen Liu, Yukang Liang, Xin Li, Hao Liu, Changcun Bao, Linli Xu
2023	A*	`conf`	Multi-Grained Multimodal Interaction Network for Entity Linking. KDD Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen
2023	J	`jnl`	Multi-Grained Multimodal Interaction Network for Entity Linking. CoRR Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen
2023	—	`conf`	Span-level Aspect-based Sentiment Analysis via Table Filling. ACL (1) Mao Zhang, Yongxin Zhu, Zhen Liu, Zhimin Bao, Yunfei Wu, Xing Sun, Linli Xu
2022	J	`jnl`	A Multiserver Configuration and Request Distribution Framework for Profit Maximization in a Three-Tier Cloud Service Architecture. J. Circuits Syst. Comput. Tian Wang, Mingyue Zhang, Wei Shen, Linli Xu, Gongxuan Zhang
2022	J	`jnl`	A New Privacy Protection Approach Based on K-Anonymity for Location-Based Cloud Services. J. Circuits Syst. Comput. Tian Wang, Linli Xu, Mingyue Zhang, Huanhuan Zhang, Gongxuan Zhang
2022	J	`jnl`	Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation. CoRR Peining Zhang, Junliang Guo, Linli Xu, Mu You, Junming Yin
2022	B	`conf`	CoCGAN: Contrastive Learning for Adversarial Category Text Generation. COLING Xin Sheng, Linli Xu, Yinlong Xu, Changcun Bao, Huang Chen, Bo Ren
2022	J	`jnl`	Difformer: Empowering Diffusion Model on Embedding Space for Text Generation. CoRR Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu
2022	—	`conf`	Effects of Non-Driving-Related Tasks with Different Resource Demands on Driver Gaze Behavior. ITSC Linli Xu, Lie Guo, Ping-Shu Ge, Xu Wang, Zengke Qin
2022	J	`jnl`	Global Filter of Fusing Near-Infrared and Visible Images in Frequency Domain for Defogging. IEEE Signal Process. Lett. Linli Xu, Peixian Liang, Jing Han, Lianfa Bai, Danny Z. Chen
2022	—	`conf`	Semantic-Preserving Abstractive Text Summarization with Siamese Generative Adversarial Net. NAACL-HLT (Findings) Xin Sheng, Linli Xu, Yinlong Xu, Deqiang Jiang, Bo Ren
2022	A*	`conf`	Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. AAAI Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu
2022	J	`jnl`	Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. CoRR Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu
2021	J	`jnl`	Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. Junliang Guo, Zhirui Zhang, Linli Xu, Boxing Chen, Enhong Chen
2021	—	`conf`	Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations. EMNLP (1) Linli Xu, Sijie Teng, Ruoyu Zhao, Junliang Guo, Chi Xiao, Deqiang Jiang, Bo Ren
2021	J	`jnl`	Molten image fusion and enhancement based on image decomposition in frequency domain. Signal Image Video Process. Linli Xu, Jinru Hang, Jing Han, Tian Wang, Lianfa Bai
2021	A*	`conf`	STL-SGD: Speeding Up Local SGD with Stagewise Communication Period. AAAI Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu
2021	J	`jnl`	Towards Variable-Length Textual Adversarial Attacks. CoRR Junliang Guo, Zhirui Zhang, Linlin Zhang, Linli Xu, Boxing Chen, Enhong Chen, Weihua Luo
2020	J	`jnl`	An Efficient CNN to Realize Speckle Correlation Imaging Based on Cloud-Edge for Cyber-Physical-Social-System. IEEE Access Linli Xu, Jing Han, Tian Wang, Lianfa Bai
2020	—	`conf`	Dual-loss path CNNs fusion architecture for image restoration with scattered data. HPCC/DSS/SmartCity Linli Xu, Jing Han, Lianfa Bai
2020	A*	`conf`	Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. AAAI Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu
2020	A*	`conf`	Incorporating BERT into Parallel Sequence Decoding with Adapters. NeurIPS Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen
2020	J	`jnl`	Incorporating BERT into Parallel Sequence Decoding with Adapters. CoRR Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen
2020	A*	`conf`	IntroVNMT: An Introspective Model for Variational Neural Machine Translation. AAAI Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu
2020	A*	`conf`	Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation. ACL Junliang Guo, Linli Xu, Enhong Chen
2020	B	`conf`	Label Incorporated Graph Neural Networks for Text Classification. ICPR Yuan Xint, Linli Xu, Junliang Guo, Jiquan Li, Xin Sheng, Yuanyuan Zhou
2020	J	`jnl`	STL-SGD: Speeding Up Local SGD with Stagewise Communication Period. CoRR Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu
2019	A*	`conf`	Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. AAAI Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng
2019	J	`jnl`	An accelerated variance reducing stochastic method with Douglas-Rachford splitting. Mach. Learn. Jingchang Liu, Linli Xu, Shuheng Shen, Qing Ling
2019	A*	`conf`	Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. IJCAI Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng
2019	J	`jnl`	Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent. CoRR Shuheng Shen, Linli Xu, Jingchang Liu, Xianfeng Liang, Yifei Cheng
2019	J	`jnl`	Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. CoRR Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu
2019	J	`jnl`	Global Image Dehazing via Frequency Perception Filtering. J. Circuits Syst. Comput. Linli Xu, Jing Han, Tian Wang, Lianfa Bai
2019	A*	`conf`	Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. AAAI Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu
2019	A*	`conf`	SPINE: Structural Identity Preserved Inductive Network Embedding. IJCAI Junliang Guo, Linli Xu, Jingchang Liu
2018	J	`jnl`	Accelerating Stochastic Gradient Descent Using Antithetic Sampling. CoRR Jingchang Liu, Linli Xu
2018	J	`jnl`	Asynchronous Stochastic Composition Optimization with Variance Reduction. CoRR Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling
2018	J	`jnl`	Dynamic Quality Ladder Model Predictions in Nonrandom Holdout Samples. Manag. Sci. Linli Xu, Jorge M. Silva-Risso, Kenneth C. Wilbur
2018	—	`conf`	Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective. DASFAA (1) Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen
2018	A*	`conf`	Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies. IJCAI Linli Xu, Wenjun Ouyang, Xiaoying Ren, Yang Wang, Liang Jiang
2018	A*	`conf`	How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks. AAAI Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du
2018	J	`jnl`	How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks. CoRR Linli Xu, Liang Jiang, Chuan Qin, Zhe Wang, Dongfang Du
2018	J	`jnl`	Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. CoRR Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu
2018	J	`jnl`	SPINE: Structural Identity Preserved Inductive Network Embedding. CoRR Junliang Guo, Linli Xu, Jingchang Chen
2018	A*	`conf`	Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. ICDM Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen
2017	A*	`conf`	Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments. AAAI Linli Xu, Chao Zhang
2017	J	`jnl`	Generalized Neural Graph Embedding with Matrix Factorization. CoRR Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen
2016	A*	`conf`	Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains. ICDM Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie
2016	J	`jnl`	Make Workers Work Harder: Decoupled Asynchronous Proximal Stochastic Gradient Descent. CoRR Yitan Li, Linli Xu, Xiaowei Zhong, Qing Ling
2015	A*	`conf`	A Nonconvex Relaxation Approach for Rank Minimization Problems. AAAI Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen
2015	A*	`conf`	Community Detection Based on Structure and Content: A Content Propagation Perspective. ICDM Liyuan Liu, Linli Xu, Zhen Wang, Enhong Chen
2015	A*	`conf`	Exploiting Task-Feature Co-Clusters in Multi-Task Learning. AAAI Linli Xu, Aiqing Huang, Jianhui Chen, Enhong Chen
2015	A*	`conf`	Feature Selection with Integrated Relevance and Redundancy Optimization. ICDM Linli Xu, Qi Zhou, Aiqing Huang, Wenjun Ouyang, Enhong Chen
2015	A*	`conf`	Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data. KDD Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui
2015	A	`conf`	Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction. SDM Zaiyi Chen, Linli Xu, Enhong Chen, Biao Chang, Zhefeng Wang, Yitan Li
2015	A*	`conf`	Temporally Adaptive Restricted Boltzmann Machine for Background Modeling. AAAI Linli Xu, Yitan Li, Yubo Wang, Enhong Chen
2015	A*	`conf`	Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective. IJCAI Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong, Enhong Chen
2014	A*	`conf`	Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels. ICDM Linli Xu, Zhen Wang, Zefan Shen, Yubo Wang, Enhong Chen
2014	J	`jnl`	Price Advertising by Manufacturers and Dealers. Manag. Sci. Linli Xu, Kenneth C. Wilbur, S. Siddarth, Jorge M. Silva-Risso
2014	A*	`conf`	Robust Dynamic Trajectory Regression on Road Networks: A Multi-task Learning Framework. ICDM Aiqing Huang, Linli Xu, Yitan Li, Enhong Chen
2013	—	`conf`	A Robust Multi-criteria Recommendation Approach with Preference-Based Similarity and Support Vector Machine. ISNN (2) Jun Fan, Linli Xu
2013	—	`conf`	A Scalable Approach for General Correlation Clustering. ADMA (2) Yubo Wang, Linli Xu, Yucheng Chen, Hao Wang
2013	B	`conf`	Community detection by popularity based models for authored networked data. ASONAM Tianbao Yang, Prakash Mandayam Comar, Linli Xu
2013	J	`jnl`	Correcting Audience Externalities in Television Advertising. Mark. Sci. Kenneth C. Wilbur, Linli Xu, David Kempe
2013	—	`conf`	Utilizing Social and Behavioral Neighbors for Personalized Recommendation. ISNN (2) Gang Xu, Linli Xu, Le Wu
2012	J	`jnl`	An efficient algorithm for maximal margin clustering. J. Glob. Optim. Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu
2012	J	`jnl`	Capturing correlations of multiple labels: A generative probabilistic model for multi-label learning. Neurocomputing Haiping Ma, Enhong Chen, Linli Xu, Hui Xiong
2012	A*	`conf`	Ensemble Pruning via Constrained Eigen-Optimization. ICDM Linli Xu, Bo Li, Enhong Chen
2012	—	`conf`	Image Denoising and Inpainting with Deep Neural Networks. NIPS Junyuan Xie, Linli Xu, Enhong Chen
2012	A	`conf`	Leveraging tagging for neighborhood-aware probabilistic matrix factorization. CIKM Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang
2010	—	`conf`	Relaxed Clipping: A Global Training Method for Robust Regression and Classification. NIPS Yaoliang Yu, Min Yang, Linli Xu, Martha White, Dale Schuurmans
2009	A*	`conf`	Fast normalized cut with linear constraints. CVPR Linli Xu, Wenye Li, Dale Schuurmans
2009	A*	`conf`	Optimal reverse prediction: a unified perspective on supervised, unsupervised and semi-supervised learning. ICML Linli Xu, Martha White, Dale Schuurmans
2007	—	`—`	Convex Large Margin Training - Unsupervised, Semi-supervised, and Robust Support Vector Machines. Linli Xu
2006	A*	`conf`	Discriminative unsupervised learning of structured predictors. ICML Linli Xu, Dana F. Wilkinson, Finnegan Southey, Dale Schuurmans
2006	A*	`conf`	Robust Support Vector Machine Training via Convex Outlier Ablation. AAAI Linli Xu, Koby Crammer, Dale Schuurmans
2005	A*	`conf`	Unsupervised and Semi-Supervised Multi-Class Support Vector Machines. AAAI Linli Xu, Dale Schuurmans
2004	—	`conf`	Maximum Margin Clustering. NIPS Linli Xu, James Neufeld, Bryce Larson, Dale Schuurmans