Xian Wu

According to our database, Xian Wu authored at least 133 papers between 2006 and 2024.

Collaborative distances:

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

2024

Large language models for generative information extraction: a survey.

Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Yang Wang, Enhong Chen

Frontiers Comput. Sci., December, 2024

Distributional Fairness-aware Recommendation.

Hao Yang, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

ACM Trans. Inf. Syst., September, 2024

ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation.

Bang Yang, Fenglin Liu, Yuexian Zou, Xian Wu, Yaowei Wang, David A. Clifton

IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

Conditional Cross-Platform User Engagement Prediction.

Xinhang Li, Zhaopeng Qiu, Jiacheng Jiang, Yong Zhang, Chunxiao Xing, Xian Wu

ACM Trans. Inf. Syst., January, 2024

Large language models leverage external knowledge to extend clinical insight beyond language boundaries.

Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Shixu Lin, Yingying Zhang, Yefeng Zheng, Changzheng Yuan, Jie Yang

J. Am. Medical Informatics Assoc., 2024

Large Language Model Empowered Embedding Generator for Sequential Recommendation.

Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng

CoRR, 2024

Evolving to be Your Soulmate: Personalized Dialogue Agents with Dynamically Adapted Personas.

Yi Cheng, Wenge Liu, Kaishuai Xu, Wenjun Hou, Yi Ouyang, Chak Tou Leong, Xian Wu, Yefeng Zheng

CoRR, 2024

Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item.

Qidong Liu, Xian Wu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng

CoRR, 2024

Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection.

Rui Zhang, Dawei Cheng, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng

CoRR, 2024

MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding.

Jiageng Wu, Xian Wu, Yefeng Zheng, Jie Yang

CoRR, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.

Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen

CoRR, 2024

Large Language Model Distilling Medication Recommendation Model.

Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Zijian Zhang, Feng Tian, Yefeng Zheng

CoRR, 2024

A deep learning approach for inter-patient classification of premature ventricular contraction from electrocardiogram.

Ziqiang Wang, Kun Wang, Xiaozhong Chen, Yefeng Zheng, Xian Wu

Biomed. Signal Process. Control., 2024

GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph.

Xi Sheryl Zhang, Weifan Guan, Jiahao Lu, Zhaopeng Qiu, Jian Cheng, Xian Wu, Yefeng Zheng

Proceedings of the ACM on Web Conference 2024, 2024

Causally Debiased Time-aware Recommendation.

Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

Proceedings of the ACM on Web Conference 2024, 2024

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications.

Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

InMu-Net: Advancing Multi-modal Intent Detection via Information Bottleneck and Multi-sensory Processing.

Zhihong Zhu, Xuxin Cheng, Zhaorun Chen, Yuyan Chen, Yunyan Zhang, Xian Wu, Yefeng Zheng, Bowen Xing

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

<i>Aspects are Anchors: </i> Towards Multimodal Aspect-based Sentiment Analysis via Aspect-driven Alignment and Refinement.

Zhanpeng Chen, Zhihong Zhu, Wanshi Xu, Yunyan Zhang, Xian Wu, Yefeng Zheng

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation.

Zhihong Zhu, Xuxin Cheng, Yunyan Zhang, Zhaorun Chen, Qingqing Long, Hongxiang Li, Zhiqi Huang, Xian Wu, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing.

Zhihong Zhu, Xianwei Zhuang, Yunyan Zhang, Derong Xu, Guimin Hu, Xian Wu, Yefeng Zheng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds.

Jiageng Wu, Xian Wu, Jie Yang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach.

Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Improving Biomedical Entity Linking with Retrieval-Enhanced Learning.

Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng

Proceedings of the IEEE International Conference on Acoustics, 2024

DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection.

Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Shaorong Xie, Wei Liu, Xian Wu, Yefeng Zheng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Can LLMs Replace Clinical Doctors? Exploring Bias in Disease Diagnosis by Large Language Models.

Yutian Zhao, Huimin Wang, Yuqi Liu, Suhuang Wu, Xian Wu, Yefeng Zheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding.

Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics.

Zhihong Zhu, Yunyan Zhang, Xuxin Cheng, Zhiqi Huang, Derong Xu, Xian Wu, Yefeng Zheng

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis.

Yutian Zhao, Huimin Wang, Xian Wu, Yefeng Zheng

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Knowledge-aware Attention Network for Medication Effectiveness Prediction.

Yingying Zhang, Xian Wu, Yu Zhang, Yefeng Zheng

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.

Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Biomedical Entity Linking as Multiple Choice Question Answering.

Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning.

Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Bin Liang, Xian Wu, Yefeng Zheng, Kam-Fai Wong

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.

Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

imapScore: Medical Fact Evaluation Made Easy.

Huimin Wang, Yutian Zhao, Xian Wu, Yefeng Zheng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Pre-trained Online Contrastive Learning for Insurance Fraud Detection.

Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang

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

Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal.

Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng

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

2023

Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage.

Bo Liu, Donghuan Lu, Dong Wei, Xian Wu, Yan Wang, Yu Zhang, Yefeng Zheng

IEEE Trans. Medical Imaging, December, 2023

Contrastive Multi-Modal Knowledge Graph Representation Learning.

Quan Fang, Xiaowei Zhang, Jun Hu, Xian Wu, Changsheng Xu

IEEE Trans. Knowl. Data Eng., September, 2023

Radiology report generation with a learned knowledge base and multi-modal alignment.

Shuxin Yang, Xian Wu, Shen Ge, Zhuozhao Zheng, S. Kevin Zhou, Li Xiao

Medical Image Anal., May, 2023

Interaction-aware Drug Package Recommendation via Policy Gradient.

Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen

ACM Trans. Inf. Syst., January, 2023

Knowledge-Enhanced Attributed Multi-Task Learning for Medicine Recommendation.

Yingying Zhang, Xian Wu, Quan Fang, Shengsheng Qian, Changsheng Xu

ACM Trans. Inf. Syst., January, 2023

A medical multimodal large language model for future pandemics.

Fenglin Liu, Tingting Zhu, Xian Wu, Bang Yang, Chenyu You, Chenyang Wang, Lei Lu, Zhangdaihong Liu, Yefeng Zheng, Xu Sun, Yang Yang, Lei A. Clifton, David A. Clifton

npj Digit. Medicine, 2023

Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network.

Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

Nat. Comput. Sci., 2023

Large Language Models for Generative Information Extraction: A Survey.

Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Enhong Chen

CoRR, 2023

A Survey of Large Language Models in Medicine: Progress, Application, and Challenge.

Hongjian Zhou, Boyang Gu, Xinyu Zou, Yiru Li, Sam S. Chen, Peilin Zhou, Junling Liu, Yining Hua, Chengfeng Mao, Xian Wu, Zheng Li, Fenglin Liu

CoRR, 2023

MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications.

Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng

CoRR, 2023

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning.

Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Xian Wu, Yefeng Zheng, Kam-Fai Wong

CoRR, 2023

Qualifying Chinese Medical Licensing Examination with Knowledge Enhanced Generative Pre-training Model.

Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Yefeng Zheng, Jie Yang

CoRR, 2023

Exploring Social Media for Early Detection of Depression in COVID-19 Patients.

Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang

Proceedings of the ACM Web Conference 2023, 2023

Distributionally Robust Sequential Recommnedation.

Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Doctor Specific Tag Recommendation for Online Medical Record Management.

Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng

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

Relation-aware Ensemble Learning for Knowledge Graph Embedding.

Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

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

Dialogue Medical Information Extraction with Medical-Item Graph and Dialogue-Status Enriched Representation.

Lei Gao, Xinnan Zhang, Xian Wu, Shen Ge, Yefeng Zheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning.

Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Yong Zhang, Chunxiao Xing, Xian Wu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning.

Bang Yang, Fenglin Liu, Xian Wu, Yaowei Wang, Xu Sun, Yuexian Zou

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

2022

Graph Neural News Recommendation with User Existing and Potential Interest Modeling.

Zhaopeng Qiu, Yunfan Hu, Xian Wu

ACM Trans. Knowl. Discov. Data, 2022

DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention.

Fenglin Liu, Xian Wu, Shen Ge, Xuancheng Ren, Wei Fan, Xu Sun, Yuexian Zou

ACM Trans. Knowl. Discov. Data, 2022

Aligning Source Visual and Target Language Domains for Unpaired Video Captioning.

Fenglin Liu, Xian Wu, Chenyu You, Shen Ge, Yuexian Zou, Xu Sun

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Knowledge matters: Chest radiology report generation with general and specific knowledge.

Shuxin Yang, Xian Wu, Shen Ge, S. Kevin Zhou, Li Xiao

Medical Image Anal., 2022

Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning.

Fenglin Liu, Xuewei Ma, Xuancheng Ren, Xian Wu, Wei Fan, Yuexian Zou, Xu Sun

CoRR, 2022

Denoising Neural Network for News Recommendation with Positive and Negative Implicit Feedback.

Yunfan Hu, Zhaopeng Qiu, Xian Wu

CoRR, 2022

CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱.

Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Conditional Generation Net for Medication Recommendation.

Rui Wu, Zhaopeng Qiu, Jiacheng Jiang, Guilin Qi, Xian Wu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

AutoField: Automating Feature Selection in Deep Recommender Systems.

Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Aequitas: admission control for performance-critical RPCs in datacenters.

Yiwen Zhang, Gautam Kumar, Nandita Dukkipati, Xian Wu, Priyaranjan Jha, Mosharaf Chowdhury, Amin Vahdat

Proceedings of the SIGCOMM '22: ACM SIGCOMM 2022 Conference, Amsterdam, The Netherlands, August 22, 2022

Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions.

Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations.

Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

End-to-end Spoken Conversational Question Answering: Task, Dataset and Model.

Chenyu You, Nuo Chen, Fenglin Liu, Shen Ge, Xian Wu, Yuexian Zou

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

DDR: Dialogue Based Doctor Recommendation for Online Medical Service.

Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu, Enhong Chen, Xiangyu Zhao

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Graph-in-Graph Network for Automatic Gene Ontology Description Generation.

Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Adelaide Woicik, Sheng Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

AdaFS: Adaptive Feature Selection in Deep Recommender System.

Weilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu, Xian Wu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Joint Intent Detection and Slot Filling via Higher-order Attention.

Dongsheng Chen, Zhiqi Huang, Xian Wu, Shen Ge, Yuexian Zou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Contractible Regularization for Federated Learning on Non-IID Data.

Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng

Proceedings of the IEEE International Conference on Data Mining, 2022

DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis.

Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao

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

Multi-modal Contrastive Representation Learning for Entity Alignment.

Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, Yefeng Zheng

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

Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation.

Xinhang Li, Zhaopeng Qiu, Xiangyu Zhao, Zihao Wang, Yong Zhang, Chunxiao Xing, Xian Wu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment.

Shuxin Yang, Xian Wu, Shen Ge, Xingwang Wu, S. Kevin Zhou, Li Xiao

CoRR, 2021

Knowledge Matters: Radiology Report Generation with General and Specific Knowledge.

Shuxin Yang, Xian Wu, Shen Ge, Shaohua Kevin Zhou, Li Xiao

CoRR, 2021

Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model.

Zhiqi Huang, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou

CoRR, 2021

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation.

Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation.

Di You, Fenglin Liu, Shen Ge, Xiaoxia Xie, Jing Zhang, Xian Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Automatic Severity Rating for Improved Psoriasis Treatment.

Xian Wu, Yangtian Yan, Shuang Zhao, Yehong Kuang, Shen Ge, Kai Wang, Xiang Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

PD-Net: Quantitative Motor Function Evaluation for Parkinson's Disease via Automated Hand Gesture Analysis.

Yifei Chen, Haoyu Ma, Jiangyuan Wang, Jianbao Wu, Xian Wu, Xiaohui Xie

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation.

Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Contrastive Attention for Automatic Chest X-ray Report Generation.

Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning.

Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge, Xu Sun

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Competence-based Multimodal Curriculum Learning for Medical Report Generation.

Fenglin Liu, Shen Ge, Xian Wu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

U-BERT: Pre-training User Representations for Improved Recommendation.

Zhaopeng Qiu, Xian Wu, Jingyue Gao, Wei Fan

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

Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention.

Zhiqi Huang, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou

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

2020

Few-Shot Learning for New User Recommendation in Location-based Social Networks.

Ruirui Li, Xian Wu, Xiusi Chen, Wei Wang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks.

Ruirui Li, Xian Wu, Wei Wang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

MHM: Multi-modal Clinical Data based Hierarchical Multi-label Diagnosis Prediction.

Zhi Qiao, Zhen Zhang, Xian Wu, Shen Ge, Wei Fan

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Swift: Delay is Simple and Effective for Congestion Control in the Datacenter.

Gautam Kumar, Nandita Dukkipati, Keon Jang, Hassan M. G. Wassel, Xian Wu, Behnam Montazeri, Yaogong Wang, Kevin Springborn, Christopher Alfeld, Michael Ryan, David Wetherall, Amin Vahdat

Proceedings of the SIGCOMM '20: Proceedings of the 2020 Annual conference of the ACM Special Interest Group on Data Communication on the applications, 2020

Prophet Attention: Predicting Attention with Future Attention.

Fenglin Liu, Xuancheng Ren, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou, Xu Sun

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

Bridging the Gap between Vision and Language Domains for Improved Image Captioning.

Fenglin Liu, Xian Wu, Shen Ge, Xiaoyu Zhang, Wei Fan, Yuexian Zou

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training.

Ruirui Li, Jyun-Yu Jiang, Xian Wu, Chu-Cheng Hsieh, Andreas Stolcke

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Spectrally-Enforced Global Receptive Field For Contextual Medical Image Segmentation And Classification.

Yongzhi Li, Lu Chi, Guiyu Tian, Yadong Mu, Shen Ge, Zhi Qiao, Xian Wu, Wei Fan

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Automated Relational Meta-learning.

Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li

Proceedings of the 8th International Conference on Learning Representations, 2020

Bridging Mixture Density Networks with Meta-Learning for Automatic Speaker Identification.

Ruirui Li, Jyun-Yu Jiang, Xian Wu, Hongda Mao, Chu-Cheng Hsieh, Wei Wang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Automatic Distractor Generation for Multiple Choice Questions in Standard Tests.

Zhaopeng Qiu, Xian Wu, Wei Fan

Proceedings of the 28th International Conference on Computational Linguistics, 2020

On the Generation of Medical Question-Answer Pairs.

Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan

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

Federated Learning for Vision-and-Language Grounding Problems.

Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou

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

PSENet: Psoriasis Severity Evaluation Network.

Yi Li, Zhe Wu, Shuang Zhao, Xian Wu, Yehong Kuang, Yangtian Yan, Shen Ge, Kai Wang, Wei Fan, Xiang Chen, Yong Wang

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

2019

The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images.

Xinyu Zhao, Xian Wu, Fangfang Li, Yi Li, Weihong Huang, Kai Huang, Xiaoyu He, Wei Fan, Zhe Wu, Mingliang Chen, Jie Li, Zhong-ling Luo, Juan Su, Bin Xie, Shuang Zhao

J. Medical Syst., 2019

Studies on Different CNN Algorithms for Face Skin Disease Classification Based on Clinical Images.

Zhe Wu, Shuang Zhao, Yonghong Peng, Xiaoyu He, Xinyu Zhao, Kai Huang, Xian Wu, Wei Fan, Fangfang Li, Mingliang Chen, Jie Li, Weihong Huang, Xiang Chen, Yi Li

IEEE Access, 2019

Click Feedback-Aware Query Recommendation Using Adversarial Examples.

Ruirui Li, Liangda Li, Xian Wu, Yunhong Zhou, Wei Wang

Proceedings of the World Wide Web Conference, 2019

MNN: Multimodal Attentional Neural Networks for Diagnosis Prediction.

Zhi Qiao, Xian Wu, Shen Ge, Wei Fan

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

Question Difficulty Prediction for Multiple Choice Problems in Medical Exams.

Zhaopeng Qiu, Xian Wu, Wei Fan

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-grained Named Entity Recognition.

Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2016

Measuring Metrics.

Pavel A. Dmitriev, Xian Wu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Iterative sampling based frequent itemset mining for big data.

Xian Wu, Wei Fan, Jing Peng, Kun Zhang, Yong Yu

Int. J. Mach. Learn. Cybern., 2015

Detecting Marionette Microblog Users for Improved Information Credibility.

Xian Wu, Wei Fan, Jing Gao, Ziming Feng, Yong Yu

J. Comput. Sci. Technol., 2015

2014

Adaptive subspace learning: an iterative approach for document clustering.

Xian Wu, Xiaoming Chen, Xiang Li, Lingli Zhou, Jian-Huang Lai

Neural Comput. Appl., 2014

2013

Aggregation-Based Probing for Large-Scale Duplicate Image Detection.

Ziming Feng, Jia Chen, Xian Wu, Yong Yu

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012

A framework to represent and mine knowledge evolution from Wikipedia revisions.

Xian Wu, Wei Fan, Meilun Sheng, Li Zhang, Xiaoxiao Shi, Zhong Su, Yong Yu

Proceedings of the 21st World Wide Web Conference, 2012

Sembler: Ensembling Crowd Sequential Labeling for Improved Quality.

Xian Wu, Wei Fan, Yong Yu

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Rank-1 Tensor Projection via Regularized Regression for Action Classification.

Xian Wu, Jian-Huang Lai, Xilin Chen

Int. J. Wavelets Multiresolution Inf. Process., 2011

ShareBoost: Boosting for Multi-view Learning with Performance Guarantees.

Jing Peng, Costin Barbu, Guna Seetharaman, Wei Fan, Xian Wu, Kannappan Palaniappan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Class-driven correlation learning for chinese document categorization using discriminative features.

Xian Wu, Lingli Zhou, Xiang Li, Jian-Huang Lai

Proceedings of the ICIMCS 2011, 2011

Patent Maintenance Recommendation with Patent Information Network Model.

Xin Jin, W. Scott Spangler, Ying Chen, Keke Cai, Rui Ma, Li Zhang, Xian Wu, Jiawei Han

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Analyzing and Predicting Not-Answered Questions in Community-based Question Answering Services.

Lichun Yang, Shenghua Bao, Qingliang Lin, Xian Wu, Dingyi Han, Zhong Su, Yong Yu

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Video-Shot Transition Detection: a Spatio-Temporal Saliency Approach.

Xian Wu, Jian-Huang Lai, Pong Chi Yuen

Int. J. Pattern Recognit. Artif. Intell., 2010

EagleEye: Entity-centric business intelligence for smarter decisions.

Li Zhang, Shenghua Bao, Honglei Guo, Huijia Zhu, Xiaoxun Zhang, Keke Cai, Ben Fei, Xian Wu, Zhenyu Guo, Zhong Su

IBM J. Res. Dev., 2010

Efficient human action detection: a coarse-to-fine strategy.

Xian Wu, Jian-Huang Lai, Xilin Chen

Proceedings of the International Conference on Image Processing, 2010

2009

A Framework of Face Tracking with Classification Using CAMShift-C and LBP.

Xian Wu, Lihong Li, Jian-Huang Lai, Jian Huang

Proceedings of the Fifth International Conference on Image and Graphics, 2009

SIMPLE: A Strategic Information Mining Platform for Licensing and Execution.

Ying Chen, W. Scott Spangler, Jeffrey T. Kreulen, Stephen Boyer, Thomas D. Griffin, Alfredo Alba, Amit Behal, Bin He, Linda Kato, Ana Lelescu, Cheryl A. Kieliszewski, Xian Wu, Li Zhang

Proceedings of the ICDM Workshops 2009, 2009

sDoc: exploring social wisdom for document enhancement in web mining.

Xiaoxun Zhang, Lichun Yang, Xian Wu, Honglei Guo, Zhili Guo, Shenghua Bao, Yong Yu, Zhong Su

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Floatcascade learning for fast imbalanced web mining.

Xiaoxun Zhang, Xueying Wang, Honglei Guo, Zhili Guo, Xian Wu, Zhong Su

Proceedings of the 17th International Conference on World Wide Web, 2008

Hidden sentiment association in chinese web opinion mining.

Qi Su, Xinying Xu, Honglei Guo, Zhili Guo, Xian Wu, Xiaoxun Zhang, Bin Swen, Zhong Su

Proceedings of the 17th International Conference on World Wide Web, 2008

Enriching WordNet with Folksonomies.

Hao Zheng, Xian Wu, Yong Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

2007

An Unsupervised Model for Exploring Hierarchical Semantics from Social Annotations.

Mianwei Zhou, Shenghua Bao, Xian Wu, Yong Yu

Proceedings of the Semantic Web, 2007

2006

Emergent Semantics from Folksonomies: A Quantitative Study.

Lei Zhang, Xian Wu, Yong Yu

J. Data Semant., 2006

Exploring social annotations for the semantic web.

Xian Wu, Lei Zhang, Yong Yu

Proceedings of the 15th international conference on World Wide Web, 2006