Can Xu

According to our database, Can Xu authored at least 136 papers between 2005 and 2024.

Collaborative distances:

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

2024

On two conjectures concerning spanning tree edge dependences of graphs.

Yujun Yang, Can Xu

Discret. Appl. Math., February, 2024

Two-Dimensional Following Lane-Changing (2DF-LC): A Framework for Dynamic Decision-Making and Rapid Behavior Planning.

Xingyu Chen, Weihua Zhang, Haijian Bai, Can Xu, Heng Ding, Wenjuan Huang

IEEE Trans. Intell. Veh., January, 2024

A Survey on Knowledge Distillation of Large Language Models.

Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, Tianyi Zhou

CoRR, 2024

Diffusion-based graph generative methods.

Hongyang Chen, Can Xu, Lingyu Zheng, Qiang Zhang, Xuemin Lin

CoRR, 2024

Leveraging Large Language Models for NLG Evaluation: A Survey.

Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Chongyang Tao

CoRR, 2024

Fine-Grained Distillation for Long Document Retrieval.

Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang

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

Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation.

Can Xu, Haosen Wang, Weigang Wang, Pengfei Zheng, Hongyang Chen

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

2023

Eco-Friendly On-Ramp Merging Strategy for Connected and Automated Vehicles in Heterogeneous Traffic.

Jinqiang Liu, Wanzhong Zhao, Chunyan Wang, Can Xu, Lin Li, Qingyun Chen, Yubo Lian

IEEE Trans. Veh. Technol., November, 2023

A fairness-aware graph contrastive learning recommender framework for social tagging systems.

Can Xu, Yin Zhang, Hongyang Chen, Ligang Dong, Weigang Wang

Inf. Sci., September, 2023

Weakly Supervised Forest Fire Segmentation in UAV Imagery Based on Foreground-Aware Pooling and Context-Aware Loss.

Junling Wang, Yupeng Wang, Liping Liu, Hengfu Yin, Ning Ye, Can Xu

Remote. Sens., July, 2023

Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data.

Tianbao Huang, Guanglong Ou, Yong Wu, Xiaoli Zhang, Zihao Liu, Hui Xu, Xiongwei Xu, Zhenghui Wang, Can Xu

Remote. Sens., July, 2023

Corrigendum to "Generative detect for occlusion object based on occlusion generation and feature completing" [J. Visual Commun. Image Represent. 78 (2021) 103189].

Can Xu, Wenxi Lang, Rui Xin, Kaichen Mao, Haiyan Jiang

J. Vis. Commun. Image Represent., May, 2023

Driving Behavior Modeling and Characteristic Learning for Human-like Decision-Making in Highway.

Can Xu, Wanzhong Zhao, Chunyan Wang, Taowen Cui, Chen Lv

IEEE Trans. Intell. Veh., February, 2023

Graph-based discriminative features learning for fine-grained image retrieval.

Han Sun, Wenxi Lang, Can Xu, Ningzhong Liu, Huiyu Zhou

Signal Process. Image Commun., 2023

Auditory Models for Formant Frequency Discrimination of Vowel Sounds.

Can Xu, Chang Liu

Inf., 2023

WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation.

Zhaojian Yu, Xin Zhang, Ning Shang, Yangyu Huang, Can Xu, Yishujie Zhao, Wenxiang Hu, Qiufeng Yin

CoRR, 2023

Re-Reading Improves Reasoning in Language Models.

Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jianguang Lou

CoRR, 2023

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang

CoRR, 2023

WizardCoder: Empowering Code Large Language Models with Evol-Instruct.

Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

CoRR, 2023

Knowledge Refinement via Interaction Between Search Engines and Large Language Models.

Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang

CoRR, 2023

Augmented Large Language Models with Parametric Knowledge Guiding.

Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

CoRR, 2023

Self-Supervised Multi-Modal Sequential Recommendation.

Kunzhe Song, Qingfeng Sun, Can Xu, Kai Zheng, Yaming Yang

CoRR, 2023

WizardLM: Empowering Large Language Models to Follow Complex Instructions.

Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Daxin Jiang

CoRR, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval.

Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen Lin, Daxin Jiang

CoRR, 2023

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval.

Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang

Proceedings of the ACM Web Conference 2023, 2023

Latent User Intent Modeling for Sequential Recommenders.

Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

UnifieR: A Unified Retriever for Large-Scale Retrieval.

Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang

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

HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization.

Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP.

Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval.

Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval.

Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning.

Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Iterative Proposal Refinement for Weakly-Supervised Video Grounding.

Meng Cao, Fangyun Wei, Can Xu, Xiubo Geng, Long Chen, Can Zhang, Yuexian Zou, Tao Shen, Daxin Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Robust Ranker for Text Retrieval.

Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang

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

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation.

Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin

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

2022

An Integrated Decision-Making Framework for Highway Autonomous Driving Using Combined Learning and Rule-Based Algorithm.

Can Xu, Wanzhong Zhao, Jinqiang Liu, Chunyan Wang, Chen Lv

IEEE Trans. Veh. Technol., 2022

Driving Authority Allocation Strategy Based on Driving Authority Real-Time Allocation Domain.

Ziyu Zhang, Chunyan Wang, Wanzhong Zhao, Can Xu, Guoping Chen

IEEE Trans. Intell. Transp. Syst., 2022

An Efficient On-Ramp Merging Strategy for Connected and Automated Vehicles in Multi-Lane Traffic.

Jinqiang Liu, Wanzhong Zhao, Can Xu

IEEE Trans. Intell. Transp. Syst., 2022

Active Collision Avoidance Strategy Considering Motion Uncertainty of the pedestrian.

Jian Feng, Chunyan Wang, Can Xu, Dengming Kuang, Wanzhong Zhao

IEEE Trans. Intell. Transp. Syst., 2022

Prediction of the Nitrogen, Phosphorus and Potassium Contents in Grape Leaves at Different Growth Stages Based on UAV Multispectral Remote Sensing.

Xuelian Peng, Dianyu Chen, Zhenjiang Zhou, Zhitao Zhang, Can Xu, Qing Zha, Fang Wang, Xiaotao Hu

Remote. Sens., 2022

A Zoning Earthquake Casualty Prediction Model Based on Machine Learning.

Boyi Li, Adu Gong, Tingting Zeng, Wenxuan Bao, Can Xu, Zhiqing Huang

Remote. Sens., 2022

Discriminative feature mining hashing for fine-grained image retrieval.

Wenxi Lang, Han Sun, Can Xu, Ningzhong Liu, Huiyu Zhou

J. Vis. Commun. Image Represent., 2022

Fine-Grained Distillation for Long Document Retrieval.

Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Guodong Long, Can Xu, Daxin Jiang

CoRR, 2022

Adam: Dense Retrieval Distillation with Adaptive Dark Examples.

Chang Liu, Chongyang Tao, Xiubo Geng, Tao Shen, Dongyan Zhao, Can Xu, Binxing Jiao, Daxin Jiang

CoRR, 2022

Reward Shaping for User Satisfaction in a REINFORCE Recommender.

Konstantina Christakopoulou, Can Xu, Sai Zhang, Sriraj Badam, Trevor Potter, Daniel Li, Hao Wan, Xinyang Yi, Ya Le, Chris Berg, Eric Bencomo Dixon, Ed H. Chi, Minmin Chen

CoRR, 2022

LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation.

Yin Zhang, Can Xu, XianJun Wu, Yan Zhang, Ligang Dong, Weigang Wang

CoRR, 2022

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP.

Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang

CoRR, 2022

UnifieR: A Unified Retriever for Large-Scale Retrieval.

Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Kai Zhang, Daxin Jiang

CoRR, 2022

Recency Dropout for Recurrent Recommender Systems.

Bo Chang, Can Xu, Matthieu Lê, Jingchen Feng, Ya Le, Sriraj Badam, Ed H. Chi, Minmin Chen

CoRR, 2022

Exact dynamics of phase transitions in oscillator populations with nonlinear coupling.

Zongkai Cai, Zhigang Zheng, Can Xu

Commun. Nonlinear Sci. Numer. Simul., 2022

Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training.

Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Off-Policy Actor-critic for Recommender Systems.

Minmin Chen, Can Xu, Vince Gatto, Devanshu Jain, Aviral Kumar, Ed H. Chi

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting.

Qingfeng Sun, Can Xu, Huang Hu, Yujing Wang, Jian Miao, Xiubo Geng, Yining Chen, Fei Xu, Daxin Jiang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Surrogate for Long-Term User Experience in Recommender Systems.

Yuyan Wang, Mohit Sharma, Can Xu, Sriraj Badam, Qian Sun, Lee Richardson, Lisa Chung, Ed H. Chi, Minmin Chen

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

Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning.

Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang

Proceedings of the Interspeech 2022, 2022

RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models.

Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings.

Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge.

Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang

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

Multimodal Dialogue Response Generation.

Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations.

Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks.

Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Decision-Making and Planning Method for Autonomous Vehicles Based on Motivation and Risk Assessment.

Yisong Wang, Chunyan Wang, Wanzhong Zhao, Can Xu

IEEE Trans. Veh. Technol., 2021

Lane-Change Intention Inference Based on RNN for Autonomous Driving on Highways.

Lin Li, Wanzhong Zhao, Can Xu, Chunyan Wang, Qingyun Chen, Shijuan Dai

IEEE Trans. Veh. Technol., 2021

An Improved IOHMM-Based Stochastic Driver Lane-Changing Model.

Qingyun Chen, Wanzhong Zhao, Can Xu, Chunyan Wang, Lin Li, Shijuan Dai

IEEE Trans. Hum. Mach. Syst., 2021

Generative detect for occlusion object based on occlusion generation and feature completing.

Can Xu, Peter W. T. Yuen, Wenxi Lang, Rui Xin, Kaichen Mao, Haiyan Jiang

J. Vis. Commun. Image Represent., 2021

Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph.

Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang

CoRR, 2021

Influence of Indirect Solar Irradiance on Satellite Observation.

Xia Wang, Can Xu, Yurong Huo, Ying Wan, Yang Liu, Jingyu Fu

IEEE Access, 2021

A Deformation Robust ISAR Image Satellite Target Recognition Method Based on PT-CCNN.

Wang Lu, Yasheng Zhang, Canbin Yin, Caiyong Lin, Can Xu, Xin Zhang

IEEE Access, 2021

User Response Models to Improve a REINFORCE Recommender System.

Minmin Chen, Bo Chang, Can Xu, Ed H. Chi

Proceedings of the WSDM '21, 2021

Values of User Exploration in Recommender Systems.

Minmin Chen, Yuyan Wang, Can Xu, Ya Le, Mohit Sharma, Lee Richardson, Su-Lin Wu, Ed H. Chi

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation.

Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang

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

Learning Neural Templates for Recommender Dialogue System.

Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning to Ground Visual Objects for Visual Dialog.

Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Research and Experiment on Key Technology of Water-Fertilizer Integration Intelligent Equipment.

Nihong Liu, Can Xu, Bijuan Chen, Zheng Xiong, Huiling Li, Guilian Li

Proceedings of the 6th International Conference on Automation, 2021

Learning Matching Representations for Individualized Organ Transplantation Allocation.

Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation.

Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan

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

Maria: A Visual Experience Powered Conversational Agent.

Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang

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

MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding.

Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang

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

Open Domain Dialogue Generation with Latent Images.

Ze Yang, Wei Wu, Huang Hu, Can Xu, Wei Wang, Zhoujun Li

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

2020

A Nash Q-Learning Based Motion Decision Algorithm With Considering Interaction to Traffic Participants.

Can Xu, Wanzhong Zhao, Lin Li, Qingyun Chen, Dengming Kuang, Jianhao Zhou

IEEE Trans. Veh. Technol., 2020

An Integrated Threat Assessment Algorithm for Decision-Making of Autonomous Driving Vehicles.

Can Xu, Wanzhong Zhao, Chunyan Wang

IEEE Trans. Intell. Transp. Syst., 2020

Are Pre-trained Language Models Knowledgeable to Ground Open Domain Dialogues?

Yufan Zhao, Wei Wu, Can Xu

CoRR, 2020

Open Domain Dialogue Generation with Latent Images.

Ze Yang, Wei Wu, Huang Hu, Can Xu, Zhoujun Li

CoRR, 2020

MHW-PD: A robust rice panicles counting algorithm based on deep learning and multi-scale hybrid window.

Can Xu, Haiyan Jiang, Peter W. T. Yuen, Khan Zaki Ahmad, Yao Chen

Comput. Electron. Agric., 2020

Combined Vector Based on Factorized Time-delay Neural Network for Text-Independent Speaker Recognition.

Tianyu Liang, Yi Liu, Can Xu, Xianwei Zhang, Liang He

Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Zero-Resource Knowledge-Grounded Dialogue Generation.

Linxiao Li, Can Xu, Wei Wu, Yufan Zhao, Xueliang Zhao, Chongyang Tao

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

An Automatic Analysis Tool Based on Computational Thinking for BlockPy Programs.

Can Xu, Zhiyong Feng, Peng Qi, Yan Sun

Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

THUEE System for NIST SRE19 CTS Challenge.

Ruyun Li, Tianyu Liang, Dandan Song, Yi Liu, Yangcheng Wu, Can Xu, Peng Ouyang, Xianwei Zhang, Xianhong Chen, Weiqiang Zhang, Shouyi Yin, Liang He

Proceedings of the Interspeech 2020, 2020

Low-Resource Knowledge-Grounded Dialogue Generation.

Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, Rui Yan

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

Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks.

Yufan Zhao, Can Xu, Wei Wu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Knowledge-Grounded Dialogue Generation with Pre-trained Language Models.

Xueliang Zhao, Wei Wu, Can Xu, Chongyang Tao, Dongyan Zhao, Rui Yan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

StyleDGPT: Stylized Response Generation with Pre-trained Language Models.

Ze Yang, Wei Wu, Can Xu, Xinnian Liang, Jiaqi Bai, Liran Wang, Wei Wang, Zhoujun Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Design and testing of automated tube-based hydroponic system.

Nihong Liu, Zheng Xiong, Can Xu, Yufa Wu, Huiling Li, Xianping Jiang, Junfeng Cheng

Proceedings of the 5th International Conference on Automation, 2020

2019

Distance-Dependent Metric Learning.

Xianhong Chen, Liang He, Can Xu, Jia Liu

IEEE Signal Process. Lett., 2019

A Deep Learning-Based Satellite Target Recognition Method Using Radar Data.

Wang Lu, Yasheng Zhang, Can Xu, Caiyong Lin, Yurong Huo

Sensors, 2019

Automatic social signal analysis: Facial expression recognition using difference convolution neural network.

Jingying Chen, Yongqiang Lv, Ruyi Xu, Can Xu

J. Parallel Distributed Comput., 2019

Latent class model with application to speaker diarization.

Liang He, Xianhong Chen, Can Xu, Yi Liu, Jia Liu, Michael T. Johnson

EURASIP J. Audio Speech Music. Process., 2019

THUEE system description for NIST 2019 SRE CTS Challenge.

Yi Liu, Tianyu Liang, Can Xu, Xianwei Zhang, Xianhong Chen, Wei-Qiang Zhang, Liang He, Dandan Song, Ruyun Li, Yangcheng Wu, Peng Ouyang, Shouyi Yin

CoRR, 2019

A Sequential Matching Framework for Multi-Turn Response Selection in Retrieval-Based Chatbots.

Yu Wu, Wei Wu, Chen Xing, Can Xu, Zhoujun Li, Ming Zhou

Comput. Linguistics, 2019

Towards Neural Mixture Recommender for Long Range Dependent User Sequences.

Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi

Proceedings of the World Wide Web Conference, 2019

Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots.

Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots.

Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan

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

A Course Scheduling Algorithm in Secondary Vocational School Based on Genetic Algorithm.

Mengyuan Ba, Yingying Hu, Can Xu, Yi Zhong

Proceedings of the 6th International Conference on Systems and Informatics, 2019

Multi-objective Optimization Training of PLDA for Speaker Verification.

Liang He, Xianhong Chen, Can Xu, Jia Liu

Proceedings of the IEEE International Conference on Acoustics, 2019

Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation.

Ze Yang, Can Xu, Wei Wu, Zhoujun Li

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Low-Resource Response Generation with Template Prior.

Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Sentiment Analysis of Home Appliance Comment Based on Generative Probabilistic Model.

Cao Shi, Ye Tao, Can Xu, Xiaodong Wang, Yanzhe Wang, Zihao Wang

Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Geometric Discriminant Analysis for I-vector Based Speaker Verification.

Can Xu, Xianhong Chen, Liang He, Jia Liu

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Subtraction-Positive Similarity Learning.

Liang He, Xianhong Chen, Can Xu, Jia Liu

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Neural Response Generation with Meta-words.

Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, Ying Wang

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

One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues.

Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan

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

2018

Local Pairwise Linear Discriminant Analysis for Speaker Verification.

Liang He, Xianhong Chen, Can Xu, Jia Liu, Michael T. Johnson

IEEE Signal Process. Lett., 2018

Multiobjective Optimization Training of PLDA for Speaker Verification.

Liang He, Xianhong Chen, Can Xu, Jia Liu

CoRR, 2018

Improving Matching Models with Contextualized Word Representations for Multi-turn Response Selection in Retrieval-based Chatbots.

Chongyang Tao, Wei Wu, Can Xu, Yansong Feng, Dongyan Zhao, Rui Yan

CoRR, 2018

Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts.

Can Xu, Wei Wu, Yu Wu

CoRR, 2018

Latent Cross: Making Use of Context in Recurrent Recommender Systems.

Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, Ed H. Chi

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Semi-supervised Learning of Deep Difference Features for Facial Expression Recognition.

Can Xu, Ruyi Xu, Jingying Chen, Leyuan Liu

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

VB-HMM Speaker Diarization with Enhanced and Refined Segment Representation.

Xianhong Chen, Liang He, Can Xu, Yi Liu, Tianyu Liang, Jia Liu

Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018

Latent Class Model for Single Channel Speaker Diarization.

Liang He, Xianhong Chen, Can Xu, Jia Liu

Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018

Parallel Double Audio Fingerprinting.

Tianyu Liang, Xianhong Chen, Can Xu, Liang He

Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

Feature Extraction of Space Targets via Variational Mode Decomposition.

Yangjun Xie, Zhi Li, Can Xu

Proceedings of the IEEE International Conference on Information and Automation, 2018

Playing 20 Question Game with Policy-Based Reinforcement Learning.

Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu, Zhan Chen

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Response Generation With Dynamic Vocabularies.

Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Knowledge Enhanced Hybrid Neural Network for Text Matching.

Yu Wu, Wei Wu, Can Xu, Zhoujun Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Neural Response Generation with Dynamic Vocabularies.

Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li, Ming Zhou

CoRR, 2017

Ivec-PLDA-AHC priors for VB-HMM speaker diarization system.

Liang He, Xianhong Chen, Can Xu, Tianyu Liang, Jia Liu

Proceedings of the 2017 IEEE International Workshop on Signal Processing Systems, 2017

Beihang at the NTCIR-13 STC-2 Task.

Dejian Yang, Yu Wu, Zhoujun Li, Wei Wu, Can Xu

Proceedings of the 13th NTCIR Conference, 2017

Extended conjugate polar fourier transforminconvolution network.

Can Xu, Wenrui Dai, Hongkai Xiong

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Probability assessments of identified parameters for stochastic structures using point estimation method.

Jie Liu, Yifeng Hu, Can Xu, Chao Jiang, Xu Han

Reliab. Eng. Syst. Saf., 2016

Large Margin Discriminant Dimensionality Reduction in Prediction Space.

Mohammad J. Saberian, José Costa Pereira, Nuno Vasconcelos, Can Xu

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Kernelized learning in deep scattering convolution networks.

Yuehan Xiong, Can Xu, Hongkai Xiong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Revertible deep convolutional networks with iterated directional filter bank.

Can Xu, Hongkai Xiong

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2014

Visual Sentiment Prediction with Deep Convolutional Neural Networks.

Can Xu, Suleyman Cetintas, Kuang-Chih Lee, Li-Jia Li

CoRR, 2014

Learning Receptive Fields for Pooling from Tensors of Feature Response.

Can Xu, Nuno Vasconcelos

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

A Study on Online Decision Model for Information Technology Adoption.

Xiaoyi Lan, Bing Su, Can Xu

Proceedings of the 12th Wuhan International Conference on E-Business, 2013

2005

Magic number silicon dioxide-based clusters: Laser ablation-mass spectrometric and density functional theory studies.

Qingyu Kong, Li Zhao, Wenning Wang, Chen Wang, Can Xu, Wingham Zhang, Lei Liu, Kangnian Fan, Yufen Li, Jun Zhuang

J. Comput. Chem., 2005