Can Xu

Orcid: 0000-0002-7354-9374

According to our database1, Can Xu authored at least 163 papers between 2005 and 2025.

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Bibliography

2025
Graph-in-graph discriminative feature enhancement network for fine-grained visual classification.
Appl. Intell., January, 2025

2024
Diffusion-Based Graph Generative Methods.
IEEE Trans. Knowl. Data Eng., December, 2024

Computer vision-driven forest wildfire and smoke recognition via IoT drone cameras.
Wirel. Networks, November, 2024

Learning Local Semantic Region Activations for Weakly Supervised Object Localization.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

A Space Object Optical Scattering Characteristics Analysis Model Based on Augmented Implicit Neural Representation.
Remote. Sens., September, 2024

A Novel Joint Motion Compensation Algorithm for ISAR Imaging Based on Entropy Minimization.
Sensors, July, 2024

Star Suppression Based on Structure of Star Groups for Geosynchronous Object Detection Using Wide-Field Telescopes.
IEEE Trans. Aerosp. Electron. Syst., June, 2024

On two conjectures concerning spanning tree edge dependences of graphs.
Discret. Appl. Math., February, 2024

Two-Dimensional Following Lane-Changing (2DF-LC): A Framework for Dynamic Decision-Making and Rapid Behavior Planning.
IEEE Trans. Intell. Veh., January, 2024

Deep Learning Model Construction of Urban Planning Image Data Processing and Health Intelligence System.
Scalable Comput. Pract. Exp., 2024

Aboveground biomass inversion of forestland in a Jinsha River dry-hot valley by integrating high and medium spatial resolution optical images: A case study on Yuanmou County of Southwest China.
Ecol. Informatics, 2024

Cross-composition Feature Disentanglement for Compositional Zero-shot Learning.
CoRR, 2024

AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation.
CoRR, 2024

Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena.
CoRR, 2024

Improving Graph Out-of-distribution Generalization on Real-world Data.
CoRR, 2024

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.
CoRR, 2024

A Survey on Knowledge Distillation of Large Language Models.
CoRR, 2024

Leveraging Large Language Models for NLG Evaluation: A Survey.
CoRR, 2024

Adversarially attack feature similarity for fine-grained visual classification.
Appl. Soft Comput., 2024

Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

WizardCoder: Empowering Code Large Language Models with Evol-Instruct.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Training-free Multi-objective Diffusion Model for 3D Molecule Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Automatic Instruction Evolving for Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Re-Reading Improves Reasoning in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Leveraging Large Language Models for NLG Evaluation: Advances and Challenges.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Attribute Interactions Matter for 3D Visual Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Detection of Venous Thromboembolism Using Recurrent Neural Networks with Time-Series Data.
Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning, 2024

WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ADAM: Dense Retrieval Distillation with Adaptive Dark Examples.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Synergistic Interplay between Search and Large Language Models for Information Retrieval.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Fine-Grained Distillation for Long Document Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation.
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.
IEEE Trans. Veh. Technol., November, 2023

A fairness-aware graph contrastive learning recommender framework for social tagging systems.
Inf. Sci., September, 2023

Weakly Supervised Forest Fire Segmentation in UAV Imagery Based on Foreground-Aware Pooling and Context-Aware Loss.
Remote. Sens., July, 2023

Estimating the Aboveground Biomass of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data.
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].
J. Vis. Commun. Image Represent., May, 2023

Driving Behavior Modeling and Characteristic Learning for Human-like Decision-Making in Highway.
IEEE Trans. Intell. Veh., February, 2023

Graph-based discriminative features learning for fine-grained image retrieval.
Signal Process. Image Commun., 2023

Auditory Models for Formant Frequency Discrimination of Vowel Sounds.
Inf., 2023

WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation.
CoRR, 2023

Re-Reading Improves Reasoning in Language Models.
CoRR, 2023

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.
CoRR, 2023

Knowledge Refinement via Interaction Between Search Engines and Large Language Models.
CoRR, 2023

Augmented Large Language Models with Parametric Knowledge Guiding.
CoRR, 2023

Self-Supervised Multi-Modal Sequential Recommendation.
CoRR, 2023

WizardLM: Empowering Large Language Models to Follow Complex Instructions.
CoRR, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval.
CoRR, 2023

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval.
Proceedings of the ACM Web Conference 2023, 2023

Latent User Intent Modeling for Sequential Recommenders.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

UnifieR: A Unified Retriever for Large-Scale Retrieval.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Robust Ranker for Text Retrieval.
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.
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.
IEEE Trans. Veh. Technol., 2022

Driving Authority Allocation Strategy Based on Driving Authority Real-Time Allocation Domain.
IEEE Trans. Intell. Transp. Syst., 2022

An Efficient On-Ramp Merging Strategy for Connected and Automated Vehicles in Multi-Lane Traffic.
IEEE Trans. Intell. Transp. Syst., 2022

Active Collision Avoidance Strategy Considering Motion Uncertainty of the pedestrian.
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.
Remote. Sens., 2022

A Zoning Earthquake Casualty Prediction Model Based on Machine Learning.
Remote. Sens., 2022

Discriminative feature mining hashing for fine-grained image retrieval.
J. Vis. Commun. Image Represent., 2022

Fine-Grained Distillation for Long Document Retrieval.
CoRR, 2022

Adam: Dense Retrieval Distillation with Adaptive Dark Examples.
CoRR, 2022

Reward Shaping for User Satisfaction in a REINFORCE Recommender.
CoRR, 2022

LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation.
CoRR, 2022

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP.
CoRR, 2022

UnifieR: A Unified Retriever for Large-Scale Retrieval.
CoRR, 2022

Recency Dropout for Recurrent Recommender Systems.
CoRR, 2022

Exact dynamics of phase transitions in oscillator populations with nonlinear coupling.
Commun. Nonlinear Sci. Numer. Simul., 2022

Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training.
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.
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.
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.
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.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Multimodal Dialogue Response Generation.
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.
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.
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.
IEEE Trans. Veh. Technol., 2021

Lane-Change Intention Inference Based on RNN for Autonomous Driving on Highways.
IEEE Trans. Veh. Technol., 2021

An Improved IOHMM-Based Stochastic Driver Lane-Changing Model.
IEEE Trans. Hum. Mach. Syst., 2021

Generative detect for occlusion object based on occlusion generation and feature completing.
J. Vis. Commun. Image Represent., 2021

Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph.
CoRR, 2021

Influence of Indirect Solar Irradiance on Satellite Observation.
IEEE Access, 2021

A Deformation Robust ISAR Image Satellite Target Recognition Method Based on PT-CCNN.
IEEE Access, 2021

User Response Models to Improve a REINFORCE Recommender System.
Proceedings of the WSDM '21, 2021

Values of User Exploration in Recommender Systems.
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.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning to Ground Visual Objects for Visual Dialog.
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.
Proceedings of the 6th International Conference on Automation, 2021

Learning Matching Representations for Individualized Organ Transplantation Allocation.
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.
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.
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.
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.
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.
IEEE Trans. Veh. Technol., 2020

An Integrated Threat Assessment Algorithm for Decision-Making of Autonomous Driving Vehicles.
IEEE Trans. Intell. Transp. Syst., 2020

Are Pre-trained Language Models Knowledgeable to Ground Open Domain Dialogues?
CoRR, 2020

Open Domain Dialogue Generation with Latent Images.
CoRR, 2020

MHW-PD: A robust rice panicles counting algorithm based on deep learning and multi-scale hybrid window.
Comput. Electron. Agric., 2020

Combined Vector Based on Factorized Time-delay Neural Network for Text-Independent Speaker Recognition.
Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Zero-Resource Knowledge-Grounded Dialogue Generation.
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.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

THUEE System for NIST SRE19 CTS Challenge.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Low-Resource Knowledge-Grounded Dialogue Generation.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Knowledge-Grounded Dialogue Generation with Pre-trained Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

StyleDGPT: Stylized Response Generation with Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Design and testing of automated tube-based hydroponic system.
Proceedings of the 5th International Conference on Automation, 2020

2019
Distance-Dependent Metric Learning.
IEEE Signal Process. Lett., 2019

A Deep Learning-Based Satellite Target Recognition Method Using Radar Data.
Sensors, 2019

Automatic social signal analysis: Facial expression recognition using difference convolution neural network.
J. Parallel Distributed Comput., 2019

Latent class model with application to speaker diarization.
EURASIP J. Audio Speech Music. Process., 2019

THUEE system description for NIST 2019 SRE CTS Challenge.
CoRR, 2019

A Sequential Matching Framework for Multi-Turn Response Selection in Retrieval-Based Chatbots.
Comput. Linguistics, 2019

Towards Neural Mixture Recommender for Long Range Dependent User Sequences.
Proceedings of the World Wide Web Conference, 2019

Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots.
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.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Course Scheduling Algorithm in Secondary Vocational School Based on Genetic Algorithm.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

Multi-objective Optimization Training of PLDA for Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2019

Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation.
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.
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.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Geometric Discriminant Analysis for I-vector Based Speaker Verification.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Subtraction-Positive Similarity Learning.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019

Neural Response Generation with Meta-words.
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.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Local Pairwise Linear Discriminant Analysis for Speaker Verification.
IEEE Signal Process. Lett., 2018

Multiobjective Optimization Training of PLDA for Speaker Verification.
CoRR, 2018

Improving Matching Models with Contextualized Word Representations for Multi-turn Response Selection in Retrieval-based Chatbots.
CoRR, 2018

Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts.
CoRR, 2018

Latent Cross: Making Use of Context in Recurrent Recommender Systems.
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.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

VB-HMM Speaker Diarization with Enhanced and Refined Segment Representation.
Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018

Latent Class Model for Single Channel Speaker Diarization.
Proceedings of the Odyssey 2018: The Speaker and Language Recognition Workshop, 2018

Parallel Double Audio Fingerprinting.
Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

Feature Extraction of Space Targets via Variational Mode Decomposition.
Proceedings of the IEEE International Conference on Information and Automation, 2018

Playing 20 Question Game with Policy-Based Reinforcement Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Response Generation With Dynamic Vocabularies.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Knowledge Enhanced Hybrid Neural Network for Text Matching.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Neural Response Generation with Dynamic Vocabularies.
CoRR, 2017

Ivec-PLDA-AHC priors for VB-HMM speaker diarization system.
Proceedings of the 2017 IEEE International Workshop on Signal Processing Systems, 2017

Beihang at the NTCIR-13 STC-2 Task.
Proceedings of the 13th NTCIR Conference, 2017

Extended conjugate polar fourier transforminconvolution network.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Probability assessments of identified parameters for stochastic structures using point estimation method.
Reliab. Eng. Syst. Saf., 2016

Large Margin Discriminant Dimensionality Reduction in Prediction Space.
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.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Revertible deep convolutional networks with iterated directional filter bank.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2014
Visual Sentiment Prediction with Deep Convolutional Neural Networks.
CoRR, 2014

Learning Receptive Fields for Pooling from Tensors of Feature Response.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
A Study on Online Decision Model for Information Technology Adoption.
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.
J. Comput. Chem., 2005


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