Kan Li

Orcid: 0000-0003-3528-4739

Affiliations:
  • Beijing Institute of Technology, School of Computer Science and Technology, China


According to our database1, Kan Li authored at least 108 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MODE: a multimodal open-domain dialogue dataset with explanation.
Appl. Intell., April, 2024

Tackling confusion among actions for action segmentation with adaptive margin and energy-driven refinement.
Mach. Vis. Appl., March, 2024

Boundary-sensitive denoised temporal reasoning network for video action segmentation.
Signal Image Video Process., 2024

Federated deep long-tailed learning: A survey.
Neurocomputing, 2024

Instruction Embedding: Latent Representations of Instructions Towards Task Identification.
CoRR, 2024

Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning.
CoRR, 2024

CogLM: Tracking Cognitive Development of Large Language Models.
CoRR, 2024

BatchEval: Towards Human-like Text Evaluation.
CoRR, 2024

Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Federated Learning for Assigning Weights to Clients on Long-Tailed Data.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Focused Large Language Models are Stable Many-Shot Learners.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Generative Dense Retrieval: Memory Can Be a Burden.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

BatchEval: Towards Human-like Text Evaluation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Poor-Supervised Evaluation for SuperLLM via Mutual Consistency.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Stop filtering: Multi-view attribute-enhanced dialogue learning.
Knowl. Based Syst., October, 2023

Self-supervised method for 3D human pose estimation with consistent shape and viewpoint factorization.
Appl. Intell., February, 2023

EXMODD: An EXplanatory Multimodal Open-Domain Dialogue dataset.
CoRR, 2023

Advances and Challenges of Multi-task Learning Method in Recommender System: A Survey.
CoRR, 2023

Denoised Temporal Relation Network for Temporal Action Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Heterogeneous-Branch Collaborative Learning for Dialogue Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Magnitude Bounded Matrix Factorisation for Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

THINK: A novel conversation model for generating grammatically correct and coherent responses.
Knowl. Based Syst., 2022

Diversifying Neural Dialogue Generation via Negative Distillation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Hierarchical Inductive Transfer for Continual Dialogue Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
SRCNN-PIL: Side Road Convolution Neural Network Based on Pseudoinverse Learning Algorithm.
Neural Process. Lett., 2021

Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Collaborative Group Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Exploring temporal consistency for human pose estimation in videos.
Pattern Recognit., 2020

Recognizing actions in images by fusing multiple body structure cues.
Pattern Recognit., 2020

Minimizing the influence of rumors during breaking news events in online social networks.
Knowl. Based Syst., 2020

Minimizing rumor influence in multiplex online social networks based on human individual and social behaviors.
Inf. Sci., 2020

DONE: Enhancing network embedding via greedy vertex domination.
Neurocomputing, 2020

TemporalGAT: Attention-Based Dynamic Graph Representation Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

A Multistage Ranking Strategy for Personalized Hotel Recommendation with Human Mobility Data.
Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020

Regularizing Dialogue Generation by Imitating Implicit Scenarios.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Relative Pairwise Relationship Constrained Non-Negative Matrix Factorisation.
IEEE Trans. Knowl. Data Eng., 2019

A deeper graph neural network for recommender systems.
Knowl. Based Syst., 2019

Predicting Student Performance and Deficiency in Mastering Knowledge Points in MOOCs Using Multi-Task Learning.
Entropy, 2019

Behavior Pattern and Compiled Information Based Performance Prediction in MOOCs.
CoRR, 2019

Multilayer LSTM with Global Access Gate for Predicting Students Performance Using Online Behaviors.
Aust. J. Intell. Inf. Process. Syst., 2019

LEARN: Enhanced Network Embedding via Similarity Learning.
Aust. J. Intell. Inf. Process. Syst., 2019

Enhancing Fashion Recommendation with Visual Compatibility Relationship.
Proceedings of the World Wide Web Conference, 2019

RsyGAN: Generative Adversarial Network for Recommender Systems.
Proceedings of the International Joint Conference on Neural Networks, 2019

DARIM: Dynamic Approach for Rumor Influence Minimization in Online Social Networks.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

ComNE: Reinforcing Network Embedding with Community Learning.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Fuzzy competence model drift detection for data-driven decision support systems.
Knowl. Based Syst., 2018

Topologically biased random walk for diffusions on multiplex networks.
J. Comput. Sci., 2018

Centrality ranking in multiplex networks using topologically biased random walks.
Neurocomputing, 2018

Active Fuzzy Weighting Ensemble for Dealing with Concept Drift.
Int. J. Comput. Intell. Syst., 2018

Predicting Achievement of Students in Smart Campus.
IEEE Access, 2018

A Novel Technique for the Evaluation of Posterior Probabilities of Student Cognitive Skills.
IEEE Access, 2018

A Multilayer Prediction Approach for the Student Cognitive Skills Measurement.
IEEE Access, 2018

Centrality Ranking via Topologically Biased Random Walks in Multiplex Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Least Cost Rumor Influence Minimization in Multiplex Social Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

HISBmodel: A Rumor Diffusion Model Based on Human Individual and Social Behaviors in Online Social Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Hierarchy Based Influence Maximization Algorithm in Social Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Dynamic Update Upper Bounds Influence Maximization Algorithm.
Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence, 2018

Disease gene identification by walking on multilayer heterogeneous networks.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

The construction and practice of integration cultivation mechanism for innovative talents in CS discipline.
Proceedings of ACM Turing Celebration Conference - China, 2018

Simulation of Student Skills: The Novel Technique Based on Quantization of Cognitive Skills Outcomes.
Proceedings of the 17th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2018

2017
A general description generator for human activity images based on deep understanding framework.
Neural Comput. Appl., 2017

Concept drift region identification via competence-based discrepancy distribution estimation.
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017

Constraint-Based Clustering Algorithm for Multi-density Data and Arbitrary Shapes.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2017

A Deep Model Combining Structural Features and Context Cues for Action Recognition in Static Images.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Knowledge Graph Based Question Routing for Community Question Answering.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Detecting overlapping protein complexes in dynamic protein-protein interaction networks by developing a fuzzy clustering algorithm.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Formulation of Cognitive Skills: A theoretical model based on psychological and neurosciences studies.
Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017

2016
Main objects interaction activity recognition in real images.
Neural Comput. Appl., 2016

Estimating multilateral trade behaviors on the world trade web with limited information.
Neurocomputing, 2016

A Generative Model for Recognizing Mixed Group Activities in Still Images.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Online Topic Evolution Modeling Based on Hierarchical Dirichlet Process.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

2015
Detecting hierarchical structure of community members in social networks.
Knowl. Based Syst., 2015

3D Depth Perception from Single Monocular Images.
Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Recognizing Human Activity in Still Images by Integrating Group-Based Contextual Cues.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Generating image description by modeling spatial context of an image.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Recognizing visual composite in real images.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Predicting image caption by a unified hierarchical model.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Semi-supervised Clustering Method for Multi-density Data.
Proceedings of the Database Systems for Advanced Applications, 2015

2014
A unified community detection algorithm in complex network.
Neurocomputing, 2014

A Unified Model for Community Detection of Multiplex Networks.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Detecting Hierarchical Structure of Community Members by Link Pattern Expansion Method.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Clustering Evolving Data Stream with Affinity Propagation Algorithm.
Proceedings of the Database and Expert Systems Applications, 2014

Active Query Selection for Constraint-Based Clustering Algorithms.
Proceedings of the Database and Expert Systems Applications, 2014

2013
Communities analysis in protein-protein interaction networks.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Detecting core protein complexes based on link patterns.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

An Energy Model for Network Community Structure Detection.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

A Hybrid-Sorting Semantic Matching Method.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
A Vertex Similarity Probability Model for Finding Network Community Structure.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

2010
Dynamic Replica Selection Using Improved Kernel Density Estimation.
Proceedings of the Third International Symposium on Intelligent Information Technology and Security Informatics, 2010

2009
Duty-Oriented Hybrid Peer-to-Peer Network Based on Metadata.
Int. J. Distributed Sens. Networks, 2009

Text Categorization Based on Topic Model.
Int. J. Comput. Intell. Syst., 2009

An Efficient Replica Location Method in Hierarchical P2P Networks.
Proceedings of the 8th IEEE/ACIS International Conference on Computer and Information Science, 2009

2008
A Multi-Level Super Peer Based P2P Architecture.
Proceedings of the 2008 International Conference on Information Networking, 2008

SLUP: A Semantic-Based and Location-Aware Unstructured P2P Network.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications, 2008

CSONG: A Semantic-Based Hybrid Overlay Network for Data Grid.
Proceedings of the Seventh International Conference on Grid and Cooperative Computing, 2008

Text Classification Based on a Novel Bayesian Hierarchical Model.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007
A novel spectral clustering algorithm.
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

2005
KFCSA: A Novel Clustering Algorithm for High-Dimension Data.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005


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