Junlan Feng

Orcid: 0000-0001-5292-2945

According to our database1, Junlan Feng authored at least 122 papers between 2000 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A double-layer attentive graph convolution networks based on transfer learning for dynamic graph classification.
Int. J. Mach. Learn. Cybern., March, 2024

Depth Map Denoising Network and Lightweight Fusion Network for Enhanced 3D Face Recognition.
Pattern Recognit., January, 2024

Fine-Grained Recognition With Learnable Semantic Data Augmentation.
IEEE Trans. Image Process., 2024

Predicting Parameter Change's Effect on Cellular Network Time Series.
CoRR, 2024

MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing.
CoRR, 2024

Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification.
CoRR, 2024

On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations.
CoRR, 2024

Large Language Models Are Cross-Lingual Knowledge-Free Reasoners.
CoRR, 2024

CEC: A Noisy Label Detection Method for Speaker Recognition.
CoRR, 2024

GenDistiller: Distilling Pre-trained Language Models based on an Autoregressive Generative Model.
CoRR, 2024

PolySpeech: Exploring Unified Multitask Speech Models for Competitiveness with Single-task Models.
CoRR, 2024

EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling.
CoRR, 2024

Large Language Models are Good Spontaneous Multilingual Learners: Is the Multilingual Annotated Data Necessary?
CoRR, 2024

The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG).
CoRR, 2024

InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting.
CoRR, 2024

Plugin Speech Enhancement: A Universal Speech Enhancement Framework Inspired by Dynamic Neural Network.
CoRR, 2024

Improving Self-consistency for Open-Domain Question Answering via Automatic Prompt Engineering and Ensemble Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

ASRLM: ASR-Robust Language Model Pre-training via Generative and Discriminative Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

A Compact and Accurate Sketch for Estimating a Large Range of Set Difference Cardinalities.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

World Model Aided Parameter Adjustment Decision and Evaluation System for Radio Access Network.
Proceedings of the IEEE International Conference on Communications, 2024

Temporal Knowledge Graph Embedding using Householder Transformations.
Proceedings of the IEEE International Conference on Acoustics, 2024

Robust Self-Supervised Learning with Contrast Samples for Natural Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2024

A Generative Adversarial Framework for Dialogue Generation with Neural Architecture Search.
Proceedings of the IEEE International Conference on Acoustics, 2024

Feature Mixing-Based Active Learning for Multi-Label Text Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLM as a metric critic for low resource relation identification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Holistic Transmission Performance Prediction of Balise System With Gate-Steered Residual Interweave Networks.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Network Meets ChatGPT: Intent Autonomous Management, Control and Operation.
J. Commun. Inf. Networks, September, 2023

Network Topology Optimization via Deep Reinforcement Learning.
IEEE Trans. Commun., May, 2023

Federated Learning Over Coupled Graphs.
IEEE Trans. Parallel Distributed Syst., April, 2023

Harmonic Attention for Monaural Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Variational Latent-State GPT for Semi-Supervised Task-Oriented Dialog Systems.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

A novel Pseudo-label based domain adaptation method on tabular data.
J. Intell. Fuzzy Syst., 2023

A survey of transformer-based multimodal pre-trained modals.
Neurocomputing, 2023

Deep Learning for Medication Recommendation: A Systematic Survey.
Data Intell., 2023

MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting.
CoRR, 2023

Healing Unsafe Dialogue Responses with Weak Supervision Signals.
CoRR, 2023

Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Two-sided Calibration for Quality-aware Responsible Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Cascaded Multi-task Adaptive Learning Based on Neural Architecture Search.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Knowledge-Retrieval Task-Oriented Dialog Systems with Semi-Supervision.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Multi-Branch Spatial-Temporal Decoupling Neural Network for Traffic Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2023

Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Dynamic Perceiver for Efficient Visual Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction.
Proceedings of the IEEE International Conference on Communications, 2023

CSDnet:Causal Inference Aided Handover Parameter Adjusting Effect Estimation in Cellular Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Intent Does Matter! Propagating High-Order Relations for Exploring Interest Preferences.
Proceedings of the IEEE International Conference on Acoustics, 2023

VE-KWS: Visual Modality Enhanced End-to-End Keyword Spotting.
Proceedings of the IEEE International Conference on Acoustics, 2023

ESCL: Equivariant Self-Contrastive Learning for Sentence Representations.
Proceedings of the IEEE International Conference on Acoustics, 2023

Semi-Supervised Speech Enhancement Based On Speech Purity.
Proceedings of the IEEE International Conference on Acoustics, 2023

Empowering Spatial Knowledge Graph for Mobile Traffic Prediction.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Beyond Layout Embedding: Layout Attention with Gaussian Biases for Structured Document Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Spatial-Temporal Residual Multi-Graph Convolution Network for Traffic Forecasting.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

BiQCap: A Biquaternion and Capsule Network-Based Embedding Model for Temporal Knowledge Graph Completion.
Proceedings of the Database Systems for Advanced Applications, 2023

Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Predictability of Cellular Network Traffic Based on Conditional Entropy.
Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023

Prompt Pool Based Class-Incremental Continual Learning for Dialog State Tracking.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Noise-robust Pitch Detection Based on Super-Resolution Harmonics.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

Learning to Leverage High-Order Medical Knowledge Graph for Joint Entity and Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multi-Action Dialog Policy Learning from Logged User Feedback.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems.
CoRR, 2022

Jointly Reinforced User Simulator and Task-oriented Dialog System with Simplified Generative Architecture.
CoRR, 2022

Information Extraction and Human-Robot Dialogue towards Real-life Tasks: A Baseline Study with the MobileCS Dataset.
CoRR, 2022

A Challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems.
CoRR, 2022

Revisiting Markovian Generative Architectures for Efficient Task-Oriented Dialog Systems.
CoRR, 2022

Building Markovian Generative Architectures Over Pretrained LM Backbones for Efficient Task-Oriented Dialog Systems.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Advancing Semi-Supervised Task Oriented Dialog Systems by JSA Learning of Discrete Latent Variable Models.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Distill-AER: Fine-Grained Address Entity Recognition from Spoken Dialogue via Knowledge Distillation.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

Meta Auxiliary Learning for Low-resource Spoken Language Understanding.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Accurate and Scalable Graph Neural Networks for Billion-Scale Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Network Traffic Overload Prediction with Temporal Graph Attention Convolutional Networks.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

HGCN: Harmonic Gated Compensation Network for Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2022

Harmonic Gated Compensation Network Plus for ICASSP 2022 DNS Challenge.
Proceedings of the IEEE International Conference on Acoustics, 2022

A Multi-scale Ensemble Learning Model for Cellular Traffic Prediction.
Proceedings of the IEEE Global Communications Conference, 2022

Generalized Intent Discovery: Learning from Open World Dialogue System.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Interactive Contrastive Learning for Self-Supervised Entity Alignment.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Target Interest Distillation for Multi-Interest Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting.
Proceedings of the IEEE Global Communications Conference, 2021

Learning to Check Contract Inconsistencies.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning.
CoRR, 2020

Improved Learning of Word Embeddings with Word Definitions and Semantic Injection.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Customer Segment Application of Machine Learning in Business Operation of China Mobile.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Sentiment Analysis with Weighted Graph Convolutional Networks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Meta-Reinforced Multi-Domain State Generator for Dialogue Systems.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
A New Fine-Tuning Architecture Based on Bert for Word Relation Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Code-Switching Sentence Generation by Bert and Generative Adversarial Networks.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Neural CRF Transducers for Sequence Labeling.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Elastic CRFs for Open-ontology Slot Filling.
CoRR, 2018

2016
Unsatisfied customer call detection with deep learning.
Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016

2012
Trends in Speech and Language Processing [In the Spotlight].
IEEE Signal Process. Mag., 2012

Language Modeling for Voice-Enabled Social TV Using Tweets.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

2011
Speech and Multimodal Interaction in Mobile Search.
IEEE Signal Process. Mag., 2011

VoiSTV: voice-enabled social TV.
Proceedings of the 20th International Conference on World Wide Web, 2011

Filtering microblogging messages for social TV.
Proceedings of the 20th International Conference on World Wide Web, 2011

A Bootstrapping Approach to Identifying Relevant Tweets for Social TV.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Measuring User Influence on Twitter Using Modified K-Shell Decomposition.
Proceedings of the Social Mobile Web, 2011

Location-aware query parsing for mobile voice search.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Query parsing in mobile voice search.
Proceedings of the 19th International Conference on World Wide Web, 2010

Probabilistic model-based sentiment analysis of twitter messages.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

Listen to me if you can: tracking user experience of mobile network on social media.
Proceedings of the 10th ACM SIGCOMM Internet Measurement Conference, 2010

A general framework for building natural language understanding modules in voice search.
Proceedings of the IEEE International Conference on Acoustics, 2010

Robust Sentiment Detection on Twitter from Biased and Noisy Data.
Proceedings of the COLING 2010, 2010

2009
Role of natural language understanding in voice local search.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Query parsing for voice-enabled mobile local search.
Proceedings of the IEEE International Conference on Acoustics, 2009

Effects of Word Confusion Networks on Voice Search.
Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

2008
Speech and language processing over the web.
IEEE Signal Process. Mag., 2008

WebTrack: Mining and Tracking Content and Structure of Websites.
Proceedings of The 2008 International Conference on Data Mining, 2008

2006
Question answering with discriminative learning algorithms.
Proceedings of the Ninth International Conference on Spoken Language Processing, 2006

Webtalk: Towards Automatically Building Spoken Dialog Systems Through Miningwebsites.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Webtalk: mining websites for interactively answering questions.
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

A Learning Approach to Discovering Web Page Semantic Structures.
Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

2004
Question-answering in webtalk: an evaluation study.
Proceedings of the 8th International Conference on Spoken Language Processing, 2004

2003
WebTalk: Towards Automatically Building Dialog Services by Exploiting the Content & Structure of Websites.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

2000
Data collection and processing in a Chinese spontaneous speech corpus IIS_CSS.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000


  Loading...