Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

On the Role of Attention Heads in Large Language Model Safety.

[DOI]

Zhenhong Zhou

Haiyang Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization.

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Debate Helps Weak-to-Strong Generalization.

[DOI]

Hao Lang

Fei Huang

Yongbin Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A Survey on Out-of-Distribution Detection in NLP.

[DOI]

Trans. Mach. Learn. Res., 2024

Generalized Channel Coding and Decoding With Natural Redundancy in Protocols.

[DOI]

IEEE Trans. Commun., 2024

Unifying Structured Data as Graph for Data-to-Text Pre-Training.

[DOI]

Trans. Assoc. Comput. Linguistics, 2024

Robust Delimitation of Aggregated Packets Based on Viterbi Decoding With Natural Redundancy in Protocols.

[DOI]

IEEE Signal Process. Lett., 2024

ExploraCoder: Advancing code generation for multiple unseen APIs via planning and chained exploration.

[DOI]

CoRR, 2024

DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling.

[DOI]

CoRR, 2024

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues.

[DOI]

CoRR, 2024

IOPO: Empowering LLMs with Complex Instruction Following via Input-Output Preference Optimization.

[DOI]

CoRR, 2024

Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement.

[DOI]

CoRR, 2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations.

[DOI]

CoRR, 2024

In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks.

[DOI]

CoRR, 2024

Codev-Bench: How Do LLMs Understand Developer-Centric Code Completion?

[DOI]

CoRR, 2024

Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining.

[DOI]

CoRR, 2024

The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends.

[DOI]

CoRR, 2024

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct.

[DOI]

CoRR, 2024

Extend Model Merging from Fine-Tuned to Pre-Trained Large Language Models via Weight Disentanglement.

[DOI]

CoRR, 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.

[DOI]

CoRR, 2024

How to Understand Whole Software Repository?

[DOI]

CoRR, 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.

[DOI]

CoRR, 2024

A Survey on Self-Evolution of Large Language Models.

[DOI]

CoRR, 2024

Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning.

[DOI]

CoRR, 2024

Self-Retrieval: Building an Information Retrieval System with One Large Language Model.

[DOI]

CoRR, 2024

Self-Retrieval: End-to-End Information Retrieval with One Large Language Model.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing the General Agent Capabilities of Low-Paramter LLMs through Tuning and Multi-Branch Reasoning.

[DOI]

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

Fine-Tuning Language Models with Reward Learning on Policy.

[DOI]

Hao Lang

Fei Huang

Yongbin Li

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch.

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generalized Channel Coding and Decoding with Natural Redundancy in Sources and Protocols.

[DOI]

Proceedings of the 24th IEEE International Conference on Communication Technology, 2024

DialCLIP: Empowering Clip As Multi-Modal Dialog Retriever.

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

How Alignment and Jailbreak Work: Explain LLM Safety through Intermediate Hidden States.

[DOI]

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

FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents.

[DOI]

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

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.

[DOI]

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

Improving Factual Consistency of News Summarization by Contrastive Preference Optimization.

[DOI]

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

Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Aligning Logits Generatively for Principled Black-Box Knowledge Distillation.

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment.

[DOI]

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

Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts.

[DOI]

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

Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.

[DOI]

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

UniPCM: Universal Pre-trained Conversation Model with Task-aware Automatic Prompt.

[DOI]

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

Scaling Data Diversity for Fine-Tuning Language Models in Human Alignment.

[DOI]

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

Iterative Forward Tuning Boosts In-Context Learning in Language Models.

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

SoFA: Shielded On-the-fly Alignment via Priority Rule Following.

[DOI]

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

One-Shot Learning as Instruction Data Prospector for Large Language Models.

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.

[DOI]

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

Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models.

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use.

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Preference Ranking Optimization for Human Alignment.

[DOI]

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

2023

A Robust Hierarchical Estimation Scheme for Vehicle State Based on Maximum Correntropy Square-Root Cubature Kalman Filter.

[DOI]

Entropy, March, 2023

Schema dependency-enhanced curriculum pre-training for table semantic parsing.

[DOI]

Knowl. Based Syst., February, 2023

Photo Semantic Understanding and Retargeting by a Noise-Robust Regularized Topic Model.

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

One Shot Learning as Instruction Data Prospector for Large Language Models.

[DOI]

CoRR, 2023

Improving Factual Consistency of Text Summarization by Adversarially Decoupling Comprehension and Embellishment Abilities of LLMs.

[DOI]

CoRR, 2023

Constructive Large Language Models Alignment with Diverse Feedback.

[DOI]

CoRR, 2023

Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.

[DOI]

CoRR, 2023

VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue.

[DOI]

CoRR, 2023

A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment.

[DOI]

CoRR, 2023

Wider and Deeper LLM Networks are Fairer LLM Evaluators.

[DOI]

CoRR, 2023

SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue in Multiple Domains.

[DOI]

CoRR, 2023

Iterative Forward Tuning Boosts In-context Learning in Language Models.

[DOI]

CoRR, 2023

Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment.

[DOI]

CoRR, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.

[DOI]

Kevin Chen-Chuan Chang

Fei Huang

Reynold Cheng

Yongbin Li

CoRR, 2023

Unsupervised Dialogue Topic Segmentation with Topic-aware Utterance Representation.

[DOI]

CoRR, 2023

API-Bank: A Benchmark for Tool-Augmented LLMs.

[DOI]

CoRR, 2023

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning.

[DOI]

CoRR, 2023

Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning.

[DOI]

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

Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning.

[DOI]

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

U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation.

[DOI]

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

SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs.

[DOI]

Kevin Chen-Chuan Chang

Fei Huang

Reynold Cheng

Yongbin Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UniSA: Unified Generative Framework for Sentiment Analysis.

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Wind Farm Abnormal Data Cleaning Method Based on Quartiles.

[DOI]

Proceedings of the 6th IEEE International Conference on Information Systems and Computer Aided Educatio, 2023

Coarse-To-Fine Knowledge Selection for Document Grounded Dialogs.

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Empathetic Response Generation via Emotion Cause Transition Graph.

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Causal Document-Grounded Dialogue Pre-training.

[DOI]

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

Improving Question Generation with Multi-level Content Planning.

[DOI]

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

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

[DOI]

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

Diversify Question Generation with Retrieval-Augmented Style Transfer.

[DOI]

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

Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection.

[DOI]

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

Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue.

[DOI]

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

Plan-then-Seam: Towards Efficient Table-to-Text Generation.

[DOI]

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

Simulation Model and Data Acquisition Method for Wind Turbine Group.

[DOI]

Proceedings of the International Conference on Computers, 2023

Learning What to Ask: Mining Product Attributes for E-commerce Sales from Massive Dialogue Corpora.

[DOI]

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

Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment.

[DOI]

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

History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling.

[DOI]

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

Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark.

[DOI]

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

Sequence Parallelism: Long Sequence Training from System Perspective.

[DOI]

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

PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts.

[DOI]

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

CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality.

[DOI]

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

Long-Tailed Question Answering in an Open World.

[DOI]

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

Domain Incremental Lifelong Learning in an Open World.

[DOI]

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

Universal Information Extraction with Meta-Pretrained Self-Retrieval.

[DOI]

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

Unified Language Representation for Question Answering over Text, Tables, and Images.

[DOI]

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

SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph.

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing.

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Construction of Internet of Things English terms model and analysis of language features via deep learning.

[DOI]

Yongbin Li

J. Supercomput., 2022

IAFNet: Few-Shot Learning for Modulation Recognition in Underwater Impulsive Noise.

[DOI]

Haiwang Wang

Bin Wang

Yongbin Li

IEEE Commun. Lett., 2022

IFGAN: Information fusion generative adversarial network for knowledge base completion.

[DOI]

Expert Syst. J. Knowl. Eng., 2022

Towards Generalized Open Information Extraction.

[DOI]

CoRR, 2022

Semi-Supervised Lifelong Language Learning.

[DOI]

CoRR, 2022

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue.

[DOI]

CoRR, 2022

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation.

[DOI]

CoRR, 2022

EnergonAI: An Inference System for 10-100 Billion Parameter Transformer Models.

[DOI]

CoRR, 2022

A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions.

[DOI]

CoRR, 2022

A Frequency-aware Software Cache for Large Recommendation System Embeddings.

[DOI]

CoRR, 2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.

[DOI]

CoRR, 2022

Multi-View Active Fine-Grained Recognition.

[DOI]

CoRR, 2022

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue System.

[DOI]

CoRR, 2022

S<sup>2</sup>SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers.

[DOI]

CoRR, 2022

Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation.

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration.

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.

[DOI]

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

Duplex Conversation: Towards Human-like Interaction in Spoken Dialogue Systems.

[DOI]

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

Joint Evidential $K$-Nearest Neighbor Classification.

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Semi-Supervised Lifelong Language Learning.

[DOI]

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

Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings.

[DOI]

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

Estimating Soft Labels for Out-of-Domain Intent Detection.

[DOI]

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

UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition.

[DOI]

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

Towards Generalizable and Robust Text-to-SQL Parsing.

[DOI]

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

Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots.

[DOI]

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

CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation.

[DOI]

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

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing.

[DOI]

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

SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers.

[DOI]

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

Graph-to-Text Generation with Dynamic Structure Pruning.

[DOI]

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

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding.

[DOI]

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

A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots.

[DOI]

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

S²SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers.

[DOI]

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

GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection.

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Research on Input Scheme Selection of a Novel Parallel Mechanism.

[DOI]

J. Robotics, 2021

SDCUP: Schema Dependency-Enhanced Curriculum Pre-Training for Table Semantic Parsing.

[DOI]

CoRR, 2021

Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training.

[DOI]

CoRR, 2021

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking.

[DOI]

CoRR, 2021

Sequence Parallelism: Making 4D Parallelism Possible.

[DOI]

CoRR, 2021

Improving Text-to-SQL with Schema Dependency Learning.

[DOI]

CoRR, 2021

Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing.

[DOI]

CoRR, 2021

A Frequency Conversion Circuit for Piezoelectric Vibrating Energy Harvesting.

[DOI]

Proceedings of the Multimedia Technology and Enhanced Learning, 2021

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking.

[DOI]

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

Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing.

[DOI]

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

2020

The Accuracy of Low-Altitude Photogrammetry of Drones.

[DOI]

Nan Guo

Yongbin Li

Int. J. Pattern Recognit. Artif. Intell., 2020

A Survey on Dialog Management: Recent Advances and Challenges.

[DOI]

CoRR, 2020

A recommendations model with multiaspect awareness and hierarchical user-product attention mechanisms.

[DOI]

Comput. Sci. Inf. Syst., 2020

Blind Detection of Underwater Acoustic Communication Signals Based on Deep Learning.

[DOI]

IEEE Access, 2020

Automatic Modulation Classification for Short Burst Underwater Acoustic Communication Signals Based on Hybrid Neural Networks.

[DOI]

IEEE Access, 2020

Knowledge Transfer for Out-of-Knowledge-Base Entities: Improving Graph-Neural-Network-Based Embedding Using Convolutional Layers.

[DOI]

IEEE Access, 2020

A Parallel-Attention Model for Tumor Named Entity Recognition in Spanish.

[DOI]

Tong Wang

Yuanyu Zhang

Yongbin Li

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), 2020

An Improved Spectral Clustering Algorithm Using Fast Dynamic Time Warping for Power Load Curve Analysis.

[DOI]

Proceedings of the Mobile Computing, Applications, and Services, 2020

Dynamic Memory Induction Networks for Few-Shot Text Classification.

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment.

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Symbolic computation on the partition lattice of an <i>n</i>-set.

[DOI]

Yongbin Li

Qiuju Fu

Renbin Deng

J. Symb. Comput., 2019

Few-Shot Text Classification with Induction Network.

[DOI]

CoRR, 2019

Induction Networks for Few-Shot Text Classification.

[DOI]

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

A Convolutional Neural Network for Real-Time Vehicle Detection Under the Unmanned Aerial Vehicle Platform.

[DOI]

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

Measuring the Angular Velocity of a Propeller with Video Camera Using Electronic Rolling Shutter.

[DOI]

J. Sensors, 2018

Lyb3b at SemEval-2018 Task 12: Ensemble-based Deep Learning Models for Argument Reasoning Comprehension Task.

[DOI]

Yongbin Li

Xiaobing Zhou

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Lyb3b at SemEval-2018 Task 11: Machine Comprehension Task using Deep Learning Models.

[DOI]

Yongbin Li

Xiaobing Zhou

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

2017

Accurately predicting heat transfer performance of ground heat exchanger for ground-coupled heat pump systems using data mining methods.

[DOI]

Neural Comput. Appl., 2017

FTGuard: A Priority-Aware Strategy Against the Flow Table Overflow Attack in SDN.

[DOI]

Proceedings of the Posters and Demos Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

YNUDLG at IJCNLP-2017 Task 5: A CNN-LSTM Model with Attention for Multi-choice Question Answering in Examinations.

[DOI]

Proceedings of the IJCNLP 2017, Shared Tasks, Taipei, Taiwan, November 27, 2017

2016

Computing the decomposition group of a zero-dimensional ideal by elimination method.

[DOI]

Yongbin Li

CoRR, 2016

2015

Outage performance of full-duplex selective decode-and-forward relaying over Nakagami-m fading channels.

[DOI]

Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015

2014

Approach to multiple attribute decision making with hesitant triangular fuzzy information and their application to customer credit risk assessment.

[DOI]

Yong-Bin Li

Jian-Ping Zhang

J. Intell. Fuzzy Syst., 2014

Topsis method for hybrid multiple attribute decision making with 2-tuple linguistic information and its application to computer network security evaluation.

[DOI]

Yong-Bin Li

Jian-Ping Zhang

J. Intell. Fuzzy Syst., 2014

2011

The Mobile Intelligent Network Platform for Pre-processing Based on Layered Architecture.

[DOI]

Yong-Bin Li

Proceedings of the Emerging Research in Web Information Systems and Mining, 2011

2010

Some Notes upon "When Does <T> Equal Sat(T)?".

[DOI]