Min Yang

Orcid: 0000-0001-7345-5071

Affiliations:
  • Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
  • University of Hong Kong, Hong Kong (PhD 2017)


According to our database1, Min Yang authored at least 309 papers between 2014 and 2025.

Collaborative distances:

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Bibliography

2025
GazeGCN: Gaze-aware Graph Convolutional Network for Text Classification.
Neurocomputing, 2025

2024
A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers.
ACM Comput. Surv., November, 2024

High-order proximity and relation analysis for cross-network heterogeneous node classification.
Mach. Learn., September, 2024

Improving Semi-Supervised Text Classification with Dual Meta-Learning.
ACM Trans. Inf. Syst., July, 2024

AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models.
IEEE Trans. Knowl. Data Eng., June, 2024

DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis.
IEEE Trans. Affect. Comput., 2024

Unifying Structured Data as Graph for Data-to-Text Pre-Training.
Trans. Assoc. Comput. Linguistics, 2024

What do they "meme"? A metaphor-aware multi-modal multi-task framework for fine-grained meme understanding.
Knowl. Based Syst., 2024

Contrastive variational information bottleneck for aspect-based sentiment analysis.
Knowl. Based Syst., 2024

Can MLLMs Understand the Deep Implication Behind Chinese Images?
CoRR, 2024

PersonaMath: Enhancing Math Reasoning through Persona-Driven Data Augmentation.
CoRR, 2024

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct.
CoRR, 2024

Training on the Benchmark Is Not All You Need.
CoRR, 2024

Lower Layer Matters: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocused.
CoRR, 2024

AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents.
CoRR, 2024

CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare.
CoRR, 2024

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs.
CoRR, 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.
CoRR, 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.
CoRR, 2024

Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models.
CoRR, 2024

CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling.
CoRR, 2024

DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception.
CoRR, 2024

CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations.
CoRR, 2024

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning.
CoRR, 2024

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property.
CoRR, 2024

History, Development, and Principles of Large Language Models-An Introductory Survey.
CoRR, 2024

ReCoS: A Novel Benchmark for Cross-Modal Image-Text Retrieval in Complex Real-Life Scenarios.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Learning to Generalize Unseen Domains via Multi-source Meta Learning for Text Classification.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

CPPO: Continual Learning for Reinforcement Learning with Human Feedback.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DialCLIP: Empowering Clip As Multi-Modal Dialog Retriever.
Proceedings of the IEEE International Conference on Acoustics, 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Challenge Dataset and Effective Models for Conversational Stance Detection.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Layer-wise Regularized Dropout for Neural Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

TP-Link: Fine-grained Pre-Training for Text-to-SQL Parsing with Linking Information.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Synthesizing Text-to-SQL Data from Weak and Strong LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Iterative Forward Tuning Boosts In-Context Learning in Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Improving In-Context Learning with Prediction Feedback for Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

PITA: Prompting Task Interaction for Argumentation Mining.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Discourse Structure-Aware Prefix for Generation-Based End-to-End Argumentation Mining.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Multi-modal Stance Detection: New Datasets and Model.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

One-Shot Learning as Instruction Data Prospector for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

DiffusionTrack: Diffusion Model for Multi-Object Tracking.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Leveraging hierarchical semantic-emotional memory in emotional conversation generation.
CAAI Trans. Intell. Technol., September, 2023

Knowledge-Based Reasoning Network for Relation Detection.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Exploring Privileged Features for Relation Extraction With Contrastive Student-Teacher Learning.
IEEE Trans. Knowl. Data Eng., August, 2023

Knowledge Enhanced Graph Neural Networks for Explainable Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2023

Lifelong language learning with adaptive uncertainty regularization.
Inf. Sci., April, 2023

User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations.
IEEE Trans. Knowl. Data Eng., March, 2023

Schema dependency-enhanced curriculum pre-training for table semantic parsing.
Knowl. Based Syst., February, 2023

Few-shot Aspect Category Sentiment Analysis via Meta-learning.
ACM Trans. Inf. Syst., January, 2023

Embedding Refinement Framework for Targeted Aspect-Based Sentiment Analysis.
IEEE Trans. Affect. Comput., 2023

Hierarchical conversation flow transition and reasoning for conversational machine comprehension.
Neural Comput. Appl., 2023

A Survey of Natural Language Generation.
ACM Comput. Surv., 2023

One Shot Learning as Instruction Data Prospector for Large Language Models.
CoRR, 2023

Marathon: A Race Through the Realm of Long Context with Large Language Models.
CoRR, 2023

Constructive Large Language Models Alignment with Diverse Feedback.
CoRR, 2023

Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models.
CoRR, 2023

VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue.
CoRR, 2023

A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers.
CoRR, 2023

Iterative Forward Tuning Boosts In-context Learning in Language Models.
CoRR, 2023

Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment.
CoRR, 2023

Unsupervised Dialogue Topic Segmentation with Topic-aware Utterance Representation.
CoRR, 2023

Reducing Spurious Correlations for Aspect-Based Sentiment Analysis with Variational Information Bottleneck and Contrastive Learning.
CoRR, 2023

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning.
CoRR, 2023

Reducing Spurious Correlations for Relation Extraction by Feature Decomposition and Semantic Augmentation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning.
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.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Adversarial Meta Prompt Tuning for Open Compound Domain Adaptive Intent Detection.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Skeletal Spatial-Temporal Semantics Guided Homogeneous-Heterogeneous Multimodal Network for Action Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Iterative Refinement for Multi-Source Visual Domain Adaptation (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Stance Detection on Social Media with Background Knowledge.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

In-context Learning for Few-shot Multimodal Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Focal Training and Tagger Decouple for Grammatical Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Probing Graph Decomposition for Argument Pair Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Class Incremental Learning for Task-Oriented Dialogue System with Contrastive Distillation on Internal Representations (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge.
ACM Trans. Inf. Syst., 2022

Iterative Refinement for Multi-Source Visual Domain Adaptation.
IEEE Trans. Knowl. Data Eng., 2022

Semisupervised Feature Selection With Sparse Discriminative Least Squares Regression.
IEEE Trans. Cybern., 2022

Semisupervised Feature Selection via Structured Manifold Learning.
IEEE Trans. Cybern., 2022

Prompt-Based Prototypical Framework for Continual Relation Extraction.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Improving sequence labeling with labeled clue sentences.
Knowl. Based Syst., 2022

Self-consistent Reasoning For Solving Math Word Problems.
CoRR, 2022

TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs.
CoRR, 2022

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation.
CoRR, 2022

A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions.
CoRR, 2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.
CoRR, 2022

Zero-Shot Stance Detection via Contrastive Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Image-Text Retrieval via Contrastive Learning with Auxiliary Generative Features and Support-set Regularization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Expression Syntax Information Bottleneck for Math Word Problems.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Enhancing Top-N Item Recommendations by Peer Collaboration.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Dual Pseudo Supervision for Semi-Supervised Text Classification with a Reliable Teacher.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Item-Provider Co-learning for Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SEMGraph: Incorporating Sentiment Knowledge and Eye Movement into Graph Model for Sentiment Analysis.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Probing Structural Knowledge from Pre-trained Language Model for Argumentation Relation Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Self-Distillation with Meta Learning for Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language Debiasing.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Dependency-aware Prototype Learning for Few-shot Relation Classification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
An Effective Hybrid Learning Model for Real-Time Event Summarization.
IEEE Trans. Neural Networks Learn. Syst., 2021

Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization.
IEEE Trans. Neural Networks Learn. Syst., 2021

Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study.
IEEE Trans. Neural Networks Learn. Syst., 2021

Modeling Relation Paths for Knowledge Graph Completion.
IEEE Trans. Knowl. Data Eng., 2021

Improving Cross-Modal Image-Text Retrieval With Teacher-Student Learning.
IEEE Trans. Circuits Syst. Video Technol., 2021

Multi-Turn Video Question Generation via Reinforced Multi-Choice Attention Network.
IEEE Trans. Circuits Syst. Video Technol., 2021

Protein Complexes Detection Based on Semi-Supervised Network Embedding Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification.
IEEE Trans. Affect. Comput., 2021

Selection of diverse features with a diverse regularization.
Pattern Recognit., 2021

Empirical evaluation of multi-task learning in deep neural networks for natural language processing.
Neural Comput. Appl., 2021

Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning.
Knowl. Based Syst., 2021

Multi-goal multi-agent learning for task-oriented dialogue with bidirectional teacher-student learning.
Knowl. Based Syst., 2021

Multi-view group representation learning for location-aware group recommendation.
Inf. Sci., 2021

Toward Aspect-Level Sentiment Modification Without Parallel Data.
IEEE Intell. Syst., 2021

SDCUP: Schema Dependency-Enhanced Curriculum Pre-Training for Table Semantic Parsing.
CoRR, 2021

A Chinese Multi-type Complex Questions Answering Dataset over Wikidata.
CoRR, 2021

Enhancing Top-N Item Recommendations by Peer Collaboration.
CoRR, 2021

Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search.
CoRR, 2021

A Template-guided Hybrid Pointer Network for Knowledge-basedTask-oriented Dialogue Systems.
CoRR, 2021

Target-adaptive Graph for Cross-target Stance Detection.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Abstractive Text Summarization with Hierarchical Multi-scale Abstraction Modeling and Dynamic Memory.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Accelerating Neural Architecture Search for Natural Language Processing with Knowledge Distillation and Earth Mover's Distance.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Multi-Modal Sarcasm Detection with Interactive In-Modal and Cross-Modal Graphs.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Progressive Self-Training with Discriminator for Aspect Term Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network.
Proceedings of the Database Systems for Advanced Applications, 2021

Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

CLC-RS: A Chinese Legal Case Retrieval System with Masked Language Ranking.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems.
Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, 2021

Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network.
IEEE Trans. Image Process., 2020

Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training.
IEEE Trans. Cybern., 2020

An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks.
IEEE Trans. Cybern., 2020

Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering.
Neural Networks, 2020

Cross-domain aspect/sentiment-aware abstractive review summarization by combining topic modeling and deep reinforcement learning.
Neural Comput. Appl., 2020

Path-based reasoning with constrained type attention for knowledge graph completion.
Neural Comput. Appl., 2020

Generative adversarial fusion network for class imbalance credit scoring.
Neural Comput. Appl., 2020

Interactive knowledge-enhanced attention network for answer selection.
Neural Comput. Appl., 2020

Topic discovery by spectral decomposition and clustering with coordinated global and local contexts.
Int. J. Mach. Learn. Cybern., 2020

Plausibility-promoting generative adversarial network for abstractive text summarization with multi-task constraint.
Inf. Sci., 2020

Reachability preserving compression for dynamic graph.
Inf. Sci., 2020

Abstractive meeting summarization by hierarchical adaptive segmental network learning with multiple revising steps.
Neurocomputing, 2020

Tag recommendation by text classification with attention-based capsule network.
Neurocomputing, 2020

Time-driven feature-aware jointly deep reinforcement learning for financial signal representation and algorithmic trading.
Expert Syst. Appl., 2020

A semi-supervised model for knowledge graph embedding.
Data Min. Knowl. Discov., 2020

StackRec: Efficient Training of Very Deep Sequential Recommender Models by Layer Stacking.
CoRR, 2020

Improving Neural Chinese Word Segmentation with Lexicon-enhanced Adaptive Attention.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Generic Network Compression Framework for Sequential Recommender Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Overview of the NLPCC 2020 Shared Task: Multi-Aspect-Based Multi-Sentiment Analysis (MAMS).
Proceedings of the Natural Language Processing and Chinese Computing, 2020

AILA: A Question Answering System in the Legal Domain.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover's Distance.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Attentive User-Engaged Adversarial Neural Network for Community Question Answering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Convolutional Hierarchical Attention Network for Query-Focused Video Summarization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multiple Data Augmentation Strategies for Improving Performance on Automatic Short Answer Scoring.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Interactive Dual Generative Adversarial Networks for Image Captioning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
MARES: multitask learning algorithm for Web-scale real-time event summarization.
World Wide Web, 2019

Multitask Learning for Cross-Domain Image Captioning.
IEEE Trans. Multim., 2019

Subspace Weighting Co-Clustering of Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Investigating the transferring capability of capsule networks for text classification.
Neural Networks, 2019

Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning.
Neural Networks, 2019

Out-domain Chinese new word detection with statistics-based character embedding.
Nat. Lang. Eng., 2019

An efficient automatic multiple objectives optimization feature selection strategy for internet text classification.
Int. J. Mach. Learn. Cybern., 2019

Advanced community question answering by leveraging external knowledge and multi-task learning.
Knowl. Based Syst., 2019

KGDDS: A System for Drug-Drug Similarity Measure in Therapeutic Substitution based on Knowledge Graph Curation.
J. Medical Syst., 2019

KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation.
J. Cheminformatics, 2019

Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks.
Inf. Sci., 2019

Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling.
Inf. Sci., 2019

An in-depth study of similarity predicate committee.
Inf. Process. Manag., 2019

Contextual-boosted deep neural collaborative filtering model for interpretable recommendation.
Expert Syst. Appl., 2019

An Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing.
CoRR, 2019

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.
BMC Bioinform., 2019

Abstractive Meeting Summarization via Hierarchical Adaptive Segmental Network Learning.
Proceedings of the World Wide Web Conference, 2019

NAIRS: A Neural Attentive Interpretable Recommendation System.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Answer-enhanced Path-aware Relation Detection over Knowledge Base.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Path-based Attribute-aware Representation Learning for Relation Prediction.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Detecting Malicious Domains with Behavioral Modeling and Graph Embedding.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Reading Like HER: Human Reading Inspired Extractive Summarization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Unified Generation-Retrieval Framework for Image Captioning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Cross-modal Image-Text Retrieval with Multitask Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Knowledge-aware Textual Entailment with Graph Attention Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Exploring Human-Like Reading Strategy for Abstractive Text Summarization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Document Embeddings with Crossword Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Multi-Task Learning Framework for Abstractive Text Summarization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Activity Recommendation with Partners.
ACM Trans. Web, 2018

PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data.
IEEE Trans. Knowl. Data Eng., 2018

TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering.
Pattern Recognit., 2018

Personalized response generation by Dual-learning based domain adaptation.
Neural Networks, 2018

Task-oriented keyphrase extraction from social media.
Multim. Tools Appl., 2018

CBN: Constructing a clinical Bayesian network based on data from the electronic medical record.
J. Biomed. Informatics, 2018

A novel approach for entity resolution in scientific documents using context graphs.
Inf. Sci., 2018

Investment recommendation by discovering high-quality opinions in investor based social networks.
Inf. Syst., 2018

Feature-enhanced attention network for target-dependent sentiment classification.
Neurocomputing, 2018

A Topic Drift Model for authorship attribution.
Neurocomputing, 2018

Dial2Desc: End-to-end Dialogue Description Generation.
CoRR, 2018

Textually Guided Ranking Network for Attentional Image Retweet Modeling.
CoRR, 2018

EAPB: entropy-aware path-based metric for ontology quality.
J. Biomed. Semant., 2018

An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.
Artif. Intell. Medicine, 2018

Cross-Domain Sentiment Classification by Capsule Network With Semantic Rules.
IEEE Access, 2018

Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction.
IEEE Access, 2018

Understanding User Behavior in Sina Weibo Online Social Network: A Community Approach.
IEEE Access, 2018

Supervised Feature Selection With a Stratified Feature Weighting Method.
IEEE Access, 2018

Multi-task Learning for Author Profiling with Hierarchical Features.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Ontology Evaluation with Path-based Text-aware Entropy Computation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

SAAN: A Sentiment-Aware Attention Network for Sentiment Analysis.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Improving automatic source code summarization via deep reinforcement learning.
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

A Multi-task Learning Approach for Image Captioning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Facial expression recognition with deep learning.
Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Investigating Capsule Networks with Dynamic Routing for Text Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Aspect and Sentiment Aware Abstractive Review Summarization.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Cooperative Denoising for Distantly Supervised Relation Extraction.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

A Semi-Supervised Network Embedding Model for Protein Complexes Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Generative Adversarial Network for Abstractive Text Summarization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Sentiment Lexicon Enhanced Attention-Based LSTM for Sentiment Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Leveraging Long and Short-term Information in Content-aware Movie Recommendation.
CoRR, 2017

Learning Max-Margin GeoSocial Multimedia Network Representations for Point-of-Interest Suggestion.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Personalized Response Generation via Domain adaptation.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Relevant Fact Selection for QA via Sequence Labeling.
Proceedings of the Knowledge Science, Engineering and Management, 2017

A Novel Approach for Adverse Events Detection.
Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Scalable Normalized Cut with Improved Spectral Rotation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Dual Learning for Cross-domain Image Captioning.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Integrating Side Information for Boosting Machine Comprehension.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Authorship Attribution with Topic Drift Model.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Attention Based LSTM for Target Dependent Sentiment Classification.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Detecting Review Spammer Groups.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Discovering Author Interest Evolution in Topic Modeling.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Investment Recommendation using Investor Opinions in Social Media.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Interest Profiling for Security Monitoring and Forensic Investigation.
Proceedings of the Information Security and Privacy - 21st Australasian Conference, 2016

2015
Activity-Partner Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Real-time Detection and Sorting of News on Microblogging Platforms.
Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation, 2015

LCCT: A Semi-supervised Model for Sentiment Classification.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

An Information Extraction Framework for Digital Forensic Investigations.
Proceedings of the Advances in Digital Forensics XI, 2015

Ordering-Sensitive and Semantic-Aware Topic Modeling.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Authorship Attribution for Forensic Investigation with Thousands of Authors.
Proceedings of the ICT Systems Security and Privacy Protection, 2014

Learning Domain-specific Sentiment Lexicon with Supervised Sentiment-aware LDA.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

A Topic Model for Building Fine-grained Domain-specific Emotion Lexicon.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014


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