Bin Liang

Orcid: 0000-0001-7234-1347

Affiliations:
  • Chinese University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong
  • Harbin Institute of Technology Shenzhen, HITSZ, School of Computer Science and Technology, China (PhD)


According to our database1, Bin Liang authored at least 68 papers between 2019 and 2025.

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Bibliography

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

2024
Gaze-infused BERT: Do human gaze signals help pre-trained language models?
Neural Comput. Appl., July, 2024

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

Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection.
IEEE Trans. Affect. Comput., 2024

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

AdaCLF: An Adaptive Curriculum Learning Framework for Emotional Support Conversation.
IEEE Intell. Syst., 2024

MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models.
CoRR, 2024

OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst.
CoRR, 2024

CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility.
CoRR, 2024

Towards Real-World Stickers Use: A New Dataset for Multi-Tag Sticker Recognition.
CoRR, 2024

Reply with Sticker: New Dataset and Model for Sticker Retrieval.
CoRR, 2024

PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering.
CoRR, 2024

Mitigating Biases of Large Language Models in Stance Detection with Calibration.
CoRR, 2024

COPR: Continual Human Preference Learning via Optimal Policy Regularization.
CoRR, 2024

A Persona-Infused Cross-Task Graph Network for Multimodal Emotion Recognition with Emotion Shift Detection in Conversations.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Multimodal Emotion Recognition Calibration in Conversations.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Argumentative Relation Classification by Multi-Granularity Retrieval and Heterogeneous Graph Reasoning.
Proceedings of the IEEE International Conference on Acoustics, 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

In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning.
Proceedings of the 2024 Joint International Conference on 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

Multi-modal Stance Detection: New Datasets and Model.
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

Adaptive Graph Learning for Multimodal Conversational Emotion Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-perspective contrastive learning framework guided by sememe knowledge and label information for sarcasm detection.
Int. J. Mach. Learn. Cybern., December, 2023

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

Sentiment- Emotion- and Context-Guided Knowledge Selection Framework for Emotion Recognition in Conversations.
IEEE Trans. Affect. Comput., 2023

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

CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

An Unsupervised Method for Sarcasm Detection with Prompts.
Proceedings of the Cognitive Computing - ICCC 2023, 2023

Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

An Empirical Study on Multiple Knowledge from ChatGPT for Emotion Recognition in Conversations.
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

Set Learning for Generative Information Extraction.
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

Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Do Topic and Causal Consistency Affect Emotion Cognition? A Graph Interactive Network for Conversational Emotion Detection.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

An Empirical Study of Sentiment-Enhanced Pre-Training for Aspect-Based Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

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

MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks.
Knowl. Based Syst., 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

Enhancing Zero-Shot Stance Detection via Targeted Background Knowledge.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Masking and Generation: An Unsupervised Method for Sarcasm Detection.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 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

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

Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis.
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

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

Affective Dependency Graph for Sarcasm Detection.
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

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

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

2020
Extracting the Collaboration of Entity and Attribute: Gated Interactive Networks for Aspect Sentiment Analysis.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Context-aware Embedding for Targeted Aspect-based Sentiment Analysis.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019


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