Bin Liang
Orcid: 0000-0001-7234-1347Affiliations:
- 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
Neurocomputing, 2025
2024
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
CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility.
CoRR, 2024
CoRR, 2024
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering.
CoRR, 2024
CoRR, 2024
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
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
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
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
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
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
ACM Trans. Inf. Syst., January, 2023
Sentiment- Emotion- and Context-Guided Knowledge Selection Framework for Emotion Recognition in Conversations.
IEEE Trans. Affect. Comput., 2023
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
Proceedings of the Cognitive Computing - ICCC 2023, 2023
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
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks.
Knowl. Based Syst., 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
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
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
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
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
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
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
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019