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Hi 👋

My name is Bin Liang!

I am a Postdoctoral Fellow working on research related to NLP and machine learning.

  • 👨🏼‍🎓 I got my doctorate from Harbin Institute of Technology, Shenzhen, China.
  • 📚️ My current research interests include natural language processing, sentiment analysis, multimodal learning, and machine learning.
  • 📃 I have published more than 30 papers with top conferences and journals, such as ACL, EMNLP, WWW, SIGIR, ACM TOIS, IEEE TAC, etc.
  • 📫 Please visit my personal website for complete background and contact.

Bin Liang (梁 斌)'s Projects

aagcn-acsa icon aagcn-acsa

[EMNLP 2021] Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge

absa-bert-pair icon absa-bert-pair

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

absa-pytorch icon absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。

absa_keras icon absa_keras

Keras Implementation of Aspect based Sentiment Analysis

ac-mimlln icon ac-mimlln

Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis (EMNLP 2020)

adan icon adan

Language-Adversarial Training for Cross-Lingual Text Classification (TACL)

adv-inf icon adv-inf

Adversarial Inference for Multi-Sentence Video Descriptions (CVPR 2019)

adv-multi-absa icon adv-multi-absa

Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis. Proceedings of CIKM 2020

agdt icon agdt

Code for "A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis." on EMNLP 2019.

align_uniform icon align_uniform

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.

anyq icon anyq

FAQ-based Question Answering System

arts_testset icon arts_testset

This is our ARTS test set, an enriched test set to probe Aspect Robustness of ABSA.

asgcn icon asgcn

Code and preprocessed dataset for EMNLP 2019 paper titled "Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks"

aspect-level-sentiment icon aspect-level-sentiment

Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"

autoprompt icon autoprompt

AutoPrompt: Automatic Prompt Construction for Masked Language Models.

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