← Authors

Bing Liu

139 papers · 2008–2026 · 15 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (14) 🌍 Conference Polyglot (15) πŸƒ Academic Marathon (18) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (25) πŸ† Keyword Champion (4) πŸ”¬ Deep Specialist (27) 🀝 Dynamic Duo (18) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ“ˆ Trend Setter ❓ The Questioner ⚑ Prolific Year (13) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (50) πŸ’Ž Century Club (137) πŸ”₯ Unstoppable (19)

Conferences

EMNLP (30) ACL (25) COLING (18) NAACL (12) AAAI (11) IJCAI (9) ICML (7) IJCNLP (6) NIPS (6) ICLR (5) INTERSPEECH (4) CVPR (3) ACML (1) EACL (1) WACV (1)

Top co-authors

Hu Xu (18) Lei Shu (16) Sahisnu Mazumder (13) Zixuan Ke (12) Arjun Mukherjee (11) Wenpeng Hu (11) Dongyan Zhao (11) Zhiyuan Chen (9) Jinwen Ma (7) Seungwhan Moon (7)

Keywords

continual learning (20) catastrophic forgetting (17) neural network (11) knowledge transfer (9) text classification (9) dialogue system (8) transfer learning (7) task-oriented dialogue (7) domain adaptation (7) lifelong learning (6) language model (6) sentiment classification (6) graph neural network (5) out-of-distribution detection (5) knowledge distillation (5) large language model (5) knowledge graph (4) convolutional neural network (4) zero-shot learning (4) representation learning (4)

Papers

Improving Out-of-Distribution Detection Using Segmented Images and Cross-View Attention Fusion WACV 2026
Continual Out-of-Distribution Detection with Analytic Neural Collapse AAAI 2026
Negative Entity Suppression for Zero-Shot Captioning with Synthetic Images AAAI 2026
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models ICLR 2025
Generalizing Reasoning Problems to Longer Lengths ICLR 2025
Continual Learning Using Only Large Language Model Prompting COLING 2025
Understanding the Unfairness in Network Quantization ICML 2025
Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation IJCAI 2025
DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models ICML 2025
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking IJCAI 2025
In-context Continual Learning Assisted by an External Continual Learner COLING 2025
Continual Learning Using a Kernel-Based Method Over Foundation Models AAAI 2025
Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation ACL 2025
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation COLING 2024
Class Incremental Learning via Likelihood Ratio Based Task Prediction ICLR 2024
Probing Language Models for Pre-training Data Detection ACL 2024
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective ICML 2024
An Evaluation Mechanism of LLM-based Agents on Manipulating APIs EMNLP 2024
Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation AAAI 2024
Sentiment Analysis in the Era of Large Language Models: A Reality Check NAACL 2024
Noisy Multi-Label Text Classification via Instance-Label Pair Correction NAACL 2024
Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction ACL 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NIPS 2024
Introducing Semantics into Speech Encoders ACL 2023
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution ACL 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? IJCAI 2023
Dealing With Cross-Task Class Discrimination in Online Continual Learning CVPR 2023
Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking EMNLP 2023
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks EMNLP 2023
Label-Specific Feature Augmentation for Long-Tailed Multi-Label Text Classification AAAI 2023
Continual Pre-training of Language Models ICLR 2023
Learnability and Algorithm for Continual Learning ICML 2023
Parameter-Level Soft-Masking for Continual Learning ICML 2023
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast ACL 2023
Class-Incremental Learning based on Label Generation ACL 2023
Continual Training of Language Models for Few-Shot Learning EMNLP 2022
Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities EMNLP 2022
Guiding Neural Entity Alignment with Compatibility EMNLP 2022
Ensemble Semi-supervised Entity Alignment via Cycle-Teaching AAAI 2022
Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP AAAI 2022
Adaptive Orthogonal Projection for Batch and Online Continual Learning AAAI 2022
KETOD: Knowledge-Enriched Task-Oriented Dialogue NAACL 2022
Online Continual Learning through Mutual Information Maximization ICML 2022
A Theoretical Study on Solving Continual Learning NIPS 2022
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings COLING 2022
Show, Deconfound and Tell: Image Captioning With Causal Inference CVPR 2022
Neural Collaborative Graph Machines for Table Structure Recognition CVPR 2022
Adapting a Language Model While Preserving its General Knowledge EMNLP 2022
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon IJCNLP 2021
Improving RNN-T for Domain Scaling Using Semi-Supervised Training with Neural TTS INTERSPEECH 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks EMNLP 2021
Adding Chit-Chat to Enhance Task-Oriented Dialogues NAACL 2021
Continual Learning by Using Information of Each Class Holistically AAAI 2021
Predictive Adversarial Learning from Positive and Unlabeled Data AAAI 2021
Lifelong and Continual Learning Dialogue Systems: Learning during Conversation AAAI 2021
Continual Learning in Task-Oriented Dialogue Systems EMNLP 2021
Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks NAACL 2021
Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTracking NAACL 2021
Semantic Novelty Detection in Natural Language Descriptions EMNLP 2021
Zero-Shot Dialogue State Tracking via Cross-Task Transfer EMNLP 2021
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions EMNLP 2021
ActiveEA: Active Learning for Neural Entity Alignment EMNLP 2021
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon ACL 2021
Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification ACL 2021
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning NIPS 2021
BNS: Building Network Structures Dynamically for Continual Learning NIPS 2021
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models EACL 2021
Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification IJCNLP 2021
Transformation of Dense and Sparse Text Representations COLING 2020
HRN: A Holistic Approach to One Class Learning NIPS 2020
Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification ACL 2020
Feature Projection for Improved Text Classification ACL 2020
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis COLING 2020
Bayes-enhanced Lifelong Attention Networks for Sentiment Classification COLING 2020
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks NIPS 2020
Translation vs. Dialogue: A Comparative Analysis of Sequence-to-Sequence Modeling COLING 2020
User Memory Reasoning for Conversational Recommendation COLING 2020
Using the Past Knowledge to Improve Sentiment Classification EMNLP 2020
A Knowledge-Driven Approach to Classifying Object and Attribute Coreferences in Opinion Mining EMNLP 2020
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis EMNLP 2020
Controllable Text Generation with Focused Variation EMNLP 2020
Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation ICLR 2019
Modeling Multi-Action Policy for Task-Oriented Dialogues EMNLP 2019
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis NAACL 2019
Learning with Noisy Labels for Sentence-level Sentiment Classification IJCNLP 2019
Modeling Multi-Action Policy for Task-Oriented Dialogues IJCNLP 2019
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction ACL 2019
Forward and Backward Knowledge Transfer for Sentiment Classification ACML 2019
GSN: A Graph-Structured Network for Multi-Party Dialogues IJCAI 2019
Spectral Perturbation Meets Incomplete Multi-view Data IJCAI 2019
Learning with Noisy Labels for Sentence-level Sentiment Classification EMNLP 2019
An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection COLING 2018
Lifelong Domain Word Embedding via Meta-Learning IJCAI 2018
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction ACL 2018
Target-Sensitive Memory Networks for Aspect Sentiment Classification ACL 2018
Online Incremental Learning for Speaker-Adaptive Language Models INTERSPEECH 2018
Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems NAACL 2018
Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning NAACL 2018
End-to-End Learning of Task-Oriented Dialogs NAACL 2018
DOC: Deep Open Classification of Text Documents EMNLP 2017
Lifelong Learning CRF for Supervised Aspect Extraction ACL 2017
Context-aware Path Ranking for Knowledge Base Completion IJCAI 2017
Sentiment Lexicon Expansion Based on Neural PU Learning, Double Dictionary Lookup, and Polarity Association EMNLP 2017
An End-to-End Trainable Neural Network Model with Belief Tracking for Task-Oriented Dialog INTERSPEECH 2017
Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets EMNLP 2016
Breaking the Closed World Assumption in Text Classification NAACL 2016
Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling INTERSPEECH 2016
Lifelong Machine Learning for Natural Language Processing EMNLP 2016
Lifelong Learning for Sentiment Classification ACL 2015
Social Media Text Classification under Negative Covariate Shift EMNLP 2015
Lifelong Learning for Sentiment Classification IJCNLP 2015
Automated Rule Selection for Aspect Extraction in Opinion Mining IJCAI 2015
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data ICML 2014
Exploiting Social Relations and Sentiment for Stock Prediction EMNLP 2014
Tri-Training for Authorship Attribution with Limited Training Data ACL 2014
Aspect Extraction with Automated Prior Knowledge Learning ACL 2014
Review Topic Discovery with Phrases using the PΓ³lya Urn Model COLING 2014
Exploiting Topic based Twitter Sentiment for Stock Prediction ACL 2013
Discovering User Interactions in Ideological Discussions ACL 2013
Leveraging Multi-Domain Prior Knowledge in Topic Models IJCAI 2013
Identifying Intention Posts in Discussion Forums NAACL 2013
Identifying Multiple Userids of the Same Author EMNLP 2013
Public Dialogue: Analysis of Tolerance in Online Discussions ACL 2013
Exploiting Domain Knowledge in Aspect Extraction EMNLP 2013
A Dictionary-Based Approach to Identifying Aspects Implied by Adjectives for Opinion Mining COLING 2012
Analysis of Linguistic Style Accommodation in Online Debates COLING 2012
Modeling Review Comments ACL 2012
Aspect Extraction through Semi-Supervised Modeling ACL 2012
Extracting Resource Terms for Sentiment Analysis IJCNLP 2011
Identifying Noun Product Features that Imply Opinions ACL 2011
Extracting and Ranking Product Features in Opinion Documents COLING 2010
Distributional Similarity vs. PU Learning for Entity Set Expansion ACL 2010
Improving Gender Classification of Blog Authors EMNLP 2010
Negative Training Data Can be Harmful to Text Classification EMNLP 2010
Dependency-Driven Feature-based Learning for Extracting Protein-Protein Interactions from Biomedical Text COLING 2010
Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints COLING 2010
Resolving Object and Attribute Coreference in Opinion Mining COLING 2010
Sentiment Analysis of Conditional Sentences EMNLP 2009
Mining Opinions in Comparative Sentences COLING 2008