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Bing Liu

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

Achievements

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+16 more ↓ πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird
🌍 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 (28) 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)

Papers

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