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Hongfu Liu

31 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🐝 Cross-Pollinator (7) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (12) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (10)
πŸ—ΊοΈ Taxonomy Completionist (65) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🧬 Topic Evolution πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ”₯ Unstoppable (7) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (29) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (138)

Conferences

ICLR (5) ICML (5) CVPR (4) IJCAI (4) EMNLP (3) NIPS (3) AAAI (2) ACL (2) EACL (1) ICCV (1) INTERSPEECH (1)

Top co-authors

Peizhao Li (9) Ye Wang (9) Hengguan Huang (5) Hao Wang (4) Yun Fu (4) Zhengming Ding (4) Xiangming Gu (3) Prasant Mohapatra (3) Anshuman Chhabra (3) Jiuxiang Gu (3)

Keywords

large language model (4) representation learning (3) transfer learning (3) in-context learning (2) test-time adaptation (2) question answering (2) consensus partition (2) self-supervised learning (2) ensemble clustering (2) zero-shot learning (2) document analysis (2) graph classification (1) few-shot learning (1) object detection (1) k-means clustering (1) cluster analysis (1) semi-supervised learning (1) bayesian inference (1) information extraction (1) spectral clustering (1)

Papers

Unlocking Large Audio-Language Models for Interactive Language Learning EACL 2026 OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive AAAI 2026 On Calibration of LLM-based Guard Models for Reliable Content Moderation ICLR 2025 Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models ICML 2025 Category-Aware Active Domain Adaptation ICML 2024 "What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection ICLR 2024 Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models EMNLP 2024 Advancing Test-Time Adaptation in Wild Acoustic Test Settings EMNLP 2024 Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations ACL 2024 Benchmarking Large Language Models on Communicative Medical Coaching: A Dataset and a Novel System ACL 2024 Characterizing the Influence of Graph Elements ICLR 2023 Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning EMNLP 2023 Robust Fair Clustering: A Novel Fairness Attack and Defense Framework ICLR 2023 Learning Antidote Data to Individual Unfairness ICML 2023 Zero-Shot Automatic Pronunciation Assessment INTERSPEECH 2023 Label-invariant Augmentation for Semi-Supervised Graph Classification NIPS 2022 Achieving Fairness at No Utility Cost via Data Reweighing with Influence ICML 2022 Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation NIPS 2022 Exploiting Temporal Relations on Radar Perception for Autonomous Driving CVPR 2022 Implicit Semantic Response Alignment for Partial Domain Adaptation NIPS 2021 SelfDoc: Self-Supervised Document Representation Learning CVPR 2021 STRODE: Stochastic Boundary Ordinary Differential Equation ICML 2021 Towards Novel Target Discovery Through Open-Set Domain Adaptation ICCV 2021 On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections ICLR 2021 Deep Fair Clustering for Visual Learning CVPR 2020 Adversarial Graph Embedding for Ensemble Clustering IJCAI 2019 Marginalized Latent Semantic Encoder for Zero-Shot Learning CVPR 2019 Structured and Sparse Annotations for Image Emotion Distribution Learning AAAI 2019 From Ensemble Clustering to Multi-View Clustering IJCAI 2017 Incomplete Multi-Modal Visual Data Grouping IJCAI 2016 A Theoretic Framework of K-Means-Based Consensus Clustering IJCAI 2013