← Authors

Hong Liu

89 papers · 2016–2026 · 15 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (15) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (9) πŸ—ΊοΈ Taxonomy Completionist (132) 🏠 Conference Loyalist (21) 🀝 Dynamic Duo (17) πŸ† Grand Slam πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ”¬ Deep Specialist (11) πŸ’Ž Century Club (84) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) ⚑ Prolific Year (14) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (353)

Conferences

AAAI (26) CVPR (9) ICCV (8) IJCAI (7) INTERSPEECH (7) MICCAI (7) ECCV (5) ICLR (4) ICML (4) NIPS (4) EMNLP (3) NAACL (2) ACML (1) COLING (1) WACV (1)

Top co-authors

Rongrong Ji (17) Mengyuan Liu (8) Xiangdong Wang (8) Yongjian Wu (7) Liansheng Wang (6) Jianguo Mao (6) Nicu Sebe (5) Yefeng Zheng (5) Jie Li (5) Wenhao Li (5)

Research topics

Privacy (1)

Keywords

human pose estimation (5) person re-identification (5) multimodal learning (5) attention mechanism (5) domain adaptation (4) action recognition (4) temporal modeling (4) semantic segmentation (4) unsupervised learning (4) self-supervised learning (3) transfer learning (3) federated learning (3) 3d human pose estimation (3) transformer architecture (3) adversarial robustness (3) depth estimation (3) 3d vision (3) domain generalization (3) video understanding (3) diffusion model (3)

Papers

Masked Clustering Prediction for Unsupervised Point Cloud Pre-training AAAI 2026
Debiased Multiplex Tokenizer for Efficient Map-Free Visual Relocalization AAAI 2026
SimLabel: Similarity-Weighted Semi-supervision for Multi-annotator Learning with Missing Labels AAAI 2026
Listening Between the Frames: Bridging Temporal Gaps in Large Audio-Language Models AAAI 2026
QuMAB: Query-based Multi-annotator Behavior Pattern Learning AAAI 2026
GraphGPT: Generative Pre-trained Graph Eulerian Transformer ICML 2025
UST-SSM: Unified Spatio-Temporal State Space Models for Point Cloud Video Modeling ICCV 2025
Recognizing Actions from Robotic View for Natural Human-Robot Interaction ICCV 2025
TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation AAAI 2025
PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes AAAI 2025
SVTformer: Spatial-View-Temporal Transformer for Multi-View 3D Human Pose Estimation AAAI 2025
LiD-FL: Towards List-Decodable Federated Learning AAAI 2025
ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models AAAI 2025
RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation MICCAI 2025
PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting MICCAI 2025
Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation MICCAI 2025
DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation MICCAI 2025
Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models MICCAI 2025
Paladin: Understanding Video Intentions in Political Advertisement Videos WACV 2025
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search NAACL 2025
Audio Generation with Multiple Conditional Diffusion Model AAAI 2024
AMG-AVSR: Adaptive Modality Guidance for Audio-Visual Speech Recognition via Progressive Feature Enhancement ACML 2024
Position: Towards Implicit Prompt For Text-To-Image Models ICML 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images MICCAI 2024
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems ICLR 2024
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training ICLR 2024
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion NIPS 2024
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation AAAI 2024
Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation AAAI 2024
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers AAAI 2024
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets MICCAI 2024
Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation CVPR 2024
Leveraging Language Model Capabilities for Sound Event Detection INTERSPEECH 2024
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection CVPR 2023
Inferential Knowledge-Enhanced Integrated Reasoning for Video Question Answering AAAI 2023
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models ICML 2023
Knowledge-Retrieval Task-Oriented Dialog Systems with Semi-Supervision INTERSPEECH 2023
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities AAAI 2023
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation ICCV 2023
Exploring Energy-based Language Models with Different Architectures and Training Methods for Speech Recognition INTERSPEECH 2023
Learning Concordant Attention via Target-aware Alignment for Visible-Infrared Person Re-identification ICCV 2023
Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video ICCV 2023
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation AAAI 2023
Improving Adversarial Robustness via Information Bottleneck Distillation NIPS 2023
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation CVPR 2022
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition AAAI 2022
Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking AAAI 2022
Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer AAAI 2022
Hierarchical Representation-based Dynamic Reasoning Network for Biomedical Question Answering COLING 2022
Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack ECCV 2022
An Information Theoretic Approach for Attention-Driven Face Forgery Detection ECCV 2022
Explainable Question Answering based on Semantic Graph by Global Differentiable Learning and Dynamic Adaptive Reasoning EMNLP 2022
Information Extraction and Human-Robot Dialogue towards Real-life Tasks A Baseline Study with the MobileCS Dataset EMNLP 2022
A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems EMNLP 2022
Self-supervised Learning is More Robust to Dataset Imbalance ICLR 2022
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering NAACL 2022
Modality-aware Style Adaptation for RGB-Infrared Person Re-Identification IJCAI 2021
Adversarial Feature Disentanglement for Long-Term Person Re-identification IJCAI 2021
Towards Robustness Against Natural Language Word Substitutions ICLR 2021
Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning AAAI 2021
Cycle Self-Training for Domain Adaptation NIPS 2021
Domain General Face Forgery Detection by Learning to Weight AAAI 2021
Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition AAAI 2021
Lip Graph Assisted Audio-Visual Speech Recognition Using Bidirectional Synchronous Fusion INTERSPEECH 2020
Anti-Bandit Neural Architecture Search for Model Defense ECCV 2020
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation CVPR 2020
Learning to Adapt to Evolving Domains NIPS 2020
Unsupervised Monocular Visual-inertial Odometry Network IJCAI 2020
Projection & Probability-Driven Black-Box Attack CVPR 2020
API-Net: Robust Generative Classifier via a Single Discriminator ECCV 2020
Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers ICML 2019
Expectation-Maximization Attention Networks for Semantic Segmentation ICCV 2019
Universal Perturbation Attack Against Image Retrieval ICCV 2019
Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation ICCV 2019
Towards Visual Feature Translation CVPR 2019
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation CVPR 2019
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network AAAI 2019
Towards Optimal Discrete Online Hashing with Balanced Similarity AAAI 2019
Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering AAAI 2019
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation CVPR 2018
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining ECCV 2018
Multiple Concurrent Sound Source Tracking Based on Observation-Guided Adaptive Particle Filter INTERSPEECH 2018
Cross-Modality Binary Code Learning via Fusion Similarity Hashing CVPR 2017
Multiple Sound Source Counting and Localization Based on Spatial Principal Eigenvector INTERSPEECH 2017
3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector IJCAI 2016
Supervised Matrix Factorization for Cross-Modality Hashing IJCAI 2016
A Novel Feature Matching Strategy for Large Scale Image Retrieval IJCAI 2016
Multi-Channel Linear Prediction Based on Binaural Coherence for Speech Dereverberation INTERSPEECH 2016