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Bo Liu

141 papers · 2010–2026 · 18 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 39 separate collaboration groups - the largest holds only 13% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Bo Liu?

17 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Qingshan Liu, Kaihua Zhang, Dimitris N. Metaxas 19 papers · 2017–2026 · CVPR, AAAI, WACV Hide ▲
DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models WACV 2026 Large Sign Language Models: Toward 3D American Sign Language Translation WACV 2026 Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation AAAI 2024 Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking CVPR 2023 Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition CVPR 2023 Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning ICCV 2023 Deep Transport Network for Unsupervised Video Object Segmentation ICCV 2021 DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance CVPR 2021 Oriented Object Detection in Aerial Images With Box Boundary-Aware Vectors WACV 2021 Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection CVPR 2020 Deep Object Co-Segmentation via Spatial-Semantic Network Modulation AAAI 2020 Dual Iterative Hard Thresholding JMLR 2020 Meta-Learning with Network Pruning ECCV 2020 Object-Guided Instance Segmentation for Biological Images AAAI 2020 Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons AAAI 2020 Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing CVPR 2019 Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019 Sharpen Focus: Learning With Attention Separability and Consistency ICCV 2019 Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization ICML 2017
22 papers whose co-authors appear nowhere else under this name
Safeguarding LLM Training at Scale: Online SDC Detection and Insights from 35 Million GPU Hours OSDI 2026 ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios ACL 2026 BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors ACL 2025 Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans MICCAI 2025 DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search ICLR 2025 FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation AAAI 2025 SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views MICCAI 2025 All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract) IJCAI 2024 Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values ICLR 2024 Data, Data Everywhere: A Guide for Pretraining Dataset Construction EMNLP 2024 From Past to Future: Rethinking Eligibility Traces AAAI 2024 MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling AAAI 2024 Hierarchical Spatio-Temporal Representation Learning for Gait Recognition ICCV 2023 Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce EMNLP 2023 EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine NeurIPS 2022 Sentence-aware Adversarial Meta-Learning for Few-Shot Text Classification COLING 2022 LRSC: Learning Representations for Subspace Clustering AAAI 2021 Towards Playing Full MOBA Games with Deep Reinforcement Learning NeurIPS 2020 Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature AAAI 2020 Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge ACL 2019 Deep Neural Networks for High Dimension, Low Sample Size Data IJCAI 2017 Image Feature Learning for Cold Start Problem in Display Advertising IJCAI 2015

Venues · all papers under this name

AAAI (25) CVPR (18) NeurIPS (16) ICCV (15) ACL (11) COLING (10) IJCAI (10) ECCV (6) WACV (5) MICCAI (5) ICML (5) EMNLP (5) ICLR (4) AISTATS (2) JMLR (1) NAACL (1) OSDI (1) ACML (1)