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.
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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
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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