← Authors

Bo Liu

137 papers · 2010–2026 · 18 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (16) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (26) 🌍 Conference Polyglot (18) 🏠 Conference Loyalist (25) 🀝 Dynamic Duo (16) πŸ† Keyword Champion πŸ† Grand Slam πŸ”¬ Deep Specialist (14) πŸ—ƒοΈ Keyword Collector (74) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (12) ⚑ Prolific Year (15) ❓ The Questioner (2) πŸ’Ž Century Club (129) πŸ“ˆ Trend Setter

Conferences

AAAI (25) NIPS (16) CVPR (15) ICCV (15) COLING (10) IJCAI (10) ACL (9) ECCV (6) WACV (5) MICCAI (5) ICML (5) EMNLP (5) ICLR (4) IJCNLP (2) AISTATS (2) JMLR (1) NAACL (1) ACML (1)

Top co-authors

Qiang Liu (16) Xiao-ming Wu (11) Qingshan Liu (10) Xiuli Bi (10) Peter Stone (9) Bin Xiao (9) Kaihua Zhang (8) Jiuxin Cao (8) Nuno Vasconcelos (8) Li-Ming Zhan (8)

Research topics

Privacy (1)

Keywords

self-supervised learning (7) large language model (7) multimodal learning (6) attention mechanism (6) neural network (6) feature extraction (6) out-of-distribution detection (6) dialogue system (5) diffusion model (5) text generation (5) reinforcement learning (5) contrastive learning (5) semantic segmentation (5) domain adaptation (4) unsupervised learning (4) representation learning (4) data augmentation (4) continual learning (4) transfer learning (4) zero-shot learning (4)

Papers

PromptEmo: Learning Emotion with Bilateral Textual Prompts in Multi-Domain Open-set Scenarios AAAI 2026
CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images AAAI 2026
Large Sign Language Models: Toward 3D American Sign Language Translation WACV 2026
DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models WACV 2026
TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution AAAI 2026
Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting AAAI 2026
ProRec-Video: Guiding Hierarchical Interest Transitions for Proactive Short Video Recommendation with Dynamic Feedback Adaptation AAAI 2026
DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering AAAI 2026
PsyAdvisor: A Plug-and-Play Strategy Advice Planner with Proactive Questioning in Psychological Conversations ACL 2025
BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors ACL 2025
Memory-Efficient Optimization with Factorized Hamiltonian Descent AISTATS 2025
HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction MICCAI 2025
DCMKC: A Dual Consistency Matching Approach for Multi-hop Question Answering in LLMs EMNLP 2025
JI2S: Joint Influence‐Aware Instruction Data Selection for Efficient Fine‐Tuning EMNLP 2025
SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization ICML 2025
Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval IJCAI 2025
MAGRET: Machine-generated Text Detection with Rewritten Texts COLING 2025
Positive Text Reframing under Multi-strategy Optimization COLING 2025
AMO Sampler: Enhancing Text Rendering with Overshooting CVPR 2025
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis ICCV 2025
Layer-wise Vision Injection with Disentangled Attention for Efficient LVLMs ICCV 2025
Improving Rectified Flow with Boundary Conditions ICCV 2025
External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection AAAI 2025
FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation AAAI 2025
CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training AAAI 2025
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning AAAI 2025
Differentiable Information Enhanced Model-Based Reinforcement Learning AAAI 2025
SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views MICCAI 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
Longhorn: State Space Models are Amortized Online Learners ICLR 2025
Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network CVPR 2025
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology CVPR 2024
Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts ICLR 2024
Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values ICLR 2024
Communication Efficient Distributed Training with Distributed Lion NIPS 2024
Memory-Efficient LLM Training with Online Subspace Descent NIPS 2024
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies NIPS 2024
Focus Stacking with High Fidelity and Superior Visual Effects AAAI 2024
Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation AAAI 2024
MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling AAAI 2024
From Past to Future: Rethinking Eligibility Traces AAAI 2024
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation ACL 2024
EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs ACL 2024
Continual Dialogue State Tracking via Reason-of-Select Distillation ACL 2024
CEPT: A Contrast-Enhanced Prompt-Tuning Framework for Emotion Recognition in Conversation COLING 2024
EDDA: An Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection COLING 2024
How Good Are LLMs at Out-of-Distribution Detection? COLING 2024
VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection COLING 2024
MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction MICCAI 2024
ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation MICCAI 2024
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract) IJCAI 2024
When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks IJCAI 2024
Depth-aware Test-Time Training for Zero-shot Video Object Segmentation CVPR 2024
Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping CVPR 2024
Towards Surveillance Video-and-Language Understanding: New Dataset Baselines and Challenges CVPR 2024
UGG: Unified Generative Grasping ECCV 2024
Using My Artistic Style? You Must Obtain My Authorization ECCV 2024
Data, Data Everywhere: A Guide for Pretraining Dataset Construction EMNLP 2024
DLBD: A Self-Supervised Direct-Learned Binary Descriptor CVPR 2023
Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning ICCV 2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning NIPS 2023
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification ICCV 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance ICCV 2023
Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning AAAI 2023
Self-Supervised Image Local Forgery Detection by JPEG Compression Trace AAAI 2023
Towards LLM-driven Dialogue State Tracking EMNLP 2023
Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce EMNLP 2023
TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection WACV 2023
FAMO: Fast Adaptive Multitask Optimization NIPS 2023
Scene-Aware Label Graph Learning for Multi-Label Image Classification ICCV 2023
Hierarchical Spatio-Temporal Representation Learning for Gait Recognition ICCV 2023
Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability ICCV 2023
Proactive Deepfake Defence via Identity Watermarking WACV 2023
Self-Supervised Sentence Polishing by Adding Engaging Modifiers ACL 2023
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking CVPR 2023
Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition CVPR 2023
FF-Net: An End-to-end Feature-Fusion Network for Double JPEG Detection and Localization ACML 2022
Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation IJCAI 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NIPS 2022
CORN: Co-Reasoning Network for Commonsense Question Answering COLING 2022
Noise Learning for Text Classification: A Benchmark COLING 2022
Sentence-aware Adversarial Meta-Learning for Few-Shot Text Classification COLING 2022
Detecting Generated Images by Real Images ECCV 2022
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition ECCV 2022
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach NIPS 2022
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine NIPS 2022
Out-of-Distribution Intent Detection with Self-Supervision and Discriminative Training IJCNLP 2021
Neural Auto-Curricula in Two-Player Zero-Sum Games NIPS 2021
Conflict-Averse Gradient Descent for Multi-task learning NIPS 2021
Machine versus Human Attention in Deep Reinforcement Learning Tasks NIPS 2021
LRSC: Learning Representations for Subspace Clustering AAAI 2021
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training ACL 2021
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance CVPR 2021
Deep Transport Network for Unsupervised Video Object Segmentation ICCV 2021
Personalized and Invertible Face De-Identification by Disentangled Identity Information Manipulation ICCV 2021
GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition ICCV 2021
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning ICCV 2021
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition ICML 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training IJCNLP 2021
A Three-step Method for Multi-Hop Inference Explanation Regeneration NAACL 2021
Oriented Object Detection in Aerial Images With Box Boundary-Aware Vectors WACV 2021
Out-of-Distribution Intent Detection with Self-Supervision and Discriminative Training ACL 2021
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation ICML 2020
Meta-Learning with Network Pruning ECCV 2020
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs IJCAI 2020
Human Gaze Assisted Artificial Intelligence: A Review IJCAI 2020
SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection ECCV 2020
Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020
Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection CVPR 2020
Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition CVPR 2020
Dual Iterative Hard Thresholding JMLR 2020
An Industry Evaluation of Embedding-based Entity Alignment COLING 2020
Deep Object Co-Segmentation via Spatial-Semantic Network Modulation AAAI 2020
Object-Guided Instance Segmentation for Biological Images AAAI 2020
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature AAAI 2020
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons AAAI 2020
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks NIPS 2020
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values ICML 2020
Towards Playing Full MOBA Games with Deep Reinforcement Learning NIPS 2020
Logic-Based Sequential Decision-Making AAAI 2019
Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge ACL 2019
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning AAAI 2019
Sharpen Focus: Learning With Attention Separability and Consistency ICCV 2019
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
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization NIPS 2018
Feature Space Transfer for Data Augmentation CVPR 2018
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making IJCAI 2018
Deep Neural Networks for High Dimension, Low Sample Size Data IJCAI 2017
Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization ICML 2017
Proximal Gradient Temporal Difference Learning Algorithms IJCAI 2016
Image Feature Learning for Cold Start Problem in Display Advertising IJCAI 2015
Bayesian Model Adaptation for Crowd Counts ICCV 2015
Regularized Off-Policy TD-Learning NIPS 2012
Basis Construction from Power Series Expansions of Value Functions NIPS 2010