Bo Liu

CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images AAAI 2026 DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models WACV 2026 DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering AAAI 2026 Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting AAAI 2026 TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution AAAI 2026 ProRec-Video: Guiding Hierarchical Interest Transitions for Proactive Short Video Recommendation with Dynamic Feedback Adaptation AAAI 2026 Large Sign Language Models: Toward 3D American Sign Language Translation WACV 2026 ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios ACL 2026 Don’t Be Misled by Style: A Style-Adaptive Reranker for Capturing Effective Knowledge in Retrieval-Augmented Generation ACL 2026 MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMs ACL 2026 PromptEmo: Learning Emotion with Bilateral Textual Prompts in Multi-Domain Open-set Scenarios AAAI 2026 Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval IJCAI 2025 SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization ICML 2025 Longhorn: State Space Models are Amortized Online Learners ICLR 2025 DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search ICLR 2025 Improving Rectified Flow with Boundary Conditions ICCV 2025 Layer-wise Vision Injection with Disentangled Attention for Efficient LVLMs ICCV 2025 GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis ICCV 2025 DCMKC: A Dual Consistency Matching Approach for Multi-hop Question Answering in LLMs EMNLP 2025 External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection AAAI 2025 CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training AAAI 2025 FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation AAAI 2025 SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning AAAI 2025 JI2S: Joint Influence‐Aware Instruction Data Selection for Efficient Fine‐Tuning EMNLP 2025 Differentiable Information Enhanced Model-Based Reinforcement Learning AAAI 2025 AMO Sampler: Enhancing Text Rendering with Overshooting CVPR 2025 Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network CVPR 2025 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 MAGRET: Machine-generated Text Detection with Rewritten Texts COLING 2025 Positive Text Reframing under Multi-strategy Optimization COLING 2025 Memory-Efficient Optimization with Factorized Hamiltonian Descent AISTATS 2025 SFPFR: Self-supervised Facial Paralysis Face Reconstruction Under Few Views MICCAI 2025 HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction MICCAI 2025 Clinical Prior Guided Cross-Modal Hierarchical Fusion for Histological Subtyping of Lung Cancer in CT Scans MICCAI 2025 VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection COLING 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 Depth-aware Test-Time Training for Zero-shot Video Object Segmentation CVPR 2024 Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology 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 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 When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks IJCAI 2024 All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract) IJCAI 2024 ABP: Asymmetric Bilateral Prompting for Text-guided Medical Image Segmentation MICCAI 2024 MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction MICCAI 2024 Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide 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 Scene-Aware Label Graph Learning for Multi-Label Image Classification ICCV 2023 Self-Supervised Image Local Forgery Detection by JPEG Compression Trace AAAI 2023 FAMO: Fast Adaptive Multitask Optimization NIPS 2023 Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition CVPR 2023 LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning NIPS 2023 TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection WACV 2023 Self-Supervised Sentence Polishing by Adding Engaging Modifiers ACL 2023 Towards LLM-driven Dialogue State Tracking EMNLP 2023 Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce EMNLP 2023 DLBD: A Self-Supervised Direct-Learned Binary Descriptor CVPR 2023 Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning AAAI 2023 Proactive Deepfake Defence via Identity Watermarking WACV 2023 Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking CVPR 2023 Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance ICCV 2023 Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning ICCV 2023 Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation IJCAI 2022 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning NIPS 2022 EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine NIPS 2022 Detecting Generated Images by Real Images ECCV 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach NIPS 2022 CORN: Co-Reasoning Network for Commonsense Question Answering COLING 2022 FF-Net: An End-to-end Feature-Fusion Network for Double JPEG Detection and Localization ACML 2022 Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition ECCV 2022 Sentence-aware Adversarial Meta-Learning for Few-Shot Text Classification COLING 2022 Noise Learning for Text Classification: A Benchmark COLING 2022 Oriented Object Detection in Aerial Images With Box Boundary-Aware Vectors WACV 2021 Out-of-Distribution Intent Detection with Self-Supervision and Discriminative Training IJCNLP 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 Machine versus Human Attention in Deep Reinforcement Learning Tasks NIPS 2021 Conflict-Averse Gradient Descent for Multi-task learning NIPS 2021 Neural Auto-Curricula in Two-Player Zero-Sum Games NIPS 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 Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning AAAI 2021 LRSC: Learning Representations for Subspace Clustering AAAI 2021 Out-of-Distribution Intent Detection with Self-Supervision and Discriminative Training ACL 2021 Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition ICML 2021 Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training ACL 2021 DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs IJCAI 2020 SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection ECCV 2020 Meta-Learning with Network Pruning ECCV 2020 Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks NIPS 2020 Deep Object Co-Segmentation via Spatial-Semantic Network Modulation AAAI 2020 Object-Guided Instance Segmentation for Biological Images AAAI 2020 GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values ICML 2020 Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation ICML 2020 Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature AAAI 2020 Human Gaze Assisted Artificial Intelligence: A Review IJCAI 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning NIPS 2020 Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons AAAI 2020 Dual Iterative Hard Thresholding JMLR 2020 An Industry Evaluation of Embedding-based Entity Alignment COLING 2020 Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition CVPR 2020 Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection CVPR 2020 Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020 Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge ACL 2019 Sharpen Focus: Learning With Attention Separability and Consistency ICCV 2019 Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019 Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing CVPR 2019 Logic-Based Sequential Decision-Making AAAI 2019 SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning AAAI 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 Bayesian Model Adaptation for Crowd Counts ICCV 2015 Image Feature Learning for Cold Start Problem in Display Advertising IJCAI 2015 Regularized Off-Policy TD-Learning NIPS 2012 Basis Construction from Power Series Expansions of Value Functions NIPS 2010