Yan Li

Active3D: Active High-Fidelity 3D Reconstruction via Multi-Level Uncertainty Quantification AAAI 2026 RiemanLine: Riemannian Manifold Representation of 3D Lines for Factor Graph Optimization AAAI 2026 UniAPO: Unified Multimodal Automated Prompt Optimization AAAI 2026 EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection ACL 2026 Rethink Representation Learning for Questionnaire Data AAAI 2026 DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning AAAI 2026 Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control AAAI 2026 Latent State-Predictive Exploration for Deep Reinforcement Learning AAAI 2026 Manipulating the Mind’s Eye: A-SAGE, the Attention-Based Attack on ViT Explainability AAAI 2026 A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation EMNLP 2025 M2EIT: Multi-Domain Mixture of Experts for Robust Neural Inertial Tracking ICCV 2025 MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU NAACL 2025 LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application AAAI 2025 ChuLo: Chunk-Level Key Information Representation for Long Document Understanding ACL 2025 Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery MICCAI 2025 BILE: An Effective Behavior-based Latent Exploration Scheme for Deep Reinforcement Learning IJCAI 2025 A General Representation-Based Approach to Multi-Source Domain Adaptation ICML 2025 Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels ICLR 2025 AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment CVPR 2025 MUSE: Multi-Subject Unified Synthesis via Explicit Layout Semantic Expansion ICCV 2025 VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding IJCAI 2025 Efficient Diversity-based Experience Replay for Deep Reinforcement Learning IJCAI 2025 An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation MICCAI 2024 Drag Anything: Motion Control for Anything using Entity Representation ECCV 2024 A Unified and General Framework for Continual Learning ICLR 2024 Learning Multi-Dimensional Human Preference for Text-to-Image Generation CVPR 2024 Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning ECCV 2024 Cross-Domain Product Representation Learning for Rich-Content E-Commerce ICCV 2023 Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms NIPS 2023 Cross-view Semantic Alignment for Livestreaming Product Recognition ICCV 2023 Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction IJCAI 2022 Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement NIPS 2022 Neighborhood-Adaptive Structure Augmented Metric Learning AAAI 2022 A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data AAAI 2022 Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits ICLR 2022 Effects of Language Contact on Vowel Nasalization in Wenzhou and Rugao Dialects INTERSPEECH 2022 Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably AISTATS 2022 Adaptive Feature Discrimination and Denoising for Asymmetric Text Matching COLING 2022 Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL NIPS 2021 Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization AISTATS 2021 Web-based Platform for K-12 AI Education in China AAAI 2021 Query-Memory Re-Aggregation for Weakly-supervised Video Object Segmentation AAAI 2021 Deep Metric Learning with Self-Supervised Ranking AAAI 2021 Bilinear Graph Neural Network with Neighbor Interactions IJCAI 2020 TEA: Temporal Excitation and Aggregation for Action Recognition CVPR 2020 NAAGN: Noise-Aware Attention-Gated Network for Speech Enhancement INTERSPEECH 2020 Multi-Modality Cross Attention Network for Image and Sentence Matching CVPR 2020 PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms AAAI 2020 Implicit Bias of Gradient Descent based Adversarial Training on Separable Data ICLR 2020 Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks AAAI 2020 Deep Reinforcement Learning with Robust and Smooth Policy ICML 2020 Transductive Zero-Shot Learning via Visual Center Adaptation AAAI 2019 Few-Shot Image Recognition With Knowledge Transfer ICCV 2019 Transductive Zero-Shot Learning with Visual Structure Constraint NIPS 2019 Toward Understanding the Importance of Noise in Training Neural Networks ICML 2019 Discriminative Learning of Latent Features for Zero-Shot Recognition CVPR 2018 Non-convex Conditional Gradient Sliding ICML 2018 Gated Recurrent Unit Based Acoustic Modeling with Future Context INTERSPEECH 2018 A Lasso-based Sparse Knowledge Gradient Policy for Sequential Optimal Learning AISTATS 2016 Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction ICCV 2015 Face Video Retrieval With Image Query via Hashing Across Euclidean Space and Riemannian Manifold CVPR 2015