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Yan Li

60 papers · 2015–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (15) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (285) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (52) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (8)

Conferences

AAAI (17) CVPR (6) ICCV (6) IJCAI (5) ICLR (4) ICML (4) NIPS (4) AISTATS (3) INTERSPEECH (3) ECCV (2) MICCAI (2) ACL (1) COLING (1) EMNLP (1) NAACL (1)

Top co-authors

Tuo Zhao (8) Yiming Wang (5) Leong Hou U (5) Kaiyan Zhao (5) Junge Zhang (4) Yongdong Zhang (4) Tingting Gao (3) Han Li (3) Caren Han (3) Enlu Zhou (3)

Keywords

multimodal learning (5) gradient descent (4) deep reinforcement learning (4) zero-shot learning (3) attention mechanism (3) sample efficiency (3) embedding space (3) diffusion model (3) large language model (3) cross-modal retrieval (3) multi-agent reinforcement learning (2) representation learning (2) riemannian manifold (2) semantic alignment (2) text-to-image generation (2) domain adaptation (2) 3d reconstruction (2) temporal modeling (2) non-convex optimization (2) transductive learning (2)

Papers

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
Rethink Representation Learning for Questionnaire Data AAAI 2026
UniAPO: Unified Multimodal Automated Prompt Optimization 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
Multimodal Imputation of Imaging-derived Phenotypes from Genomic and Blood-based Biomarkers Enhances Common Disease Discovery MICCAI 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
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
MUSE: Multi-Subject Unified Synthesis via Explicit Layout Semantic Expansion ICCV 2025
AlignMamba: Enhancing Multimodal Mamba with Local and Global Cross-modal Alignment CVPR 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
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning ECCV 2024
A Unified and General Framework for Continual Learning ICLR 2024
Drag Anything: Motion Control for Anything using Entity Representation ECCV 2024
Learning Multi-Dimensional Human Preference for Text-to-Image Generation CVPR 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
Effects of Language Contact on Vowel Nasalization in Wenzhou and Rugao Dialects INTERSPEECH 2022
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits ICLR 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
Multi-Modality Cross Attention Network for Image and Sentence Matching CVPR 2020
Deep Reinforcement Learning with Robust and Smooth Policy ICML 2020
Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks AAAI 2020
PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms AAAI 2020
TEA: Temporal Excitation and Aggregation for Action Recognition CVPR 2020
NAAGN: Noise-Aware Attention-Gated Network for Speech Enhancement INTERSPEECH 2020
Implicit Bias of Gradient Descent based Adversarial Training on Separable Data ICLR 2020
Bilinear Graph Neural Network with Neighbor Interactions IJCAI 2020
Transductive Zero-Shot Learning with Visual Structure Constraint NIPS 2019
Toward Understanding the Importance of Noise in Training Neural Networks ICML 2019
Transductive Zero-Shot Learning via Visual Center Adaptation AAAI 2019
Few-Shot Image Recognition With Knowledge Transfer ICCV 2019
Non-convex Conditional Gradient Sliding ICML 2018
Discriminative Learning of Latent Features for Zero-Shot Recognition CVPR 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