Lin Zhao
39 papers · 2007–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (19) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (14) π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(10)
πΊοΈ
Taxonomy Completionist
(71)
π§¬
Topic Evolution
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(152)
π
Trend Setter
π
Century Club
(37)
β‘
Prolific Year
(11)
π₯
Unstoppable
(7)
π
Conference Pioneer
Conferences
AAAI (8)
CVPR (5)
ACL (4)
NIPS (4)
ICCV (3)
ICML (3)
COLING (2)
MICCAI (2)
NAACL (2)
WACV (2)
EMNLP (1)
IJCAI (1)
SEMEVAL (1)
UAI (1)
Top co-authors
Keywords
contrastive learning
(4)
representation learning
(4)
vision-language model
(3)
finite-time analysis
(3)
sample complexity
(3)
human pose estimation
(3)
point cloud processing
(2)
diffusion model
(2)
object detection
(2)
prototype learning
(2)
fine-grained classification
(2)
multimodal learning
(2)
video generation
(2)
double q-learning
(2)
self-supervised learning
(2)
point cloud
(2)
linear quadratic regulator
(2)
scene understanding
(1)
information bottleneck
(1)
zero-shot learning
(1)
Papers
RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding
WACV 2026
Think before Go: Hierarchical Reasoning for Image-goal Navigation
ACL 2026
Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation
ACL 2026
DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework
CVPR 2025
Taming Diffusion for Dataset Distillation with High Representativeness
ICML 2025
Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation
AAAI 2025
FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection
AAAI 2025
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
AAAI 2025
Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection
AAAI 2025
Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization
ICML 2025
FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling
ICCV 2025
On the Convergence of Continuous Single-timescale Actor-critic
ICML 2025
Prototype-based Contrastive Learning with Stage-wise Progressive Augmentation for Self-Supervised Fine-Grained Learning
ICCV 2025
Adapting Vision Foundation Models for Real-time Ultrasound Image Segmentation
MICCAI 2025
An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing
CVPR 2024
Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction
NIPS 2024
SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation
AAAI 2024
TMFN: A Target-oriented Multi-grained Fusion Network for End-to-end Aspect-based Multimodal Sentiment Analysis
COLING 2024
Towards Learning a Generalist Model for Embodied Navigation
CVPR 2024
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
CVPR 2024
Global Optimality of Single-Timescale Actor-Critic under Continuous State-Action Space: A Study on Linear Quadratic Regulator
IJCAI 2024
Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping
MICCAI 2024
THInImg: Cross-Modal Steganography for Presenting Talking Heads in Images
WACV 2024
Finite-Time Analysis of Single-Timescale Actor-Critic
NIPS 2023
Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision
CVPR 2023
Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding
ACL 2023
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain
AAAI 2023
Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator
AAAI 2023
Deterministic policy gradient: Convergence analysis
UAI 2022
Deep Symmetric Network for Underexposed Image Enhancement With Recurrent Attentional Learning
ICCV 2021
Faster Non-asymptotic Convergence for Double Q-learning
NIPS 2021
Finite-Time Analysis for Double Q-learning
NIPS 2020
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
AAAI 2020
Structure-Infused Copy Mechanisms for Abstractive Summarization
COLING 2018
Improving Slot Filling in Spoken Language Understanding with Joint Pointer and Attention
ACL 2018
Using External Resources and Joint Learning for Bigram Weighting in ILP-Based Multi-Document Summarization
NAACL 2015
Improving Update Summarization via Supervised ILP and Sentence Reranking
NAACL 2015
Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees
EMNLP 2014
HIT: Web based Scoring Method for English Lexical Substitution
SEMEVAL 2007