Yang Lu
32 papers · 2014–2026 · 10 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Interdisciplinary Bridge π Conference Polyglot (10) πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Academic Marathon (11)
π
Academic Marathon
(11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(7)
π€
Dynamic Duo
(10)
π
Keyword Champion
(7)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(175)
π
Century Club
(28)
β‘
Prolific Year
(6)
π
Trend Setter
Conferences
AAAI (9)
CVPR (6)
ACL (3)
ICCV (3)
IJCAI (3)
NIPS (3)
INTERSPEECH (2)
ACML (1)
EMNLP (1)
ICML (1)
Top co-authors
Keywords
long-tailed distribution
(7)
federated learning
(5)
data heterogeneity
(4)
class imbalance
(4)
semantic segmentation
(3)
knowledge distillation
(3)
vision-language model
(2)
model compression
(2)
heterogeneous datum
(2)
label noise
(2)
contrastive divergence
(2)
energy-based model
(2)
online learning
(2)
feature fusion
(2)
prompt learning
(2)
speech analysis
(2)
feature embedding
(2)
natural language processing
(2)
parameter-efficient fine-tuning
(2)
visual prompt tuning
(2)
Papers
Target Refocusing via Attention Redistribution for Open-Vocabulary Semantic Segmentation: An Explainability Perspective
AAAI 2026
Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering
ACL 2026
Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering
AAAI 2026
Joint Implicit and Explicit Language Learning for Pedestrian Attribute Recognition
AAAI 2026
Wavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection
CVPR 2025
MaskViM: Domain Generalized Semantic Segmentation with State Space Models
AAAI 2025
Asynchronous Federated Clustering with Unknown Number of Clusters
AAAI 2025
Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models
ACL 2025
YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model
ACL 2025
Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
CVPR 2025
Transparent Reference-free Automated Evaluation of Open-Ended User Survey Responses
EMNLP 2025
PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation
ICCV 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data
ICCV 2025
Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation
NIPS 2024
Federated Learning with Extremely Noisy Clients via Negative Distillation
AAAI 2024
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
AAAI 2024
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
NIPS 2024
CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data
AAAI 2024
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
IJCAI 2024
Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation
CVPR 2023
Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping
AAAI 2023
Label-Noise Learning with Intrinsically Long-Tailed Data
ICCV 2023
Toward Corpus Size Requirements for Training and Evaluating Depression Risk Models Using Spoken Language
INTERSPEECH 2022
Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment
CVPR 2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
IJCAI 2022
Embedding Adaptation Network with Transformer for
Few-Shot Action Recognition
ACML 2022
Optimizing Speech-Input Length for Speaker-Independent Depression Classification
INTERSPEECH 2019
DeepPINK: reproducible feature selection in deep neural networks
NIPS 2018
Learning Generative ConvNets via Multi-Grid Modeling and Sampling
CVPR 2018
Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift
IJCAI 2017
A Theory of Generative ConvNet
ICML 2016
Online Object Tracking, Learning and Parsing with And-Or Graphs
CVPR 2014