Zhenghua Chen
17 papers · 2021–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π€
Dynamic Duo
(13)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(80)
Top co-authors
Research topics
Machine Learning
(14)
Deep Learning
(9)
Application Areas
(6)
Architectures
(6)
Learning Types Β· Deep Learning
(6)
Computer Vision
(5)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Data Science & Analytics
(4)
Analysis
(4)
Core Methods
(4)
Methods Β· Data Science & Analytics
(4)
Reinforcement Learning
(3)
Learning Paradigms
(3)
Methods Β· Reinforcement Learning
(3)
Keywords
self-supervised learning
(4)
adversarial learning
(2)
unsupervised domain adaptation
(2)
partial domain adaptation
(2)
unsupervised learning
(2)
temporal contrasting
(2)
multivariate time series
(2)
time series
(2)
negative transfer
(2)
time series representation learning
(2)
action recognition
(2)
domain adaptation
(2)
contrastive learning
(2)
spatial-temporal dependency
(2)
video domain adaptation
(2)
reinforcement learning
(2)
model compression
(2)
knowledge distillation
(2)
temporal sequence
(1)
human activity recognition
(1)
Papers
Light but Sharp: SlimSTAD for Real-Time Action Detection from Sensor Data
AAAI 2026
WiFi CSI Based Temporal Activity Detection via Dual Pyramid Network
AAAI 2025
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data
AAAI 2024
Graph-Aware Contrasting for Multivariate Time-Series Classification
AAAI 2024
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
NeurIPS 2024
Reinforced Cross-Domain Knowledge Distillation on Time Series Data
NeurIPS 2024
TSLANet: Rethinking Transformers for Time Series Representation Learning
ICML 2024
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation
ICCV 2023
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data
IJCAI 2023
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation
AAAI 2023
Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation
AAAI 2022
Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition
ECCV 2022
Deep Reinforcement Learning Boosted Partial Domain Adaptation
IJCAI 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
NeurIPS 2021
Partial Video Domain Adaptation With Partial Adversarial Temporal Attentive Network
ICCV 2021
Time-Series Representation Learning via Temporal and Contextual Contrasting
IJCAI 2021
Two-Stream Convolution Augmented Transformer for Human Activity Recognition
AAAI 2021