Jia Zhang
16 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (41) π Conference Polyglot Β· Silver π Renaissance Researcher (5)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(98)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(10)
Application Areas
(8)
Artificial Intelligence
(7)
Optimization & Theory
(7)
Core AI
(5)
Learning Types Β· Machine Learning
(5)
Architectures
(4)
Natural Language Processing
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Learning Paradigms
(2)
Models
(2)
Resources & Methods
(2)
Techniques
(2)
Keywords
partial differential equation
(2)
equivariant graph neural network
(2)
large language model
(2)
text classification
(2)
socioeconomic status
(2)
neural network
(2)
natural language processing
(1)
transfer learning
(1)
federated learning
(1)
model robustness
(1)
noisy label learning
(1)
knowledge distillation
(1)
source-free domain adaptation
(1)
topic modeling
(1)
feature selection
(1)
semi-supervised learning
(1)
neural network optimization
(1)
neural architecture search
(1)
instruction tuning
(1)
multi-label learning
(1)
Papers
CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention
CVPR 2026
Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding
AAAI 2026
AI Assistant for Socioeconomic Empowerment Using Federated Learning
NAACL 2025
Bridging the Socioeconomic Gap in Education: A Hybrid AI and Human Annotation Approach
CoNLL 2025
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning
IJCAI 2025
Directional Label Diffusion Model for Learning from Noisy Labels
CVPR 2025
Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity
ICML 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
ICLR 2025
PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor
IJCAI 2025
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
ICLR 2024
Which Is More Effective in Label Noise Cleaning, Correction or Filtering?
AAAI 2024
Learning Physics-Informed Neural Networks without Stacked Back-propagation
AISTATS 2023
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition
ICML 2023
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model
NAACL 2022
Light Multi-Segment Activation for Model Compression
AAAI 2020
Multi-label Feature Selection via Global Relevance and Redundancy Optimization
IJCAI 2020