Jia Zhang
16 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (14)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(5)
🗃️
Keyword Collector
(83)
⚡
Prolific Year
(8)
💎
Century Club
(15)
🔥
Unstoppable
(5)
❓
The Questioner
Conferences
AAAI (3)
IJCAI (3)
ICLR (2)
ICML (2)
NAACL (2)
ACL (1)
AISTATS (1)
CONLL (1)
CVPR (1)
Top co-authors
Research topics
Keywords
text classification
(3)
natural language processing
(2)
large language model
(2)
partial differential equation
(2)
socioeconomic status
(2)
multi-label learning
(1)
source-free domain adaptation
(1)
federated learning
(1)
knowledge distillation
(1)
variance reduction
(1)
noisy label learning
(1)
topic modeling
(1)
robust classification
(1)
neural architecture search
(1)
global optimization
(1)
model robustness
(1)
instruction tuning
(1)
optimal control
(1)
neural network optimization
(1)
feature selection
(1)
Papers
Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding
AAAI 2026
D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning
IJCAI 2025
Bridging the Socioeconomic Gap in Education: A Hybrid AI and Human Annotation Approach
ACL 2025
Bridging the Socioeconomic Gap in Education: A Hybrid AI and Human Annotation Approach
CONLL 2025
Directional Label Diffusion Model for Learning from Noisy Labels
CVPR 2025
AI Assistant for Socioeconomic Empowerment Using Federated Learning
NAACL 2025
Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity
ICML 2025
PerfSeer: An Efficient and Accurate Deep Learning Models Performance Predictor
IJCAI 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
ICLR 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
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition
ICML 2023
Learning Physics-Informed Neural Networks without Stacked Back-propagation
AISTATS 2023
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model
NAACL 2022
Multi-label Feature Selection via Global Relevance and Redundancy Optimization
IJCAI 2020
Light Multi-Segment Activation for Model Compression
AAAI 2020