Jialin Zhang
18 papers · 2015–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (44) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(92)
π
Trend Setter
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory
(10)
Learning Types Β· Machine Learning
(7)
Deep Learning
(6)
Mathematics & Optimization
(6)
Optimization
(6)
Artificial Intelligence
(5)
Core AI
(4)
Computer Science
(3)
Application Areas
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Applications
(2)
Architectures
(2)
Keywords
approximation algorithm
(4)
online learning
(4)
regret bound
(4)
regret minimization
(4)
combinatorial optimization
(3)
multi-armed bandit
(3)
social network
(2)
neural network optimization
(2)
contrastive learning
(2)
influence maximization
(2)
graph representation
(2)
neural architecture search
(2)
transfer learning
(2)
point cloud
(1)
voice conversion
(1)
few-shot learning
(1)
knowledge distillation
(1)
neuromorphic computing
(1)
adversarial learning
(1)
matrix decomposition
(1)
Papers
Improved Fully Dynamic Submodular Maximization Under Matroid Constraints
AAAI 2026
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising
AAAI 2025
On Learning Frequency-Instance Correlations by Model-Agnostic Training for Synthetic Speech Detection
ACML 2024
AIO-P: Expanding Neural Performance Predictors beyond Image Classification
AAAI 2023
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
ICML 2023
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
AAAI 2023
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets
AAAI 2023
Reparameterization through Spatial Gradient Scaling
ICLR 2023
Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback
IJCAI 2022
Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles
AAAI 2022
SwarmMap: Scaling Up Real-time Collaborative Visual SLAM at the Edge
NSDI 2022
Network Inference and Influence Maximization from Samples
ICML 2021
Optimization from Structured Samples for Coverage Functions
ICML 2020
Revisiting Online Quantum State Learning
AAAI 2020
Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation Ratio
IJCAI 2020
A Quantum-inspired Classical Algorithm for Separable Non-negative Matrix Factorization
IJCAI 2019
Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems
ACML 2018
Truthful Cake Cutting Mechanisms with Externalities: Do Not Make Them Care for Others Too Much!
IJCAI 2015