Jialin Zhang
18 papers · 2015–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (7)
🏃
Academic Marathon
(10)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(7)
🔥
Unstoppable
(8)
💎
Century Club
(17)
⚡
Prolific Year
(5)
📈
Trend Setter
🗃️
Keyword Collector
(84)
Conferences
AAAI (7)
IJCAI (4)
ICML (3)
ACML (2)
ICLR (1)
NSDI (1)
Top co-authors
Research topics
Keywords
regret bound
(4)
regret minimization
(4)
online learning
(4)
approximation algorithm
(4)
combinatorial optimization
(3)
multi-armed bandit
(3)
neural architecture search
(2)
social network
(2)
influence maximization
(2)
graph representation
(2)
transfer learning
(2)
point cloud
(1)
few-shot learning
(1)
knowledge distillation
(1)
neuromorphic computing
(1)
adversarial learning
(1)
matrix decomposition
(1)
computer vision
(1)
game theory
(1)
reinforcement learning
(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
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets
AAAI 2023
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
ICML 2023
AIO-P: Expanding Neural Performance Predictors beyond Image Classification
AAAI 2023
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
AAAI 2023
Reparameterization through Spatial Gradient Scaling
ICLR 2023
SwarmMap: Scaling Up Real-time Collaborative Visual SLAM at the Edge
NSDI 2022
Online Influence Maximization with Node-Level Feedback Using Standard Offline Oracles
AAAI 2022
Bounded Memory Adversarial Bandits with Composite Anonymous Delayed Feedback
IJCAI 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