Shaojie Tang
22 papers · 2017–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Academic Marathon (8) π Conference Polyglot (9) π Cross-Pollinator (8)
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Conference Polyglot
(9)
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Academic Marathon
(8)
π§
Keyword Pioneer
π§¬
Topic Evolution
π₯
Mega-Team
(20)
ποΈ
Keyword Collector
(103)
β‘
Prolific Year
(5)
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Century Club
(20)
π₯
Unstoppable
(6)
β
The Questioner
(2)
Conferences
AAAI (6)
IJCAI (4)
EMNLP (3)
ICML (3)
NIPS (2)
COLT (1)
ICCV (1)
OSDI (1)
UAI (1)
Top co-authors
Keywords
federated learning
(6)
approximation algorithm
(3)
large language model
(2)
privacy preservation
(2)
submodular maximization
(2)
semi-supervised learning
(1)
robust optimization
(1)
model compression
(1)
nonconvex optimization
(1)
few-shot learning
(1)
probabilistic modeling
(1)
transfer learning
(1)
game theory
(1)
bayesian inference
(1)
differential privacy
(1)
knowledge transfer
(1)
attention mechanism
(1)
feature learning
(1)
convergence analysis
(1)
online advertising
(1)
Papers
Learning to Optimize Job Shop Scheduling Under Structural Uncertainty
AAAI 2026
Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition
AAAI 2026
Causality Inspired Federated Learning for OOD Generalization
ICML 2025
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models
AAAI 2025
Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation
EMNLP 2025
Donβt Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters
ICML 2025
Why Go Full? Elevating Federated Learning Through Partial Network Updates
NIPS 2024
BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks
EMNLP 2024
Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents
EMNLP 2024
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
IJCAI 2024
Non-monotone Sequential Submodular Maximization
AAAI 2024
Regularized online DR-submodular optimization
UAI 2023
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration
ICCV 2023
Fast and Provable Nonconvex Tensor RPCA
ICML 2022
Optimal Sampling Gaps for Adaptive Submodular Maximization
AAAI 2022
Improved Parallel Algorithm for Minimum Cost Submodular Cover Problem
COLT 2022
Federated Submodel Optimization for Hot and Cold Data Features
NIPS 2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
OSDI 2022
Toward Understanding the Influence of Individual Clients in Federated Learning
AAAI 2021
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
IJCAI 2020
Robust Advertisement Allocation
IJCAI 2017
No Time to Observe: Adaptive Influence Maximization with Partial Feedback
IJCAI 2017