Shaojie Tang
23 papers · 2017–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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🗺️ Taxonomy Completionist (43) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Machine Learning
(14)
Optimization & Theory
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Artificial Intelligence
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Mathematics & Optimization
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Learning Paradigms
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Optimization
(7)
Deep Learning
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Keywords
federated learning
(7)
approximation algorithm
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large language model
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submodular maximization
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approximation ratio
(2)
privacy preservation
(2)
prompt learning
(2)
pre-trained language model
(2)
semi-supervised learning
(1)
probabilistic modeling
(1)
robust optimization
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transfer learning
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game theory
(1)
bayesian inference
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model compression
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non-convex optimization
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knowledge transfer
(1)
few-shot learning
(1)
differential privacy
(1)
attention mechanism
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Papers
Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
CVPR 2026
Learning to Optimize Job Shop Scheduling Under Structural Uncertainty
AAAI 2026
Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition
AAAI 2026
Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation
EMNLP 2025
Causality Inspired Federated Learning for OOD Generalization
ICML 2025
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models
AAAI 2025
Don’t Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters
ICML 2025
BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks
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
Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents
EMNLP 2024
Why Go Full? Elevating Federated Learning Through Partial Network Updates
NeurIPS 2024
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration
ICCV 2023
Regularized online DR-submodular optimization
UAI 2023
Fast and Provable Nonconvex Tensor RPCA
ICML 2022
Federated Submodel Optimization for Hot and Cold Data Features
NeurIPS 2022
Improved Parallel Algorithm for Minimum Cost Submodular Cover Problem
COLT 2022
Optimal Sampling Gaps for Adaptive Submodular Maximization
AAAI 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
No Time to Observe: Adaptive Influence Maximization with Partial Feedback
IJCAI 2017
Robust Advertisement Allocation
IJCAI 2017