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Shaojie Tang

University at Buffalo, Department of Management Science and Systems, NY, USA

21 papers at tracked venues · 15 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-9261-5210 ↗Homepage ↗

Venues

AAAI ×4SIGKDD ×4EMNLP ×3ACM MM ×2ICML ×2NeurIPS ×2ECML-PKDD ×1ICWSM ×1IJCAI ×1WWW ×1

Frequent coauthors

Hang Zeng
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Jiayuan Zhang
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Jing Yuan
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Xinghao Wu
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Guogang Zhu
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Rui Zhang
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Shuli Zeng
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Kai Wang
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Wenkai Guo
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Wei Chen
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Sijia Zhang
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Yucheng Ding
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Papers

  1. Automated Annotation of Privacy Information in User Interactions with Large Language Models
    SIGKDD 2026 ·
    Hang Zeng
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  2. Learning to Optimize Job Shop Scheduling Under Structural Uncertainty
    AAAI 2026 ·
    Rui Zhang
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  3. Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition
    AAAI 2026 ·
    Shuli Zeng
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  4. The Power of Penalties: Negativity-Aware Incentives for High-Quality Crowdsourced Data Labeling
    WWW 2026 ·
    Kai Wang
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  5. Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation
    EMNLP 2025 ·
    Wenkai Guo
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  6. Causality Inspired Federated Learning for OOD Generalization
    ICML 2025 ·
    Jiayuan Zhang
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  7. DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models
    AAAI 2025 ·
    Wei Chen
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  8. Don't Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters
    ICML 2025 ·
    Sijia Zhang
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  9. Learning Submodular Sequencing from Samples
    ECML-PKDD 2025 ·
    Jing Yuan
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  10. Responsible RecSys by Design: Approximation Algorithms for Calibrated Recommendations with Sponsored Items
    ICWSM 2025 ·
    Jing Yuan
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  11. Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
    NeurIPS 2025 ·
    Xinghao Wu
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  12. BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks
    EMNLP 2024 ·
    Hang Zeng
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  13. Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition
    ACM MM 2024 ·
    Xinghao Wu
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  14. DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
    ACM MM 2024 ·
    Guogang Zhu
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  15. Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning
    SIGKDD 2024 ·
    Jiayuan Zhang
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  16. Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions
    SIGKDD 2024 ·
    Yucheng Ding
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  17. Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
    IJCAI 2024 ·
    Guogang Zhu
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  18. Fairness in Streaming Submodular Maximization Subject to a Knapsack Constraint
    SIGKDD 2024 ·
    Shuang Cui
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  19. Non-monotone Sequential Submodular Maximization
    AAAI 2024 · Shaojie Tang
  20. Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents
    EMNLP 2024 ·
    Zengqing Wu
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  21. Why Go Full? Elevating Federated Learning Through Partial Network Updates
    NeurIPS 2024 ·
    Haolin Wang
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