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Lijun Zhang

Nanjing University, National Key Laboratory for Novel Software Technology, China

26 papers at tracked venues · 23 at CORE A* · active 2024–2025

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Venues

NeurIPS ×11ICML ×8AAAI ×3IJCAI ×2COLT ×1WWW ×1

Frequent coauthors

Yibo Wang
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Wei Jiang
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Yuanyu Wan
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Wenhao Yang
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Quan Cheng
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Sifan Yang
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Chao Xu
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Ruidong Fan
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Sijia Chen
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Dingzhi Yu
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Langqi Liu
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Kunjal Panchal
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Papers

  1. Continuous Subspace Optimization for Continual Learning
    NeurIPS 2025 ·
    Quan Cheng
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  2. Dimension-Free Adaptive Subgradient Methods with Frequent Directions
    ICML 2025 ·
    Sifan Yang
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  3. On the Generalization of Feature Incremental Learning
    IJCAI 2025 ·
    Chao Xu
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  4. One-step Label Shift Adaptation via Robust Weight Estimation
    IJCAI 2025 ·
    Ruidong Fan
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  5. Revisiting Projection-Free Online Learning with Time-Varying Constraints
    AAAI 2025 ·
    Yibo Wang
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  6. SPACE: Noise Contrastive Estimation Stabilizes Self-Play Fine-Tuning for Large Language Models
    NeurIPS 2025 ·
    Yibo Wang
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  7. Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation
    AAAI 2025 ·
    Yibo Wang
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  8. Triplets Better Than Pairs: Towards Stable and Effective Self-Play Fine-Tuning for LLMs
    NeurIPS 2025 ·
    Yibo Wang
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  9. Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
    NeurIPS 2024 ·
    Wei Jiang
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  10. Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
    NeurIPS 2024 ·
    Sijia Chen
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  11. Attack-Resilient Image Watermarking Using Stable Diffusion
    NeurIPS 2024 · Lijun Zhang
  12. Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
    ICML 2024 ·
    Dingzhi Yu
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  13. Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction
    NeurIPS 2024 ·
    Wei Jiang
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  14. Efficient Stochastic Approximation of Minimax Excess Risk Optimization
    ICML 2024 · Lijun Zhang
  15. High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails
    ICML 2024 ·
    Langqi Liu
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  16. Improved Regret for Bandit Convex Optimization with Delayed Feedback
    NeurIPS 2024 ·
    Yuanyu Wan
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  17. Nearly Optimal Regret for Decentralized Online Convex Optimization
    COLT 2024 ·
    Yuanyu Wan
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  18. Non-stationary Online Convex Optimization with Arbitrary Delays
    ICML 2024 ·
    Yuanyu Wan
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  19. Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees
    AAAI 2024 ·
    Yibo Wang
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  20. Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning
    WWW 2024 ·
    Wenhao Yang
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  21. Online Composite Optimization Between Stochastic and Adversarial Environments
    NeurIPS 2024 ·
    Yibo Wang
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  22. Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization
    ICML 2024 ·
    Wei Jiang
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  23. Small-loss Adaptive Regret for Online Convex Optimization
    ICML 2024 ·
    Wenhao Yang
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  24. Thinking Forward: Memory-Efficient Federated Finetuning of Language Models
    NeurIPS 2024 ·
    Kunjal Panchal
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  25. To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO
    ICML 2024 ·
    Zi-Hao Qiu
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  26. Universal Online Convex Optimization with 1 Projection per Round
    NeurIPS 2024 ·
    Wenhao Yang
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