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Yada Zhu

22 papers at tracked venues · 18 at CORE A* · active 2024–2026

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Venues

ACL ×4ICLR ×3ICML ×3NeurIPS ×3SIGKDD ×3NAACL ×2AAAI ×1CIKM ×1EACL ×1ICDE ×1

Frequent coauthors

Zhining Liu
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Yuanchen Bei
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Jiaru Zou
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Xiaojie Guo
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Dongqi Fu
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Bing Zhang
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Shuaicheng Zhang
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Wei Fang
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Song Wang
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Junhong Lin
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Binchi Zhang
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Lecheng Zheng
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Papers

  1. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
    ACL 2026 ·
    Yuanchen Bei
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  2. RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking
    ACL 2026 ·
    Jiaru Zou
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  3. UniToolBench: A Benchmark for Tool-Augmented LLMs in Cross-Domain, Universal Task Automation
    EACL 2026 ·
    Xiaojie Guo
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  4. Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
    ICML 2025 ·
    Zhining Liu
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  5. CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
    NeurIPS 2025 ·
    Zhining Liu
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  6. ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method
    CIKM 2025 ·
    Dongqi Fu
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  7. Evaluating Large Language Models with Enterprise Benchmarks
    NAACL 2025 ·
    Bing Zhang
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  8. HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
    NeurIPS 2025 ·
    Shuaicheng Zhang
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  9. PLAY2PROMPT: Zero-shot Tool Instruction Optimization for LLM Agents via Tool Play
    ACL 2025 ·
    Wei Fang
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  10. Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
    ICLR 2025 ·
    Song Wang
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  11. When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark
    SIGKDD 2025 ·
    Junhong Lin
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  12. AIM: Attributing, Interpreting, Mitigating Data Unfairness
    SIGKDD 2024 ·
    Zhining Liu
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  13. Adversarial Attacks on Fairness of Graph Neural Networks
    ICLR 2024 ·
    Binchi Zhang
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  14. Class-Imbalanced Graph Learning without Class Rebalancing
    ICML 2024 ·
    Zhining Liu
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  15. Fairgen: Towards Fair Graph Generation
    ICDE 2024 ·
    Lecheng Zheng
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  16. Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
    ICML 2024 ·
    Asterios Tsiourvas
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  17. Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization
    SIGKDD 2024 ·
    Haohui Wang
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  18. Neural Active Learning Beyond Bandits
    ICLR 2024 ·
    Yikun Ban
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  19. Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
    NAACL 2024 ·
    Yue Zhou
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  20. Self-Specialization: Uncovering Latent Expertise within Large Language Models
    ACL 2024 ·
    Junmo Kang
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  21. Sterling: Synergistic Representation Learning on Bipartite Graphs
    AAAI 2024 ·
    Baoyu Jing
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  22. Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
    NeurIPS 2024 ·
    Katherine Tieu
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