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Laks V. S. Lakshmanan

University of British Columbia, Department of Computer Science

23 papers at tracked venues · 19 at CORE A* · active 2024–2026

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Venues

SIGMOD ×4VLDB ×4ACL ×2CIKM ×2ICLR ×2SIGKDD ×2WWW ×2AAAI ×1EMNLP ×1ICDE ×1ICML ×1NAACL ×1

Frequent coauthors

Dujian Ding
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Ningyi Liao
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Bin Xiang
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Ganesh Jawahar
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Carrie Wang
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Xiangju Zhu
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Kaiqiang Yu
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Arkaprava Saha
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Farnoosh Hashemi
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Michael Simpson
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Yudong Niu
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Yuyang Liang
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Papers

  1. Corrigendum: A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness: [Experiments & Analysis]
    SIGMOD 2026 ·
    Ningyi Liao
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  2. On Efficient Approximate Aggregate Nearest Neighbor Queries over Learned Representations
    SIGMOD 2026 ·
    Carrie Wang
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  3. [Experiment, Analysis, and Benchmark] BEACON: A Benchmark for Efficient and Accurate Counting of Subgraphs
    ICDE 2026 ·
    Xiangju Zhu
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  4. A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
    SIGMOD 2025 ·
    Ningyi Liao
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  5. BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
    ICML 2025 ·
    Dujian Ding
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  6. Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach
    SIGMOD 2025 ·
    Kaiqiang Yu
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  7. Hyperparametric Influence Minimization: Feature-Driven Intervention Beyond Blocking
    SIGKDD 2025 ·
    Bin Xiang
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  8. Hyperparametric Robust and Dynamic Influence Maximization
    AAAI 2025 ·
    Arkaprava Saha
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  9. KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation
    CIKM 2025 ·
    Farnoosh Hashemi
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  10. OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
    ICLR 2025 ·
    Dujian Ding
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  11. On Influence Tail Bounds in Online Social Networks
    CIKM 2025 ·
    Michael Simpson
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  12. SANS: Efficient Densest Subgraph Discovery over Relational Graphs without Materialization
    WWW 2025 ·
    Yudong Niu
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  13. TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding
    WWW 2025 ·
    Yuyang Liang
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  14. ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries
    VLDB 2025 ·
    Keke Huang
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  15. Towards Fine-Grained Extraction of Scientific Claims from Heterogeneous Tables Using Large Language Models
    VLDB 2025 ·
    Daniele Bertillo
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  16. DetoxLLM: A Framework for Detoxification with Explanations
    EMNLP 2024 ·
    Md. Tawkat Islam Khondaker
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  17. DuRE: Dual Contrastive Self Training for Semi-Supervised Relation Extraction
    NAACL 2024 ·
    Yuxi Feng
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  18. Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint
    VLDB 2024 ·
    Yiqian Huang
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  19. Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
    ICLR 2024 ·
    Dujian Ding
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  20. In-depth Analysis of Densest Subgraph Discovery in a Unified Framework
    VLDB 2024 ·
    Yingli Zhou
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  21. LLM Performance Predictors are good initializers for Architecture Search
    ACL 2024 ·
    Ganesh Jawahar
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  22. Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
    ACL 2024 ·
    Ganesh Jawahar
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  23. Predicting Cascading Failures with a Hyperparametric Diffusion Model
    SIGKDD 2024 ·
    Bin Xiang
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