PPaperPicks

Laks V. S. Lakshmanan

University of British Columbia, Department of Computer Science

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

DBLP profile ↗ORCID 0000-0002-9775-4241 ↗Google Scholar ↗Homepage ↗

Venues

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

Frequent coauthors

Dujian Ding
×5
Xiaokui Xiao
×5
Reynold Cheng
×3
Bogdan Cautis
×3
Muhammad Abdul-Mageed
×3
Ningyi Liao
×2
Haoyu Liu
×2
Zulun Zhu
×2
Siqiang Luo
×2
Ankur Mallick
×2
Chi Wang
×2
Victor Rühle
×2

Papers

  1. Corrigendum: A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness: [Experiments & Analysis]
    SIGMOD 2026 ·
    Ningyi Liao
    ,
    Haoyu Liu
    ,
    Zulun Zhu
    ,
    Siqiang Luo
    , Laks V. S. Lakshmanan
  2. On Efficient Approximate Aggregate Nearest Neighbor Queries over Learned Representations
    SIGMOD 2026 ·
    Carrie Wang
    ,
    Sihem Amer-Yahia
    , Laks V. S. Lakshmanan,
    Reynold Cheng
  3. [Experiment, Analysis, and Benchmark] BEACON: A Benchmark for Efficient and Accurate Counting of Subgraphs
    ICDE 2026 ·
    Xiangju Zhu
    ,
    Mohammad Matin Najafi
    ,
    Chrysanthi Kosyfaki
    ,
    Xiaodong Li
    ,
    Reynold Cheng
    , Laks V. S. Lakshmanan
  4. A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness
    SIGMOD 2025 ·
    Ningyi Liao
    ,
    Haoyu Liu
    ,
    Zulun Zhu
    ,
    Siqiang Luo
    , Laks V. S. Lakshmanan
  5. BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
    ICML 2025 ·
    Dujian Ding
    ,
    Ankur Mallick
    ,
    Shaokun Zhang
    ,
    Chi Wang
    ,
    Daniel Madrigal
    ,
    Mirian del Carmen Hipolito Garcia
    ,
    Menglin Xia
    , Laks V. S. Lakshmanan,
    Qingyun Wu
    ,
    Victor Rühle
  6. Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach
    SIGMOD 2025 ·
    Kaiqiang Yu
    ,
    Kaixin Wang
    ,
    Cheng Long
    , Laks V. S. Lakshmanan,
    Reynold Cheng
  7. Hyperparametric Influence Minimization: Feature-Driven Intervention Beyond Blocking
    SIGKDD 2025 ·
    Bin Xiang
    ,
    Bogdan Cautis
    ,
    Xiaokui Xiao
    , Laks V. S. Lakshmanan
  8. Hyperparametric Robust and Dynamic Influence Maximization
    AAAI 2025 ·
    Arkaprava Saha
    ,
    Bogdan Cautis
    ,
    Xiaokui Xiao
    , Laks V. S. Lakshmanan
  9. KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation
    CIKM 2025 ·
    Farnoosh Hashemi
    , Laks V. S. Lakshmanan
  10. OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
    ICLR 2025 ·
    Dujian Ding
    ,
    Bicheng Xu
    , Laks V. S. Lakshmanan
  11. On Influence Tail Bounds in Online Social Networks
    CIKM 2025 ·
    Michael Simpson
    , Laks V. S. Lakshmanan,
    Venkatesh Srinivasan
    ,
    Alex Thomo
  12. SANS: Efficient Densest Subgraph Discovery over Relational Graphs without Materialization
    WWW 2025 ·
    Yudong Niu
    ,
    Yuchen Li
    ,
    Jiaxin Jiang
    , Laks V. S. Lakshmanan
  13. TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding
    WWW 2025 ·
    Yuyang Liang
    ,
    Yankai Chen
    ,
    Yixiang Fang
    , Laks V. S. Lakshmanan,
    Chenhao Ma
  14. ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries
    VLDB 2025 ·
    Keke Huang
    ,
    Yimin Shi
    ,
    Dujian Ding
    ,
    Yifei Li
    ,
    Yang Fei
    , Laks V. S. Lakshmanan,
    Xiaokui Xiao
  15. Towards Fine-Grained Extraction of Scientific Claims from Heterogeneous Tables Using Large Language Models
    VLDB 2025 ·
    Daniele Bertillo
    , Laks V. S. Lakshmanan,
    Paolo Merialdo
    ,
    Divesh Srivastava
  16. DetoxLLM: A Framework for Detoxification with Explanations
    EMNLP 2024 ·
    Md. Tawkat Islam Khondaker
    ,
    Muhammad Abdul-Mageed
    , Laks V. S. Lakshmanan
  17. DuRE: Dual Contrastive Self Training for Semi-Supervised Relation Extraction
    NAACL 2024 ·
    Yuxi Feng
    , Laks V. S. Lakshmanan
  18. Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint
    VLDB 2024 ·
    Yiqian Huang
    ,
    Shiqi Zhang
    , Laks V. S. Lakshmanan,
    Wenqing Lin
    ,
    Xiaokui Xiao
    ,
    Bo Tang
  19. Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
    ICLR 2024 ·
    Dujian Ding
    ,
    Ankur Mallick
    ,
    Chi Wang
    ,
    Robert Sim
    ,
    Subhabrata Mukherjee
    ,
    Victor Rühle
    , Laks V. S. Lakshmanan,
    Ahmed Hassan Awadallah
  20. In-depth Analysis of Densest Subgraph Discovery in a Unified Framework
    VLDB 2024 ·
    Yingli Zhou
    ,
    Qingshuo Guo
    ,
    Yi Yang
    ,
    Yixiang Fang
    ,
    Chenhao Ma
    , Laks V. S. Lakshmanan
  21. LLM Performance Predictors are good initializers for Architecture Search
    ACL 2024 ·
    Ganesh Jawahar
    ,
    Muhammad Abdul-Mageed
    , Laks V. S. Lakshmanan,
    Dujian Ding
  22. Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
    ACL 2024 ·
    Ganesh Jawahar
    ,
    Haichuan Yang
    ,
    Yunyang Xiong
    ,
    Zechun Liu
    ,
    Dilin Wang
    ,
    Fei Sun
    ,
    Meng Li
    ,
    Aasish Pappu
    ,
    Barlas Oguz
    ,
    Muhammad Abdul-Mageed
    , Laks V. S. Lakshmanan,
    Raghuraman Krishnamoorthi
    ,
    Vikas Chandra
  23. Predicting Cascading Failures with a Hyperparametric Diffusion Model
    SIGKDD 2024 ·
    Bin Xiang
    ,
    Bogdan Cautis
    ,
    Xiaokui Xiao
    ,
    Olga Mula
    ,
    Dusit Niyato
    , Laks V. S. Lakshmanan