Publications

Publications & Preprints.

Google Scholar

2024

2024

  1. NeurIPS 2024
    Gradient Rewiring for Editable Graph Neural Network Training
    Zhimeng Jiang, Zirui Liu, Xiaotian Han, and 6 more authors
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
  2. EMNLP 2024
    In Defense of Structural Sparse Adapters for Concurrent LLM Serving
    Junda Su, Zirui Liu, Zeju Qiu, and 2 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024
  3. EMNLP 2024
    QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware
    Chuang Zhou, Junnan Dong, Xiao Huang, and 3 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024
  4. EMNLP 2024
    Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
    Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, and 8 more authors
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024
  5. EMNLP 2024
    KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches
    Jiayi Yuan, Hongyi Liu, Shaochen Zhong, and 9 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024
  6. ICML 2024
    Llm maybe longlm: Self-extend llm context window without tuning
    Hongye Jin, Xiaotian Han, Jingfeng Yang, and 5 more authors
    2024
  7. ICML 2024
    TVE: Learning Meta-attribution for Transferable Vision Explainer
    Guanchu Wang, Yu-Neng Chuang, Fan Yang, and 8 more authors
    In Forty-first International Conference on Machine Learning, 2024
  8. ICML 2024
    GNNs Also Deserve Editing, and They Need It More Than Once
    Shaochen Zhong, Duy Le, Zirui Liu, and 10 more authors
    In Forty-first International Conference on Machine Learning, 2024
  9. ICML 2024
    Knowledge Graphs Can be Learned with Just Intersection Features
    Duy Le, Shaochen Zhong, Zirui Liu, and 4 more authors
    In Proceedings of the 41st International Conference on Machine Learning, 21–27 jul 2024
  10. ICML 2024
    Soft Prompt Recovers Compressed LLMs, Transferably
    Zhaozhuo Xu*Zirui Liu*, Beidi Chen, and 6 more authors
    In Forty-first International Conference on Machine Learning, 21–27 jul 2024
  11. ICML 2024
    KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
    Zirui Liu*, Jiayi Yuan*, Hongye Jin, and 5 more authors
    21–27 jul 2024

2023

2023

  1. ICML 2023
    DIVISION: Memory Efficient Training via Dual Activation Precision
    Guanchu Wang, Zirui Liu, Zhimeng Jiang, and 3 more authors
    In International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 21–27 jul 2023
  2. NeurIPS 2023
    Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model
    Zirui Liu*, Guanchu Wang*, Shaochen Zhong, and 8 more authors
    In Thirty-seventh Conference on Neural Information Processing Systems, 21–27 jul 2023
  3. KDD-MLG
    Editable Graph Neural Network for Node Classifications
    Zirui Liu*, Zhimeng Jiang*, Shaochen Zhong, and 5 more authors
    In The 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining on Mining and Learning with Graphs Workshop, 21–27 jul 2023
  4. NeurIPS 2023
    Setting the Trap: Capturing and Defeating Backdoor Threats in PLMs through Honeypots
    Ruixiang Tang*, Jiayi Yuan*, Yiming Li, and 3 more authors
    In Thirty-seventh Conference on Neural Information Processing Systems, 21–27 jul 2023
  5. NeurIPS 2023
    One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning
    Shaochen Zhong, Zaichuan You, Jiamu Zhang, and 6 more authors
    In Thirty-seventh Conference on Neural Information Processing Systems, 21–27 jul 2023
  6. ICML 2023
    RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations
    Zirui Liu, Chen Shengyuan, Kaixiong Zhou, and 3 more authors
    In International Conference on Machine Learning, 21–27 jul 2023
  7. MLSys 2023
    Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models
    Daochen Zha, Louis Feng, Liang Luo, and 8 more authors
    Proceedings of Machine Learning and Systems, 21–27 jul 2023
  8. TMLR
    DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification
    Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, and 4 more authors
    Transactions on Machine Learning Research, 21–27 jul 2023
  9. TMLR
    Retiring δDP: New Distribution-Level Metrics for Demographic Parity
    Xiaotian Han, Zhimeng Jiang, Hongye Jin, and 4 more authors
    Transactions on Machine Learning Research, 21–27 jul 2023
  10. SDM
    Adaptive label smoothing to regularize large-scale graph training
    Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, and 5 more authors
    In Proceedings of the 2023 SIAM International Conference on Data Mining (SDM), 21–27 jul 2023

2022

2022

  1. NeurIPS
    Dreamshard: Generalizable embedding table placement for recommender systems
    Daochen Zha, Louis Feng, Qiaoyu Tan, and 6 more authors
    Advances in Neural Information Processing Systems, 21–27 jul 2022
  2. IJCAI
    Table2graph: Transforming tabular data to unified weighted graph
    Kaixiong Zhou, Zirui Liu, Rui Chen, and 3 more authors
    In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI, 21–27 jul 2022
  3. NeurIPS
    A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
    Keyu Duan, Zirui Liu, Peihao Wang, and 5 more authors
    In Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 21–27 jul 2022

2021

2021

  1. ICLR
    An information fusion approach to learning with instance-dependent label noise
    Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, and 4 more authors
    In International Conference on Learning Representations, 21–27 jul 2021
  2. ICLR
    EXACT: Scalable graph neural networks training via extreme activation compression
    Zirui Liu, Kaixiong Zhou, Fan Yang, and 3 more authors
    In International Conference on Learning Representations, 21–27 jul 2021
  3. WWW
    Mitigating gender bias in captioning systems
    Ruixiang Tang, Mengnan Du, Yuening Li, and 3 more authors
    In Proceedings of the Web Conference 2021, 21–27 jul 2021
  4. ICCV
    DivAug: Plug-in automated data augmentation with explicit diversity maximization
    Zirui Liu*, Haifeng Jin*, Ting-Hsiang Wang, and 2 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision, 21–27 jul 2021

2020

2020

  1. RecSys Demo
    Autorec: An automated recommender system
    Ting-Hsiang Wang, Xia Hu, Haifeng Jin, and 3 more authors
    In Proceedings of the 14th ACM Conference on Recommender Systems, 21–27 jul 2020
  2. NeurIPS
    Detecting interactions from neural networks via topological analysis
    Zirui Liu, Qingquan Song, Kaixiong Zhou, and 3 more authors
    Advances in Neural Information Processing Systems, 21–27 jul 2020

\(*\) equal contribution.