publications

The most up-to-date list can be found on my Google Scholar.

2025

  1. ACL’25 Findings
    RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization
    Tianci Liu*, Haocheng Jiang*, Tianze Wang, and 5 more authors
    In Findings of the Association for Computational Linguistics: ACL 2025, 2025
  2. ICML’25
    Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
    Tianci Liu, Ruirui Li, Zihan Dong, and 6 more authors
    In The Fourty-Second International Conference on Machine Learning, 2025
  3. ICLR’25
    Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
    Tianci Liu, Ruirui Li, Yunzhe Qi, and 8 more authors
    In The Thirteenth International Conference on Learning Representations, 2025
  4. UAI’25
    Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
    Tianci Liu, Tong Yang, Quan Zhang, and 1 more author
    In The Fourty-First Conference on Uncertainty in Artificial Intelligence, 2025
  5. Sensys’25
    RAM-Hand: Robust Acoustic Multi-Hand Pose Reconstruction Using a Microphone Array
    Shiyang Wang, Henglin Pu, Qiming Cao, and 6 more authors
    In Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025
    Best Paper Award

2024

  1. ICML’24
    LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
    Tianci Liu, Haoyu Wang, Shiyang Wang, and 2 more authors
    In The Fourty-First International Conference on Machine Learning, 2024
    Spotlight Paper
  2. ICLR’24
    Towards Poisoning Fair Representations
    Tianci Liu, Haoyu Wang, Feijie Wu, and 4 more authors
    In The Twelfth International Conference on Learning Representations, 2024
  3. EMNLP’24
    RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
    Haoyu Wang, Tianci Liu, Ruirui Li, and 3 more authors
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
    Oral Paper
  4. NeurIPS’24
    Counterfactual Fairness by Combining Factual and Counterfactual Predictions
    Zeyu Zhou, Tianci Liu, Ruqi Bai, and 3 more authors
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
  5. NeurIPS’24
    FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction
    Feijie Wu, Xingchen Wang, Yaqing Wang, and 3 more authors
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
  6. Sensys’24
    Towards efficient heterogeneous multi-modal federated learning with hierarchical knowledge disentanglement
    Xingchen Wang, Haoyu Wang, Feijie Wu, and 3 more authors
    In Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024
  7. Sensys’24
    mmCLIP: Boosting mmWave-based Zero-shot HAR via Signal-Text Alignment
    Qiming Cao, Hongfei Xue, Tianci Liu, and 4 more authors
    In Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

2023

  1. AAAI’23
    Simfair: A unified framework for fairness-aware multi-label classification
    Tianci Liu, Haoyu Wang, Yaqing Wang, and 3 more authors
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2023
    Distinguished Paper Award
  2. ICML’23
    Optimization for amortized inverse problems
    Tianci Liu*, Tong Yang*, Quan Zhang, and 1 more author
    In The Fortieth International Conference on Machine Learning, 2023
  3. Stat
    Density regression and uncertainty quantification with Bayesian deep noise neural networks
    Daiwei Zhang, Tianci Liu, and Jian Kang
    Stat, 2023
  4. Sci. Rep.
    Physically informed machine-learning algorithms for the identification of two-dimensional atomic crystals
    Laura Zichi, Tianci Liu, Elizabeth Drueke, and 2 more authors
    Scientific Reports, 2023
  5. EMNLP’23 Findings
    Hadskip: Homotopic and adaptive layer skipping of pre-trained language models for efficient inference
    Haoyu Wang, Yaqing Wang, Tianci Liu, and 2 more authors
    In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

  1. Front. Psychol.
    Estimating three-and four-parameter MIRT models with importance-weighted sampling enhanced variational auto-encoder
    Tianci Liu, Chun Wang, and Gongjun Xu
    Frontiers in Psychology, 2022

2021

  1. NeurIPS DeepInverse
    PANOM: Automatic Hyper-parameter Tuning for Inverse Problems
    Tianci Liu, Quan Zhang, and Qi Lei
    In NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021
  2. NeurIPS BDL
    An Empirical Comparison of GANs and Normalizing Flows for Density Estimation
    Tianci Liu and Jeffrey Regier
    In Bayesian Deep Learning NeurIPS workshop, 2021