Tianci Liu

Orcid: 0000-0002-8396-8564

Affiliations:
  • Purdue University, West Lafayette, IN, USA


According to our database1, Tianci Liu authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
0
5
10
3
2
1
7
3

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models.
CoRR, 2024

FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction.
CoRR, 2024

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.
CoRR, 2024

Towards Efficient Heterogeneous Multi-Modal Federated Learning with Hierarchical Knowledge Disentanglement.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

mmCLIP: Boosting mmWave-based Zero-shot HAR via Signal-Text Alignment.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Counterfactual Fairness by Combining Factual and Counterfactual Predictions.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Poisoning Fair Representations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Optimization for Amortized Inverse Problems.
Proceedings of the International Conference on Machine Learning, 2023

HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
COEP: Cascade Optimization for Inverse Problems with Entropy-Preserving Hyperparameter Tuning.
CoRR, 2022

Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks.
CoRR, 2022

2020
Flows Succeed Where GANs Fail: Lessons from Low-Dimensional Data.
CoRR, 2020


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