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ORCIDTianci Liu 0003
Person information
- affiliation: Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Tianci Liu 0001
![[0000-0002-4601-9554]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4601-9554")
— Chinese Academy of Sciences, Shenyang Institute of Automation, China - Tianci Liu 0002 — Tsinghua University, School of Software, TNLIST, Beijing, China
- Tianci Liu 0004 — Harbin Institute of Technology, Department of Information Engineering, China
- Tianci Liu 0005 — Beijing University of Post and Telecommunications, MOE Key Laboratory of Universal Wireless Communications, China
- Tianci Liu 0006 — Shandong First Medical University, Medical Engineering and Technology Research Center, China (and 1 more)
- Tianci Liu 0007 — Hohai University, College of Computer Science and Software Engineering, Nanjing, China
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2020 – today
- 2024
[c5]Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao:
Towards Poisoning Fair Representations. ICLR 2024- [c4]Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao:
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models. ICML 2024 - [i9]Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao:
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models. CoRR abs/2406.00548 (2024) - [i8]Haoyu Wang, Tianci Liu, Tuo Zhao, Jing Gao:
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning. CoRR abs/2406.10777 (2024) - [i7]Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao:
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction. CoRR abs/2407.19389 (2024) - [i6]Zeyu Zhou, Tianci Liu, Ruqi Bai, Jing Gao, Murat Kocaoglu, David I. Inouye:
Counterfactual Fairness by Combining Factual and Counterfactual Predictions. CoRR abs/2409.01977 (2024) - 2023
- [c3]Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao:
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. AAAI 2023: 14338-14346 - [c2]Haoyu Wang, Yaqing Wang, Tianci Liu, Tuo Zhao, Jing Gao:
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference. EMNLP (Findings) 2023: 4283-4294 - [c1]Tianci Liu, Tong Yang, Quan Zhang, Qi Lei:
Optimization for Amortized Inverse Problems. ICML 2023: 22289-22319 - [i5]Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao:
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. CoRR abs/2302.09683 (2023) - [i4]Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao:
Towards Poisoning Fair Representations. CoRR abs/2309.16487 (2023) - 2022
- [i3]Daiwei Zhang, Tianci Liu, Jian Kang:
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks. CoRR abs/2206.05643 (2022) - [i2]Tianci Liu, Tong Yang, Quan Zhang, Qi Lei:
COEP: Cascade Optimization for Inverse Problems with Entropy-Preserving Hyperparameter Tuning. CoRR abs/2210.13983 (2022) - 2020
- [i1]Tianci Liu, Jeffrey Regier:
Flows Succeed Where GANs Fail: Lessons from Low-Dimensional Data. CoRR abs/2006.10175 (2020)
Coauthor Index
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