Flows Succeed Where GANs Fail: Lessons from Low-Dimensional Data. - Tianci Liu 003; Jeffrey Regier (CoRR, 2020)

Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks. - Daiwei Zhang; Tianci Liu 003; Jian Kang (CoRR, 2022)

COEP: Cascade Optimization for Inverse Problems with Entropy-Preserving Hyperparameter Tuning. - Tianci Liu 003; Tong Yang; Quan Zhang; Qi Lei (CoRR, 2022)

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. - Tianci Liu 003; Haoyu Wang 004; Yaqing Wang 001; Xiaoqian Wang 001; Lu Su 001; Jing Gao 004 (AAAI, 2023)

HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference. - Haoyu Wang 004; Yaqing Wang 001; Tianci Liu 003; Tuo Zhao; Jing Gao 004 (EMNLP (Findings), 2023)

Optimization for Amortized Inverse Problems. - Tianci Liu 003; Tong Yang; Quan Zhang; Qi Lei (ICML, 2023)

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning. - Haoyu Wang 004; Tianci Liu 003; Ruirui Li 002; Monica Xiao Cheng; Tuo Zhao; Jing Gao 004 (EMNLP, 2024)

Towards Poisoning Fair Representations. - Tianci Liu 003; Haoyu Wang 004; Feijie Wu; Hengtong Zhang; Pan Li 005; Lu Su 001; Jing Gao 004 (ICLR, 2024)

LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models. - Tianci Liu 003; Haoyu Wang 004; Shiyang Wang; Yu Cheng; Jing Gao 004 (ICML, 2024)

FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction. - Feijie Wu; Xingchen Wang; Yaqing Wang 001; Tianci Liu 003; Lu Su 001; Jing Gao 004 (NeurIPS, 2024)

Counterfactual Fairness by Combining Factual and Counterfactual Predictions. - Zeyu Zhou; Tianci Liu 003; Ruqi Bai; Jing Gao 004; Murat Kocaoglu; David I. Inouye (NeurIPS, 2024)

mmCLIP: Boosting mmWave-based Zero-shot HAR via Signal-Text Alignment. - Qiming Cao; Hongfei Xue; Tianci Liu 003; Xingchen Wang; Haoyu Wang 004; Xincheng Zhang; Lu Su 001 (SenSys, 2024)

Towards Efficient Heterogeneous Multi-Modal Federated Learning with Hierarchical Knowledge Disentanglement. - Xingchen Wang; Haoyu Wang 004; Feijie Wu; Tianci Liu 003; Qiming Cao; Lu Su 001 (SenSys, 2024)

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning. - Haoyu Wang 004; Tianci Liu 003; Tuo Zhao; Jing Gao 004 (CoRR, 2024)

NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models. - Yibo Zhong; Haoxiang Jiang; Lincan Li; Ryumei Nakada; Tianci Liu 003; Linjun Zhang; Huaxiu Yao; Haoyu Wang 004 (CoRR, 2024)

RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization. - Tianci Liu 003; Haoxiang Jiang; Tianze Wang; Ran Xu; Yue Yu; Linjun Zhang; Tuo Zhao; Haoyu Wang 004 (ACL (Findings), 2025)

Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. - Tianci Liu 003; Ruirui Li 002; Yunzhe Qi; Hui Liu 031; Xianfeng Tang; Tianqi Zheng; Qingyu Yin; Monica Xiao Cheng; Jun Huan; Haoyu Wang 004; Jing Gao 004 (ICLR, 2025)

RAM-Hand: Robust Acoustic Multi-Hand Pose Reconstruction Using a Microphone Array. - Shiyang Wang; Henglin Pu; Qiming Cao; Wenjun Jiang; Xingchen Wang; Tianci Liu 003; Zhengxin Jiang; Hongfei Xue; Lu Su 001 (SenSys, 2025)

Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection. - Tianci Liu 003; Tong Yang; Quan Zhang; Qi Lei (UAI, 2025)

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing. - Tianci Liu 003; Zihan Dong; Linjun Zhang; Haoyu Wang 004; Jing Gao 004 (CoRR, 2025)