Liu, Tianci

11 publications

ICLR 2026 ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding David Ma, Huaqing Yuan, Xingjian Wang, Qianbo Zang, Tianci Liu, Xinyang He, Yanbin Wei, Jiawei Guo, Nijiahui, Zhenzhu Yang, Meng Cao, Shanghaoran Quan, Yizhi Li, Wangchunshu Zhou, Jiaheng Liu, Wenhao Huang, Ge Zhang, Shiwen Ni, Xiaojie Jin

UAI 2025 Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Tianci Liu, Tong Yang, Quan Zhang, Qi Lei

ICML 2025 Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao

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

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

NeurIPS 2024 FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao

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

ICLR 2024 Towards Poisoning Fair Representations Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao

ICML 2023 Optimization for Amortized Inverse Problems Tianci Liu, Tong Yang, Quan Zhang, Qi Lei

AAAI 2023 SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao

NeurIPSW 2021 PANOM: Automatic Hyper-Parameter Tuning for Inverse Problems Tianci Liu, Quan Zhang, Qi Lei