Liu, Zhining

16 publications

ICLR 2026 Continual Low-Rank Adapters for LLM-Based Generative Recommender Systems Hyunsik Yoo, Ting-Wei Li, SeongKu Kang, Zhining Liu, Charlie Xu, Qilin Qi, Hanghang Tong

ICLR 2026 Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik Hamann, Hanghang Tong, Jingrui He

ICLR 2026 PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment Qi Yu, Zhichen Zeng, Yuchen Yan, Zhining Liu, Baoyu Jing, Ruizhong Qiu, Ariful Azad, Hanghang Tong

ICLR 2026 Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs Zhining Liu, Ziyi Chen, Hui Liu, Chen Luo, Xianfeng Tang, Suhang Wang, Jingying Zeng, Zhenwei Dai, Zhan Shi, Tianxin Wei, Hanqing Lu, Benoit Dumoulin, Hanghang Tong

ICML 2025 Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong

NeurIPS 2025 CLIMB: Class-Imbalanced Learning Benchmark on Tabular Data Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong

ICLR 2025 Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He

NeurIPS 2024 BackTime: Backdoor Attacks on Multivariate Time Series Forecasting Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong

ICML 2024 Class-Imbalanced Graph Learning Without Class Rebalancing Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

ICML 2024 Graph Mixup on Approximate Gromov–Wasserstein Geodesics Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong

AAAI 2024 Hierarchical Multi-Marginal Optimal Transport for Network Alignment Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong

AAAI 2024 MoDE: A Mixture-of-Experts Model with Mutual Distillation Among the Experts Zhitian Xie, Yinger Zhang, Chenyi Zhuang, Qitao Shi, Zhining Liu, Jinjie Gu, Guannan Zhang

IJCAI 2023 GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System Xingyu Lu, Zhining Liu, Yanchu Guan, Hongxuan Zhang, Chenyi Zhuang, Wenqi Ma, Yize Tan, Jinjie Gu, Guannan Zhang

AAAI 2022 Imbalance-Aware Uplift Modeling for Observational Data Xuanying Chen, Zhining Liu, Li Yu, Liuyi Yao, Wenpeng Zhang, Yi Dong, Lihong Gu, Xiaodong Zeng, Yize Tan, Jinjie Gu

NeurIPS 2020 MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

AAAI 2020 Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk Zhining Liu, Dawei Zhou, Yada Zhu, Jinjie Gu, Jingrui He