Zhining Liu

According to our database, Zhining Liu authored at least 33 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Flow Matching Meets Biology and Life Science: A Survey.

Zihao Li, Zhichen Zeng, Xiao Lin, Feihao Fang, Yanru Qu, Zhe Xu, Zhining Liu, Xuying Ning, Tianxin Wei, Ge Liu, Hanghang Tong, Jingrui He

CoRR, July, 2025

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

CoRR, May, 2025

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting.

Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong

CoRR, May, 2025

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data.

Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong

CoRR, May, 2025

MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models.

Xiao Lin, Zhining Liu, Ze Yang, Gaotang Li, Ruizhong Qiu, Shuke Wang, Hui Liu, Haotian Li, Sumit Keswani, Vishwa Pardeshi, Huijun Zhao, Wei Fan, Hanghang Tong

CoRR, May, 2025

ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method.

Dongqi Fu, Yada Zhu, Zhining Liu, Lecheng Zheng, Xiao Lin, Zihao Li, Liri Fang, Katherine Tieu, Onkar Bhardwaj, Kommy Weldemariam, Hanghang Tong, Hendrik F. Hamann, Jingrui He

CoRR, April, 2025

CATS: Mitigating Correlation Shift for Multivariate Time Series Classification.

Xiao Lin, Zhichen Zeng, Tianxin Wei, Zhining Liu, Yuzhong Chen, Hanghang Tong

CoRR, April, 2025

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 F. Hamann, Hanghang Tong, Jingrui He

CoRR, February, 2025

A Zero-Shot Generalization Framework for LLM-Driven Cross-Domain Sequential Recommendation.

Yunzhe Li, Junting Wang, Hari Sundaram, Zhining Liu

CoRR, January, 2025

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation.

Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence.

Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

THeGCN: Temporal Heterophilic Graph Convolutional Network.

Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Xiaoting Li, Zhe Xu, Zhichen Zeng, Zhining Liu, Hanghang Tong

CoRR, 2024

AdaRC: Mitigating Graph Structure Shifts during Test-Time.

Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He

CoRR, 2024

WAPITI: A Watermark for Finetuned Open-Source LLMs.

Lingjie Chen, Ruizhong Qiu, Siyu Yuan, Zhining Liu, Tianxin Wei, Hyunsik Yoo, Zhichen Zeng, Deqing Yang, Hanghang Tong

CoRR, 2024

Ensuring User-side Fairness in Dynamic Recommender Systems.

Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong

Proceedings of the ACM on Web Conference 2024, 2024

BackTime: Backdoor Attacks on Multivariate Time Series Forecasting.

Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AIM: Attributing, Interpreting, Mitigating Data Unfairness.

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Group Fairness via Group Consensus.

Eunice Chan, Zhining Liu, Ruizhong Qiu, Yuheng Zhang, Ross Maciejewski, Hanghang Tong

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Hierarchical Multi-Marginal Optimal Transport for Network Alignment.

Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Taming over-smoothing representation on heterophilic graphs.

Kai Guo, Xiaofeng Cao, Zhining Liu, Yi Chang

Inf. Sci., November, 2023

Ensuring User-side Fairness in Dynamic Recommender Systems.

Hyunsik Yoo, Zhichen Zeng, Jian Kang, Zhining Liu, David Zhou, Fei Wang, Eunice Chan, Hanghang Tong

CoRR, 2023

Topological Augmentation for Class-Imbalanced Node Classification.

Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

CoRR, 2023

Web-based Long-term Spine Treatment Outcome Forecasting.

Hangting Ye, Zhining Liu, Wei Cao, Amir M. Amiri, Jiang Bian, Yi Chang, Jon D. Lurie, Jim Weinstein, Tie-Yan Liu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

UADB: Unsupervised Anomaly Detection Booster.

Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning.

Zhepei Wei, Yue Wang, Jinnan Li, Zhining Liu, Erxin Yu, Yuan Tian, Xin Wang, Yi Chang

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis.

Dana Warmsley, Alex Waagen, Jiejun Xu, Zhining Liu, Hanghang Tong

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning.

Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

CoRR, 2021

IMBENS: Ensemble Class-imbalanced Learning in Python.

Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang

CoRR, 2021

2020

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.

Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Self-paced Ensemble for Highly Imbalanced Massive Data Classification.

Zhining Liu, Wei Cao, Zhifeng Gao, Jiang Bian, Hechang Chen, Yi Chang, Tie-Yan Liu

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2017

QUADO: An autonomous recharge system for quadcopter.

Zhining Liu, Zhi-hao Wang, David Leo, Xia-Qing Liu, Hong-Wei Zhao

Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017