QUADO: An autonomous recharge system for quadcopter. - Zhining Liu 002; Zhi-hao Wang; David Leo; Xia-Qing Liu; Hong-Wei Zhao (CIS/RAM, 2017)

Self-paced Ensemble for Highly Imbalanced Massive Data Classification. - Zhining Liu 002; Wei Cao 007; Zhifeng Gao; Jiang Bian 002; Hechang Chen; Yi Chang 001; Tie-Yan Liu (ICDE, 2020)

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. - Zhining Liu 002; Pengfei Wei 001; Jing Jiang 002; Wei Cao 007; Jiang Bian 002; Yi Chang 001 (NeurIPS, 2020)

IMBENS: Ensemble Class-imbalanced Learning in Python. - Zhining Liu 002; Zhepei Wei; Erxin Yu; Qiang Huang; Kai Guo 003; Boyang Yu; Zhaonian Cai; Hangting Ye; Wei Cao 007; Jiang Bian 002; Pengfei Wei 001; Jing Jiang 002; et al. (CoRR, 2021)

Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning. - Zhining Liu 002; Pengfei Wei 001; Zhepei Wei; Boyang Yu; Jing Jiang 002; Wei Cao 007; Jiang Bian 002; Yi Chang 001 (CoRR, 2021)

A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. - Dana Warmsley; Alex Waagen; Jiejun Xu; Zhining Liu 002; Hanghang Tong (IEEE Big Data, 2022)

Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning. - Zhepei Wei; Yue Wang 035; Jinnan Li; Zhining Liu 002; Erxin Yu; Yuan Tian 016; Xin Wang 035; Yi Chang 001 (AACL/IJCNLP (1), 2022)

UADB: Unsupervised Anomaly Detection Booster. - Hangting Ye; Zhining Liu 002; Xinyi Shen; Wei Cao 007; Shun Zheng 001; Xiaofan Gui; Huishuai Zhang; Yi Chang 001; Jiang Bian 002 (ICDE, 2023)

Web-based Long-term Spine Treatment Outcome Forecasting. - Hangting Ye; Zhining Liu 002; Wei Cao 007; Amir M. Amiri; Jiang Bian 002; Yi Chang 001; Jon D. Lurie; Jim Weinstein; Tie-Yan Liu (KDD, 2023)

Topological Augmentation for Class-Imbalanced Node Classification. - Zhining Liu 002; Zhichen Zeng 001; Ruizhong Qiu; Hyunsik Yoo; David Zhou; Zhe Xu 007; Yada Zhu; Kommy Weldemariam; Jingrui He; Hanghang Tong (CoRR, 2023)

Ensuring User-side Fairness in Dynamic Recommender Systems. - Hyunsik Yoo; Zhichen Zeng 001; Jian Kang 008; Zhining Liu 002; David Zhou; Fei Wang 065; Eunice Chan; Hanghang Tong (CoRR, 2023)

Taming over-smoothing representation on heterophilic graphs. - Kai Guo 003; Xiaofeng Cao 002; Zhining Liu 002; Yi Chang 001 (Inf. Sci., 2023)

Hierarchical Multi-Marginal Optimal Transport for Network Alignment. - Zhichen Zeng 001; Boxin Du; Si Zhang; Yinglong Xia; Zhining Liu 002; Hanghang Tong (AAAI, 2024)

Group Fairness via Group Consensus. - Eunice Chan; Zhining Liu 002; Ruizhong Qiu; Yuheng Zhang; Ross Maciejewski; Hanghang Tong (FAccT, 2024)

Class-Imbalanced Graph Learning without Class Rebalancing. - Zhining Liu 002; Ruizhong Qiu; Zhichen Zeng 001; Hyunsik Yoo; David Zhou; Zhe Xu 007; Yada Zhu; Kommy Weldemariam; Jingrui He; Hanghang Tong (ICML, 2024)

Graph Mixup on Approximate Gromov-Wasserstein Geodesics. - Zhichen Zeng 001; Ruizhong Qiu; Zhe Xu 007; Zhining Liu 002; Yuchen Yan; Tianxin Wei; Lei Ying 001; Jingrui He; Hanghang Tong (ICML, 2024)

AIM: Attributing, Interpreting, Mitigating Data Unfairness. - Zhining Liu 002; Ruizhong Qiu; Zhichen Zeng 001; Yada Zhu; Hendrik F. Hamann; Hanghang Tong (KDD, 2024)

BackTime: Backdoor Attacks on Multivariate Time Series Forecasting. - Xiao Lin; Zhining Liu 002; Dongqi Fu; Ruizhong Qiu; Hanghang Tong (NeurIPS, 2024)

Ensuring User-side Fairness in Dynamic Recommender Systems. - Hyunsik Yoo; Zhichen Zeng 001; Jian Kang 008; Ruizhong Qiu; David Zhou; Zhining Liu 002; Fei Wang 065; Charlie Xu; Eunice Chan; Hanghang Tong (WWW, 2024)

WAPITI: A Watermark for Finetuned Open-Source LLMs. - Lingjie Chen; Ruizhong Qiu; Siyu Yuan; Zhining Liu 002; Tianxin Wei; Hyunsik Yoo; Zhichen Zeng 001; Deqing Yang; Hanghang Tong (CoRR, 2024)

AdaRC: Mitigating Graph Structure Shifts during Test-Time. - Wenxuan Bao; Zhichen Zeng 001; Zhining Liu 002; Hanghang Tong; Jingrui He (CoRR, 2024)

THeGCN: Temporal Heterophilic Graph Convolutional Network. - Yuchen Yan; Yuzhong Chen; Huiyuan Chen; Xiaoting Li 001; Zhe Xu 007; Zhichen Zeng 001; Zhining Liu 002; Hanghang Tong (CoRR, 2024)

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence. - Zhining Liu 002; Rana Ali Amjad; Ravinarayana Adkathimar; Tianxin Wei; Hanghang Tong (ACL (1), 2025)

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation. - Wenxuan Bao; Zhichen Zeng 001; Zhining Liu 002; Hanghang Tong; Jingrui He (ICLR, 2025)

A Zero-Shot Generalization Framework for LLM-Driven Cross-Domain Sequential Recommendation. - Yunzhe Li; Junting Wang 001; Hari Sundaram; Zhining Liu 002 (CoRR, 2025)

Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative. - Zihao Li 006; Xiao Lin; Zhining Liu 002; Jiaru Zou; Ziwei Wu; Lecheng Zheng; Dongqi Fu; Yada Zhu; Hendrik F. Hamann; Hanghang Tong; Jingrui He (CoRR, 2025)

CATS: Mitigating Correlation Shift for Multivariate Time Series Classification. - Xiao Lin; Zhichen Zeng 001; Tianxin Wei; Zhining Liu 002; Yuzhong Chen; Hanghang Tong (CoRR, 2025)

ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. - Dongqi Fu; Yada Zhu; Zhining Liu 002; Lecheng Zheng; Xiao Lin; Zihao Li 006; Liri Fang; Katherine Tieu; Onkar Bhardwaj; Kommy Weldemariam; Hanghang Tong; Hendrik F. Hamann; et al. (CoRR, 2025)

MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models. - Xiao Lin; Zhining Liu 002; Ze Yang; Gaotang Li; Ruizhong Qiu; Shuke Wang; Hui Liu; Haotian Li; Sumit Keswani; Vishwa Pardeshi; Huijun Zhao; Wei Fan 001; et al. (CoRR, 2025)

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data. - Zhining Liu 002; Zihao Li 006; Ze Yang; Tianxin Wei; Jian Kang 008; Yada Zhu; Hendrik F. Hamann; Jingrui He; Hanghang Tong (CoRR, 2025)

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting. - Zhining Liu 002; Ze Yang; Xiao Lin; Ruizhong Qiu; Tianxin Wei; Yada Zhu; Hendrik F. Hamann; Jingrui He; Hanghang Tong (CoRR, 2025)

PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment. - Qi Yu; Zhichen Zeng 001; Yuchen Yan; Zhining Liu 002; Baoyu Jing; Ruizhong Qiu; Ariful Azad; Hanghang Tong (CoRR, 2025)

Flow Matching Meets Biology and Life Science: A Survey. - Zihao Li 006; Zhichen Zeng 001; Xiao Lin; Feihao Fang; Yanru Qu; Zhe Xu 007; Zhining Liu 002; Xuying Ning; Tianxin Wei; Ge Liu; Hanghang Tong; Jingrui He (CoRR, 2025)