ML Anthology

Tong, Hanghang

54 publications

TMLR 2026 Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong
ICLR 2025 Ask, and It Shall Be Given: On the Turing Completeness of Prompting Ruizhong Qiu, Zhe Xu, Wenxuan Bao, 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
NeurIPS 2025 Graph Data Selection for Domain Adaptation: A Model-Free Approach Ting-Wei Li, Ruizhong Qiu, Hanghang Tong
IJCAI 2025 Harnessing Vision Models for Time Series Analysis: A Survey Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
NeurIPS 2025 Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-Scale QoS Degradation Nguyen Hoang Khoi Do, Bach Ngo, Youval Kashuv, Canh V. Pham, Hanghang Tong, My T. Thai
ICLR 2025 How Efficient Is LLM-Generated Code? a Rigorous & High-Standard Benchmark Ruizhong Qiu, Weiliang Will Zeng, James Ezick, Christopher Lott, Hanghang Tong
ICCV 2025 Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He
ICLR 2025 Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He
ICML 2025 Taming Knowledge Conflicts in Language Models Gaotang Li, Yuzhong Chen, Hanghang Tong
ICLR 2025 Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency Xinyu He, Dongqi Fu, Hanghang Tong, Ross Maciejewski, 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
ICLR 2024 Deceptive Fairness Attacks on Graphs via Meta Learning Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong
NeurIPS 2024 Discrete-State Continuous-Time Diffusion for Graph Generation Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
ICMLW 2024 Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection Dongqi Fu, Yada Zhu, Hanghang Tong, Kommy Weldemariam, Onkar Bhardwaj, Jingrui He
ICML 2024 Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization Ruizhong Qiu, 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
ICLR 2024 Neural Active Learning Beyond Bandits Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
NeurIPS 2024 PageRank Bandits for Link Prediction Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
ICML 2024 SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong
AAAI 2024 Sterling: Synergistic Representation Learning on Bipartite Graphs Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
LoG 2023 BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong
ICLR 2023 Do We Really Need Complicated Model Architectures for Temporal Networks? Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi
NeurIPS 2023 From Trainable Negative Depth to Edge Heterophily in Graphs Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong
ICML 2023 Generative Graph Dictionary Learning Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong
ALT 2023 Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang
ICLR 2023 Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji
NeurIPS 2023 Reconciling Competing Sampling Strategies of Network Embedding Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek Abdelzaher, Hanghang Tong
NeurIPSW 2023 Towards Out-of-Distribution Generalizable Predictions of Chemical Kinetic Properties Zihao Wang, Yongqiang Chen, Yang Duan, Weijiang Li, Bo Han, James Cheng, Hanghang Tong
NeurIPS 2022 A Deep Learning Dataloader with Shared Data Preparation Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong
ECCV 2022 An Invisible Black-Box Backdoor Attack Through Frequency Domain Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang
AAAI 2022 Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying
NeurIPSW 2022 COIN: Co-Cluster Infomax for Bipartite Graphs Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong
NeurIPS 2022 CoNSoLe: Convex Neural Symbolic Learning Haoran Li, Yang Weng, Hanghang Tong
NeurIPS 2022 Deep Active Learning by Leveraging Training Dynamics Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew J Margenot, Jingrui He
NeurIPS 2022 Improved Algorithms for Neural Active Learning Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
AAAI 2021 Dynamic Knowledge Graph Alignment Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong
IJCAI 2020 CooBa: Cross-Project Bug Localization via Adversarial Transfer Learning Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang
NeurIPS 2020 Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering Long Chen, Yuan Yao, Feng Xu, Miao Xu, Hanghang Tong
AAAI 2019 An Integral Tag Recommendation Model for Textual Content Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu
IJCAI 2019 Commit Message Generation for Source Code Changes Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu
IJCAI 2019 Deep Multi-Task Learning with Adversarial-and-Cooperative Nets Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He
AAAI 2019 Hashtag Recommendation for Photo Sharing Services Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu
NeurIPS 2019 PC-Fairness: A Unified Framework for Measuring Causality-Based Fairness Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong
NeurIPS 2019 Robust Principal Component Analysis with Adaptive Neighbors Rui Zhang, Hanghang Tong
IJCAI 2015 Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu
NeurIPS 2012 GenDeR: A Generic Diversified Ranking Algorithm Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw Szymanski
ECML-PKDD 2012 Which Topic Will You Follow? Deqing Yang, Yanghua Xiao, Bo Xu, Hanghang Tong, Wei Wang, Sheng Huang
AAAI 2011 Towards Evolutionary Nonnegative Matrix Factorization Fei Wang, Hanghang Tong, Ching-Yung Lin
ECML-PKDD 2010 Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms B. Aditya Prakash, Hanghang Tong, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos
CVPR 2005 A Unified Optimization Based Learning Method for Image Retrieval Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang