Hanghang Tong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
251
Venues
36
Active years
2004–2026
Best venue rank
A*
Where they publish
- A*KDD56 papers
- ACIKM44 papers
- A*WWW26 papers
- ASDM22 papers
- A*ICDM21 papers
- A*ACL9 papers
- AWSDM9 papers
- A*ICLR8 papers
- A*ICML7 papers
- A*AAAI7 papers
- A*EMNLP5 papers
- A*IJCAI5 papers
- A*SIGIR3 papers
- CISNN3 papers
- AEACL2 papers
- A*ICDE2 papers
- BPAKDD2 papers
- A*CHI2 papers
- A*ICCV1 paper
- BICCCN1 paper
- BALT1 paper
- A*ECCV1 paper
- ANAACL1 paper
- ARecSys1 paper
- A*SIGMOD1 paper
- BAVI1 paper
- CCSCWD1 paper
- BDASFAA1 paper
- AIUI1 paper
- CUIC1 paper
- BNetworking1 paper
- A*VLDB1 paper
- A*CVPR1 paper
- MulticonferenceICASSP1 paper
- BMMM1 paper
- BICIP1 paper
Papers
251 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents. | Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong |
| 2026 | ACL | Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models. | Zhining Liu, Tianyi Wang, Xiao Lin, Penghao Ouyang, Gaotang Li, Ze Yang, Hui Liu, Sumit Keswani, Vishwa Pardeshi, Huijun Zhao, Wei Fan, Hanghang Tong |
| 2026 | ACL | Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR. | Haobo Xu, Sirui Chen, Ruizhong Qiu, Yuchen Yan, Chen Luo, Monica Xiao Cheng, Jingrui He, Hanghang Tong |
| 2026 | ACL | PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs. | Yanjun Zhao, Tianxin Wei, Jiaru Zou, Xuying Ning, Yuanchen Bei, Lingjie Chen, Simmi Rana, Wendy H. Yang, Hanghang Tong, Jingrui He |
| 2026 | ACL | dLLM: Simple Diffusion Language Modeling. | Zhanhui Zhou, Lingjie Chen, Hanghang Tong, Dawn Song |
| 2026 | EACL | How to Make LMs Strong Node Classifiers? | Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong |
| 2026 | EACL | Harnessing Consistency for Robust Test-Time LLM Ensemble. | Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong |
| 2026 | KDD | Certified Defense on the Fairness of Graph Neural Networks. | Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li |
| 2026 | KDD | PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis. | Xinyu He, Chenhan Xiao, Haoran Li, Ruizhong Qiu, Zhe Xu, Yang Weng, Jingrui He, Hanghang Tong |
| 2026 | KDD | Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements. | Haoran Li, Muhao Guo, Yang Weng, Hanghang Tong |
| 2026 | WWW | FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation. | Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He |
| 2026 | WWW | Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation. | Xiao Lin, Zhicheng Tang, Weilin Cong, Mengyue Hang, Kai Wang, Yajuan Wang, Zhichen Zeng, Ting-Wei Li, Hyunsik Yoo, Zhining Liu, Xuying Ning, Ruizhong Qiu, Wen-Yen Chen, Shuo Chang, Rong Jin, Huayu Li, Hanghang Tong |
| 2025 | ACL | SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence. | Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong |
| 2025 | CIKM | InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. | Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Hang Yin, Xin Zhang, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang |
| 2025 | CIKM | Sparse Autoencoders in Collaborative Filtering Enhanced LLM-based Recommender Systems. | Xinyu He, Jose Sepulveda, Fei Wang, Hanghang Tong |
| 2025 | CIKM | Fine-Grained Graph Rationalization. | Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong |
| 2025 | CIKM | 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 |
| 2025 | CIKM | Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks. | Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Hanghang Tong |
| 2025 | CIKM | Continual Recommender Systems. | Hyunsik Yoo, Seongku Kang, Hanghang Tong |
| 2025 | CIKM | PyG-SSL: A Graph Self-Supervised Learning Toolkit. | Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He |
| 2025 | EMNLP | To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach. | Yuchen Yan, Aakash Kolekar, Sahika Genc, Wenju Xu, Edward W. Huang, Anirudh Srinivasan, Mukesh Jain, Qi He, Hanghang Tong |
| 2025 | ICCV | Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning. | Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He |
| 2025 | ICLR | Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency. | Xinyu He, Dongqi Fu, Hanghang Tong, Ross Maciejewski, Jingrui He |
| 2025 | ICLR | Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation. | Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He |
| 2025 | ICLR | Ask, and it shall be given: On the Turing completeness of prompting. | Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong |
| 2025 | ICLR | How efficient is LLM-generated code? A rigorous & high-standard benchmark. | Ruizhong Qiu, Weiliang Will Zeng, James Ezick, Christopher Lott, Hanghang Tong |
| 2025 | ICML | 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 |
| 2025 | ICML | Taming Knowledge Conflicts in Language Models. | Gaotang Li, Yuzhong Chen, Hanghang Tong |
| 2025 | IJCAI | 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 |
| 2025 | KDD | Learning to Slice: Self-Supervised Interpretable Hierarchical Representation Learning with Graph Auto-Encoder Tree. | Jinning Li, Ruipeng Han, Jingying Zeng, Dachun Sun, Chenkai Sun, Hanghang Tong, ChengXiang Zhai, Boleslaw K. Szymanski, Tarek F. Abdelzaher |
| 2025 | KDD | ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. | Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He |
| 2025 | KDD | Generalizable Recommender System During Temporal Popularity Distribution Shifts. | Hyunsik Yoo, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong |
| 2025 | WWW | Joint Optimal Transport and Embedding for Network Alignment. | Qi Yu, Zhichen Zeng, Yuchen Yan, Lei Ying, R. Srikant, Hanghang Tong |
| 2025 | SIGIR | Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems. | Hyunsik Yoo, SeongKu Kang, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong |
| 2024 | AAAI | Sterling: Synergistic Representation Learning on Bipartite Graphs. | Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong |
| 2024 | AAAI | Hierarchical Multi-Marginal Optimal Transport for Network Alignment. | Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong |
| 2024 | ACL | Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph. | Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong |
| 2024 | ACL | Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? | Qineng Wang, Zihao Wang, Ying Su, Hanghang Tong, Yangqiu Song |
| 2024 | CIKM | On the Sensitivity of Individual Fairness: Measures and Robust Algorithms. | Xinyu He, Jian Kang, Ruizhong Qiu, Fei Wang, Jose Sepulveda, Hanghang Tong |
| 2024 | CIKM | The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA | Jiejun Xu, Hanghang Tong, Andrea L. Bertozzi |
| 2024 | CIKM | Topological Anonymous Walk Embedding: A New Structural Node Embedding Approach. | Yuchen Yan, Yongyi Hu, Qinghai Zhou, Shurang Wu, Dingsu Wang, Hanghang Tong |
| 2024 | CIKM | Graph Anomaly Detection with Adaptive Node Mixup. | Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong |
| 2024 | EMNLP | Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering. | Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu |
| 2024 | ICCCN | Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs. | Jinning Li, Ruipeng Han, Chenkai Sun, Dachun Sun, Ruijie Wang, Jingying Zeng, Yuchen Yan, Hanghang Tong, Tarek F. Abdelzaher |
| 2024 | ICDE | Fairgen: Towards Fair Graph Generation. | Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He |
| 2024 | ICLR | Neural Active Learning Beyond Bandits. | Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He |
| 2024 | ICLR | Deceptive Fairness Attacks on Graphs via Meta Learning. | Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong |
| 2024 | ICML | 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 |
| 2024 | ICML | Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. | Ruizhong Qiu, Hanghang Tong |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | KDD | AIM: Attributing, Interpreting, Mitigating Data Unfairness. | Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong |
| 2024 | KDD | Distributional Network of Networks for Modeling Data Heterogeneity. | Jun Wu, Jingrui He, Hanghang Tong |
| 2024 | KDD | Heterogeneous Contrastive Learning for Foundation Models and Beyond. | Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He |
| 2024 | WWW | New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends. | Lihui Liu, Zihao Wang, Jiaxin Bai, Yangqiu Song, Hanghang Tong |
| 2024 | WWW | PaCEr: Network Embedding From Positional to Structural. | Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong |
| 2024 | WWW | 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 |
| 2024 | SIGIR | Masked Graph Transformer for Large-Scale Recommendation. | Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong |
| 2024 | WSDM | Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform. | Blaine Hill, Lihui Liu, Hanghang Tong |
| 2024 | SDM | Genius: Subteam Replacement with Clustering-based Graph Neural Networks. | Chuxuan Hu, Qinghai Zhou, Hanghang Tong |
| 2023 | ACL | Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. | Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher |
| 2023 | ALT | Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. | Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang |
| 2023 | CIKM | Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. | Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong |
| 2023 | CIKM | Learning Node Abnormality with Weak Supervision. | Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. | Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji |
| 2023 | ICML | Generative Graph Dictionary Learning. | Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong |
| 2023 | KDD | Knowledge Graph Reasoning and Its Applications. | Lihui Liu, Hanghang Tong |
| 2023 | KDD | Reconstructing Graph Diffusion History from a Single Snapshot. | Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong |
| 2023 | KDD | Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. | Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong |
| 2023 | KDD | Kernel Ridge Regression-Based Graph Dataset Distillation. | Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong |
| 2023 | KDD | Node Classification Beyond Homophily: Towards a General Solution. | Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong |
| 2023 | WWW | KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction. | Yun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim |
| 2023 | WWW | Knowledge Graph Question Answering with Ambiguous Query. | Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong |
| 2023 | WWW | PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. | Zhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong |
| 2023 | WSDM | Natural and Artificial Dynamics in GNNs: A Tutorial. | Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He |
| 2023 | WSDM | MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. | Senrong Xu, Liangyue Li, Yuan Yao, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong |
| 2023 | SDM | Concept Discovery for Fast Adaptation. | Shengyu Feng, Hanghang Tong |
| 2023 | SDM | Representation Learning on Dynamic Network of Networks. | Si Zhang, Yinglong Xia, Yan Zhu, Hanghang Tong |
| 2022 | AAAI | 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 |
| 2022 | CIKM | DISCO: Comprehensive and Explainable Disinformation Detection. | Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He |
| 2022 | CIKM | X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. | Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong |
| 2022 | CIKM | Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. | Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong |
| 2022 | CIKM | SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. | Zhenning Zhang, Boxin Du, Hanghang Tong |
| 2022 | ECCV | An Invisible Black-Box Backdoor Attack Through Frequency Domain. | Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang |
| 2022 | ICDM | Generalized Few-Shot Node Classification. | Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong |
| 2022 | ICDM | Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning. | Yuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying, Hanghang Tong |
| 2022 | KDD | Domain Adaptation in Physical Systems via Graph Kernel. | Haoran Li, Hanghang Tong, Yang Weng |
| 2022 | KDD | Algorithmic Fairness on Graphs: Methods and Trends. | Jian Kang, Hanghang Tong |
| 2022 | KDD | JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. | Jian Kang, Qinghai Zhou, Hanghang Tong |
| 2022 | KDD | Joint Knowledge Graph Completion and Question Answering. | Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong |
| 2022 | KDD | Fair Representation Learning: An Alternative to Mutual Information. | Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong |
| 2022 | WWW | Adversarial Graph Contrastive Learning with Information Regularization. | Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong |
| 2022 | WWW | RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. | Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong |
| 2022 | WWW | Graph Communal Contrastive Learning. | Bolian Li, Baoyu Jing, Hanghang Tong |
| 2022 | WWW | Graph Sanitation with Application to Node Classification. | Zhe Xu, Boxin Du, Hanghang Tong |
| 2022 | SIGIR | Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. | Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher |
| 2022 | WSDM | Structure Meets Sequences: Predicting Network of Co-evolving Sequences. | Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong |
| 2022 | SDM | YACC: A Framework Generalizing TurnShadow for Counting Large Cliques. | Shweta Jain, Hanghang Tong |
| 2021 | AAAI | Dynamic Knowledge Graph Alignment. | Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong |
| 2021 | CIKM | Evaluating Graph Vulnerability and Robustness using TIGER. | Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau |
| 2021 | CIKM | Fair Graph Mining. | Jian Kang, Hanghang Tong |
| 2021 | CIKM | DESTINE: Dense Subgraph Detection on Multi-Layered Networks. | Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong |
| 2021 | EMNLP | Multiplex Graph Neural Network for Extractive Text Summarization. | Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong |
| 2021 | EMNLP | EventKE: Event-Enhanced Knowledge Graph Embedding. | Zixuan Zhang, Hongwei Wang, Han Zhao, Hanghang Tong, Heng Ji |
| 2021 | ICDM | AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. | Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han |
| 2021 | KDD | Individual Fairness for Graph Neural Networks: A Ranking based Approach. | Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li |
| 2021 | KDD | Sylvester Tensor Equation for Multi-Way Association. | Boxin Du, Lihui Liu, Hanghang Tong |
| 2021 | KDD | New Frontiers of Multi-Network Mining: Recent Developments and Future Trend. | Boxin Du, Si Zhang, Yuchen Yan, Hanghang Tong |
| 2021 | KDD | KompaRe: A Knowledge Graph Comparative Reasoning System. | Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong |
| 2021 | KDD | Neural-Answering Logical Queries on Knowledge Graphs. | Lihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong |
| 2021 | KDD | Balancing Consistency and Disparity in Network Alignment. | Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo |
| 2021 | NAACL | Event Time Extraction and Propagation via Graph Attention Networks. | Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth |
| 2021 | WWW | Few-shot Network Anomaly Detection via Cross-network Meta-learning. | Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu |
| 2021 | WWW | HDMI: High-order Deep Multiplex Infomax. | Baoyu Jing, Chanyoung Park, Hanghang Tong |
| 2021 | WWW | Network of Tensor Time Series. | Baoyu Jing, Hanghang Tong, Yada Zhu |
| 2021 | WWW | BRIGHT: A Bridging Algorithm for Network Alignment. | Yuchen Yan, Si Zhang, Hanghang Tong |
| 2021 | WWW | Attent: Active Attributed Network Alignment. | Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong |
| 2021 | WSDM | Unsupervised Attributed Network Embedding via Cross Fusion. | Guosheng Pan, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu |
| 2021 | SDM | Fairness-aware Agnostic Federated Learning. | Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong |
| 2020 | CIKM | A View-Adversarial Framework for Multi-View Network Embedding. | Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He |
| 2020 | CIKM | Bringing Order to Network Embedding: A Relative Ranking based Approach. | Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu |
| 2020 | CIKM | Few-shot Insider Threat Detection. | Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong |
| 2020 | CIKM | Network Alignment: Recent Advances and Future Directions. | Si Zhang, Hanghang Tong |
| 2020 | EMNLP | HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction. | Yu Wang, Yun Li, Hanghang Tong, Ziye Zhu |
| 2020 | ICDM | Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model. | Haoran Li, Yang Weng, Hanghang Tong |
| 2020 | IJCAI | CooBa: Cross-project Bug Localization via Adversarial Transfer Learning. | Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang |
| 2020 | KDD | InFoRM: Individual Fairness on Graph Mining. | Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong |
| 2020 | KDD | NetTrans: Neural Cross-Network Transformation. | Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu |
| 2019 | AAAI | An Integral Tag Recommendation Model for Textual Content. | Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu |
| 2019 | AAAI | Hashtag Recommendation for Photo Sharing Services. | Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu |
| 2019 | CIKM | MrMine: Multi-resolution Multi-network Embedding. | Boxin Du, Hanghang Tong |
| 2019 | CIKM | N2N: Network Derivative Mining. | Jian Kang, Hanghang Tong |
| 2019 | CIKM | Discerning Edge Influence for Network Embedding. | Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu |
| 2019 | CIKM | Adaptive Feature Redundancy Minimization. | Rui Zhang, Hanghang Tong, Yifan Hu |
| 2019 | CIKM | Robust Embedded Deep K-means Clustering. | Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu |
| 2019 | ICDM | ADMIRING: Adversarial Multi-network Mining. | Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong |
| 2019 | IJCAI | Commit Message Generation for Source Code Changes. | Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu |
| 2019 | IJCAI | Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. | Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He |
| 2019 | KDD | Task-Adversarial Co-Generative Nets. | Pei Yang, Qi Tan, Hanghang Tong, Jingrui He |
| 2019 | WWW | Multilevel Network Alignment. | Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad |
| 2019 | WSDM | Spiral of Silence in Recommender Systems. | Dugang Liu, Chen Lin, Zhilin Zhang, Yanghua Xiao, Hanghang Tong |
| 2018 | CIKM | X-Rank: Explainable Ranking in Complex Multi-Layered Networks. | Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong |
| 2018 | CIKM | Towards Explainable Networked Prediction. | Liangyue Li, Hanghang Tong, Huan Liu |
| 2018 | ICDM | Bug Localization via Supervised Topic Modeling. | Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Min Li, Feng Xu, Jian Lu |
| 2018 | KDD | Network Connectivity Optimization: Fundamental Limits and Effective Algorithms. | Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong |
| 2018 | KDD | FASTEN: Fast Sylvester Equation Solver for Graph Mining. | Boxin Du, Hanghang Tong |
| 2018 | PAKDD | Team Expansion in Collaborative Environments. | Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu |
| 2018 | RecSys | Extra: explaining team recommendation in networks. | Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong |
| 2018 | WSDM | Network Science of Teams: Characterization, Prediction, and Optimization. | Liangyue Li, Hanghang Tong |
| 2018 | WSDM | GTA | Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss |
| 2018 | SDM | Multi-Layered Network Embedding. | Jundong Li, Chen Chen, Hanghang Tong, Huan Liu |
| 2017 | CHI | iSphere: Focus+Context Sphere Visualization for Interactive Large Graph Exploration. | Fan Du, Nan Cao, Yu-Ru Lin, Panpan Xu, Hanghang Tong |
| 2017 | CIKM | Rapid Analysis of Network Connectivity. | Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia |
| 2017 | CIKM | Automatic Navbox Generation by Interpretable Clustering over Linked Entities. | Chenhao Xie, Lihan Chen, Jiaqing Liang, Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang |
| 2017 | ICDM | Uncovering Teamwork in Networks - Prediction, Optimization and Explanation. | Liangyue Li, Hanghang Tong |
| 2017 | ICDM | Inside the Atoms: Mining a Network of Networks and Beyond. | Hanghang Tong |
| 2017 | ICDM | iNEAT: Incomplete Network Alignment. | Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan |
| 2017 | KDD | FIRST: Fast Interactive Attributed Subgraph Matching. | Boxin Du, Si Zhang, Nan Cao, Hanghang Tong |
| 2017 | KDD | Is the Whole Greater Than the Sum of Its Parts? | Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao, Norbou Buchler |
| 2017 | KDD | HoORaYs: High-order Optimization of Rating Distance for Recommender Systems. | Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu |
| 2017 | KDD | A Local Algorithm for Structure-Preserving Graph Cut. | Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He |
| 2017 | WWW | NEMO: Next Career Move Prediction with Contextual Embedding. | Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen |
| 2017 | WWW | Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data. | Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong |
| 2017 | SIGMOD | Visual Graph Query Construction and Refinement. | Robert S. Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau |
| 2017 | SDM | User-guided Cross-domain Sentiment Classification. | Arun Reddy Nelakurthi, Hanghang Tong, Ross Maciejewski, Nadya Bliss, Jingrui He |
| 2017 | SDM | HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection. | Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong |
| 2016 | AVI | VISAGE: Interactive Visual Graph Querying. | Robert S. Pienta, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau |
| 2016 | CIKM | TEAMOPT: Interactive Team Optimization in Big Networks. | Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler |
| 2016 | CIKM | ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era. | Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu |
| 2016 | CIKM | BigNet 2016: First Workshop on Big Network Analytics. | Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang |
| 2016 | CIKM | Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation. | Yong Wu, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu |
| 2016 | CSCWD | Network based models and path based features for gene prioritization. | Yuechang Liu, Hanghang Tong, Xie Lei, Yong Tang |
| 2016 | ICDE | TOPIC: Toward perfect Influence Graph Summarization. | Lei Shi, Sibai Sun, Yuan Xuan, Yue Su, Hanghang Tong, Shuai Ma, Yang Chen |
| 2016 | KDD | FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks. | Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He |
| 2016 | KDD | QUINT: On Query-Specific Optimal Networks. | Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong |
| 2016 | KDD | FINAL: Fast Attributed Network Alignment. | Si Zhang, Hanghang Tong |
| 2016 | SDM | Untitled record | Liangyue Li, Hanghang Tong, Jie Tang, Wei Fan |
| 2015 | CHI | g-Miner: Interactive Visual Group Mining on Multivariate Graphs. | Nan Cao, Yu-Ru Lin, Liangyue Li, Hanghang Tong |
| 2015 | DASFAA | An Integrated Tag Recommendation Algorithm Towards Weibo User Profiling. | Deqing Yang, Yanghua Xiao, Hanghang Tong, Junjun Zhang, Wei Wang |
| 2015 | ICDM | On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control. | Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong |
| 2015 | ICDM | Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. | Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang |
| 2015 | ICDM | BrainQuest: Perception-Guided Brain Network Comparison. | Lei Shi, Hanghang Tong, Xinzhu Mu |
| 2015 | IJCAI | Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison. | Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu |
| 2015 | IUI | Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design. | Robert S. Pienta, Acar Tamersoy, Hanghang Tong, Alex Endert, Duen Horng (Polo) Chau |
| 2015 | KDD | Facets: Fast Comprehensive Mining of Coevolving High-order Time Series. | Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji, Qing He |
| 2015 | KDD | The Child is Father of the Man: Foresee the Success at the Early Stage. | Liangyue Li, Hanghang Tong |
| 2015 | KDD | Flexible and Robust Multi-Network Clustering. | Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang |
| 2015 | KDD | Panther: Fast Top-k Similarity Search on Large Networks. | Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li |
| 2015 | WWW | Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation. | Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler |
| 2015 | UIC | Mobile Crowd Assisted Navigation for the Visually Impaired. | Greg Olmschenk, Christopher Yang, Zhigang Zhu, Hanghang Tong, William H. Seiple |
| 2015 | SDM | Fast Mining of a Network of Coevolving Time Series. | Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji |
| 2015 | SDM | Fast Eigen-Functions Tracking on Dynamic Graphs. | Chen Chen, Hanghang Tong |
| 2015 | SDM | MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. | Long T. Le, Tina Eliassi-Rad, Hanghang Tong |
| 2015 | SDM | Untitled record | Liangyue Li, Hanghang Tong, Yanghua Xiao, Wei Fan |
| 2014 | CIKM | Accelerometer-based Activity Recognition on Smartphone. | Xing Su, Hanghang Tong, Ping Ji |
| 2014 | CIKM | Dual-Regularized One-Class Collaborative Filtering. | Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu |
| 2014 | CIKM | WiiCluster: a Platform for Wikipedia Infobox Generation. | Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang |
| 2014 | ICDM | Flow-Based Influence Graph Visual Summarization. | Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin |
| 2014 | KDD | Inside the atoms: ranking on a network of networks. | Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang |
| 2014 | KDD | Predicting long-term impact of CQA posts: a comprehensive viewpoint. | Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu |
| 2014 | WWW | User churn in focused question answering sites: characterizations and prediction. | Jagat Sastry Pudipeddi, Leman Akoglu, Hanghang Tong |
| 2014 | WWW | Query complex graph patterns: tools and applications. | Hanghang Tong |
| 2014 | WSDM | 1st workshop on diffusion networks and cascade analytics. | Peng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez |
| 2014 | SDM | Make It or Break It: Manipulating Robustness in Large Networks. | Hau Chan, Leman Akoglu, Hanghang Tong |
| 2014 | SDM | Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. | Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong |
| 2013 | ICDM | BIG-ALIGN: Fast Bipartite Graph Alignment. | Danai Koutra, Hanghang Tong, David M. Lubensky |
| 2013 | ICDM | Demonstrating Interactive Multi-resolution Large Graph Exploration. | Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, Duen Horng (Polo) Chau |
| 2013 | WWW | MATRI: a multi-aspect and transitive trust inference model. | Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu |
| 2013 | SDM | Fractional Immunization in Networks. | Lada A. Adamic, Christos Faloutsos, Theodore J. Iwashyna, B. Aditya Prakash, Hanghang Tong |
| 2013 | SDM | Mining Connection Pathways for Marked Nodes in Large Graphs. | Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken |
| 2012 | CIKM | Fast and reliable anomaly detection in categorical data. | Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos |
| 2012 | CIKM | Gelling, and melting, large graphs by edge manipulation. | Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos |
| 2012 | ICDM | Overlapping Clustering with Sparseness Constraints. | Haibing Lu, Yuan Hong, W. Nick Street, Fei Wang, Hanghang Tong |
| 2012 | KDD | TourViz: interactive visualization of connection pathways in large graphs. | Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos |
| 2012 | KDD | RolX: structural role extraction & mining in large graphs. | Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li |
| 2012 | KDD | SympGraph: a framework for mining clinical notes through symptom relation graphs. | Parikshit Sondhi, Jimeng Sun, Hanghang Tong, ChengXiang Zhai |
| 2012 | SDM | PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs. | Leman Akoglu, Hanghang Tong, Brendan Meeder, Christos Faloutsos |
| 2012 | SDM | Fast Random Walk Graph Kernel. | U Kang, Hanghang Tong, Jimeng Sun |
| 2011 | AAAI | Towards Evolutionary Nonnegative Matrix Factorization. | Fei Wang, Hanghang Tong, Ching-Yung Lin |
| 2011 | KDD | It's who you know: graph mining using recursive structural features. | Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos |
| 2011 | KDD | GBASE: a scalable and general graph management system. | U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos |
| 2011 | KDD | Diversified ranking on large graphs: an optimization viewpoint. | Hanghang Tong, Jingrui He, Zhen Wen, Ravi B. Konuru, Ching-Yung Lin |
| 2011 | Networking | Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point. | Nicholas Valler, B. Aditya Prakash, Hanghang Tong, Michalis Faloutsos, Christos Faloutsos |
| 2011 | WWW | Information spreading in context. | Dashun Wang, Zhen Wen, Hanghang Tong, Ching-Yung Lin, Chaoming Song, Albert-Lszl Barabsi |
| 2011 | SDM | Centralities in Large Networks: Algorithms and Observations. | U Kang, Spiros Papadimitriou, Jimeng Sun, Hanghang Tong |
| 2011 | SDM | Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection. | Hanghang Tong, Ching-Yung Lin |
| 2010 | ICDM | Rare Category Characterization. | Jingrui He, Hanghang Tong, Jaime G. Carbonell |
| 2010 | ICDM | On the Vulnerability of Large Graphs. | Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau |
| 2010 | KDD | Metric forensics: a multi-level approach for mining volatile graphs. | Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong |
| 2010 | PAKDD | BASSET: Scalable Gateway Finder in Large Graphs. | Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad |
| 2009 | CIKM | iPoG: fast interactive proximity querying on graphs. | Hanghang Tong, Huiming Qu, Hani Jamjoom, Christos Faloutsos |
| 2009 | KDD | TANGENT: a novel, 'Surprise me', recommendation algorithm. | Kensuke Onuma, Hanghang Tong, Christos Faloutsos |
| 2008 | CIKM | Fast mining of complex time-stamped events. | Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, Christos Faloutsos |
| 2008 | ICDM | GRAPHITE: A Visual Query System for Large Graphs. | Duen Horng Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad |
| 2008 | ICDM | Measuring Proximity on Graphs with Side Information. | Hanghang Tong, Huiming Qu, Hani Jamjoom |
| 2008 | KDD | Using ghost edges for classification in sparsely labeled networks. | Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos |
| 2008 | KDD | Colibri: fast mining of large static and dynamic graphs. | Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos |
| 2008 | SDM | Proximity Tracking on Time-Evolving Bipartite Graphs. | Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos |
| 2007 | KDD | Fast best-effort pattern matching in large attributed graphs. | Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad |
| 2007 | KDD | Fast direction-aware proximity for graph mining. | Hanghang Tong, Christos Faloutsos, Yehuda Koren |
| 2006 | ICDM | Fast Random Walk with Restart and Its Applications. | Hanghang Tong, Christos Faloutsos, Jia-Yu Pan |
| 2006 | KDD | Center-piece subgraphs: problem definition and fast solutions. | Hanghang Tong, Christos Faloutsos |
| 2006 | VLDB | GMine: A System for Scalable, Interactive Graph Visualization and Mining. | Jos Fernando Rodrigues Jr., Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec |
| 2005 | CVPR | A Unified Optimization Based Learning Method for Image Retrieval. | Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang |
| 2005 | ICASSP | Boosting Web Image Search by Co-Ranking. | Jingrui He, Changshui Zhang, Nanyuan Zhao, Hanghang Tong |
| 2005 | ISNN | Internet Traffic Prediction by W-Boost: Classification and Regression. | Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen |
| 2005 | ISNN | Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier. | Hanghang Tong, Chongrong Li, Jingrui He, Jiajian Chen, Quang-Anh Tran, Hai-Xin Duan, Xing Li |
| 2005 | MMM | Learning No-Reference Quality Metric by Examples. | Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma |
| 2004 | ICIP | No-reference quality assessment for JPEG2000 compressed images. | Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang |
| 2004 | ISNN | A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction. | Hanghang Tong, Chongrong Li, Jingrui He |