Hanghang Tong - RankMe

573 papers A* 137A 76B 21C 1Journal 260Unranked 69

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification. CoRR Xiao Lin, Philip Li, Zhichen Zeng, Tingwei Li, Tianxin Wei, Xuying Ning, Gaotang Li, Yuzhong Chen, Hanghang Tong
2026	J	`jnl`	Agentic Reasoning for Large Language Models. CoRR Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He
2026	—	`conf`	Certified Defense on the Fairness of Graph Neural Networks. KDD (1) Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li
2026	J	`jnl`	Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models. CoRR 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	A*	`conf`	FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation. WWW Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He
2026	J	`jnl`	FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation. CoRR Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He
2026	J	`jnl`	Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning. CoRR Ruizhong Qiu, Ting-Wei Li, Gaotang Li, Hanghang Tong
2026	—	`conf`	Harnessing Consistency for Robust Test-Time LLM Ensemble. EACL (Findings) Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong
2026	—	`conf`	How to Make LMs Strong Node Classifiers? EACL (Findings) Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong
2026	J	`jnl`	MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains. CoRR Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik F. Hamann, Jingrui He
2026	J	`jnl`	Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents. CoRR Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2026	A*	`conf`	Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation. WWW 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
2026	—	`conf`	Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements. KDD (1) Haoran Li, Muhao Guo, Yang Weng, Hanghang Tong
2026	J	`jnl`	Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics. Trans. Mach. Learn. Res. Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong
2026	—	`conf`	PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis. KDD (1) Xinyu He, Chenhan Xiao, Haoran Li, Ruizhong Qiu, Zhe Xu, Yang Weng, Jingrui He, Hanghang Tong
2026	J	`jnl`	Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR. CoRR Haobo Xu, Sirui Chen, Ruizhong Qiu, Yuchen Yan, Chen Luo, Monica Xiao Cheng, Jingrui He, Hanghang Tong
2026	J	`jnl`	ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning. CoRR Ruizhong Qiu, Hanqing Zeng, Yinglong Xia, Yiwen Meng, Ren Chen, Jiarui Feng, Dongqi Fu, Qifan Wang, Jiayi Liu, Jun Xiao, Xiangjun Fan, Benyu Zhang, Hong Li, Zhining Liu, Hyunsik Yoo, Zhichen Zeng, Tianxin Wei, Hanghang Tong
2026	J	`jnl`	Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu
2026	J	`jnl`	Subspace Alignment for Vision-Language Model Test-time Adaptation. CoRR Zhichen Zeng, Wenxuan Bao, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Xuying Ning, Yuchen Yan, Chen Luo, Monica Xiao Cheng, Jingrui He, Hanghang Tong
2026	J	`jnl`	TSAQA: Time Series Analysis Question And Answering Benchmark. CoRR Baoyu Jing, Sanhorn Chen, Lecheng Zheng, Boyu Liu, Zihao Li, Jiaru Zou, Tianxin Wei, Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Yuchen Yan, Dongqi Fu, Jingchao Ni, Jingrui He, Hanghang Tong
2026	J	`jnl`	dLLM: Simple Diffusion Language Modeling. CoRR Zhanhui Zhou, Lingjie Chen, Hanghang Tong, Dawn Song
2026	J	`jnl`	ℝ CoRR Zihao Wang, Hang Yin, Lihui Liu, Hanghang Tong, Yangqiu Song, Ginny Y. Wong, Simon See
2025	B	`conf`	Adversarial Bias: Data Poisoning Attacks on Fairness. IEEE Big Data Eunice Chan, Hanghang Tong
2025	J	`jnl`	Adversarial Bias: Data Poisoning Attacks on Fairness. CoRR Eunice Chan, Hanghang Tong
2025	A*	`conf`	Ask, and it shall be given: On the Turing completeness of prompting. ICLR Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong
2025	J	`jnl`	Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum. CoRR Gaotang Li, Ruizhong Qiu, Xiusi Chen, Heng Ji, Hanghang Tong
2025	A*	`conf`	Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting. ICML Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025	J	`jnl`	Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting. CoRR Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025	J	`jnl`	CATS: Mitigating Correlation Shift for Multivariate Time Series Classification. CoRR Xiao Lin, Zhichen Zeng, Tianxin Wei, Zhining Liu, Yuzhong Chen, Hanghang Tong
2025	J	`jnl`	CLIMB: Class-imbalanced Learning Benchmark on Tabular Data. CoRR Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025	A	`conf`	ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. CIKM 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	J	`jnl`	ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. CoRR 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	J	`jnl`	Continual Low-Rank Adapters for LLM-based Generative Recommender Systems. CoRR Hyunsik Yoo, Ting-Wei Li, SeongKu Kang, Zhining Liu, Charlie Xu, Qilin Qi, Hanghang Tong
2025	A	`conf`	Continual Recommender Systems. CIKM Hyunsik Yoo, SeongKu Kang, Hanghang Tong
2025	J	`jnl`	Continual Recommender Systems. CoRR Hyunsik Yoo, SeongKu Kang, Hanghang Tong
2025	J	`jnl`	Deep Graph Anomaly Detection: A Survey and New Perspectives. IEEE Trans. Knowl. Data Eng. Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang
2025	A*	`conf`	Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems. SIGIR Hyunsik Yoo, SeongKu Kang, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong
2025	J	`jnl`	Enhancing Hyperedge Prediction With Context-Aware Self-Supervised Learning. IEEE Trans. Knowl. Data Eng. Yunyong Ko, Hanghang Tong, Sang-Wook Kim
2025	J	`jnl`	Enhancing biomedical named entity recognition with parallel boundary detection and category classification. BMC Bioinform. Yu Wang, Hanghang Tong, Ziye Zhu, Fengzhen Hou, Yun Li
2025	A	`conf`	Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks. CIKM Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Hanghang Tong
2025	A	`conf`	Fine-Grained Graph Rationalization. CIKM Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
2025	J	`jnl`	Flow Matching Meets Biology and Life Science: A Survey. CoRR Zihao Li, Zhichen Zeng, Xiao Lin, Feihao Fang, Yanru Qu, Zhe Xu, Zhining Liu, Xuying Ning, Tianxin Wei, Ge Liu, Hanghang Tong, Jingrui He
2025	J	`jnl`	From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? CoRR Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Zhigang Deng, Qingsong Wen, Jingchao Ni
2025	—	`conf`	Generalizable Recommender System During Temporal Popularity Distribution Shifts. KDD (1) Hyunsik Yoo, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong
2025	J	`jnl`	Geometric-Disentangelment Unlearning. CoRR Duo Zhou, Yuji Zhang, Tianxin Wei, Ruizhong Qiu, Ke Yang, Xiao Lin, Cheng Qian, Jingrui He, Hanghang Tong, Heng Ji, Huan Zhang
2025	J	`jnl`	Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs. CoRR Ruizhong Qiu, Ting-Wei Li, Gaotang Li, Hanghang Tong
2025	J	`jnl`	Harnessing Consistency for Robust Test-Time LLM Ensemble. CoRR Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong
2025	A*	`conf`	Harnessing Vision Models for Time Series Analysis: A Survey. IJCAI Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025	J	`jnl`	Harnessing Vision Models for Time Series Analysis: A Survey. CoRR Jingchao Ni, Ziming Zhao, ChengAo Shen, Hanghang Tong, Dongjin Song, Wei Cheng, Dongsheng Luo, Haifeng Chen
2025	J	`jnl`	Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation. CoRR Nguyen Do, Bach Ngo, Youval Kashuv, Canh V. Pham, Hanghang Tong, My T. Thai
2025	J	`jnl`	Hierarchical LoRA MoE for Efficient CTR Model Scaling. CoRR Zhichen Zeng, Mengyue Hang, Xiaolong Liu, Xiaoyi Liu, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Zhining Liu, Siyang Yuan, Chaofei Yang, Yiqun Liu, Hang Yin, Jiyan Yang, Hanghang Tong
2025	A*	`conf`	How efficient is LLM-generated code? A rigorous & high-standard benchmark. ICLR Ruizhong Qiu, Weiliang Will Zeng, James Ezick, Christopher Lott, Hanghang Tong
2025	A	`conf`	InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CIKM 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	A*	`conf`	Joint Optimal Transport and Embedding for Network Alignment. WWW Qi Yu, Zhichen Zeng, Yuchen Yan, Lei Ying, R. Srikant, Hanghang Tong
2025	J	`jnl`	Joint Optimal Transport and Embedding for Network Alignment. CoRR Qi Yu, Zhichen Zeng, Yuchen Yan, Lei Ying, R. Srikant, Hanghang Tong
2025	J	`jnl`	Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative. CoRR Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik F. Hamann, Hanghang Tong, Jingrui He
2025	J	`jnl`	Latent Collaboration in Multi-Agent Systems. CoRR Jiaru Zou, Xiyuan Yang, Ruizhong Qiu, Gaotang Li, Katherine Tieu, Pan Lu, Ke Shen, Hanghang Tong, Yejin Choi, Jingrui He, James Zou, Mengdi Wang, Ling Yang
2025	J	`jnl`	Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning. CoRR Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He
2025	—	`conf`	Learning to Slice: Self-Supervised Interpretable Hierarchical Representation Learning with Graph Auto-Encoder Tree. KDD (2) Jinning Li, Ruipeng Han, Jingying Zeng, Dachun Sun, Chenkai Sun, Hanghang Tong, ChengXiang Zhai, Boleslaw K. Szymanski, Tarek F. Abdelzaher
2025	J	`jnl`	MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models. CoRR 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
2025	A*	`conf`	Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation. ICLR Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He
2025	J	`jnl`	Model-Free Graph Data Selection under Distribution Shift. CoRR Ting-Wei Li, Ruizhong Qiu, Hanghang Tong
2025	J	`jnl`	Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements. CoRR Haoran Li, Muhao Guo, Yang Weng, Hanghang Tong
2025	J	`jnl`	Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective. SIGKDD Explor. Lihui Liu, Zihao Wang, Hanghang Tong
2025	J	`jnl`	PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment. CoRR Qi Yu, Zhichen Zeng, Yuchen Yan, Zhining Liu, Baoyu Jing, Ruizhong Qiu, Ariful Azad, Hanghang Tong
2025	J	`jnl`	Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics. CoRR Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong
2025	J	`jnl`	PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis. CoRR Xinyu He, Chenhan Xiao, Haoran Li, Ruizhong Qiu, Zhe Xu, Yang Weng, Jingrui He, Hanghang Tong
2025	A	`conf`	PyG-SSL: A Graph Self-Supervised Learning Toolkit. CIKM 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	J	`jnl`	RM-R1: Reward Modeling as Reasoning. CoRR Xiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang, Hongru Wang, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji
2025	—	`conf`	ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. KDD (1) Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
2025	J	`jnl`	ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. CoRR Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
2025	J	`jnl`	SVTime: Small Time Series Forecasting Models Informed by "Physics" of Large Vision Model Forecasters. CoRR ChengAo Shen, Ziming Zhao, Hanghang Tong, Dongjin Song, Dongsheng Luo, Qingsong Wen, Jingchao Ni
2025	J	`jnl`	Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance. CoRR Ruizhong Qiu, Gaotang Li, Tianxin Wei, Jingrui He, Hanghang Tong
2025	J	`jnl`	Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs. CoRR Zhining Liu, Ziyi Chen, Hui Liu, Chen Luo, Xianfeng Tang, Suhang Wang, Joy Zeng, Zhenwei Dai, Zhan Shi, Tianxin Wei, Benoît Dumoulin, Hanghang Tong
2025	—	`conf`	SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence. ACL (1) Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong
2025	J	`jnl`	SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence. CoRR Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong
2025	A	`conf`	Sparse Autoencoders in Collaborative Filtering Enhanced LLM-based Recommender Systems. CIKM Xinyu He, Jose Sepulveda, Fei Wang, Hanghang Tong
2025	J	`jnl`	TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges. CoRR Ruizhong Qiu, Jun-Gi Jang, Xiao Lin, Lihui Liu, Hanghang Tong
2025	A*	`conf`	Taming Knowledge Conflicts in Language Models. ICML Gaotang Li, Yuzhong Chen, Hanghang Tong
2025	J	`jnl`	Taming Knowledge Conflicts in Language Models. CoRR Gaotang Li, Yuzhong Chen, Hanghang Tong
2025	A*	`conf`	Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency. ICLR Xinyu He, Dongqi Fu, Hanghang Tong, Ross Maciejewski, Jingrui He
2025	J	`jnl`	Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors. CoRR Jun-Gi Jang, Jingrui He, Andrew Margenot, Hanghang Tong
2025	—	`conf`	To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach. EMNLP (Findings) Yuchen Yan, Aakash Kolekar, Sahika Genc, Wenju Xu, Edward W. Huang, Anirudh Srinivasan, Mukesh Jain, Qi He, Hanghang Tong
2025	J	`jnl`	TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion. CoRR Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Kai Shu, Hanghang Tong
2024	J	`jnl`	A Collaborative Ensemble Framework for CTR Prediction. CoRR Xiaolong Liu, Zhichen Zeng, Xiaoyi Liu, Siyang Yuan, Weinan Song, Mengyue Hang, Yiqun Liu, Chaofei Yang, Donghyun Kim, Wen-Yen Chen, Jiyan Yang, Yiping Han, Rong Jin, Bo Long, Hanghang Tong, Philip S. Yu
2024	A*	`conf`	AIM: Attributing, Interpreting, Mitigating Data Unfairness. KDD Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong
2024	J	`jnl`	AIM: Attributing, Interpreting, Mitigating Data Unfairness. CoRR Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong
2024	J	`jnl`	AdaRC: Mitigating Graph Structure Shifts during Test-Time. CoRR Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang Tong, Jingrui He
2024	J	`jnl`	ArieL: Adversarial Graph Contrastive Learning. ACM Trans. Knowl. Discov. Data Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2024	J	`jnl`	Artificial Intelligence, Social Responsibility, and the Roles of the University. Commun. ACM Michael C. Loui, Nigel Bosch, Anita Say Chan, Jenny L. Davis, Rochelle Gutiérrez, Jingrui He, Karrie Karahalios, Sanmi Koyejo, Ruby Mendenhall, Madelyn Rose Sanfilippo, Hanghang Tong, Lav R. Varshney, Yang Wang
2024	J	`jnl`	Ask, and it shall be given: Turing completeness of prompting. CoRR Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong
2024	J	`jnl`	BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting. CoRR Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong
2024	A*	`conf`	BackTime: Backdoor Attacks on Multivariate Time Series Forecasting. NeurIPS Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong
2024	J	`jnl`	Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-Link Diagrams. IEEE Trans. Vis. Comput. Graph. Qing Chen, Nan Chen, Wei Shuai, Guande Wu, Zhe Xu, Hanghang Tong, Nan Cao
2024	A*	`conf`	Class-Imbalanced Graph Learning without Class Rebalancing. ICML Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong
2024	—	`conf`	Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph. ACL (Findings) Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong
2024	J	`jnl`	DeBaTeR: Denoising Bipartite Temporal Graph for Recommendation. CoRR Xinyu He, Jose Sepulveda, Mostafa Rahmani, Alyssa Woo, Fei Wang, Hanghang Tong
2024	A*	`conf`	Deceptive Fairness Attacks on Graphs via Meta Learning. ICLR Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong
2024	J	`jnl`	Deep Graph Anomaly Detection: A Survey and New Perspectives. CoRR Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu C. Aggarwal, Guansong Pang
2024	A*	`conf`	Discrete-state Continuous-time Diffusion for Graph Generation. NeurIPS Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
2024	J	`jnl`	Discrete-state Continuous-time Diffusion for Graph Generation. CoRR Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
2024	A*	`conf`	Distributional Network of Networks for Modeling Data Heterogeneity. KDD Jun Wu, Jingrui He, Hanghang Tong
2024	A*	`conf`	Ensuring User-side Fairness in Dynamic Recommender Systems. WWW Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong
2024	J	`jnl`	F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data. CoRR Zexing Xu, Linjun Zhang, Sitan Yang, S. Rasoul Etesami, Hanghang Tong, Huan Zhang, Jiawei Han
2024	A*	`conf`	Fairgen: Towards Fair Graph Generation. ICDE Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2024	J	`jnl`	Generalized few-shot node classification: toward an uncertainty-based solution. Knowl. Inf. Syst. Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong
2024	A*	`conf`	Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering. EMNLP Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu
2024	J	`jnl`	Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering. CoRR Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Kang Liu, Jun Zhao
2024	J	`jnl`	Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection. CoRR Dongqi Fu, Yada Zhu, Hanghang Tong, Kommy Weldemariam, Onkar Bhardwaj, Jingrui He
2024	A	`conf`	Genius: Subteam Replacement with Clustering-based Graph Neural Networks. SDM Chuxuan Hu, Qinghai Zhou, Hanghang Tong
2024	A	`conf`	Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform. WSDM Blaine Hill, Lihui Liu, Hanghang Tong
2024	A*	`conf`	Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. ICML Ruizhong Qiu, Hanghang Tong
2024	J	`jnl`	Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. CoRR Ruizhong Qiu, Hanghang Tong
2024	A	`conf`	Graph Anomaly Detection with Adaptive Node Mixup. CIKM Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong
2024	A*	`conf`	Graph Mixup on Approximate Gromov-Wasserstein Geodesics. ICML Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong
2024	—	`conf`	Group Fairness via Group Consensus. FAccT Eunice Chan, Zhining Liu, Ruizhong Qiu, Yuheng Zhang, Ross Maciejewski, Hanghang Tong
2024	J	`jnl`	Guest Editorial: Special Issue on Graph Learning. IEEE Trans. Neural Networks Learn. Syst. Feng Xia, Renaud Lambiotte, Neil Shah, Hanghang Tong, Irwin King
2024	A*	`conf`	Heterogeneous Contrastive Learning for Foundation Models and Beyond. KDD Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
2024	J	`jnl`	Heterogeneous Contrastive Learning for Foundation Models and Beyond. CoRR Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He
2024	J	`jnl`	Heterogeneous Network Motif Coding, Counting, and Profiling. ACM Trans. Knowl. Discov. Data Shuo Yu, Feng Xia, Honglong Chen, Ivan Lee, Lianhua Chi, Hanghang Tong
2024	A*	`conf`	Hierarchical Multi-Marginal Optimal Transport for Network Alignment. AAAI Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong
2024	J	`jnl`	How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark. CoRR Ruizhong Qiu, Weiliang Will Zeng, Hanghang Tong, James Ezick, Christopher Lott
2024	J	`jnl`	InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. CoRR 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, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang
2024	J	`jnl`	Language Models are Graph Learners. CoRR Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong
2024	B	`conf`	Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs. ICCCN Jinning Li, Ruipeng Han, Chenkai Sun, Dachun Sun, Ruijie Wang, Jingying Zeng, Yuchen Yan, Hanghang Tong, Tarek F. Abdelzaher
2024	J	`jnl`	Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. CoRR Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban, Eunice Chan, Yangqiu Song, Jingrui He, Hanghang Tong
2024	A*	`conf`	Masked Graph Transformer for Large-Scale Recommendation. SIGIR Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
2024	J	`jnl`	Masked Graph Transformer for Large-Scale Recommendation. CoRR Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong
2024	A*	`conf`	Neural Active Learning Beyond Bandits. ICLR Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
2024	J	`jnl`	Neural Active Learning Beyond Bandits. CoRR Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
2024	J	`jnl`	Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective. CoRR Lihui Liu, Zihao Wang, Hanghang Tong
2024	—	`conf`	New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends. WWW (Companion Volume) Lihui Liu, Zihao Wang, Jiaxin Bai, Yangqiu Song, Hanghang Tong
2024	J	`jnl`	On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method. CoRR Weilin Cong, Jian Kang, Hanghang Tong, Mehrdad Mahdavi
2024	A	`conf`	On the Sensitivity of Individual Fairness: Measures and Robust Algorithms. CIKM Xinyu He, Jian Kang, Ruizhong Qiu, Fei Wang, Jose Sepulveda, Hanghang Tong
2024	A*	`conf`	PaCEr: Network Embedding From Positional to Structural. WWW Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong
2024	A*	`conf`	PageRank Bandits for Link Prediction. NeurIPS Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
2024	J	`jnl`	PageRank Bandits for Link Prediction. CoRR Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
2024	J	`jnl`	Parametric Graph Representations in the Era of Foundation Models: A Survey and Position. CoRR Dongqi Fu, Liri Fang, Zihao Li, Hanghang Tong, Vetle I. Torvik, Jingrui He
2024	J	`jnl`	PyG-SSL: A Graph Self-Supervised Learning Toolkit. CoRR Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He
2024	—	`conf`	Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? ACL (1) Qineng Wang, Zihao Wang, Ying Su, Hanghang Tong, Yangqiu Song
2024	J	`jnl`	Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? CoRR Qineng Wang, Zihao Wang, Ying Su, Hanghang Tong, Yangqiu Song
2024	A*	`conf`	SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter. ICML Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong
2024	J	`jnl`	SimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering. CoRR Xiaodong Yang, Huiyuan Chen, Yuchen Yan, Yuxin Tang, Yuying Zhao, Eric Xu, Yiwei Cai, Hanghang Tong
2024	J	`jnl`	Soft Reasoning on Uncertain Knowledge Graphs. CoRR Weizhi Fei, Zihao Wang, Hang Yin, Yang Duan, Hanghang Tong, Yangqiu Song
2024	A*	`conf`	Sterling: Synergistic Representation Learning on Bipartite Graphs. AAAI Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
2024	J	`jnl`	THeGCN: Temporal Heterophilic Graph Convolutional Network. CoRR Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Xiaoting Li, Zhe Xu, Zhichen Zeng, Zhining Liu, Hanghang Tong
2024	J	`jnl`	TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges. Proc. VLDB Endow. Ruizhong Qiu, Jun-Gi Jang, Xiao Lin, Lihui Liu, Hanghang Tong
2024	A	`conf`	The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA CIKM Jiejun Xu, Hanghang Tong, Andrea L. Bertozzi
2024	A	`conf`	Topological Anonymous Walk Embedding: A New Structural Node Embedding Approach. CIKM Yuchen Yan, Yongyi Hu, Qinghai Zhou, Shurang Wu, Dingsu Wang, Hanghang Tong
2024	J	`jnl`	Transforming the Hybrid Cloud for Emerging AI Workloads. CoRR Deming Chen, Alaa Youssef, Ruchi Pendse, André Schleife, Bryan K. Clark, Hendrik F. Hamann, Jingrui He, Teodoro Laino, Lav R. Varshney, Yuxiong Wang, Avirup Sil, Reyhaneh Jabbarvand, Tianyin Xu, Volodymyr V. Kindratenko, Carlos H. A. Costa, Sarita V. Adve, Charith Mendis, Minjia Zhang, Santiago Núñez-Corrales, Raghu K. Ganti, Mudhakar Srivatsa, Nam Sung Kim, Josep Torrellas, Jian Huang, Seetharami R. Seelam, Klara Nahrstedt, Tarek F. Abdelzaher, Tamar Eilam, Huimin Zhao, Matteo Manica, Ravishankar K. Iyer, Martin Hirzel, Vikram S. Adve, Darko Marinov, Hubertus Franke, Hanghang Tong, Elizabeth A. Ainsworth, Han Zhao, Deepak Vasisht, Minh Do, Fábio Oliveira, Giovanni Pacifici, Ruchir Puri, Priya Nagpurkar
2024	J	`jnl`	Trustworthy Graph Neural Networks: Aspects, Methods, and Trends. Proc. IEEE He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei
2024	J	`jnl`	WAPITI: A Watermark for Finetuned Open-Source LLMs. CoRR Lingjie Chen, Ruizhong Qiu, Siyu Yuan, Zhining Liu, Tianxin Wei, Hyunsik Yoo, Zhichen Zeng, Deqing Yang, Hanghang Tong
2023	J	`jnl`	Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong
2023	J	`jnl`	BL-GAN: Semi-Supervised Bug Localization via Generative Adversarial Network. IEEE Trans. Knowl. Data Eng. Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li
2023	—	`conf`	BeMap: Balanced Message Passing for Fair Graph Neural Network. LoG Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong
2023	J	`jnl`	BeMap: Balanced Message Passing for Fair Graph Neural Network. CoRR Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong
2023	J	`jnl`	Calliope-Net: Automatic Generation of Graph Data Facts via Annotated Node-link Diagrams. CoRR Qing Chen, Nan Chen, Wei Shuai, Guande Wu, Zhe Xu, Hanghang Tong, Nan Cao
2023	J	`jnl`	Concept Discovery for Fast Adapatation. CoRR Shengyu Feng, Hanghang Tong
2023	A	`conf`	Concept Discovery for Fast Adaptation. SDM Shengyu Feng, Hanghang Tong
2023	J	`jnl`	Conversational Question Answering with Reformulations over Knowledge Graph. CoRR Lihui Liu, Blaine Hill, Boxin Du, Fei Wang, Hanghang Tong
2023	J	`jnl`	Deceptive Fairness Attacks on Graphs via Meta Learning. CoRR Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong
2023	J	`jnl`	Decoupled Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen
2023	A*	`conf`	Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi
2023	J	`jnl`	Do We Really Need Complicated Model Architectures For Temporal Networks? CoRR Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi
2023	J	`jnl`	ELEGANT: Certified Defense on the Fairness of Graph Neural Networks. CoRR Yushun Dong, Binchi Zhang, Hanghang Tong, Jundong Li
2023	J	`jnl`	Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2023	J	`jnl`	Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning. CoRR Yun-Yong Ko, Hanghang Tong, Sang-Wook Kim
2023	J	`jnl`	Ensuring User-side Fairness in Dynamic Recommender Systems. CoRR Hyunsik Yoo, Zhichen Zeng, Jian Kang, Zhining Liu, David Zhou, Fei Wang, Eunice Chan, Hanghang Tong
2023	J	`jnl`	FairGen: Towards Fair Graph Generation. CoRR Lecheng Zheng, Dawei Zhou, Hanghang Tong, Jiejun Xu, Yada Zhu, Jingrui He
2023	A*	`conf`	From Trainable Negative Depth to Edge Heterophily in Graphs. NeurIPS Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong
2023	A*	`conf`	Generative Graph Dictionary Learning. ICML Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong
2023	A	`conf`	Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. CIKM Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong
2023	J	`jnl`	Graph Vulnerability and Robustness: A Survey. IEEE Trans. Knowl. Data Eng. Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau
2023	J	`jnl`	Hierarchical Multi-Marginal Optimal Transport for Network Alignment. CoRR Zhichen Zeng, Boxin Du, Si Zhang, Yinglong Xia, Zhining Liu, Hanghang Tong
2023	B	`conf`	Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. ALT Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang
2023	J	`jnl`	Invariant Graph Transformer. CoRR Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
2023	A*	`conf`	KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction. WWW Yun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim
2023	J	`jnl`	KHAN: Knowledge-Aware Hierarchical Attention Networks for Political Stance Prediction. CoRR Yun-Yong Ko, Seongeun Ryu, Soeun Han, Yeongseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim
2023	A*	`conf`	Kernel Ridge Regression-Based Graph Dataset Distillation. KDD Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong
2023	A*	`conf`	Knowledge Graph Question Answering with Ambiguous Query. WWW Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong
2023	A*	`conf`	Knowledge Graph Reasoning and Its Applications. KDD Lihui Liu, Hanghang Tong
2023	A	`conf`	Learning Node Abnormality with Weak Supervision. CIKM Qinghai Zhou, Kaize Ding, Huan Liu, Hanghang Tong
2023	A*	`conf`	Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. ICLR Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji
2023	J	`jnl`	Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning. CoRR Chi Han, Qizheng He, Charles Yu, Xinya Du, Hanghang Tong, Heng Ji
2023	A	`conf`	MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. WSDM Senrong Xu, Liangyue Li, Yuan Yao, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong
2023	J	`jnl`	Mobility Inference on Long-Tailed Sparse Trajectory. ACM Trans. Intell. Syst. Technol. Lei Shi, Yuankai Luo, Shuai Ma, Hanghang Tong, Zhetao Li, Xiatian Zhang, Zhiguang Shan
2023	A	`conf`	Natural and Artificial Dynamics in GNNs: A Tutorial. WSDM Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He
2023	A*	`conf`	Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. KDD Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong
2023	J	`jnl`	Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. CoRR Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew J. Margenot, Hanghang Tong
2023	J	`jnl`	Neural Multi-network Diffusion towards Social Recommendation. CoRR Boxin Du, Lihui Liu, Jiejun Xu, Fei Wang, Hanghang Tong
2023	A*	`conf`	Node Classification Beyond Homophily: Towards a General Solution. KDD Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong
2023	—	`conf`	Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. ACL (Findings) Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher
2023	J	`jnl`	Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. CoRR Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher
2023	J	`jnl`	On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation. CoRR Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong
2023	J	`jnl`	On the Vulnerability of Graph Learning-based Collaborative Filtering. ACM Trans. Inf. Syst. Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong
2023	A*	`conf`	PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. WWW Zhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong
2023	J	`jnl`	Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. CoRR Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
2023	J	`jnl`	Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. SIGKDD Explor. Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
2023	A*	`conf`	Reconciling Competing Sampling Strategies of Network Embedding. NeurIPS Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong
2023	A*	`conf`	Reconstructing Graph Diffusion History from a Single Snapshot. KDD Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong
2023	J	`jnl`	Reconstructing Graph Diffusion History from a Single Snapshot. CoRR Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong
2023	A	`conf`	Representation Learning on Dynamic Network of Networks. SDM Si Zhang, Yinglong Xia, Yan Zhu, Hanghang Tong
2023	J	`jnl`	STERLING: Synergistic Representation Learning on Bipartite Graphs. CoRR Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong
2023	J	`jnl`	Topological Augmentation for Class-Imbalanced Node Classification. CoRR Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong
2023	J	`jnl`	Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation. ACM Trans. Inf. Syst. Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong
2023	J	`jnl`	Towards out-of-distribution generalizable predictions of chemical kinetics properties. CoRR Zihao Wang, Yongqiang Chen, Yang Duan, Weijiang Li, Bo Han, James Cheng, Hanghang Tong
2022	A*	`conf`	A Deep Learning Dataloader with Shared Data Preparation. NeurIPS Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong
2022	B	`conf`	A Survey of Explainable Graph Neural Networks for Cyber Malware Analysis. IEEE Big Data Dana Warmsley, Alex Waagen, Jiejun Xu, Zhining Liu, Hanghang Tong
2022	B	`conf`	ABM: Attention-based Message Passing Network for Knowledge Graph Completion. IEEE Big Data Weikai Xu, Lihui Liu, Hanghang Tong
2022	J	`jnl`	ARIEL: Adversarial Graph Contrastive Learning. CoRR Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2022	A*	`conf`	Active Heterogeneous Graph Neural Networks with Per-step Meta-Q-Learning. ICDM Yuheng Zhang, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying, Hanghang Tong
2022	B	`conf`	Adaptive Knowledge Transfer on Evolving Domains. IEEE Big Data Jun Wu, Hanghang Tong, Elizabeth A. Ainsworth, Jingrui He
2022	A*	`conf`	Adversarial Graph Contrastive Learning with Information Regularization. WWW Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2022	J	`jnl`	Adversarial Graph Contrastive Learning with Information Regularization. CoRR Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong
2022	A*	`conf`	Algorithmic Fairness on Graphs: Methods and Trends. KDD Jian Kang, Hanghang Tong
2022	—	`conf`	An Invisible Black-Box Backdoor Attack Through Frequency Domain. ECCV (13) Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang
2022	J	`jnl`	Auditing Network Embedding: An Edge Influence Based Approach. IEEE Trans. Knowl. Data Eng. Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu
2022	A*	`conf`	Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning. AAAI Yuheng Zhang, Hanghang Tong, Yinglong Xia, Yan Zhu, Yuejie Chi, Lei Ying
2022	J	`jnl`	COIN: Co-Cluster Infomax for Bipartite Graphs. CoRR Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong
2022	A*	`conf`	CoNSoLe: Convex Neural Symbolic Learning. NeurIPS Haoran Li, Yang Weng, Hanghang Tong
2022	J	`jnl`	CoNSoLe: Convex Neural Symbolic Learning. CoRR Haoran Li, Yang Weng, Hanghang Tong
2022	—	`conf`	Combining Code Context and Fine-grained Code Difference for Commit Message Generation. Internetware Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong
2022	B	`conf`	Comparative Reasoning for Knowledge Graph Fact Checking. IEEE Big Data Lihui Liu, Houxiang Ji, Jiejun Xu, Hanghang Tong
2022	A	`conf`	DISCO: Comprehensive and Explainable Disinformation Detection. CIKM Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
2022	J	`jnl`	DISCO: Comprehensive and Explainable Disinformation Detection. CoRR Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
2022	J	`jnl`	Data Augmentation for Deep Graph Learning: A Survey. CoRR Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu
2022	J	`jnl`	Data Augmentation for Deep Graph Learning: A Survey. SIGKDD Explor. Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu
2022	A*	`conf`	Deep Active Learning by Leveraging Training Dynamics. NeurIPS Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew Margenot, Jingrui He
2022	J	`jnl`	Detecting Topology Attacks against Graph Neural Networks. CoRR Senrong Xu, Yuan Yao, Liangyue Li, Wei Yang, Feng Xu, Hanghang Tong
2022	A	`conf`	Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks. CIKM Yuchen Yan, Qinghai Zhou, Jinning Li, Tarek F. Abdelzaher, Hanghang Tong
2022	A*	`conf`	Domain Adaptation in Physical Systems via Graph Kernel. KDD Haoran Li, Hanghang Tong, Yang Weng
2022	J	`jnl`	Enhancing bug localization with bug report decomposition and code hierarchical network. Knowl. Based Syst. Ziye Zhu, Hanghang Tong, Yu Wang, Yun Li
2022	B	`conf`	Fair Regression under Sample Selection Bias. IEEE Big Data Wei Du, Xintao Wu, Hanghang Tong
2022	A*	`conf`	Fair Representation Learning: An Alternative to Mutual Information. KDD Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong
2022	J	`jnl`	FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models. IEEE Trans. Vis. Comput. Graph. Tiankai Xie, Yuxin Ma, Jian Kang, Hanghang Tong, Ross Maciejewski
2022	J	`jnl`	GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network. CoRR Chuxuan Hu, Qinghai Zhou, Hanghang Tong
2022	A*	`conf`	Generalized Few-Shot Node Classification. ICDM Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong
2022	J	`jnl`	Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. CoRR Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong
2022	A*	`conf`	Graph Communal Contrastive Learning. WWW Bolian Li, Baoyu Jing, Hanghang Tong
2022	A*	`conf`	Graph Sanitation with Application to Node Classification. WWW Zhe Xu, Boxin Du, Hanghang Tong
2022	J	`jnl`	How to optimize an academic team when the outlier member is leaving? CoRR Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong
2022	J	`jnl`	HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. ACM Trans. Inf. Syst. Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen
2022	A*	`conf`	Improved Algorithms for Neural Active Learning. NeurIPS Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
2022	J	`jnl`	Improved Algorithms for Neural Active Learning. CoRR Yikun Ban, Yuheng Zhang, Hanghang Tong, Arindam Banerjee, Jingrui He
2022	J	`jnl`	Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs. CoRR Haipeng Luo, Hanghang Tong, Mengxiao Zhang, Yuheng Zhang
2022	B	`conf`	InfoFair: Information-Theoretic Intersectional Fairness. IEEE Big Data Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong
2022	A*	`conf`	Joint Knowledge Graph Completion and Question Answering. KDD Lihui Liu, Boxin Du, Jiejun Xu, Yinglong Xia, Hanghang Tong
2022	A*	`conf`	JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. KDD Jian Kang, Qinghai Zhou, Hanghang Tong
2022	J	`jnl`	JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks. CoRR Jian Kang, Qinghai Zhou, Hanghang Tong
2022	J	`jnl`	Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms. IEEE Data Eng. Bull. Lihui Liu, Ruining Zhao, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong
2022	J	`jnl`	Learning Optimal Propagation for Graph Neural Networks. CoRR Beidi Zhao, Boxin Du, Zhe Xu, Liangyue Li, Hanghang Tong
2022	J	`jnl`	Nested Named Entity Recognition: A Survey. ACM Trans. Knowl. Discov. Data Yu Wang, Hanghang Tong, Ziye Zhu, Yun Li
2022	J	`jnl`	PINO-MBD: Physics-informed Neural Operator for Solving Coupled ODEs in Multi-body Dynamics. CoRR Wenhao Ding, Qing He, Hanghang Tong, Ping Wang
2022	J	`jnl`	Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. CoRR Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski
2022	A*	`conf`	RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. WWW Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong
2022	J	`jnl`	RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. CoRR Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong
2022	J	`jnl`	Retrieval Based Time Series Forecasting. CoRR Baoyu Jing, Si Zhang, Yada Zhu, Bin Peng, Kaiyu Guan, Andrew Margenot, Hanghang Tong
2022	J	`jnl`	SODA: Detecting COVID-19 in Chest X-Rays With Semi-Supervised Open Set Domain Adaptation. IEEE ACM Trans. Comput. Biol. Bioinform. Jieli Zhou, Baoyu Jing, Zeya Wang, Hongyi Xin, Hanghang Tong
2022	J	`jnl`	SUGER: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. CoRR Zhenning Zhang, Boxin Du, Hanghang Tong
2022	—	`conf`	Schema-Guided Event Graph Completion. AKBC Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji
2022	J	`jnl`	Schema-Guided Event Graph Completion. CoRR Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji
2022	B	`conf`	Self-supervised Hypergraph Representation Learning. IEEE Big Data Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong
2022	J	`jnl`	Solving practical multi-body dynamics problems using a single neural operator. CoRR Wenhao Ding, Qing He, Hanghang Tong, Qingjing Wang, Ping Wang
2022	J	`jnl`	Spiral of Silence and Its Application in Recommender Systems. IEEE Trans. Knowl. Data Eng. Chen Lin, Dugang Liu, Hanghang Tong, Yanghua Xiao
2022	A	`conf`	Structure Meets Sequences: Predicting Network of Co-evolving Sequences. WSDM Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong
2022	A	`conf`	SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. CIKM Zhenning Zhang, Boxin Du, Hanghang Tong
2022	J	`jnl`	Trustworthy Graph Neural Networks: Aspects, Methods and Trends. CoRR He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei
2022	A*	`conf`	Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. SIGIR Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher
2022	J	`jnl`	Visual Analytics of Anomalous User Behaviors: A Survey. IEEE Trans. Big Data Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao
2022	A	`conf`	X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. CIKM Baoyu Jing, Shengyu Feng, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong
2022	A	`conf`	YACC: A Framework Generalizing TuránShadow for Counting Large Cliques. SDM Shweta Jain, Hanghang Tong
2022	B	`conf`	iFiG: Individually Fair Multi-view Graph Clustering. IEEE Big Data Yian Wang, Jian Kang, Yinglong Xia, Jiebo Luo, Hanghang Tong
2021	J	`jnl`	A deep multimodal model for bug localization. Data Min. Knowl. Discov. Ziye Zhu, Yun Li, Yu Wang, Yaojing Wang, Hanghang Tong
2021	A*	`conf`	AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. ICDM Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2021	A*	`conf`	Attent: Active Attributed Network Alignment. WWW Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong
2021	J	`jnl`	Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. IEEE Trans. Vis. Comput. Graph. Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski
2021	A*	`conf`	BRIGHT: A Bridging Algorithm for Network Alignment. WWW Yuchen Yan, Si Zhang, Hanghang Tong
2021	J	`jnl`	Backdoor Attack through Frequency Domain. CoRR Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang
2021	A*	`conf`	Balancing Consistency and Disparity in Network Alignment. KDD Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo
2021	A	`ed.`	CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 CIKM Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong
2021	A	`conf`	DESTINE: Dense Subgraph Detection on Multi-Layered Networks. CIKM Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong
2021	J	`jnl`	Deep Active Learning by Leveraging Training Dynamics. CoRR Haonan Wang, Wei Huang, Andrew Margenot, Hanghang Tong, Jingrui He
2021	A*	`conf`	Dynamic Knowledge Graph Alignment. AAAI Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong
2021	A	`conf`	Evaluating Graph Vulnerability and Robustness using TIGER. CIKM Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau
2021	—	`conf`	Event Time Extraction and Propagation via Graph Attention Networks. NAACL-HLT Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth
2021	—	`conf`	EventKE: Event-Enhanced Knowledge Graph Embedding. EMNLP (Findings) Zixuan Zhang, Hongwei Wang, Han Zhao, Hanghang Tong, Heng Ji
2021	A	`conf`	Fair Graph Mining. CIKM Jian Kang, Hanghang Tong
2021	J	`jnl`	Fair Regression under Sample Selection Bias. CoRR Wei Du, Xintao Wu, Hanghang Tong
2021	A	`conf`	Fairness-aware Agnostic Federated Learning. SDM Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong
2021	J	`jnl`	Fast Connectivity Minimization on Large-Scale Networks. ACM Trans. Knowl. Discov. Data Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong
2021	A*	`conf`	Few-shot Network Anomaly Detection via Cross-network Meta-learning. WWW Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu
2021	J	`jnl`	Few-shot Network Anomaly Detection via Cross-network Meta-learning. CoRR Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu
2021	J	`jnl`	Graph Communal Contrastive Learning. CoRR Bolian Li, Baoyu Jing, Hanghang Tong
2021	J	`jnl`	Graph Ranking Auditing: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. Meijia Wang, Jian Kang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong
2021	J	`jnl`	Graph Sanitation with Application to Node Classification. CoRR Zhe Xu, Hanghang Tong
2021	J	`jnl`	Graph Vulnerability and Robustness: A Survey. CoRR Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau
2021	J	`jnl`	Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs. CoRR Baoyu Jing, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong
2021	A*	`conf`	HDMI: High-order Deep Multiplex Infomax. WWW Baoyu Jing, Chanyoung Park, Hanghang Tong
2021	J	`jnl`	HDMI: High-order Deep Multiplex Infomax. CoRR Baoyu Jing, Chanyoung Park, Hanghang Tong
2021	J	`jnl`	High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective. ACM Trans. Knowl. Discov. Data Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He
2021	J	`jnl`	How to Optimize an Academic Team When the Outlier Member is Leaving? IEEE Intell. Syst. Shuo Yu, Jiaying Liu, Haoran Wei, Feng Xia, Hanghang Tong
2021	J	`jnl`	Hypergraph Pre-training with Graph Neural Networks. CoRR Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong
2021	J	`jnl`	Incremental one-class collaborative filtering with co-evolving side networks. Knowl. Inf. Syst. Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong
2021	A*	`conf`	Individual Fairness for Graph Neural Networks: A Ranking based Approach. KDD Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li
2021	A*	`conf`	KompaRe: A Knowledge Graph Comparative Reasoning System. KDD Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong
2021	J	`jnl`	MultiFair: Multi-Group Fairness in Machine Learning. CoRR Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong
2021	—	`conf`	Multiplex Graph Neural Network for Extractive Text Summarization. EMNLP (1) Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong
2021	J	`jnl`	Multiplex Graph Neural Network for Extractive Text Summarization. CoRR Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong
2021	A*	`conf`	Network of Tensor Time Series. WWW Baoyu Jing, Hanghang Tong, Yada Zhu
2021	J	`jnl`	Network of Tensor Time Series. CoRR Baoyu Jing, Hanghang Tong, Yada Zhu
2021	A*	`conf`	Neural-Answering Logical Queries on Knowledge Graphs. KDD Lihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong
2021	A*	`conf`	New Frontiers of Multi-Network Mining: Recent Developments and Future Trend. KDD Boxin Du, Si Zhang, Yuchen Yan, Hanghang Tong
2021	J	`jnl`	Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization. SIAM J. Math. Data Sci. Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad
2021	—	`conf`	REFORM: Fast and Adaptive Solution for Subteam Replacement. IEEE BigData Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong
2021	J	`jnl`	REFORM: Fast and Adaptive Solution for Subteam Replacement. CoRR Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong
2021	J	`jnl`	Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction. ACM Trans. Knowl. Discov. Data Wei Wang, Feng Xia, Jian Wu, Zhiguo Gong, Hanghang Tong, Brian D. Davison
2021	J	`jnl`	Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. IEEE Trans. Knowl. Data Eng. Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King
2021	A*	`conf`	Sylvester Tensor Equation for Multi-Way Association. KDD Boxin Du, Lihui Liu, Hanghang Tong
2021	A	`conf`	Unsupervised Attributed Network Embedding via Cross Fusion. WSDM Guosheng Pan, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu
2021	J	`jnl`	Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders. CoRR Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher
2020	A	`conf`	A View-Adversarial Framework for Multi-View Network Embedding. CIKM Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He
2020	J	`jnl`	Adversarial Learning for Multi-Task Sequence Labeling With Attention Mechanism. IEEE ACM Trans. Audio Speech Lang. Process. Yu Wang, Yun Li, Ziye Zhu, Hanghang Tong, Yue Huang
2020	J	`jnl`	Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. CoRR Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski
2020	A	`conf`	Bringing Order to Network Embedding: A Relative Ranking based Approach. CIKM Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu
2020	—	`conf`	CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong
2020	A*	`conf`	CooBa: Cross-project Bug Localization via Adversarial Transfer Learning. IJCAI Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang
2020	J	`jnl`	Data-Driven Computational Social Science: A Survey. Big Data Res. Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong
2020	J	`jnl`	Data-driven Computational Social Science: A Survey. CoRR Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong
2020	J	`jnl`	Eiffel: Evolutionary Flow Map for Influence Graph Visualization. IEEE Trans. Vis. Comput. Graph. Yucheng Huang, Lei Shi, Yue Su, Yifan Hu, Hanghang Tong, Chaoli Wang, Tong Yang, Deyun Wang, Shuo Liang
2020	J	`jnl`	Enhancing supervised bug localization with metadata and stack-trace. Knowl. Inf. Syst. Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Ming Li, Feng Xu, Jian Lu
2020	J	`jnl`	Fairness-aware Agnostic Federated Learning. CoRR Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong
2020	A	`conf`	Few-shot Insider Threat Detection. CIKM Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong
2020	—	`conf`	HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction. EMNLP (1) Yu Wang, Yun Li, Hanghang Tong, Ziye Zhu
2020	A*	`conf`	Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model. ICDM Haoran Li, Yang Weng, Hanghang Tong
2020	A*	`conf`	InFoRM: Individual Fairness on Graph Mining. KDD Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong
2020	J	`jnl`	Incomplete Network Alignment: Problem Definitions and Fast Solutions. ACM Trans. Knowl. Discov. Data Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan
2020	J	`jnl`	Inferring Full Diffusion History from Partial Timestamps. IEEE Trans. Knowl. Data Eng. Zhen Chen, Hanghang Tong, Lei Ying
2020	J	`jnl`	KompaRe: A Knowledge Graph Comparative Reasoning System. CoRR Lihui Liu, Boxin Du, Heng Ji, Hanghang Tong
2020	A*	`conf`	NetTrans: Neural Cross-Network Transformation. KDD Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu
2020	A	`conf`	Network Alignment: Recent Advances and Future Directions. CIKM Si Zhang, Hanghang Tong
2020	J	`jnl`	Node Immunization with Non-backtracking Eigenvalues. CoRR Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad
2020	J	`jnl`	OnionGraph: Hierarchical topology+attribute multivariate network visualization. Vis. Informatics Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Chaoli Wang, Chuang Lin, Weihong Qian
2020	—	`conf`	Ranking on Network of Heterogeneous Information Networks. IEEE BigData Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Hanghang Tong
2020	J	`jnl`	Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining. CoRR Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King
2020	A*	`conf`	Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering. NeurIPS Long Chen, Yuan Yao, Feng Xu, Miao Xu, Hanghang Tong
2019	J	`jnl`	A Brief Review of Network Embedding. Big Data Min. Anal. Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu
2019	A*	`conf`	ADMIRING: Adversarial Multi-network Mining. ICDM Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong
2019	A	`conf`	Adaptive Feature Redundancy Minimization. CIKM Rui Zhang, Hanghang Tong, Yifan Hu
2019	A*	`conf`	An Integral Tag Recommendation Model for Textual Content. AAAI Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu
2019	J	`jnl`	Attributed Network Alignment: Problem Definitions and Fast Solutions. IEEE Trans. Knowl. Data Eng. Si Zhang, Hanghang Tong
2019	A*	`conf`	Commit Message Generation for Source Code Changes. IJCAI Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu
2019	—	`ed.`	Computational Data and Social Networks - 8th International Conference, CSoNet 2019, Ho Chi Minh City, Vietnam, November 18-20, 2019, Proceedings CSoNet Andrea Tagarelli, Hanghang Tong
2019	A*	`conf`	Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. IJCAI Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He
2019	A	`conf`	Discerning Edge Influence for Network Embedding. CIKM Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu
2019	J	`jnl`	Dual-regularized one-class collaborative filtering with implicit feedback. World Wide Web Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu
2019	J	`jnl`	EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data. CoRR Zhuochen Jin, Nan Cao, Yang Shi, Hanghang Tong, Yingcai Wu
2019	J	`jnl`	From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang
2019	—	`conf`	G-Finder: Approximate Attributed Subgraph Matching. IEEE BigData Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong
2019	A*	`conf`	Hashtag Recommendation for Photo Sharing Services. AAAI Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu
2019	J	`jnl`	Location Prediction for Tweets. Frontiers Big Data Chieh-Yang Huang, Hanghang Tong, Jingrui He, Ross Maciejewski
2019	A	`conf`	MrMine: Multi-resolution Multi-network Embedding. CIKM Boxin Du, Hanghang Tong
2019	A*	`conf`	Multilevel Network Alignment. WWW Si Zhang, Hanghang Tong, Ross Maciejewski, Tina Eliassi-Rad
2019	A	`conf`	N2N: Network Derivative Mining. CIKM Jian Kang, Hanghang Tong
2019	—	`conf`	NetDyna: Mining Networked Coevolving Time Series with Missing Values. IEEE BigData Hairi, Hanghang Tong, Lei Ying
2019	—	`conf`	ORIGIN: Non-Rigid Network Alignment. IEEE BigData Si Zhang, Hanghang Tong, Jiejun Xu, Yifan Hu, Ross Maciejewski
2019	A*	`conf`	PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. NeurIPS Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong
2019	J	`jnl`	PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. CoRR Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong
2019	A	`conf`	Robust Embedded Deep K-means Clustering. CIKM Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu
2019	A*	`conf`	Robust Principal Component Analysis with Adaptive Neighbors. NeurIPS Rui Zhang, Hanghang Tong
2019	A	`conf`	Spiral of Silence in Recommender Systems. WSDM Dugang Liu, Chen Lin, Zhilin Zhang, Yanghua Xiao, Hanghang Tong
2019	A*	`conf`	Task-Adversarial Co-Generative Nets. KDD Pei Yang, Qi Tan, Hanghang Tong, Jingrui He
2019	—	`conf`	Towards Real Time Team Optimization. IEEE BigData Qinghai Zhou, Liangyue Li, Hanghang Tong
2019	J	`jnl`	Visual Analytics of Anomalous User Behaviors: A Survey. CoRR Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao
2018	—	`ed.`	2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018 ICDM Workshops Hanghang Tong, Zhenhui Jessie Li, Feida Zhu, Jeffrey Yu
2018	—	`conf`	AURORA: Auditing PageRank on Large Graphs. IEEE BigData Jian Kang, Meijia Wang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong
2018	J	`jnl`	AURORA: Auditing PageRank on Large Graphs. CoRR Jian Kang, Hanghang Tong, Yinglong Xia, Wei Fan
2018	A*	`conf`	Bug Localization via Supervised Topic Modeling. ICDM Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Min Li, Feng Xu, Jian Lu
2018	J	`jnl`	EXTRA: Explaining Team Recommendation in Networks. CoRR Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong
2018	A	`conf`	Extra: explaining team recommendation in networks. RecSys Qinghai Zhou, Liangyue Li, Nan Cao, Norbou Buchler, Hanghang Tong
2018	A*	`conf`	FASTEN: Fast Sylvester Equation Solver for Graph Mining. KDD Boxin Du, Hanghang Tong
2018	A	`conf`	GTA WSDM Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss
2018	—	`conf`	Graph Convolutional Networks: Algorithms, Applications and Open Challenges. CSoNet Si Zhang, Hanghang Tong, Jiejun Xu, Ross Maciejewski
2018	J	`jnl`	Guiding supervised topic modeling for content based tag recommendation. Neurocomputing Yong Wu, Shengqu Xi, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu
2018	—	`conf`	Local Partition in Rich Graphs. IEEE BigData Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng (Polo) Chau, Hanghang Tong
2018	J	`jnl`	Local Partition in Rich Graphs. CoRR Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
2018	—	`book`	Mobile Data Mining Yuan Yao, Xing Su, Hanghang Tong
2018	A	`conf`	Multi-Layered Network Embedding. SDM Jundong Li, Chen Chen, Hanghang Tong, Huan Liu
2018	A*	`conf`	Network Connectivity Optimization: Fundamental Limits and Effective Algorithms. KDD Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong
2018	A	`conf`	Network Science of Teams: Characterization, Prediction, and Optimization. WSDM Liangyue Li, Hanghang Tong
2018	—	`conf`	Realtime Robustification of Interdependent Networks under Cascading Attacks. IEEE BigData Zhen Chen, Hanghang Tong, Lei Ying
2018	—	`ch.`	Subgraph Extraction for Trust Inference in Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu
2018	—	`conf`	Team Expansion in Collaborative Environments. PAKDD (3) Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu
2018	A	`conf`	Towards Explainable Networked Prediction. CIKM Liangyue Li, Hanghang Tong, Huan Liu
2018	J	`jnl`	Visual Analysis of Brain Networks Using Sparse Regression Models. ACM Trans. Knowl. Discov. Data Lei Shi, Hanghang Tong, Madelaine Daianu, Feng Tian, Paul M. Thompson
2018	J	`jnl`	Visualizing Research Impact through Citation Data. ACM Trans. Interact. Intell. Syst. Yong Wang, Conglei Shi, Liangyue Li, Hanghang Tong, Huamin Qu
2018	A	`conf`	X-Rank: Explainable Ranking in Complex Multi-Layered Networks. CIKM Jian Kang, Scott Freitas, Haichao Yu, Yinglong Xia, Nan Cao, Hanghang Tong
2017	A*	`conf`	A Local Algorithm for Structure-Preserving Graph Cut. KDD Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He
2017	A	`conf`	Automatic Navbox Generation by Interpretable Clustering over Linked Entities. CIKM Chenhao Xie, Lihan Chen, Jiaqing Liang, Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang
2017	J	`jnl`	Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation. IEEE Trans. Vis. Comput. Graph. Xinsong Yang, Lei Shi, Madelaine Daianu, Hanghang Tong, Qingsong Liu, Paul M. Thompson
2017	J	`jnl`	Cross-Dependency Inference in Multi-Layered Networks: A Collaborative Filtering Perspective. ACM Trans. Knowl. Discov. Data Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He
2017	J	`jnl`	Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions. IEEE Trans. Knowl. Data Eng. Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler
2017	A*	`conf`	FIRST: Fast Interactive Attributed Subgraph Matching. KDD Boxin Du, Si Zhang, Nan Cao, Hanghang Tong
2017	J	`jnl`	Fast and Flexible Top- ACM Trans. Inf. Syst. Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li, Walter Luyten, Marie-Francine Moens
2017	J	`jnl`	Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan
2017	A	`conf`	HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection. SDM Si Zhang, Dawei Zhou, Mehmet Yigit Yildirim, Scott Alcorn, Jingrui He, Hasan Davulcu, Hanghang Tong
2017	A*	`conf`	HoORaYs: High-order Optimization of Rating Distance for Recommender Systems. KDD Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu
2017	—	`conf`	Inside the Atoms: Mining a Network of Networks and Beyond. ICDM Workshops Hanghang Tong
2017	A*	`conf`	Is the Whole Greater Than the Sum of Its Parts? KDD Liangyue Li, Hanghang Tong, Yong Wang, Conglei Shi, Nan Cao, Norbou Buchler
2017	—	`conf`	NEMO: Next Career Move Prediction with Contextual Embedding. WWW (Companion Volume) Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen
2017	J	`jnl`	On the Measurement and Prediction of Web Content Utility: A Review. SIGKDD Explor. Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu
2017	J	`jnl`	On the eigen-functions of dynamic graphs: Fast tracking and attribution algorithms. Stat. Anal. Data Min. Chen Chen, Hanghang Tong
2017	—	`conf`	Personalized travel mode detection with smartphone sensors. IEEE BigData Xing Su, Yuan Yao, Qing He, Jie Lu, Hanghang Tong
2017	J	`jnl`	RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem. IEEE Trans. Knowl. Data Eng. Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu
2017	A	`conf`	Rapid Analysis of Network Connectivity. CIKM Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia
2017	J	`jnl`	Scalable Algorithms for CQA Post Voting Prediction. IEEE Trans. Knowl. Data Eng. Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu
2017	—	`conf`	Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data. WWW (Companion Volume) Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong
2017	J	`jnl`	Special focus on natural language processing and social computing. Sci. China Inf. Sci. Jie Tang, Hanghang Tong, Michalis Vazirgiannis
2017	J	`jnl`	Towards Optimal Connectivity on Multi-Layered Networks. IEEE Trans. Knowl. Data Eng. Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong
2017	—	`conf`	Uncovering Teamwork in Networks - Prediction, Optimization and Explanation. ICDM Workshops Liangyue Li, Hanghang Tong
2017	A	`conf`	User-guided Cross-domain Sentiment Classification. SDM Arun Reddy Nelakurthi, Hanghang Tong, Ross Maciejewski, Nadya Bliss, Jingrui He
2017	—	`conf`	VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in genome-wide association studies: Applied to Alzheimer's disease. BIBM Qiao Liu, Chen Chen, Annie Gao, Hanghang Tong, Lei Xie
2017	J	`jnl`	Version-Aware Rating Prediction for Mobile App Recommendation. ACM Trans. Inf. Syst. Yuan Yao, Wayne Xin Zhao, Yaojing Wang, Hanghang Tong, Feng Xu, Jian Lu
2017	—	`conf`	Visual Graph Query Construction and Refinement. SIGMOD Conference Robert S. Pienta, Fred Hohman, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau
2017	A*	`conf`	iNEAT: Incomplete Network Alignment. ICDM Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan
2017	A*	`conf`	iSphere: Focus+Context Sphere Visualization for Interactive Large Graph Exploration. CHI Fan Du, Nan Cao, Yu-Ru Lin, Panpan Xu, Hanghang Tong
2016	B	`ed.`	2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, CA, USA, August 18-21, 2016 ASONAM Ravi Kumar, James Caverlee, Hanghang Tong
2016	A	`conf`	ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era. CIKM Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu
2016	A	`conf`	BigNet 2016: First Workshop on Big Network Analytics. CIKM Jie Tang, Keke Cai, Zhong Su, Hanghang Tong, Michalis Vazirgiannis, Yang Yang
2016	J	`jnl`	Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model. BMC Bioinform. Jingchao Ni, Mehmet Koyutürk, Hanghang Tong, Jonathan L. Haines, Rong Xu, Xiang Zhang
2016	J	`jnl`	Eigen-Optimization on Large Graphs by Edge Manipulation. ACM Trans. Knowl. Discov. Data Chen Chen, Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos
2016	A*	`conf`	FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks. KDD Chen Chen, Hanghang Tong, Lei Xie, Lei Ying, Qing He
2016	A*	`conf`	FINAL: Fast Attributed Network Alignment. KDD Si Zhang, Hanghang Tong
2016	J	`jnl`	Guest Editorial: Big Scholar Data Discovery and Collaboration. IEEE Trans. Big Data Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan
2016	J	`jnl`	Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued). IEEE Trans. Big Data Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan
2016	J	`jnl`	Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue. ACM Trans. Knowl. Discov. Data Hanghang Tong, Fei Wang, Munmun De Choudhury, Zoran Obradovic
2016	J	`jnl`	Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing. PLoS Comput. Biol. Hansaim Lim, Aleksandar Poleksic, Yuan Yao, Hanghang Tong, Di He, Luke Zhuang, Patrick Meng, Lei Xie
2016	C	`conf`	Network based models and path based features for gene prioritization. CSCWD Yuechang Liu, Hanghang Tong, Xie Lei, Yong Tang
2016	J	`jnl`	Node Immunization on Large Graphs: Theory and Algorithms. IEEE Trans. Knowl. Data Eng. Chen Chen, Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
2016	J	`jnl`	Online Travel Mode Identification Using Smartphones With Battery Saving Considerations. IEEE Trans. Intell. Transp. Syst. Xing Su, Hernan Caceres, Hanghang Tong, Qing He
2016	J	`jnl`	Preface. Big Data Res. Jian Pei, Guoliang Li, Hanghang Tong
2016	A*	`conf`	QUINT: On Query-Specific Optimal Networks. KDD Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong
2016	A	`conf`	TEAMOPT: Interactive Team Optimization in Big Networks. CIKM Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler
2016	A*	`conf`	TOPIC: Toward perfect Influence Graph Summarization. ICDE Lei Shi, Sibai Sun, Yuan Xuan, Yue Su, Hanghang Tong, Shuai Ma, Yang Chen
2016	A	`conf`	Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation. CIKM Yong Wu, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu
2016	B	`conf`	VISAGE: Interactive Visual Graph Querying. AVI Robert S. Pienta, Acar Tamersoy, Alex Endert, Shamkant B. Navathe, Hanghang Tong, Duen Horng Chau
2015	—	`conf`	An Integrated Tag Recommendation Algorithm Towards Weibo User Profiling. DASFAA (1) Deqing Yang, Yanghua Xiao, Hanghang Tong, Junjun Zhang, Wei Wang
2015	A*	`conf`	BrainQuest: Perception-Guided Brain Network Comparison. ICDM Lei Shi, Hanghang Tong, Xinzhu Mu
2015	J	`jnl`	Detecting high-quality posts in community question answering sites. Inf. Sci. Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu
2015	A*	`conf`	Facets: Fast Comprehensive Mining of Coevolving High-order Time Series. KDD Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji, Qing He
2015	A	`conf`	Fast Eigen-Functions Tracking on Dynamic Graphs. SDM Chen Chen, Hanghang Tong
2015	A	`conf`	Fast Mining of a Network of Coevolving Time Series. SDM Yongjie Cai, Hanghang Tong, Wei Fan, Ping Ji
2015	A*	`conf`	Flexible and Robust Multi-Network Clustering. KDD Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang
2015	—	`conf`	Full diffusion history reconstruction in networks. IEEE BigData Zhen Chen, Hanghang Tong, Lei Ying
2015	J	`jnl`	GMine: A System for Scalable, Interactive Graph Visualization and Mining. CoRR José F. Rodrigues Jr., Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec
2015	J	`jnl`	Graph based anomaly detection and description: a survey. Data Min. Knowl. Discov. Leman Akoglu, Hanghang Tong, Danai Koutra
2015	A*	`conf`	Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison. IJCAI Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu
2015	—	`conf`	Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design. IUI Companion Robert S. Pienta, Acar Tamersoy, Hanghang Tong, Alex Endert, Duen Horng (Polo) Chau
2015	J	`jnl`	Large Graph Analysis in the GMine System. CoRR José Fernando Rodrigues Jr., Hanghang Tong, Jia-Yu Pan, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos
2015	A	`conf`	MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps. SDM Long T. Le, Tina Eliassi-Rad, Hanghang Tong
2015	—	`conf`	Mobile Crowd Assisted Navigation for the Visually Impaired. UIC/ATC/ScalCom Greg Olmschenk, Christopher Yang, Zhigang Zhu, Hanghang Tong, William H. Seiple
2015	A*	`conf`	On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control. ICDM Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong
2015	J	`jnl`	Panther: Fast Top-k Similarity Search in Large Networks. CoRR Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juan-Zi Li
2015	A*	`conf`	Panther: Fast Top-k Similarity Search on Large Networks. KDD Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li
2015	A*	`conf`	Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation. WWW Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler
2015	A*	`conf`	Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. ICDM Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang
2015	J	`jnl`	Robust bilinear factorization with missing and grossly corrupted observations. Inf. Sci. Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng
2015	—	`conf`	Robust network construction against intentional attacks. BigComp Hui Wang, Wanyun Cui, Yanghua Xiao, Hanghang Tong
2015	—	`conf`	Supervised Link Prediction Using Random Walks. SMP Yuechang Liu, Hanghang Tong, Lei Xie, Yong Tang
2015	A*	`conf`	The Child is Father of the Man: Foresee the Success at the Early Stage. KDD Liangyue Li, Hanghang Tong
2015	J	`jnl`	The Child is Father of the Man: Foresee the Success at the Early Stage. CoRR Liangyue Li, Hanghang Tong
2015	B	`conf`	Towards Topic Following in Heterogeneous Information Networks. ASONAM Deqing Yang, Yanghua Xiao, Hanghang Tong, Wanyun Cui, Wei Wang
2015	J	`jnl`	VEGAS: Visual influEnce GrAph Summarization on Citation Networks. IEEE Trans. Knowl. Data Eng. Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin
2015	A*	`conf`	g-Miner: Interactive Visual Group Mining on Multivariate Graphs. CHI Nan Cao, Yu-Ru Lin, Liangyue Li, Hanghang Tong
2014	A	`conf`	1st workshop on diffusion networks and cascade analytics. WSDM Peng Cui, Fei Wang, Hanghang Tong, Manuel Gomez-Rodriguez
2014	A	`conf`	Accelerometer-based Activity Recognition on Smartphone. CIKM Xing Su, Hanghang Tong, Ping Ji
2014	—	`ch.`	Big Data Classification. Data Classification: Algorithms and Applications Hanghang Tong
2014	A	`conf`	Dual-Regularized One-Class Collaborative Filtering. CIKM Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu
2014	A	`conf`	Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. SDM Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong
2014	A*	`conf`	Flow-Based Influence Graph Visual Summarization. ICDM Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin
2014	J	`jnl`	Flow-based Influence Graph Visual Summarization. CoRR Lei Shi, Hanghang Tong, Jie Tang, Chuang Lin
2014	J	`jnl`	Graph-based Anomaly Detection and Description: A Survey. CoRR Leman Akoglu, Hanghang Tong, Danai Koutra
2014	B	`conf`	Hierarchical Focus+Context Heterogeneous Network Visualization. PacificVis Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Yue Zhao, Chuang Lin
2014	A*	`conf`	Inside the atoms: ranking on a network of networks. KDD Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang
2014	B	`conf`	Joint voting prediction for questions and answers in CQA. ASONAM Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu
2014	—	`conf`	MAGE: Matching approximate patterns in richly-attributed graphs. IEEE BigData Robert S. Pienta, Acar Tamersoy, Hanghang Tong, Duen Horng Chau
2014	A	`conf`	Make It or Break It: Manipulating Robustness in Large Networks. SDM Hau Chan, Leman Akoglu, Hanghang Tong
2014	J	`jnl`	Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model. IEEE Trans. Knowl. Data Eng. Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu
2014	A*	`conf`	Predicting long-term impact of CQA posts: a comprehensive viewpoint. KDD Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu
2014	—	`conf`	Query complex graph patterns: tools and applications. WWW (Companion Volume) Hanghang Tong
2014	J	`jnl`	Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation. CoRR Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler
2014	J	`jnl`	Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations. CoRR Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng
2014	—	`ch.`	Subgraph Extraction for Trust Inference in Social Networks. Encyclopedia of Social Network Analysis and Mining Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu
2014	J	`jnl`	The Links Have It: Infobox Generation by Summarization over Linked Entities. CoRR Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang
2014	—	`conf`	User churn in focused question answering sites: characterizations and prediction. WWW (Companion Volume) Jagat Sastry Pudipeddi, Leman Akoglu, Hanghang Tong
2014	A	`conf`	WiiCluster: a Platform for Wikipedia Infobox Generation. CIKM Kezun Zhang, Yanghua Xiao, Hanghang Tong, Haixun Wang, Wei Wang
2013	A*	`conf`	BIG-ALIGN: Fast Bipartite Graph Alignment. ICDM Danai Koutra, Hanghang Tong, David M. Lubensky
2013	—	`ch.`	Big Data Clustering. Data Clustering: Algorithms and Applications Hanghang Tong, U Kang
2013	—	`conf`	Demonstrating Interactive Multi-resolution Large Graph Exploration. ICDM Workshops Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, Duen Horng (Polo) Chau
2013	A	`conf`	Fractional Immunization in Networks. SDM Lada A. Adamic, Christos Faloutsos, Theodore J. Iwashyna, B. Aditya Prakash, Hanghang Tong
2013	J	`jnl`	Large Graph Analysis in the GMine System. IEEE Trans. Knowl. Data Eng. José Fernando Rodrigues Jr., Hanghang Tong, Jia-Yu Pan, Agma J. M. Traina, Caetano Traina Jr., Christos Faloutsos
2013	A*	`conf`	MATRI: a multi-aspect and transitive trust inference model. WWW Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu
2013	A	`conf`	Mining Connection Pathways for Marked Nodes in Large Graphs. SDM Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken
2013	J	`jnl`	Pairwise trust inference by subgraph extraction. Soc. Netw. Anal. Min. Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu
2013	J	`jnl`	SelfTrust: leveraging self-assessment for trust inference in Internetware. Sci. China Inf. Sci. Yuan Yao, Feng Xu, Yongli Ren, Hanghang Tong, Jian Lü
2013	J	`jnl`	Semi-supervised learning with nuclear norm regularization. Pattern Recognit. Fanhua Shang, Licheng Jiao, Yuanyuan Liu, Hanghang Tong
2013	J	`jnl`	Want a Good Answer? Ask a Good Question First! CoRR Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu
2012	J	`jnl`	An effective framework for characterizing rare categories. Frontiers Comput. Sci. Jingrui He, Hanghang Tong, Jaime G. Carbonell
2012	A	`conf`	Fast Random Walk Graph Kernel. SDM U Kang, Hanghang Tong, Jimeng Sun
2012	A	`conf`	Fast and reliable anomaly detection in categorical data. CIKM Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos
2012	J	`jnl`	Gateway finder in large graphs: problem definitions and fast solutions. Inf. Retr. Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad
2012	A	`conf`	Gelling, and melting, large graphs by edge manipulation. CIKM Hanghang Tong, B. Aditya Prakash, Tina Eliassi-Rad, Michalis Faloutsos, Christos Faloutsos
2012	—	`conf`	GenDeR: A Generic Diversified Ranking Algorithm. NIPS Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw K. Szymanski
2012	J	`jnl`	Guest editorial: special issue on data mining technologies for computational social science. Data Min. Knowl. Discov. Fei Wang, Hanghang Tong, Philip S. Yu, Charu C. Aggarwal
2012	B	`conf`	Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs. ASONAM Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos
2012	J	`jnl`	MaTrust: An Effective Multi-Aspect Trust Inference Model CoRR Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu
2012	J	`jnl`	Non-negative residual matrix factorization: problem definition, fast solutions, and applications. Stat. Anal. Data Min. Hanghang Tong, Ching-Yung Lin
2012	—	`conf`	Overlapping Clustering with Sparseness Constraints. ICDM Workshops Haibing Lu, Yuan Hong, W. Nick Street, Fei Wang, Hanghang Tong
2012	A	`conf`	PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs. SDM Leman Akoglu, Hanghang Tong, Brendan Meeder, Christos Faloutsos
2012	A*	`conf`	RolX: structural role extraction & mining in large graphs. KDD Keith Henderson, Brian Gallagher, Tina Eliassi-Rad, Hanghang Tong, Sugato Basu, Leman Akoglu, Danai Koutra, Christos Faloutsos, Lei Li
2012	J	`jnl`	Social Network Analysis in Enterprise. Proc. IEEE Ching-Yung Lin, Lynn Wu, Zhen Wen, Hanghang Tong, Vicky Griffiths-Fisher, Lei Shi, David M. Lubensky
2012	B	`conf`	Subgraph Extraction for Trust Inference in Social Networks. ASONAM Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu
2012	A*	`conf`	SympGraph: a framework for mining clinical notes through symptom relation graphs. KDD Parikshit Sondhi, Jimeng Sun, Hanghang Tong, ChengXiang Zhai
2012	A*	`conf`	TourViz: interactive visualization of connection pathways in large graphs. KDD Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos
2012	—	`conf`	Which Topic Will You Follow? ECML/PKDD (2) Deqing Yang, Yanghua Xiao, Bo Xu, Hanghang Tong, Wei Wang, Sheng Huang
2012	J	`jnl`	gbase: an efficient analysis platform for large graphs. VLDB J. U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos
2011	A	`conf`	Centralities in Large Networks: Algorithms and Observations. SDM U Kang, Spiros Papadimitriou, Jimeng Sun, Hanghang Tong
2011	A*	`conf`	Diversified ranking on large graphs: an optimization viewpoint. KDD Hanghang Tong, Jingrui He, Zhen Wen, Ravi B. Konuru, Ching-Yung Lin
2011	B	`conf`	Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point. Networking (1) Nicholas Valler, B. Aditya Prakash, Hanghang Tong, Michalis Faloutsos, Christos Faloutsos
2011	A*	`conf`	GBASE: a scalable and general graph management system. KDD U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos
2011	A*	`conf`	Information spreading in context. WWW Dashun Wang, Zhen Wen, Hanghang Tong, Ching-Yung Lin, Chaoming Song, Albert-László Barabási
2011	A*	`conf`	It's who you know: graph mining using recursive structural features. KDD Keith Henderson, Brian Gallagher, Lei Li, Leman Akoglu, Tina Eliassi-Rad, Hanghang Tong, Christos Faloutsos
2011	A	`conf`	Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection. SDM Hanghang Tong, Ching-Yung Lin
2011	—	`conf`	Recommending People in Developers' Collaboration Network. WCRE Didi Surian, Nian Liu, David Lo, Hanghang Tong, Ee-Peng Lim, Christos Faloutsos
2011	A*	`conf`	Towards Evolutionary Nonnegative Matrix Factorization. AAAI Fei Wang, Hanghang Tong, Ching-Yung Lin
2010	—	`conf`	BASSET: Scalable Gateway Finder in Large Graphs. PAKDD (2) Hanghang Tong, Spiros Papadimitriou, Christos Faloutsos, Philip S. Yu, Tina Eliassi-Rad
2010	A*	`conf`	Metric forensics: a multi-level approach for mining volatile graphs. KDD Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong
2010	A*	`conf`	On the Vulnerability of Large Graphs. ICDM Hanghang Tong, B. Aditya Prakash, Charalampos E. Tsourakakis, Tina Eliassi-Rad, Christos Faloutsos, Duen Horng Chau
2010	—	`ch.`	Proximity Tracking on Dynamic Bipartite Graphs: Problem Definitions and Fast Solutions. Link Mining Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos
2010	A*	`conf`	Rare Category Characterization. ICDM Jingrui He, Hanghang Tong, Jaime G. Carbonell
2010	—	`conf`	Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms. ECML/PKDD (3) B. Aditya Prakash, Hanghang Tong, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos
2009	—	`ch.`	Direction-Aware Proximity on Graphs. Encyclopedia of Data Warehousing and Mining Hanghang Tong, Yehuda Koren, Christos Faloutsos
2009	A*	`conf`	TANGENT: a novel, 'Surprise me', recommendation algorithm. KDD Kensuke Onuma, Hanghang Tong, Christos Faloutsos
2009	A	`conf`	iPoG: fast interactive proximity querying on graphs. CIKM Hanghang Tong, Huiming Qu, Hani Jamjoom, Christos Faloutsos
2008	A*	`conf`	Colibri: fast mining of large static and dynamic graphs. KDD Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, Philip S. Yu, Christos Faloutsos
2008	J	`jnl`	Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs. Stat. Anal. Data Min. Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos
2008	A	`conf`	Fast mining of complex time-stamped events. CIKM Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, Christos Faloutsos
2008	—	`conf`	GRAPHITE: A Visual Query System for Large Graphs. ICDM Workshops Duen Horng Chau, Christos Faloutsos, Hanghang Tong, Jason I. Hong, Brian Gallagher, Tina Eliassi-Rad
2008	A*	`conf`	Measuring Proximity on Graphs with Side Information. ICDM Hanghang Tong, Huiming Qu, Hani Jamjoom
2008	A	`conf`	Proximity Tracking on Time-Evolving Bipartite Graphs. SDM Hanghang Tong, Spiros Papadimitriou, Philip S. Yu, Christos Faloutsos
2008	J	`jnl`	Random walk with restart: fast solutions and applications. Knowl. Inf. Syst. Hanghang Tong, Christos Faloutsos, Jia-Yu Pan
2008	A*	`conf`	Using ghost edges for classification in sparsely labeled networks. KDD Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, Christos Faloutsos
2007	A*	`conf`	Fast best-effort pattern matching in large attributed graphs. KDD Hanghang Tong, Christos Faloutsos, Brian Gallagher, Tina Eliassi-Rad
2007	A*	`conf`	Fast direction-aware proximity for graph mining. KDD Hanghang Tong, Christos Faloutsos, Yehuda Koren
2006	A*	`conf`	Center-piece subgraphs: problem definition and fast solutions. KDD Hanghang Tong, Christos Faloutsos
2006	A*	`conf`	Fast Random Walk with Restart and Its Applications. ICDM Hanghang Tong, Christos Faloutsos, Jia-Yu Pan
2006	A*	`conf`	GMine: A System for Scalable, Interactive Graph Visualization and Mining. VLDB José Fernando Rodrigues Jr., Hanghang Tong, Agma J. M. Traina, Christos Faloutsos, Jure Leskovec
2006	J	`jnl`	Generalized Manifold-Ranking-Based Image Retrieval. IEEE Trans. Image Process. Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang
2006	J	`jnl`	Manifold-Ranking-Based Keyword Propagation for Image Retrieval. EURASIP J. Adv. Signal Process. Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Hong-Jiang Zhang, Changshui Zhang
2005	—	`conf`	A Unified Optimization Based Learning Method for Image Retrieval. CVPR (2) Hanghang Tong, Jingrui He, Mingjing Li, Wei-Ying Ma, Changshui Zhang, HongJiang Zhang
2005	—	`conf`	Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier. ISNN (3) Hanghang Tong, Chongrong Li, Jingrui He, Jiajian Chen, Quang-Anh Tran, Hai-Xin Duan, Xing Li
2005	—	`conf`	Boosting Web Image Search by Co-Ranking. ICASSP (2) Jingrui He, Changshui Zhang, Nanyuan Zhao, Hanghang Tong
2005	A*	`conf`	Graph based multi-modality learning. ACM Multimedia Hanghang Tong, Jingrui He, Mingjing Li, Changshui Zhang, Wei-Ying Ma
2005	—	`conf`	Internet Traffic Prediction by W-Boost: Classification and Regression. ISNN (3) Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen
2005	B	`conf`	Learning No-Reference Quality Metric by Examples. MMM Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang, Jingrui He, Wei-Ying Ma
2005	—	`conf`	Multiple random walk and its application in content-based image retrieval. Multimedia Information Retrieval Jingrui He, Hanghang Tong, Mingjing Li, Wei-Ying Ma, Changshui Zhang
2004	—	`conf`	A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction. ISNN (2) Hanghang Tong, Chongrong Li, Jingrui He
2004	—	`conf`	Automatic Peak Number Detection in Image Symmetry Analysis. PCM (3) Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang
2004	A	`conf`	Blur detection for digital images using wavelet transform. ICME Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang
2004	—	`conf`	Classification of Digital Photos Taken by Photographers or Home Users. PCM (1) Hanghang Tong, Mingjing Li, HongJiang Zhang, Jingrui He, Changshui Zhang
2004	A*	`conf`	Manifold-ranking based image retrieval. ACM Multimedia Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang
2004	—	`conf`	Mean version space: a new active learning method for content-based image retrieval. Multimedia Information Retrieval Jingrui He, Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang
2004	B	`conf`	No-reference quality assessment for JPEG2000 compressed images. ICIP Hanghang Tong, Mingjing Li, HongJiang Zhang, Changshui Zhang
2004	—	`conf`	Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval. PCM (2) Jingrui He, Mingjing Li, Zhiwei Li, HongJiang Zhang, Hanghang Tong, Changshui Zhang