Chao Huang - RankMe

252 papers A* 69A 31B 10Journal 122Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Survey on Self-Supervised Learning for Recommendation. ACM Comput. Surv. Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang
2026	—	`conf`	VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos. KDD (1) Xubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang
2025	J	`jnl`	AI-Researcher: Autonomous Scientific Innovation. CoRR Jiabin Tang, Lianghao Xia, Zhonghang Li, Chao Huang
2025	J	`jnl`	AI-Trader: Benchmarking Autonomous Agents in Real-Time Financial Markets. CoRR Tianyu Fan, Yuhao Yang, Yangqin Jiang, Yifei Zhang, Yuxuan Chen, Chao Huang
2025	J	`jnl`	AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents. CoRR Jiabin Tang, Tianyu Fan, Chao Huang
2025	J	`jnl`	DeepCode: Open Agentic Coding. CoRR Zongwei Li, Zhonghang Li, Zirui Guo, Xubin Ren, Chao Huang
2025	A	`conf`	DiffGraph: Heterogeneous Graph Diffusion Model. WSDM Zongwei Li, Lianghao Xia, Hua Hua, Shijie Zhang, Shuangyang Wang, Chao Huang
2025	J	`jnl`	DiffGraph: Heterogeneous Graph Diffusion Model. CoRR Zongwei Li, Lianghao Xia, Hua Hua, Shijie Zhang, Shuangyang Wang, Chao Huang
2025	J	`jnl`	Dual-Channel Multiplex Graph Neural Networks for Recommendation. IEEE Trans. Knowl. Data Eng. Xiang Li, Chaofan Fu, Zhongying Zhao, Guangjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong
2025	A*	`conf`	EasyRec: Simple yet Effective Language Models for Recommendation. EMNLP Xubin Ren, Chao Huang
2025	A*	`conf`	GraphAgent: Agentic Graph Language Assistant. EMNLP Yuhao Yang, Jiabin Tang, Lianghao Xia, Xingchen Zou, Yuxuan Liang, Chao Huang
2025	A*	`conf`	Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. ICLR Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang
2025	A	`conf`	LightGNN: Simple Graph Neural Network for Recommendation. WSDM Guoxuan Chen, Lianghao Xia, Chao Huang
2025	J	`jnl`	LightGNN: Simple Graph Neural Network for Recommendation. CoRR Guoxuan Chen, Lianghao Xia, Chao Huang
2025	—	`conf`	LightRAG: Simple and Fast Retrieval-Augmented Generation. EMNLP (Findings) Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao Huang
2025	J	`jnl`	MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation. CoRR Tianyu Fan, Jingyuan Wang, Xubin Ren, Chao Huang
2025	A	`conf`	MixRec: Heterogeneous Graph Collaborative Filtering. WSDM Lianghao Xia, Meiyan Xie, Yong Xu, Chao Huang
2025	A*	`conf`	Pre-training for Recommendation Unlearning. SIGIR Guoxuan Chen, Lianghao Xia, Chao Huang
2025	J	`jnl`	Pre-training for Recommendation Unlearning. CoRR Guoxuan Chen, Lianghao Xia, Chao Huang
2025	J	`jnl`	RAG-Anything: All-in-One RAG Framework. CoRR Zirui Guo, Xubin Ren, Lingrui Xu, Jiahao Zhang, Chao Huang
2025	A*	`conf`	RecGPT: A Foundation Model for Sequential Recommendation. EMNLP Yangqin Jiang, Xubin Ren, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2025	J	`jnl`	RecGPT: A Foundation Model for Sequential Recommendation. CoRR Yangqin Jiang, Xubin Ren, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2025	—	`conf`	RecLM: Recommendation Instruction Tuning. ACL (1) Yangqin Jiang, Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2025	—	`conf`	Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction. KDD (1) Jiahao Ji, Wentao Zhang, Jingyuan Wang, Chao Huang
2025	—	`conf`	Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs. SIGSPATIAL/GIS Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Chao Chen, Yuxuan Liang
2025	J	`jnl`	Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems. CoRR Xingchen Zou, Yuhao Yang, Zheng Chen, Xixuan Hao, Yiqi Chen, Chao Huang, Yuxuan Liang
2025	J	`jnl`	Unsupervised Low-Light Image Enhancement With Self-Paced Learning. IEEE Trans. Multim. Yu Luo, Xuanrong Chen, Jie Ling, Chao Huang, Wei Zhou, Guanghui Yue
2025	J	`jnl`	Urban Computing in the Era of Large Language Models. CoRR Zhonghang Li, Lianghao Xia, Xubin Ren, Jiabin Tang, Tianyi Chen, Yong Xu, Chao Huang
2025	J	`jnl`	Urban Computing in the Era of Large Language Models. ACM Trans. Intell. Syst. Technol. Zhonghang Li, Lianghao Xia, Xubin Ren, Jiabin Tang, Tianyi Chen, Yong Xu, Chao Huang
2025	J	`jnl`	VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos. CoRR Xubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang
2024	J	`jnl`	A Comprehensive Survey on Self-Supervised Learning for Recommendation. CoRR Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang
2024	A*	`conf`	A Survey of Large Language Models for Graphs. KDD Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang
2024	J	`jnl`	A Survey of Large Language Models for Graphs. CoRR Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang
2024	J	`jnl`	AnyGraph: Graph Foundation Model in the Wild. CoRR Lianghao Xia, Chao Huang
2024	A	`conf`	DiffKG: Knowledge Graph Diffusion Model for Recommendation. WSDM Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang
2024	A*	`conf`	DiffMM: Multi-Modal Diffusion Model for Recommendation. ACM Multimedia Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang
2024	J	`jnl`	DiffMM: Multi-Modal Diffusion Model for Recommendation. CoRR Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang
2024	J	`jnl`	Dual-Channel Multiplex Graph Neural Networks for Recommendation. CoRR Xiang Li, Chaofan Fu, Zhongying Zhao, Guanjie Zheng, Chao Huang, Junyu Dong, Yanwei Yu
2024	J	`jnl`	EasyRec: Simple yet Effective Language Models for Recommendation. CoRR Xubin Ren, Chao Huang
2024	A	`conf`	EasyST: A Simple Framework for Spatio-Temporal Prediction. CIKM Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang
2024	J	`jnl`	EasyST: A Simple Framework for Spatio-Temporal Prediction. CoRR Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang
2024	A*	`conf`	FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. ICML Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2024	J	`jnl`	FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. CoRR Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2024	A*	`conf`	Graph Augmentation for Recommendation. ICDE Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen
2024	J	`jnl`	Graph Augmentation for Recommendation. CoRR Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen
2024	J	`jnl`	GraphAgent: Agentic Graph Language Assistant. CoRR Yuhao Yang, Jiabin Tang, Lianghao Xia, Xingchen Zou, Yuxuan Liang, Chao Huang
2024	J	`jnl`	GraphEdit: Large Language Models for Graph Structure Learning. CoRR Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang
2024	A*	`conf`	GraphGPT: Graph Instruction Tuning for Large Language Models. SIGIR Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
2024	A*	`conf`	GraphPro: Graph Pre-training and Prompt Learning for Recommendation. WWW Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2024	A*	`conf`	HiGPT: Heterogeneous Graph Language Model. KDD Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	J	`jnl`	HiGPT: Heterogeneous Graph Language Model. CoRR Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	J	`jnl`	Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. CoRR Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang
2024	A	`conf`	LLMRec: Large Language Models with Graph Augmentation for Recommendation. WSDM Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024	—	`conf`	Large Language Models for Graphs: Progresses and Directions. WWW (Companion Volume) Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla
2024	J	`jnl`	Learning Geospatial Region Embedding with Heterogeneous Graph. CoRR Xingchen Zou, Jiani Huang, Xixuan Hao, Yuhao Yang, Haomin Wen, Yibo Yan, Chao Huang, Yuxuan Liang
2024	J	`jnl`	LightRAG: Simple and Fast Retrieval-Augmented Generation. CoRR Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao Huang
2024	J	`jnl`	MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation. ACM Trans. Inf. Syst. Shuzhe Li, Wei Chen, Bin Wang, Chao Huang, Yanwei Yu, Junyu Dong
2024	J	`jnl`	MHGCN+: Multiplex Heterogeneous Graph Convolutional Network. ACM Trans. Intell. Syst. Technol. Chaofan Fu, Pengyang Yu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
2024	A*	`conf`	MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline. KDD Guangming Sheng, Junwei Su, Chao Huang, Chuan Wu
2024	J	`jnl`	MSPipe: Efficient Temporal GNN Training via Staleness-aware Pipeline. CoRR Guangming Sheng, Junwei Su, Chao Huang, Chuan Wu
2024	J	`jnl`	MixRec: Heterogeneous Graph Collaborative Filtering. CoRR Lianghao Xia, Meiyan Xie, Yong Xu, Chao Huang
2024	J	`jnl`	Multi-Behavior Graph Neural Networks for Recommender System. IEEE Trans. Neural Networks Learn. Syst. Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
2024	J	`jnl`	Multi-Channel Hypergraph Contrastive Learning for Matrix Completion. CoRR Xiang Li, Changsheng Shui, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
2024	J	`jnl`	OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction. CoRR Zhonghang Li, Long Xia, Lei Shi, Yong Xu, Dawei Yin, Chao Huang
2024	—	`conf`	OpenGraph: Towards Open Graph Foundation Models. EMNLP (Findings) Lianghao Xia, Ben Kao, Chao Huang
2024	J	`jnl`	OpenGraph: Towards Open Graph Foundation Models. CoRR Lianghao Xia, Ben Kao, Chao Huang
2024	A*	`conf`	PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. WWW Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, Chao Huang
2024	J	`jnl`	PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. CoRR Wei Wei, Jiabin Tang, Yangqin Jiang, Lianghao Xia, Chao Huang
2024	A	`conf`	RecDiff: Diffusion Model for Social Recommendation. CIKM Zongwei Li, Lianghao Xia, Chao Huang
2024	J	`jnl`	RecDiff: Diffusion Model for Social Recommendation. CoRR Zongwei Li, Lianghao Xia, Chao Huang
2024	J	`jnl`	RecLM: Recommendation Instruction Tuning. CoRR Yangqin Jiang, Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2024	—	`conf`	Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency. ECML/PKDD (3) Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
2024	A*	`conf`	Representation Learning with Large Language Models for Recommendation. WWW Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2024	A	`conf`	SSLRec: A Self-Supervised Learning Framework for Recommendation. WSDM Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang
2024	A*	`conf`	SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. SIGIR Yuxi Liu, Lianghao Xia, Chao Huang
2024	J	`jnl`	SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. CoRR Yuxi Liu, Lianghao Xia, Chao Huang
2024	J	`jnl`	Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks. ACM Trans. Knowl. Discov. Data Wei Chen, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong
2024	A*	`conf`	UrbanGPT: Spatio-Temporal Large Language Models. KDD Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	J	`jnl`	UrbanGPT: Spatio-Temporal Large Language Models. CoRR Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024	—	`conf`	XRec: Large Language Models for Explainable Recommendation. EMNLP (Findings) Qiyao Ma, Xubin Ren, Chao Huang
2024	J	`jnl`	XRec: Large Language Models for Explainable Recommendation. CoRR Qiyao Ma, Xubin Ren, Chao Huang
2023	A*	`conf`	Adaptive Graph Contrastive Learning for Recommendation. KDD Yangqin Jiang, Chao Huang, Lianghao Huang
2023	J	`jnl`	Adaptive Graph Contrastive Learning for Recommendation. CoRR Yangqin Jiang, Chao Huang, Lianghao Xia
2023	A*	`conf`	Automated Self-Supervised Learning for Recommendation. WWW Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao
2023	J	`jnl`	Automated Self-Supervised Learning for Recommendation. CoRR Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao
2023	A*	`conf`	Automated Spatio-Temporal Graph Contrastive Learning. WWW Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu
2023	J	`jnl`	Automated Spatio-Temporal Graph Contrastive Learning. CoRR Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu
2023	A*	`conf`	Debiased Contrastive Learning for Sequential Recommendation. WWW Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin
2023	J	`jnl`	Debiased Contrastive Learning for Sequential Recommendation. CoRR Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin
2023	A*	`conf`	Denoised Self-Augmented Learning for Social Recommendation. IJCAI Tianle Wang, Lianghao Xia, Chao Huang
2023	J	`jnl`	Denoised Self-Augmented Learning for Social Recommendation. CoRR Tianle Wang, Lianghao Xia, Chao Huang
2023	J	`jnl`	DiffKG: Knowledge Graph Diffusion Model for Recommendation. CoRR Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang
2023	A*	`conf`	Disentangled Contrastive Collaborative Filtering. SIGIR Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
2023	J	`jnl`	Disentangled Contrastive Collaborative Filtering. CoRR Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang
2023	A*	`conf`	Disentangled Graph Social Recommendation. ICDE Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei
2023	J	`jnl`	Disentangled Graph Social Recommendation. CoRR Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei
2023	J	`jnl`	Do We Really Need Graph Neural Networks for Traffic Forecasting? CoRR Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
2023	J	`jnl`	Dynamic Multi-View Graph Neural Networks for Citywide Traffic Inference. ACM Trans. Knowl. Discov. Data Shaojie Dai, Jinshuai Wang, Chao Huang, Yanwei Yu, Junyu Dong
2023	A	`conf`	Explainable Spatio-Temporal Graph Neural Networks. CIKM Jiabin Tang, Lianghao Xia, Chao Huang
2023	J	`jnl`	Explainable Spatio-Temporal Graph Neural Networks. CoRR Jiabin Tang, Lianghao Xia, Chao Huang
2023	A*	`conf`	Fair Graph Representation Learning via Diverse Mixture-of-Experts. WWW Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang
2023	A*	`conf`	GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. NeurIPS Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2023	J	`jnl`	GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. CoRR Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang
2023	A*	`conf`	Graph Masked Autoencoder for Sequential Recommendation. SIGIR Yaowen Ye, Lianghao Xia, Chao Huang
2023	J	`jnl`	Graph Masked Autoencoder for Sequential Recommendation. CoRR Yaowen Ye, Lianghao Xia, Chao Huang
2023	J	`jnl`	Graph Pre-training and Prompt Learning for Recommendation. CoRR Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang
2023	A*	`conf`	Graph Structure Learning on User Mobility Data for Social Relationship Inference. AAAI Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong
2023	A*	`conf`	Graph Transformer for Recommendation. SIGIR Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
2023	J	`jnl`	Graph Transformer for Recommendation. CoRR Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang
2023	A*	`conf`	Graph-less Collaborative Filtering. WWW Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu
2023	J	`jnl`	Graph-less Collaborative Filtering. CoRR Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu
2023	J	`jnl`	GraphGPT: Graph Instruction Tuning for Large Language Models. CoRR Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
2023	A	`conf`	Heterogeneous Graph Contrastive Learning for Recommendation. WSDM Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
2023	J	`jnl`	Heterogeneous Graph Contrastive Learning for Recommendation. CoRR Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo
2023	A	`conf`	How Expressive are Graph Neural Networks in Recommendation? CIKM Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang
2023	J	`jnl`	How Expressive are Graph Neural Networks in Recommendation? CoRR Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang
2023	A*	`conf`	Knowledge Graph Self-Supervised Rationalization for Recommendation. KDD Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang
2023	J	`jnl`	Knowledge Graph Self-Supervised Rationalization for Recommendation. CoRR Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang
2023	J	`jnl`	LLMRec: Large Language Models with Graph Augmentation for Recommendation. CoRR Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2023	A*	`conf`	LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. NeurIPS Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann
2023	J	`jnl`	LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. CoRR Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann
2023	A*	`conf`	LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. ICLR Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren
2023	J	`jnl`	LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. CoRR Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren
2023	J	`jnl`	Multi-Behavior Graph Neural Networks for Recommender System. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo
2023	J	`jnl`	Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. IEEE Trans. Knowl. Data Eng. Lianghao Xia, Chao Huang, Yong Xu, Jian Pei
2023	A*	`conf`	Multi-Modal Self-Supervised Learning for Recommendation. WWW Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
2023	J	`jnl`	Multi-Modal Self-Supervised Learning for Recommendation. CoRR Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang
2023	A	`conf`	Multi-Relational Contrastive Learning for Recommendation. RecSys Wei Wei, Lianghao Xia, Chao Huang
2023	J	`jnl`	Multi-Relational Contrastive Learning for Recommendation. CoRR Wei Wei, Lianghao Xia, Chao Huang
2023	A*	`conf`	Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling. KDD Chaofan Fu, Guanjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong
2023	A*	`conf`	Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. ICDE Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
2023	J	`jnl`	Representation Learning with Large Language Models for Recommendation. CoRR Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang
2023	J	`jnl`	Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE. Knowl. Based Syst. Yunfei Shi, Bin Wang, Yanwei Yu, Xianfeng Tang, Chao Huang, Junyu Dong
2023	J	`jnl`	SSLRec: A Self-Supervised Learning Library for Recommendation. CoRR Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang
2023	J	`jnl`	Self-Supervised Deconfounding Against Spatio-Temporal Shifts: Theory and Modeling. CoRR Jiahao Ji, Wentao Zhang, Jingyuan Wang, Yue He, Chao Huang
2023	A*	`conf`	Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. ICML Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han
2023	J	`jnl`	Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. CoRR Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu-Ming Yiu, Ruihua Han
2023	A	`conf`	Spatio-Temporal Meta Contrastive Learning. CIKM Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang
2023	J	`jnl`	Spatio-Temporal Meta Contrastive Learning. CoRR Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang
2023	A*	`conf`	Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. AAAI Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng
2023	J	`jnl`	Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks. CoRR Wei Chen, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong
2023	A*	`conf`	When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. ICML Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. CoRR Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang
2022	J	`jnl`	Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. ACM Trans. Inf. Syst. Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang
2022	A	`conf`	Contrastive Meta Learning with Behavior Multiplicity for Recommendation. WSDM Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
2022	J	`jnl`	Contrastive Meta Learning with Behavior Multiplicity for Recommendation. CoRR Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin
2022	J	`jnl`	Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning. CoRR Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Heterogeneous graph neural network for attribute completion. Knowl. Based Syst. Kai Wang, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
2022	A*	`conf`	Hypergraph Contrastive Collaborative Filtering. SIGIR Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang
2022	J	`jnl`	Hypergraph Contrastive Collaborative Filtering. CoRR Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang
2022	A*	`conf`	Knowledge Graph Contrastive Learning for Recommendation. SIGIR Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li
2022	J	`jnl`	Knowledge Graph Contrastive Learning for Recommendation. CoRR Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li
2022	A	`conf`	Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. CIKM Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo
2022	A*	`conf`	Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. KDD Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
2022	J	`jnl`	Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. CoRR Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li
2022	J	`jnl`	Multi-Behavior Sequential Recommendation with Temporal Graph Transformer. CoRR Lianghao Xia, Chao Huang, Yong Xu, Jian Pei
2022	A*	`conf`	Multiplex Heterogeneous Graph Convolutional Network. KDD Pengyang Yu, Chaofan Fu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
2022	J	`jnl`	Multiplex Heterogeneous Graph Convolutional Network. CoRR Pengyang Yu, Chaofan Fu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong
2022	A*	`conf`	Mutual Distillation Learning Network for Trajectory-User Linking. IJCAI Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong
2022	J	`jnl`	Mutual Distillation Learning Network for Trajectory-User Linking. CoRR Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong
2022	J	`jnl`	Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. CoRR Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
2022	A*	`conf`	RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. IJCAI Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
2022	J	`jnl`	RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. CoRR Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
2022	J	`jnl`	Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series. ACM Trans. Intell. Syst. Technol. Xian Wu, Chao Huang, Pablo Robles-Granda, Nitesh V. Chawla
2022	A*	`conf`	Scalable Motif Counting for Large-scale Temporal Graphs. ICDE Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong
2022	J	`jnl`	Scalable Motif Counting for Large-scale Temporal Graphs. CoRR Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong
2022	A*	`conf`	Self-Supervised Hypergraph Transformer for Recommender Systems. KDD Lianghao Xia, Chao Huang, Chuxu Zhang
2022	J	`jnl`	Self-Supervised Hypergraph Transformer for Recommender Systems. CoRR Lianghao Xia, Chao Huang, Chuxu Zhang
2022	A	`conf`	Self-Supervised Learning for Recommendation. CIKM Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin
2022	A*	`conf`	Self-Supervised Learning for Recommender System. SIGIR Chao Huang, Xiang Wang, Xiangnan He, Dawei Yin
2022	A*	`conf`	Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. ICDE Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
2022	J	`jnl`	Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. CoRR Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei
2022	J	`jnl`	Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
2022	J	`jnl`	Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. CoRR Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng
2022	—	`conf`	When do contrastive learning signals help spatio-temporal graph forecasting? SIGSPATIAL/GIS Xu Liu, Yuxuan Liang, Chao Huang, Yu Zheng, Bryan Hooi, Roger Zimmermann
2021	J	`jnl`	Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. CoRR Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
2021	A*	`conf`	Graph Meta Network for Multi-Behavior Recommendation. SIGIR Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
2021	J	`jnl`	Graph Meta Network for Multi-Behavior Recommendation. CoRR Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo
2021	A*	`conf`	Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. AAAI Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
2021	J	`jnl`	Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. CoRR Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang
2021	J	`jnl`	Inductive Contextual Relation Learning for Personalization. ACM Trans. Inf. Syst. Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla
2021	A*	`conf`	Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo
2021	J	`jnl`	Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo
2021	A*	`conf`	Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
2021	J	`jnl`	Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye
2021	A*	`conf`	Motif-Preserving Dynamic Attributed Network Embedding. WWW Zhijun Liu, Chao Huang, Yanwei Yu, Junyu Dong
2021	A*	`conf`	Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. ICDE Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo
2021	J	`jnl`	Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. CoRR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
2021	A*	`conf`	Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks. ICDE Chao Huang, Jiashu Zhao, Dawei Yin
2021	A	`conf`	Social Recommendation with Self-Supervised Metagraph Informax Network. CIKM Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo
2021	J	`jnl`	Social Recommendation with Self-Supervised Metagraph Informax Network. CoRR Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo
2021	A*	`conf`	Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. IJCAI Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen
2021	A*	`conf`	Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference. ICDM Shaojie Dai, Jinshuai Wang, Chao Huang, Yanwei Yu, Junyu Dong
2021	A*	`conf`	Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
2021	J	`jnl`	Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. CoRR Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng
2020	A*	`conf`	Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. IJCAI Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo
2020	A	`conf`	Dynamic Representation Learning for Large-Scale Attributed Networks. CIKM Zhijun Liu, Chao Huang, Yanwei Yu, Peng Song, Baode Fan, Junyu Dong
2020	A	`conf`	Fast Attributed Multiplex Heterogeneous Network Embedding. CIKM Zhijun Liu, Chao Huang, Yanwei Yu, Baode Fan, Junyu Dong
2020	A*	`conf`	Few-Shot Knowledge Graph Completion. AAAI Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
2020	A*	`conf`	Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. ICDM Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin
2020	A*	`conf`	Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting. WWW Xian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla
2020	A	`conf`	Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. ECAI Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo
2020	A*	`conf`	Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. SIGIR Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
2020	J	`jnl`	On Physical-Social-Aware Localness Inference by Exploring Big Data from Location-Based Services. IEEE Trans. Big Data Chao Huang, Dong Wang, Jun Tao, Brian Mann
2020	A	`conf`	Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer. CIKM Xian Wu, Stephen M. Mattingly, Shayan Mirjafari, Chao Huang, Nitesh V. Chawla
2020	J	`jnl`	Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series. CoRR Xian Wu, Chao Huang, Pablo Robles-Granda, Nitesh V. Chawla
2020	J	`jnl`	Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems. IEEE Trans. Big Data Chao Huang, Dong Wang, Nitesh V. Chawla
2020	A	`conf`	Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. CIKM Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia
2019	A	`conf`	Deep Dynamic Fusion Network for Traffic Accident Forecasting. CIKM Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo
2019	A	`conf`	Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity. CIKM Chao Huang, Xian Wu, Xuchao Zhang, Suwen Lin, Nitesh V. Chawla
2019	J	`jnl`	Few-Shot Knowledge Graph Completion. CoRR Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
2019	J	`jnl`	Heterogeneous Deep Graph Infomax. CoRR Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang
2019	A*	`conf`	Heterogeneous Graph Neural Network. KDD Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla
2019	A*	`conf`	MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. WWW Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin
2019	A	`conf`	Neural Tensor Factorization for Temporal Interaction Learning. WSDM Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla
2019	A*	`conf`	Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. KDD Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla
2019	A	`conf`	Similarity-Aware Network Embedding with Self-Paced Learning. CIKM Chao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla
2018	A*	`conf`	Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification. WWW Chuxu Zhang, Chao Huang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla
2018	A	`conf`	DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction. CIKM Chao Huang, Junbo Zhang, Yu Zheng, Nitesh V. Chawla
2018	J	`jnl`	Neural Tensor Factorization. CoRR Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla
2018	A	`conf`	RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data. CIKM Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Louis Faust, Nitesh V. Chawla
2018	B	`conf`	Towards Reliable Hypothesis Validation in Social Sensing Applications. SECON Dong Wang, Daniel Zhang, Chao Huang
2018	J	`jnl`	Who to select: Identifying critical sources in social sensing. Knowl. Based Syst. Dong Wang, Nathan Vance, Chao Huang
2017	J	`jnl`	An Unsupervised Approach to Inferring the Localness of People Using Incomplete Geotemporal Online Check-In Data. ACM Trans. Intell. Syst. Technol. Chao Huang, Dong Wang, Jun Tao
2017	J	`jnl`	Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline. CoRR Keith Feldman, Louis Faust, Xian Wu, Chao Huang, Nitesh V. Chawla
2017	B	`conf`	Critical Source Selection in Social Sensing Applications. DCOSS Chao Huang, Dong Wang
2017	J	`jnl`	Exploring Scalability and Time-Sensitiveness in Reliable Social Sensing With Accuracy Assessment. IEEE Access Chao Huang, Dong Wang
2017	—	`conf`	Reliable fake review detection via modeling temporal and behavioral patterns. IEEE BigData Xian Wu, Yuxiao Dong, Jun Tao, Chao Huang, Nitesh V. Chawla
2017	J	`jnl`	Toward local family relationship discovery in location-based social network. Soc. Netw. Anal. Min. Chao Huang, Dong Wang, Shenglong Zhu, Brian Mann
2017	B	`conf`	Towards Diversified Local Users Identification Using Location Based Social Networks. ASONAM Chao Huang, Dong Wang, Shenglong Zhu
2017	A	`conf`	Towards Scalable and Dynamic Social Sensing Using A Distributed Computing Framework. ICDCS Daniel Yue Zhang, Chao Zheng, Dong Wang, Douglas Thain, Xin Mu, Greg Madey, Chao Huang
2017	J	`jnl`	Towards social-aware interesting place finding in social sensing applications. Knowl. Based Syst. Chao Huang, Dong Wang, Brian Mann
2017	—	`conf`	UAPD: Predicting Urban Anomalies from Spatial-Temporal Data. ECML/PKDD (2) Xian Wu, Yuxiao Dong, Chao Huang, Jian Xu, Dong Wang, Nitesh V. Chawla
2017	A*	`conf`	Where are you from: Home location profiling of crowd sensors from noisy and sparse crowdsourcing data. INFOCOM Chao Huang, Dong Wang, Shenglong Zhu
2016	A	`conf`	Crowdsourcing-based Urban Anomaly Prediction System for Smart Cities. CIKM Chao Huang, Xian Wu, Dong Wang
2016	B	`conf`	Exploiting spatial-temporal-social constraints for localness inference using online social media. ASONAM Chao Huang, Dong Wang
2016	—	`conf`	On robust truth discovery in sparse social media sensing. IEEE BigData Daniel Yue Zhang, Rungang Han, Dong Wang, Chao Huang
2016	A	`conf`	Theme-Relevant Truth Discovery on Twitter: An Estimation Theoretic Approach. ICWSM Dong Wang, Jermaine Marshall, Chao Huang
2016	—	`conf`	Topic-Aware Social Sensing with Arbitrary Source Dependency Graphs. IPSN Chao Huang, Dong Wang
2016	—	`conf`	Towards Reliable Social Sensing in Cyber-Physical-Social Systems. IPDPS Workshops Chao Huang, Jermaine Marshall, Dong Wang, Mianxiong Dong
2016	—	`conf`	Towards unsupervised home location inference from online social media. IEEE BigData Chao Huang, Dong Wang, Shenglong Zhu, Daniel Yue Zhang
2016	B	`conf`	Unsupervised Interesting Places Discovery in Location-Based Social Sensing. DCOSS Chao Huang, Dong Wang
2015	—	`conf`	Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline. BIRS-IMLKE Keith Feldman, Louis Faust, Xian Wu, Chao Huang, Nitesh V. Chawla
2015	B	`conf`	Confidence-aware truth estimation in social sensing applications. SECON Dong Wang, Chao Huang
2015	B	`conf`	Demo paper: A confidence-aware truth estimation tool for social sensing applications. SECON Chao Huang, Dong Wang
2015	—	`conf`	Link weight based truth discovery in social sensing. IPSN Chao Huang, Dong Wang
2015	—	`conf`	On Interesting Place Finding in Social Sensing: An Emerging Smart City Application Paradigm. SmartCity Chao Huang, Dong Wang
2015	B	`conf`	On spatial-temporal truth finding in social sensing. SECON Chao Huang, Dong Wang, Nitesh V. Chawla
2015	—	`conf`	Spatial-Temporal Aware Truth Finding in Big Data Social Sensing Applications. TrustCom/BigDataSE/ISPA (2) Chao Huang, Dong Wang
2015	B	`conf`	Time-Aware Truth Discovery in Social Sensing. MASS Chao Huang, Dong Wang
2015	B	`conf`	Towards Time-Sensitive Truth Discovery in Social Sensing Applications. MASS Chao Huang, Dong Wang, Nitesh V. Chawla