Jiawei Zhang - RankMe

238 papers A* 34A 25B 13Misc 2Journal 123Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AIGVE-Tool: AI-Generated Video Evaluation Toolkit with Multifaceted Benchmark. VISAPP (1) Xinhao Xiang, Xiao Liu, Zizhong Li, Zhuosheng Liu, Jiawei Zhang
2026	J	`jnl`	MMViR: A Multi-Modal and Multi-Granularity Representation for Long-range Video Understanding. CoRR Zizhong Li, Haopeng Zhang, Jiawei Zhang
2026	J	`jnl`	OccFace: Unified Occlusion-Aware Facial Landmark Detection with Per-Point Visibility. CoRR Xinhao Xiang, Zhengxin Li, Saurav Dhakad, Theo Bancroft, Jiawei Zhang, Weiyang Li
2026	J	`jnl`	RAPO: Expanding Exploration for LLM Agents via Retrieval-Augmented Policy Optimization. CoRR Siwei Zhang, Yun Xiong, Xi Chen, Zian Jia, Renhong Huang, Jiarong Xu, Jiawei Zhang
2026	J	`jnl`	RoLED: Role-disentangled graph neural network for both homophily and heterophily. Neurocomputing Junda Ye, Zhongbao Zhang, Feiyang Wang, Jiawei Zhang, Li Sun
2026	J	`jnl`	TTSA3R: Training-Free Temporal-Spatial Adaptive Persistent State for Streaming 3D Reconstruction. CoRR Zhijie Zheng, Xinhao Xiang, Jiawei Zhang
2026	—	`conf`	Token-Level Precise Attack on RAG: Searching for the Best Alternatives to Mislead Generation. EACL (Findings) Zizhong Li, Haopeng Zhang, Jiawei Zhang
2025	J	`jnl`	A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models. ACM Comput. Surv. Haopeng Zhang, Philip S. Yu, Jiawei Zhang
2025	J	`jnl`	AIGVE-Tool: AI-Generated Video Evaluation Toolkit with Multifaceted Benchmark. CoRR Xinhao Xiang, Xiao Liu, Zizhong Li, Zhuosheng Liu, Jiawei Zhang
2025	J	`jnl`	Are AI-Generated Driving Videos Ready for Autonomous Driving? A Diagnostic Evaluation Framework. CoRR Xinhao Xiang, Abhijeet Rastogi, Jiawei Zhang
2025	B	`conf`	Learning by Ranking: Data-Efficient Knowledge Distillation from Black-Box LLMs for Information Retrieval. IJCNN Zizhong Li, Haopeng Zhang, Jiawei Zhang
2025	A*	`conf`	Rethinking Time Encoding via Learnable Transformation Functions. ICML Xi Chen, Yateng Tang, Jiarong Xu, Jiawei Zhang, Siwei Zhang, Sijia Peng, Xuehao Zheng, Yun Xiong
2025	J	`jnl`	Rethinking Time Encoding via Learnable Transformation Functions. CoRR Xi Chen, Yateng Tang, Jiarong Xu, Jiawei Zhang, Siwei Zhang, Sijia Peng, Xuehao Zheng, Yun Xiong
2025	J	`jnl`	Token-Level Precise Attack on RAG: Searching for the Best Alternatives to Mislead Generation. CoRR Zizhong Li, Haopeng Zhang, Jiawei Zhang
2025	A	`conf`	Towards Explainable Transaction Risk Analysis With Dual Graph Retrieval Augmented Generation. CIKM Liang Su, Mingyang Zhang, Kangxiang Jia, Tengfei Liu, Weiqiang Wang, Yun Xiong, Xixi Wu, Xinyu Gao, Yongrui Fu, Jiawei Zhang
2025	J	`jnl`	Towards Open-Vocabulary Multimodal 3D Object Detection with Attributes. CoRR Xinhao Xiang, Kuan-Chuan Peng, Suhas Lohit, Michael J. Jones, Jiawei Zhang
2025	J	`jnl`	Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models. CoRR Siwei Zhang, Yun Xiong, Yateng Tang, Xi Chen, Zian Jia, Zehao Gu, Jiarong Xu, Jiawei Zhang
2024	J	`jnl`	A Survey of AI-Generated Video Evaluation. CoRR Xiao Liu, Xinhao Xiang, Zizhong Li, Yongheng Wang, Zhuoheng Li, Zhuosheng Liu, Weidi Zhang, Weiqi Ye, Jiawei Zhang
2024	J	`jnl`	A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models. CoRR Haopeng Zhang, Philip S. Yu, Jiawei Zhang
2024	J	`jnl`	Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition. IEEE Trans. Neural Networks Learn. Syst. Zhiwei Yang, Jing Ma, Hechang Chen, Jiawei Zhang, Yi Chang
2024	J	`jnl`	Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces. CoRR Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu
2024	J	`jnl`	Contrastive sequential interaction network learning on co-evolving Riemannian spaces. Int. J. Mach. Learn. Cybern. Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang, Philip S. Yu
2024	J	`jnl`	Cyclic Neural Network. CoRR Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma, Philip S. Yu
2024	A	`conf`	DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning. CIKM Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang, Guangyong Zheng
2024	J	`jnl`	DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning. CoRR Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang
2024	A	`conf`	DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. CIKM Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang
2024	J	`jnl`	DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. CoRR Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang
2024	J	`jnl`	EffiPerception: an Efficient Framework for Various Perception Tasks. CoRR Xinhao Xiang, Simon Dräger, Jiawei Zhang
2024	A	`conf`	GetCom: An Efficient and Generalizable Framework for Community Detection. CIKM Kaiyu Xiong, Yucheng Jin, Yun Xiong, Jiawei Zhang
2024	—	`conf`	Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han
2024	J	`jnl`	Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. CoRR Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang, Yu Meng, Jiawei Han
2024	J	`jnl`	Intermediate Distillation: Data-Efficient Distillation from Black-Box LLMs for Information Retrieval. CoRR Zizhong Li, Haopeng Zhang, Jiawei Zhang
2024	A*	`conf`	ProCom: A Few-shot Targeted Community Detection Algorithm. KDD Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang
2024	J	`jnl`	ProCom: A Few-shot Targeted Community Detection Algorithm. CoRR Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang
2024	J	`jnl`	Prompt Learning on Temporal Interaction Graphs. CoRR Xi Chen, Siwei Zhang, Yun Xiong, Xixi Wu, Jiawei Zhang, Xiangguo Sun, Yao Zhang, Feng Zhao, Yulin Kang
2024	A*	`conf`	Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling. KDD Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, Jiawei Zhang
2024	J	`jnl`	Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling. CoRR Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao, Jiawei Zhang
2024	—	`conf`	Unveiling the Magic: Investigating Attention Distillation in Retrieval-Augmented Generation. NAACL (Short Papers) Zizhong Li, Haopeng Zhang, Jiawei Zhang
2024	J	`jnl`	Unveiling the Magic: Investigating Attention Distillation in Retrieval-augmented Generation. CoRR Zizhong Li, Haopeng Zhang, Jiawei Zhang
2023	J	`jnl`	3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion. CoRR Xinhao Xiang, Simon Dräger, Jiawei Zhang
2023	J	`jnl`	A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPT. CoRR Zizhong Li, Haopeng Zhang, Jiawei Zhang
2023	—	`conf`	Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning. DASFAA (4) Beichen Kang, Xiaosu Wang, Yun Xiong, Yao Zhang, Chaofan Zhou, Yangyong Zhu, Jiawei Zhang, Chunlei Tang
2023	J	`jnl`	Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System. CoRR Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, Jiawei Zhang
2023	A*	`conf`	ConsRec: Learning Consensus Behind Interactions for Group Recommendation. WWW Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu
2023	J	`jnl`	ConsRec: Learning Consensus Behind Interactions for Group Recommendation. CoRR Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu
2023	J	`jnl`	Contrastive Hierarchical Discourse Graph for Scientific Document Summarization. CoRR Haopeng Zhang, Xiao Liu, Jiawei Zhang
2023	—	`conf`	Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection. DASFAA (4) Lin Meng, Yuxiang Ren, Jiawei Zhang
2023	—	`conf`	DiffuSum: Generation Enhanced Extractive Summarization with Diffusion. ACL (Findings) Haopeng Zhang, Xiao Liu, Jiawei Zhang
2023	J	`jnl`	DiffuSum: Generation Enhanced Extractive Summarization with Diffusion. CoRR Haopeng Zhang, Xiao Liu, Jiawei Zhang
2023	A	`conf`	Dual Intents Graph Modeling for User-centric Group Discovery. CIKM Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang
2023	J	`jnl`	Dual Intents Graph Modeling for User-centric Group Discovery. CoRR Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang
2023	—	`conf`	Extractive Summarization via ChatGPT for Faithful Summary Generation. EMNLP (Findings) Haopeng Zhang, Xiao Liu, Jiawei Zhang
2023	J	`jnl`	Extractive Summarization via ChatGPT for Faithful Summary Generation. CoRR Haopeng Zhang, Xiao Liu, Jiawei Zhang
2023	J	`jnl`	FusionViT: Hierarchical 3D Object Detection via LiDAR-Camera Vision Transformer Fusion. CoRR Xinhao Xiang, Jiawei Zhang
2023	A	`conf`	Generative Graph Augmentation for Minority Class in Fraud Detection. CIKM Lin Meng, Hesham Mostafa, Marcel Nassar, Xiaonan Zhang, Jiawei Zhang
2023	A*	`conf`	Graph Collaborative Signals Denoising and Augmentation for Recommendation. SIGIR Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
2023	J	`jnl`	Graph Collaborative Signals Denoising and Augmentation for Recommendation. CoRR Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
2023	—	`conf`	Location-Adaptive Generative Graph Augmentation for Fraud Detection. CogMI Lin Meng, Xiaonan Zhang, Jiawei Zhang, Philip S. Yu
2023	J	`jnl`	SIC50: Determining drug inhibitory concentrations using a vision transformer and an optimized Sobel operator. Patterns Yongheng Wang, Weidi Zhang, Hoyin Yip, Chuyuan Qu, Hongru Hu, Xiaotie Chen, Teresa Lee, Xi Yang, Bingjun Yang, Priyadarsini Kumar, Su Yeon Lee, Javier J. Casimiro, Jiawei Zhang, Aijun Wang, Kit S. Lam
2023	J	`jnl`	SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding. CoRR Xi Chen, Yongxiang Liao, Yun Xiong, Yao Zhang, Siwei Zhang, Jiawei Zhang, Yiheng Sun
2023	—	`conf`	SummIt: Iterative Text Summarization via ChatGPT. EMNLP (Findings) Haopeng Zhang, Xiao Liu, Jiawei Zhang
2023	J	`jnl`	SummIt: Iterative Text Summarization via ChatGPT. CoRR Haopeng Zhang, Xiao Liu, Jiawei Zhang
2023	J	`jnl`	Temporal super-resolution traffic flow forecasting via continuous-time network dynamics. Knowl. Inf. Syst. Yi Xie, Yun Xiong, Jiawei Zhang, Chao Chen, Yao Zhang, Jie Zhao, Yizhu Jiao, Jinjing Zhao, Yangyong Zhu
2023	—	`conf`	Unsupervised Multi-document Summarization with Holistic Inference. IJCNLP (Findings) Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu
2023	J	`jnl`	Unsupervised Multi-document Summarization with Holistic Inference. CoRR Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu
2023	J	`jnl`	When Behavior Analysis Meets Social Network Alignment. IEEE Trans. Knowl. Data Eng. Zhongbao Zhang, Fuxin Ren, Jiawei Zhang, Sen Su, Yang Yan, Qian Wei, Li Sun, Guozhen Zhu, Congying Guo
2023	A	`conf`	iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. CIKM Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang
2023	J	`jnl`	iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation. CoRR Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun, Jiawei Zhang
2022	A*	`conf`	A Self-Supervised Mixed-Curvature Graph Neural Network. AAAI Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu
2022	J	`jnl`	Adaptive momentum with discriminative weight for neural network stochastic optimization. Int. J. Intell. Syst. Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2022	—	`conf`	Deoscillated Adaptive Graph Collaborative Filtering. TAG-ML Zhiwei Liu, Lin Meng, Fei Jiang, Jiawei Zhang, Philip S. Yu
2022	—	`conf`	Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment. BIBM Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu, Philip S. Yu
2022	A*	`conf`	HEGEL: Hypergraph Transformer for Long Document Summarization. EMNLP Haopeng Zhang, Xiao Liu, Jiawei Zhang
2022	J	`jnl`	HEGEL: Hypergraph Transformer for Long Document Summarization. CoRR Haopeng Zhang, Xiao Liu, Jiawei Zhang
2022	J	`jnl`	Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation Learning. CoRR Jiawei Zhang
2022	J	`jnl`	Measuring and sampling: A metric-guided subgraph learning framework for graph neural network. Int. J. Intell. Syst. Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2022	J	`jnl`	PERFECT: A Hyperbolic Embedding for Joint User and Community Alignment. CoRR Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu
2022	J	`jnl`	Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs. Knowl. Inf. Syst. Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu
2022	B	`conf`	Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles. IJCNN Lin Meng, Haoran Yang, Jiawei Zhang
2021	J	`jnl`	A Self-supervised Mixed-curvature Graph Neural Network. CoRR Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu
2021	J	`jnl`	ActiveIter: Meta Diagram Based Active Learning in Social Networks Alignment. IEEE Trans. Knowl. Data Eng. Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
2021	J	`jnl`	Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. CoRR Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang
2021	J	`jnl`	An improved ELM-based and data preprocessing integrated approach for phishing detection considering comprehensive features. Expert Syst. Appl. Liqun Yang, Jiawei Zhang, Xiaozhe Wang, Zhi Li, Zhoujun Li, Yueying He
2021	A	`conf`	AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation. WSDM Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang, Yangyong Zhu
2021	B	`conf`	BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization. IJCNN Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2021	J	`jnl`	Collaborative Graph Contrastive Learning: Data Augmentation Composition May Not be Necessary for Graph Representation Learning. CoRR Yuxiang Ren, Jiawei Zhang
2021	A	`conf`	Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CIKM Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
2021	J	`jnl`	Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CoRR Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
2021	A*	`conf`	EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. ICDE Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo
2021	B	`conf`	Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention. IJCNN Yuxiang Ren, Jiawei Zhang
2021	A*	`conf`	Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu
2021	A*	`conf`	Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. AAAI Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu
2021	J	`jnl`	Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. CoRR Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu
2021	—	`conf`	Label Contrastive Coding Based Graph Neural Network for Graph Classification. DASFAA (1) Yuxiang Ren, Jiyang Bai, Jiawei Zhang
2021	J	`jnl`	Label Contrastive Coding based Graph Neural Network for Graph Classification. CoRR Yuxiang Ren, Jiyang Bai, Jiawei Zhang
2021	J	`jnl`	Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network. CoRR Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2021	—	`conf`	Radiology Report Generation for Rare Diseases via Few-shot Transformer. BIBM Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Suzanne V. Blackley, Yangyong Zhu, Chunlei Tang
2021	B	`conf`	Ripple Walk Training: A Subgraph-based Training Framework for Large and Deep Graph Neural Network. IJCNN Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2021	A*	`conf`	The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). KDD Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang
2021	J	`jnl`	Translational Concept Embedding for Generalized Compositional Zero-shot Learning. CoRR He Huang, Wei Tang, Jiawei Zhang, Philip S. Yu
2020	A*	`conf`	Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection. ICDM Yuxiang Ren, Bo Wang, Jiawei Zhang, Yi Chang
2020	A*	`conf`	Attention-based Multi-level Feature Fusion for Named Entity Recognition. IJCAI Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang
2020	A*	`conf`	BANANA: when Behavior ANAlysis meets social Network Alignment. IJCAI Fuxin Ren, Zhongbao Zhang, Jiawei Zhang, Sen Su, Li Sun, Guozhen Zhu, Congying Guo
2020	J	`jnl`	CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection. CoRR Congying Xia, Chenwei Zhang, Hoang Nguyen, Jiawei Zhang, Philip S. Yu
2020	A	`conf`	CommDGI: Community Detection Oriented Deep Graph Infomax. CIKM Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu
2020	B	`conf`	DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization. ASONAM Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2020	J	`jnl`	Deoscillated Graph Collaborative Filtering. CoRR Zhiwei Liu, Lin Meng, Jiawei Zhang, Philip S. Yu
2020	—	`conf`	Discovering Localized Information for Heterogeneous Graph Node Representation Learning. CIC Lin Meng, Ning Yan, Masood S. Mortazavi, Jiawei Zhang
2020	A*	`conf`	FakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network. ICDE Jiawei Zhang, Bowen Dong, Philip S. Yu
2020	—	`conf`	Few-shot Radiology Report Generation for Rare Diseases. BIBM Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu
2020	J	`jnl`	G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning. CoRR Jiawei Zhang
2020	J	`jnl`	Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification. CoRR Jiawei Zhang
2020	J	`jnl`	Graph Neural Distance Metric Learning with Graph-Bert. CoRR Jiawei Zhang
2020	J	`jnl`	Graph-Bert: Only Attention is Needed for Learning Graph Representations. CoRR Jiawei Zhang, Haopeng Zhang, Congying Xia, Li Sun
2020	J	`jnl`	HGAT: Hierarchical Graph Attention Network for Fake News Detection. CoRR Yuxiang Ren, Jiawei Zhang
2020	A*	`conf`	Learning Signed Network Embedding via Graph Attention. AAAI Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang
2020	J	`jnl`	Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems. IEEE Trans. Knowl. Data Eng. Senzhang Wang, Hao Chen, Jiannong Cao, Jiawei Zhang, Philip S. Yu
2020	—	`conf`	Low-shot Learning in Natural Language Processing. CogMI Congying Xia, Chenwei Zhang, Jiawei Zhang, Tingting Liang, Hao Peng, Philip S. Yu
2020	A*	`conf`	Perfect: A Hyperbolic Embedding for Joint User and Community Alignment. ICDM Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, Philip S. Yu
2020	J	`jnl`	Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network. CoRR Jiyang Bai, Yuxiang Ren, Jiawei Zhang
2020	—	`conf`	Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. HT Yuxiang Ren, Lin Meng, Jiawei Zhang
2020	J	`jnl`	Segmented Graph-Bert for Graph Instance Modeling. CoRR Jiawei Zhang
2020	A*	`conf`	Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. ICDM Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu
2020	J	`jnl`	Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning. CoRR Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, Yangyong Zhu
2020	—	`conf`	Text Graph Transformer for Document Classification. EMNLP (1) Haopeng Zhang, Jiawei Zhang
2019	J	`jnl`	Approximate Similarity Measurements on Multi-Attributes Trajectories Data. IEEE Access Xiao Pan, Ma Ang, Jiawei Zhang, Lei Wu
2019	J	`jnl`	BGADAM: Boosting based Genetic-Evolutionary ADAM for Convolutional Neural Network Optimization. CoRR Jiyang Bai, Jiawei Zhang
2019	—	`book`	Broad Learning Through Fusions - An Application on Social Networks Jiawei Zhang, Philip S. Yu
2019	A	`conf`	Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. CIKM Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu
2019	J	`jnl`	Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. CoRR Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu
2019	J	`jnl`	DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization. CoRR Jiyang Bai, Jiawei Zhang
2019	—	`conf`	Deep Diffusive Neural Network based Fake News Detection from Heterogeneous Social Networks. IEEE BigData Jiawei Zhang, Bowen Dong, Philip S. Yu
2019	A*	`conf`	Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. SIGIR Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
2019	—	`conf`	Deep Heterogeneous Social Network Alignment. CogMI Lin Meng, Yuxiang Ren, Jiawei Zhang, Fanghua Ye, Philip S. Yu
2019	J	`jnl`	EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. CoRR Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo
2019	J	`jnl`	GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation. CoRR Jiawei Zhang, Lin Meng
2019	A*	`conf`	Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. SIGIR Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
2019	J	`jnl`	Gradient Descent based Optimization Algorithms for Deep Learning Models Training. CoRR Jiawei Zhang
2019	J	`jnl`	Graph Neural Lasso for Dynamic Network Regression. CoRR Yixin Chen, Lin Meng, Jiawei Zhang
2019	A	`conf`	HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. CIKM Chuan Shi, Yanfang Ye, Jiawei Zhang
2019	J	`jnl`	Heterogeneous Deep Graph Infomax. CoRR Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang
2019	J	`jnl`	Integrated anchor and social link predictions across multiple social networks. Knowl. Inf. Syst. Qianyi Zhan, Jiawei Zhang, Philip S. Yu
2019	J	`jnl`	IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification. CoRR Lin Meng, Jiawei Zhang
2019	—	`conf`	JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. IEEE BigData Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu
2019	J	`jnl`	JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation. CoRR Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han, Philip S. Yu
2019	—	`conf`	LATTE: Application Oriented Social Network Embedding. IEEE BigData Lin Meng, Jiyang Bai, Jiawei Zhang
2019	A*	`conf`	Learning Network Embedding with Community Structural Information. IJCAI Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang
2019	A*	`conf`	Meta Diagram Based Active Social Networks Alignment. ICDE Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
2019	J	`jnl`	Meta Diagram based Active Social Networks Alignment. CoRR Yuxiang Ren, Charu C. Aggarwal, Jiawei Zhang
2019	B	`conf`	Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries. IJCNN Bowen Dong, Jiawei Zhang, Chenwei Zhang, Yang Yang, Philip S. Yu
2019	J	`jnl`	Missing Movie Synergistic Completion across Multiple Isomeric Online Movie Knowledge Libraries. CoRR Jiawei Zhang, Chenwei Zhang, Bowen Dong, Yang Yang, Philip S. Yu
2019	J	`jnl`	Multi-view collective tensor decomposition for cross-modal hashing. Int. J. Multim. Inf. Retr. Limeng Cui, Jiawei Zhang, Lifang He, Philip S. Yu
2019	J	`jnl`	Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition. CoRR Yuxiang Ren, Lin Meng, Jiawei Zhang
2018	J	`jnl`	A Self-Organizing Tensor Architecture for Multi-View Clustering. CoRR Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang
2018	A*	`conf`	A Self-Organizing Tensor Architecture for Multi-view Clustering. ICDM Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang
2018	J	`jnl`	Broad Learning: : An Emerging Area in Social Network Analysis. SIGKDD Explor. Jiawei Zhang, Philip S. Yu
2018	—	`ch.`	Cross-Platform Social Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Jiawei Zhang, Philip S. Yu
2018	—	`conf`	Data-driven Blockbuster Planning on Online Movie Knowledge Library. IEEE BigData Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu
2018	J	`jnl`	Data-driven Blockbuster Planning on Online Movie Knowledge Library. CoRR Ye Liu, Jiawei Zhang, Chenwei Zhang, Philip S. Yu
2018	J	`jnl`	Deep Dynamic Network Embedding for Link Prediction. IEEE Access Taisong Li, Jiawei Zhang, Philip S. Yu, Yan Zhang, Yonghong Yan
2018	J	`jnl`	Deep Loopy Neural Network Model for Graph Structured Data Representation Learning. CoRR Jiawei Zhang, Limeng Cui, Fisher B. Gouza
2018	J	`jnl`	Effective Prediction of Missing Data on Apache Spark over Multivariable Time Series. IEEE Trans. Big Data Weiwei Shi, Yongxin Zhu, Philip S. Yu, Jiawei Zhang, Tian Huang, Chang Wang, Yufeng Chen
2018	J	`jnl`	EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model. CoRR Jiawei Zhang, Limeng Cui, Fisher B. Gouza
2018	A	`conf`	Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs. SDM Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu, Charu C. Aggarwal
2018	J	`jnl`	Fake News Detection with Deep Diffusive Network Model. CoRR Jiawei Zhang, Limeng Cui, Yanjie Fu, Fisher B. Gouza
2018	J	`jnl`	GADAM: Genetic-Evolutionary ADAM for Deep Neural Network Optimization. CoRR Jiawei Zhang, Limeng Cui, Fisher B. Gouza
2018	J	`jnl`	GEN Model: An Alternative Approach to Deep Neural Network Models. CoRR Jiawei Zhang, Limeng Cui, Fisher B. Gouza
2018	J	`jnl`	Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs. ACM Trans. Intell. Syst. Technol. Pengyang Wang, Yanjie Fu, Jiawei Zhang, Xiaolin Li, Dan Lin
2018	A	`conf`	Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction. SDM Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Yanjie Fu, Sajal K. Das
2018	B	`conf`	Multi-View Fusion Through Cross-Modal Retrieval. ICIP Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu
2018	B	`conf`	Multi-view Collective Tensor Decomposition for Cross-modal Hashing. ICMR Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi, Philip S. Yu
2018	J	`jnl`	On Deep Ensemble Learning from a Function Approximation Perspective. CoRR Jiawei Zhang, Limeng Cui, Fisher B. Gouza
2018	J	`jnl`	Reconciled Polynomial Machine: A Unified Representation of Shallow and Deep Learning Models. CoRR Jiawei Zhang, Limeng Cui, Fisher B. Gouza
2018	J	`jnl`	SEGEN: Sample-Ensemble Genetic Evolutional Network Model. CoRR Jiawei Zhang, Limeng Cui, Fisher B. Gouza
2018	J	`jnl`	Social Network Fusion and Mining: A Survey. CoRR Jiawei Zhang
2018	J	`jnl`	Spectral Collaborative Filtering. CoRR Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu
2018	A	`conf`	Spectral collaborative filtering. RecSys Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu
2018	J	`jnl`	TI-CNN: Convolutional Neural Networks for Fake News Detection. CoRR Yang Yang, Lei Zheng, Jiawei Zhang, Qingcai Cui, Zhoujun Li, Philip S. Yu
2018	J	`jnl`	Understanding and Monitoring Human Trafficking via Social Sensors: A Sociological Approach. CoRR Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu
2018	A*	`conf`	You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis. KDD Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng, Charu C. Aggarwal
2018	J	`jnl`	r-instance Learning for Missing People Tweets Identification. CoRR Yang Yang, Xia Hu, Haoyan Liu, Jiawei Zhang, Zhoujun Li, Philip S. Yu
2017	J	`jnl`	A Survey of Heterogeneous Information Network Analysis. IEEE Trans. Knowl. Data Eng. Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2017	A	`conf`	BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion. CIKM Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv
2017	J	`jnl`	BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion. CoRR Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv
2017	A*	`conf`	BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder. ICDM Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu
2017	J	`jnl`	BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder. CoRR Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, Philip S. Yu
2017	A	`conf`	Broad Learning based Multi-Source Collaborative Recommendation. CIKM Junxing Zhu, Jiawei Zhang, Lifang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang, Philip S. Yu
2017	J	`jnl`	CHRS: Cold Start Recommendation Across Multiple Heterogeneous Information Networks. IEEE Access Junxing Zhu, Jiawei Zhang, Chenwei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Philip S. Yu
2017	J	`jnl`	Community detection for emerging social networks. World Wide Web Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Junyuan Xie
2017	J	`jnl`	Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks. Sensors Junxing Zhu, Jiawei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Xiaokai Wei, Philip S. Yu
2017	J	`jnl`	Contaminant Removal for Android Malware Detection Systems. CoRR Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an
2017	—	`conf`	Contaminant removal for Android malware detection systems. IEEE BigData Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an
2017	A*	`conf`	Enterprise Community Detection. ICDE Jiawei Zhang, Philip S. Yu, Yuanhua Lv
2017	A	`conf`	Enterprise Employee Training via Project Team Formation. WSDM Jiawei Zhang, Philip S. Yu, Yuanhua Lv
2017	—	`conf`	Inverse extreme learning machine for learning with label proportions. IEEE BigData Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Philip S. Yu
2017	J	`jnl`	LATTE: Application Oriented Network Embedding. CoRR Jiawei Zhang, Limeng Cui, Yanjie Fu
2017	A*	`conf`	Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation. ICDE Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu, Jiawei Han
2017	A	`conf`	Link Prediction with Cardinality Constraint. WSDM Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu
2017	—	`conf`	Real Time Social Attitude Expression Prediction. BigData Congress Jiawei Zhang, Philip S. Yu, Charu C. Aggarwal, Limeng Cui
2017	A	`conf`	Rumor Initiator Detection in Infected Signed Networks. ICDCS Jiawei Zhang, Charu C. Aggarwal, Philip S. Yu
2016	J	`jnl`	Badge System Analysis and Design. CoRR Jiawei Zhang, Xiangnan Kong, Philip S. Yu
2016	B	`conf`	Bicycle-Sharing System Analysis and Trip Prediction. MDM Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu
2016	J	`jnl`	Bicycle-Sharing System Analysis and Trip Prediction. CoRR Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu
2016	—	`conf`	Bicycle-sharing systems expansion: station re-deployment through crowd planning. SIGSPATIAL/GIS Jiawei Zhang, Xiao Pan, Moyin Li, Philip S. Yu
2016	—	`ch.`	Concurrent Alignment of Multiple Anonymized Social Networks with Generic Stable Matching. Theoretical Information Reuse and Integration Jiawei Zhang, Qianyi Zhan, Philip S. Yu
2016	Misc	`conf`	Discover Tipping Users for Cross Network Influencing (Invited Paper). IRI Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Sherry Emery, Junyuan Xie
2016	—	`conf`	DistSD: Distance-based social discovery with personalized posterior screening. IEEE BigData Xiao Pan, Jiawei Zhang, Fengjiao Wang, Philip S. Yu
2016	A*	`conf`	HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer. WWW Qingbo Hu, Sihong Xie, Jiawei Zhang, Qiang Zhu, Songtao Guo, Philip S. Yu
2016	—	`conf`	Inferring Social Influence of anti-Tobacco mass media campaigns. BIBM Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Sherry Emery, Junyuan Xie
2016	A	`conf`	Information Diffusion at Workplace. CIKM Jiawei Zhang, Philip S. Yu, Yuanhua Lv, Qianyi Zhan
2016	J	`jnl`	Intertwined Viral Marketing through Online Social Networks. CoRR Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu
2016	B	`conf`	Intertwined viral marketing in social networks. ASONAM Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu
2016	J	`jnl`	Multi-Source Multi-View Clustering via Discrepancy Penalty. CoRR Weixiang Shao, Jiawei Zhang, Lifang He, Philip S. Yu
2016	—	`conf`	Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. ECML/PKDD (1) Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin
2016	B	`conf`	Multi-source Multi-view Clustering via discrepancy penalty. IJCNN Weixiang Shao, Jiawei Zhang, Lifang He, Philip S. Yu
2016	A*	`conf`	PCT: Partial Co-Alignment of Social Networks. WWW Jiawei Zhang, Philip S. Yu
2016	B	`conf`	Social badge system analysis. ASONAM Jiawei Zhang, Xiangnan Kong, Philip S. Yu
2016	—	`conf`	Trip Route Planning for Bicycle-Sharing Systems. CIC Jiawei Zhang, Philip S. Yu
2016	—	`conf`	Trust Hole Identification in Signed Networks. ECML/PKDD (1) Jiawei Zhang, Qianyi Zhan, Lifang He, Charu C. Aggarwal, Philip S. Yu
2015	J	`jnl`	A Survey of Heterogeneous Information Network Analysis. CoRR Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu
2015	A	`conf`	Community Detection for Emerging Networks. SDM Jiawei Zhang, Philip S. Yu
2015	A	`conf`	Enterprise Social Link Recommendation. CIKM Jiawei Zhang, Yuanhua Lv, Philip S. Yu
2015	—	`conf`	Inferring Diffusion Networks with Sparse Cascades by Structure Transfer. DASFAA (1) Senzhang Wang, Honghui Zhang, Jiawei Zhang, Xiaoming Zhang, Philip S. Yu, Zhoujun Li
2015	—	`conf`	Influence Maximization Across Partially Aligned Heterogenous Social Networks. PAKDD (1) Qianyi Zhan, Jiawei Zhang, Senzhang Wang, Philip S. Yu, Junyuan Xie
2015	A*	`conf`	Integrated Anchor and Social Link Predictions across Social Networks. IJCAI Jiawei Zhang, Philip S. Yu
2015	—	`conf`	MCD: Mutual Clustering across Multiple Social Networks. BigData Congress Philip S. Yu, Jiawei Zhang
2015	A*	`conf`	Multiple Anonymized Social Networks Alignment. ICDM Jiawei Zhang, Philip S. Yu
2015	J	`jnl`	Mutual Community Detection across Multiple Partially Aligned Social Networks. CoRR Jiawei Zhang, Philip S. Yu
2015	A*	`conf`	Organizational Chart Inference. KDD Jiawei Zhang, Philip S. Yu, Yuanhua Lv
2015	J	`jnl`	Organizational Chart Inference. CoRR Jiawei Zhang, Philip S. Yu, Yuanhua Lv
2015	Misc	`conf`	PNA: Partial Network Alignment with Generic Stable Matching. IRI Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu
2015	J	`jnl`	Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching. CoRR Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu
2014	A*	`conf`	Meta-path based multi-network collective link prediction. KDD Jiawei Zhang, Philip S. Yu, Zhi-Hua Zhou
2014	—	`conf`	Synergistic partitioning in multiple large scale social networks. IEEE BigData Songchang Jin, Jiawei Zhang, Philip S. Yu, Shuqiang Yang, Aiping Li
2014	A	`conf`	Transferring heterogeneous links across location-based social networks. WSDM Jiawei Zhang, Xiangnan Kong, Philip S. Yu
2013	A	`conf`	Inferring anchor links across multiple heterogeneous social networks. CIKM Xiangnan Kong, Jiawei Zhang, Philip S. Yu
2013	A*	`conf`	Predicting Social Links for New Users across Aligned Heterogeneous Social Networks. ICDM Jiawei Zhang, Xiangnan Kong, Philip S. Yu
2013	J	`jnl`	Predicting Social Links for New Users across Aligned Heterogeneous Social Networks. CoRR Jiawei Zhang, Xiangnan Kong, Philip S. Yu