Xiang Zhao - RankMe

256 papers A* 38A 22B 9C 2Misc 8Journal 126Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	: Large language model enhanced hierarchical script extraction from multiple documents. Knowl. Based Syst. Zenghua Liao, Jinzhi Liao, Shengze Hu, Peixin Huang, Xiang Zhao
2026	A*	`conf`	Anomaly Detection of Interaction Behaviors in Streaming Graphs. WWW Shuai Ren, Fan Zhang, Bolin Wang, Xiang Zhao, Zhihong Tian
2026	J	`jnl`	Cooperative Air-Ground Instant Delivery by UAVs and Crowdsourced Taxis: Joint UAV Station Deployment and Delivery Scheduling. IEEE Trans. Mob. Comput. Junhui Gao, Qianru Wang, Xin Zhang, Juan Shi, Xiang Zhao, Yunji Liang, Bin Guo, Qingye Han, Yan Pan
2026	J	`jnl`	Educational Knowledge Graph Question Answering: Insights From Benchmarks and LLM-Based Solutions. IEEE Trans. Artif. Intell. Runhao Zhao, Weixin Zeng, Jiuyang Tang, Feng Tian, Xiang Zhao
2026	A*	`conf`	Experience is the Best Teacher: Augmenting LLM Reasoning with Knowledge Learned from the Past. WWW Mingjun Zhou, Weixin Zeng, Xiang Zhao
2026	J	`jnl`	Few-shot harmful meme detection via self-adaption mixture-of-experts. Inf. Fusion Zou Li, Jinzhi Liao, Jiting Li, Ji Wang, Xiang Zhao
2026	J	`jnl`	HIM2A: Hierarchical interactive multi-modal entity alignment with semantic augmentation. Adv. Eng. Informatics Shiqi Zhang, Weixin Zeng, Zhen Tan, Weidong Xiao, Xiang Zhao
2026	J	`jnl`	INKER: Adaptive dynamic retrieval augmented generation with internal-external knowledge integration. Inf. Process. Manag. Mingjun Zhou, Jiuyang Tang, Weixin Zeng, Xiang Zhao
2026	J	`jnl`	Improving human-machine collaborative event detection in chinese texts by pursuing high recall. Inf. Process. Manag. Jiashun Duan, Yan Pan, Wei Wu, Fangfang Li, Xiang Zhao, Xin Zhang
2026	A*	`conf`	Iterative Multi-Granular RAG with Contextual Hierarchical Graph. AAAI Yanli Hu, Teng Liu, Zhuangyi Zhou, Weixin Zeng, Zhen Tan, Xiang Zhao
2026	A*	`conf`	LAPS: A Lightweight Privilege-Allocation Prompting Framework for Source Localization. WWW Hengrui Cui, Yang Fang, Yuehang Cao, Xiang Zhao
2026	A*	`conf`	Multi-granularity Temporal Knowledge Editing over Large Language Models. AAAI Simiao Zhao, Ning Pang, Zhen Tan, Yanli Hu, Weidong Xiao, Xiang Zhao
2026	A*	`conf`	NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models. AAAI Feng Liang, Weixin Zeng, Runhao Zhao, Xiang Zhao
2026	A*	`conf`	Network Dismantling via Reverse Dismantling: Static and Dynamic Algorithms. WWW Jinyu Duan, Sijin Wang, Fan Zhang, Xiang Zhao, Wenjie Zhang, Zhihong Tian
2026	J	`jnl`	Node Importance Estimation via Multi-View Graph Prompting. IEEE Trans. Netw. Sci. Eng. Siqi Ma, Yang Fang, Weidong Xiao, Xiang Zhao
2026	J	`jnl`	Panning for Gold: Expanding Domain-Specific Knowledge Graphs with General Knowledge. CoRR Runhao Zhao, Weixin Zeng, Wentao Zhang, Chong Chen, Zhengpin Li, Xiang Zhao, Lei Chen
2026	J	`jnl`	Perturb and restore: Efficient category revocation in federated unlearning. Inf. Fusion Ning Pang, Zou Li, Pengcheng Wan, Hongchao Wu, Yuchen Bing, Xiang Zhao
2026	A*	`conf`	Prism: Towards Lowering User Cognitive Load in LLMs via Complex Intent Understanding. WWW Zenghua Liao, Jinzhi Liao, Xiang Zhao
2026	J	`jnl`	Prism: Towards Lowering User Cognitive Load in LLMs via Complex Intent Understanding. CoRR Zenghua Liao, Jinzhi Liao, Xiang Zhao
2026	J	`jnl`	Temporal Heterogeneous Network Representation Learning With Dynamic Influence Modeling. Int. J. Intell. Syst. Haodan Ran, Yang Fang, Xiang Zhao, Jiuyang Tang, Weiming Zhang
2026	J	`jnl`	The Power of Small LLMs: A Multi-Agent for Code Generation via Dynamic Precaution Tuning. IEEE Trans. Software Eng. Junfeng Zhang, Jinzhi Liao, Jiuyang Tang, Xiang Zhao
2025	J	`jnl`	$\text {GPUSCAN}^{++}$: Efficient Structural Graph Clustering on GPUs. IEEE Trans. Parallel Distributed Syst. Long Yuan, Zeyu Zhou, Zi Chen, Xuemin Lin, Xiang Zhao, Fan Zhang
2025	J	`jnl`	A Question Answering Dataset for Temporal-Sensitive Retrieval-Augmented Generation. CoRR Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Jichao Li, Shuaiqiang Wang, Baotian Hu, Dawei Yin
2025	J	`jnl`	Active in-context learning for cross-domain entity resolution. Inf. Fusion Ziheng Zhang, Weixin Zeng, Jiuyang Tang, Hongbin Huang, Xiang Zhao
2025	A	`conf`	Advancing Temporal Sensitive Question Answering through Progressive Multi-Step Reflection. CIKM Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Shuaiqiang Wang, Baotian Hu, Dawei Yin
2025	J	`jnl`	An adaptive confidence-based data revision framework for Document-level Relation Extraction. Inf. Process. Manag. Chao Jiang, Jinzhi Liao, Xiang Zhao, Daojian Zeng, Jianhua Dai
2025	A	`conf`	Community Partition-based Source Localization with Adaptive Observers Deployment. CIKM Jinchen Shi, Yang Fang, Zhen Tan, Xin Zhang, Xiang Zhao
2025	J	`jnl`	Confusing negative commonsense knowledge generation with hierarchy modeling and LLM-enhanced filtering. Inf. Process. Manag. Yaqing Sheng, Weixin Zeng, Jiuyang Tang, Lihua Liu, Xiang Zhao
2025	A*	`conf`	Cross-modal Multi-task Learning for Multimedia Event Extraction. AAAI Jianwei Cao, Yanli Hu, Zhen Tan, Xiang Zhao
2025	J	`jnl`	DSHCL: Dual-State Hypergraph Contrastive Learning for Information Diffusion Prediction. IEEE Trans. Knowl. Data Eng. Tianyang Shao, Weixin Zeng, Xiang Zhao
2025	J	`jnl`	Dual Sequence Modeling for Knowledge Tracing. Data Sci. Eng. Qian Ning, Chengyu Guo, Kunjia Liu, Jiuyang Tang, Shiqi Zhang, Weixin Zeng, Xiang Zhao
2025	—	`conf`	Dual-Prompting Based Event Anomaly Detection in Dynamic Graphs. DASFAA (3) Haodan Ran, Yang Fang, Jiuyang Tang, Weiming Zhang, Jinzhi Liao, Xiang Zhao
2025	A	`conf`	Dynamic Graph Learning via Historical Information Perception and Multi-Granular Temporal Curriculum Learning. CIKM Yuehang Cao, Xiang Zhao, Yang Fang, Yan Pan, Jiuyang Tang
2025	Misc	`conf`	Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation. ICASSP Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He
2025	J	`jnl`	Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation. CoRR Zhen Tao, Yuehang Cao, Yang Fang, Yunhui Liu, Xiang Zhao, Tieke He
2025	B	`conf`	Dynamic-prototype Contrastive Fine-tuning for Continual Few-shot Relation Extraction with Unseen Relation Detection. COLING Simiao Zhao, Zhen Tan, Ning Pang, Weidong Xiao, Xiang Zhao
2025	A*	`conf`	Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection. AAAI Hao Guo, Zihan Ma, Zhi Zeng, Minnan Luo, Weixin Zeng, Jiuyang Tang, Xiang Zhao
2025	J	`jnl`	Graphing the Truth: Harnessing Causal Insights for Advanced Multimodal Fake News Detection. IEEE Trans. Inf. Forensics Secur. Zihan Ma, Minnan Luo, Zhi Zeng, Herun Wan, Yifei Li, Xiang Zhao
2025	J	`jnl`	Hops Can be Constrained: Efficient Distance Queries on Large Time-Dependent Road Networks. Proc. ACM Manag. Data Weihao Yu, Dian Ouyang, Fan Zhang, Xiang Zhao, Shen Su, Xuemin Lin, Zhihong Tian
2025	A*	`conf`	How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis. EMNLP Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao
2025	A*	`conf`	Hyperedge Graph Contrastive Learning [Extended abstract]. ICDE Junfeng Zhang, Weixin Zeng, Jiuyang Tang, Xiang Zhao
2025	A*	`conf`	IKGA: An Interactive Visualization Tool for Knowledge Graph Alignment. ICDE Weixin Zeng, Shiqi Zhang, Huang Peng, Zhen Tan, Weidong Xiao, Xiang Zhao
2025	J	`jnl`	Improving Generalization and Personalization in Model-Heterogeneous Federated Learning. IEEE Trans. Neural Networks Learn. Syst. Xiongtao Zhang, Ji Wang, Weidong Bao, Yaohong Zhang, Xiaomin Zhu, Hao Peng, Xiang Zhao
2025	A	`conf`	Information Diffusion Prediction Based on User Multi-Dimensional Feature Interaction. CIKM Jiaxing He, Yang Fang, Tianyang Shao, Xiang Zhao
2025	J	`jnl`	Iterative knowledge distillation and pruning for model compression in unsupervised domain adaptation. Pattern Recognit. Zhiyuan Wang, Long Shi, Zhen Mei, Xiang Zhao, Zhe Wang, Jun Li
2025	—	`conf`	Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-Wise Multi-view Ensemble Distillation. DASFAA (3) Yunhui Liu, Zhen Tao, Xiang Zhao, Jianhua Zhao, Tao Zheng, Tieke He
2025	J	`jnl`	Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-wise Multi-View Ensemble Distillation. CoRR Yunhui Liu, Zhen Tao, Xiang Zhao, Jianhua Zhao, Tao Zheng, Tieke He
2025	A*	`conf`	Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction. AAAI Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao
2025	Misc	`conf`	MARAG: Multi‑agent Retrieval‑Augmented Generation for Mitigating Knowledge Conflicts in Large Language Models. WISA Jiaming Tian, Weixin Zeng, Jibing Wu, Lihua Liu, Xiang Zhao
2025	B	`conf`	Multi-Modal Entities Matter: Benchmarking Multi-Modal Entity Alignment. COLING Guanchen Xiao, Weixin Zeng, Shiqi Zhang, Mingrui Lao, Xiang Zhao
2025	J	`jnl`	NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models. CoRR Feng Liang, Weixin Zeng, Runhao Zhao, Xiang Zhao
2025	—	`conf`	On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs. ACL (1) Herun Wan, Minnan Luo, Zhixiong Su, Guang Dai, Xiang Zhao
2025	J	`jnl`	Open knowledge graph completion with negative-aware representation learning and multi-source reliability inference. Inf. Fusion Huang Peng, Weixin Zeng, Jiuyang Tang, Mao Wang, Hongbin Huang, Xiang Zhao
2025	A*	`conf`	OptMatch: An Efficient and Generic Neural Network-Assisted Subgraph Matching Approach. ICDE Wenzhe Hou, Xiang Zhao, Bo Tang
2025	A*	`conf`	PSSD: Making Large Language Models Self-denial via Human Psyche Structure. WWW Jinzhi Liao, Zenghua Liao, Xiang Zhao
2025	J	`jnl`	PSSD: Making Large Language Models Self-denial via Human Psyche Structure. CoRR Jinzhi Liao, Zenghua Liao, Xiang Zhao
2025	—	`conf`	RANA: Conflict Resolution for Knowledge Graphs with Better Representation Learning. IJCKG Zihao Song, Huang Peng, Weixin Zeng, Xiang Zhao
2025	B	`conf`	Semantic and Sentiment Dual-Enhanced Generative Model for Script Event Prediction. COLING Feiyang Wu, Peixin Huang, Yanli Hu, Zhen Tan, Xiang Zhao
2025	J	`jnl`	StaRS: Learning a Stable Representation Space for Continual Relation Classification. IEEE Trans. Neural Networks Learn. Syst. Ning Pang, Xiang Zhao, Weixin Zeng, Zhen Tan, Weidong Xiao
2025	J	`jnl`	Temporal knowledge graph diffusion model for open-world reasoning. Sci. China Inf. Sci. Yuhan Wang, Xiang Zhao, Zhen Tan, Weidong Xiao, Xueqi Cheng
2025	J	`jnl`	The Expressive Power of Graph Neural Networks: A Survey. IEEE Trans. Knowl. Data Eng. Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu
2025	B	`conf`	The Local Minimum Strategy: Accelerating Relocation in Cuckoo Filter. IWQoS Niuniu Zhang, Lailong Luo, Qianzhen Zhang, Shangsen Li, Zhaoyun Ding, Xiang Zhao, Deke Guo
2025	J	`jnl`	Towards Privacy-Preserving Personalized Federated Relation Classification. IEEE Trans. Big Data Ning Pang, Xiang Zhao, Weixin Zeng, Zhen Tan, Weidong Xiao
2025	J	`jnl`	Towards Temporal Knowledge Graph Alignment in the Wild. CoRR Runhao Zhao, Weixin Zeng, Wentao Zhang, Xiang Zhao, Jiuyang Tang, Lei Chen
2025	A*	`conf`	Towards Unsupervised Entity Alignment for Highly Heterogeneous Knowledge Graphs. ICDE Runhao Zhao, Weixin Zeng, Jiuyang Tang, Yawen Li, Guanhua Ye, Junping Du, Xiang Zhao
2025	J	`jnl`	Towards human-like questioning: Knowledge base question generation with bias-corrected reinforcement learning from human feedback. Inf. Process. Manag. Runhao Zhao, Jiuyang Tang, Weixin Zeng, Yunxiao Guo, Xiang Zhao
2025	A	`conf`	Yes is Harder than No: A Behavioral Study of Framing Effects in Large Language Models Across Downstream Tasks. CIKM Ziheng Zhang, Weixin Zeng, Jiuyang Tang, Ji Wang, Xiang Zhao
2024	J	`jnl`	A knowledge graphs representation method based on IsA relation modeling. Expert Syst. Appl. Pengfei Zhang, Dong Chen, Yang Fang, Weidong Xiao, Xiang Zhao, Zhen Tan, Rui Wang
2024	J	`jnl`	An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms. CoRR Ziyang Chen, Xiaobin Wang, Yong Jiang, Jinzhi Liao, Pengjun Xie, Fei Huang, Xiang Zhao
2024	A	`conf`	Benchmarking Challenges for Temporal Knowledge Graph Alignment. CIKM Weixin Zeng, Jie Zhou, Xiang Zhao
2024	J	`jnl`	CL&CD: Contrastive Learning and Cluster Description for Zero-Shot Relation Extraction. Knowl. Based Syst. Zongqiang Yang, Junbo Fei, Zhen Tan, Jiuyang Tang, Xiang Zhao
2024	—	`conf`	Community partition based source localization in early time. DSC Jinchen Shi, Yang Fang, Zhen Tan, Hui Yang, Xiang Zhao
2024	A*	`conf`	Cooperative Air-Ground Instant Delivery by UAVs and Crowdsourced Taxis. ICDE Junhui Gao, Qianru Wang, Xin Zhang, Juan Shi, Xiang Zhao, Qingye Han, Yan Pan
2024	J	`jnl`	Dismantling complex networks with graph contrastive learning and multi-hop aggregation. Inf. Sci. Siqi Ma, Weixin Zeng, Weidong Xiao, Xiang Zhao
2024	—	`conf`	Distill, Fuse, Pre-train: Towards Effective Event Causality Identification with Commonsense-Aware Pre-trained Model. LREC/COLING Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao
2024	J	`jnl`	E-Bus-Based Standby Energy Sharing for EVs in the Event of Large-Scale Grid Outage. IEEE Internet Things J. Haitao Fan, Mengzhe Hei, Zuyu Chen, Yijia Xing, Yujiao Hu, Deke Guo, Xin Zhang, Xiang Zhao, Yan Pan
2024	J	`jnl`	Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection. CoRR Hao Guo, Zihan Ma, Zhi Zeng, Minnan Luo, Weixin Zeng, Jiuyang Tang, Xiang Zhao
2024	—	`conf`	Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection. ACL (1) Zihan Ma, Minnan Luo, Hao Guo, Zhi Zeng, Yiran Hao, Xiang Zhao
2024	—	`conf`	FNDPro: Evaluating the Importance of Propagations during Fake News Spread. DASFAA (6) Herun Wan, Ningnan Wang, Xiang Zhao, Rui Li, Hui Yang, Minnan Luo
2024	J	`jnl`	Few-shot Learning for Heterogeneous Information Networks. ACM Trans. Inf. Syst. Yang Fang, Xiang Zhao, Weidong Xiao, Maarten de Rijke
2024	A*	`conf`	Fine-Grained Anomaly Detection on Dynamic Graphs via Attention Alignment. ICDE Dong Chen, Xiang Zhao, Weidong Xiao
2024	J	`jnl`	How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis. CoRR Herun Wan, Minnan Luo, Zihan Ma, Guang Dai, Xiang Zhao
2024	J	`jnl`	Hyperedge Graph Contrastive Learning. IEEE Trans. Knowl. Data Eng. Junfeng Zhang, Weixin Zeng, Jiuyang Tang, Xiang Zhao
2024	J	`jnl`	I/O Efficient Label-Constrained Reachability Queries in Large Graphs. Proc. VLDB Endow. Long Yuan, Xia Li, Zi Chen, Xuemin Lin, Xiang Zhao, Wenjie Zhang
2024	A	`conf`	ITIU: Intention Understanding via Interactive Table in Large Language Models. CIKM Zenghua Liao, Jinzhi Liao, Xiang Zhao
2024	Misc	`conf`	Iterative Transfer Knowledge Distillation and Channel Pruning for Unsupervised Cross-Domain Compression. WISA Zhiyuan Wang, Long Shi, Zhen Mei, Xiang Zhao, Zhe Wang, Jun Li
2024	J	`jnl`	Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan
2024	A	`conf`	Learn From Mistakes: Guidance on Zero-shot Conversational Text-to-SQL. CIKM Wenshuo Zhai, Xiang Zhao, Jinzhi Liao, Ziyang Chen
2024	A*	`conf`	LearnSC: An Efficient and Unified Learning-Based Framework for Subgraph Counting Problem. ICDE Wenzhe Hou, Xiang Zhao, Bo Tang
2024	A	`conf`	Learning Multimodal Attention Mixed with Frequency Domain Information as Detector for Fake News Detection. ICME Zihan Ma, Huan Liu, Zhi Zeng, Hao Guo, Xiang Zhao, Minnan Luo
2024	J	`jnl`	Logic Induced High-Order Reasoning Network for Event-Event Relation Extraction. CoRR Peixin Huang, Xiang Zhao, Minghao Hu, Zhen Tan, Weidong Xiao
2024	A	`conf`	M3: A Multi-Image Multi-Modal Entity Alignment Dataset. CIKM Shiqi Zhang, Weixin Zeng, Zhen Tan, Xiang Zhao, Weidong Xiao
2024	A*	`conf`	Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. ICDE Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng
2024	A*	`conf`	Mitigating World Biases: A Multimodal Multi-View Debiasing Framework for Fake News Video Detection. ACM Multimedia Zhi Zeng, Minnan Luo, Xiangzheng Kong, Huan Liu, Hao Guo, Hao Yang, Zihan Ma, Xiang Zhao
2024	J	`jnl`	Multiplex heterogeneous network representation learning with unipath based global awareness neural network. Future Gener. Comput. Syst. Yuehang Cao, Xiang Zhao, Dong Chen, Hongbin Huang
2024	J	`jnl`	On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs. CoRR Herun Wan, Minnan Luo, Zhixiong Su, Guang Dai, Xiang Zhao
2024	J	`jnl`	Open Knowledge Base Canonicalization with Multi-task Learning. CoRR Bingchen Liu, Huang Peng, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan
2024	J	`jnl`	Open knowledge base canonicalization with multi-task learning. World Wide Web (WWW) Bingchen Liu, Huang Peng, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan, Xin Li
2024	J	`jnl`	Programming on Bitcoin: A Survey of Layer 1 and Layer 2 Technologies in Bitcoin Ecosystem. CoRR Guofu Liao, Taotao Wang, Qing Yang, Yihan Xia, Long Shi, Xiang Zhao, Xiaoxiao Wu, Shengli Zhang, Anthony Chan, Richard Yuen
2024	J	`jnl`	SCL: Selective Contrastive Learning for Data-driven Zero-shot Relation Extraction. Trans. Assoc. Comput. Linguistics Ning Pang, Xiang Zhao, Weixin Zeng, Zhen Tan, Weidong Xiao
2024	J	`jnl`	TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction. IEEE Trans. Neural Networks Learn. Syst. Jiaxin Wang, Lingling Zhang, Jun Liu, Kunming Ma, Wenjun Wu, Xiang Zhao, Yaqiang Wu, Yi Huang
2024	—	`conf`	Temporal Knowledge Question Answering via Abstract Reasoning Induction. ACL (1) Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang
2024	A	`conf`	Zero-shot Knowledge Graph Question Generation via Multi-agent LLMs and Small Models Synthesis. CIKM Runhao Zhao, Jiuyang Tang, Weixin Zeng, Ziyang Chen, Xiang Zhao
2023	J	`jnl`	$\mathsf{PF\text{-}HIN}$:Pre-Training for Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. Yang Fang, Xiang Zhao, Yifan Chen, Weidong Xiao, Maarten de Rijke
2023	J	`jnl`	(p,q)-biclique counting and enumeration for large sparse bipartite graphs. VLDB J. Jianye Yang, Yun Peng, Dian Ouyang, Wenjie Zhang, Xuemin Lin, Xiang Zhao
2023	J	`jnl`	A Brief Overview of Universal Sentence Representation Methods: A Linguistic View. ACM Comput. Surv. Ruiqi Li, Xiang Zhao, Marie-Francine Moens
2023	J	`jnl`	A survey of continuous subgraph matching for dynamic graphs. Knowl. Inf. Syst. Xi Wang, Qianzhen Zhang, Deke Guo, Xiang Zhao
2023	J	`jnl`	Active Temporal Knowledge Graph Alignment. Int. J. Semantic Web Inf. Syst. Jie Zhou, Weixin Zeng, Hao Xu, Xiang Zhao
2023	J	`jnl`	AugPrompt: Knowledgeable augmented-trigger prompt for few-shot event classification. Inf. Process. Manag. Chengyu Song, Fei Cai, Jianming Zheng, Xiang Zhao, Taihua Shao
2023	—	`conf`	Cardinality Estimation of Subgraph Search Queries with Direction Learner. ADMA (5) Wenzhe Hou, Xiang Zhao, Wei Wang
2023	J	`jnl`	Cross-view graph contrastive learning with hypergraph. Inf. Fusion Jianian Zhu, Weixin Zeng, Junfeng Zhang, Jiuyang Tang, Xiang Zhao
2023	A*	`conf`	Discovering Frequency Bursting Patterns in Temporal Graphs. ICDE Qianzhen Zhang, Deke Guo, Xiang Zhao, Long Yuan, Lailong Luo
2023	—	`conf`	Discovering Persistent Subgraph Patterns over Streaming Graphs. DASFAA (3) Chu Huang, Qianzhen Zhang, Deke Guo, Xiang Zhao
2023	—	`book`	Entity Alignment - Concepts, Recent Advances and Novel Approaches Xiang Zhao, Weixin Zeng, Jiuyang Tang
2023	J	`jnl`	Few-shot named entity recognition with hybrid multi-prototype learning. World Wide Web (WWW) Zenghua Liao, Junbo Fei, Weixin Zeng, Xiang Zhao
2023	J	`jnl`	GPUSCAN CoRR Long Yuan, Zeyu Zhou, Xuemin Lin, Zi Chen, Xiang Zhao, Fan Zhang
2023	A*	`conf`	Graph Self-supervised Learning with Augmentation-aware Contrastive Learning. WWW Dong Chen, Xiang Zhao, Wei Wang, Zhen Tan, Weidong Xiao
2023	A	`conf`	Interpretable Fake News Detection with Graph Evidence. CIKM Hao Guo, Weixin Zeng, Jiuyang Tang, Xiang Zhao
2023	J	`jnl`	Jump Filter: A Dynamic Sketch for Big Data Governance. Int. J. Softw. Informatics Pengtao Fu, Lailong Luo, Deke Guo, Xiang Zhao, Shangsen Li, Huaimin Wang
2023	A	`conf`	MGICL: Multi-Grained Interaction Contrastive Learning for Multimodal Named Entity Recognition. CIKM Aibo Guo, Xiang Zhao, Zhen Tan, Weidong Xiao
2023	J	`jnl`	Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study. IEEE Trans. Knowl. Data Eng. Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng
2023	—	`conf`	Mining Top-k Frequent Patterns over Streaming Graphs. DASFAA (3) Xi Wang, Qianzhen Zhang, Deke Guo, Xiang Zhao
2023	J	`jnl`	Multi-Model Fusion-Based Hierarchical Extraction for Chinese Epidemic Event. Data Sci. Eng. Zenghua Liao, Zongqiang Yang, Peixin Huang, Ning Pang, Xiang Zhao
2023	—	`conf`	Multi-granularity Temporal Question Answering over Knowledge Graphs. ACL (1) Ziyang Chen, Jinzhi Liao, Xiang Zhao
2023	J	`jnl`	Node Importance Estimation with Multiview Contrastive Representation Learning. Int. J. Intell. Syst. Li Liu, Weixin Zeng, Zhen Tan, Weidong Xiao, Xiang Zhao
2023	J	`jnl`	Open Knowledge Base Canonicalization with Multi-task Unlearning. CoRR Bingchen Liu, Shihao Hou, Weixin Zeng, Xiang Zhao, Shijun Liu, Li Pan
2023	A*	`conf`	Personalized Federated Relation Classification over Heterogeneous Texts. SIGIR Ning Pang, Xiang Zhao, Weixin Zeng, Ji Wang, Weidong Xiao
2023	J	`jnl`	Preface to the Special Issue on Knowledge-empowered Information Systems. Int. J. Softw. Informatics Hong Gao, Huajun Chen, Xiang Zhao, Ruixuan Li
2023	J	`jnl`	Temporal Knowledge Question Answering via Abstract Reasoning Induction. CoRR Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang
2023	J	`jnl`	The Expressive Power of Graph Neural Networks: A Survey. CoRR Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu
2023	Misc	`ed.`	Web Information Systems and Applications - 20th International Conference, WISA 2023, Chengdu, China, September 15-17, 2023, Proceedings WISA Long Yuan, Shiyu Yang, Ruixuan Li, Evangelos Kanoulas, Xiang Zhao
2022	J	`jnl`	Adversarial Cross-domain Community Question Retrieval. ACM Trans. Asian Low Resour. Lang. Inf. Process. Aibo Guo, Xinyi Li, Ning Pang, Xiang Zhao
2022	J	`jnl`	An Experimental Study of State-of-the-Art Entity Alignment Approaches. IEEE Trans. Knowl. Data Eng. Xiang Zhao, Weixin Zeng, Jiuyang Tang, Wei Wang, Fabian M. Suchanek
2022	B	`conf`	Complex Question Answering Over Temporal Knowledge Graphs. WISE Shaonan Long, Jinzhi Liao, Shiyu Yang, Xiang Zhao, Xuemin Lin
2022	J	`jnl`	Continuous multi-query optimization for subgraph matching over dynamic graphs. Semantic Web Xi Wang, Qianzhen Zhang, Deke Guo, Xiang Zhao
2022	J	`jnl`	Contrastive heterogeneous graphs learning for multi-hop machine reading comprehension. World Wide Web Jinzhi Liao, Xiang Zhao, Xinyi Li, Jiuyang Tang, Bin Ge
2022	—	`conf`	Discovering Bursting Patterns over Streaming Graphs. DASFAA (1) Qianzhen Zhang, Deke Guo, Xiang Zhao
2022	—	`conf`	Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training. ACL (Findings) Peixin Huang, Xiang Zhao, Minghao Hu, Yang Fang, Xinyi Li, Weidong Xiao
2022	A	`conf`	Few-Shot Relational Triple Extraction with Perspective Transfer Network. CIKM Junbo Fei, Weixin Zeng, Xiang Zhao, Xuanyi Li, Weidong Xiao
2022	J	`jnl`	Few2Decide: towards a robust model via using few neuron connections to decide. Int. J. Multim. Inf. Retr. Jian Li, Yanming Guo, Songyang Lao, Xiang Zhao, Liang Bai, Haoran Wang
2022	A	`conf`	Handling RDF Streams: Harmonizing Subgraph Matching, Adaptive Incremental Maintenance, and Matching-free Updates Together. CIKM Qianzhen Zhang, Deke Guo, Xiang Zhao, Lailong Luo
2022	A	`conf`	Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks. CIKM Qiuyu Guo, Xiang Zhao, Yang Fang, Shiyu Yang, Xuemin Lin, Dian Ouyang
2022	J	`jnl`	On entity alignment at scale. VLDB J. Weixin Zeng, Xiang Zhao, Xinyi Li, Jiuyang Tang, Wei Wang
2022	A*	`conf`	PTAU: Prompt Tuning for Attributing Unanswerable Questions. SIGIR Jinzhi Liao, Xiang Zhao, Jianming Zheng, Xinyi Li, Fei Cai, Jiuyang Tang
2022	J	`jnl`	Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs. ACM Trans. Inf. Syst. Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke
2022	Misc	`conf`	Simplifying Knowledge-Aware Aggregation for Knowledge Graph Collaborative Filtering. WISA Honghai Zhang, Yifan Chen, Xinyi Li, Xiang Zhao
2022	A	`conf`	SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher. CIKM Aibo Guo, Xinyi Li, Guanchen Xiao, Zhen Tan, Xiang Zhao
2022	J	`jnl`	Temporal knowledge graph question answering via subgraph reasoning. Knowl. Based Syst. Ziyang Chen, Xiang Zhao, Jinzhi Liao, Xinyi Li, Evangelos Kanoulas
2022	J	`jnl`	Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling. Data Sci. Eng. Xiang Zhao, Weixin Zeng, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng
2022	Misc	`ed.`	Web Information Systems and Applications - 19th International Conference, WISA 2022, Dalian, China, September 16-18, 2022, Proceedings WISA Xiang Zhao, Shiyu Yang, Xin Wang, Jianxin Li
2021	J	`jnl`	Caps-OWKG: a capsule network model for open-world knowledge graph. Int. J. Mach. Learn. Cybern. Yuhan Wang, Weidong Xiao, Zhen Tan, Xiang Zhao
2021	J	`jnl`	Continuous matching of evolving patterns over dynamic graph data. World Wide Web Qianzhen Zhang, Deke Guo, Xiang Zhao, Xi Wang
2021	J	`jnl`	DSKRL: A dissimilarity-support-aware knowledge representation learning framework on noisy knowledge graph. Neurocomputing Tianyang Shao, Xinyi Li, Xiang Zhao, Hao Xu, Weidong Xiao
2021	J	`jnl`	ER-SQL: Learning enhanced representation for Text-to-SQL using table contents. Neurocomputing Aibo Guo, Xiang Zhao, Wubin Ma
2021	J	`jnl`	Few-shot text classification by leveraging bi-directional attention and cross-class knowledge. Sci. China Inf. Sci. Ning Pang, Xiang Zhao, Wei Wang, Weidong Xiao, Deke Guo
2021	J	`jnl`	Knowledge graph embedding by relational and entity rotation. Knowl. Based Syst. Xuqian Huang, Jiuyang Tang, Zhen Tan, Weixin Zeng, Ji Wang, Xiang Zhao
2021	A*	`conf`	Learning Discriminative Neural Representations for Event Detection. SIGIR Jinzhi Liao, Xiang Zhao, Xinyi Li, Lingling Zhang, Jiuyang Tang
2021	—	`conf`	MOOPer: A Large-Scale Dataset of Practice-Oriented Online Learning. CCKS Kunjia Liu, Xiang Zhao, Jiuyang Tang, Weixin Zeng, Jinzhi Liao, Feng Tian, Qinghua Zheng, Jingquan Huang, Ao Dai
2021	J	`jnl`	Multi-modal Entity Alignment in Hyperbolic Space. CoRR Hao Guo, Jiuyang Tang, Weixin Zeng, Xiang Zhao, Li Liu
2021	J	`jnl`	Multi-modal entity alignment in hyperbolic space. Neurocomputing Hao Guo, Jiuyang Tang, Weixin Zeng, Xiang Zhao, Li Liu
2021	A	`conf`	Reinforced Active Entity Alignment. CIKM Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan
2021	J	`jnl`	Reinforcement Learning based Collective Entity Alignment with Adaptive Features. CoRR Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth
2021	J	`jnl`	Reinforcement Learning-based Collective Entity Alignment with Adaptive Features. ACM Trans. Inf. Syst. Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin, Paul Groth
2021	B	`conf`	Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering. CoNLL Junxing Wang, Xinyi Li, Zhen Tan, Xiang Zhao, Weidong Xiao
2021	J	`jnl`	To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs. World Wide Web Jinzhi Liao, Xiang Zhao, Jiuyang Tang, Weixin Zeng, Zhen Tan
2021	—	`conf`	Towards Entity Alignment in the Open World: An Unsupervised Approach. DASFAA (1) Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng
2021	J	`jnl`	Towards Entity Alignment in the Open World: An Unsupervised Approach. CoRR Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xinyi Li, Minnan Luo, Qinghua Zheng
2020	—	`conf`	A Graph-Based Approach Towards Risk Alerting for COVID-19 Spread. SFDI/LSGDA@VLDB Aibo Guo, Qianzhen Zhang, Xiang Zhao
2020	J	`jnl`	A Sentence-Based Circular Reasoning Model in Multi-Hop Reading Comprehension. IEEE Access Lijun Huo, Xiang Zhao
2020	J	`jnl`	Block-Aware Item Similarity Models for Top- ACM Trans. Inf. Syst. Yifan Chen, Yang Wang, Xiang Zhao, Jie Zou, Maarten de Rijke
2020	B	`conf`	CLEEK: A Chinese Long-text Corpus for Entity Linking. LREC Weixin Zeng, Xiang Zhao, Jiuyang Tang, Zhen Tan, Xuqian Huang
2020	—	`conf`	Chinese Text Classification via Bidirectional Lattice LSTM. KSEM (2) Ning Pang, Weidong Xiao, Xiang Zhao
2020	A*	`conf`	Collective Entity Alignment via Adaptive Features. ICDE Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin
2020	—	`conf`	Cross-Graph Representation Learning for Unsupervised Graph Alignment. DASFAA (2) Weifan Wang, Minnan Luo, Caixia Yan, Meng Wang, Xiang Zhao, Qinghua Zheng
2020	A*	`conf`	Degree-Aware Alignment for Entities in Tail. SIGIR Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan
2020	J	`jnl`	Degree-Aware Alignment for Entities in Tail. CoRR Weixin Zeng, Xiang Zhao, Wei Wang, Jiuyang Tang, Zhen Tan
2020	J	`jnl`	Domain relation extraction from noisy Chinese texts. Neurocomputing Ning Pang, Zhen Tan, Xiang Zhao, Weixin Zeng, Weidong Xiao
2020	J	`jnl`	Exploring Heterogeneous Information Networks via Pre-Training. CoRR Yang Fang, Xiang Zhao, Weidong Xiao
2020	A*	`conf`	HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition. AAAI Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao
2020	J	`jnl`	Item Cold-Start Recommendation with Personalized Feature Selection. J. Comput. Sci. Technol. Yifan Chen, Xiang Zhao, Jinyuan Liu, Bin Ge, Weiming Zhang
2020	B	`conf`	Joint Event Extraction with Hierarchical Policy Network. COLING Peixin Huang, Xiang Zhao, Ryuichi Takanobu, Zhen Tan, Weidong Xiao
2020	—	`ed.`	Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part I KSEM (1) Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao
2020	—	`ed.`	Knowledge Science, Engineering and Management - 13th International Conference, KSEM 2020, Hangzhou, China, August 28-30, 2020, Proceedings, Part II KSEM (2) Gang Li, Heng Tao Shen, Ye Yuan, Xiaoyang Wang, Huawen Liu, Xiang Zhao
2020	J	`jnl`	Local Variational Feature-Based Similarity Models for Recommending Top- ACM Trans. Inf. Syst. Yi-Fan Chen, Yang Wang, Xiang Zhao, Hongzhi Yin, Ilya Markov, Maarten de Rijke
2020	—	`conf`	Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection. KSEM (1) Aibo Guo, Zhen Tan, Xiang Zhao
2020	—	`conf`	Multi-hop Reading Comprehension Incorporating Sentence-Based Reasoning. APWeb/WAIM (1) Lijun Huo, Bin Ge, Xiang Zhao
2020	—	`conf`	Paperant: Key Elements Generation with New Ideas. APWeb/WAIM (2) Xin He, Jiuyang Tang, Zhen Tan, Zheng Yu, Xiang Zhao
2020	A*	`conf`	Recursively Binary Modification Model for Nested Named Entity Recognition. AAAI Bing Li, Shifeng Liu, Yifang Sun, Wei Wang, Xiang Zhao
2020	A	`conf`	Seasonal-Periodic Subgraph Mining in Temporal Networks. CIKM Qianzhen Zhang, Deke Guo, Xiang Zhao, Xinyi Li, Xi Wang
2020	—	`conf`	Towards Knowledge Graphs Federations: Issues and Technologies. APWeb/WAIM Workshops Xiang Zhao
2020	—	`conf`	sf GQA DASFAA (2) Xi Wang, Qianzhen Zhang, Deke Guo, Xiang Zhao, Jianye Yang
2019	A*	`conf`	Antonym-Synonym Classification Based on New Sub-Space Embeddings. AAAI Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao
2019	J	`jnl`	Antonym-Synonym Classification Based on New Sub-space Embeddings. CoRR Muhammad Asif Ali, Yifang Sun, Xiaoling Zhou, Wei Wang, Xiang Zhao
2019	J	`jnl`	Collective Embedding-based Entity Alignment via Adaptive Features. CoRR Weixin Zeng, Xiang Zhao, Jiuyang Tang, Xuemin Lin
2019	J	`jnl`	Efficient Mining of Frequent Patterns on Uncertain Graphs. IEEE Trans. Knowl. Data Eng. Yifan Chen, Xiang Zhao, Xuemin Lin, Yang Wang, Deke Guo
2019	J	`jnl`	HAMNER: Headword Amplified Multi-span Distantly Supervised Method for Domain Specific Named Entity Recognition. CoRR Shifeng Liu, Yifang Sun, Bing Li, Wei Wang, Xiang Zhao
2019	—	`conf`	Iterative Entity Alignment with Improved Neural Attribute Embedding. DL4KG@ESWC Ning Pang, Weixin Zeng, Jiuyang Tang, Zhen Tan, Xiang Zhao
2019	—	`conf`	Iterative Representation Learning for Entity Alignment Leveraging Textual Information. PKDD/ECML Workshops (1) Weixin Zeng, Jiuyang Tang, Xiang Zhao
2019	A*	`conf`	Jointly Extracting Multiple Triplets with Multilayer Translation Constraints. AAAI Zhen Tan, Xiang Zhao, Wei Wang, Weidong Xiao
2019	—	`conf`	Learning to Select User-Specific Features for Top-N Recommendation of New Items. ICDE Workshops Yifan Chen, Xiang Zhao, Jinyuan Liu, Bin Ge, Weiming Zhang
2019	A*	`conf`	M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs. SIGIR Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke
2019	J	`jnl`	Measuring Entity Relatedness via Entity and Text Joint Embedding. Neural Process. Lett. Weixin Zeng, Jiuyang Tang, Xiang Zhao
2019	A*	`conf`	Near-Accurate Multiset Reconciliation (Extended Abstract). ICDE Lailong Luo, Deke Guo, Xiang Zhao, Jie Wu, Ori Rottenstreich, Xueshan Luo
2019	J	`jnl`	Near-accurate Multiset Reconciliation. IEEE Trans. Knowl. Data Eng. Lailong Luo, Deke Guo, Xiang Zhao, Jie Wu, Ori Rottenstreich, Xueshan Luo
2019	A	`conf`	On Continuously Matching of Evolving Graph Patterns. CIKM Qianzhen Zhang, Deke Guo, Xiang Zhao, Aibo Guo
2019	—	`conf`	Relevance-Based Entity Embedding. DASFAA (3) Weixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, Chang-Dong Wang
2018	J	`jnl`	Collective List-Only Entity Linking: A Graph-Based Approach. IEEE Access Weixin Zeng, Xiang Zhao, Jiuyang Tang, Haichuan Shang
2018	J	`jnl`	Efficient and Accurate Traffic Flow Prediction via Incremental Tensor Completion. IEEE Access Jinzhi Liao, Jiuyang Tang, Weixin Zeng, Xiang Zhao
2018	J	`jnl`	Efficient structure similarity searches: a partition-based approach. VLDB J. Xiang Zhao, Chuan Xiao, Xuemin Lin, Wenjie Zhang, Yang Wang
2018	J	`jnl`	Entity Linking on Chinese Microblogs via Deep Neural Network. IEEE Access Weixin Zeng, Jiuyang Tang, Xiang Zhao
2018	J	`jnl`	GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces. IEEE Access Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao
2018	J	`jnl`	Improving POI Recommendation via Dynamic Tensor Completion. Sci. Program. Jinzhi Liao, Jiuyang Tang, Xiang Zhao, Haichuan Shang
2018	J	`jnl`	Knowledge Graph Representation via Similarity-Based Embedding. Sci. Program. Zhen Tan, Xiang Zhao, Yang Fang, Bin Ge, Weidong Xiao
2018	—	`conf`	Named Entity Disambiguation via Probabilistic Graphical Model with Embedding Features. ICONIP (3) Weixin Zeng, Jiuyang Tang, Xiang Zhao, Bin Ge, Weidong Xiao
2018	J	`jnl`	Network Embedding via a Bi-Mode and Deep Neural Network Model. Symmetry Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao
2018	J	`jnl`	Relational Knowledge Prediction via Dynamic Bi-Mode Embedding. IEEE Access Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao
2018	J	`jnl`	SISE: Self-Updating of Indoor Semantic Floorplans for General Entities. IEEE Trans. Mob. Comput. Xiaoqiang Teng, Deke Guo, Yulan Guo, Xiang Zhao, Zhong Liu
2018	—	`conf`	Spatial Attention Network for Head Detection. PCM (2) Rongchun Li, Biao Zhang, Zhen Huang, Xiang Zhao, Peng Qiao, Yong Dou
2018	J	`jnl`	TransPath: Representation Learning for Heterogeneous Information Networks via Translation Mechanism. IEEE Access Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao
2017	—	`conf`	A Robust Approach for Multivariate Time Series Forecasting. SoICT Ning Pang, Fengjing Yin, Xiaoyu Zhang, Xiang Zhao
2017	—	`conf`	A framework of wound segmentation based on deep convolutional networks. CISP-BMEI Xiaohui Liu, Changjian Wang, Fangzhao Li, Xiang Zhao, En Zhu, Yuxing Peng
2017	—	`conf`	Efficient and Accurate Traffic Flow Prediction via Fast Dynamic Tensor Completion. TRAP Jinzhi Liao, Xiang Zhao, Jiuyang Tang, Chong Zhang, Mingke He
2017	J	`jnl`	Fast top-k similarity join for SimRank. Inf. Sci. Ruiqi Li, Xiang Zhao, Haichuan Shang, Yifan Chen, Weidong Xiao
2017	—	`conf`	Local Top-N Recommendation via Refined Item-User Bi-Clustering. WISE (2) Yuheng Wang, Xiang Zhao, Yifan Chen, Wenjie Zhang, Weidong Xiao
2017	—	`conf`	Relation classification using revised convolutional neural networks. ICSAI Bo Li, Xiang Zhao, Shuai Wang, Weihong Lin, Weidong Xiao
2017	A	`conf`	Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations. CIKM Zhen Tan, Xiang Zhao, Wei Wang
2017	B	`conf`	SDF-NN: A Deep Neural Network with Semantic Dropping and Fusion for Natural Language Inference. ICTAI Ludan Tan, Changjian Wang, Qin Lv, Yuxing Peng, Minghao Hu, Xiang Zhao, Zhen Huang
2017	A*	`conf`	Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection. SIGIR Yifan Chen, Xiang Zhao, Maarten de Rijke
2017	J	`jnl`	Two-phase network generation towards within-network classifiers evaluation. Knowl. Based Syst. Le Li, Junyi Xu, Xiang Zhao, Weidong Xiao, Shengze Hu
2017	J	`jnl`	Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion. IEEE Trans. Neural Networks Learn. Syst. Yang Wang, Wenjie Zhang, Lin Wu, Xuemin Lin, Xiang Zhao
2016	Misc	`conf`	Content-Based Top-N Recommendation Using Heterogeneous Relations. ADC Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yanli Hu
2016	J	`jnl`	Content-Based Top-N Recommendation using Heterogeneous Relations. CoRR Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yang Fang
2016	—	`conf`	Finding Top- k Places for Group Social Activities. APWeb Workshops Xiaosheng Feng, Nikos Armenatzoglou, Hao Xu, Xiang Zhao, Pan Hui
2016	J	`jnl`	Frequent Subgraph Mining Based on Pregel. Comput. J. Xiang Zhao, Yifan Chen, Chuan Xiao, Yoshiharu Ishikawa, Jiuyang Tang
2016	—	`conf`	Knowledge Representation Learning via Dynamic Relation Spaces. ICDM Workshops Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao, Jiuyang Tang
2016	J	`jnl`	Taxi-taking recommendation using real-time trajectories: an online query based approach. Comput. Syst. Sci. Eng. Yifan Chen, Xiang Zhao, Jiuyang Tang, Weiming Zhang, Haichuan Shang
2015	—	`conf`	Scalable collective spatial keyword query. ICDE Workshops Peijun He, Hao Xu, Xiang Zhao, Zhitao Shen
2015	A*	`conf`	Towards Frequent Subgraph Mining on Single Large Uncertain Graphs. ICDM Yifan Chen, Xiang Zhao, Xuemin Lin, Yang Wang
2015	A	`conf`	Towards Scale-out Capability on Social Graphs. CIKM Haichuan Shang, Xiang Zhao, R. Uday Kiran, Masaru Kitsuregawa
2014	Misc	`conf`	A Negative-Aware and Rating-Integrated Recommendation Algorithm Based on Bipartite Network Projection. ADC Fengjing Yin, Xiang Zhao, Guangxin Zhou, Xin Zhang, Shengze Hu
2014	—	`—`	Efficient processing of advanced structural queries in graph databases. Xiang Zhao
2014	—	`conf`	Encoding Document Semantic into Binary Codes Space. WAIM Zheng Yu, Xiang Zhao, Liping Wang
2014	—	`conf`	Improving Performance of Graph Similarity Joins Using Selected Substructures. DASFAA (1) Xiang Zhao, Chuan Xiao, Wenjie Zhang, Xuemin Lin, Jiuyang Tang
2014	—	`conf`	Practising Scalable Graph Similarity Joins in MapReduce. BigData Congress Yifan Chen, Xiang Zhao, Bin Ge, Chuan Xiao, Chi-Hung Chi
2013	J	`jnl`	A Partition-Based Approach to Structure Similarity Search. Proc. VLDB Endow. Xiang Zhao, Chuan Xiao, Xuemin Lin, Qing Liu, Wenjie Zhang
2013	—	`conf`	An Optimization Method for Proportionally Diversifying Search Results. PAKDD (1) Lin Wu, Yang Wang, John Shepherd, Xiang Zhao
2013	—	`conf`	CTrace: semantic comparison of multi-granularity process traces. SIGMOD Conference Qing Liu, Kerry Taylor, Xiang Zhao, Geoffrey Squire, Xuemin Lin, Corne Kloppers, Richard Miller
2013	J	`jnl`	Efficient processing of graph similarity queries with edit distance constraints. VLDB J. Xiang Zhao, Chuan Xiao, Xuemin Lin, Wei Wang, Yoshiharu Ishikawa
2013	J	`jnl`	Max-sum diversification on image ranking with non-uniform matroid constraints. Neurocomputing Lin Wu, Yang Wang, John Shepherd, Xiang Zhao
2013	—	`conf`	On Efficient Graph Substructure Selection. DASFAA (2) Xiang Zhao, Haichuan Shang, Wenjie Zhang, Xuemin Lin, Weidong Xiao
2013	C	`conf`	Probabilistic Top-k Dominating Query over Sliding Windows. APWeb Xing Feng, Xiang Zhao, Yunjun Gao, Ying Zhang
2013	—	`conf`	Probabilistic k-Skyband Operator over Sliding Windows. WAIM Xing Feng, Wenjie Zhang, Xiang Zhao, Ying Zhang, Yunjun Gao
2013	—	`conf`	Provenance comparison for large-scale knowledge discovery. IEEE BigData Xiang Zhao, Bin Ge, Jiuyang Tang, Weidong Xiao, Haichuan Shang
2013	J	`jnl`	Towards semantic comparison of multi-granularity process traces. Knowl. Based Syst. Qing Liu, Xiang Zhao, Kerry Taylor, Xuemin Lin, Geoffrey Squire, Corne Kloppers, Richard Miller
2012	A*	`conf`	Efficient Graph Similarity Joins with Edit Distance Constraints. ICDE Xiang Zhao, Chuan Xiao, Xuemin Lin, Wei Wang
2009	C	`conf`	A Memory-Saving and Efficient Data Transformation Technique for Mixed Data Sets Visualization. IV Yang Sun, Xiang Zhao, Daquan Tang, Weidong Xiao