Xiang Zhang - RankMe

167 papers A* 42A 15B 4Misc 2Journal 91Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. EACL (Findings) Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2026	A*	`conf`	GPR: Empowering Generation with Graph-Pretrained Retriever. WWW Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
2026	J	`jnl`	How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use. CoRR Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang
2026	—	`conf`	Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models. EACL (Volume 1: Long Papers) Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang
2026	J	`jnl`	MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution. CoRR Minhua Lin, Zhiwei Zhang, Hanqing Lu, Hui Liu, Xianfeng Tang, Qi He, Xiang Zhang, Suhang Wang
2026	J	`jnl`	Position: Agentic Evolution is the Path to Evolving LLMs. CoRR Minhua Lin, Hanqing Lu, Zhan Shi, Bing He, Rui Mao, Zhiwei Zhang, Zongyu Wu, Xianfeng Tang, Hui Liu, Zhenwei Dai, Xiang Zhang, Suhang Wang, Benoît Dumoulin, Jian Pei
2025	J	`jnl`	A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications. CoRR Minhua Lin, Zongyu Wu, Zhichao Xu, Hui Liu, Xianfeng Tang, Qi He, Charu C. Aggarwal, Xiang Zhang, Suhang Wang
2025	—	`conf`	Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks. KDD (2) Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang
2025	J	`jnl`	Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning. CoRR Yukang Lin, Xiang Zhang, Shichang Jia, Bowen Wan, Chenghan Fu, Xudong Ren, Yueran Liu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu
2025	J	`jnl`	Diversified Sampling Improves Scaling LLM inference. CoRR Tianchun Wang, Zichuan Liu, Yuanzhou Chen, Jonathan Light, Haifeng Chen, Xiang Zhang, Wei Cheng
2025	J	`jnl`	DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules. CoRR Junjie Xu, Jiahao Zhang, Mangal Prakash, Xiang Zhang, Suhang Wang
2025	J	`jnl`	DyExplainer: Self-explainable Dynamic Graph Neural Network with Sparse Attentions. ACM Trans. Knowl. Discov. Data Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang
2025	J	`jnl`	GPR: Empowering Generation with Graph-Pretrained Retriever. CoRR Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
2025	J	`jnl`	How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. CoRR Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang
2025	A*	`conf`	Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. ICLR Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng
2025	J	`jnl`	Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models. CoRR Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang
2025	B	`conf`	LLM and GNN Are Complementary: Distilling LLM for Multimodal Graph Learning. IEEE Big Data Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang
2025	J	`jnl`	LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models. CoRR Zongyu Wu, Yuwei Niu, Hongcheng Gao, Minhua Lin, Zhiwei Zhang, Zhifang Zhang, Qi Shi, Yilong Wang, Sike Fu, Junjie Xu, Junjie Ao, Enyan Dai, Lei Feng, Xiang Zhang, Suhang Wang
2025	J	`jnl`	MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling. CoRR Bencheng Yan, Si Chen, Shichang Jia, Jianyu Liu, Yueran Liu, Chenghan Fu, Wanxian Guan, Hui Zhao, Xiang Zhang, Kai Zhang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu
2025	J	`jnl`	MOON Embedding: Multimodal Representation Learning for E-commerce Search Advertising. CoRR Chenghan Fu, Daoze Zhang, Yukang Lin, Zhanheng Nie, Xiang Zhang, Jianyu Liu, Yueran Liu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng
2025	—	`conf`	Stealing Training Graphs from Graph Neural Networks. KDD (1) Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang
2025	B	`conf`	Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models. IJCNN Zhanwen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li
2024	J	`jnl`	Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. CoRR Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2024	A*	`conf`	Disambiguated Node Classification with Graph Neural Networks. WWW Tianxiang Zhao, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Disambiguated Node Classification with Graph Neural Networks. CoRR Tianxiang Zhao, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors. CoRR Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng
2024	J	`jnl`	Imbalanced Node Classification With Synthetic Over-Sampling. IEEE Trans. Knowl. Data Eng. Tianxiang Zhao, Xiang Zhang, Suhang Wang
2024	A	`conf`	Interpretable Imitation Learning with Dynamic Causal Relations. WSDM Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	J	`jnl`	LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning. CoRR Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang
2024	A*	`conf`	Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. KDD Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling. CoRR Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024	A	`conf`	Shape-aware Graph Spectral Learning. CIKM Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Stealing Training Graphs from Graph Neural Networks. CoRR Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models. CoRR Zhanwen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li
2024	J	`jnl`	Towards Inductive and Efficient Explanations for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Dongsheng Luo, Tianxiang Zhao, Wei Cheng, Dongkuan Xu, Feng Han, Wenchao Yu, Xiao Liu, Haifeng Chen, Xiang Zhang
2024	J	`jnl`	Trojan Prompt Attacks on Graph Neural Networks. CoRR Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang
2024	—	`conf`	Universal Prompt Optimizer for Safe Text-to-Image Generation. NAACL-HLT Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang
2024	J	`jnl`	Universal Prompt Optimizer for Safe Text-to-Image Generation. CoRR Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang
2023	A*	`conf`	Certifiably Robust Graph Contrastive Learning. NeurIPS Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Certifiably Robust Graph Contrastive Learning. CoRR Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang
2023	J	`jnl`	DyExplainer: Explainable Dynamic Graph Neural Networks. CoRR Tianchun Wang, Dongsheng Luo, Wei Cheng, Haifeng Chen, Xiang Zhang
2023	J	`jnl`	Dynamic DAG Discovery for Interpretable Imitation Learning. CoRR Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023	J	`jnl`	Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. CoRR Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment. ACM Trans. Intell. Syst. Technol. Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023	A*	`conf`	GC-Flow: A Graph-Based Flow Network for Effective Clustering. ICML Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen
2023	J	`jnl`	GC-Flow: A Graph-Based Flow Network for Effective Clustering. CoRR Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen
2023	J	`jnl`	Learning Graph Filters for Spectral GNNs via Newton Interpolation. CoRR Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023	J	`jnl`	On the Opportunities of Green Computing: A Survey. CoRR You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng
2023	J	`jnl`	Random Walk on Multiple Networks. CoRR Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang
2023	J	`jnl`	Random Walk on Multiple Networks. IEEE Trans. Knowl. Data Eng. Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang
2023	A*	`conf`	Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. KDD Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023	J	`jnl`	Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. CoRR Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023	A*	`conf`	Time Series Contrastive Learning with Information-Aware Augmentations. AAAI Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023	J	`jnl`	Time Series Contrastive Learning with Information-Aware Augmentations. CoRR Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023	A	`conf`	Towards Faithful and Consistent Explanations for Graph Neural Networks. WSDM Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2023	A*	`conf`	Unnoticeable Backdoor Attacks on Graph Neural Networks. WWW Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Unnoticeable Backdoor Attacks on Graph Neural Networks. CoRR Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang
2022	J	`jnl`	A Collective Approach to Scholar Name Disambiguation. IEEE Trans. Knowl. Data Eng. Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai
2022	J	`jnl`	AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. CoRR Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao
2022	A*	`conf`	Exploring Edge Disentanglement for Node Classification. WWW Tianxiang Zhao, Xiang Zhang, Suhang Wang
2022	J	`jnl`	Exploring Edge Disentanglement for Node Classification. CoRR Tianxiang Zhao, Xiang Zhang, Suhang Wang
2022	A*	`conf`	Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. NeurIPS Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao
2022	A*	`conf`	HP-GMN: Graph Memory Networks for Heterophilous Graphs. ICDM Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang
2022	J	`jnl`	HP-GMN: Graph Memory Networks for Heterophilous Graphs. CoRR Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang
2022	A*	`conf`	Joint Optimization of Ad Ranking and Creative Selection. SIGIR Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng
2022	J	`jnl`	Link Prediction on Heterophilic Graphs via Disentangled Representation Learning. CoRR Shijie Zhou, Zhimeng Guo, Charu C. Aggarwal, Xiang Zhang, Suhang Wang
2022	J	`jnl`	On Consistency in Graph Neural Network Interpretation. CoRR Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2022	A*	`conf`	Personalized Federated Learning via Heterogeneous Modular Networks. ICDM Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022	J	`jnl`	Personalized Federated Learning via Heterogeneous Modular Networks. CoRR Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang
2022	J	`jnl`	Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks. CoRR Tianxiang Zhao, Xiang Zhang, Suhang Wang
2022	—	`conf`	TopoImb: Toward Topology-Level Imbalance in Learning From Graphs. LoG Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2022	J	`jnl`	TopoImb: Toward Topology-level Imbalance in Learning from Graphs. CoRR Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2021	A*	`conf`	A Collective Approach to Scholar Name Disambiguation (Extended Abstract). ICDE Dongsheng Luo, Shuai Ma, Yaowei Yan, Chunming Hu, Xiang Zhang, Jinpeng Huai
2021	J	`jnl`	BM-NAS: Bilevel Multimodal Neural Architecture Search. CoRR Yihang Yin, Siyu Huang, Xiang Zhang, Dejing Dou
2021	J	`jnl`	Correction to: Transfer Hierarchical Attention Network for Generative Dialog System. Int. J. Autom. Comput. Xiang Zhang, Qiang Yang
2021	A	`conf`	Deep Multi-Instance Contrastive Learning with Dual Attention for Anomaly Precursor Detection. SDM Dongkuan Xu, Wei Cheng, Jingchao Ni, Dongsheng Luo, Masanao Natsumeda, Dongjin Song, Bo Zong, Haifeng Chen, Xiang Zhang
2021	A	`conf`	GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. WSDM Tianxiang Zhao, Xiang Zhang, Suhang Wang
2021	J	`jnl`	GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks. CoRR Tianxiang Zhao, Xiang Zhang, Suhang Wang
2021	A*	`conf`	InfoGCL: Information-Aware Graph Contrastive Learning. NeurIPS Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
2021	J	`jnl`	InfoGCL: Information-Aware Graph Contrastive Learning. CoRR Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang
2021	A	`conf`	Learning to Drop: Robust Graph Neural Network via Topological Denoising. WSDM Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
2021	A*	`conf`	Multi-Task Recurrent Modular Networks. AAAI Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
2021	J	`jnl`	Semi-Supervised Graph-to-Graph Translation. CoRR Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
2021	A*	`conf`	Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. AAAI Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang
2021	J	`jnl`	Unsupervised Document Embedding via Contrastive Augmentation. CoRR Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
2020	J	`jnl`	Attentive Social Recommendation: Towards User And Item Diversities. CoRR Dongsheng Luo, Yuchen Bian, Xiang Zhang, Jun Huan
2020	J	`jnl`	Correction to: Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
2020	A	`conf`	Deep Multi-Graph Clustering via Attentive Cross-Graph Association. WSDM Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Bill Yu, Xiang Zhang
2020	J	`jnl`	Learning to Drop: Robust Graph Neural Network via Topological Denoising. CoRR Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang
2020	A*	`conf`	Local Community Detection in Multiple Networks. KDD Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang
2020	J	`jnl`	Memory-based random walk for multi-query local community detection. Knowl. Inf. Syst. Yuchen Bian, Dongsheng Luo, Yaowei Yan, Wei Cheng, Wei Wang, Xiang Zhang
2020	J	`jnl`	Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics. NeuroImage Feng Han, Yameng Gu, Gregory L. Brown, Xiang Zhang, Xiao Liu
2020	A*	`conf`	Parameterized Explainer for Graph Neural Network. NeurIPS Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
2020	J	`jnl`	Parameterized Explainer for Graph Neural Network. CoRR Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang
2020	A*	`conf`	Rethinking Local Community Detection: Query Nodes Replacement. ICDM Yuchen Bian, Jun Huan, Dejing Dou, Xiang Zhang
2020	A	`conf`	Semi-Supervised Graph-to-Graph Translation. CIKM Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
2020	A*	`conf`	Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang
2019	A*	`conf`	Adaptive Neural Network for Node Classification in Dynamic Networks. ICDM Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang
2019	A*	`conf`	Constrained Local Graph Clustering by Colored Random Walk. WWW Yaowei Yan, Yuchen Bian, Dongsheng Luo, Dongwon Lee, Xiang Zhang
2019	A	`conf`	Deep Co-Clustering. SDM Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2019	J	`jnl`	Dual-regularized one-class collaborative filtering with implicit feedback. World Wide Web Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu
2019	A*	`conf`	Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification. AAAI Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li
2019	—	`conf`	On Generating Dominators of Customer Preferences. IEEE BigData Jiang Bian, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang, Zhishan Guo
2019	A*	`conf`	Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs. IJCAI Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang
2019	J	`jnl`	The multi-walker chain and its application in local community detection. Knowl. Inf. Syst. Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang
2019	J	`jnl`	Transfer Hierarchical Attention Network for Generative Dialog System. Int. J. Autom. Comput. Xiang Zhang, Qiang Yang
2018	A*	`conf`	Co-Regularized Deep Multi-Network Embedding. WWW Jingchao Ni, Shiyu Chang, Xiao Liu, Wei Cheng, Haifeng Chen, Dongkuan Xu, Xiang Zhang
2018	J	`jnl`	ComClus: A Self-Grouping Framework for Multi-Network Clustering. IEEE Trans. Knowl. Data Eng. Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
2018	J	`jnl`	Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. CoRR Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li, Qiang Yang
2018	J	`jnl`	HyCLASSS: A Hybrid Classifier for Automatic Sleep Stage Scoring. IEEE J. Biomed. Health Informatics Xiaojin Li, Licong Cui, Shiqiang Tao, Jing Chen, Xiang Zhang, Guo-Qiang Zhang
2018	—	`conf`	Local Graph Clustering by Multi-network Random Walk with Restart. PAKDD (3) Yaowei Yan, Dongsheng Luo, Jingchao Ni, Hongliang Fei, Wei Fan, Xiong Bill Yu, John Yen, Xiang Zhang
2018	A*	`conf`	On Multi-query Local Community Detection. ICDM Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, Xiang Zhang
2018	J	`jnl`	Second-order random walk-based proximity measures in graph analysis: formulations and algorithms. VLDB J. Yubao Wu, Xiang Zhang, Yuchen Bian, Zhipeng Cai, Xiang Lian, Xueting Liao, Fengpan Zhao
2017	A*	`conf`	Automated Medical Diagnosis by Ranking Clusters Across the Symptom-Disease Network. ICDM Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
2017	A*	`conf`	Cross-Network Clustering and Cluster Ranking for Medical Diagnosis. ICDE Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang
2017	J	`jnl`	Finding susceptible and protective interaction patterns in large-scale genetic association study. Frontiers Comput. Sci. Yuan Li, Yuhai Zhao, Guoren Wang, Xiaofeng Zhu, Xiang Zhang, Zhanghui Wang, Jun Pang
2017	A*	`conf`	Many Heads are Better than One: Local Community Detection by the Multi-walker Chain. ICDM Yuchen Bian, Jingchao Ni, Wei Cheng, Xiang Zhang
2017	A*	`conf`	Ranking Causal Anomalies by Modeling Local Propagations on Networked Systems. ICDM Jingchao Ni, Wei Cheng, Kai Zhang, Dongjin Song, Tan Yan, Haifeng Chen, Xiang Zhang
2017	J	`jnl`	Ranking Causal Anomalies for System Fault Diagnosis via Temporal and Dynamical Analysis on Vanishing Correlations. ACM Trans. Knowl. Discov. Data Wei Cheng, Jingchao Ni, Kai Zhang, Haifeng Chen, Guofei Jiang, Yu Shi, Xiang Zhang, Wei Wang
2016	J	`jnl`	CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering. ACM Trans. Knowl. Discov. Data Wei Cheng, Zhishan Guo, Xiang Zhang, Wei Wang
2016	J	`jnl`	Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model. BMC Bioinform. Jingchao Ni, Mehmet Koyutürk, Hanghang Tong, Jonathan L. Haines, Rong Xu, Xiang Zhang
2016	J	`jnl`	Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs. IEEE Trans. Knowl. Data Eng. Yubao Wu, Ruoming Jin, Xiang Zhang
2016	J	`jnl`	HICC: an entropy splitting-based framework for hierarchical co-clustering. Knowl. Inf. Syst. Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang
2016	J	`jnl`	Mining Dual Networks: Models, Algorithms, and Applications. ACM Trans. Knowl. Discov. Data Yubao Wu, Xiaofeng Zhu, Li Li, Wei Fan, Ruoming Jin, Xiang Zhang
2016	J	`jnl`	Remember Where You Came From: On The Second-Order Random Walk Based Proximity Measures. Proc. VLDB Endow. Yubao Wu, Yuchen Bian, Xiang Zhang
2016	A*	`conf`	Self-Grouping Multi-network Clustering. ICDM Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
2016	J	`jnl`	Sparse regression models for unraveling group and individual associations in eQTL mapping. BMC Bioinform. Wei Cheng, Yu Shi, Xiang Zhang, Wei Wang
2015	J	`jnl`	Comparative analysis of a novel disease phenotype network based on clinical manifestations. J. Biomed. Informatics Yang Chen, Xiang Zhang, Guo-Qiang Zhang, Rong Xu
2015	J	`jnl`	Fast and robust group-wise eQTL mapping using sparse graphical models. BMC Bioinform. Wei Cheng, Shi Yu, Xiang Zhang, Wei Wang
2015	A*	`conf`	Finding dense and connected subgraphs in dual networks. ICDE Yubao Wu, Ruoming Jin, Xiaofeng Zhu, Xiang Zhang
2015	A*	`conf`	Flexible and Robust Multi-Network Clustering. KDD Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang
2015	J	`jnl`	Robust Local Community Detection: On Free Rider Effect and Its Elimination. Proc. VLDB Endow. Yubao Wu, Ruoming Jin, Jing Li, Xiang Zhang
2015	A*	`conf`	Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment. ICDM Rui Liu, Wei Cheng, Hanghang Tong, Wei Wang, Xiang Zhang
2014	J	`jnl`	Drug repositioning by integrating target information through a heterogeneous network model. Bioinform. Wenhui Wang, Sen Yang, Xiang Zhang, Jing Li
2014	A	`conf`	Dual-Regularized One-Class Collaborative Filtering. CIKM Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu
2014	—	`conf`	Fast and unified local search for random walk based k-nearest-neighbor query in large graphs. SIGMOD Conference Yubao Wu, Ruoming Jin, Xiang Zhang
2014	J	`jnl`	Graph-regularized dual Lasso for robust eQTL mapping. Bioinform. Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi, Wei Wang
2014	A*	`conf`	Inside the atoms: ranking on a network of networks. KDD Jingchao Ni, Hanghang Tong, Wei Fan, Xiang Zhang
2014	J	`jnl`	Learning Phenotype Structure Using Sequence Model. IEEE Trans. Knowl. Data Eng. Yuhai Zhao, Guoren Wang, Xiang Zhang, Jeffrey Xu Yu, Zhanghui Wang
2014	J	`jnl`	Performance research on time-triggered Ethernet based on network calculus. EURASIP J. Wirel. Commun. Netw. Yu Xiang, Wei Wang, Xiang Zhang, Zhenwei Li
2014	J	`jnl`	Searching Dimension Incomplete Databases. IEEE Trans. Knowl. Data Eng. Wei Cheng, Xiaoming Jin, Jian-Tao Sun, Xuemin Lin, Xiang Zhang, Wei Wang
2013	Misc	`conf`	Creation and Comparative Analysis of a Novel Disease Phenotype Network Based on Clinical Manifestation. AMIA Yang Chen, Xiang Zhang, Guoqiang Zhang, Rong Xu
2013	A*	`conf`	Flexible and robust co-regularized multi-domain graph clustering. KDD Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, Wei Wang
2013	J	`jnl`	GeneScissors: a comprehensive approach to detecting and correcting spurious transcriptome inference owing to RNA-seq reads misalignment. Bioinform. Zhaojun Zhang, Shunping Huang, Jack Wang, Xiang Zhang, Fernando Pardo-Manuel de Villena, Leonard McMillan, Wei Wang
2012	J	`jnl`	Chapter 10: Mining Genome-Wide Genetic Markers. PLoS Comput. Biol. Xiang Zhang, Shunping Huang, Zhaojun Zhang, Wei Wang
2012	A	`conf`	Dual Transfer Learning. SDM Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang
2012	A	`conf`	Hierarchical co-clustering based on entropy splitting. CIKM Wei Cheng, Xiang Zhang, Feng Pan, Wei Wang
2012	—	`conf`	Inferring novel associations between SNP sets and gene sets in eQTL study using sparse graphical model. BCB Wei Cheng, Xiang Zhang, Yubao Wu, Xiaolin Yin, Jing Li, David Heckerman, Wei Wang
2012	A*	`conf`	Metric Learning from Relative Comparisons by Minimizing Squared Residual. ICDM Eric Yi Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic, Wei Wang
2011	—	`conf`	Measuring Opinion Relevance in Latent Topic Space. SocialCom/PASSAT Wei Cheng, Xiaochuan Ni, Jian-Tao Sun, Xiaoming Jin, Hye-Chung Kum, Xiang Zhang, Wei Wang
2011	J	`jnl`	Tools for efficient epistasis detection in genome-wide association study. Source Code Biol. Medicine Xiang Zhang, Shunping Huang, Fei Zou, Wei Wang
2010	J	`jnl`	COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. J. Comput. Biol. Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wang
2010	—	`ch.`	Finding High-Order Correlations in High-Dimensional Biological Data. Link Mining Xiang Zhang, Feng Pan, Wei Wang
2010	J	`jnl`	TEAM: efficient two-locus epistasis tests in human genome-wide association study. Bioinform. Xiang Zhang, Shunping Huang, Fei Zou, Wei Wang
2009	B	`conf`	COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. RECOMB Xiang Zhang, Feng Pan, Yuying Xie, Fei Zou, Wei Wang
2009	J	`jnl`	Efficient algorithms for genome-wide association study. ACM Trans. Knowl. Discov. Data Xiang Zhang, Fei Zou, Wei Wang
2009	Misc	`conf`	FastChi: An Efficient Algorithm for Analyzing Gene-Gene Interactions. Pacific Symposium on Biocomputing Xiang Zhang, Fei Zou, Wei Wang
2008	A*	`conf`	A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition. ICDE Feng Pan, Xiang Zhang, Wei Wang
2008	A*	`conf`	CARE: Finding Local Linear Correlations in High Dimensional Data. ICDE Xiang Zhang, Feng Pan, Wei Wang
2008	—	`conf`	CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition. SIGMOD Conference Feng Pan, Xiang Zhang, Wei Wang
2008	A*	`conf`	Fastanova: an efficient algorithm for genome-wide association study. KDD Xiang Zhang, Fei Zou, Wei Wang
2008	J	`jnl`	Mining non-redundant high order correlations in binary data. Proc. VLDB Endow. Xiang Zhang, Feng Pan, Wei Wang, Andrew B. Nobel
2008	A	`conf`	REDUS: finding reducible subspaces in high dimensional data. CIKM Xiang Zhang, Feng Pan, Wei Wang
2007	B	`conf`	An Efficient Algorithm for Mining Coherent Patterns from Heterogeneous Microarrays. SSDBM Xiang Zhang, Wei Wang
2007	A	`conf`	On Demand Phenotype Ranking through Subspace Clustering. SDM Xiang Zhang, Wei Wang, Jun Huan
2006	A	`conf`	Mining coherent patterns from heterogeneous microarray data. CIKM Xiang Zhang, Wei Wang
2004	J	`jnl`	Novel Approaches to Biomolecular Sequence Indexing. IEEE Data Eng. Bull. Emre Karakoç, Z. Meral Özsoyoglu, Süleyman Cenk Sahinalp, Murat Tasan, Xiang Zhang