Wei Zhou

139 papers A* 16A 6B 11C 8Misc 3Journal 52Unranked 43
YearRankTypeTitle / Venue / Authors
2026 J jnl
Diagnosing Retrieval Bias Under Multiple In-Context Knowledge Updates in Large Language Models.
CoRR
Boyu Qiao, Sean Guo, Xian Yang, Kun Li, Wei Zhou, Songlin Hu, Yunya Song
2026 A* conf
GLOBA: Rethinking Parameter Conflicts in Model Merging.
AAAI
Zehao Liu, Kun Li, Wei Zhou
2026 J jnl
MGDIL: Multi-Granularity Summarization and Domain-Invariant Learning for Cross-Domain Social Bot Detection.
CoRR
Boyu Qiao, Yunman Chen, Kun Li, Wei Zhou, Songlin Hu, Yunya Song
2026 J jnl
Mem2ActBench: A Benchmark for Evaluating Long-Term Memory Utilization in Task-Oriented Autonomous Agents.
CoRR
Yiting Shen, Kun Li, Wei Zhou, Songlin Hu
2025 C conf
APEE: Assessing the Personality Expressions of LLM-Driven Role Play Agent Beyond Self-Perception.
CSCWD
Kun Li, Chenwei Dai, Wei Zhou, Songlin Hu
2025 A* conf
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding.
AAAI
Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu
2025 J jnl
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding.
CoRR
Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu
2025 A* conf
BotSim: LLM-Powered Malicious Social Botnet Simulation.
AAAI
Boyu Qiao, Kun Li, Wei Zhou, Shilong Li, Qianqian Lu, Songlin Hu
2025 — conf
Capture the Key in Reasoning to Enhance CoT Distillation Generalization.
ACL (1)
Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu
2025 B conf
ComSFI: A Community-Aware Approach to Early Rumor Propagation Prediction.
ICTAI
Yuhang Wang, Wei Zhou, Ziang Hu, Jizhong Han, Tao Guo
2025 B conf
DORA: Dynamic Optimization Prompt for Continuous Reflection of LLM-based Agent.
COLING
Kun Li, Tingzhang Zhao, Wei Zhou, Songlin Hu
2025 A* conf
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs.
EMNLP
Minxuan Lv, Zhenpeng Su, Leiyu Pan, Yizhe Xiong, Zijia Lin, Hui Chen, Wei Zhou, Jungong Han, Guiguang Ding, Wenwu Ou, Di Zhang, Kun Gai, Songlin Hu
2025 J jnl
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs.
CoRR
Minxuan Lv, Zhenpeng Su, Leiyu Pan, Yizhe Xiong, Zijia Lin, Hui Chen, Wei Zhou, Jungong Han, Guiguang Ding, Cheng Luo, Di Zhang, Kun Gai, Songlin Hu
2025 J jnl
Dispelling the Fake: Social Bot Detection Based on Edge Confidence Evaluation.
IEEE Trans. Neural Networks Learn. Syst.
Boyu Qiao, Wei Zhou, Kun Li, Shilong Li, Songlin Hu
2025 — conf
Dynamic Simulation Framework for Disinformation Dissemination and Correction With Social Bots.
EMNLP (Findings)
Boyu Qiao, Kun Li, Wei Zhou, Songlin Hu
2025 J jnl
Dynamic Simulation Framework for Disinformation Dissemination and Correction With Social Bots.
CoRR
Boyu Qiao, Kun Li, Wei Zhou, Songlin Hu
2025 A* conf
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models.
AAAI
Han Cao, Lingwei Wei, Wei Zhou, Songlin Hu
2025 J jnl
Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models.
CoRR
Han Cao, Lingwei Wei, Wei Zhou, Songlin Hu
2025 C conf
GRAgent: A Generative Retrieval Framework for Action Subspace Selection.
CSCWD
Minxuan Lv, Kun Li, Wei Zhou, Songlin Hu
2025 Misc conf
Identifying Bots on Social Media through Coordinated Group Perception.
ICASSP
Boyu Qiao, Kun Li, Wei Zhou, Shilong Li, Qianqian Lu, Songlin Hu
2025 — conf
Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding.
ACL (1)
Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu
2025 — conf
LLM-Based Behavior Prediction for Social Media Users with Continuous Memory.
IJCNLP-AACL (long papers)
Kun Li, Chengwei Dai, Wei Zhou, Songlin Hu
2025 B conf
MPPFND: A Dataset and Analysis of Detecting Fake News with Multi-Platform Propagation.
CogSci
Congyuan Zhao, Lingwei Wei, Ziming Qin, Wei Zhou, Yunya Song, Songlin Hu
2025 J jnl
MPPFND: A Dataset and Analysis of Detecting Fake News with Multi-Platform Propagation.
CoRR
Congyuan Zhao, Lingwei Wei, Ziming Qin, Wei Zhou, Yunya Song, Songlin Hu
2025 — conf
Regularized Contrastive Decoding with Hard Negative Samples for LLM Hallucination Mitigation.
EMNLP (Findings)
Haonan Sheng, Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu
2025 — conf
Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection.
ACL (Findings)
Lingwei Wei, Dou Hu, Wei Zhou, Philip S. Yu, Songlin Hu
2025 — conf
Structure-aware Propagation Generation with Large Language Models for Fake News Detection.
EMNLP (Findings)
Mengyang Chen, Lingwei Wei, Wei Zhou, Songlin Hu
2025 J jnl
Structure-aware Propagation Generation with Large Language Models for Fake News Detection.
CoRR
Mengyang Chen, Lingwei Wei, Wei Zhou, Songlin Hu
2024 C conf
Adaptive Mixture of Domain-aware Experts for Detecting Social Bots.
CSCWD
Qianqian Lu, Shilong Li, Kun Li, Wei Zhou, Liangjun Zang
2024 J jnl
Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation.
CoRR
Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu
2024 J jnl
BotSim: LLM-Powered Malicious Social Botnet Simulation.
CoRR
Boyu Qiao, Kun Li, Wei Zhou, Shilong Li, Qianqian Lu, Songlin Hu
2024 B conf
CSFI for Social Media: Understanding and Predicting Cross-Community Information Propagation.
ICTAI
Yuhang Wang, Wei Zhou, Ziang Hu, Jizhong Han, Tao Guo
2024 — conf
Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems.
NAACL-HLT
Zhenpeng Su, Xing Wu, Wei Zhou, Guangyuan Ma, Songlin Hu
2024 J jnl
Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media.
CoRR
Kun Li, Chenwei Dai, Wei Zhou, Songlin Hu
2024 A* conf
Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs Distillation.
EMNLP
Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu
2024 J jnl
Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs Distillation.
CoRR
Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu
2024 A* conf
Information Diffusion Prediction with Graph Neural Ordinary Differential Equation Network.
ACM Multimedia
Ding Wang, Wei Zhou, Songlin Hu
2024 J jnl
Knowledge Enhanced Vision and Language Model for Multi-Modal Fake News Detection.
IEEE Trans. Multim.
Xingyu Gao, Xi Wang, Zhenyu Chen, Wei Zhou, Steven C. H. Hoi
2024 J jnl
MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts.
CoRR
Zhenpeng Su, Zijia Lin, Xue Bai, Xing Wu, Yizhe Xiong, Haoran Lian, Guangyuan Ma, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu
2024 — conf
MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models.
NAACL-HLT (Findings)
Zhenpeng Su, Zijia Lin, Bai Xue, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu
2024 J jnl
Modeling the Uncertainty of Information Propagation for Rumor Detection: A Neuro-Fuzzy Approach.
IEEE Trans. Neural Networks Learn. Syst.
Lingwei Wei, Dou Hu, Wei Zhou, Xin Wang, Songlin Hu
2024 A conf
Multi-source Knowledge Enhanced Graph Attention Networks for Multimodal Fact Verification.
ICME
Han Cao, Lingwei Wei, Wei Zhou, Songlin Hu
2024 J jnl
Multi-source Knowledge Enhanced Graph Attention Networks for Multimodal Fact Verification.
CoRR
Han Cao, Lingwei Wei, Wei Zhou, Songlin Hu
2024 — conf
Multi-stream Information Fusion Framework for Emotional Support Conversation.
LREC/COLING
Yinan Bao, Dou Hu, Lingwei Wei, Shuchong Wei, Wei Zhou, Songlin Hu
2024 — conf
Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection.
ECML/PKDD (7)
Mengyang Chen, Lingwei Wei, Han Cao, Wei Zhou, Zhou Yan, Songlin Hu
2024 — conf
Representation Learning with Conditional Information Flow Maximization.
ACL (1)
Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu
2024 J jnl
Representation Learning with Conditional Information Flow Maximization.
CoRR
Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu
2024 A* conf
Structured Probabilistic Coding.
AAAI
Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu
2024 Misc conf
Transferring Structure Knowledge: A New Task to Fake News Detection towards Cold-Start Propagation.
ICASSP
Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu
2024 J jnl
Transferring Structure Knowledge: A New Task to Fake news Detection Towards Cold-Start Propagation.
CoRR
Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu
2023 — conf
A Method of Social Context Enhanced User Preferences for Conversational Recommender Systems.
ICCS (4)
Zhanchao Gao, Lingwei Wei, Wei Zhou, Meng Lin, Songlin Hu
2023 J jnl
Are Large Language Models Good Fact Checkers: A Preliminary Study.
CoRR
Han Cao, Lingwei Wei, Mengyang Chen, Wei Zhou, Songlin Hu
2023 A* conf
CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability.
EMNLP
Minxuan Lv, Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu
2023 J jnl
CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability.
CoRR
Minxuan Lv, Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu
2023 J jnl
Can Large Language Models Understand Content and Propagation for Misinformation Detection: An Empirical Study.
CoRR
Mengyang Chen, Lingwei Wei, Han Cao, Wei Zhou, Songlin Hu
2023 J jnl
ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems.
CoRR
Zhenpeng Su, Xing Wu, Wei Zhou, Guangyuan Ma, Songlin Hu
2023 J jnl
HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus.
CoRR
Zhenpeng Su, Xing Wu, Wei Zhou, Guangyuan Ma, Songlin Hu
2023 J jnl
HIM: An End-to-End Hierarchical Interaction Model for Aspect Sentiment Triplet Extraction.
IEEE ACM Trans. Audio Speech Lang. Process.
Yaxin Liu, Yan Zhou, Ziming Li, Junlin Wang, Wei Zhou, Songlin Hu
2023 J jnl
InfoEntropy Loss to Mitigate Bias of Learning Difficulties for Generative Language Models.
CoRR
Zhenpeng Su, Xing Wu, Xue Bai, Zijia Lin, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu
2023 A* conf
MeaeQ: Mount Model Extraction Attacks with Efficient Queries.
EMNLP
Chengwei Dai, Minxuan Lv, Kun Li, Wei Zhou
2023 J jnl
MeaeQ: Mount Model Extraction Attacks with Efficient Queries.
CoRR
Chengwei Dai, Minxuan Lv, Kun Li, Wei Zhou
2023 J jnl
Mining Weak Relations Between Reviews for Opinion Spam Detection.
IEEE ACM Trans. Audio Speech Lang. Process.
Yingrui Xu, Hao Liu, Jingguo Ge, Xiaodan Zhang, Jingyuan Hu, Yulei Wu, Honglei Lv, Hongbin Shi, Wei Zhou
2023 J jnl
Modeling Both Intra- and Inter-Modality Uncertainty for Multimodal Fake News Detection.
IEEE Trans. Multim.
Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu
2023 A* conf
Multi-modal Social Bot Detection: Learning Homophilic and Heterophilic Connections Adaptively.
ACM Multimedia
Shilong Li, Boyu Qiao, Kun Li, Qianqian Lu, Meng Lin, Wei Zhou
2023 A conf
Semantic Stage-Wise Learning for Knowledge Distillation.
ICME
Dongqin Liu, Wentao Li, Wei Zhou, Zhaoxing Li, Jiao Dai, Jizhong Han, Ruixuan Li, Songlin Hu
2023 A conf
Social Bot Detection Based on Window Strategy.
ICME
Boyu Qiao, Kun Li, Wei Zhou, Zhou Yan, Shilong Li, Songlin Hu
2023 J jnl
Structured Probabilistic Coding.
CoRR
Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu
2023 — conf
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations.
ACL (1)
Dou Hu, Yinan Bao, Lingwei Wei, Wei Zhou, Songlin Hu
2023 J jnl
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations.
CoRR
Dou Hu, Yinan Bao, Lingwei Wei, Wei Zhou, Songlin Hu
2023 — conf
UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis.
SemEval@ACL
Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu
2023 J jnl
UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis.
CoRR
Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu
2022 — conf
A Heterogeneous Propagation Graph Model for Rumor Detection Under the Relationship Among Multiple Propagation Subtrees.
ECML/PKDD (2)
Guoyi Li, Jingyuan Hu, Yulei Wu, Xiaodan Zhang, Wei Zhou, Honglei Lyu
2022 B conf
A Unified Propagation Forest-based Framework for Fake News Detection.
COLING
Lingwei Wei, Dou Hu, Yantong Lai, Wei Zhou, Songlin Hu
2022 — conf
Cascade-Enhanced Graph Convolutional Network for Information Diffusion Prediction.
DASFAA (1)
Ding Wang, Lingwei Wei, Chunyuan Yuan, Yinan Bao, Wei Zhou, Xian Zhu, Songlin Hu
2022 — conf
Deception Detection Towards Multi-turn Question Answering with Context Selector Network.
PRICAI (1)
Yinan Bao, Qianwen Ma, Lingwei Wei, Ding Wang, Wei Zhou, Songlin Hu
2022 — conf
MRCE: A Multi-Representation Collaborative Enhancement Model for Aspect-Opinion Pair Extraction.
ICONIP (7)
Yaxin Liu, Yan Zhou, Ziming Li, Dongjun Wei, Wei Zhou, Songlin Hu
2022 — conf
Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion Cause Pair Extraction.
ACL (Findings)
Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu
2022 J jnl
Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion-Cause Pair Extraction.
CoRR
Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu
2022 A* conf
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation.
IJCAI
Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu
2022 J jnl
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation.
CoRR
Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu
2022 B conf
Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection.
COLING
Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu
2021 A conf
Entity and Relation Matching Consensus for Entity Alignment.
CIKM
Jinzhu Yang, Ding Wang, Wei Zhou, Wanhui Qian, Xin Wang, Jizhong Han, Songlin Hu
2021 — conf
Label-Specific Dual Graph Neural Network for Multi-Label Text Classification.
ACL/IJCNLP (1)
Qianwen Ma, Chunyuan Yuan, Wei Zhou, Songlin Hu
2021 C conf
PEN4Rec: Preference Evolution Networks for Session-Based Recommendation.
KSEM
Dou Hu, Lingwei Wei, Wei Zhou, Xiaoyong Huai, Zhiqi Fang, Songlin Hu
2021 J jnl
PEN4Rec: Preference Evolution Networks for Session-based Recommendation.
CoRR
Dou Hu, Lingwei Wei, Wei Zhou, Xiaoyong Huai, Zhiqi Fang, Songlin Hu
2021 B conf
SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media.
IJCNN
Chunyuan Yuan, Wanhui Qian, Qianwen Ma, Wei Zhou, Songlin Hu
2021 B conf
SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media.
IJCNN
Chunyuan Yuan, Wanhui Qian, Qianwen Ma, Wei Zhou, Songlin Hu
2021 J jnl
SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media.
CoRR
Chunyuan Yuan, Wanhui Qian, Qianwen Ma, Wei Zhou, Songlin Hu
2021 Misc conf
Topic Sequence Embedding for User Identity Linkage from Heterogeneous Behavior Data.
ICASSP
Jinzhu Yang, Wei Zhou, Wanhui Qian, Jizhong Han, Songlin Hu
2021 — conf
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection.
ACL/IJCNLP (1)
Lingwei Wei, Dou Hu, Wei Zhou, Zhaojuan Yue, Songlin Hu
2021 J jnl
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection.
CoRR
Lingwei Wei, Dou Hu, Wei Zhou, Zhaojuan Yue, Songlin Hu
2020 — conf
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization.
PAKDD (2)
Dongjun Wei, Yaxin Liu, Fuqing Zhu, Liangjun Zang, Wei Zhou, Yijun Lu, Songlin Hu
2020 J jnl
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization.
CoRR
Dongjun Wei, Yaxin Liu, Fuqing Zhu, Liangjun Zang, Wei Zhou, Yijun Lu, Songlin Hu
2020 A conf
Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification.
WSDM
Qianwen Ma, Chunyuan Yuan, Wei Zhou, Jizhong Han, Songlin Hu
2020 — conf
DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction.
ECML/PKDD (3)
Chunyuan Yuan, Jiacheng Li, Wei Zhou, Yijun Lu, Xiaodan Zhang, Songlin Hu
2020 J jnl
DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction.
CoRR
Chunyuan Yuan, Jiacheng Li, Wei Zhou, Yijun Lu, Xiaodan Zhang, Songlin Hu
2020 J jnl
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning.
CoRR
Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu
2020 B conf
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning.
COLING
Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu
2020 A* conf
Exploiting Heterogeneous Artist and Listener Preference Graph for Music Genre Classification.
ACM Multimedia
Chunyuan Yuan, Qianwen Ma, Junyang Chen, Wei Zhou, Xiaodan Zhang, Xuehai Tang, Jizhong Han, Songlin Hu
2020 — conf
GCN-IA: User Profile Based on Graph Convolutional Network with Implicit Association Labels.
ICCS (3)
Jie Wen, Lingwei Wei, Wei Zhou, Jizhong Han, Tao Guo
2020 — conf
Hierarchical Interaction Networks with Rethinking Mechanism for Document-Level Sentiment Analysis.
ECML/PKDD (3)
Lingwei Wei, Dou Hu, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu
2020 J jnl
Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis.
CoRR
Lingwei Wei, Dou Hu, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu
2020 — conf
RE-GCN: Relation Enhanced Graph Convolutional Network for Entity Alignment in Heterogeneous Knowledge Graphs.
DASFAA (2)
Jinzhu Yang, Wei Zhou, Lingwei Wei, Junyu Lin, Jizhong Han, Songlin Hu
2020 A* conf
Who Are Controlled by The Same User? Multiple Identities Deception Detection via Social Interaction Activity (Student Abstract).
AAAI
Jiacheng Li, Chunyuan Yuan, Wei Zhou, Jingli Wang, Songlin Hu
2020 J jnl
Yet another approach to understanding news event evolution.
World Wide Web
Shangwen Lv, Longtao Huang, Liangjun Zang, Wei Zhou, Jizhong Han, Songlin Hu
2019 — conf
A Time-Series Sockpuppet Detection Method for Dynamic Social Relationships.
DASFAA (1)
Wei Zhou, Jingli Wang, Junyu Lin, Jiacheng Li, Jizhong Han, Songlin Hu
2019 J jnl
Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification.
CoRR
Qianwen Ma, Chunyuan Yuan, Wei Zhou, Jizhong Han, Songlin Hu
2019 — conf
ESA: Entity Summarization with Attention.
EYRE@CIKM
Dongjun Wei, Yaxin Liu, Fuqing Zhu, Liangjun Zang, Wei Zhou, Jizhong Han, Songlin Hu
2019 — conf
Fusion Convolutional Attention Network for Opinion Spam Detection.
ICONIP (1)
Jiacheng Li, Qianwen Ma, Chunyuan Yuan, Wei Zhou, Jizhong Han, Songlin Hu
2019 A* conf
Jointly Embedding the Local and Global Relations of Heterogeneous Graph for Rumor Detection.
ICDM
Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu
2019 J jnl
Jointly embedding the local and global relations of heterogeneous graph for rumor detection.
CoRR
Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu
2019 A* conf
Learning Review Representations from user and Product Level Information for Spam Detection.
ICDM
Chunyuan Yuan, Wei Zhou, Qianwen Ma, Shangwen Lv, Jizhong Han, Songlin Hu
2019 J jnl
Learning review representations from user and product level information for spam detection.
CoRR
Chunyuan Yuan, Wei Zhou, Qianwen Ma, Shangwen Lv, Jizhong Han, Songlin Hu
2019 — conf
MLP-IA: Multi-label User Profile Based on Implicit Association Labels.
ICCS (1)
Lingwei Wei, Wei Zhou, Jie Wen, Meng Lin, Jizhong Han, Songlin Hu
2019 — conf
Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots.
EMNLP/IJCNLP (1)
Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu
2019 — conf
Sockpuppet Detection in Social Network via Propagation Tree.
ICCS (5)
Jiacheng Li, Wei Zhou, Jizhong Han, Songlin Hu
2018 — conf
An Online Sockpuppet Detection Method Based on Subgraph Similarity Matching.
ISPA/IUCC/BDCloud/SocialCom/SustainCom
Jingli Wang, Wei Zhou, Jiacheng Li, Zhou Yan, Jizhong Han, Songlin Hu
2016 J jnl
An efficient graph data processing system for large-scale social network service applications.
Concurr. Comput. Pract. Exp.
Wei Zhou, Jizhong Han, Yun Gao, Zhiyong Xu
2016 — conf
Reducing the Communication Costs of Graph Analysis by Read-Only Replicas and Prioritized Execution.
HPCC/SmartCity/DSS
Yun Gao, Wei Zhou, Jizhong Han, Dan Meng
2015 — conf
A Distributed Graph Data Storage and Computing Framework.
HPCC/CSS/ICESS
Wei Zhou, Yun Gao, Jizhong Han, Yinliang Yue, Zhiyong Xu
2015 — conf
An evaluation and analysis of graph processing frameworks on five key issues.
Conf. Computing Frontiers
Yun Gao, Wei Zhou, Jizhong Han, Dan Meng, Zhang Zhang, Zhiyong Xu
2015 — conf
NYNN: An in-memory distributed storage system for massive graph analysis.
ICACI
Panfeng Ran, Wei Zhou, Jizhong Han
2014 — conf
A Novel Clustering Algorithm on Large-Scale Graph Data.
CCBD
Hao Zhang, Wei Zhou, Xiaoyu Wan, Ge Fu, Zhiyong Xu, Jizhong Han
2014 — conf
Cress: Dynamic Scheduling for Resource Constrained Jobs.
CSE
Yong Li, Jizhong Han, Wei Zhou
2014 C conf
Marbor: A novel large-scale graph data storage and processing framework.
IPCCC
Wei Zhou, Yun Gao, Jizhong Han, Zhiyong Xu
2014 A conf
Online Anomaly Detection by Improved Grammar Compression of Log Sequences.
SDM
Yun Gao, Wei Zhou, Zhang Zhang, Jizhong Han, Dan Meng, Zhiyong Xu
2014 C conf
PADM: Page Rank-Based Anomaly Detection Method of Log Sequences by Graph Computing.
CloudCom
Xiaoben Yan, Wei Zhou, Yun Gao, Zhang Zhang, Jizhong Han, Ge Fu
2013 — conf
Arbor: Efficient Large-Scale Graph Data Computing Model.
HPCC/EUC
Wei Zhou, Bo Li, Jizhong Han, Zhiyong Xu
2013 J jnl
HDKV: supporting efficient high-dimensional similarity search in key-value stores.
Concurr. Comput. Pract. Exp.
Wei Zhou, Jizhong Han, Zhang Zhang, Jiao Dai, Zhiyong Xu
2013 — conf
Lynn: A Multi-dimensional Dynamic Resource Management System for Distributed Applications in Clouds.
CSC
Zhang Zhang, Jizhong Han, Bo Li, Wei Zhou, Dan Meng
2012 — conf
Dynamic Random Access for Hadoop Distributed File System.
ICDCS Workshops
Wei Zhou, Jizhong Han, Zhang Zhang, Jiao Dai
2012 B conf
LogMaster: Mining Event Correlations in Logs of Large-Scale Cluster Systems.
SRDS
Xiaoyu Fu, Rui Ren, Jianfeng Zhan, Wei Zhou, Zhen Jia, Gang Lu
2010 B conf
Accelerating Spatial Data Processing with MapReduce.
ICPADS
Kai Wang, Jizhong Han, Bibo Tu, Jiao Dai, Wei Zhou, Xuan Song
2010 J jnl
LogMaster: Mining Event Correlations in Logs of Large scale Cluster Systems
CoRR
Wei Zhou, Jianfeng Zhan, Dan Meng, Dongyan Xu, Zhihong Zhang
2010 C conf
Online Event Correlations Analysis in System Logs of Large-Scale Cluster Systems.
NPC
Wei Zhou, Jianfeng Zhan, Dan Meng, Zhihong Zhang
2010 J jnl
Scalable Group Management in Large-Scale Virtualized Clusters
CoRR
Wei Zhou, Lei Wang, Dan Meng, Lin Yuan, Jianfeng Zhan
2009 J jnl
Multidimensional Analysis of System Logs in Large-scale Cluster Systems
CoRR
Wei Zhou, Jianfeng Zhan, Dan Meng
2009 J jnl
Phoenix Cloud : Consolidating Heterogeneous Workloads of Large Organizations on Cloud Computing Platforms
CoRR
Jianfeng Zhan, Lei Wang, Bibo Tu, Yong Li, Peng Wang, Wei Zhou, Dan Meng
2007 C conf
A layered design methodology of cluster system stack.
CLUSTER
Jianfeng Zhan, Lei Wang, Bibo Tu, Zhihong Zhang, Yu Wen, Yuansheng Chen, Wei Zhou, Dan Meng, Ninghui Sun