| 2026 | AAAI | PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models. | Yu Liu, Xixun Lin, Yanmin Shang, Yangxi Li, Shi Wang, Yanan Cao |
| 2026 | AAAI | Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts. | Chuancheng Song, Hanyang Shen, Yan Dong, Xixun Lin, Yanmin Shang, Yanan Cao |
| 2026 | AAAI | MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge Through Group Direct Preference Optimization. | Lanxue Zhang, Yuqiang Xie, Fang Fang, Fanglong Dong, Rui Liu, Yanan Cao |
| 2026 | ACL | DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack. | Hao Li, Yubing Ren, Yanan Cao, Yingjie Li, Fang Fang, Shi Wang, Li Guo |
| 2026 | ACL | Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations. | Yilong Liu, Xixun Lin, Pengfei Cao, Ge Zhang, Fang Fang, Yanan Cao |
| 2026 | ACL | EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment. | Yixuan Nan, Xixun Lin, Yanmin Shang, Ge Zhang, Zheng Fang, Fang Fang, Yanan Cao |
| 2026 | ACL | Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party Framework. | Zhuoshang Wang, Yubing Ren, Yanan Cao, Fang Fang, Xiaoxue Li, Li Guo |
| 2026 | ACL | CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems. | Yongxuan Wu, Xixun Lin, He Zhang, Nan Sun, Kun Wang, Chuan Zhou, Shirui Pan, Yanan Cao |
| 2026 | ACL | Cognitive Analysis Graph-Guided Multi-Turn Safety Enhancement for Large Language Models. | Lanxue Zhang, Yuqiang Xie, Fang Fang, Yubing Ren, Xuebin Wang, Yanan Cao |
| 2026 | ACL | Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection. | Xiaowei Zhu, Yubing Ren, Fang Fang, Shi Wang, Yanan Cao, Li Guo |
| 2026 | EACL | Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing. | Shigeng Chen, Linhao Luo, Zhangchi Qiu, Yanan Cao, Carl Yang, Shirui Pan |
| 2026 | WWW | Is More Context Always Better? Examining LLM Reasoning Capability for Time Interval Prediction. | Yanan Cao, Farnaz Fallahi, Murali Mohana Krishna Dandu, Lalitesh Morishetti, Kai Zhao, Luyi Ma, Sinduja Subramaniam, Jianpeng Xu, Evren Krpeoglu, Kaushiki Nag, Sushant Kumar, Kannan Achan |
| 2026 | WWW | MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues. | Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu |
| 2026 | SIGIR | CASE: Cadence-Aware Set Encoding for Large-Scale Next Basket Repurchase Recommendation. | Yanan Cao, Ashish Ranjan, Sinduja Subramaniam, Evren Krpeoglu, Kaushiki Nag, Kannan Achan |
| 2025 | AAAI | UniFORM: Towards Unified Framework for Anomaly Detection on Graphs. | Chuancheng Song, Xixun Lin, Hanyang Shen, Yanmin Shang, Yanan Cao |
| 2025 | ACL | TableCoder: Table Extraction from Text via Reliable Code Generation. | Haoyu Dong, Yue Hu, Huailiang Peng, Yanan Cao |
| 2025 | ACL | RelationalCoder: Rethinking Complex Tables via Programmatic Relational Transformation. | Haoyu Dong, Yue Hu, Huailiang Peng, Yanan Cao |
| 2025 | ACL | PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization. | Yidan Wang, Yanan Cao, Yubing Ren, Fang Fang, Zheng Lin, Binxing Fang |
| 2025 | ACL | From Trade-off to Synergy: A Versatile Symbiotic Watermarking Framework for Large Language Models. | Yidan Wang, Yubing Ren, Yanan Cao, Binxing Fang |
| 2025 | ACL | Dynamic Evaluation with Cognitive Reasoning for Multi-turn Safety of Large Language Models. | Lanxue Zhang, Yanan Cao, Yuqiang Xie, Fang Fang, Yangxi Li |
| 2025 | ACL | Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction. | Xiaowei Zhu, Yubing Ren, Yanan Cao, Xixun Lin, Fang Fang, Yangxi Li |
| 2025 | COLING | Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference. | Lanrui Wang, Jiangnan Li, Chenxu Yang, Zheng Lin, Hongyin Tang, Huan Liu, Yanan Cao, Jingang Wang, Weiping Wang |
| 2025 | ECAI | RANA: Robust Active Learning for Noisy Network Alignment. | Yixuan Nan, Xixun Lin, Yanmin Shang, Zhuofan Li, Can Zhao, Yanan Cao |
| 2025 | EMNLP | A Group Fairness Lens for Large Language Models. | Guanqun Bi, Yuqiang Xie, Lei Shen, Yanan Cao |
| 2025 | EMNLP | Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning. | Yu Liu, Yanan Cao, Xixun Lin, Yanmin Shang, Shi Wang, Shirui Pan |
| 2025 | EMNLP | Dual-Path Counterfactual Integration for Multimodal Aspect-Based Sentiment Classification. | Rui Liu, Jiahao Cao, Jiaqian Ren, Xu Bai, Yanan Cao |
| 2025 | ICASSP | Bottleneck-Constrained Contrastive Decoupled Network for Multimodal Aspect-based Sentiment Classification. | Rui Liu, Jiahao Cao, Lei Jiang, Chaodong Tong, Haimei Qin, Yanan Cao |
| 2025 | KDD | FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation. | Yongxuan Wu, Yang Liu, Xixun Lin, Hong Zhou, Yanan Cao, Lixin Zou, Yanmin Shang, Yanbing Liu |
| 2025 | WWW | Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. | Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu |
| 2025 | WWW | Bridging the Gap: Aligning Language Model Generation with Structured Information Extraction via Controllable State Transition. | Hao Li, Yubing Ren, Yanan Cao, Yingjie Li, Fang Fang, Zheng Lin, Shi Wang |
| 2025 | SIGIR | Reasoning and Retrieval for Complex Semi-structured Tables via Reinforced Relational Data Transformation. | Haoyu Dong, Yue Hu, Yanan Cao |
| 2024 | ACL | Subtle Signatures, Strong Shields: Advancing Robust and Imperceptible Watermarking in Large Language Models. | Yubing Ren, Ping Guo, Yanan Cao, Wei Ma |
| 2024 | COLING | DEIE: Benchmarking Document-level Event Information Extraction with a Large-scale Chinese News Dataset. | Yubing Ren, Yanan Cao, Hao Li, Yingjie Li, Zixuan ZM Ma, Fang Fang, Ping Guo, Wei Ma |
| 2024 | EMNLP | Towards One-to-Many Visual Question Answering. | Huishan Ji, Qingyi Si, Zheng Lin, Yanan Cao, Weiping Wang |
| 2024 | ICASSP | Sorting, Reasoning, and Extraction: An Easy-to-Hard Reasoning Framework for Document-Level Event Argument Extraction. | Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang |
| 2024 | ICML | Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. | Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao |
| 2024 | NAACL | TISE: A Tripartite In-context Selection Method for Event Argument Extraction. | Yanhe Fu, Yanan Cao, Qingyue Wang, Yi Liu |
| 2024 | WWW | Query in Your Tongue: Reinforce Large Language Models with Retrievers for Cross-lingual Search Generative Experience. | Ping Guo, Yue Hu, Yanan Cao, Yubing Ren, Yunpeng Li, Heyan Huang |
| 2024 | SIGIR | Steering Large Language Models for Cross-lingual Information Retrieval. | Ping Guo, Yubing Ren, Yue Hu, Yanan Cao, Yunpeng Li, Heyan Huang |
| 2024 | WSDM | Generative Models for Complex Logical Reasoning over Knowledge Graphs. | Yu Liu, Yanan Cao, Shi Wang, Qingyue Wang, Guanqun Bi |
| 2023 | ACL | DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation. | Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie, Zheng Lin, Xiaodong He |
| 2023 | ACL | Towards Better Entity Linking with Multi-View Enhanced Distillation. | Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Weiwei Deng, Qi Zhang |
| 2023 | ACL | Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation. | Yubing Ren, Yanan Cao, Ping Guo, Fang Fang, Wei Ma, Zheng Lin |
| 2023 | ACL | Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. | Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo |
| 2023 | CogSci | Confident Slot Iterative Learning for Multi-Domain Dialogue State Tracking. | Qingyue Wang, Yanan Cao, Piji Li, Yanhe Fu, Zheng Lin, Cong Cao, Shi Wang, Li Guo |
| 2023 | EMNLP | Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction. | Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang |
| 2023 | EMNLP | Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering. | Qingyi Si, Yuanxin Liu, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang |
| 2023 | EMNLP | An Empirical Study of Instruction-tuning Large Language Models in Chinese. | Qingyi Si, Tong Wang, Zheng Lin, Xu Zhang, Yanan Cao, Weiping Wang |
| 2023 | EMNLP | Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. | Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang |
| 2023 | ICASSP | Seri: Sketching-Reasoning-Integrating Progressive Workflow for Empathetic Response Generation. | Guanqun Bi, Yanan Cao, Piji Li, Yuqiang Xie, Fang Fang, Zheng Lin |
| 2023 | ICASSP | Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information. | Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Cheng-Zhong Xu, Dejing Dou |
| 2023 | WWW | Multi-Aspect Heterogeneous Graph Augmentation. | Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang |
| 2022 | AAAI | How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. | Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li |
| 2022 | ACL | Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization. | Ruipeng Jia, Xingxing Zhang, Yanan Cao, Zheng Lin, Shi Wang, Furu Wei |
| 2022 | COLING | CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction. | Yubing Ren, Yanan Cao, Fang Fang, Ping Guo, Zheng Lin, Wei Ma, Yi Liu |
| 2022 | COLING | Slot Dependency Modeling for Zero-Shot Cross-Domain Dialogue State Tracking. | Qingyue Wang, Yanan Cao, Piji Li, Yanhe Fu, Zheng Lin, Li Guo |
| 2022 | EMNLP | Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. | Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou |
| 2022 | EMNLP | Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. | Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou |
| 2022 | ICDM | Task-level Relations Modelling for Graph Meta-learning. | Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li |
| 2022 | IJCAI | Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge. | Jiangnan Li, Fandong Meng, Zheng Lin, Rui Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou |
| 2022 | IJCNN | Decoupled Extractive Summarization as Graph Nodes Pruning. | Hanwei Wang, Piji Li, Yanan Cao, Ruipeng Jia, Wang Hai-long, Li Yang-chun |
| 2022 | NAACL | Non-Autoregressive Chinese ASR Error Correction with Phonological Training. | Zheng Fang, Ruiqing Zhang, Zhongjun He, Hua Wu, Yanan Cao |
| 2022 | NAACL | Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training. | Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou |
| 2022 | PAKDD | Semantics-Guided Disentangled Learning for Recommendation. | Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu |
| 2022 | WWW | H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. | Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu |
| 2021 | AAAI | Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences. | Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Pengfei Yin, Shi Wang |
| 2021 | ACL | Deep Differential Amplifier for Extractive Summarization. | Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang |
| 2021 | EMNLP | TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network. | Zheng Fang, Yanan Cao, Tai Li, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu |
| 2021 | EMNLP | SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map. | Kangli Zi, Shi Wang, Yu Liu, Jicun Li, Yanan Cao, Cungen Cao |
| 2021 | ICASSP | Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction. | Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Ruipeng Jia, Fang Fang, Shi Wang |
| 2021 | ICCS | Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling. | Lu Zhang, Yawei Kong, Fang Fang, Cong Cao, Yanan Cao, Yanbing Liu, Can Ma |
| 2021 | IJCNN | Incorporating Specific Knowledge into End-to-End Task-oriented Dialogue Systems. | Qingyue Wang, Yanan Cao, Junyan Jiang, Yafang Wang, Lingling Tong, Li Guo |
| 2021 | KSEM | Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification. | Yubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu, Jianhui Fu |
| 2021 | PAKDD | Fake News Detection with Heterogenous Deep Graph Convolutional Network. | Zhezhou Kang, Yanan Cao, Yanmin Shang, Tao Liang, Hengzhu Tang, Lingling Tong |
| 2021 | WWW | Task-adaptive Neural Process for User Cold-Start Recommendation. | Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang |
| 2020 | AAAI | Type-Aware Anchor Link Prediction across Heterogeneous Networks Based on Graph Attention Network. | Xiaoxue Li, Yanmin Shang, Yanan Cao, Yangxi Li, Jianlong Tan, Yanbing Liu |
| 2020 | CIKM | DistilSum: : Distilling the Knowledge for Extractive Summarization. | Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Yanbing Liu, Jianlong Tan |
| 2020 | EMNLP | Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network. | Ruipeng Jia, Yanan Cao, Hengzhu Tang, Fang Fang, Cong Cao, Shi Wang |
| 2020 | ICDM | Exploratory Adversarial Attacks on Graph Neural Networks. | Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang |
| 2020 | IJCNN | Improving Abstractive Summarization with Iterative Representation. | Jinpeng Li, Chuang Zhang, Xiaojun Chen, Yanan Cao, Ruipeng Jia |
| 2020 | ICTAI | Data Augmentation for Insider Threat Detection with GAN. | Fangfang Yuan, Yanmin Shang, Yanbing Liu, Yanan Cao, Jianlong Tan |
| 2020 | KSEM | Category-Level Adversarial Network for Cross-Domain Sentiment Classification. | Shaokang Zhang, Huailiang Peng, Yanan Cao, Lei Jiang, Qiong Dai, Jianlong Tan |
| 2020 | PAKDD | HIN: Hierarchical Inference Network for Document-Level Relation Extraction. | Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin |
| 2020 | WWW | High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. | Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang |
| 2019 | IJCNN | Abstractive Text Summarization with Multi-Head Attention. | Jinpeng Li, Chuang Zhang, Xiaojun Chen, Yanan Cao, Pengcheng Liao, Peng Zhang |
| 2019 | KSEM | Answer-Focused and Position-Aware Neural Network for Transfer Learning in Question Generation. | Kangli Zi, Xingwu Sun, Yanan Cao, Shi Wang, Xiaoming Feng, Zhaobo Ma, Cungen Cao |
| 2019 | WWW | Joint Entity Linking with Deep Reinforcement Learning. | Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu |
| 2018 | ICANN | Hierarchical Attention Networks for User Profile Inference in Social Media Systems. | Zhezhou Kang, Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Li Guo |
| 2018 | ICANN | Reinforcement Learning for Joint Extraction of Entities and Relations. | Wenpeng Liu, Yanan Cao, Yanbing Liu, Yue Hu, Jianlong Tan |
| 2018 | ICANN | Attention-Based RNN Model for Joint Extraction of Intent and Word Slot Based on a Tagging Strategy. | Dongjie Zhang, Zheng Fang, Yanan Cao, Yanbing Liu, Xiaojun Chen, Jianlong Tan |
| 2018 | ICCS | An Adversarial Training Framework for Relation Classification. | Wenpeng Liu, Yanan Cao, Cong Cao, Yanbing Liu, Yue Hu, Li Guo |
| 2018 | ICCS | Column Concept Determination for Chinese Web Tables via Convolutional Neural Network. | Jie Xie, Cong Cao, Yanbing Liu, Yanan Cao, Baoke Li, Jianlong Tan |
| 2018 | ICCS | Adversarial Reinforcement Learning for Chinese Text Summarization. | Hao Xu, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo |
| 2018 | ICCS | Insider Threat Detection with Deep Neural Network. | Fangfang Yuan, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Binxing Fang |
| 2018 | ICTAI | Sequence Generative Adversarial Network for Long Text Summarization. | Hao Xu, Yanan Cao, Ruipeng Jia, Yanbing Liu, Jianlong Tan |
| 2018 | KSEM | A Sequence Transformation Model for Chinese Named Entity Recognition. | Qingyue Wang, Yanjing Song, Hao Liu, Yanan Cao, Yanbing Liu, Li Guo |
| 2017 | ICCS | Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold. | Qian Li, Zhichao Wang, Gang Li, Yanan Cao, Gang Xiong, Li Guo |
| 2017 | ICONIP | Inferring Social Network User's Interest Based on Convolutional Neural Network. | Yanan Cao, Shi Wang, Xiaoxue Li, Cong Cao, Yanbing Liu, Jianlong Tan |
| 2017 | KSEM | Inferring User Profiles in Online Social Networks Based on Convolutional Neural Network. | Xiaoxue Li, Yanan Cao, Yanmin Shang, Yanbing Liu, Jianlong Tan, Li Guo |
| 2015 | CIKM | Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization. | Qian Li, Wenjia Niu, Gang Li, Yanan Cao, Jianlong Tan, Li Guo |
| 2015 | ICCD | Memory design for selective error protection. | Yanan Cao, Long Chen, Zhao Zhang |
| 2015 | KSEM | Two-Phased Event Causality Acquisition: Coupling the Boundary Identification and Argument Identification Approaches. | Yanan Cao, Cungen Cao, Jingzun Zhang, Wenjia Niu |
| 2015 | KSEM | Tree Based Shape Similarity Measurement for Chinese Characters. | Yanan Cao, Shi Wang, Cungen Cao |
| 2014 | AAAI | Combining Heterogenous Social and Geographical Information for Event Recommendation. | Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo, Binxing Fang |
| 2014 | AAAI | Event Recommendation in Event-Based Social Networks. | Zhi Qiao, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo, Yanchuan Zhang |
| 2014 | ICCS | Mining Large-scale Event Knowledge from Web Text. | Yanan Cao, Peng Zhang, Jing Guo, Li Guo |
| 2014 | ICCS | Improving Collaborative Recommendation via Location-based User-item Subgroup. | Zhi Qiao, Peng Zhang, Yanan Cao, Chuan Zhou, Li Guo |
| 2014 | PAKDD | Forward Classification on Data Streams. | Peng Wang, Peng Zhang, Yanan Cao, Li Guo, Binxing Fang |
| 2014 | WWW | Combining geographical information of users and content of items for accurate rating prediction. | Zhi Qiao, Peng Zhang, Jing He, Yanan Cao, Chuan Zhou, Li Guo |
| 2013 | CIKM | Personalized influence maximization on social networks. | Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo |
| 2013 | ICCD | Free ECC: An efficient error protection for compressed last-level caches. | Long Chen, Yanan Cao, Zhao Zhang |
| 2013 | ICDM | Item-Based Top-k Influential User Discovery in Social Networks. | Jing Guo, Peng Zhang, Chuan Zhou, Yanan Cao, Li Guo |
| 2013 | ISI | Behavioral targeting with social regularization. | Yanmin Shang, Peng Zhang, Yanan Cao, Li Guo |
| 2013 | VLSID | CASHIER: A Cache Energy Saving Technique for QoS Systems. | Sparsh Mittal, Zhao Zhang, Yanan Cao |
| 2013 | SERVICES | Research of Intrusion Detection System on Android. | Fangfang Yuan, Lidong Zhai, Yanan Cao, Li Guo |
| 2012 | ICDM | Efficient Behavior Targeting Using SVM Ensemble Indexing. | Jun Li, Peng Zhang, Yanan Cao, Ping Liu, Li Guo |
| 2007 | KSEM | Learning Concepts from Text Based on the Inner-Constructive Model. | Shi Wang, Yanan Cao, Xinyu Cao, Cungen Cao |