Proactive Identification and Prevention of Unexpected Future Rule Conflicts in Attribute Based Access Control. - Daren Zha; Jiwu Jing; Peng Liu 005; Jingqiang Lin 001; Xiaoqi Jia (ICCSA (4), 2010)

Mitigating the Malicious Trust Expansion in Social Network Service. - Daren Zha; Jiwu Jing; Le Kang (ISPEC, 2010)

Launching Return-Oriented Programming Attacks against Randomized Relocatable Executables. - Limin Liu; Jin Han 002; Debin Gao; Jiwu Jing; Daren Zha (TrustCom, 2011)

From Mini House Game to Hobby-Driven Behavioral Biometrics-Based Password. - Weiyu Jiang; Ji Xiang; Limin Liu; Daren Zha; Lei Wang 135 (TrustCom/ISPA/IUCC, 2013)

Implementing a Covert Timing Channel Based on Mimic Function. - Jing Wang; Le Guan; Limin Liu; Daren Zha (ISPEC, 2014)

EFS: Efficient and Fault-Scalable Byzantine Fault Tolerant Systems Against Faulty Clients. - Quanwei Cai 001; Jingqiang Lin 001; Fengjun Li; Qiongxiao Wang; Daren Zha (SecureComm (1), 2014)

An Energy-Efficient Distributed Routing Protocol for Wireless Sensor Networks with Mobile Sinks. - Hengyi Wen; Tao Wang; Daren Zha; Baoxian Zhang (ADHOCNETS, 2018)

CNN-Based Chinese Character Recognition with Skeleton Feature. - Wei Tang; Yijun Su; Xiang Li 045; Daren Zha; Weiyu Jiang; Neng Gao; Ji Xiang (ICONIP (5), 2018)

Intention Understanding Model Inspired by CBC Loops. - Jiahui Shen; Ji Xiang; Daren Zha; Tianshu Fu; Dingyang Duan (CSCWD, 2019)

Perceiving Topic Bubbles: Local Topic Detection in Spatio-Temporal Tweet Stream. - Junsha Chen; Neng Gao; Cong Xue; Chenyang Tu; Daren Zha (DASFAA (2), 2019)

Hybrid CNNs: A Rotation Equivariant Framework for High Resolution Spherical Images. - Wei Yu; Daren Zha; Nan Mu; Tianshu Fu (ICDSP, 2019)

Node-Edge Bilateral Attributed Network Embedding. - Jingjie Mo; Neng Gao; Ji Xiang; Daren Zha (ICONIP (5), 2019)

HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendation. - Yijun Su; Xiang Li 045; Daren Zha; Wei Tang; Yiwen Jiang; Ji Xiang; Neng Gao (ICONIP (3), 2019)

A Robust Embedding for Attributed Networks with Outliers. - Cheng Zhang; Le Zhang; Yuanye He; Daren Zha (ICONIP (4), 2019)

Graph Attention Networks for Neural Social Recommendation. - Nan Mu; Daren Zha; Yuanye He; Zhihao Tang 001 (ICTAI, 2019)

Personalized Point-of-Interest Recommendation on Ranking with Poisson Factorization. - Yijun Su; Xiang Li 045; Wei Tang; Daren Zha; Ji Xiang; Neng Gao (IJCNN, 2019)

A Multi-granularity Neural Network for Answer Sentence Selection. - Chenggong Zhang; Weijuan Zhang; Daren Zha; Pengjie Ren; Nan Mu (IJCNN, 2019)

Dynamic Network Embedding by Semantic Evolution. - Yujing Zhou; Weile Liu; Yang Pei; Lei Wang 135; Daren Zha; Tianshu Fu (IJCNN, 2019)

Your Pedometer Tells You: Attribute Inference via Daily Walking Step Count. - Yiwen Jiang; Wei Tang; Neng Gao; Ji Xiang; Daren Zha; Xiang Li 045 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

PPSI: Practical Private Set Intersection Over Large-Scale Datasets. - Shuo Qiu; Zekun Dai; Daren Zha; Zheng Zhang; Yanan Liu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

A Practical Differentially Private Support Vector Machine. - Feifei Xu; Jia Peng; Ji Xiang; Daren Zha (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

CARec: Content-Aware Point-of-Interest Recommendation via Adaptive Bayesian Personalized Ranking. - Baoping Liu; Yijun Su; Daren Zha; Neng Gao; Ji Xiang (Aust. J. Intell. Inf. Process. Syst., 2019)

SEDE: Semantic Evolution-based Dynamic Knowledge Graph Embedding. - Yujing Zhou; Jia Peng; Lei Wang 135; Daren Zha; Nan Mu (Aust. J. Intell. Inf. Process. Syst., 2019)

HidingGAN: High Capacity Information Hiding with Generative Adversarial Network. - Zihan Wang; Neng Gao; Xin Wang 086; Ji Xiang; Daren Zha; Linghui Li (Comput. Graph. Forum, 2019)

FGCRec: Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation. - Yijun Su; Xiang Li 045; Baoping Liu; Daren Zha; Ji Xiang; Wei Tang; Neng Gao (ICC, 2020)

FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences. - Yijun Su; Jia-Dong Zhang; Xiang Li 045; Daren Zha; Ji Xiang; Wei Tang; Neng Gao (IJCNN, 2020)

NarGNN: Narrative Graph Neural Networks for New Script Event Prediction Problem. - Shuang Yang; Fali Wang; Daren Zha; Cong Xue; Zhihao Tang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Collaborative Denoising Graph Attention Autoencoders for Social Recommendation. - Nan Mu; Daren Zha; Lin Zhao; Rui Gong (SEKE, 2020)

First-order and High-order Information Fusion over Heterogeneous Information Network for Top-N Recommendation System. - Nan Mu; Daren Zha (CSCWD, 2021)

Gated Knowledge Graph Neural Networks for Top-N Recommendation System. - Nan Mu; Daren Zha; Rui Gong (CSCWD, 2021)

Graph Attention Autoencoder for Collaborative Pair-wise Ranking. - Nan Mu; Daren Zha; Yuanye He; Lin Zhao (CSCWD, 2021)

Neural Demographic Prediction in Social Media with Deep Multi-view Multi-task Learning. - Yantong Lai; Yijun Su; Cong Xue; Daren Zha (DASFAA (2), 2021)

MACROBERT: Maximizing Certified Region of BERT to Adversarial Word Substitutions. - Fali Wang; Zheng Lin 001; Zhengxiao Liu; Mingyu Zheng; Lei Wang 135; Daren Zha (DASFAA (2), 2021)

Efficient, Low-Cost, Real-Time Video Super-Resolution Network. - Guanqun Liu 002; Xin Wang 086; Daren Zha; Lei Wang 135; Lin Zhao 006 (ICONIP (4), 2021)

FRAGAN-VSR: Frame-Recurrent Attention Generative Adversarial Network for Video Super-Resolution. - Yuzhen Zhang; Guanqun Liu 002; Yanyan Zhao; Daren Zha; Xin Wang 086; Lin Zhao 006; Lei Wang 135 (ICTAI, 2021)

Hierarchical and Multi-Resolution Preference Modeling for Next POI Recommendation. - Yanyan Zhao; Jingyi Liu; Daren Zha; Kai Liu (IJCNN, 2021)

Representing Knowledge Graphs with Gaussian Mixture Embedding. - Wenying Feng 002; Daren Zha; Xiaobo Guo; Yao Dong 003; Yuanye He (KSEM, 2021)

A Novel Analog Circuit Soft Fault Diagnosis Method Based on Convolutional Neural Network and Backward Difference. - Chenggong Zhang; Daren Zha; Lei Wang 135; Nan Mu (Symmetry, 2021)

Convolutional 3D Embedding for Knowledge Graph Completion. - Wenying Feng 002; Daren Zha; Lei Wang 135; Xiaobo Guo (CSCWD, 2022)

Invoke-Deobfuscation: AST-Based and Semantics-Preserving Deobfuscation for PowerShell Scripts. - Huajun Chai; Lingyun Ying; Haixin Duan; Daren Zha (DSN, 2022)

A Noise-Aware Framework for Blind Image Super-Resolution. - Guanqun Liu 002; Xin Wang 086; Lei Wang 135; Daren Zha; Lin Zhao 006; Zhe Kong; Peng Qi 005 (ICME, 2022)

Searching Models with Nested Attention for Blind Super-Resolution. - Guanqun Liu 002; Xin Wang 086; Lei Wang 135; Daren Zha; Lin Zhao 006; Zhe Kong; Peng Qi 005 (ICME, 2022)

MSK-Net: Multi-source Knowledge Base Enhanced Networks for Script Event Prediction. - Shuang Yang; Daren Zha; Cong Xue (ICONIP (7), 2022)

Dynamic Network Embedding in Hyperbolic Space via Self-attention. - Dingyang Duan; Daren Zha; Xiao Yang; Nan Mu; Jiahui Shen (ICWE, 2022)

IMDb30: A Multi-relational Knowledge Graph Dataset of IMDb Movies. - Wenying Feng 002; Daren Zha; Lei Wang 135; Xiaobo Guo (KSEM (1), 2022)

Dynamic Heterogeneous Information Network Embedding in Hyperbolic Space. - Dingyang Duan; Daren Zha; Xiao Yang; Xiaobo Guo (SEKE, 2022)

NP-LFA: Non-profiled Leakage Fingerprint Attacks against Improved Rotating S-box Masking Scheme. - Zeyi Liu 002; Weijuan Zhang; Ji Xiang; Daren Zha; Lei Wang 135 (Comput. J., 2022)

Blockchain-Based Certificate Transparency and Revocation Transparency. - Ze Wang; Jingqiang Lin 001; Quanwei Cai 001; Qiongxiao Wang; Daren Zha; Jiwu Jing (IEEE Trans. Dependable Secur. Comput., 2022)

RZSR Randomly Initialized Zero-Shot Method for Blind Super-Resolution. - Tianshu Fu; Guanqun Liu 002; Xin Wang 086; Daren Zha; Jiahui Shen (CSCWD, 2023)

RW-MMDCG: Muti-modal via Rolling-Window Directed Graph Network for Conversational Emotion Recognition. - Ruobing Wang; Daren Zha; Qingfei Zhao; Yuanye He; Xin Wang 086 (CSCWD, 2023)

Multi-view Spatial-Temporal Enhanced Hypergraph Network for Next POI Recommendation. - Yantong Lai; Yijun Su; Lingwei Wei; Gaode Chen; Tianci Wang; Daren Zha (DASFAA (2), 2023)

HAEE: Low-Resource Event Detection with Hierarchy-Aware Event Graph Embeddings. - Guoxuan Ding; Xiaobo Guo; Gaode Chen; Lei Wang 135; Daren Zha (ISWC, 2023)

Dynamic Scale-free Graph Embedding via Self-attention. - Dingyang Duan; Daren Zha; Xiao Yang; Jiahui Shen; Nan Mu (J. Web Eng., 2023)

Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations. - Bowen Shen; Zheng Lin 001; Daren Zha; Wei Liu 005; Jian Luan 001; Bin Wang 004; Weiping Wang 005 (ACL (Findings), 2024)

Dynamic Graph Embedding via Self-Attention in the Lorentz Space. - Dingyang Duan; Daren Zha; Zeyi Liu 002; Yu Chen (CSCWD, 2024)

LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering. - Qingfei Zhao; Ruobing Wang; Yukuo Cen; Daren Zha; Shicheng Tan; Yuxiao Dong; Jie Tang 001 (EMNLP, 2024)

Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation. - Yantong Lai; Yijun Su; Lingwei Wei; Tianci Wang; Daren Zha; Xin Wang 086 (ICASSP, 2024)

Exploiting Persona Perception for Diverse Generation from Limited Personalized Data. - Chenggong Zhang; Daren Zha; Lei Wang 135; Nan Mu; Fuyong Xu (ICIC (LNAI 6), 2024)

Disentangled Contrastive Hypergraph Learning for Next POI Recommendation. - Yantong Lai; Yijun Su; Lingwei Wei; Tianqi He; Haitao Wang; Gaode Chen; Daren Zha; Qiang Liu; Xingxing Wang (SIGIR, 2024)

Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented Generation. - Ruobing Wang; Daren Zha; Shi Yu 001; Qingfei Zhao; Yuxuan Chen; Yixuan Wang; Shuo Wang 013; Yukun Yan; Zhenghao Liu 001; Xu Han 007; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Towards Multi-Source Retrieval-Augmented Generation via Synergizing Reasoning and Preference-Driven Retrieval. - Qingfei Zhao; Ruobing Wang; Xin Wang 086; Daren Zha; Nan Mu (CoRR, 2024)

Fusion meets Function: The Adaptive Selection-Generation Approach in Event Argument Extraction. - Guoxuan Ding; Xiaobo Guo; Xin Wang; Lei Wang; Tianshu Fu; Nan Mu; Daren Zha (COLING, 2025)

Graph Representation Learning in Hyperbolic Space via Dual-Masked. - Rui Gong; Zuyun Jiang; Daren Zha (COLING, 2025)

A Diffusion Model over Directed Acyclic Graphs for Event Schema Generation. - Guoxuan Ding; Haotian Jin; Xiaobo Guo; Xin Wang; Nan Mu; Lei Wang; Daren Zha (ICASSP, 2025)

R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning. - Qingfei Zhao; Ruobing Wang; Dingling Xu; Daren Zha; Limin Liu (CoRR, 2025)