WiFi fingerprint releasing for indoor localization based on differential privacy. - Yujia Zhu; Yu Wang; Qingyun Liu 001; Yang Liu 320; Peng Zhang 001 (PIMRC, 2017)

Tensor: A Transaction-Oriented Low-Latency and Reliable Data Distribution Scheme for Multi-IDCs Based on Redis. - Zhongyi Zhang; Chao Zheng 001; Wei Yang; Yang Liu 320; Rong Yang; Qingyun Liu 001 (HPCC/SmartCity/DSS, 2019)

Tear Off Your Disguise: Phishing Website Detection Using Visual and Network Identities. - Zhaoyu Zhou; Lingjing Yu; Qingyun Liu 001; Yang Liu 320; Bo Luo (ICICS, 2019)

SFDS: A Self-Feedback Detection System for DNS Hijacking Based on Multi-Protocol Cross Validation. - Caiyun Huang; Peng Zhang 001; Yong Sun; Yujia Zhu; Yang Liu 320 (ICT, 2019)

SAED: A Self-Adaptive Encryption and Decryption Architecture. - Youbing Zhong; Zhou Zhou 007; Da Li 002; Meijun Guo; Qingyun Liu 001; Yang Liu 320; Li Guo 001 (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Decision-focused Graph Neural Networks for Graph Learning and Optimization. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Shuai Zhang; Xiaoou Zhang; Zhao Li 007; Hongyang Chen (ICDM, 2023)

Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences. - Shuai Zhang; Chuan Zhou 001; Peng Zhang 001; Yang Liu 320; Zhao Li 007; Hongyang Chen (ICDM, 2023)

MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structured logic rules. - Huang Fang; Yang Liu 320; Yunfeng Cai; Mingming Sun 001 (WWW, 2023)

CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. - Yang Liu 320; Chuan Zhou 001; Shirui Pan; Jia Wu 001; Zhao Li 007; Hongyang Chen; Peng Zhang 001 (WWW, 2023)

MQuinE: a Cure for "Z-paradox" in Knowledge Graph Embedding. - Yang Liu 320; Huang Fang; Yunfeng Cai; Mingming Sun 001 (EMNLP, 2024)

Meta Structure Search for Link Weight Prediction in Heterogeneous Graphs. - Xiaoou Zhang; Yang Gao 024; Yang Liu 320; Yujia Zhu; Peng Zhang 001; Chuan Zhou 001; Qingyun Liu 001; Hongyang Chen (ICASSP, 2024)

CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Zhao Li 007; Shuai Zhang; Xixun Lin; Xindong Wu 001 (ICDM, 2024)

Neural Jump-Diffusion Temporal Point Processes. - Shuai Zhang; Chuan Zhou 001; Yang Aron Liu; Peng Zhang 001; Xixun Lin; Zhi-Ming Ma (ICML, 2024)

Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services. - Zhao Li 007; Yang Liu 320; Chuan Zhou 001; Xuanwu Liu; Xuming Pan; Buqing Cao; Xindong Wu 001 (ICWS, 2024)

Secure Causal Reasoning on Coarsened Graph for Privacy-aware Social Web Services. - Yang Liu 320; Chuan Zhou 001; Huang Fang; Peng Zhang 001; Yiling Pang; Qingzhao Zhang; Zhao Li 007; Hongyang Chen (ICWS, 2024)

MQuinE: a cure for "Z-paradox" in knowledge graph embedding models. - Yang Liu 320; Huang Fang; Yunfeng Cai; Mingming Sun 001 (CoRR, 2024)

Combinatorial Optimization with Automated Graph Neural Networks. - Yang Liu 320; Peng Zhang 001; Yang Gao 024; Chuan Zhou 001; Zhao Li 007; Hongyang Chen (CoRR, 2024)

Decision-focused Graph Neural Networks for Combinatorial Optimization. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Shirui Pan; Zhao Li 007; Hongyang Chen (CoRR, 2024)

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding. - Yang Liu 320; Chuan Zhou 001; Peng Zhang 001; Yanan Cao 001; Yongchao Liu; Zhao Li 007; Hongyang Chen (CoRR, 2024)

Deep Reinforcement Learning Based Data-Driven Mapping Mechanism of Digital Twin for Internet of Energy. - Siyu Xu; Xin Guan 003; Yu Peng 001; Yang Liu 320; Chen Cui; Hongyang Chen; Tomoaki Ohtsuki; Zhu Han 001 (IEEE Trans. Netw. Sci. Eng., 2024)

Node-Centric Meta Structure Search in Heterogeneous Graphs. - Xiaoou Zhang; Yang Gao 024; Yang Liu 320; Yujia Zhu; Chuan Zhou 001; Peng Zhang 001; Yong Ding; Qingyun Liu 001; Hongyang Chen (ICASSP, 2025)

Equivariant Hypergraph Diffusion for Crystal Structure Prediction. - Yang Liu 320; Chuan Zhou 001; Shuai Zhang; Peng Zhang 001; Xixun Lin; Shirui Pan (CoRR, 2025)

RHGNN: imposing relational inductive bias for heterogeneous graph neural network. - Shichao Zhu; Shuai Zhang; Yang Liu 320; Chuan Zhou 001; Shirui Pan; Zhao Li 007; Hongyang Chen (Int. J. Mach. Learn. Cybern., 2025)

Contrastive Modality-Disentangled Learning for Multimodal Recommendation. - Xixun Lin; Rui Liu 032; Yanan Cao 001; Lixin Zou; Qian Li 003; Yongxuan Wu; Yang Liu 320; Dawei Yin; Guandong Xu (ACM Trans. Inf. Syst., 2025)

OmniFluids: Unified Physics Pre-trained Modeling of Fluid Dynamics. - Rui Zhang 052; Qi Meng; Han Wan; Yang Liu 320; Zhi-Ming Ma; Hao Sun (CoRR, 2025)