Modeling of Photoelectric Micro-Power Supply for Wireless Sensor Nodes. - Yongtai He; Yanqiu Li; Lihui Liu; Lei Wang (Int. J. Wirel. Inf. Networks, 2011)

Design of solar photovoltaic micro-power supply for application of wireless sensor nodes in complex illumination environments. - Yongtai He; Lihui Liu; Yanqiu Li (IET Wirel. Sens. Syst., 2012)

Mechanism of Electrochemical Delamination of Two-Dimensional Materials from Their Native Substrates by Bubbling. - Jie Sun 012; Xing Fan; Weiling Guo; Lihui Liu; Xin Liu; Jun Deng; Chen Xu (Sensors, 2015)

BRPS: A Big Data Placement Strategy for Data Intensive Applications. - Lihui Liu; Junping Song; Haibo Wang; Pin Lv (ICDM Workshops, 2016)

A group based genetic algorithm data replica placement strategy for scientific workflow. - Lihui Liu; Ying Yang; Haibo Wang; Zhifei Tan; Chen Li (ICIS, 2017)

Increasing the availability of multi-object tasks on multi-region distributed system. - Lihui Liu; Junping Song; Haibo Wang; Pin Lv (CSCWD, 2017)

G-Finder: Approximate Attributed Subgraph Matching. - Lihui Liu; Boxin Du; Jiejun Xu; Hanghang Tong (IEEE BigData, 2019)

Inferring Missing Attributes of Users in Large-Scale Social networks. - Huadeng Wang; Songhua Xu; Lihui Liu; Xiaonan Luo (ICACI, 2019)

CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. - Shane Roach; Connie Ni; Alexei Kopylov; Tsai-Ching Lu; Jiejun Xu; Si Zhang; Boxin Du; Dawei Zhou 003; Jun Wu 019; Lihui Liu; Yuchen Yan; Jingrui He; et al. (IEEE BigData, 2020)

KompaRe: A Knowledge Graph Comparative Reasoning System. - Lihui Liu; Boxin Du; Heng Ji 001; Hanghang Tong (CoRR, 2020)

Dynamic Knowledge Graph Alignment. - Yuchen Yan; Lihui Liu; Yikun Ban; Baoyu Jing; Hanghang Tong (AAAI, 2021)

Sylvester Tensor Equation for Multi-Way Association. - Boxin Du; Lihui Liu; Hanghang Tong (KDD, 2021)

KompaRe: A Knowledge Graph Comparative Reasoning System. - Lihui Liu; Boxin Du; Yi Ren Fung 001; Heng Ji 001; Jiejun Xu; Hanghang Tong (KDD, 2021)

Neural-Answering Logical Queries on Knowledge Graphs. - Lihui Liu; Boxin Du; Heng Ji 001; ChengXiang Zhai; Hanghang Tong (KDD, 2021)

A Method for Quantifying the Impacts of Human Activities on Net Primary Production of Grasslands in Northwest China. - Chuanhua Li; Tianbao Dou; Yutao Wang; Tongbin Zhu; Huanhuan Yin; Min Zhou; Lihui Liu; Xiaodong Wu (Remote. Sens., 2021)

Comparative Reasoning for Knowledge Graph Fact Checking. - Lihui Liu; Houxiang Ji; Jiejun Xu; Hanghang Tong (IEEE Big Data, 2022)

ABM: Attention-based Message Passing Network for Knowledge Graph Completion. - Weikai Xu; Lihui Liu; Hanghang Tong (IEEE Big Data, 2022)

Joint Knowledge Graph Completion and Question Answering. - Lihui Liu; Boxin Du; Jiejun Xu; Yinglong Xia; Hanghang Tong (KDD, 2022)

Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms. - Lihui Liu; Ruining Zhao; Boxin Du; Yi Ren Fung 001; Heng Ji 001; Jiejun Xu; Hanghang Tong (IEEE Data Eng. Bull., 2022)

SIF-Based GPP Is a Useful Index for Assessing Impacts of Drought on Vegetation: An Example of a Mega-Drought in Yunnan Province, China. - Chuanhua Li; Lixiao Peng; Min Zhou; Yufei Wei; Lihui Liu; Liangliang Li; Yunfan Liu 005; Tianbao Dou; Jiahao Chen; Xiaodong Wu (Remote. Sens., 2022)

Investigation of Atmospheric Dynamic and Thermodynamic Structures of Typhoon Sinlaku (2020) from High-Resolution Dropsonde and Two-Way Rawinsonde Measurements. - Lihui Liu; Yi Han; Yuancai Xia; Qiyun Guo; Wenhua Gao; Jianping Guo (Remote. Sens., 2022)

WSN node access authentication protocol based on trusted computing. - Jing Liu 028; Lihui Liu; Zenghui Liu; Yingxu Lai; Hua Qin; Shiyao Luo (Simul. Model. Pract. Theory, 2022)

Knowledge Graph Reasoning and Its Applications. - Lihui Liu; Hanghang Tong (KDD, 2023)

Reconciling Competing Sampling Strategies of Network Embedding. - Yuchen Yan; Baoyu Jing; Lihui Liu; Ruijie Wang 004; Jinning Li 001; Tarek F. Abdelzaher; Hanghang Tong (NeurIPS, 2023)

Signcryption-Based Encrypted Traffic Detection Scheme for Fast Establishing Secure Connections. - Hao Zhu; Fagen Li; Lihui Liu; Yong Zeng 002; Xiaoli Li; Jianfeng Ma 001 (ProvSec, 2023)

Knowledge Graph Question Answering with Ambiguous Query. - Lihui Liu; Yuzhong Chen; Mahashweta Das; Hao Yang 007; Hanghang Tong (WWW, 2023)

Neural Multi-network Diffusion towards Social Recommendation. - Boxin Du; Lihui Liu; Jiejun Xu; Fei Wang 065; Hanghang Tong (CoRR, 2023)

Conversational Question Answering with Reformulations over Knowledge Graph. - Lihui Liu; Blaine Hill; Boxin Du; Fei Wang 065; Hanghang Tong (CoRR, 2023)

Investigation of Turbulent Dissipation Rate Profiles from Two Radar Wind Profilers at Plateau and Plain Stations in the North China Plain. - Rongfang Yang; Jianping Guo; Weilong Deng; Ning Li; Junhong Fan; Deli Meng; Zheng Liu; Yuping Sun; Guanglei Zhang; Lihui Liu (Remote. Sens., 2023)

Physics-informed neural networks for solving forward and inverse Vlasov-Poisson equation via fully kinetic simulation. - Baiyi Zhang; Guobiao Cai; Huiyan Weng; Weizong Wang; Lihui Liu; Bijiao He (Mach. Learn. Sci. Technol., 2023)

Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph. - Lihui Liu; Blaine Hill; Boxin Du; Fei Wang 001; Hanghang Tong (ACL (Findings), 2024)

Can Contrastive Learning Refine Embeddings. - Lihui Liu; Jinha Kim; Vidit Bansal (ESWC (1), 2024)

Meta Clustering of Neural Bandits. - Yikun Ban; Yunzhe Qi; Tianxin Wei; Lihui Liu; Jingrui He (KDD, 2024)

Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform. - Blaine Hill; Lihui Liu; Hanghang Tong (WSDM, 2024)

New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends. - Lihui Liu; Zihao Wang 001; Jiaxin Bai; Yangqiu Song; Hanghang Tong (WWW (Companion Volume), 2024)

PaCEr: Network Embedding From Positional to Structural. - Yuchen Yan; Yongyi Hu; Qinghai Zhou; Lihui Liu; Zhichen Zeng 001; Yuzhong Chen; Menghai Pan; Huiyuan Chen; Mahashweta Das; Hanghang Tong (WWW, 2024)

Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. - Lihui Liu; Zihao Wang 001; Ruizhong Qiu; Yikun Ban; Eunice Chan; Yangqiu Song; Jingrui He; Hanghang Tong (CoRR, 2024)

PyG-SSL: A Graph Self-Supervised Learning Toolkit. - Lecheng Zheng; Baoyu Jing; Zihao Li 006; Zhichen Zeng 001; Tianxin Wei; Mengting Ai; Xinrui He; Lihui Liu; Dongqi Fu; Jiaxuan You; Hanghang Tong; Jingrui He (CoRR, 2024)

TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges. - Ruizhong Qiu; Jun-Gi Jang; Xiao Lin; Lihui Liu; Hanghang Tong (Proc. VLDB Endow., 2024)

TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion. - Lihui Liu; Zihao Wang 001; Dawei Zhou 003; Ruijie Wang 004; Yuchen Yan; Bo Xiong; Sihong He; Kai Shu; Hanghang Tong (CoRR, 2025)

EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network. - Weijie Guan; Haohui Wang; Jian Kang 008; Lihui Liu; Dawei Zhou 003 (CoRR, 2025)

Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective. - Lihui Liu; Zihao Wang 001; Hanghang Tong (SIGKDD Explor., 2025)