On the Prevention of Invalid Route Injection Attack. - Meng Li; Quanliang Jing; Zhongjiang Yao; Jingang Liu (IIP, 2014)

SERL: Semantic-Path Biased Representation Learning of Heterogeneous Information Network. - Haining Tan; Weiqiang Tang; Xinxin Fan; Quanliang Jing; Jingping Bi (KSEM (1), 2018)

TrajCross: Trajecotry Cross-Modal Retrieval with Contrastive Learning. - Quanliang Jing; Di Yao 001; Chang Gong 001; Xinxin Fan; Baoli Wang; Haining Tan; Jingping Bi (IEEE BigData, 2021)

TRANSFAKE: Multi-task Transformer for Multimodal Enhanced Fake News Detection. - Quanliang Jing; Di Yao 001; Xinxin Fan; Baoli Wang; Haining Tan; Xiangpeng Bu; Jingping Bi (IJCNN, 2021)

AdvCGAN: An Elastic and Covert Adversarial Examples Generating Framework. - Baoli Wang; Xinxin Fan; Quanliang Jing; Haining Tan; Jingping Bi (IJCNN, 2021)

Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation. - Haining Tan; Di Yao 001; Tao Huang; Baoli Wang; Quanliang Jing; Jingping Bi (MDM, 2021)

Decentralized Trust Management: Risk Analysis and Trust Aggregation. - Xinxin Fan; Ling Liu 001; Rui Zhang 016; Quanliang Jing; Jingping Bi (ACM Comput. Surv., 2021)

Can Adversarial Training benefit Trajectory Representation?: An Investigation on Robustness for Trajectory Similarity Computation. - Quanliang Jing; Shuo Liu; Xinxin Fan; Jingwei Li; Di Yao 001; Baoli Wang; Jingping Bi (CIKM, 2022)

GTAT: Adversarial Training with Generated Triplets. - Baoli Wang; Xinxin Fan; Quanliang Jing; Yueyang Su; Jingwei Li; Jingping Bi (IJCNN, 2022)

TAEffect: Quantifying interaction risks in trust-enabled communication systems. - Yunfeng Lu; Xinxin Fan; Quanliang Jing (Int. J. Commun. Syst., 2023)

CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection. - Wenbin Li 012; Di Yao 001; Chang Gong 001; Xiaokai Chu; Quanliang Jing; Xiaolei Zhou; Yuxuan Zhang; Yunxia Fan; Jingping Bi (ICDE, 2024)

GCSA: A New Adversarial Example-Generating Scheme Toward Black-Box Adversarial Attacks. - Xinxin Fan; Mengfan Li; Jia Zhou; Quanliang Jing; Chi Lin 001; Yunfeng Lu; Jingping Bi (IEEE Trans. Consumer Electron., 2024)

STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis. - Wenbin Li 012; Di Yao 001; Ruibo Zhao; Wenjie Chen; Zijie Xu 006; Chengxue Luo; Chang Gong 001; Quanliang Jing; Haining Tan; Jingping Bi (WWW (Companion Volume), 2025)

SifterNet: A Generalized and Model-Agnostic Trigger Purification Approach. - Shaoye Luo; Xinxin Fan; Quanliang Jing; Chi Lin 001; Mengfan Li; Yunfeng Lu; Yongjun Xu (CoRR, 2025)