Learning Network Representations with Neighboring Affinity. - Zhao Li 007; Jiaming Huang; Donghui Ding (ICDM Workshops, 2018)

Density Matrix Based Preference Evolution Networks for E-Commerce Recommendation. - Panpan Wang; Zhao Li 007; Xuming Pan; Donghui Ding; Xia Chen 004; Yuexian Hou (DASFAA (2), 2019)

Txilm: Lossy Block Compression with Salted Short Hashing. - Donghui Ding; Xin Jiang; Jiaping Wang; Hao Wang; Xiaobing Zhang; Yi Sun 004 (IACR Cryptol. ePrint Arch., 2019)

Recommendation on Heterogeneous Information Network with Type-Sensitive Sampling. - Jinze Bai; Jialin Wang; Zhao Li 007; Donghui Ding; Jiaming Huang; Pengrui Hui; Jun Gao 003; Ji Zhang 001; Zujie Ren (DASFAA (3), 2020)

Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors. - Zhao Li 007; Chenyi Lei; Pengcheng Zou; Donghui Ding; Shichang Hu; Zehong Hu; Shouling Ji; Jianliang Gao (DASFAA (1), 2020)

Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. - Zhao Li 007; Haobo Wang 001; Donghui Ding; Shichang Hu; Zhen Zhang 023; Weiwei Liu 003; Jianliang Gao; Zhiqiang Zhang 010; Ji Zhang 001 (Complex., 2020)

Distant Supervision for E-commerce Query Segmentation via Attention Network. - Zhao Li 007; Donghui Ding; Pengcheng Zou; Yu Gong; Xi Chen; Ji Zhang 001; Jianliang Gao; Youxi Wu; Yucong Duan (CoRR, 2020)

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. - Haishuai Wang; Zhao Li 007; Xuanwu Liu; Donghui Ding; Zehong Hu; Peng Zhang 001; Chuan Zhou 001; Jiajun Bu (CIKM, 2021)

TTNet: Tabular Transfer Network for Few-samples Prediction. - Zhao Li 007; Donghui Ding; Xuanwu Liu; Peng Zhang 001; Youxi Wu; Lingzhou Ma (WI/IAT, 2021)

ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases. - Jinze Bai; Jialin Wang; Zhao Li 007; Donghui Ding; Ji Zhang 001; Jun Gao 003 (WWW, 2021)

Lilac: Parallelizing Atomic Cross-Chain Swaps. - Donghui Ding; Bo Long; Feng Zhuo; Zhongcheng Li; Hanwen Zhang 001; Chen Tian 002; Yi Sun 004 (ISCC, 2022)

Anomaly Detection in Battery Charging Systems: A Deep Sequence Model Approach. - Li Zheng; Donghui Ding; Zhao Li 007; Jun Gao 003; Jie Xiao 005; Hongyang Chen; Schahram Dustdar; Ji Zhang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

EVRACE: Enhanced Visual Retrieval and Analysis for Large-Scale E-Bike Charging Curve Exploration. - Saisai Hu; Ji Zhang; Zhao Li; Donghui Ding; Dong Liu; Zhijun Pan; Jiale Dong (IEEE Big Data, 2024)

Dynamic Weighted Random Leader Node Election Algorithm for Blockchain. - Pengyao Zhang; Mingwei Wang; Feng Yang; Donghui Ding; Yichao Ma; Zichao Han; Jihua Zhou; Yi Sun (ICNSC, 2024)

RideSmart: Pre-trained Large Models for Delivery Route Planning. - Zhao Li 007; Yangbohan Jiao; Yuduo Shi; Donghui Ding; Jiacheng Wang; Jiarun Zhang; Haitao Xu 002 (WWW (Companion Volume), 2025)

eBaaS: AIoT-Enabled eBike Battery-Swap as a Service for Last-Mile Delivery. - Donghui Ding; Zhao Li 007; Jiarun Zhang; Xuanwu Liu; Ji Zhang 001; Yuchen Li 001; Peng Cai; JianXun Liu 001; Guodong Long (WWW, 2025)