Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data. - Zhichao Chen 001; Leilei Ding; Zhixuan Chu; Yucheng Qi; Jianmin Huang; Hao Wang 049 (CIKM, 2023)

Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach. - Zhichao Chen 001; Leilei Ding; Jianmin Huang; Zhixuan Chu; Qingyang Dai; Hao Wang 049 (CIKM, 2023)

A Node Task Assignment Algorithm for Energy Harvesting Wireless Multimedia Sensor Networks. - Chong Han 002; Leilei Ding; Lijuan Sun; Jian Guo 006 (ICC, 2023)

EN-DADA: Node task assignment algorithm for energy harvesting wireless multimedia sensor networks. - Chong Han 002; Leilei Ding; Jian Guo 006; Lijuan Sun (IET Commun., 2023)

FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. - Tianfu Wang 002; Qilin Fan; Chao Wang 086; Long Yang 004; Leilei Ding; Nicholas Jing Yuan; Hui Xiong 001 (IJCAI, 2024)

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. - Leilei Ding; Dazhong Shen; Chao Wang 086; Tianfu Wang 002; Le Zhang 010; Yanyong Zhang (IJCAI, 2024)

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. - Leilei Ding; Dazhong Shen; Chao Wang 086; Tianfu Wang 002; Le Zhang 010; Hui Xiong 001; Yanyong Zhang (CoRR, 2024)

A Framework for Benchmarking and Aligning Task-Planning Safety in LLM-Based Embodied Agents. - Yuting Huang; Leilei Ding; Zhipeng Tang; Tianfu Wang 002; Xinrui Lin; Wuyang Zhang; Mingxiao Ma; Yanyong Zhang (CoRR, 2025)

Virne: A Comprehensive Benchmark for Deep RL-based Network Resource Allocation in NFV. - Tianfu Wang 002; Liwei Deng 001; Xi Chen; Junyang Wang; Huiguo He; Leilei Ding; Wei Wu 045; Qilin Fan; Hui Xiong 001 (CoRR, 2025)