Leilei Ding

According to our database, Leilei Ding authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

EvoDiagram: Agentic Editable Diagram Creation via Design Expertise Evolution.

Tianfu Wang, Leilei Ding, Ziyang Tao, Yi Zhan, Zhiyuan Ma, Wei Wu, Yuxuan Lei, Yuan Feng, Junyang Wang, Yin Wu, Yizhao Xu, Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Yanyong Zhang, Hui Xiong

CoRR, April, 2026

Environment-Aware Adaptive Pruning with Interleaved Inference Orchestration for Vision-Language-Action Models.

Yuting Huang, Leilei Ding, Zhipeng Tang, Zenghuan Zhu, Jiajun Deng, Xinrui Lin, Shuo Liu, Haojie Ren, Jianmin Ji, Yanyong Zhang

CoRR, February, 2026

RSCL: Adaptive meta-learning framework inspired by rough set theory and continual learning.

Leilei Ding, Shuliang Zhao

Inf. Sci., 2026

2025

Virne: A Comprehensive Benchmark for Deep RL-based Network Resource Allocation in NFV.

Tianfu Wang, Liwei Deng, Xi Chen, Junyang Wang, Huiguo He, Leilei Ding, Wei Wu, Qilin Fan, Hui Xiong

CoRR, July, 2025

A Framework for Benchmarking and Aligning Task-Planning Safety in LLM-Based Embodied Agents.

Yuting Huang, Leilei Ding, Zhipeng Tang, Tianfu Wang, Xinrui Lin, Wuyang Zhang, Mingxiao Ma, Yanyong Zhang

CoRR, April, 2025

Killing Two Birds with One Stone: A Spatio-temporal Prompt for the Inductive Traffic Extrapolation.

Leilei Ding, Zhipeng Tang, Le Zhang, Dazhong Shen, Chao Wang, Ziyang Tao, Jingbo Zhou, Yanyong Zhang, Hui Xiong

Proceedings of the Database Systems for Advanced Applications, 2025

2024

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives.

Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Hui Xiong, Yanyong Zhang

CoRR, 2024

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives.

Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation.

Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

EN-DADA: Node task assignment algorithm for energy harvesting wireless multimedia sensor networks.

Chong Han, Leilei Ding, Jian Guo, Lijuan Sun

IET Commun., December, 2023

A Node Task Assignment Algorithm for Energy Harvesting Wireless Multimedia Sensor Networks.

Chong Han, Leilei Ding, Lijuan Sun, Jian Guo

Proceedings of the IEEE International Conference on Communications, 2023

Unsupervised Anomaly Detection & Diagnosis: A Stein Variational Gradient Descent Approach.

Zhichao Chen, Leilei Ding, Jianmin Huang, Zhixuan Chu, Qingyang Dai, Hao Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data.

Zhichao Chen, Leilei Ding, Zhixuan Chu, Yucheng Qi, Jianmin Huang, Hao Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023