Yongliang Ding

According to our database, Yongliang Ding authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

STLGT: A Scalable Trace-Based Linear Graph Transformer for Tail Latency Prediction in Microservices.

Yongliang Ding, Qigong Bi, Peng Pu

CoRR, April, 2026

Compress-then-Rank: Faster and Better Listwise Reranking with Large Language Models via Ranking-Aware Passage Compression.

Zhewei Zhi, Yingyi Zhang, Yizhen Jing, Xianneng Li, Jianing Liu, Huajie Liu, Yongliang Ding

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Intent Based Knowledge Graph Aware Recommender System with Causal Inference.

Qigong Bi, Yun Yang, Yongliang Ding, Peng Pu

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Rank Aggregation in Crowdsourcing for Listwise Annotations.

Wenshui Luo, Haoyu Liu, Yongliang Ding, Tao Zhou, Sheng Wan, Runze Wu, Minmin Lin, Cong Zhang, Changjie Fan, Chen Gong

CoRR, 2024

2023

Class-Wise Denoising for Robust Learning Under Label Noise.

Chen Gong, Yongliang Ding, Bo Han, Gang Niu, Jian Yang, Jane You, Dacheng Tao, Masashi Sugiyama

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

2022

Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation.

Yongliang Ding, Tao Zhou, Chuang Zhang, Yijing Luo, Juan Tang, Chen Gong

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022