Zexi Huang

According to our database, Zexi Huang authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

FLUID: From Ephemeral IDs to Multimodal Semantic Codes for Industrial-Scale Livestreaming Recommendation.

Xinhang Yuan, Zexi Huang, Anjia Cao, Xudong Lu, Zikai Wang, Penghao Zhou, Chang Liu, Wentao Guo, Qinglei Wang

CoRR, May, 2026

PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation.

Blake Gella, Wei Wu, Yuhao Yin, Zexi Huang, Zikai Wang, Emily Liu, Junlin Zhang, Wentao Guo, Qinglei Wang

CoRR, May, 2026

Zenith: Scaling up Ranking Models for Billion-scale Livestreaming Recommendation.

Ruifeng Zhang, Zexi Huang, Zikai Wang, Ke Sun, Bohang Zheng, Zhen Ouyang, Huimin Xie, Phil Shen, Junlin Zhang, Wentao Guo, Qinglei Wang

CoRR, January, 2026

2025

GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks.

Mert Kosan, Zexi Huang, Sourav Medya, Sayan Ranu, Ambuj Singh

ACM Trans. Intell. Syst. Technol., October, 2025

A novel radio resource allocation scheme for beam-hopping 6G satellite internet network based on graph mapping and generative adversarial network.

Wenliang Lin, Bohan Zhu, Minwei Liu, Ke Wang, Zhongliang Deng, Yicheng Liao, Yang Liu, Zexi Huang, Heng Kang, Yishan He, Shimin Zhong

ICT Express, 2025

Attribute-Enhanced Similarity Ranking for Sparse Link Prediction.

João Mattos, Zexi Huang, Mert Kosan, Ambuj K. Singh, Arlei Silva

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

State Space Reduction for Automated Manufacturing Systems With Unreliable Resources Using Partial Order Technique.

Zexi Huang, Lin Chen, Gaiyun Liu, Kamel Barkaoui

Proceedings of the 10th International Conference on Control, 2024

DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization.

Aritra Bhowmick, Mert Kosan, Zexi Huang, Ambuj K. Singh, Sourav Medya

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Stacking ensemble learning models for daily runoff prediction using 1D and 2D CNNs.

Yutong Xie, Wei Sun, Miaomiao Ren, Shu Chen, Zexi Huang, Xingyou Pan

Expert Syst. Appl., May, 2023

Learning Representations for Information-rich Graphs

Zexi Huang

PhD thesis, 2023

Link Prediction without Graph Neural Networks.

Zexi Huang, Mert Kosan, Arlei Silva, Ambuj K. Singh

CoRR, 2023

Global Counterfactual Explainer for Graph Neural Networks.

Zexi Huang, Mert Kosan, Sourav Medya, Sayan Ranu, Ambuj K. Singh

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

Graph Neural Diffusion Networks for Semi-supervised Learning.

Wei Ye, Zexi Huang, Yunqi Hong, Ambuj K. Singh

CoRR, 2022

POLE: Polarized Embedding for Signed Networks.

Zexi Huang, Arlei Silva, Ambuj K. Singh

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma.

Zexi Huang, Lihua Guo, Xin Yang, Sijuan Huang

CoRR, 2021

A Broader Picture of Random-walk Based Graph Embedding.

Zexi Huang, Arlei Silva, Ambuj K. Singh

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021