Zeang Sheng

According to our database, Zeang Sheng authored at least 18 papers between 2021 and 2026.

Collaborative distances:

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

2026

TraceAV-Bench: Benchmarking Multi-Hop Trajectory Reasoning over Long Audio-Visual Videos.

Hengyi Feng, Hao Liang, Mingrui Chen, Bohan Zeng, Meiyi Qiang, Zhengyang Zhao, Zimo Meng, Zeang Sheng, Wentao Zhang

CoRR, May, 2026

One-Eval: An Agentic System for Automated and Traceable LLM Evaluation.

Chengyu Shen, Yanheng Hou, Minghui Pan, Runming He, Zhen Hao Wong, Meiyi Qiang, Zhou Liu, Hao Liang, Peichao Lai, Zeang Sheng, Wentao Zhang

CoRR, March, 2026

2025

Generative Giants, Retrieval Weaklings: Why do Multimodal Large Language Models Fail at Multimodal Retrieval?

Hengyi Feng, Zeang Sheng, Meiyi Qiang, Wentao Zhang

CoRR, December, 2025

Acceleration Algorithms in GNNs: A Survey.

Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Xiaonan Nie, Jiawei Jiang, Wentao Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., June, 2025

LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification.

Zeang Sheng, Weiyang Guo, Yingxia Shao, Wentao Zhang, Bin Cui

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Can LLMs be Good Graph Judge for Knowledge Graph Construction?

Haoyu Huang, Chong Chen, Zeang Sheng, Yang Li, Wentao Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Towards Scalable and Deep Graph Neural Networks via Noise Masking.

Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Quanqing Xu, Jiawei Jiang, Yunhai Tong, Bin Cui

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

OUTRE: An OUT-of-core De-REdundancy GNN Training Framework for Massive Graphs within A Single Machine.

Zeang Sheng, Wentao Zhang, Yangyu Tao, Bin Cui

Proc. VLDB Endow., July, 2024

Acceleration Algorithms in GNNs: A Survey.

Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui

CoRR, 2024

HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism.

Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Graph-Enforced Neural Network for Attributed Graph Clustering.

Zeang Sheng, Wentao Zhang, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

Graph Attention Multi-Layer Perceptron.

Wentao Zhang, Ziqi Yin, Zeang Sheng, Yang Li, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Model Degradation Hinders Deep Graph Neural Networks.

Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning.

Wentao Zhang, Zeang Sheng, Mingyu Yang, Yang Li, Yu Shen, Zhi Yang, Bin Cui

Proceedings of the International Conference on Machine Learning, 2022

2021

Graph Attention Multi-Layer Perceptron.

Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui

CoRR, 2021

Evaluating Deep Graph Neural Networks.

Wentao Zhang, Zeang Sheng, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui

CoRR, 2021

Node Dependent Local Smoothing for Scalable Graph Learning.

Wentao Zhang, Mingyu Yang, Zeang Sheng, Yang Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ROD: Reception-aware Online Distillation for Sparse Graphs.

Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui

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