Zimeng Huang

According to our database, Zimeng Huang authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

NaiAD: Initiate Data-Driven Research for LLM Advertising.

Yihang Zhang, Zimeng Huang, Ren Zhai, Yipeng Kang, Tonghan Wang

CoRR, May, 2026

AMA-Bench: Evaluating Long-Horizon Memory for Agentic Applications.

Yujie Zhao, Boqin Yuan, Junbo Huang, Haocheng Yuan, Zhongming Yu, Haozhou Xu, Lanxiang Hu, Abhilash Shankarampeta, Zimeng Huang, Wentao Ni, Yuandong Tian, Jishen Zhao

CoRR, February, 2026

2025

MM-OPERA: Benchmarking Open-ended Association Reasoning for Large Vision-Language Models.

Zimeng Huang, Jinxin Ke, Xiaoxuan Fan, Yufeng Yang, Yang Liu, Liu Zhonghan, Zedi Wang, Junteng Dai, Haoyi Jiang, Yuyu Zhou, Keze Wang, Ziliang Chen

CoRR, October, 2025

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems.

Jusheng Zhang, Zimeng Huang, Yijia Fan, Ningyuan Liu, Mingyan Li, Zhuojie Yang, Jiawei Yao, Jian Wang, Keze Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

FlowCheck: Decoupling Checkpointing and Training of Large-Scale Models.

Zimeng Huang, Hao Nie, Haonan Jia, Bo Jiang, Junchen Guo, Jianyuan Lu, Rong Wen, Biao Lyu, Shunmin Zhu, Xinbing Wang

Proceedings of the Twentieth European Conference on Computer Systems, 2025

DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off.

Jusheng Zhang, Yijia Fan, Kaitong Cai, Zimeng Huang, Xiaofei Sun, Jian Wang, Chengpei Tang, Keze Wang

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

2024

Combining precursor and Cloud Leaky noisy-OR logic gate Bayesian network for dynamic probability analysis of major accidents in the oil depots.

Shuyi Xie, Zimeng Huang, Gang Wu, Jinheng Luo, Lifeng Li, Weifeng Ma, Bohong Wang

Reliab. Eng. Syst. Saf., January, 2024

2023

FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models.

Yunzhuo Liu, Bo Jiang, Tian Guo, Zimeng Huang, Wenhao Ma, Xinbing Wang, Chenghu Zhou

Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023

Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training.

Zimeng Huang, Bo Jiang, Tian Guo, Yunzhuo Liu

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

FPANet: Feature pyramid aggregation network for real-time semantic segmentation.

Yun Wu, Jianyong Jiang, Zimeng Huang, Youliang Tian

Appl. Intell., 2022

2021

A Semantic Segmentation Network Simulating the Ventral and Dorsal Pathways of the Cerebral Visual Cortex.

Yun Wu, Zimeng Huang, Huiyun Long, Guangqian Kong, Xun Duan, Jianyong Jiang

IEEE Access, 2021