Qian Zhao

According to our database, Qian Zhao authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

PowLU: An Activation Function for Stable Pre-Training of LLMs.

Peijie Jiang, Yuqi Feng, Cunyin Peng, Qian Zhao, Jia Liu, Kunlong Chen, Zhiqiang Zhang, Jun Zhou

CoRR, May, 2026

CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training.

Yida Gu, Fakang Wang, Jianhao Fu, Zhenhang Sun, Qianyu Zhang, Hairui Zhao, Xingchen Liu, Yang Tian, Wenjing Huang, Zedong Liu, Yifan Chen, Jinwu Yang, Yueyuan Zhou, Qian Zhao, Haoxu Li, Tao Wang, Feng Yu, Zhan Wang, Guangming Tan, Dingwen Tao

Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

2025

Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning.

Ling Team, Bin Han, Caizhi Tang, Chen Liang, Donghao Zhang, Fan Yuan, Feng Zhu, Jie Gao, Jingyu Hu, Longfei Li, Meng Li, Mingyang Zhang, Peijie Jiang, Peng Jiao, Qian Zhao, Qingyuan Yang, Wenbo Shen, Xinxing Yang, Yalin Zhang, Yankun Ren, Yao Zhao, Yibo Cao, Yixuan Sun, Yue Zhang, Yuchen Fang, Zibin Lin, Zixuan Cheng, Jun Zhou

CoRR, October, 2025

WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training.

Changxin Tian, Jiapeng Wang, Qian Zhao, Kunlong Chen, Jia Liu, Ziqi Liu, Jiaxin Mao, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou

CoRR, July, 2025

Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts.

Gong-Duo Zhang, Ruiqing Chen, Qian Zhao, Zhengwei Wu, Fengyu Han, Huan-Yi Su, Ziqi Liu, Lihong Gu, Lin Zhou

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

2024

Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.

Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.

Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou

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

2023

Long-Tail Augmented Graph Contrastive Learning for Recommendation.

Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022.

Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi

CoRR, 2022