Qian Zhao

11 papers A* 2A 1B 1Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2026 B conf
CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training.
PPoPP
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
2025 A* conf
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts.
AAAI
Gong-Duo Zhang, Ruiqing Chen, Qian Zhao, Zhengwei Wu, Fengyu Han, Huan-Yi Su, Ziqi Liu, Lihong Gu, Lin Zhou
2025 J jnl
Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning.
CoRR
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
2025 J jnl
WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training.
CoRR
Changxin Tian, Jiapeng Wang, Qian Zhao, Kunlong Chen, Jia Liu, Ziqi Liu, Jiaxin Mao, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2024 A conf
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.
CIKM
Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu
2024 J jnl
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.
CoRR
Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu
2024 A* conf
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.
AAAI
Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou
2024 J jnl
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.
CoRR
Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou
2023 — conf
Long-Tail Augmented Graph Contrastive Learning for Recommendation.
ECML/PKDD (4)
Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
2023 J jnl
Long-tail Augmented Graph Contrastive Learning for Recommendation.
CoRR
Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
2022 J jnl
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022.
CoRR
Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi