Jiezhong Qiu

According to our database, Jiezhong Qiu authored at least 44 papers between 2014 and 2024.

Collaborative distances:

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

2024

Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation.

Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang

ACM Trans. Inf. Syst., March, 2024

An Autonomous Large Language Model Agent for Chemical Literature Data Mining.

Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng-Ann Heng, Guangyong Chen

CoRR, 2024

Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment.

Fei Yang, Shuang Peng, Ning Sun, Fangyu Wang, Yuanyuan Wang, Fu Wu, Jiezhong Qiu, Aimin Pan

Proceedings of the 53rd International Conference on Parallel Processing, 2024

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems.

Bowen Wang, Chen Liang, Jiaze Wang, Jiezhong Qiu, Furui Liu, Shaogang Hao, Dong Li, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng

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

2023

Multi-task bioassay pre-training for protein-ligand binding affinity prediction.

Jiaxian Yan, Zhaofeng Ye, Ziyi Yang, Chengqiang Lu, Shengyu Zhang, Qi Liu, Jiezhong Qiu

Briefings Bioinform., November, 2023

SketchNE: Embedding Billion-Scale Networks Accurately in One Hour.

Yuyang Xie, Yuxiao Dong, Jiezhong Qiu, Wenjian Yu, Xu Feng, Jie Tang

IEEE Trans. Knowl. Data Eng., October, 2023

Towards Lightweight and Automated Representation Learning System for Networks.

Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang

IEEE Trans. Knowl. Data Eng., September, 2023

Improved the heterodimer protein complex prediction with protein language models.

Bo Chen, Ziwei Xie, Jiezhong Qiu, Zhaofeng Ye, Jinbo Xu, Jie Tang

Briefings Bioinform., July, 2023

TensorCircuit: a Quantum Software Framework for the NISQ Era.

Shi-Xin Zhang, Jonathan Allcock, Zhou-Quan Wan, Shuo Liu, Jiace Sun, Hao Yu, Xing-Han Yang, Jiezhong Qiu, Zhaofeng Ye, Yu-Qin Chen, Chee-Kong Lee, Yicong Zheng, Shao-Kai Jian, Hong Yao, Chang-Yu Hsieh, Shengyu Zhang

Quantum, February, 2023

Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment.

Fei Yang, Shuang Peng, Ning Sun, Fangyu Wang, Ke Tan, Fu Wu, Jiezhong Qiu, Aimin Pan

CoRR, 2023

Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis.

Kexin Chen, Junyou Li, Kunyi Wang, Yuyang Du, Jiahui Yu, Jiamin Lu, Lanqing Li, Jiezhong Qiu, Qun Fang, Pheng-Ann Heng, Guangyong Chen

CoRR, 2023

Multi-Constraint Molecular Generation using Sparsely Labelled Training Data for Localized High-Concentration Electrolyte Diluent Screening.

Jonathan P. Mailoa, Xin Li, Jiezhong Qiu, Shengyu Zhang

CoRR, 2023

Protein-Ligand Complex Generator & Drug Screening via Tiered Tensor Transform.

Jonathan P. Mailoa, Zhaofeng Ye, Jiezhong Qiu, Chang-Yu Hsieh, Shengyu Zhang

CoRR, 2023

Stable Prediction on Graphs with Agnostic Distribution Shifts.

Shengyu Zhang, Yunze Tong, Kun Kuang, Fuli Feng, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu

Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

2022

BaGuaLu: targeting brain scale pretrained models with over 37 million cores.

Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, Jianwei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, Wenguang Chen

Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries.

Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang

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

Approximating Element-Wise Functions of Matrix with Improved Streaming Randomized SVD.

Yuyang Xie, Xu Feng, Xizhi Zhang, Jiezhong Qiu, Wenjian Yu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

GLM: General Language Model Pretraining with Autoregressive Blank Infilling.

Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Learning Large-scale Network Embedding from Representative Subgraph.

Junsheng Kong, Weizhao Li, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Jinhui Zhu, Shengyu Zhang

CoRR, 2021

NetMF+: Network Embedding Based on Fast and Effective Single-Pass Randomized Matrix Factorization.

Yuyang Xie, Jiezhong Qiu, Wenjian Yu, Xu Feng, Yuxiang Chen, Jie Tang

CoRR, 2021

Stable Prediction on Graphs with Agnostic Distribution Shift.

Shengyu Zhang, Kun Kuang, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu

CoRR, 2021

Modeling Protein Using Large-scale Pretrain Language Model.

Yijia Xiao, Jiezhong Qiu, Ziang Li, Chang-Yu Hsieh, Jie Tang

CoRR, 2021

Pre-Trained Models: Past, Present and Future.

Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu

CoRR, 2021

FastMoE: A Fast Mixture-of-Expert Training System.

Jiaao He, Jiezhong Qiu, Aohan Zeng, Zhilin Yang, Jidong Zhai, Jie Tang

CoRR, 2021

All NLP Tasks Are Generation Tasks: A General Pretraining Framework.

Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang

CoRR, 2021

Pre-trained models: Past, present and future.

Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu

AI Open, 2021

LightNE: A Lightweight Graph Processing System for Network Embedding.

Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, Chi Wang

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Graph Representation Learning: Foundations, Methods, Applications and Systems.

Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu

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

The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021).

Ming Ding, Yuxiao Dong, Xiao Liu, Jiezhong Qiu, Jie Tang, Zhilin Yang

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

Fast Extraction of Word Embedding from Q-contexts.

Junsheng Kong, Weizhao Li, Zeyi Liu, Ben Liao, Jiezhong Qiu, Chang-Yu Hsieh, Yi Cai, Shengyu Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Concentration Bounds for Co-occurrence Matrices of Markov Chains.

Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang

CoRR, 2020

A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices.

Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training.

Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Blockwise Self-Attention for Long Document Understanding.

Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models.

Guangyong Chen, Pengfei Chen, Chang-Yu Hsieh, Chee-Kong Lee, Benben Liao, Renjie Liao, Weiwen Liu, Jiezhong Qiu, Qiming Sun, Jie Tang, Richard S. Zemel, Shengyu Zhang

CoRR, 2019

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization.

Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang

Proceedings of the World Wide Web Conference, 2019

2018

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec.

Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Engagement and Incentives in Online Community: Observational Data, Prediction Models, and Field Experiments.

Jiezhong Qiu

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

DeepInf: Social Influence Prediction with Deep Learning.

Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

Detecting Stress Based on Social Interactions in Social Networks.

Huijie Lin, Jia Jia, Jiezhong Qiu, Yongfeng Zhang, Guangyao Shen, Lexing Xie, Jie Tang, Ling Feng, Tat-Seng Chua

IEEE Trans. Knowl. Data Eng., 2017

2016

The Lifecycle and Cascade of WeChat Social Messaging Groups.

Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft

Proceedings of the 25th International Conference on World Wide Web, 2016

Modeling and Predicting Learning Behavior in MOOCs.

Jiezhong Qiu, Jie Tang, Tracy Xiao Liu, Jie Gong, Chenhui Zhang, Qian Zhang, Yufei Xue

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2015

The Lifecycle and Cascade of Social Messaging Groups.

Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft

CoRR, 2015

2014

Energy-traffic tradeoff cooperative offloading for mobile cloud computing.

Jian Song, Yong Cui, Minming Li, Jiezhong Qiu, Rajkumar Buyya

Proceedings of the IEEE 22nd International Symposium of Quality of Service, 2014