Jie Zhang - RankMe

16 papers A* 2B 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Contextual Generative Auction with Permutation-level Externalities for Online Advertising. KDD (1) Ruitao Zhu, Yangsu Liu, Dagui Chen, Zhenjia Ma, Chufeng Shi, Zhenzhe Zheng, Jie Zhang, Jian Xu, Bo Zheng, Fan Wu
2025	A*	`conf`	Efficient Long Context Fine-tuning with Chunk Flow. ICML Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin
2025	J	`jnl`	Efficient Long Context Fine-tuning with Chunk Flow. CoRR Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin
2025	—	`conf`	Spindle: Efficient Distributed Training of Multi-Task Large Models via Wavefront Scheduling. ASPLOS (2) Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui
2025	B	`conf`	TAPAS: Fast and Automatic Derivation of Tensor Parallel Strategies for Large Neural Networks. ICPP Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Chencan Wu, Yong Li, Xiaokui Xiao, Wei Lin, Jialin Li
2024	J	`jnl`	BladeDISC++: Memory Optimizations Based On Symbolic Shape. CoRR Xiulong Yuan, Xu Yan, Wenting Shen, Xiafei Qiu, Ang Wang, Jie Zhang, Yong Li, Wei Lin
2024	J	`jnl`	Contextual Generative Auction with Permutation-level Externalities for Online Advertising. CoRR Ruitao Zhu, Yangsu Liu, Dagui Chen, Zhenjia Ma, Chufeng Shi, Zhenzhe Zheng, Jie Zhang, Jian Xu, Bo Zheng, Fan Wu
2024	J	`jnl`	Efficient Multi-Task Large Model Training via Data Heterogeneity-aware Model Management. CoRR Yujie Wang, Shenhan Zhu, Fangcheng Fu, Xupeng Miao, Jie Zhang, Juan Zhu, Fan Hong, Yong Li, Bin Cui
2023	J	`jnl`	TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation. CoRR Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Xianyan Jia, Yong Li, Chencan Wu, Jialin Li, Wei Lin
2022	A*	`conf`	PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. ICDE Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng
2022	J	`jnl`	PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. CoRR Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng
2022	—	`conf`	Whale: Efficient Giant Model Training over Heterogeneous GPUs. USENIX ATC Xianyan Jia, Le Jiang, Ang Wang, Wencong Xiao, Ziji Shi, Jie Zhang, Xinyuan Li, Langshi Chen, Yong Li, Zhen Zheng, Xiaoyong Liu, Wei Lin
2021	J	`jnl`	Exploring Sparse Expert Models and Beyond. CoRR An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining. CoRR Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang
2021	J	`jnl`	M6: A Chinese Multimodal Pretrainer. CoRR Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang
2020	J	`jnl`	Whale: A Unified Distributed Training Framework. CoRR Ang Wang, Xianyan Jia, Le Jiang, Jie Zhang, Yong Li, Wei Lin