Zheng Wang - RankMe

18 papers A* 3A 1Journal 7Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ScaleSim: Serving Large-Scale Multi-Agent Simulation with Invocation Distance-Based Memory Management. CoRR Zaifeng Pan, Yipeng Shen, Zhengding Hu, Zhuang Wang, Aninda Manocha, Zheng Wang, Zhongkai Yu, Yue Guan, Yufei Ding
2025	—	`conf`	FastTree: Optimizing Attention Kernel and Runtime for Tree-Structured LLM Inference. MLSys Zaifeng Pan, Yitong Ding, Yue Guan, Zheng Wang, Zhongkai Yu, Xulong Tang, Yida Wang, Yufei Ding
2025	—	`conf`	GMI-DRL: Empowering Multi-GPU DRL with Adaptive-Grained Parallelism. USENIX ATC Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Tony Tong Geng, Ang Li, Yufei Ding
2025	A*	`conf`	WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training. OSDI Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, Yufei Ding
2025	J	`jnl`	WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training. CoRR Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, Yufei Ding
2025	J	`jnl`	Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding. CoRR Yue Guan, Changming Yu, Shihan Fang, Weiming Hu, Zaifeng Pan, Zheng Wang, Zihan Liu, Yangjie Zhou, Yufei Ding, Minyi Guo, Jingwen Leng
2024	—	`conf`	OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model. USENIX ATC Zheng Wang, Yuke Wang, Boyuan Feng, Guyue Huang, Dheevatsa Mudigere, Bharath Muthiah, Ang Li, Yufei Ding
2024	—	`conf`	RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing. ASPLOS (2) Zheng Wang, Yuke Wang, Jiaqi Deng, Da Zheng, Ang Li, Yufei Ding
2024	—	`conf`	ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference. ASPLOS (1) Boyuan Feng, Zheng Wang, Yuke Wang, Shu Yang, Yufei Ding
2023	A*	`conf`	ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification. ISCA Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie
2023	A*	`conf`	MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. OSDI Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2023	—	`conf`	TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs. USENIX ATC Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding
2022	A	`conf`	EL-Rec: Efficient Large-Scale Recommendation Model Training via Tensor-Train Embedding Table. SC Zheng Wang, Yuke Wang, Boyuan Feng, Dheevatsa Mudigere, Bharath Muthiah, Yufei Ding
2022	J	`jnl`	Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms. CoRR Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2022	—	`conf`	Faith: An Efficient Framework for Transformer Verification on GPUs. USENIX ATC Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding
2022	J	`jnl`	Faith: An Efficient Framework for Transformer Verification on GPUs. CoRR Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding
2022	J	`jnl`	GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing. CoRR Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Yufei Ding
2020	J	`jnl`	Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. CoRR Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding