Size Zheng - RankMe

40 papers A* 15A 3Journal 14Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MI-LLM: Multiplier-Free LLM Inference on Commodity Processing-in-Memory Hardware. IEEE Trans. Computers Puyun Hu, Minhui Xie, Linjiang Li, Kuiyaohui Zhang, Erge Xiang, Jing Wang, Size Zheng, Xiao Zhang, Yunpeng Chai
2026	A	`conf`	MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production. EuroSys Chao Jin, Ziheng Jiang, Zhihao Bai, Zheng Zhong, Juncai Liu, Xiang Li, Ningxin Zheng, Xi Wang, Cong Xie, Qi Huang, Wen Heng, Yiyuan Ma, Wenlei Bao, Size Zheng, Xuegui Zheng, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu
2026	—	`conf`	SwiftSpec: Disaggregated Speculative Decoding and Fused Kernels for Low-Latency LLM Inference. ASPLOS (2) Ziyi Zhang, Ziheng Jiang, Chengquan Jiang, Menghan Yu, Size Zheng, Haibin Lin, Xin Liu, Henry Hoffmann
2026	A*	`conf`	TENET-v2: Applying Relation-Centric Notation to Model and Optimize Data Swizzle in the Cache of Modern NPU. HPCA Hanyu Zhang, Fangxu Guo, Liqiang Lu, Long Wang, Yunfei Du, Zhe Wang, Jinghan Zhang, Jie Zhang, Chenli Xue, Chengpeng Wu, Ziyi Zhang, Yun Liang, Size Zheng, Jianwei Yin
2025	—	`conf`	COMET: Fine-grained Computation-communication Overlapping for Mixture-of-Experts. MLSys Shulai Zhang, Ningxin Zheng, Haibin Lin, Ziheng Jiang, Wenlei Bao, Chengquan Jiang, Qi Hou, Weihao Cui, Size Zheng, Li-Wen Chang, Quan Chen, Xin Liu
2025	J	`jnl`	Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts. CoRR Shulai Zhang, Ningxin Zheng, Haibin Lin, Ziheng Jiang, Wenlei Bao, Chengquan Jiang, Qi Hou, Weihao Cui, Size Zheng, Li-Wen Chang, Quan Chen, Xin Liu
2025	A*	`conf`	DyREM: Dynamically Mitigating Quantum Readout Error with Embedded Accelerator. DAC Kaiwen Zhou, Liqiang Lu, Hanyu Zhang, Debin Xiang, Chenning Tao, Xinkui Zhao, Size Zheng, Jianwei Yin
2025	J	`jnl`	MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production. CoRR Chao Jin, Ziheng Jiang, Zhihao Bai, Zheng Zhong, Juncai Liu, Xiang Li, Ningxin Zheng, Xi Wang, Cong Xie, Qi Huang, Wen Heng, Yiyuan Ma, Wenlei Bao, Size Zheng, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu
2025	J	`jnl`	MoQa: Rethinking MoE Quantization with Multi-stage Data-model Distribution Awareness. CoRR Zihao Zheng, Xiuping Cui, Size Zheng, Maoliang Li, Jiayu Chen, Yun (Eric) Liang, Xiang Chen
2025	A*	`conf`	MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design. ICML Haojie Duanmu, Xiuhong Li, Zhihang Yuan, Size Zheng, Jiangfei Duan, Xingcheng Zhang, Dahua Lin
2025	J	`jnl`	MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design. CoRR Haojie Duanmu, Xiuhong Li, Zhihang Yuan, Size Zheng, Jiangfei Duan, Xingcheng Zhang, Dahua Lin
2025	—	`conf`	QRAMsim: Efficiently Simulating, Analyzing, and Optimizing Large-Scale Quantum Random Access Memory. APPT Chenning Tao, Yujie Ji, Liqiang Lu, Size Zheng, Jianwei Yin
2025	A*	`conf`	Qtenon: Towards Low-Latency Architecture Integration for Accelerating Hybrid Quantum-Classical Computing. ISCA Chenning Tao, Liqiang Lu, Size Zheng, Li-Wen Chang, Minghua Shen, Hanyu Zhang, Fangxin Liu, Kaiwen Zhou, Jianwei Yin
2025	A*	`conf`	ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference. ICML Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen
2025	J	`jnl`	SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding. CoRR Ziyi Zhang, Ziheng Jiang, Chengquan Jiang, Menghan Yu, Size Zheng, Haibin Lin, Henry Hoffmann, Xin Liu
2025	—	`conf`	TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives. MLSys Size Zheng, Jin Fang, Xuegui Zheng, Qi Hou, Wenlei Bao, Ningxin Zheng, Ziheng Jiang, Dongyang Wang, Jianxi Ye, Haibin Lin, Li-Wen Chang, Xin Liu
2025	J	`jnl`	TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives. CoRR Size Zheng, Jin Fang, Xuegui Zheng, Qi Hou, Wenlei Bao, Ningxin Zheng, Ziheng Jiang, Dongyang Wang, Jianxi Ye, Haibin Lin, Li-Wen Chang, Xin Liu
2025	J	`jnl`	Triton-distributed: Programming Overlapping Kernels on Distributed AI Systems with the Triton Compiler. CoRR Size Zheng, Wenlei Bao, Qi Hou, Xuegui Zheng, Jin Fang, Chenhui Huang, Tianqi Li, Haojie Duanmu, Renze Chen, Ruifan Xu, Yifan Guo, Ningxin Zheng, Ziheng Jiang, Xinyi Di, Dongyang Wang, Jianxi Ye, Haibin Lin, Li-Wen Chang, Liqiang Lu, Yun Liang, Jidong Zhai, Xin Liu
2024	A*	`conf`	ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction. NeurIPS Renze Chen, Zhuofeng Wang, Beiquan Cao, Tong Wu, Size Zheng, Xiuhong Li, Xuechao Wei, Shengen Yan, Meng Li, Yun Liang
2024	—	`conf`	Atom: Low-Bit Quantization for Efficient and Accurate LLM Serving. MLSys Yilong Zhao, Chien-Yu Lin, Kan Zhu, Zihao Ye, Lequn Chen, Size Zheng, Luis Ceze, Arvind Krishnamurthy, Tianqi Chen, Baris Kasikci
2024	—	`conf`	MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN. ASPLOS (3) Renze Chen, Zijian Ding, Size Zheng, Chengrui Zhang, Jingwen Leng, Xuanzhe Liu, Yun Liang
2024	A*	`conf`	MoteNN: Memory Optimization via Fine-grained Scheduling for Deep Neural Networks on Tiny Devices. DAC Renze Chen, Zijian Ding, Size Zheng, Meng Li, Yun Liang
2024	J	`jnl`	Rubick: A Unified Infrastructure for Analyzing, Exploring, and Implementing Spatial Architectures via Dataflow Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Liqiang Lu, Zizhang Luo, Size Zheng, Jieming Yin, Jason Cong, Yun Liang, Jianwei Yin
2024	J	`jnl`	ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference. CoRR Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen
2024	A*	`conf`	SpREM: Exploiting Hamming Sparsity for Fast Quantum Readout Error Mitigation. DAC Hanyu Zhang, Liqiang Lu, Siwei Tan, Size Zheng, Jia Yu, Jianwei Yin
2024	—	`conf`	SpecPIM: Accelerating Speculative Inference on PIM-Enabled System via Architecture-Dataflow Co-Exploration. ASPLOS (3) Cong Li, Zhe Zhou, Size Zheng, Jiaxi Zhang, Yun Liang, Guangyu Sun
2024	—	`conf`	vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. MLSys Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang
2024	J	`jnl`	vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs. CoRR Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang
2023	A	`conf`	ARES: A Mapping Framework of DNNs Towards Diverse PIMs with General Abstractions. ICCAD Xiuping Cui, Size Zheng, Tianyu Jia, Le Ye, Yun Liang
2023	J	`jnl`	Atom: Low-bit Quantization for Efficient and Accurate LLM Serving. CoRR Yilong Zhao, Chien-Yu Lin, Kan Zhu, Zihao Ye, Lequn Chen, Size Zheng, Luis Ceze, Arvind Krishnamurthy, Tianqi Chen, Baris Kasikci
2023	A*	`conf`	Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion. HPCA Size Zheng, Siyuan Chen, Peidi Song, Renze Chen, Xiuhong Li, Shengen Yan, Dahua Lin, Jingwen Leng, Yun Liang
2023	A*	`conf`	Memory and Computation Coordinated Mapping of DNNs onto Complex Heterogeneous SoC. DAC Size Zheng, Siyuan Chen, Yun Liang
2023	A*	`conf`	Rubick: A Synthesis Framework for Spatial Architectures via Dataflow Decomposition. DAC Zizhang Luo, Liqiang Lu, Size Zheng, Jieming Yin, Jason Cong, Jianwei Yin, Yun Liang
2023	A*	`conf`	TileFlow: A Framework for Modeling Fusion Dataflow via Tree-based Analysis. MICRO Size Zheng, Siyuan Chen, Siyuan Gao, Liancheng Jia, Guangyu Sun, Runsheng Wang, Yun Liang
2022	A*	`conf`	AMOS: enabling automatic mapping for tensor computations on spatial accelerators with hardware abstraction. ISCA Size Zheng, Renze Chen, Anjiang Wei, Yicheng Jin, Qin Han, Liqiang Lu, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang
2022	J	`jnl`	NeoFlow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training. IEEE Trans. Parallel Distributed Syst. Size Zheng, Renze Chen, Yicheng Jin, Anjiang Wei, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang
2021	A*	`conf`	HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. ISCA Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
2021	J	`jnl`	HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation. CoRR Qingcheng Xiao, Size Zheng, Bingzhe Wu, Pengcheng Xu, Xuehai Qian, Yun Liang
2020	A*	`conf`	FlexTensor: An Automatic Schedule Exploration and Optimization Framework for Tensor Computation on Heterogeneous System. ASPLOS Size Zheng, Yun Liang, Shuo Wang, Renze Chen, Kaiwen Sheng
2020	A	`conf`	SuSy: A Programming Model for Productive Construction of High-Performance Systolic Arrays on FPGAs. ICCAD Yi-Hsiang Lai, Hongbo Rong, Size Zheng, Weihao Zhang, Xiuping Cui, Yunshan Jia, Jie Wang, Brendan Sullivan, Zhiru Zhang, Yun Liang, Youhui Zhang, Jason Cong, Nithin George, Jose Alvarez, Christopher J. Hughes, Pradeep Dubey