Fast Barriers for Scalable ccNUMA Systems. - Liqun Cheng; John B. Carter (ICPP, 2005)

Fast synchronization on shared-memory multiprocessors: An architectural approach. - Zhen Fang 002; Lixin Zhang 002; John B. Carter; Liqun Cheng; Michael A. Parker (J. Parallel Distributed Comput., 2005)

Interconnect-Aware Coherence Protocols for Chip Multiprocessors. - Liqun Cheng; Naveen Muralimanohar; Karthik Ramani; Rajeev Balasubramonian; John B. Carter (ISCA, 2006)

Leveraging Wire Properties at the Microarchitecture Level. - Rajeev Balasubramonian; Naveen Muralimanohar; Karthik Ramani; Liqun Cheng; John B. Carter (IEEE Micro, 2006)

An Adaptive Cache Coherence Protocol Optimized for Producer-Consumer Sharing. - Liqun Cheng; John B. Carter; Donglai Dai (HPCA, 2007)

Context-Aware Coherence Protocols for Future Processors. - Liqun Cheng (2007)

Extending CC-NUMA systems to support write update optimizations. - Liqun Cheng; John B. Carter (SC, 2008)

NCID: a non-inclusive cache, inclusive directory architecture for flexible and efficient cache hierarchies. - Li Zhao 002; Ravi R. Iyer 001; Srihari Makineni; Don Newell; Liqun Cheng (Conf. Computing Frontiers, 2010)

Towards energy proportionality for large-scale latency-critical workloads. - David Lo 003; Liqun Cheng; Rama Govindaraju; Luiz André Barroso; Christos Kozyrakis (ISCA, 2014)

Heracles: improving resource efficiency at scale. - David Lo 003; Liqun Cheng; Rama K. Govindaraju; Parthasarathy Ranganathan; Christos Kozyrakis (ISCA, 2015)

Improving Resource Efficiency at Scale with Heracles. - David Lo 003; Liqun Cheng; Rama K. Govindaraju; Parthasarathy Ranganathan; Christos Kozyrakis (ACM Trans. Comput. Syst., 2016)

WSMeter: A Performance Evaluation Methodology for Google's Production Warehouse-Scale Computers. - Jaewon Lee; Changkyu Kim; Kun Lin; Liqun Cheng; Rama Govindaraju; Jangwoo Kim (ASPLOS, 2018)

Kelp: QoS for Accelerated Machine Learning Systems. - Haishan Zhu; David Lo 003; Liqun Cheng; Rama K. Govindaraju; Parthasarathy Ranganathan; Mattan Erez (HPCA, 2019)

Gaussian-Process-Based Dynamic Embedding for Textual Networks. - Pengyu Cheng; Yitong Li 001; Xinyuan Zhang 001; Liqun Cheng; David E. Carlson; Lawrence Carin (CoRR, 2019)

Autonomous Warehouse-Scale Computers. - Sundar Dev; David Lo 003; Liqun Cheng; Parthasarathy Ranganathan (DAC, 2020)

Research on public opinion reversal phenomenon of network mass events modelling and simulation. - Liqun Cheng; Yanan Liu (Int. J. Wirel. Mob. Comput., 2020)

Searching for Fast Model Families on Datacenter Accelerators. - Sheng Li 007; Mingxing Tan; Ruoming Pang; Andrew Li; Liqun Cheng; Quoc V. Le; Norman P. Jouppi (CVPR, 2021)

Hyperscale Hardware Optimized Neural Architecture Search. - Sheng Li 007; Garrett Andersen; Tao Chen 003; Liqun Cheng; Julian Grady; Da Huang; Quoc V. Le; Andrew Li; Xin Li 082; Yang Li 005; Chen Liang; Yifeng Lu; et al. (ASPLOS (3), 2023)

TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. - Cheng Fu 002; Hanxian Huang; Zixuan Jiang; Yun Ni; Lifeng Nai; Gang Wu; Liqun Cheng; Yanqi Zhou; Sheng Li 007; Andrew Li; Jishen Zhao (ICCV, 2023)

A Finite-Time Sliding-Mode Controller Based on the Disturbance Observer and Neural Network for Hysteretic Systems with Application in Piezoelectric Actuators. - Liqun Cheng; Wanzhong Chen; Liguo Tian; Ying Xie (Sensors, 2023)

FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search. - Jordan Dotzel; Gang Wu; Andrew Li; Muhammad Umar 002; Yun Ni; Mohamed S. Abdelfattah; Zhiru Zhang; Liqun Cheng; Martin G. Dixon; Norman P. Jouppi; Quoc V. Le; Sheng Li 007 (AutoML, 2024)

Preventing Network Bottlenecks: Accelerating Datacenter Services with Hotspot-Aware Placement for Compute and Storage. - Hamid Hajabdolali Bazzaz; Yingjie Bi; Weiwu Pang; Minlan Yu; Ramesh Govindan; Neal Cardwell; Nandita Dukkipati; Meng-Jung Tsai; Chris DeForeest; Yuxue Jin; Charles J. Carver; Jan Kopanski; et al. (NSDI, 2025)