FeTaQA: Free-form Table Question Answering. - Linyong Nan; Chiachun Hsieh; Ziming Mao; Xi Victoria Lin; Neha Verma 001; Rui Zhang 037; Wojciech Kryscinski; Nick Schoelkopf; Riley Kong; Xiangru Tang; Murori Mutuma; Ben Rosand; et al. (CoRR, 2021)

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. - Xiangru Tang; Alexander R. Fabbri; Ziming Mao; Griffin Adams; Borui Wang; Haoran Li 007; Yashar Mehdad; Dragomir R. Radev (CoRR, 2021)

SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents. - Yusen Zhang 001; Ansong Ni; Ziming Mao; Chen Henry Wu; Chenguang Zhu 001; Budhaditya Deb; Ahmed Hassan Awadallah; Dragomir R. Radev; Rui Zhang 037 (ACL (1), 2022)

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. - Ziming Mao; Chen Henry Wu; Ansong Ni; Yusen Zhang 001; Rui Zhang 037; Tao Yu 009; Budhaditya Deb; Chenguang Zhu 001; Ahmed Hassan Awadallah; Dragomir R. Radev (ACL (1), 2022)

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. - Xiangru Tang; Alexander R. Fabbri; Haoran Li 007; Ziming Mao; Griffin Adams; Borui Wang; Asli Celikyilmaz; Yashar Mehdad; Dragomir R. Radev (NAACL-HLT, 2022)

FeTaQA: Free-form Table Question Answering. - Linyong Nan; Chiachun Hsieh; Ziming Mao; Xi Victoria Lin; Neha Verma 001; Rui Zhang 037; Wojciech Kryscinski; Hailey Schoelkopf; Riley Kong; Xiangru Tang; Mutethia Mutuma; Ben Rosand; et al. (Trans. Assoc. Comput. Linguistics, 2022)

GL-Cache: Group-level learning for efficient and high-performance caching. - Juncheng Yang; Ziming Mao; Yao Yue; K. V. Rashmi (FAST, 2023)

Trinity: A Fast Compressed Multi-attribute Data Store. - Ziming Mao; Kiran Srinivasan; Anurag Khandelwal (EuroSys, 2024)

Revisiting Cache Freshness for Emerging Real-Time Applications. - Ziming Mao; Rishabh R. Iyer; Scott Shenker; Ion Stoica (HotNets, 2024)

Can't Be Late: Optimizing Spot Instance Savings under Deadlines. - Zhanghao Wu; Wei-Lin Chiang; Ziming Mao; Zongheng Yang; Eric J. Friedman; Scott Shenker; Ion Stoica (NSDI, 2024)

EEG Based Generative Depression Discriminator. - Ziming Mao; Hao Wu; Yongxi Tan; Yuhe Jin (CoRR, 2024)

Pie: Pooling CPU Memory for LLM Inference. - Yi Xu; Ziming Mao; Xiangxi Mo; Shu Liu; Ion Stoica (CoRR, 2024)

CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex. - Guoyuan Yang; Mufan Xue; Ziming Mao; Haofang Zheng; Jia Xu; Dabin Sheng; Ruotian Sun; Ruoqi Yang; Xuesong Li (AAAI, 2025)

SkyServe: Serving AI Models across Regions and Clouds with Spot Instances. - Ziming Mao; Tian Xia; Zhanghao Wu; Wei-Lin Chiang; Tyler Griggs; Romil Bhardwaj; Zongheng Yang; Scott Shenker; Ion Stoica (EuroSys, 2025)

The Streaming Batch Model for Efficient and Fault-Tolerant Heterogeneous Execution. - Frank Sifei Luan; Ziming Mao; Ron Yifeng Wang; Charlotte Lin; Amog Kamsetty; Hao Chen; Cheng Su; Balaji Veeramani; Scott Lee; SangBin Cho; Clark Zinzow; Eric Liang; et al. (CoRR, 2025)

Locality-aware Fair Scheduling in LLM Serving. - Shiyi Cao; Yichuan Wang; Ziming Mao; Pin-Lun Hsu; Liangsheng Yin; Tian Xia; Dacheng Li; Shu Liu; Yineng Zhang; Yang Zhou; Ying Sheng 007; Joseph Gonzalez 001; et al. (CoRR, 2025)

An Extensible Software Transport Layer for GPU Networking. - Yang Zhou; Zhongjie Chen; Ziming Mao; ChonLam Lao; Shuo Yang; Pravein Govindan Kannan; Jiaqi Gao; Yilong Zhao; Yongji Wu; Kaichao You; Fengyuan Ren; Zhiying Xu; et al. (CoRR, 2025)

SkyLB: A Locality-Aware Cross-Region Load Balancer for LLM Inference. - Tian Xia; Ziming Mao; Jamison Kerney; Ethan J. Jackson; Zhifei Li; Jiarong Xing; Scott Shenker; Ion Stoica (CoRR, 2025)

LEANN: A Low-Storage Vector Index. - Yichuan Wang; Shu Liu; Zhifei Li; Yongji Wu; Ziming Mao; Yilong Zhao; Xiao Yan; Zhiying Xu; Yang Zhou; Ion Stoica; Sewon Min; Matei Zaharia; et al. (CoRR, 2025)

Sparse Autoencoders Bridge The Deep Learning Model and The Brain. - Ziming Mao; Jia Xu; Zeqi Zheng; Haofang Zheng; Dabing Sheng; Yaochu Jin; Guoyuan Yang (CoRR, 2025)