Deployment of a Large-scale Peer-to-Peer Social Network. - Mao Yang 004; Hua Chen; Ben Y. Zhao; Yafei Dai; Zheng Zhang 001 (WORLDS, 2004)

An Empirical Study of Free-Riding Behavior in the Maze P2P File-Sharing System. - Mao Yang 004; Zheng Zhang 001; Xiaoming Li 001; Yafei Dai (IPTPS, 2005)

Bring Reputation System to Social Network in the Maze P2P File-Sharing System. - Mao Yang 004; Yafei Dai; Xiaoming Li 001 (CTS, 2006)

An Empirical Study of Collusion Behavior in the Maze P2P File-Sharing System. - Qiao Lian; Zheng Zhang 001; Mao Yang 004; Ben Y. Zhao; Yafei Dai; Xiaoming Li 001 (ICDCS, 2007)

A Multi-dimensional Reputation System Combined with Trust and Incentive Mechanisms in P2P File Sharing Systems. - Mao Yang 004; Qinyuan Feng; Yafei Dai; Zheng Zhang 001 (ICDCS Workshops, 2007)

Robust incentives via multi-level Tit-for-Tat. - Qiao Lian; Yu Peng; Mao Yang 004; Zheng Zhang 001; Yafei Dai; Xiaoming Li 001 (Concurr. Comput. Pract. Exp., 2008)

Wave Computing in the Cloud. - Bingsheng He; Mao Yang 004; Zhenyu Guo; Rishan Chen; Wei Lin 016; Bing Su; Hongyi Wang; Lidong Zhou (HotOS, 2009)

MODIST: Transparent Model Checking of Unmodified Distributed Systems. - Junfeng Yang; Tisheng Chen; Ming Wu 007; Zhilei Xu; Xuezheng Liu; Haoxiang Lin; Mao Yang 004; Fan Long; Lintao Zhang; Lidong Zhou (NSDI, 2009)

FiLM: A Runtime Monitoring Tool for Distributed Systems. - Fuyuan Zhang; Zhengwei Qi; Haibing Guan; Xuezheng Liu; Mao Yang 004; Zheng Zhang 001 (SSIRI, 2009)

Comet: batched stream processing for data intensive distributed computing. - Bingsheng He; Mao Yang 004; Zhenyu Guo; Rishan Chen; Bing Su; Wei Lin 016; Lidong Zhou (SoCC, 2010)

Large graph processing in the cloud. - Rishan Chen; Xuetian Weng; Bingsheng He; Mao Yang 004 (SIGMOD Conference, 2010)

G2: A Graph Processing System for Diagnosing Distributed Systems. - Zhenyu Guo; Dong Zhou 006; Haoxiang Lin; Mao Yang 004; Fan Long; Chaoqiang Deng; Changshu Liu; Lidong Zhou (USENIX ATC, 2011)

Improving large graph processing on partitioned graphs in the cloud. - Rishan Chen; Mao Yang 004; Xuetian Weng; Byron Choi; Bingsheng He; Xiaoming Li 001 (SoCC, 2012)

Failure Recovery: When the Cure Is Worse Than the Disease. - Zhenyu Guo; Sean McDirmid; Mao Yang 004; Li Zhuang; Pu Zhang; Yingwei Luo; Tom Bergan; Madan Musuvathi; Zheng Zhang 001; Lidong Zhou (HotOS, 2013)

KuaFu: Closing the parallelism gap in database replication. - Chuntao Hong; Dong Zhou 006; Mao Yang 004; Carbo Kuo; Lintao Zhang; Lidong Zhou (ICDE, 2013)

Network Performance Aware Graph Partitioning for Large Graph Processing Systems in the Cloud. - Rishan Chen; Xuetian Weng; Bingsheng He; Byron Choi; Mao Yang 004 (Large Scale and Big Data, 2014)

Rex: replication at the speed of multi-core. - Zhenyu Guo; Chuntao Hong; Mao Yang 004; Dong Zhou 006; Lidong Zhou; Li Zhuang (EuroSys, 2014)

Time-Series Anomaly Detection Service at Microsoft. - Hansheng Ren; Bixiong Xu; Yujing Wang; Chao Yi; Congrui Huang; Xiaoyu Kou; Tony Xing; Mao Yang 004; Jie Tong; Qi Zhang 066 (KDD, 2019)

The Case for Learning-and-System Co-design. - Chieh-Jan Mike Liang; Hui Xue 004; Mao Yang 004; Lidong Zhou (ACM SIGOPS Oper. Syst. Rev., 2019)

TextNAS: A Neural Architecture Search Space Tailored for Text Representation. - Yujing Wang; Yaming Yang 001; Yiren Chen; Jing Bai 010; Ce Zhang 001; Guinan Su; Xiaoyu Kou; Yunhai Tong; Mao Yang 004; Lidong Zhou (AAAI, 2020)

An empirical study on program failures of deep learning jobs. - Ru Zhang; Wencong Xiao; Hongyu Zhang 002; Yu Liu; Haoxiang Lin; Mao Yang 004 (ICSE, 2020)

Retiarii: A Deep Learning Exploratory-Training Framework. - Quanlu Zhang; Zhenhua Han; Fan Yang 024; Yuge Zhang; Zhe Liu; Mao Yang 004; Lidong Zhou (OSDI, 2020)

HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees. - Hanyu Zhao; Zhenhua Han; Zhi Yang 001; Quanlu Zhang; Fan Yang 024; Lidong Zhou; Mao Yang 004; Francis C. M. Lau 001; Yuqi Wang; Yifan Xiong 001; Bin Wang (OSDI, 2020)

Estimating GPU memory consumption of deep learning models. - Yanjie Gao; Yu Liu; Hongyu Zhang 002; Zhengxian Li; Yonghao Zhu; Haoxiang Lin; Mao Yang 004 (ESEC/SIGSOFT FSE, 2020)

Enhancing the interoperability between deep learning frameworks by model conversion. - Yu Liu; Cheng Chen; Ru Zhang; Tingting Qin; Xiang Ji; Haoxiang Lin; Mao Yang 004 (ESEC/SIGSOFT FSE, 2020)

AutoSys: The Design and Operation of Learning-Augmented Systems. - Chieh-Jan Mike Liang; Hui Xue 004; Mao Yang 004; Lidong Zhou; Lifei Zhu; Zhao Lucis Li; Zibo Wang; Qi Chen 009; Quanlu Zhang; Chuanjie Liu; Wenjun Dai (USENIX ATC, 2020)

Resource-Guided Configuration Space Reduction for Deep Learning Models. - Yanjie Gao; Yonghao Zhu; Hongyu Zhang 002; Haoxiang Lin; Mao Yang 004 (ICSE, 2021)

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search. - Qi Chen 009; Bing Zhao; Haidong Wang; Mingqin Li; Chuanjie Liu; Zengzhong Li; Mao Yang 004; Jingdong Wang 001 (NeurIPS, 2021)

WRENCH: A Comprehensive Benchmark for Weak Supervision. - Jieyu Zhang 001; Yue Yu 001; Yinghao Li; Yujing Wang; Yaming Yang 001; Mao Yang 004; Alexander Ratner (NeurIPS Datasets and Benchmarks, 2021)

Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns. - Xian Zhang 001; Xiaobing Guo; Zixuan Zeng; Wenyan Liu 001; Zhongxin Guo; Yang Chen; Shuo Chen 001; Qiufeng Yin; Mao Yang 004 (SRDS, 2021)

Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning. - Ziyan Luo; Linfeng Zhao; Wei Cheng; Sihao Chen; Qi Chen 009; Hui Xue 004; Haidong Wang; Chuanjie Liu; Mao Yang 004; Lintao Zhang (WWW, 2021)

Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns (Extended Version). - Xian Zhang 001; Xiaobing Guo; Zixuan Zeng; Wenyan Liu 001; Zhongxin Guo; Yang Chen; Shuo Chen 001; Qiufeng Yin; Mao Yang 004; Lidong Zhou (CoRR, 2021)

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search. - Qi Chen 009; Bing Zhao; Haidong Wang; Mingqin Li; Chuanjie Liu; Zengzhong Li; Mao Yang 004; Jingdong Wang 001 (CoRR, 2021)

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. - Li Lyna Zhang; Youkow Homma; Yujing Wang; Min Wu; Mao Yang 004; Ruofei Zhang; Ting Cao; Wei Shen (CIKM, 2022)

REFTY: Refinement Types for Valid Deep Learning Models. - Yanjie Gao; Zhengxian Li; Haoxiang Lin; Hongyu Zhang 002; Ming Wu 007; Mao Yang 004 (ICSE, 2022)

A Neural Corpus Indexer for Document Retrieval. - Yujing Wang; Yingyan Hou; Haonan Wang; Ziming Miao; Shibin Wu; Qi Chen 009; Yuqing Xia; Chengmin Chi; Guoshuai Zhao; Zheng Liu 011; Xing Xie 001; Hao Sun 015; et al. (NeurIPS, 2022)

SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute. - Ningxin Zheng; Bin Lin; Quanlu Zhang; Lingxiao Ma; Yuqing Yang 001; Fan Yang 024; Yang Wang 053; Mao Yang 004; Lidong Zhou (OSDI, 2022)

ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. - Hongyu Zhu 003; Ruofan Wu; Yijia Diao; Shanbin Ke; Haoyu Li; Chen Zhang 001; Jilong Xue; Lingxiao Ma; Yuqing Xia; Wei Cui; Fan Yang 024; Mao Yang 004; et al. (OSDI, 2022)

Towards efficient vision transformer inference: a first study of transformers on mobile devices. - Xudong Wang; Li Lyna Zhang; Yang Wang 053; Mao Yang 004 (HotMobile, 2022)

A Neural Corpus Indexer for Document Retrieval. - Yujing Wang; Yingyan Hou; Haonan Wang; Ziming Miao; Shibin Wu; Hao Sun 015; Qi Chen 009; Yuqing Xia; Chengmin Chi; Guoshuai Zhao; Zheng Liu 011; Xing Xie 001; et al. (CoRR, 2022)

LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data. - Wenlei Shi; Xinquan Huang; Xiaotian Gao; Xinran Wei; Jia Zhang 004; Jiang Bian 002; Mao Yang 004; Tie-Yan Liu (CoRR, 2022)

FrozenHot Cache: Rethinking Cache Management for Modern Hardware. - Ziyue Qiu; Juncheng Yang; Juncheng Zhang; Cheng Li 001; Xiaosong Ma; Qi Chen 009; Mao Yang 004; Yinlong Xu (EuroSys, 2023)

ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. - Chen Tang; Li Lyna Zhang; Huiqiang Jiang; Jiahang Xu; Ting Cao; Quanlu Zhang; Yuqing Yang 001; Zhi Wang; Mao Yang 004 (ICCV, 2023)

SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. - Xudong Wang; Li Lyna Zhang; Jiahang Xu; Quanlu Zhang; Yujing Wang; Yuqing Yang 001; Ningxin Zheng; Ting Cao; Mao Yang 004 (ICCV, 2023)

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network. - Yanjie Gao; Xianyu Gu; Hongyu Zhang 002; Haoxiang Lin; Mao Yang 004 (ICSE-SEIP, 2023)

An Empirical Study on Quality Issues of Deep Learning Platform. - Yanjie Gao; Xiaoxiang Shi; Haoxiang Lin; Hongyu Zhang 002; Hao Wu; Rui Li; Mao Yang 004 (ICSE-SEIP, 2023)

Accurate and Structured Pruning for Efficient Automatic Speech Recognition. - Huiqiang Jiang; Li Lyna Zhang; Yuang Li; Yu Wu; Shijie Cao; Ting Cao; Yuqing Yang 001; Jinyu Li; Mao Yang 004; Lili Qiu (INTERSPEECH, 2023)

Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference. - Junyan Li; Li Lyna Zhang; Jiahang Xu; Yujing Wang; Shaoguang Yan; Yunqing Xia; Yuqing Yang 001; Ting Cao; Hao Sun 015; Weiwei Deng; Qi Zhang 066; Mao Yang 004 (KDD, 2023)

Tutel: Adaptive Mixture-of-Experts at Scale. - Changho Hwang; Wei Cui; Yifan Xiong 001; Ziyue Yang; Ze Liu; Han Hu 001; Zilong Wang; Rafael Salas; Jithin Jose; Prabhat Ram; Joe Chau; Peng Cheng 005; et al. (MLSys, 2023)

LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup. - Xiaohu Tang; Yang Wang 053; Ting Cao; Li Lyna Zhang; Qi Chen 009; Deng Cai 001; Yunxin Liu 001; Mao Yang 004 (MobiCom, 2023)

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors. - Jianyu Wei; Ting Cao; Shijie Cao; Shiqi Jiang; Shaowei Fu; Mao Yang 004; Yanyong Zhang; Yunxin Liu 001 (MobiSys, 2023)

Model-enhanced Vector Index. - Hailin Zhang 004; Yujing Wang; Qi Chen 009; Ruiheng Chang; Ting Zhang 002; Ziming Miao; Yingyan Hou; Yang Ding; Xupeng Miao; Haonan Wang; Bochen Pang; Yuefeng Zhan; et al. (NeurIPS, 2023)

On Modular Learning of Distributed Systems for Predicting End-to-End Latency. - Chieh-Jan Mike Liang; Zilin Fang; Yuqing Xie 005; Fan Yang 024; Zhao Lucis Li; Li Lyna Zhang; Mao Yang 004; Lidong Zhou (NSDI, 2023)

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning. - Chen Zhang 001; Lingxiao Ma; Jilong Xue; Yining Shi 001; Ziming Miao; Fan Yang 024; Jidong Zhai; Zhi Yang 001; Mao Yang 004 (OSDI, 2023)

VBASE: Unifying Online Vector Similarity Search and Relational Queries via Relaxed Monotonicity. - Qianxi Zhang; Shuotao Xu; Qi Chen 009; Guoxin Sui; Jiadong Xie 002; Zhizhen Cai; Yaoqi Chen; Yinxuan He; Yuqing Yang 001; Fan Yang 024; Mao Yang 004; Lidong Zhou (OSDI, 2023)

SPFresh: Incremental In-Place Update for Billion-Scale Vector Search. - Yuming Xu; Hengyu Liang; Jin Li; Shuotao Xu; Qi Chen 009; Qianxi Zhang; Cheng Li 001; Ziyue Yang; Fan Yang 024; Yuqing Yang 001; Peng Cheng 005; Mao Yang 004 (SOSP, 2023)

PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation. - Ningxin Zheng; Huiqiang Jiang; Quanlu Zhang; Zhenhua Han; Lingxiao Ma; Yuqing Yang 001; Fan Yang 024; Chengruidong Zhang; Lili Qiu; Mao Yang 004; Lidong Zhou (SOSP, 2023)

SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction. - Zhiqi Lin; Youshan Miao; Guodong Liu; Xiaoxiang Shi; Quanlu Zhang; Fan Yang 024; Saeed Maleki; Yi Zhu; Xu Cao; Cheng Li 001; Mao Yang 004; Lintao Zhang; et al. (CoRR, 2023)

SparDA: Accelerating Dynamic Sparse Deep Neural Networks via Sparse-Dense Transformation. - Ningxin Zheng; Huiqiang Jiang; Quanlu Zhang; Zhenhua Han; Yuqing Yang 001; Lingxiao Ma; Fan Yang 024; Lili Qiu; Mao Yang 004; Lidong Zhou (CoRR, 2023)

LUT-NN: Towards Unified Neural Network Inference by Table Lookup. - Xiaohu Tang; Yang Wang 053; Ting Cao; Li Lyna Zhang; Qi Chen 009; Deng Cai 001; Yunxin Liu 001; Mao Yang 004 (CoRR, 2023)

Gamify Stencil Dwarf on Cloud for Democratizing Scientific Computing. - Kun Li 016; Zhichun Li; Yuetao Chen; Zixuan Wang; Yiwei Zhang; Liang Yuan; Haipeng Jia; Yunquan Zhang; Ting Cao; Mao Yang 004 (CoRR, 2023)

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. - Yijia Zhang; Lingran Zhao; Shijie Cao; Wenqiang Wang; Ting Cao; Fan Yang 024; Mao Yang 004; Shanghang Zhang; Ningyi Xu (CoRR, 2023)

Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations. - Fucheng Jia; Shiqi Jiang; Ting Cao; Wei Cui; Tianrui Xia; Xu Cao; Yuanchun Li; Deyu Zhang; Ju Ren 001; Yunxin Liu 001; Lili Qiu; Mao Yang 004 (CoRR, 2023)

Compresso: Structured Pruning with Collaborative Prompting Learns Compact Large Language Models. - Song Guo; Jiahang Xu; Li Lyna Zhang; Mao Yang 004 (CoRR, 2023)

Boosting LLM Reasoning: Push the Limits of Few-shot Learning with Reinforced In-Context Pruning. - Xijie Huang; Li Lyna Zhang; Kwang-Ting Cheng; Mao Yang 004 (CoRR, 2023)

PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization. - Cong Li; Zhe Zhou 002; Yang Wang 053; Fan Yang 093; Ting Cao; Mao Yang 004; Yun Liang 001; Guangyu Sun 003 (ASPLOS (2), 2024)

IRGen: Generative Modeling for Image Retrieval. - Yidan Zhang; Ting Zhang 002; Dong Chen 003; Yujing Wang; Qi Chen 009; Xing Xie 001; Hao Sun 015; Weiwei Deng; Qi Zhang 066; Fan Yang 024; Mao Yang 004; Qingmin Liao; et al. (ECCV (15), 2024)

Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning. - Xijie Huang; Li Lyna Zhang; Kwang-Ting Cheng; Fan Yang 024; Mao Yang 004 (EMNLP, 2024)

VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. - Yifei Liu; Jicheng Wen; Yang Wang 053; Shengyu Ye; Li Lyna Zhang; Ting Cao; Cheng Li 001; Mao Yang 004 (EMNLP, 2024)

Integer or Floating Point? New Outlooks for Low-Bit Quantization on Large Language Models. - Yijia Zhang; Lingran Zhao; Shijie Cao; Sicheng Zhang; Wenqiang Wang; Ting Cao; Fan Yang 024; Mao Yang 004; Shanghang Zhang; Ningyi Xu (ICME, 2024)

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens. - Yiran Ding; Li Lyna Zhang; Chengruidong Zhang; Yuanyuan Xu; Ning Shang; Jiahang Xu; Fan Yang 024; Mao Yang 004 (ICML, 2024)

An Empirical Study on Low GPU Utilization of Deep Learning Jobs. - Yanjie Gao; Yichen He; Xinze Li; Bo Zhao; Haoxiang Lin; Yoyo Liang; Jing Zhong; Hongyu Zhang 002; Jingzhou Wang; Yonghua Zeng; Keli Gui; Jie Tong; et al. (ICSE, 2024)

Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference. - Ranggi Hwang; Jianyu Wei; Shijie Cao; Changho Hwang; Xiaohu Tang; Ting Cao; Mao Yang 004 (ISCA, 2024)

Empowering In-Browser Deep Learning Inference on Edge Through Just-In-Time Kernel Optimization. - Fucheng Jia; Shiqi Jiang; Ting Cao; Wei Cui; Tianrui Xia; Xu Cao; Yuanchun Li; Qipeng Wang; Deyu Zhang; Ju Ren 001; Yunxin Liu 001; Lili Qiu; et al. (MobiSys, 2024)

LitePred: Transferable and Scalable Latency Prediction for Hardware-Aware Neural Architecture Search. - Chengquan Feng; Li Lyna Zhang; Yuanchi Liu; Jiahang Xu; Chengruidong Zhang; Zhiyuan Wang; Ting Cao; Mao Yang 004; Haisheng Tan (NSDI, 2024)

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training. - Zhiqi Lin; Youshan Miao; Quanlu Zhang; Fan Yang 024; Yi Zhu; Cheng Li 001; Saeed Maleki; Xu Cao; Ning Shang; Yilei Yang; Weijiang Xu; Mao Yang 004; et al. (OSDI, 2024)

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation. - Lei Wang 222; Lingxiao Ma; Shijie Cao; Quanlu Zhang; Jilong Xue; Yining Shi 001; Ningxin Zheng; Ziming Miao; Fan Yang 024; Ting Cao; Yuqing Yang 001; Mao Yang 004 (OSDI, 2024)

ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores. - Yuetao Chen; Kun Li 016; Yuhao Wang; Donglin Bai; Lei Wang 222; Lingxiao Ma; Liang Yuan; Yunquan Zhang; Ting Cao; Mao Yang 004 (PPoPP, 2024)

Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity. - Tuowei Wang; Kun Li 016; Zixu Hao; Donglin Bai; Ju Ren 001; Yaoxue Zhang; Ting Cao; Mao Yang 004 (SC, 2024)

LoRAStencil: Low-Rank Adaptation of Stencil Computation on Tensor Cores. - Yiwei Zhang; Kun Li 016; Liang Yuan; Jiawen Cheng; Yunquan Zhang; Ting Cao; Mao Yang 004 (SC, 2024)

Uncovering Nested Data Parallelism and Data Reuse in DNN Computation with FractalTensor. - Siran Liu; Chengxiang Qi; Ying Cao; Chao Yang 002; Weifang Hu; Xuanhua Shi; Fan Yang 024; Mao Yang 004 (SOSP, 2024)

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. - Qi Chen 009; Xiubo Geng; Corby Rosset; Carolyn Buractaon; Jingwen Lu; Tao Shen 001; Kun Zhou 002; Chenyan Xiong; Yeyun Gong; Paul N. Bennett; Nick Craswell; Xing Xie 001; et al. (WWW (Companion Volume), 2024)

OneSparse: A Unified System for Multi-index Vector Search. - Yaoqi Chen; Ruicheng Zheng; Qi Chen 009; Shuotao Xu; Qianxi Zhang; Xue Wu; Weihao Han; Hua Yuan; Mingqin Li; Yujing Wang; Jason Li; Fan Yang 024; et al. (WWW (Companion Volume), 2024)

LUT Tensor Core: Lookup Table Enables Efficient Low-Bit LLM Inference Acceleration. - Zhiwen Mo; Lei Wang 222; Jianyu Wei; Zhichen Zeng 002; Shijie Cao; Lingxiao Ma; Naifeng Jing; Ting Cao; Jilong Xue; Fan Yang 024; Mao Yang 004 (CoRR, 2024)

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers. - Zhenting Qi; Mingyuan Ma; Jiahang Xu; Li Lyna Zhang; Fan Yang 024; Mao Yang 004 (CoRR, 2024)

SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs. - Yizhao Gao 002; Zhichen Zeng 002; Dayou Du; Shijie Cao; Hayden Kwok-Hay So; Ting Cao; Fan Yang 024; Mao Yang 004 (CoRR, 2024)

RedStone: Curating General, Code, Math, and QA Data for Large Language Models. - Yaoyao Chang; Lei Cui 001; Li Dong 004; Shaohan Huang; Yangyu Huang; Yupan Huang; Scarlett Li; Tengchao Lv; Shuming Ma; Qinzheng Sun; Wenhui Wang 003; Furu Wei; et al. (CoRR, 2024)

Matryoshka: Optimization of Dynamic Diverse Quantum Chemistry Systems via Elastic Parallelism Transformation. - Tuowei Wang; Kun Li 016; Donglin Bai; Fusong Ju; Leo Xia; Ting Cao; Ju Ren 001; Yaoxue Zhang; Mao Yang 004 (CoRR, 2024)

LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data. - Xinquan Huang; Wenlei Shi; Xiaotian Gao; Xinran Wei; Jia Zhang 004; Jiang Bian 002; Mao Yang 004; Tie-Yan Liu (Neural Networks, 2024)

T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on Edge. - Jianyu Wei; Shijie Cao; Ting Cao; Lingxiao Ma; Lei Wang 222; Yanyong Zhang; Mao Yang 004 (EuroSys, 2025)

LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator. - Guoyu Li; Shengyu Ye; Chunyun Chen; Yang Wang 053; Fan Yang 024; Ting Cao; Cheng Liu; Mohamed M. Sabry Aly; Mao Yang 004 (HPCA, 2025)

Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solver. - Zhenting Qi; Mingyuan Ma; Jiahang Xu; Li Lyna Zhang; Fan Yang 024; Mao Yang 004 (ICLR, 2025)

LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference. - Zhiwen Mo; Lei Wang 222; Jianyu Wei; Zhichen Zeng 002; Shijie Cao; Lingxiao Ma; Naifeng Jing; Ting Cao; Jilong Xue; Fan Yang 024; Mao Yang 004 (ISCA, 2025)

PipeThreader: Software-Defined Pipelining for Efficient DNN Execution. - Yu Cheng; Lei Wang 222; Yining Shi 001; Yuqing Xia; Lingxiao Ma; Jilong Xue; Yang Wang 053; Zhiwen Mo; Feiyang Chen; Fan Yang 024; Mao Yang 004; Zhi Yang 001 (OSDI, 2025)

FlashFFTStencil: Bridging Fast Fourier Transforms to Memory-Efficient Stencil Computations on Tensor Core Units. - Haozhi Han; Kun Li 016; Wei Cui; Donglin Bai; Yiwei Zhang; Liang Yuan; Yifeng Chen; Yunquan Zhang; Ting Cao; Mao Yang 004 (PPoPP, 2025)

Jigsaw: Toward Conflict-free Vectorized Stencil Computation by Tessellating Swizzled Registers. - Yiwei Zhang; Kun Li 016; Liang Yuan; Haozhi Han; Yunquan Zhang; Ting Cao; Mao Yang 004 (PPoPP, 2025)

dl²: Detecting Communication Deadlocks in Deep Learning Jobs. - Yanjie Gao; Jiyu Luo; Haoxiang Lin; Hongyu Zhang 002; Ming Wu 007; Mao Yang 004 (SIGSOFT FSE Companion, 2025)

Reduction Fusion for Optimized Distributed Data-Parallel Computations via Inverse Recomputation. - Haoxiang Lin; Yang Wang 053; Yanjie Gao; Hongyu Zhang 002; Ming Wu 007; Mao Yang 004 (SIGSOFT FSE Companion, 2025)

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking. - Xinyu Guan; Li Lyna Zhang; Yifei Liu; Ning Shang; Youran Sun; Yi Zhu; Fan Yang 024; Mao Yang 004 (CoRR, 2025)

LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator. - Guoyu Li; Shengyu Ye; Chunyun Chen; Yang Wang 053; Fan Yang 024; Ting Cao; Cheng Li 001; Mohamed M. Sabry; Mao Yang 004 (CoRR, 2025)

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models. - Zhenghao Lin; Zihao Tang; Xiao Liu 029; Yeyun Gong; Yi Cheng; Qi Chen 009; Hang Li; Ying Xin; Ziyue Yang; Kailai Yang; Yu Yan; Xiao Liang; et al. (CoRR, 2025)

AttentionEngine: A Versatile Framework for Efficient Attention Mechanisms on Diverse Hardware Platforms. - Feiyang Chen; Yu Cheng; Lei Wang 222; Yuqing Xia; Ziming Miao; Lingxiao Ma; Fan Yang 024; Jilong Xue; Zhi Yang 001; Mao Yang 004; Haibo Chen (CoRR, 2025)

LongRoPE2: Near-Lossless LLM Context Window Scaling. - Ning Shang; Li Lyna Zhang; Siyuan Wang; Gaokai Zhang; Gilsinia Lopez; Fan Yang 024; Weizhu Chen; Mao Yang 004 (CoRR, 2025)

BitDecoding: Unlocking Tensor Cores for Long-Context LLMs Decoding with Low-Bit KV Cache. - Dayou Du; Shijie Cao; Jianyi Cheng; Ting Cao; Mao Yang 004 (CoRR, 2025)

SwarmThinkers: Learning Physically Consistent Atomic KMC Transitions at Scale. - Qi Li; Kun Li 016; Haozhi Han; Honghui Shang; Xinfu He; Yunquan Zhang; Hong An; Ting Cao; Mao Yang 004 (CoRR, 2025)

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset. - Yifei Liu; Li Lyna Zhang; Yi Zhu; Bingcheng Dong; Xudong Zhou; Ning Shang; Fan Yang 024; Mao Yang 004 (CoRR, 2025)

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning. - Yizhao Gao 002; Shuming Guo; Shijie Cao; Yuqing Xia; Yu Cheng; Lei Wang 222; Lingxiao Ma; Yutao Sun; Tianzhu Ye; Li Dong 004; Hayden Kwok-Hay So; Yu Hua; et al. (CoRR, 2025)

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs. - Xumeng Wen; Zihan Liu; Shun Zheng 001; Zhijian Xu; Shengyu Ye; Zhirong Wu; Xiao Liang; Yang Wang 053; Junjie Li; Ziming Miao; Jiang Bian 002; Mao Yang 004 (CoRR, 2025)

SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation. - Qi Li; Kun Li 016; Haozhi Han; Liang Yuan; Junshi Chen; Yunquan Zhang; Yifeng Chen; Hong An; Ting Cao; Mao Yang 004 (CoRR, 2025)

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training. - Kailai Yang; Xiao Liu 029; Lei Ji; Hao Li 074; Yeyun Gong; Peng Cheng 005; Mao Yang 004 (CoRR, 2025)