MPAP: virtualization architecture for heterogenous wireless APs. - Yong He; Ji Fang; Jiansong Zhang 001; Haichen Shen; Kun Tan; Yongguang Zhang (Comput. Commun. Rev., 2011)

Enable flexible spectrum access with spectrum virtualization. - Kun Tan; Haichen Shen; Jiansong Zhang 001; Yongguang Zhang (DySPAN, 2012)

Frame retransmissions considered harmful: improving spectrum efficiency using Micro-ACKs. - Jiansong Zhang 001; Haichen Shen; Kun Tan; Ranveer Chandra; Yongguang Zhang; Qian Zhang 001 (MobiCom, 2012)

Accelerating the mobile web with selective offloading. - Xiao Sophia Wang; Haichen Shen; David Wetherall (MCC@SIGCOMM, 2013)

Enhancing mobile apps to use sensor hubs without programmer effort. - Haichen Shen; Aruna Balasubramanian; Anthony LaMarca; David Wetherall (UbiComp, 2015)

MetaSync: File Synchronization Across Multiple Untrusted Storage Services. - Seungyeop Han; Haichen Shen; Taesoo Kim; Arvind Krishnamurthy; Thomas E. Anderson; David Wetherall (USENIX ATC, 2015)

Visualizing NLP annotations for Crowdsourcing. - Hanchuan Li; Haichen Shen; Shengliang Xu; Congle Zhang (CoRR, 2015)

MobileHub: No Programmer Effort for Power Efficiency with Sensor Hub. - Haichen Shen; David Wetherall; Aruna Balasubramanian; Anthony LaMarca (GetMobile Mob. Comput. Commun., 2015)

MCDNN: An Approximation-Based Execution Framework for Deep Stream Processing Under Resource Constraints. - Seungyeop Han; Haichen Shen; Matthai Philipose; Sharad Agarwal; Alec Wolman; Arvind Krishnamurthy (MobiSys, 2016)

A teamwork approach to improving the downloading time in BitTorrent-like systems. - Hong Tang; Haichen Shen; Cong-Cong Xing (Int. J. Comput. Sci. Eng., 2016)

MetaSync: Coordinating Storage across Multiple File Synchronization Services. - Seungyeop Han; Haichen Shen; Taesoo Kim; Arvind Krishnamurthy; Thomas E. Anderson; David Wetherall (IEEE Internet Comput., 2016)

Fast Video Classification via Adaptive Cascading of Deep Models. - Haichen Shen; Seungyeop Han; Matthai Philipose; Arvind Krishnamurthy (CVPR, 2017)

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning. - Tianqi Chen 001; Thierry Moreau; Ziheng Jiang; Lianmin Zheng; Eddie Q. Yan; Haichen Shen; Meghan Cowan; Leyuan Wang; Yuwei Hu; Luis Ceze; Carlos Guestrin; Arvind Krishnamurthy (OSDI, 2018)

TVM: End-to-End Optimization Stack for Deep Learning. - Tianqi Chen 001; Thierry Moreau; Ziheng Jiang; Haichen Shen; Eddie Q. Yan; Leyuan Wang; Yuwei Hu; Luis Ceze; Carlos Guestrin; Arvind Krishnamurthy (CoRR, 2018)

Nexus: a GPU cluster engine for accelerating DNN-based video analysis. - Haichen Shen; Lequn Chen 001; Yuchen Jin; Liangyu Zhao; Bingyu Kong; Matthai Philipose; Arvind Krishnamurthy; Ravi Sundaram (SOSP, 2019)

System for Serving Deep Neural Networks Efficiently. - Haichen Shen (2019)

Distream: scaling live video analytics with workload-adaptive distributed edge intelligence. - Xiao Zeng; Biyi Fang; Haichen Shen; Mi Zhang 002 (SenSys, 2020)

Making Distributed Mobile Applications SAFE: Enforcing User Privacy Policies on Untrusted Applications with Secure Application Flow Enforcement. - Adriana Szekeres; Irene Zhang; Katelin Bailey; Isaac Ackerman; Haichen Shen; Franziska Roesner; Dan R. K. Ports; Arvind Krishnamurthy; Henry M. Levy (CoRR, 2020)

Lorien: Efficient Deep Learning Workloads Delivery. - Cody Hao Yu; Xingjian Shi; Haichen Shen; Zhi Chen 030; Mu Li 003; Yida Wang 003 (SoCC, 2021)

Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference. - Haichen Shen; Jared Roesch; Zhi Chen 030; Wei Chen; Yong Wu; Mu Li 003; Vin Sharma; Zachary Tatlock; Yida Wang 003 (MLSys, 2021)

DietCode: Automatic Optimization for Dynamic Tensor Programs. - Bojian Zheng; Ziheng Jiang; Cody Hao Yu; Haichen Shen; Joshua Fromm; Yizhi Liu; Yida Wang 003; Luis Ceze; Tianqi Chen 001; Gennady Pekhimenko (MLSys, 2022)

GZKP: A GPU Accelerated Zero-Knowledge Proof System. - Weiliang Ma; Qian Xiong; Xuanhua Shi; Xiaosong Ma; Hai Jin 001; Haozhao Kuang; Mingyu Gao 001; Ye Zhang; Haichen Shen; Weifang Hu (ASPLOS (2), 2023)

RAF: Holistic Compilation for Deep Learning Model Training. - Cody Hao Yu; Haozheng Fan; Guangtai Huang; Zhen Jia 001; Yizhi Liu; Jie Wang 022; Zach Zheng; Yuan Zhou; Haichen Shen; Junru Shao; Mu Li 003; Yida Wang 003 (CoRR, 2023)