Nan Jiang

Best Publications

• A detailed and flexible cycle-accurate Network-on-Chip simulator

  Nan Jiang;Daniel U. Becker;George Michelogiannakis;James Balfour

  884
  Citations

• Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

  Sen Qiu;Hongkai Zhao;Nan Jiang;Zhelong Wang

  613
  Citations

• Contextual decision processes with low Bellman rank are PAC-learnable

  Nan Jiang;Akshay Krishnamurthy;Alekh Agarwal;John Langford

  216
  Citations

• Indirect adaptive routing on large scale interconnection networks

  Nan Jiang;John Kim;William J. Dally

  173
  Citations

• Time series k-means

  Xiaohui Huang;Yunming Ye;Liyan Xiong;Raymond Y.K. Lau

  168
  Citations

• PhotoHelper: Portrait Photographing Guidance Via Deep Feature Retrieval and Fusion

  Unknown

  161
  Citations

• The dependence of effective planning horizon on model accuracy

  Nan Jiang;Alex Kulesza;Satinder Singh;Richard Lewis

  112
  Citations

• The Dependence of Effective Planning Horizon on Model Accuracy

  Nan Jiang;Alex Kulesza;Satinder Singh;Richard Lewis

  110
  Citations

• Sensor network oriented human motion capture via wearable intelligent system

  Sen Qiu;Hongkai Zhao;Nan Jiang;Donghui Wu

  106
  Citations

• Provably efficient RL with Rich Observations via Latent State Decoding

  Simon S. Du;Akshay Krishnamurthy;Nan Jiang;Alekh Agarwal

  104
  Citations

• Learning Adaptive Metric for Robust Visual Tracking

  Nan Jiang;Wenyu Liu;Ying Wu

  100
  Citations

• A two-stage privacy protection mechanism based on blockchain in mobile crowdsourcing

  Zice Sun;Yingjie Wang;Zhipeng Cai;Tianen Liu

  98
  Citations

• A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm

  Brian Zimmer;Rangharajan Venkatesan;Yakun Sophia Shao;Jason Clemons

  93
  Citations

• Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning

  Cameron Voloshin;Hoang Minh Le;Nan Jiang;Yisong Yue

  87
  Citations

• Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning

  Cameron Voloshin;Hoang M. Le;Nan Jiang;Yisong Yue

  86
  Citations

• Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches

  Wen Sun;Nan Jiang;Akshay Krishnamurthy;Alekh Agarwal

  82
  Citations

• Toward optimal participant decisions with voting-based incentive model for crowd sensing

  Nan Jiang;Dong Xu;Jie Zhou;Hongyang Yan

  80
  Citations

• Information-Theoretic Considerations in Batch Reinforcement Learning

  Unknown

  76
  Citations

• Efficient Privacy-Preserving Authentication Protocol Using PUFs with Blockchain Smart Contracts

  Akash Suresh Patil;Rafik Hamza;Rafik Hamza;Alzubair Hassan;Nan Jiang

  73
  Citations

• Network congestion avoidance through Speculative Reservation

  Nan Jiang;Daniel U. Becker;George Michelogiannakis;William J. Dally

  73
  Citations