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  Statistical Signal Processing
    State Estimation
    Wireless Communications
    Time Series
    Positioning and Tracking
  Intelligent Transportation
  Preprints

Statistical Signal Processing

 State Estimation

1. Distributionally Robust State Estimation for Jump Linear Systems
   Shixiong Wang
   IEEE Transactions on Signal Processing, Vol. 71, pp. 3835-3851, Oct 2023
   [Paper] [Supplementary] [Codes]
2. Distributionally Robust State Estimation for Nonlinear Systems
   Shixiong Wang
   IEEE Transactions on Signal Processing, Vol. 70, pp. 4408-4423, Aug 2022
   [Paper] [Supplementary] [Codes]
3. Distributionally Robust State Estimation for Linear Systems Subject to Uncertainty and Outlier
   Shixiong Wang and Zhisheng Ye
   IEEE Transactions on Signal Processing, Vol. 70, pp. 452-467, Dec 2021
   [Paper] [Supplementary] [Codes]
4. Robust State Estimation for Linear Systems Under Distributional Uncertainty
   Shixiong Wang, Zhongming Wu, and Andrew Lim
   IEEE Transactions on Signal Processing, Vol. 69, pp. 5963-5978, Oct 2021
   [Paper] [Supplementary] [Codes]
5. Optimal Joint Estimation and Identification Theorem to Linear Gaussian System with Unknown Inputs
   Shixiong Wang, Chongshou Li, and Andrew Lim
   Signal Processing, Vol. 161, pp. 268-288, Aug 2019
   [Paper] [Codes]

 Wireless Communications

1. Machine Learning in Communications: A Road to Intelligent Transmission and Processing
   Shixiong Wang and Geoffrey Ye Li
   Communications of Huawei Research, Issue 7, pp. 2-20, Nov 2024. (Invited Article.)
   [Paper] [Full Issue Access]
2. Distributionally Robust Outlier-Aware Receive Beamforming
   Shixiong Wang, Wei Dai, and Geoffrey Ye Li
   34th IEEE International Workshop on Machine Learning for Signal Processing (IEEE MLSP 2024), Sep 22-25 2024, London, UK
   [Paper] [Codes]
3. Robust Waveform Design for Integrated Sensing and Communication
   Shixiong Wang, Wei Dai, Haowei Wang, and Geoffrey Ye Li
   IEEE Transactions on Signal Processing, Vol. 72, pp. 3122-3138, Jun 2024
   [Paper] [Supplementary] [Codes]

 Time Series

1. A Model for Non-Stationary Time Series and its Applications in Filtering and Anomaly Detection
   Shixiong Wang, Chongshou Li, and Andrew Lim
   IEEE Transactions on Instrumentation and Measurement, Vol. 70, pp. 1-11, Feb 2021
   [Paper] [Codes]

 Positioning and Tracking

1. Denoising, Outlier/Dropout Correction, and Sensor Selection in Range-Based Positioning
   Shixiong Wang, Zhongming Wu, and Andrew Lim
   IEEE Transactions on Instrumentation and Measurement, Vol. 70, pp. 1-13, May 2021
   [Paper] [Codes]

Intelligent Transportation

1. A Railway Accident Prevention System Using An Intelligent Pilot Vehicle
   Shixiong Wang*, Xinke Li*, Zhirui Chen, and Yang Liu (*: Equal Contribution)
   IEEE Transactions on Intelligent Transportation Systems, Vol. 25, pp. 5170-5188, Dec 2023
   [Paper] [Supplementary] [Codes]
2. System for Managing Interconnected Objects
   Shixiong Wang, Chongshou Li, and Andrew Lim
   WIPO PCT Patent, 02 Sep 2021
   [Patent] [WIPO] [PCT]
3. ROPHS: Determine Real-Time Status of a Multi-Carriage Logistics Train at Airport
   Shixiong Wang, Chongshou Li, and Andrew Lim
   IEEE Transactions on Intelligent Transportation Systems, Vol. 23, pp. 6347-6356, Feb 2021
   [Paper] [Video] [Codes]
4. Accurate Tracking, Collision Detection, and Optimal Scheduling of Airport Ground Support Equipment
   Shixiong Wang, Yuxin Che, Huangjie Zhao, and Andrew Lim
   IEEE Internet of Things Journal, Vol. 8, pp. 572-584, Jun 2020
   [Paper] [Video] [Codes]

Preprints

1. Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity
   Shixiong Wang, Haowei Wang, and Jean Honorio
   Under Submission
2. Distributional Robustness Bounds Generalization Errors
   Shixiong Wang and Haowei Wang
   Under Submission
3. Uncertainty-Aware Bayes' Rule and Its Applications
   Shixiong Wang
   Under Submission
4. Distributionally Robust Receive Beamforming
   Shixiong Wang, Wei Dai, and Geoffrey Ye Li
   Under Submission
5. Robust Beamforming with Application in High-Resolution Sensing
   Shixiong Wang, Wei Dai, and Geoffrey Ye Li
   Under Submission