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Publications

Published papers, ongoing work, and collaborations by Shunyu Wu across optimization, forecasting, and quantitative modeling.
Keywords

Shunyu Wu publications, shunyuwu publications, 吴舜禹 论文, optimization, forecasting, quantitative modeling

This list is synchronized with the dissertation achievement section and public scholarly profiles. Status is explicitly separated into Published, Current Manuscripts, and Collaborations to avoid ambiguity.

Recurring themes across these papers include optimization, forecasting, system modeling, and quantitative decision methods.

Citation Profiles

At a Glance

  • 3 first-author published journal papers
  • 5 first-author manuscripts in submitted, under-review, or in-preparation stages
  • 6 selected collaboration papers across journals and conference proceedings

Published (First-Author)

  1. End-to-End Stochastic Predict-Then-Optimize for Cost-Efficient Water-Energy Resource Scheduling
    IEEE Transactions on Smart Grid, 2025. DOI: 10.1109/TSG.2025.3601238
  2. Knowledge-based Bi-correction Model for Lag-free Daily Urban Water Demand Forecasting
    Expert Systems with Applications, 2024. DOI: 10.1016/j.eswa.2024.124508
  3. CritiCoder: End-to-End Uncertain Regression for Robust Macroscopic Pressure Models in WDN
    IEEE Transactions on Computational Social Systems, 2023. DOI: 10.1109/TCSS.2023.3272330

Ongoing Work (Submitted / Under Review / In Preparation)

  1. Planning the Invisible: End-to-End Sensor Deployment Regret Minimization for Anomaly-Aware Water Networks
    Water Research, submitted (2026).
  2. Learning as Energy Dissipation: Handling Inexact Surrogate Gradients in Decision-Focused Training
    IEEE/CAA Journal of Automatica Sinica, submitted (2025).
  3. Crossing the Separation Point: Stabilizing Decision-Focused Training with Recursive Variational Free-Energy
    ICML, under review (2026).
  4. FENCE: Feasibility-ENforced Constrained nEural Solver for End-to-End Constrained Optimization
    ICML, under review (2026).
  5. Beyond Objective Parameters: Parametric Dual-Gap Regret for Predict-then-Optimize under Unknown Constraint Parameters
    In preparation (2026).

Collaborations (Selected Published / Proceedings)

  1. Reinforcement Learning Controller Design for Discrete-Time-Constrained Nonlinear Systems With Weight Initialization Method
    IEEE TSMC: Systems, 2024. DOI: 10.1109/TSMC.2023.3344883
  2. Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems With Trajectory-Based Initial Control Policy
    IEEE TSMC: Systems, 2024. DOI: 10.1109/TSMC.2023.3327450
  3. Prediction of Energy Consumption in Horizontal Roughing Process of Hot Rolling Strip Based on TDADE Algorithm
    IEEE TASE, 2024. DOI: 10.1109/TASE.2023.3236306
  4. A Novel Series-Concatenation Hybrid Prediction Model of Energy Consumption in Hot Strip Roughing Process With Multi-Step Rolling
    IEEE TASE, 2024. DOI: 10.1109/TASE.2023.3299185
  5. Adaptive Optimal Control of Nonlinear Systems with Multiple Time-Scale Eligibility Traces
    CDC, 2023. DOI: 10.1109/CDC49753.2023.10383316
  6. The CEEMDAN-ps-gcGRU Model on Water Pressure Prediction With Strong Irregularity
    IFAC-PapersOnLine, 2023. DOI: 10.1016/j.ifacol.2023.10.581