Applied Energy
Counterfactual load forecasting with LLM-structured events and representation learning
Y Chen, Y Gao, R Yu, Y Wu, G Wang, Y Chen, T Li
根据 Google Scholar 按年份整理，含预印本；年份以来源记录为准。更新于 2026 年 9 月 6 日。
Google Scholar 完整列表 ↗精选论文年份索引
2026 13
IEEE Journal
VigilMPC: Certified Online Tube Model Predictive Control for Safe Real-Time Neuromodulation
Y Mao, Z Liang, J Zhang, Q Liu, T Li
Preprint
World Models in Pieces: Structural Certification for General Agents
Y Lu, Y Wu, X Lu, T Li
ACM e-Energy
Energy Injection Identification enabled Disaggregation with Deep Multi-Task Learning
X Wang, G Tang, J Xue, S Keshav, T Li, C Ding
AISTATS
Leveraging Machine-Learned Advice in Strategic Interactions with No-Regret Learners
T Handina, T Li, K Panaganti, E Mazumdar, A Wierman
NeurIPS
Reinforcement Learning with Imperfect Transition Predictions: A Bellman-Jensen Approach
C Lu, Z Chen, T Li, C Wu, A Wierman
Preprint
Safety-Critical Contextual Control via Online Riemannian Optimization with World Models
T Li
Preprint
Bridging Natural Language and Microgrid Dynamics: A Context-Aware Simulator and Dataset
TS Bartels, R Wu, X Lu, Y Lu, F Xia, H Yang, Y Chen, T Li
SIGMETRICS
Prediction-Specific Design of Learning-Augmented Algorithms
S Li, N Christianson, T Li
IEEE Journal
Quantum learning and estimation for coordinated operation between distribution networks and energy communities
Y Zhuang, L Cheng, Y Cao, T Li, N Qi, Y Xu, Y Chen
Preprint
Quantum-Enabled Probabilistic Optimal Power Flow with Built-in Differential Privacy
Y Cao, T Li, Y Chen
AAAI
Adaptive riemannian graph neural networks
X Wang, C Ding, T Li, J Fan
IEEE Conf
PEARL: A Physics-Enhanced Adaptive Residual Learning Framework for PV Modeling
Y Lu, Y Chen, T Li
2025 12
IEEE CDC
PredSLS: A System-Level Framework for Distributed Predictive Control
Y Wu, J Yu, T Li
Preprint
Context-Aware Model Predictive Control for Microgrid Energy Management via LLMs
R Wu, J Ai, TS Bartels, T Li
Journal
Robust Solar Hosting Capacity for Pasadena’s Decarbonization: A Mathematical Program for Robustness Against Uncertainty
H Xu, Y Xie, W Cui, T Li, S Low
ACM e-Energy
DualNILM: Energy Injection Identification Enabled Disaggregation with Deep Multi-Task Learning
X Wang, G Tang, J Xue, S Keshav, T Li, C Ding
Preprint
System-level performance and communication tradeoff in networked control with predictions
Y Wu, J Yu, T Li
Preprint
Learning-augmented control: Adaptively confidence learning for competitive mpc
T Li
ACL
Beyond numeric awards: In-context dueling bandits with LLM agents
F Xia, H Liu, Y Yue, T Li
ACM e-Energy
Open in-context energy management platform
Y Lu, TS Bartels, R Wu, F Xia, X Wang, Y Wu, H Yang, T Li
ACM e-Energy
Learning-augmented online control for decarbonizing water infrastructures
J Yang, P Li, T Li, A Wierman, S Ren
Preprint
Rethinking the unsolvable: When in-context search meets test-time scaling
F Xia, Y Luo, TS Bartels, Y Xu, T Li
IEEE CDC
InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Control
R Wu, J Ai, T Li
Journal
Robust machine-learned algorithms for efficient grid operation
N Christianson, C Yeh, T Li , M Hosseini, MT Rad, A Golmohammadi, A Wierman
2024 7
NeurIPS
Disentangling Linear Quadratic Control with Untrusted ML Predictions
T Li, H Liu, Y Yue
NeurIPS
Safe Exploitative Play with Untrusted Type Beliefs
T Li, T Handina, S Ren, A Wierman
IEEE Journal
Out-of-Distribution-Aware Electric Vehicle Charging
T Li, C Sun
ICML
Building Socially-Equitable Public Models
Y Liu, J Yang, P Li, T Li, S Ren
IEEE Journal
Hierarchical game for coupled power system with energy sharing and transportation system
D Yan, T Li, C Zhao, H Wang, Y Chen
NeurIPS
Beyond black-box advice:learning-augmented algorithms for MDPs with Q-value predictions
T Li, Y Lin, S Ren, A Wierman
NeurIPS
Anytime-competitive reinforcement learning with policy prior
J Yang, P Li, T Li, A Wierman, S Ren
2023 2
IEEE Journal
A data-driven approach for optimizing early-stage electric vehicle charging station placement
C Sun, T Li, X Tang
IEEE Journal
Certifying black-box policies with stability for nonlinear control
T Li, R Yang, G Qu, Y Lin, A Wierman, SH Low
2022 4
Journal
Towards balanced three-phase charging: Phase optimization in adaptive charging networks
Z Ye, T Li, S Low
NeurIPS
Bounded-regret MPC via perturbation analysis: prediction error, constraints, and nonlinearity
Y Lin, Y Hu, G Qu, T Li, A Wierman
SIGMETRICS
Robustness and consistency in linear quadratic control with untrusted predictions
T Li, R Yang, G Qu, G Shi, C Yu, A Wierman, S Low
PhD Thesis
Learning-Augmented Control and Decision-Making: Theory and Applications in Smart Grids
T Li
2021 4
IEEE Conf
Data-driven electric vehicle charging station placement for incentivizing potential demand
C Sun, T Li, X Tang
IEEE Journal
Learning-based predictive control via real-time aggregate flexibility
T Li, B Sun, Y Chen, Z Ye, SH Low, A Wierman
SIGMETRICS
Information aggregation for constrained online control
T Li, Y Chen, B Sun, A Wierman, S Low
NeurIPS
Disentangling observed causal effects from latent confounders using method of moments
A Liu, H Liu, T Li, S Karimi-Bidhendi, Y Yue, A Anandkumar
2020 7
Journal
Classification of electric vehicle charging time series with selective clustering
C Sun, T Li, SH Low, VOK Li
SIGMETRICS
Competitive algorithms for the online multiple knapsack problem with application to electric vehicle charging
B Sun, A Zeynali, T Li, M Hajiesmaili, A Wierman, DHK Tsang
IEEE Journal
Decentralized provision of renewable predictions within a virtual power plant
Y Chen, T Li, C Zhao, W Wei
Patent
Systems and methods for adaptive EV charging
ZJ Lee, T Li, SH Low, SB Sharma
ACM e-Energy
Real-time flexibility feedback for closed-loop aggregator and system operator coordination
T Li, SH Low, A Wierman
ACM e-Energy
ORC: An online competitive algorithm for recommendation and charging schedule in electric vehicle charging network
B Sun, T Li, SH Low, DHK Tsang
IEEE Journal
Learning graphs from linear measurements: Fundamental trade-offs and applications
T Li, L Werner, SH Low
2019 2
IEEE CDC
Learning graph parameters from linear measurements: fundamental trade-offs and application to electric grids
T Li, L Werner, SH Low
ACM e-Energy
ACN-data: Analysis and applications of an open EV charging dataset
ZJ Lee, T Li, SH Low
2018 3
Info Theory
Maximum likelihood upper bounds on the capacities of discrete information stable channels
T Li
Info Theory
Quadratically constrained channels with causal adversaries
T Li, BK Dey, S Jaggi, M Langberg, AD Sarwate
IEEE Conf
Robust and consistent clustering recovery via sdp approaches
C Sun, T Li, VOK Li
2016 1
Info Theory
Fundamental limits and achievable strategies for low energy compressed sensing with applications in wireless communication
T Li, M Bakshi, P Grover
2014 1
Info Theory
Group testing with prior statistics
T Li, CL Chan, W Huang, T Kaced, S Jaggi