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2020 – today
- 2024
[j4]Tianhao Wei, Ziwei Wang, Peizhi Niu, Abulikemu Abuduweili, Weiye Zhao, Casidhe Hutchison, Eric M. Sample, Changliu Liu:
Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability. Trans. Mach. Learn. Res. 2024 (2024)- [j3]Weiye Zhao, Rui Chen, Yifan Sun, Feihan Li, Tianhao Wei, Changliu Liu:
State-wise Constrained Policy Optimization. Trans. Mach. Learn. Res. 2024 (2024) - [j2]Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Ruixuan Liu, Tianhao Wei, Changliu Liu:
GUARD: A Safe Reinforcement Learning Benchmark. Trans. Mach. Learn. Res. 2024 (2024) - [c11]Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu:
Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence. ICML 2024 - [i17]Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu:
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills. CoRR abs/2405.11380 (2024) - [i16]Tianhao Wei, Luca Marzari, Kai S. Yun, Hanjiang Hu, Peizhi Niu, Xusheng Luo, Changliu Liu:
ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks. CoRR abs/2407.01639 (2024) - [i15]Yujie Yang, Hanjiang Hu, Tianhao Wei, Shengbo Eben Li, Changliu Liu:
Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis. CoRR abs/2407.20532 (2024) - [i14]Xusheng Luo, Tianhao Wei, Simin Liu, Ziwei Wang, Luis Mattei-Mendez, Taylor Loper, Joshua Neighbor, Casidhe Hutchison, Changliu Liu:
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods. CoRR abs/2408.00117 (2024) - 2023
- [j1]Tianhao Wei
, Shucheng Kang, Weiye Zhao, Changliu Liu:
Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite Programming. IEEE Control. Syst. Lett. 7: 1213-1218 (2023) - [c10]Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu:
Safety Index Synthesis via Sum-of-Squares Programming. ACC 2023: 732-737 - [c9]Tianhao Wei, Shucheng Kang, Ruixuan Liu, Changliu Liu:
Zero-Shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction. CDC 2023: 8614-8619 - [c8]Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu:
State-wise Safe Reinforcement Learning: A Survey. IJCAI 2023: 6814-6822 - [c7]Cheng Tan, Changliu Liu, Zhihao Jia, Tianhao Wei:
Building Verified Neural Networks for Computer Systems with Ouroboros. MLSys 2023 - [i13]Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu:
State-wise Safe Reinforcement Learning: A Survey. CoRR abs/2302.03122 (2023) - [i12]Tianhao Wei, Shucheng Kang, Ruixuan Liu, Changliu Liu:
Zero-shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction. CoRR abs/2303.10277 (2023) - [i11]Weiye Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu:
GUARD: A Safe Reinforcement Learning Benchmark. CoRR abs/2305.13681 (2023) - [i10]Weiye Zhao, Rui Chen, Yifan Sun, Tianhao Wei, Changliu Liu:
State-wise Constrained Policy Optimization. CoRR abs/2306.12594 (2023) - [i9]Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Tianhao Wei, Changliu Liu:
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization. CoRR abs/2308.13140 (2023) - [i8]Tianhao Wei, Liqian Ma, Ravi Pandya, Changliu Liu:
Robust Safe Control with Multi-Modal Uncertainty. CoRR abs/2309.16830 (2023) - [i7]Ravi Pandya, Tianhao Wei, Changliu Liu:
Multimodal Safe Control for Human-Robot Interaction. CoRR abs/2311.11898 (2023) - 2022
- [c6]Rui Chen, Chenxi Wang, Tianhao Wei, Changliu Liu:
A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion. IROS 2022: 8894-8901 - [c5]Tianhao Wei, Changliu Liu:
Safe Control with Neural Network Dynamic Models. L4DC 2022: 739-750 - [i6]Rui Chen, Chenxi Wang, Tianhao Wei, Changliu Liu:
A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion. CoRR abs/2203.03017 (2022) - [i5]Tianhao Wei, Shucheng Kang, Weiye Zhao, Changliu Liu:
Robust Safe Control for Uncertain Dynamic Models. CoRR abs/2209.06896 (2022) - [i4]Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu:
Safety Index Synthesis via Sum-of-Squares Programming. CoRR abs/2209.09134 (2022) - 2021
- [i3]Tianhao Wei, Changliu Liu:
Online Verification of Deep Neural Networks under Domain or Weight Shift. CoRR abs/2106.12732 (2021) - [i2]Tianhao Wei, Changliu Liu:
Safe Control with Neural Network Dynamic Models. CoRR abs/2110.01110 (2021)
2010 – 2019
- 2019
- [c4]Tianhao Wei, Changliu Liu:
Safe Control Algorithms Using Energy Functions: A Uni ed Framework, Benchmark, and New Directions. CDC 2019: 238-243 - [c3]Wenwen Si, Tianhao Wei, Changliu Liu:
AGen: Adaptable Generative Prediction Networks for Autonomous Driving. IV 2019: 281-286 - [i1]Tianhao Wei, Changliu Liu:
Safe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions. CoRR abs/1908.01883 (2019) - 2018
- [c2]Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, Liang Lin:
Flow Guided Recurrent Neural Encoder for Video Salient Object Detection. CVPR 2018: 3243-3252 - [c1]Yongqin Fu, Yuexuan Wang, Zhaoquan Gu, Xiaolin Zheng, Tianhao Wei, Zhen Cao, Heming Cui, Francis C. M. Lau:
How Local Information Improves Rendezvous in Cognitive Radio Networks. SECON 2018: 352-360
Coauthor Index
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last updated on 2024-09-07 00:57 CEST by the dblp team
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