Jian Qian
Orcid: 0009-0007-2185-3968
According to our database1,
Jian Qian
authored at least 29 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff.
CoRR, 2024
CoRR, 2024
TCEKG: A Temporal and Causal Event Knowledge Graph for Power Distribution Network Fault Diagnosis.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
2023
Sensors, December, 2023
A 40nm 2TOPS/W Depth-Completion Neural Network Accelerator SoC With Efficient Depth Engine for Realtime LiDAR Systems.
IEEE Trans. Circuits Syst. II Express Briefs, May, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Improve Knowledge Graph Completion for Diagnosing Defects in Main Electrical Equipment.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
A Novel Approach to Analyzing Defects: Enhancing Knowledge Graph Embedding Models for Main Electrical Equipment.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
dToF LIDAR System Using Addressable Multi-Channel VCSEL Transmitter, 128x80 SPAD Sensor, and ML-Based Object Detection for Adaptive Beam-Steering.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2023
2022
A Note on Model-Free Reinforcement Learning with the Decision-Estimation Coefficient.
CoRR, 2022
Proceedings of the Data Compression Conference, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Proceedings of the International Conference on Visual Communications and Image Processing, 2021
Bi-Prediction Enhancement with Deep Frame Prediction Network for Versatile Video Coding.
Proceedings of the 31st Data Compression Conference, 2021
Proceedings of the Conference on Learning Theory, 2021
2020
Stochastic Bandits with Vector Losses: Minimizing 𝓁<sup>∞</sup>-Norm of Relative Losses.
CoRR, 2020
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020
Spatial-Temporal Fusion Convolutional Neural Network for Compressed Video Enhancement in HEVC.
Proceedings of the Data Compression Conference, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the Picture Coding Symposium, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes.
CoRR, 2018