Jian Qian

According to our database, Jian Qian authored at least 34 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Refined Risk Bounds for Unbounded Losses via Transductive Priors.

Jian Qian, Alexander Rakhlin, Nikita Zhivotovskiy

CoRR, 2024

How Does Variance Shape the Regret in Contextual Bandits?

Zeyu Jia, Jian Qian, Alexander Rakhlin, Chen-Yu Wei

CoRR, 2024

Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability.

Fan Chen, Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu

CoRR, 2024

SDformer: Efficient End-to-End Transformer for Depth Completion.

Jian Qian, Miao Sun, Ashley Lee, Jie Li, Shenglong Zhuo, Patrick Yin Chiang

CoRR, 2024

TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation.

Jian Qian, Miao Sun, Sifan Zhou, Biao Wan, Minhao Li, Patrick Chiang

CoRR, 2024

Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff.

Jian Qian, Haichen Hu, David Simchi-Levi

CoRR, 2024

Online Estimation via Offline Estimation: An Information-Theoretic Framework.

Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin

CoRR, 2024

The Non-linear F-Design and Applications to Interactive Learning.

Alekh Agarwal, Jian Qian, Alexander Rakhlin, Tong Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TCEKG: A Temporal and Causal Event Knowledge Graph for Power Distribution Network Fault Diagnosis.

Feilong Liao, Jianye Huang, Qichuan Liu, Xinjie Peng, Bingqian Liu, Xinxin Wu, Jian Qian

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Sub-SA: Strengthen In-Context Learning via Submodular Selective Annotation.

Jian Qian, Miao Sun, Sifan Zhou, Ziyu Zhao, Ruizhi Hun, Patrick Chiang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

RRGA-Net: Robust Point Cloud Registration Based on Graph Convolutional Attention.

Jian Qian, Dewen Tang

Sensors, December, 2023

A 40nm 2TOPS/W Depth-Completion Neural Network Accelerator SoC With Efficient Depth Engine for Realtime LiDAR Systems.

Miao Sun, Yingjie Cao, Jian Qian, Jie Li, Sifan Zhou, Ziyu Zhao, Yifan Wu, Tao Xia, Yajie Qin, Lei Qiu, Shunli Ma, Patrick Yin Chiang, Shenglong Zhuo

IEEE Trans. Circuits Syst. II Express Briefs, May, 2023

Convex and Non-convex Optimization Under Generalized Smoothness.

Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Model-Free Reinforcement Learning with the Decision-Estimation Coefficient.

Dylan J. Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari

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.

Jianye Huang, Jian Qian, Yanyu Chen, Rui Lin, Yuyou Weng, Guoqing Lin, Zhihong Zhang

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.

Yanyu Chen, Jianye Huang, Jian Qian, Longqiang Yi, Jinhu Li, Jiangsheng Huang, Zhihong Zhang

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.

Yifan Wu, Sifan Zhou, Miao Sun, Tao Xia, Jian Qian, Lei Wang, Shi Shi, Lebei Cui, Chill Wang, Yuan Li, Hengwei Yu, Zhihong Lin, Lei Qiu, Yajie Qin, Min Sun, Rui Bai, Xuefeng Chen, Patrick Yin Chiang, Shenglong Zhuo

Proceedings of the IEEE Custom Integrated Circuits Conference, 2023

2022

A Note on Model-Free Reinforcement Learning with the Decision-Estimation Coefficient.

Dylan J. Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari

CoRR, 2022

Learning-Based Fast Depth Inter Coding for 3D-HEVC via XGBoost.

Zixiang Zhang, Li Yu, Jian Qian, Hongkui Wang

Proceedings of the Data Compression Conference, 2022

Byzantine-Robust Federated Linear Bandits.

Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

The Statistical Complexity of Interactive Decision Making.

Dylan J. Foster, Sham M. Kakade, Jian Qian, Alexander Rakhlin

CoRR, 2021

Distortion-based Neural Network for Compression Artifacts Reduction in VVC.

Jian Qian, Hongkui Wang, Li Yu

Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Bi-Prediction Enhancement with Deep Frame Prediction Network for Versatile Video Coding.

Hao Tao, Jian Qian, Li Yu, Hongkui Wang

Proceedings of the 31st Data Compression Conference, 2021

Robust learning under clean-label attack.

Avrim Blum, Steve Hanneke, Jian Qian, Han Shao

Proceedings of the Conference on Learning Theory, 2021

2020

Stochastic Bandits with Vector Losses: Minimizing 𝓁^∞-Norm of Relative Losses.

Xuedong Shang, Han Shao, Jian Qian

CoRR, 2020

Concentration Inequalities for Multinoulli Random Variables.

Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric

CoRR, 2020

Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes.

Yi Tian, Jian Qian, Suvrit Sra

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Compact Deep Neural Network for Single Image Super-Resolution.

Xiaoyu Xu, Jian Qian, Li Yu, Shengju Yu, Hao Tao, Ran Zhu

Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

Spatial-Temporal Fusion Convolutional Neural Network for Compressed Video Enhancement in HEVC.

Xiaoyu Xu, Jian Qian, Li Yu, Hongkui Wang, Hao Tao, Shengju Yu

Proceedings of the Data Compression Conference, 2020

Post-Processing Network Based on Dense Inception Attention for Video Compression.

Hao Tao, Jian Qian, Li Yu, Hongkui Wang, Wenhao Zhang, Zhengang Li, Ning Wang, Xing Zeng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Dense Inception Attention Neural Network for In-Loop Filter.

Xiaoyu Xu, Jian Qian, Li Yu, Hongkui Wang, Xing Zeng, Zhengang Li, Ning Wang

Proceedings of the Picture Coding Symposium, 2019

Importance Resampling for Off-policy Prediction.

Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White

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.

Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric

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.

Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric

CoRR, 2018