Jian Qian

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 34

Top Topics

Graph Embedding

Reinforcement Learning

Markov Decision Processes

Top Venues

Publications

Jian Qian, Haichen Hu, David Simchi-Levi
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff. CoRR (2024)
Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin
Online Estimation via Offline Estimation: An Information-Theoretic Framework. CoRR (2024)
Jian Qian, Miao Sun, Sifan Zhou, Ziyu Zhao, Ruizhi Hun, Patrick Chiang
Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation. CoRR (2024)
Jian Qian, Miao Sun, Sifan Zhou, Biao Wan, Minhao Li, Patrick Chiang
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation. CoRR (2024)
Feilong Liao, Jianye Huang, Qichuan Liu, Xinjie Peng, Bingqian Liu, Xinxin Wu, Jian Qian
TCEKG: A Temporal and Causal Event Knowledge Graph for Power Distribution Network Fault Diagnosis. ICIC (12) (2024)
Jian Qian, Dewen Tang
RRGA-Net: Robust Point Cloud Registration Based on Graph Convolutional Attention. Sensors 23 (24) (2023)
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
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 70 (5) (2023)
Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie
Convex and Non-convex Optimization Under Generalized Smoothness. NeurIPS (2023)
Jianye Huang, Jian Qian, Yanyu Chen, Rui Lin, Yuyou Weng, Guoqing Lin, Zhihong Zhang
Improve Knowledge Graph Completion for Diagnosing Defects in Main Electrical Equipment. ICIC (5) (2023)
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
dToF LIDAR System Using Addressable Multi-Channel VCSEL Transmitter, 128x80 SPAD Sensor, and ML-Based Object Detection for Adaptive Beam-Steering. CICC (2023)
Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie
Convex and Non-Convex Optimization under Generalized Smoothness. CoRR (2023)
Dylan J. Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari
Model-Free Reinforcement Learning with the Decision-Estimation Coefficient. NeurIPS (2023)
Yanyu Chen, Jianye Huang, Jian Qian, Longqiang Yi, Jinhu Li, Jiangsheng Huang, Zhihong Zhang
A Novel Approach to Analyzing Defects: Enhancing Knowledge Graph Embedding Models for Main Electrical Equipment. ICIC (5) (2023)
Dylan J. Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari
A Note on Model-Free Reinforcement Learning with the Decision-Estimation Coefficient. CoRR (2022)
Zixiang Zhang, Li Yu, Jian Qian, Hongkui Wang
Learning-Based Fast Depth Inter Coding for 3D-HEVC via XGBoost. DCC (2022)
Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian
Byzantine-Robust Federated Linear Bandits. CDC (2022)
Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian
Byzantine-Robust Federated Linear Bandits. CoRR (2022)
Dylan J. Foster, Sham M. Kakade, Jian Qian, Alexander Rakhlin
The Statistical Complexity of Interactive Decision Making. CoRR (2021)
Jian Qian, Hongkui Wang, Li Yu
Distortion-based Neural Network for Compression Artifacts Reduction in VVC. VCIP (2021)
Avrim Blum, Steve Hanneke, Jian Qian, Han Shao
Robust learning under clean-label attack. COLT (2021)
Avrim Blum, Steve Hanneke, Jian Qian, Han Shao
Robust learning under clean-label attack. CoRR (2021)
Hao Tao, Jian Qian, Li Yu, Hongkui Wang
Bi-Prediction Enhancement with Deep Frame Prediction Network for Versatile Video Coding. DCC (2021)
Hao Tao, Jian Qian, Li Yu, Hongkui Wang, Wenhao Zhang, Zhengang Li, Ning Wang, Xing Zeng
Post-Processing Network Based on Dense Inception Attention for Video Compression. CVPR Workshops (2020)
Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
Concentration Inequalities for Multinoulli Random Variables. CoRR (2020)
Yi Tian, Jian Qian, Suvrit Sra
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes. CoRR (2020)
Yi Tian, Jian Qian, Suvrit Sra
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes. NeurIPS (2020)
Xiaoyu Xu, Jian Qian, Li Yu, Shengju Yu, Hao Tao, Ran Zhu
A Compact Deep Neural Network for Single Image Super-Resolution. MMM (2) (2020)
Xiaoyu Xu, Jian Qian, Li Yu, Hongkui Wang, Hao Tao, Shengju Yu
Spatial-Temporal Fusion Convolutional Neural Network for Compressed Video Enhancement in HEVC. DCC (2020)
Xuedong Shang, Han Shao, Jian Qian
-Norm of Relative Losses. CoRR (2020)
Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs. NeurIPS (2019)
Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White
Importance Resampling for Off-policy Prediction. NeurIPS (2019)
Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White
Importance Resampling for Off-policy Prediction. CoRR (2019)
Xiaoyu Xu, Jian Qian, Li Yu, Hongkui Wang, Xing Zeng, Zhengang Li, Ning Wang
Dense Inception Attention Neural Network for In-Loop Filter. PCS (2019)
Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes. CoRR (2018)