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Jian Qian
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2020 – today
- 2024
- [c20]Jian Qian, Miao Sun, Sifan Zhou, Ziyu Zhao, Ruizhi Hun, Patrick Chiang:
Sub-SA: Strengthen In-Context Learning via Submodular Selective Annotation. ECAI 2024: 2034-2041 - [c19]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: 505-517 - [c18]Alekh Agarwal, Jian Qian, Alexander Rakhlin, Tong Zhang:
The Non-linear F-Design and Applications to Interactive Learning. ICML 2024 - [i18]Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin:
Online Estimation via Offline Estimation: An Information-Theoretic Framework. CoRR abs/2404.10122 (2024) - [i17]Jian Qian, Haichen Hu, David Simchi-Levi:
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff. CoRR abs/2405.17796 (2024) - [i16]Jian Qian, Miao Sun, Sifan Zhou, Biao Wan, Minhao Li, Patrick Chiang:
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation. CoRR abs/2407.04211 (2024) - [i15]Jian Qian, Miao Sun, Sifan Zhou, Ziyu Zhao, Ruizhi Hun, Patrick Chiang:
Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation. CoRR abs/2407.05693 (2024) - [i14]Jian Qian, Miao Sun, Ashley Lee, Jie Li, Shenglong Zhuo, Patrick Yin Chiang:
SDformer: Efficient End-to-End Transformer for Depth Completion. CoRR abs/2409.08159 (2024) - [i13]Fan Chen, Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu:
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability. CoRR abs/2410.05117 (2024) - [i12]Zeyu Jia, Jian Qian, Alexander Rakhlin, Chen-Yu Wei:
How Does Variance Shape the Regret in Contextual Bandits? CoRR abs/2410.12713 (2024) - [i11]Jian Qian, Alexander Rakhlin, Nikita Zhivotovskiy:
Refined Risk Bounds for Unbounded Losses via Transductive Priors. CoRR abs/2410.21621 (2024) - 2023
- [j2]Jian Qian
, Dewen Tang:
RRGA-Net: Robust Point Cloud Registration Based on Graph Convolutional Attention. Sensors 23(24): 9651 (2023) - [j1]Miao Sun
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): 1704-1708 (2023) - [c17]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: 1-2 - [c16]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: 715-725 - [c15]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: 738-748 - [c14]Dylan J. Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari:
Model-Free Reinforcement Learning with the Decision-Estimation Coefficient. NeurIPS 2023 - [c13]Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie:
Convex and Non-convex Optimization Under Generalized Smoothness. NeurIPS 2023 - [i10]Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie:
Convex and Non-Convex Optimization under Generalized Smoothness. CoRR abs/2306.01264 (2023) - 2022
- [c12]Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian:
Byzantine-Robust Federated Linear Bandits. CDC 2022: 5206-5213 - [c11]Zixiang Zhang, Li Yu, Jian Qian, Hongkui Wang:
Learning-Based Fast Depth Inter Coding for 3D-HEVC via XGBoost. DCC 2022: 43-52 - [i9]Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian:
Byzantine-Robust Federated Linear Bandits. CoRR abs/2204.01155 (2022) - [i8]Dylan J. Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari:
A Note on Model-Free Reinforcement Learning with the Decision-Estimation Coefficient. CoRR abs/2211.14250 (2022) - 2021
- [c10]Avrim Blum, Steve Hanneke, Jian Qian, Han Shao:
Robust learning under clean-label attack. COLT 2021: 591-634 - [c9]Hao Tao, Jian Qian, Li Yu, Hongkui Wang:
Bi-Prediction Enhancement with Deep Frame Prediction Network for Versatile Video Coding. DCC 2021: 374 - [c8]Jian Qian, Hongkui Wang, Li Yu:
Distortion-based Neural Network for Compression Artifacts Reduction in VVC. VCIP 2021: 1-5 - [i7]Avrim Blum, Steve Hanneke, Jian Qian, Han Shao:
Robust learning under clean-label attack. CoRR abs/2103.00671 (2021) - [i6]Dylan J. Foster, Sham M. Kakade, Jian Qian, Alexander Rakhlin:
The Statistical Complexity of Interactive Decision Making. CoRR abs/2112.13487 (2021) - 2020
- [c7]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: 547-551 - [c6]Xiaoyu Xu
Spatial-Temporal Fusion Convolutional Neural Network for Compressed Video Enhancement in HEVC. DCC 2020: 402 - [c5]Xiaoyu Xu
A Compact Deep Neural Network for Single Image Super-Resolution. MMM (2) 2020: 148-160 - [c4]Yi Tian, Jian Qian, Suvrit Sra:
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes. NeurIPS 2020 - [i5]Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric:
Concentration Inequalities for Multinoulli Random Variables. CoRR abs/2001.11595 (2020) - [i4]Yi Tian, Jian Qian, Suvrit Sra:
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes. CoRR abs/2006.13405 (2020) - [i3]Xuedong Shang, Han Shao, Jian Qian:
Stochastic Bandits with Vector Losses: Minimizing 𝓁∞-Norm of Relative Losses. CoRR abs/2010.08061 (2020)
2010 – 2019
- 2019
- [c3]Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White:
Importance Resampling for Off-policy Prediction. NeurIPS 2019: 1797-1807 - [c2]Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric:
Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs. NeurIPS 2019: 4891-4900 - [c1]Xiaoyu Xu
Dense Inception Attention Neural Network for In-Loop Filter. PCS 2019: 1-5 - [i2]Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White:
Importance Resampling for Off-policy Prediction. CoRR abs/1906.04328 (2019) - 2018
- [i1]Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric:
Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes. CoRR abs/1812.04363 (2018)
Coauthor Index
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last updated on 2024-12-01 00:19 CET by the dblp team
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