Jian Qian - RankMe

59 papers A* 12A 2B 3C 3Journal 32Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Achieving Optimal Static and Dynamic Regret Simultaneously in Bandits with Deterministic Losses. CoRR Jian Qian, Chen-Yu Wei
2026	J	`jnl`	Boosting for Vector-Valued Prediction and Conditional Density Estimation. CoRR Jian Qian, Shu Ge
2026	J	`jnl`	Data Reconstruction: Identifiability and Optimization with Sample Splitting. CoRR Yujie Shen, Zihan Wang, Jian Qian, Qi Lei
2026	J	`jnl`	Leave-One-Out Prediction for General Hypothesis Classes. CoRR Jian Qian, Jiachen Xu
2026	J	`jnl`	Predicting and improving test-time scaling laws via reward tail-guided search. CoRR Muheng Li, Jian Qian, Wenlong Mou
2026	J	`jnl`	Ratio Covers of Convex Sets and Optimal Mixture Density Estimation. CoRR Spencer Compton, Gábor Lugosi, Jaouad Mourtada, Jian Qian, Nikita Zhivotovskiy
2026	J	`jnl`	Refined Risk Bounds for Unbounded Losses via Transductive Priors. J. Mach. Learn. Res. Jian Qian, Alexander Rakhlin, Nikita Zhivotovskiy
2025	J	`jnl`	Application of Temporal Action Detection Technology in Abnormal Event Detection of Surveillance Video. IEEE Access Chenxiang Lin, Teng Ma, Fei Wu, Jian Qian, Feilong Liao, Jinaye Huang
2025	J	`jnl`	BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification. CoRR Jian Qian, Teck Lun Goh, Bingyu Xie, Chengyao Zhu, Biao Wan, Yawen Guan, Rachel Ding Chen, Patrick Yin Chiang
2025	A	`conf`	Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem. AISTATS Zijun Gao, Shu Ge, Jian Qian
2025	J	`jnl`	Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits. CoRR Yuzhou Gu, Yanjun Han, Jian Qian
2025	J	`jnl`	PINR: A physics-integrated neural representation for dynamic fluid scenes. Neurocomputing Ziyu Zhao, Sifan Zhou, Xiaobo Lu, Weili Zeng, Jian Qian
2025	A*	`conf`	PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram. CVPR Sifan Zhou, Zhihang Yuan, Dawei Yang, Xing Hu, Jian Qian, Ziyu Zhao
2025	C	`conf`	The Photoacoustic Quality-Enhancement Neural Network Processor with the Scalable and End-to-End Architecture by Improving the Sparsity Level. ISCAS Miao Sun, Zhengyuan Zhang, Jie Ma, Caijie Liang, Boyi Dong, Yange Wang, Zhongzhiguang Lu, Yahui Li, Xiangjun Yin, Shenglong Zhuo, Yifan Wu, Yingjie Cao, Tianyang Zhou, Jian Qian, Patrick Yin Chiang, Lei Qiu, Yuanjin Zheng
2024	A*	`conf`	Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability. NeurIPS Fan Chen, Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu
2024	J	`jnl`	Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability. CoRR Fan Chen, Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu
2024	A*	`conf`	How Does Variance Shape the Regret in Contextual Bandits? NeurIPS Zeyu Jia, Jian Qian, Alexander Rakhlin, Chen-Yu Wei
2024	J	`jnl`	How Does Variance Shape the Regret in Contextual Bandits? CoRR Zeyu Jia, Jian Qian, Alexander Rakhlin, Chen-Yu Wei
2024	A*	`conf`	Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff. NeurIPS Jian Qian, Haichen Hu, David Simchi-Levi
2024	J	`jnl`	Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff. CoRR Jian Qian, Haichen Hu, David Simchi-Levi
2024	A*	`conf`	Online Estimation via Offline Estimation: An Information-Theoretic Framework. NeurIPS Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin
2024	J	`jnl`	Online Estimation via Offline Estimation: An Information-Theoretic Framework. CoRR Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin
2024	J	`jnl`	Refined Risk Bounds for Unbounded Losses via Transductive Priors. CoRR Jian Qian, Alexander Rakhlin, Nikita Zhivotovskiy
2024	J	`jnl`	SDformer: Efficient End-to-End Transformer for Depth Completion. CoRR Jian Qian, Miao Sun, Ashley Lee, Jie Li, Shenglong Zhuo, Patrick Yin Chiang
2024	A	`conf`	Sub-SA: Strengthen In-Context Learning via Submodular Selective Annotation. ECAI Jian Qian, Miao Sun, Sifan Zhou, Ziyu Zhao, Ruizhi Hun, Patrick Chiang
2024	J	`jnl`	Sub-SA: Strengthen In-context Learning via Submodular Selective Annotation. CoRR Jian Qian, Miao Sun, Sifan Zhou, Ziyu Zhao, Ruizhi Hun, Patrick Chiang
2024	—	`conf`	TCEKG: A Temporal and Causal Event Knowledge Graph for Power Distribution Network Fault Diagnosis. ICIC (12) Feilong Liao, Jianye Huang, Qichuan Liu, Xinjie Peng, Bingqian Liu, Xinxin Wu, Jian Qian
2024	A*	`conf`	The Non-linear F-Design and Applications to Interactive Learning. ICML Alekh Agarwal, Jian Qian, Alexander Rakhlin, Tong Zhang
2024	J	`jnl`	TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation. CoRR Jian Qian, Miao Sun, Sifan Zhou, Biao Wan, Minhao Li, Patrick Chiang
2024	J	`jnl`	To bootstrap or to rollout? An optimal and adaptive interpolation. CoRR Wenlong Mou, Jian Qian
2023	J	`jnl`	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 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
2023	—	`conf`	A Novel Approach to Analyzing Defects: Enhancing Knowledge Graph Embedding Models for Main Electrical Equipment. ICIC (5) Yanyu Chen, Jianye Huang, Jian Qian, Longqiang Yi, Jinhu Li, Jiangsheng Huang, Zhihong Zhang
2023	J	`jnl`	Convex and Non-Convex Optimization under Generalized Smoothness. CoRR Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie
2023	A*	`conf`	Convex and Non-convex Optimization Under Generalized Smoothness. NeurIPS Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie
2023	—	`conf`	Improve Knowledge Graph Completion for Diagnosing Defects in Main Electrical Equipment. ICIC (5) Jianye Huang, Jian Qian, Yanyu Chen, Rui Lin, Yuyou Weng, Guoqing Lin, Zhihong Zhang
2023	A*	`conf`	Model-Free Reinforcement Learning with the Decision-Estimation Coefficient. NeurIPS Dylan J. Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari
2023	J	`jnl`	RRGA-Net: Robust Point Cloud Registration Based on Graph Convolutional Attention. Sensors Jian Qian, Dewen Tang
2023	—	`conf`	dToF LIDAR System Using Addressable Multi-Channel VCSEL Transmitter, 128x80 SPAD Sensor, and ML-Based Object Detection for Adaptive Beam-Steering. CICC 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
2022	J	`jnl`	A Note on Model-Free Reinforcement Learning with the Decision-Estimation Coefficient. CoRR Dylan J. Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari
2022	—	`conf`	Byzantine-Robust Federated Linear Bandits. CDC Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian
2022	J	`jnl`	Byzantine-Robust Federated Linear Bandits. CoRR Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian
2022	B	`conf`	Learning-Based Fast Depth Inter Coding for 3D-HEVC via XGBoost. DCC Zixiang Zhang, Li Yu, Jian Qian, Hongkui Wang
2021	B	`conf`	Bi-Prediction Enhancement with Deep Frame Prediction Network for Versatile Video Coding. DCC Hao Tao, Jian Qian, Li Yu, Hongkui Wang
2021	C	`conf`	Distortion-based Neural Network for Compression Artifacts Reduction in VVC. VCIP Jian Qian, Hongkui Wang, Li Yu
2021	A*	`conf`	Robust learning under clean-label attack. COLT Avrim Blum, Steve Hanneke, Jian Qian, Han Shao
2021	J	`jnl`	Robust learning under clean-label attack. CoRR Avrim Blum, Steve Hanneke, Jian Qian, Han Shao
2021	J	`jnl`	The Statistical Complexity of Interactive Decision Making. CoRR Dylan J. Foster, Sham M. Kakade, Jian Qian, Alexander Rakhlin
2020	—	`conf`	A Compact Deep Neural Network for Single Image Super-Resolution. MMM (2) Xiaoyu Xu, Jian Qian, Li Yu, Shengju Yu, Hao Tao, Ran Zhu
2020	J	`jnl`	Concentration Inequalities for Multinoulli Random Variables. CoRR Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
2020	—	`conf`	Post-Processing Network Based on Dense Inception Attention for Video Compression. CVPR Workshops Hao Tao, Jian Qian, Li Yu, Hongkui Wang, Wenhao Zhang, Zhengang Li, Ning Wang, Xing Zeng
2020	B	`conf`	Spatial-Temporal Fusion Convolutional Neural Network for Compressed Video Enhancement in HEVC. DCC Xiaoyu Xu, Jian Qian, Li Yu, Hongkui Wang, Hao Tao, Shengju Yu
2020	J	`jnl`	Stochastic Bandits with Vector Losses: Minimizing 𝓁 CoRR Xuedong Shang, Han Shao, Jian Qian
2020	A*	`conf`	Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes. NeurIPS Yi Tian, Jian Qian, Suvrit Sra
2020	J	`jnl`	Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes. CoRR Yi Tian, Jian Qian, Suvrit Sra
2019	C	`conf`	Dense Inception Attention Neural Network for In-Loop Filter. PCS Xiaoyu Xu, Jian Qian, Li Yu, Hongkui Wang, Xing Zeng, Zhengang Li, Ning Wang
2019	A*	`conf`	Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs. NeurIPS Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric
2019	A*	`conf`	Importance Resampling for Off-policy Prediction. NeurIPS Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White
2019	J	`jnl`	Importance Resampling for Off-policy Prediction. CoRR Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White
2018	J	`jnl`	Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes. CoRR Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric