Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes. - Jian Qian; Ronan Fruit; Matteo Pirotta; Alessandro Lazaric (CoRR, 2018)

Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs. - Jian Qian; Ronan Fruit; Matteo Pirotta; Alessandro Lazaric (NeurIPS, 2019)

Importance Resampling for Off-policy Prediction. - Matthew Schlegel; Wesley Chung; Daniel Graves; Jian Qian; Martha White (NeurIPS, 2019)

Dense Inception Attention Neural Network for In-Loop Filter. - Xiaoyu Xu; Jian Qian; Li Yu 003; Hongkui Wang; Xing Zeng; Zhengang Li; Ning Wang (PCS, 2019)

Post-Processing Network Based on Dense Inception Attention for Video Compression. - Hao Tao; Jian Qian; Li Yu 003; Hongkui Wang; Wenhao Zhang; Zhengang Li; Ning Wang; Xing Zeng (CVPR Workshops, 2020)

Spatial-Temporal Fusion Convolutional Neural Network for Compressed Video Enhancement in HEVC. - Xiaoyu Xu; Jian Qian; Li Yu 003; Hongkui Wang; Hao Tao; Shengju Yu (DCC, 2020)

A Compact Deep Neural Network for Single Image Super-Resolution. - Xiaoyu Xu; Jian Qian; Li Yu 003; Shengju Yu; Hao Tao; Ran Zhu (MMM (2), 2020)

Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes. - Yi Tian; Jian Qian; Suvrit Sra (NeurIPS, 2020)

Concentration Inequalities for Multinoulli Random Variables. - Jian Qian; Ronan Fruit; Matteo Pirotta; Alessandro Lazaric (CoRR, 2020)

Stochastic Bandits with Vector Losses: Minimizing 𝓁∞-Norm of Relative Losses. - Xuedong Shang; Han Shao; Jian Qian (CoRR, 2020)

Robust learning under clean-label attack. - Avrim Blum; Steve Hanneke; Jian Qian; Han Shao (COLT, 2021)

Bi-Prediction Enhancement with Deep Frame Prediction Network for Versatile Video Coding. - Hao Tao; Jian Qian; Li Yu 003; Hongkui Wang (DCC, 2021)

Distortion-based Neural Network for Compression Artifacts Reduction in VVC. - Jian Qian; Hongkui Wang; Li Yu 003 (VCIP, 2021)

The Statistical Complexity of Interactive Decision Making. - Dylan J. Foster; Sham M. Kakade; Jian Qian; Alexander Rakhlin (CoRR, 2021)

Byzantine-Robust Federated Linear Bandits. - Ali Jadbabaie; Haochuan Li; Jian Qian; Yi Tian (CDC, 2022)

Learning-Based Fast Depth Inter Coding for 3D-HEVC via XGBoost. - Zixiang Zhang; Li Yu 003; Jian Qian; Hongkui Wang (DCC, 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)

dToF LIDAR System Using Addressable Multi-Channel VCSEL Transmitter, 128x80 SPAD Sensor, and ML-Based Object Detection for Adaptive Beam-Steering. - Yifan Wu 009; Sifan Zhou; Miao Sun; Tao Xia; Jian Qian; Lei Wang 187; Shi Shi; Lebei Cui; Chill Wang; Yuan Li; Hengwei Yu; Zhihong Lin; et al. (CICC, 2023)

A Novel Approach to Analyzing Defects: Enhancing Knowledge Graph Embedding Models for Main Electrical Equipment. - Yanyu Chen; Jianye Huang 002; Jian Qian; Longqiang Yi; Jinhu Li; Jiangsheng Huang; Zhihong Zhang (ICIC (5), 2023)

Improve Knowledge Graph Completion for Diagnosing Defects in Main Electrical Equipment. - Jianye Huang 002; Jian Qian; Yanyu Chen; Rui Lin; Yuyou Weng; Guoqing Lin; Zhihong Zhang (ICIC (5), 2023)

Model-Free Reinforcement Learning with the Decision-Estimation Coefficient. - Dylan J. Foster; Noah Golowich; Jian Qian; Alexander Rakhlin; Ayush Sekhari (NeurIPS, 2023)

Convex and Non-convex Optimization Under Generalized Smoothness. - Haochuan Li; Jian Qian; Yi Tian; Alexander Rakhlin; Ali Jadbabaie (NeurIPS, 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 009; Tao Xia; Yajie Qin; Lei Qiu 002; Shunli Ma; Patrick Yin Chiang; et al. (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

RRGA-Net: Robust Point Cloud Registration Based on Graph Convolutional Attention. - Jian Qian; Dewen Tang (Sensors, 2023)

Sub-SA: Strengthen In-Context Learning via Submodular Selective Annotation. - Jian Qian; Miao Sun; Sifan Zhou; Ziyu Zhao; Ruizhi Hun; Patrick Chiang 001 (ECAI, 2024)

TCEKG: A Temporal and Causal Event Knowledge Graph for Power Distribution Network Fault Diagnosis. - Feilong Liao; Jianye Huang 002; Qichuan Liu; Xinjie Peng; Bingqian Liu; Xinxin Wu; Jian Qian (ICIC (12), 2024)

The Non-linear F-Design and Applications to Interactive Learning. - Alekh Agarwal; Jian Qian; Alexander Rakhlin; Tong Zhang 001 (ICML, 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 (NeurIPS, 2024)

Online Estimation via Offline Estimation: An Information-Theoretic Framework. - Dylan J. Foster; Yanjun Han; Jian Qian; Alexander Rakhlin (NeurIPS, 2024)

How Does Variance Shape the Regret in Contextual Bandits? - Zeyu Jia; Jian Qian; Alexander Rakhlin; Chen-Yu Wei (NeurIPS, 2024)

Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff. - Jian Qian; Haichen Hu; David Simchi-Levi (NeurIPS, 2024)

TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation. - Jian Qian; Miao Sun; Sifan Zhou; Biao Wan; Minhao Li; Patrick Chiang 001 (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)

Refined Risk Bounds for Unbounded Losses via Transductive Priors. - Jian Qian; Alexander Rakhlin; Nikita Zhivotovskiy (CoRR, 2024)

To bootstrap or to rollout? An optimal and adaptive interpolation. - Wenlong Mou; Jian Qian (CoRR, 2024)

Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem. - Zijun Gao; Shu Ge; Jian Qian (AISTATS, 2025)

PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram. - Sifan Zhou; Zhihang Yuan; Dawei Yang; Xing Hu 010; Jian Qian; Ziyu Zhao (CVPR, 2025)

The Photoacoustic Quality-Enhancement Neural Network Processor with the Scalable and End-to-End Architecture by Improving the Sparsity Level. - Miao Sun; Zhengyuan Zhang; Jie Ma; Caijie Liang; Boyi Dong; Yange Wang; Zhongzhiguang Lu; Yahui Li; Xiangjun Yin; Shenglong Zhuo; Yifan Wu 009; Yingjie Cao; et al. (ISCAS, 2025)

Application of Temporal Action Detection Technology in Abnormal Event Detection of Surveillance Video. - Chenxiang Lin; Teng Ma; Fei Wu; Jian Qian; Feilong Liao; Jinaye Huang (IEEE Access, 2025)

PINR: A physics-integrated neural representation for dynamic fluid scenes. - Ziyu Zhao; Sifan Zhou; Xiaobo Lu; Weili Zeng; Jian Qian (Neurocomputing, 2025)

Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits. - Yuzhou Gu; Yanjun Han; Jian Qian (CoRR, 2025)

BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification. - Jian Qian; Teck Lun Goh; Bingyu Xie; Chengyao Zhu; Biao Wan; Yawen Guan; Rachel Ding Chen; Patrick Yin Chiang (CoRR, 2025)