An l1 Regularization Framework for Optimal Rule Combination. - Yanjun Han; Jue Wang 004 (ECML/PKDD (1), 2009)

Face Sketch Synthesis via Sparse Representation. - Liang Chang 001; Mingquan Zhou; Yanjun Han; Xiaoming Deng 001 (ICPR, 2010)

Avoiding False Positive in Multi-Instance Learning. - Yanjun Han; Qing Tao; Jue Wang 004 (NIPS, 2010)

Face Sketch Synthesis via Multivariate Output Regression. - Liang Chang 001; Mingquan Zhou; Xiaoming Deng 001; Zhongke Wu; Yanjun Han (HCI (1), 2011)

A Boosting, Sparsity- Constrained Bilinear Model for Object Recognition. - Chunjie Zhang; Jing Liu 001; Qi Tian 001; Yanjun Han; Hanqing Lu; Songde Ma (IEEE Multim., 2012)

Accurate channel estimation based on Bayesian Compressive Sensing for next-generation wireless broadcasting systems. - Zhenkai Fan; Zhaohua Lu; Yanjun Han (BMSB, 2014)

Near-optimal signal detection with low complexity based on Gauss-Seidel method for uplink large-scale MIMO systems. - Xinyu Gao; Zhaohua Lu; Yanjun Han; Jiaqi Ning (BMSB, 2014)

Time-varying channel estimation based on dynamic compressive sensing for OFDM systems. - Yanjun Han; Peiyao Zhao; Lingzhi Sui; Zhenkai Fan (BMSB, 2014)

Fundamental localization accuracy in narrowband array-based systems. - Yanjun Han; Huadong Meng; Yuan Shen 001; Yimin Liu (ICASSP, 2014)

Performance Limits and Geometric Properties of Narrowband Array Localization. - Yanjun Han; Huadong Meng; Yuan Shen 001; Xiao-Ping Zhang 002 (CoRR, 2014)

Beyond Maximum Likelihood: from Theory to Practice. - Jiantao Jiao; Kartik Venkat; Yanjun Han; Tsachy Weissman (CoRR, 2014)

Does dirichlet prior smoothing solve the Shannon entropy estimation problem? - Yanjun Han; Jiantao Jiao; Tsachy Weissman (ISIT, 2015)

Adaptive estimation of Shannon entropy. - Yanjun Han; Jiantao Jiao; Tsachy Weissman (ISIT, 2015)

Minimax estimation of discrete distributions. - Yanjun Han; Jiantao Jiao; Tsachy Weissman (ISIT, 2015)

Maximum Likelihood Estimation of information measures. - Jiantao Jiao; Kartik Venkat; Yanjun Han; Tsachy Weissman (ISIT, 2015)

Minimax estimation of information measures. - Jiantao Jiao; Kartik Venkat; Yanjun Han; Tsachy Weissman (ISIT, 2015)

On the Ergodic Capacity of MIMO Free-Space Optical Systems Over Turbulence Channels. - Jiayi Zhang 001; Linglong Dai; Yanjun Han; Yu Zhang 050; Zhaocheng Wang 001 (IEEE J. Sel. Areas Commun., 2015)

Minimax Estimation of Discrete Distributions Under ℓ1 Loss. - Yanjun Han; Jiantao Jiao; Tsachy Weissman (IEEE Trans. Inf. Theory, 2015)

Minimax Estimation of Functionals of Discrete Distributions. - Jiantao Jiao; Kartik Venkat; Yanjun Han; Tsachy Weissman (IEEE Trans. Inf. Theory, 2015)

Beyond maximum likelihood: Boosting the Chow-Liu algorithm for large alphabets. - Jiantao Jiao; Yanjun Han; Tsachy Weissman (ACSSC, 2016)

Minimax estimation of the L1 distance. - Jiantao Jiao; Yanjun Han; Tsachy Weissman (ISIT, 2016)

Minimax rate-optimal estimation of KL divergence between discrete distributions. - Yanjun Han; Jiantao Jiao; Tsachy Weissman (ISITA, 2016)

Minimax Estimation of KL Divergence between Discrete Distributions. - Yanjun Han; Jiantao Jiao; Tsachy Weissman (CoRR, 2016)

Demystifying ResNet. - Sihan Li; Jiantao Jiao; Yanjun Han; Tsachy Weissman (CoRR, 2016)

Mutual Information Bounds via Adjacency Events. - Yanjun Han; Or Ordentlich; Ofer Shayevitz (IEEE Trans. Inf. Theory, 2016)

Performance Limits and Geometric Properties of Array Localization. - Yanjun Han; Yuan Shen 001; Xiao-Ping Zhang 002; Moe Z. Win; Huadong Meng (IEEE Trans. Inf. Theory, 2016)

Dependence measures bounding the exploration bias for general measurements. - Jiantao Jiao; Yanjun Han; Tsachy Weissman (ISIT, 2017)

Minimax Estimation of the $L_1$ Distance. - Jiantao Jiao; Yanjun Han; Tsachy Weissman (CoRR, 2017)

Bias Correction with Jackknife, Bootstrap, and Taylor Series. - Jiantao Jiao; Yanjun Han; Tsachy Weissman (CoRR, 2017)

On Estimation of L{r}-Norms in Gaussian White Noise Models. - Yanjun Han; Jiantao Jiao; Rajarshi Mukherjee; Tsachy Weissman (CoRR, 2017)

Optimal rates of entropy estimation over Lipschitz balls. - Yanjun Han; Jiantao Jiao; Tsachy Weissman; Yihong Wu 001 (CoRR, 2017)

Maximum Likelihood Estimation of Functionals of Discrete Distributions. - Jiantao Jiao; Kartik Venkat; Yanjun Han; Tsachy Weissman (IEEE Trans. Inf. Theory, 2017)

A Geometric Characterization of Fisher Information from Quantized Samples with Applications to Distributed Statistical Estimation. - Leighton Pate Barnes; Yanjun Han; Ayfer Özgür (Allerton, 2018)

Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. - Yanjun Han; Jiantao Jiao; Tsachy Weissman (COLT, 2018)

Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions. - Yanjun Han; Pritam Mukherjee; Ayfer Özgür; Tsachy Weissman (ISIT, 2018)

Entropy Rate Estimation for Markov Chains with Large State Space. - Yanjun Han; Jiantao Jiao; Chuan-Zheng Lee; Tsachy Weissman; Yihong Wu 001; Tiancheng Yu (NeurIPS, 2018)

The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. - Jiantao Jiao; Weihao Gao; Yanjun Han (NeurIPS, 2018)

Expectation of the Largest Betting Size in Labouchère System. - Yanjun Han; Guanyang Wang (CoRR, 2018)

Minimax Estimation of the L1 Distance. - Jiantao Jiao; Yanjun Han; Tsachy Weissman (IEEE Trans. Inf. Theory, 2018)

Fisher Information for Distributed Estimation under a Blackboard Communication Protocol. - Leighton Pate Barnes; Yanjun Han; Ayfer Özgür (ISIT, 2019)

Batched Multi-armed Bandits Problem. - Zijun Gao; Yanjun Han; Zhimei Ren; Zhengqing Zhou (NeurIPS, 2019)

Learning Distributions from their Samples under Communication Constraints. - Leighton Pate Barnes; Yanjun Han; Ayfer Özgür (CoRR, 2019)

Optimal Communication Rates for Zero-Error Distributed Simulation under Blackboard Communication Protocols. - Yanjun Han; Kedar Tatwawadi; Zhengqing Zhou; Gowtham R. Kurri; Vinod M. Prabhakaran; Tsachy Weissman (CoRR, 2019)

Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. - Jayadev Acharya; Clément L. Canonne; Yanjun Han; Ziteng Sun; Himanshu Tyagi (Electron. Colloquium Comput. Complex., 2019)

Estimating the Fundamental Limits is Easier Than Achieving the Fundamental Limits. - Jiantao Jiao; Yanjun Han; Irena Fischer-Hwang; Tsachy Weissman (IEEE Trans. Inf. Theory, 2019)

Constrained Functional Value under General Convexity Conditions with Applications to Distributed Simulation. - Yanjun Han (ISIT, 2020)

Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects. - Zijun Gao; Yanjun Han (NeurIPS, 2020)

The Optimality of Profile Maximum Likelihood in Estimating Sorted Discrete Distributions. - Yanjun Han; Kirankumar Shiragur (CoRR, 2020)

Sequential Batch Learning in Finite-Action Linear Contextual Bandits. - Yanjun Han; Zhengqing Zhou; Zhengyuan Zhou; Jose H. Blanchet; Peter W. Glynn; Yinyu Ye 001 (CoRR, 2020)

Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions. - Yanjun Han; Zhengyuan Zhou; Aaron Flores 001; Erik Ordentlich; Tsachy Weissman (CoRR, 2020)

Minimax Estimation of Divergences Between Discrete Distributions. - Yanjun Han; Jiantao Jiao; Tsachy Weissman (IEEE J. Sel. Areas Inf. Theory, 2020)

Bias Correction With Jackknife, Bootstrap, and Taylor Series. - Jiantao Jiao; Yanjun Han (IEEE Trans. Inf. Theory, 2020)

On the High Accuracy Limitation of Adaptive Property Estimation. - Yanjun Han (AISTATS, 2021)

Adversarial Combinatorial Bandits with General Non-linear Reward Functions. - Yanjun Han; Yining Wang; Xi Chen (ICML, 2021)

MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm. - Wei Zhang; Brendan Kitts; Yanjun Han; Zhengyuan Zhou; Tingyu Mao; Hao He; Shengjun Pan; Aaron Flores 001; San Gultekin; Tsachy Weissman (KDD, 2021)

On the Value of Interaction and Function Approximation in Imitation Learning. - Nived Rajaraman; Yanjun Han; Lin Yang 011; Jingbo Liu; Jiantao Jiao; Kannan Ramchandran (NeurIPS, 2021)

Ultra-wide Bandwidth Thin-film LiNbO3 Modulator with Record-Low Half-wave-voltage Length Product. - Xuecheng Liu; Bing Xiong 002; Changzheng Sun; Zhibiao Hao; Lai Wang; Jian Wang; Yanjun Han; Hongtao Li; Jiadong Yu; Yi Luo (OFC, 2021)

On the Competitive Analysis and High Accuracy Optimality of Profile Maximum Likelihood. - Yanjun Han; Kirankumar Shiragur (SODA, 2021)

Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally. - Nived Rajaraman; Yanjun Han; Lin F. Yang; Kannan Ramchandran; Jiantao Jiao (CoRR, 2021)

Geometric Lower Bounds for Distributed Parameter Estimation Under Communication Constraints. - Yanjun Han; Ayfer Özgür; Tsachy Weissman (IEEE Trans. Inf. Theory, 2021)

Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation. - Yanjun Han; Kedar Tatwawadi; Gowtham R. Kurri; Zhengqing Zhou; Vinod M. Prabhakaran; Tsachy Weissman (IEEE Trans. Inf. Theory, 2021)

Oracle-Efficient Online Learning for Smoothed Adversaries. - Nika Haghtalab; Yanjun Han; Abhishek Shetty; Kunhe Yang (NeurIPS, 2022)

Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits. - Yifei Wang 005; Tavor Z. Baharav; Yanjun Han; Jiantao Jiao; David Tse (NeurIPS, 2022)

Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. - Wei Zhang; Yanjun Han; Zhengyuan Zhou; Aaron Flores 001; Tsachy Weissman (NeurIPS, 2022)

A Highly Compact Thin-film Lithium Niobate Modulator with Low Half-wave Voltage. - Xuecheng Liu; Hao Liu; Bing Xiong 002; Changzheng Sun; Zhibiao Hao; Lai Wang; Jian Wang; Yanjun Han; Hongtao Li; Yi Luo (OFC, 2022)

Millimeter-scale Meandered Thin-film Lithium Niobate Modulator with 0.72- mathrm{V} mathrm{V} pi$. - Hao Liu; Xuecheng Liu; Bing Xiong 002; Changzheng Sun; Zhibiao Hao; Lai Wang; Jian Wang; Yanjun Han; Hongtao Li; Yi Luo (OECC/PSC, 2022)

On the Statistical Complexity of Sample Amplification. - Brian Axelrod; Shivam Garg 001; Yanjun Han; Vatsal Sharan; Gregory Valiant (CoRR, 2022)

Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries. - Nika Haghtalab; Yanjun Han; Abhishek Shetty; Kunhe Yang (CoRR, 2022)

Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits. - Yifei Wang 005; Tavor Z. Baharav; Yanjun Han; Jiantao Jiao; David Tse (CoRR, 2022)

Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient. - Dylan J. Foster; Noah Golowich; Yanjun Han (COLT, 2023)

Minimax optimal testing by classification. - Patrik R. Gerber; Yanjun Han; Yury Polyanskiy (COLT, 2023)

Learning and Collusion in Multi-unit Auctions. - Simina Brânzei; Mahsa Derakhshan; Negin Golrezaei; Yanjun Han (NeurIPS, 2023)

190 GHz Bandwidth Modified Uni-Traveling Carrier Photodiodes with High Saturation Power. - Yuxin Tian; Bing Xiong 002; Changzheng Sun; Zhibiao Hao; Jian Wang; Lai Wang; Yanjun Han; Hongtao Li; Lin Gan; Yi Luo (OFC, 2023)

Beyond UCB: Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits. - Nived Rajaraman; Yanjun Han; Jiantao Jiao; Kannan Ramchandran (CoRR, 2023)

B-spline freeform surface tailoring for prescribed irradiance based on differentiable ray-tracing. - Haoqiang Wang; Zihan Zang; Yunpeng Xu; Yanjun Han; Hongtao Li; Yi Luo (CoRR, 2023)

Online Learning in Multi-unit Auctions. - Simina Brânzei; Mahsa Derakhshan; Negin Golrezaei; Yanjun Han (CoRR, 2023)

Covariance alignment: from maximum likelihood estimation to Gromov-Wasserstein. - Yanjun Han; Philippe Rigollet; George Stepaniants (CoRR, 2023)

High-speed optoelectronic devices. - Yi Luo; Changzheng Sun; Bing Xiong 002; Jian Wang; Zhibiao Hao; Yanjun Han; Hongtao Li; Lai Wang (Sci. China Inf. Sci., 2023)

Optimal Prediction of Markov Chains With and Without Spectral Gap. - Yanjun Han; Soham Jana; Yihong Wu 001 (IEEE Trans. Inf. Theory, 2023)

On the Amortized Complexity of Approximate Counting. - Ishaq Aden-Ali; Yanjun Han; Jelani Nelson; Huacheng Yu (APPROX/RANDOM, 2024)

Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes. - Yanjun Han; Tianze Jiang; Yihong Wu 001 (COLT, 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)

Stochastic contextual bandits with graph feedback: from independence number to MAS number. - Yuxiao Wen; Yanjun Han; Zhengyuan Zhou (NeurIPS, 2024)

Ultra-Wide Bandwidth and High Saturation Power Uni-Traveling Carrier Photodiodes. - Bing Xiong 002; Yuxin Tian; Changzheng Sun; Zhibiao Hao; Jian Wang; Lai Wang; Yanjun Han; Hongtao Li; Lin Gan; Yi Luo (OFC, 2024)

Approximate independence of permutation mixtures. - Yanjun Han; Jonathan Niles-Weed (CoRR, 2024)

Dual-band 390 Gbps High Coupling Efficiency Thin Film Lithium Niobate Modulator with 3-dB Bandwidth Exceeding 110 GHz. - Yutong He; Hao Liu; Changzheng Sun; Bing Xiong 002; Zhibiao Hao; Lai Wang; Jian Wang; Yanjun Han; Hongtao Li; Lin Gan; Yi Luo (OFC, 2025)

200 GHz Bandwidth Ultrafast Evanescently Coupled Waveguide MUTC-PDs with High Responsivity. - Mingwei Sun; Bing Xiong 002; Changzheng Sun; Zhibiao Hao; Jian Wang; Lai Wang; Yanjun Han; Hongtao Li; Lin Gan; Yi Luo (OFC, 2025)

Optimal No-Regret Learning in Repeated First-Price Auctions. - Yanjun Han; Tsachy Weissman; Zhengyuan Zhou (Oper. Res., 2025)

Joint Value Estimation and Bidding in Repeated First-Price Auctions. - Yuxiao Wen; Yanjun Han; Zhengyuan Zhou (CoRR, 2025)

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