Yanjun Han - RankMe

127 papers A* 22A 2B 12C 1Misc 2Journal 74Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Interactive Learning of Single-Index Models via Stochastic Gradient Descent. CoRR Nived Rajaraman, Yanjun Han
2026	J	`jnl`	PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency. CoRR Zhangyi Liu, Huaizhi Qu, Xiaowei Yin, He Sun, Yanjun Han, Tianlong Chen, Zhun Deng
2026	J	`jnl`	Universal priors: solving empirical Bayes via Bayesian inference and pretraining. CoRR Nick Cannella, Anzo Teh, Yanjun Han, Yury Polyanskiy
2025	—	`conf`	200 GHz Bandwidth Ultrafast Evanescently Coupled Waveguide MUTC-PDs with High Responsivity. OFC Mingwei Sun, Bing Xiong, Changzheng Sun, Zhibiao Hao, Jian Wang, Lai Wang, Yanjun Han, Hongtao Li, Lin Gan, Yi Luo
2025	J	`jnl`	Besting Good-Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation. CoRR Yanjun Han, Jonathan Niles-Weed, Yandi Shen, Yihong Wu
2025	J	`jnl`	Covariance Alignment: From Maximum Likelihood Estimation to Gromov-Wasserstein. SIAM J. Math. Data Sci. Yanjun Han, Philippe Rigollet, George Stepaniants
2025	—	`conf`	Dual-band 390 Gbps High Coupling Efficiency Thin Film Lithium Niobate Modulator with 3-dB Bandwidth Exceeding 110 GHz. OFC Yutong He, Hao Liu, Changzheng Sun, Bing Xiong, Zhibiao Hao, Lai Wang, Jian Wang, Yanjun Han, Hongtao Li, Lin Gan, Yi Luo
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`	Joint Value Estimation and Bidding in Repeated First-Price Auctions. CoRR Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
2025	J	`jnl`	Optimal Arm Elimination Algorithms for Combinatorial Bandits. CoRR Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
2025	J	`jnl`	Optimal No-Regret Learning in Repeated First-Price Auctions. Oper. Res. Yanjun Han, Tsachy Weissman, Zhengyuan Zhou
2025	J	`jnl`	Sharp mean-field analysis of permutation mixtures and permutation-invariant decisions. CoRR Yiguo Liang, Yanjun Han
2024	J	`jnl`	Approximate independence of permutation mixtures. CoRR Yanjun Han, Jonathan Niles-Weed
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`	On the Amortized Complexity of Approximate Counting. APPROX/RANDOM Ishaq Aden-Ali, Yanjun Han, Jelani Nelson, Huacheng Yu
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	A*	`conf`	Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes. COLT Yanjun Han, Tianze Jiang, Yihong Wu
2024	J	`jnl`	Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes. CoRR Yanjun Han, Tianze Jiang, Yihong Wu
2024	A*	`conf`	Stochastic contextual bandits with graph feedback: from independence number to MAS number. NeurIPS Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
2024	J	`jnl`	Stochastic contextual bandits with graph feedback: from independence number to MAS number. CoRR Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
2024	—	`conf`	Ultra-Wide Bandwidth and High Saturation Power Uni-Traveling Carrier Photodiodes. OFC Bing Xiong, Yuxin Tian, Changzheng Sun, Zhibiao Hao, Jian Wang, Lai Wang, Yanjun Han, Hongtao Li, Lin Gan, Yi Luo
2023	—	`conf`	190 GHz Bandwidth Modified Uni-Traveling Carrier Photodiodes with High Saturation Power. OFC Yuxin Tian, Bing Xiong, Changzheng Sun, Zhibiao Hao, Jian Wang, Lai Wang, Yanjun Han, Hongtao Li, Lin Gan, Yi Luo
2023	J	`jnl`	B-spline freeform surface tailoring for prescribed irradiance based on differentiable ray-tracing. CoRR Haoqiang Wang, Zihan Zang, Yunpeng Xu, Yanjun Han, Hongtao Li, Yi Luo
2023	J	`jnl`	Beyond UCB: Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits. CoRR Nived Rajaraman, Yanjun Han, Jiantao Jiao, Kannan Ramchandran
2023	J	`jnl`	Covariance alignment: from maximum likelihood estimation to Gromov-Wasserstein. CoRR Yanjun Han, Philippe Rigollet, George Stepaniants
2023	J	`jnl`	High-speed optoelectronic devices. Sci. China Inf. Sci. Yi Luo, Changzheng Sun, Bing Xiong, Jian Wang, Zhibiao Hao, Yanjun Han, Hongtao Li, Lai Wang
2023	A*	`conf`	Learning and Collusion in Multi-unit Auctions. NeurIPS Simina Brânzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han
2023	A*	`conf`	Minimax optimal testing by classification. COLT Patrik R. Gerber, Yanjun Han, Yury Polyanskiy
2023	J	`jnl`	Minimax optimal testing by classification. CoRR Patrik Róbert Gerber, Yanjun Han, Yury Polyanskiy
2023	J	`jnl`	Online Learning in Multi-unit Auctions. CoRR Simina Brânzei, Mahsa Derakhshan, Negin Golrezaei, Yanjun Han
2023	J	`jnl`	Optimal Prediction of Markov Chains With and Without Spectral Gap. IEEE Trans. Inf. Theory Yanjun Han, Soham Jana, Yihong Wu
2023	A*	`conf`	Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient. COLT Dylan J. Foster, Noah Golowich, Yanjun Han
2023	J	`jnl`	Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient. CoRR Dylan J. Foster, Noah Golowich, Yanjun Han
2022	—	`conf`	A Highly Compact Thin-film Lithium Niobate Modulator with Low Half-wave Voltage. OFC Xuecheng Liu, Hao Liu, Bing Xiong, Changzheng Sun, Zhibiao Hao, Lai Wang, Jian Wang, Yanjun Han, Hongtao Li, Yi Luo
2022	A*	`conf`	Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits. NeurIPS Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse
2022	J	`jnl`	Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits. CoRR Yifei Wang, Tavor Z. Baharav, Yanjun Han, Jiantao Jiao, David Tse
2022	A*	`conf`	Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. NeurIPS Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman
2022	J	`jnl`	Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions. CoRR Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman
2022	—	`conf`	Millimeter-scale Meandered Thin-film Lithium Niobate Modulator with 0.72-\mathrm{V}\ \mathrm{V} \pi$. OECC/PSC Hao Liu, Xuecheng Liu, Bing Xiong, Changzheng Sun, Zhibiao Hao, Lai Wang, Jian Wang, Yanjun Han, Hongtao Li, Yi Luo
2022	J	`jnl`	Noise-immune image blur detection via sequency spectrum truncation. Complex Intell. Syst. Xiao Liang, Xuewei Wang, Litong Lyu, Yanjun Han, Jinjin Zheng, Wenwu Guo, Jingbo Guo
2022	J	`jnl`	On the Statistical Complexity of Sample Amplification. CoRR Brian Axelrod, Shivam Garg, Yanjun Han, Vatsal Sharan, Gregory Valiant
2022	J	`jnl`	On the amortized complexity of approximate counting. CoRR Ishaq Aden-Ali, Yanjun Han, Jelani Nelson, Huacheng Yu
2022	J	`jnl`	Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries. CoRR Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang
2022	A*	`conf`	Oracle-Efficient Online Learning for Smoothed Adversaries. NeurIPS Nika Haghtalab, Yanjun Han, Abhishek Shetty, Kunhe Yang
2021	A*	`conf`	Adversarial Combinatorial Bandits with General Non-linear Reward Functions. ICML Yanjun Han, Yining Wang, Xi Chen
2021	J	`jnl`	Adversarial Combinatorial Bandits with General Non-linear Reward Functions. CoRR Xi Chen, Yanjun Han, Yining Wang
2021	J	`jnl`	Geometric Lower Bounds for Distributed Parameter Estimation Under Communication Constraints. IEEE Trans. Inf. Theory Yanjun Han, Ayfer Özgür, Tsachy Weissman
2021	A*	`conf`	MEOW: A Space-Efficient Nonparametric Bid Shading Algorithm. KDD Wei Zhang, Brendan Kitts, Yanjun Han, Zhengyuan Zhou, Tingyu Mao, Hao He, Shengjun Pan, Aaron Flores, San Gultekin, Tsachy Weissman
2021	A*	`conf`	On the Competitive Analysis and High Accuracy Optimality of Profile Maximum Likelihood. SODA Yanjun Han, Kirankumar Shiragur
2021	A	`conf`	On the High Accuracy Limitation of Adaptive Property Estimation. AISTATS Yanjun Han
2021	A*	`conf`	On the Value of Interaction and Function Approximation in Imitation Learning. NeurIPS Nived Rajaraman, Yanjun Han, Lin Yang, Jingbo Liu, Jiantao Jiao, Kannan Ramchandran
2021	B	`conf`	Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation. ISIT Yanjun Han, Kedar Tatwawadi, Gowtham R. Kurri, Zhengqing Zhou, Vinod M. Prabhakaran, Tsachy Weissman
2021	J	`jnl`	Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation. IEEE Trans. Inf. Theory Yanjun Han, Kedar Tatwawadi, Gowtham R. Kurri, Zhengqing Zhou, Vinod M. Prabhakaran, Tsachy Weissman
2021	A*	`conf`	Optimal prediction of Markov chains with and without spectral gap. NeurIPS Yanjun Han, Soham Jana, Yihong Wu
2021	J	`jnl`	Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally. CoRR Nived Rajaraman, Yanjun Han, Lin F. Yang, Kannan Ramchandran, Jiantao Jiao
2021	—	`conf`	Ultra-wide Bandwidth Thin-film LiNbO3 Modulator with Record-Low Half-wave-voltage Length Product. OFC Xuecheng Liu, Bing Xiong, Changzheng Sun, Zhibiao Hao, Lai Wang, Jian Wang, Yanjun Han, Hongtao Li, Jiadong Yu, Yi Luo
2020	J	`jnl`	Bias Correction With Jackknife, Bootstrap, and Taylor Series. IEEE Trans. Inf. Theory Jiantao Jiao, Yanjun Han
2020	B	`conf`	Constrained Functional Value under General Convexity Conditions with Applications to Distributed Simulation. ISIT Yanjun Han
2020	J	`jnl`	Constrained Functional Value under General Convexity Conditions with Applications to Distributed Simulation. CoRR Yanjun Han
2020	A*	`conf`	Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. COLT Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi
2020	J	`jnl`	Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions. CoRR Yanjun Han, Zhengyuan Zhou, Aaron Flores, Erik Ordentlich, Tsachy Weissman
2020	J	`jnl`	Minimax Estimation of Divergences Between Discrete Distributions. IEEE J. Sel. Areas Inf. Theory Yanjun Han, Jiantao Jiao, Tsachy Weissman
2020	A*	`conf`	Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects. NeurIPS Zijun Gao, Yanjun Han
2020	J	`jnl`	On the High Accuracy Limitation of Adaptive Property Estimation. CoRR Yanjun Han
2020	J	`jnl`	Optimal No-regret Learning in Repeated First-price Auctions. CoRR Yanjun Han, Zhengyuan Zhou, Tsachy Weissman
2020	J	`jnl`	Sequential Batch Learning in Finite-Action Linear Contextual Bandits. CoRR Yanjun Han, Zhengqing Zhou, Zhengyuan Zhou, Jose H. Blanchet, Peter W. Glynn, Yinyu Ye
2020	J	`jnl`	The Optimality of Profile Maximum Likelihood in Estimating Sorted Discrete Distributions. CoRR Yanjun Han, Kirankumar Shiragur
2019	A*	`conf`	Batched Multi-armed Bandits Problem. NeurIPS Zijun Gao, Yanjun Han, Zhimei Ren, Zhengqing Zhou
2019	J	`jnl`	Batched Multi-armed Bandits Problem. CoRR Zijun Gao, Yanjun Han, Zhimei Ren, Zhengqing Zhou
2019	J	`jnl`	Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. CoRR Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi
2019	J	`jnl`	Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit. Electron. Colloquium Comput. Complex. Jayadev Acharya, Clément L. Canonne, Yanjun Han, Ziteng Sun, Himanshu Tyagi
2019	J	`jnl`	Estimating the Fundamental Limits is Easier Than Achieving the Fundamental Limits. IEEE Trans. Inf. Theory Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman
2019	B	`conf`	Fisher Information for Distributed Estimation under a Blackboard Communication Protocol. ISIT Leighton Pate Barnes, Yanjun Han, Ayfer Özgür
2019	J	`jnl`	Learning Distributions from their Samples under Communication Constraints. CoRR Leighton Pate Barnes, Yanjun Han, Ayfer Özgür
2019	J	`jnl`	Optimal Communication Rates for Zero-Error Distributed Simulation under Blackboard Communication Protocols. CoRR Yanjun Han, Kedar Tatwawadi, Zhengqing Zhou, Gowtham R. Kurri, Vinod M. Prabhakaran, Tsachy Weissman
2018	—	`conf`	A Geometric Characterization of Fisher Information from Quantized Samples with Applications to Distributed Statistical Estimation. Allerton Leighton Pate Barnes, Yanjun Han, Ayfer Özgür
2018	B	`conf`	Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions. ISIT Yanjun Han, Pritam Mukherjee, Ayfer Özgür, Tsachy Weissman
2018	A*	`conf`	Entropy Rate Estimation for Markov Chains with Large State Space. NeurIPS Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu
2018	J	`jnl`	Entropy Rate Estimation for Markov Chains with Large State Space. CoRR Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu
2018	J	`jnl`	Expectation of the Largest Betting Size in Labouchère System. CoRR Yanjun Han, Guanyang Wang
2018	A*	`conf`	Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints. COLT Yanjun Han, Ayfer Özgür, Tsachy Weissman
2018	J	`jnl`	Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints. CoRR Yanjun Han, Ayfer Özgür, Tsachy Weissman
2018	A*	`conf`	Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. COLT Yanjun Han, Jiantao Jiao, Tsachy Weissman
2018	J	`jnl`	Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance. CoRR Yanjun Han, Jiantao Jiao, Tsachy Weissman
2018	J	`jnl`	Minimax Estimation of the L IEEE Trans. Inf. Theory Jiantao Jiao, Yanjun Han, Tsachy Weissman
2018	A*	`conf`	The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. NeurIPS Jiantao Jiao, Weihao Gao, Yanjun Han
2017	J	`jnl`	Bias Correction with Jackknife, Bootstrap, and Taylor Series. CoRR Jiantao Jiao, Yanjun Han, Tsachy Weissman
2017	B	`conf`	Dependence measures bounding the exploration bias for general measurements. ISIT Jiantao Jiao, Yanjun Han, Tsachy Weissman
2017	J	`jnl`	Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits. CoRR Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman
2017	J	`jnl`	Maximum Likelihood Estimation of Functionals of Discrete Distributions. IEEE Trans. Inf. Theory Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
2017	J	`jnl`	Minimax Estimation of the $L_1$ Distance. CoRR Jiantao Jiao, Yanjun Han, Tsachy Weissman
2017	J	`jnl`	On Estimation of L CoRR Yanjun Han, Jiantao Jiao, Rajarshi Mukherjee, Tsachy Weissman
2017	J	`jnl`	Optimal rates of entropy estimation over Lipschitz balls. CoRR Yanjun Han, Jiantao Jiao, Tsachy Weissman, Yihong Wu
2017	J	`jnl`	The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. CoRR Jiantao Jiao, Weihao Gao, Yanjun Han
2016	Misc	`conf`	Beyond maximum likelihood: Boosting the Chow-Liu algorithm for large alphabets. ACSSC Jiantao Jiao, Yanjun Han, Tsachy Weissman
2016	J	`jnl`	Demystifying ResNet. CoRR Sihan Li, Jiantao Jiao, Yanjun Han, Tsachy Weissman
2016	J	`jnl`	Dependence Measures Bounding the Exploration Bias for General Measurements. CoRR Jiantao Jiao, Yanjun Han, Tsachy Weissman
2016	J	`jnl`	Minimax Estimation of KL Divergence between Discrete Distributions. CoRR Yanjun Han, Jiantao Jiao, Tsachy Weissman
2016	B	`conf`	Minimax estimation of the L1 distance. ISIT Jiantao Jiao, Yanjun Han, Tsachy Weissman
2016	C	`conf`	Minimax rate-optimal estimation of KL divergence between discrete distributions. ISITA Yanjun Han, Jiantao Jiao, Tsachy Weissman
2016	J	`jnl`	Mutual Information Bounds via Adjacency Events. IEEE Trans. Inf. Theory Yanjun Han, Or Ordentlich, Ofer Shayevitz
2016	J	`jnl`	Performance Limits and Geometric Properties of Array Localization. IEEE Trans. Inf. Theory Yanjun Han, Yuan Shen, Xiao-Ping Zhang, Moe Z. Win, Huadong Meng
2015	J	`jnl`	Adaptive Estimation of Shannon Entropy. CoRR Yanjun Han, Jiantao Jiao, Tsachy Weissman
2015	B	`conf`	Adaptive estimation of Shannon entropy. ISIT Yanjun Han, Jiantao Jiao, Tsachy Weissman
2015	J	`jnl`	Does Dirichlet Prior Smoothing Solve the Shannon Entropy Estimation Problem? CoRR Yanjun Han, Jiantao Jiao, Tsachy Weissman
2015	B	`conf`	Does dirichlet prior smoothing solve the Shannon entropy estimation problem? ISIT Yanjun Han, Jiantao Jiao, Tsachy Weissman
2015	B	`conf`	Maximum Likelihood Estimation of information measures. ISIT Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
2015	J	`jnl`	Minimax Estimation of Discrete Distributions Under ℓ IEEE Trans. Inf. Theory Yanjun Han, Jiantao Jiao, Tsachy Weissman
2015	J	`jnl`	Minimax Estimation of Functionals of Discrete Distributions. IEEE Trans. Inf. Theory Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
2015	B	`conf`	Minimax estimation of discrete distributions. ISIT Yanjun Han, Jiantao Jiao, Tsachy Weissman
2015	B	`conf`	Minimax estimation of information measures. ISIT Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
2015	J	`jnl`	On the Ergodic Capacity of MIMO Free-Space Optical Systems Over Turbulence Channels. IEEE J. Sel. Areas Commun. Jiayi Zhang, Linglong Dai, Yanjun Han, Yu Zhang, Zhaocheng Wang
2015	J	`jnl`	On the Ergodic Capacity of MIMO Free-Space Optical Systems over Turbulence Channels. CoRR Jiayi Zhang, Linglong Dai, Yanjun Han, Yu Zhang, Zhaocheng Wang
2014	—	`conf`	Accurate channel estimation based on Bayesian Compressive Sensing for next-generation wireless broadcasting systems. BMSB Zhenkai Fan, Zhaohua Lu, Yanjun Han
2014	J	`jnl`	Beyond Maximum Likelihood: from Theory to Practice. CoRR Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman
2014	Misc	`conf`	Fundamental localization accuracy in narrowband array-based systems. ICASSP Yanjun Han, Huadong Meng, Yuan Shen, Yimin Liu
2014	J	`jnl`	Minimax Estimation of Discrete Distributions under ℓ CoRR Yanjun Han, Jiantao Jiao, Tsachy Weissman
2014	—	`conf`	Near-optimal signal detection with low complexity based on Gauss-Seidel method for uplink large-scale MIMO systems. BMSB Xinyu Gao, Zhaohua Lu, Yanjun Han, Jiaqi Ning
2014	J	`jnl`	Performance Limits and Geometric Properties of Narrowband Array Localization. CoRR Yanjun Han, Huadong Meng, Yuan Shen, Xiao-Ping Zhang
2014	—	`conf`	Time-varying channel estimation based on dynamic compressive sensing for OFDM systems. BMSB Yanjun Han, Peiyao Zhao, Lingzhi Sui, Zhenkai Fan
2012	J	`jnl`	A Boosting, Sparsity- Constrained Bilinear Model for Object Recognition. IEEE Multim. Chunjie Zhang, Jing Liu, Qi Tian, Yanjun Han, Hanqing Lu, Songde Ma
2011	—	`conf`	Face Sketch Synthesis via Multivariate Output Regression. HCI (1) Liang Chang, Mingquan Zhou, Xiaoming Deng, Zhongke Wu, Yanjun Han
2010	—	`conf`	Avoiding False Positive in Multi-Instance Learning. NIPS Yanjun Han, Qing Tao, Jue Wang
2010	B	`conf`	Face Sketch Synthesis via Sparse Representation. ICPR Liang Chang, Mingquan Zhou, Yanjun Han, Xiaoming Deng
2009	—	`conf`	An l1 Regularization Framework for Optimal Rule Combination. ECML/PKDD (1) Yanjun Han, Jue Wang