Zheng Wen - RankMe

63 papers A* 7A 8B 1Journal 37Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Capacity-Constrained Continual Learning. CoRR Zheng Wen, Doina Precup, Benjamin Van Roy, Satinder Singh
2025	—	`conf`	Enhanced Local and Global Feature Fusion for Vision Transformer-Based Self-Supervised Depth Estimation under Adverse Weather Conditions. WPMC Dingjie Peng, Zheng Wen, Wataru Kameyama
2025	—	`conf`	FVTVO: A FasterViT-Based Model for End-to-End Monocular Visual Odometry. WPMC Meize Chen, Dingjie Peng, Zhihe Zhang, Zheng Wen, Hiroshi Onoda, Jiang Liu
2025	—	`conf`	HS-VO: A Homogenized-Structural RGB-D Visual Odometry under Manhattan World Assumption. WPMC Zhihe Zhang, Jianing Zhang, Zheng Wen
2025	J	`jnl`	Impact of Shared Bicycle Spatial Patterns During Public Health Emergencies: A Case Study in the Core Area of Beijing. ISPRS Int. J. Geo Inf. Zheng Wen, Lujin Hu, Jing Hu
2025	J	`jnl`	Research on Symmetry Optimization of Designer Requirements and Prototyping Platform Functionality in the Context of Agile Development. Symmetry Zheng Wen, Jianming Yang, Bowen Sun, Yuanwei Liu
2025	J	`jnl`	Vehicle Tracking Using Shape-Dependent Mixture Model With Edge-Concentrated Measurements. IEEE Trans. Intell. Transp. Syst. Zheng Wen, Jian Lan, Le Zheng, Tao Zeng
2025	—	`conf`	Winning Brick by Brick with Daily Slices: A 94-Task Unified XGBoost Solution for Brick Schema Classification. WWW (Companion Volume) Meilan Xu, Zheng Wen, Xiuqing Xiang, Wenjie Fu, Bing Wang
2024	J	`jnl`	Evaluating Large Language Models on Financial Report Summarization: An Empirical Study. CoRR Xinqi Yang, Scott Zang, Yong Ren, Dingjie Peng, Zheng Wen
2024	J	`jnl`	Teamwork Reinforcement Learning With Concave Utilities. IEEE Trans. Mob. Comput. Zheng Yu, Junyu Zhang, Zheng Wen, Andrea Tacchetti, Mengdi Wang, Ian Gemp
2024	J	`jnl`	Velocity-Dependent Orientation Estimation Using Variance Adaptation for Extended Object Tracking. IEEE Signal Process. Lett. Zheng Wen, Jian Lan, Le Zheng, Tao Zeng
2022	J	`jnl`	Hyperspectral Image Classification Based on Multibranch Attention Transformer Networks. IEEE Trans. Geosci. Remote. Sens. Jing Bai, Zheng Wen, Zhu Xiao, Fawang Ye, Yongdong Zhu, Mamoun Alazab, Licheng Jiao
2022	A*	`conf`	Neural Contextual Bandits with Deep Representation and Shallow Exploration. ICLR Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu
2022	J	`jnl`	Spatial Interaction Analysis of Shared Bicycles Mobility Regularity and Determinants: A Case Study of Six Main Districts, Beijing. ISPRS Int. J. Geo Inf. Lujin Hu, Zheng Wen, Jian Wang, Jing Hu
2021	A*	`conf`	Joint Online Learning and Decision-making via Dual Mirror Descent. ICML Alfonso Lobos, Paul Grigas, Zheng Wen
2021	J	`jnl`	Joint Online Learning and Decision-making via Dual Mirror Descent. CoRR Alfonso Lobos, Paul Grigas, Zheng Wen
2021	J	`jnl`	On the Approximation Relationship between Optimizing Ratio of Submodular (RS) and Difference of Submodular (DS) Functions. CoRR Pierre Perrault, Jennifer Healey, Zheng Wen, Michal Valko
2021	J	`jnl`	Web Service Clustering Approach Based on Network and Fused Document-Based and Tag-Based Topics Similarity. Int. J. Web Serv. Res. Deng Li Ping, Guo Bing, Zheng Wen
2020	—	`conf`	A Benchmark and Baseline for Language-Driven Image Editing. ACCV (6) Jing Shi, Ning Xu, Trung Bui, Franck Dernoncourt, Zheng Wen, Chenliang Xu
2020	J	`jnl`	A Benchmark and Baseline for Language-Driven Image Editing. CoRR Jing Shi, Ning Xu, Trung Bui, Franck Dernoncourt, Zheng Wen, Chenliang Xu
2020	A*	`conf`	Budgeted Online Influence Maximization. ICML Pierre Perrault, Jennifer Healey, Zheng Wen, Michal Valko
2020	A*	`conf`	Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. ICML Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
2020	A*	`conf`	Improving Adversarial Text Generation by Modeling the Distant Future. ACL Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
2020	J	`jnl`	Improving Adversarial Text Generation by Modeling the Distant Future. CoRR Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin
2020	J	`jnl`	Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems. CoRR Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel
2020	A	`conf`	Nested-Wasserstein Self-Imitation Learning for Sequence Generation. AISTATS Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
2020	J	`jnl`	Nested-Wasserstein Self-Imitation Learning for Sequence Generation. CoRR Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
2020	J	`jnl`	Neural Contextual Bandits with Deep Representation and Shallow Exploration. CoRR Pan Xu, Zheng Wen, Handong Zhao, Quanquan Gu
2020	J	`jnl`	On the Sample Complexity of Reinforcement Learning with Policy Space Generalization. CoRR Wenlong Mou, Zheng Wen, Xi Chen
2020	A*	`conf`	Structured Policy Iteration for Linear Quadratic Regulator. ICML Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao
2020	J	`jnl`	Structured Policy Iteration for Linear Quadratic Regulator. CoRR Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao
2019	A	`conf`	Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank. UAI Gaurush Hiranandani, Harvineet Singh, Prakhar Gupta, Iftikhar Ahamath Burhanuddin, Zheng Wen, Branislav Kveton
2019	A	`conf`	Conservative Exploration using Interleaving. AISTATS Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru
2019	A	`conf`	Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit. AISTATS Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie
2019	A	`conf`	Scalable Thompson Sampling via Optimal Transport. AISTATS Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin
2019	J	`jnl`	Scalable Thompson Sampling via Optimal Transport. CoRR Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin
2018	J	`jnl`	Conservative Exploration using Interleaving. CoRR Sumeet Katariya, Branislav Kveton, Zheng Wen, Vamsi K. Potluru
2018	A	`conf`	Efficient online recommendation via low-rank ensemble sampling. RecSys Xiuyuan Lu, Zheng Wen, Branislav Kveton
2018	J	`jnl`	Nearly Optimal Adaptive Procedure for Piecewise-Stationary Bandit: a Change-Point Detection Approach. CoRR Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie
2018	J	`jnl`	Online Diverse Learning to Rank from Partial-Click Feedback. CoRR Prakhar Gupta, Gaurush Hiranandani, Harvineet Singh, Branislav Kveton, Zheng Wen, Iftikhar Ahamath Burhanuddin
2018	—	`conf`	SpectralLeader: Online Spectral Learning for Single Topic Models. ECML/PKDD (2) Tong Yu, Branislav Kveton, Zheng Wen, Hung Bui, Ole J. Mengshoel
2017	J	`jnl`	Code-Aided Channel Tracking and Decoding Over Sparse Fast-Fading Multipath Channels With an Application to Train Backbone Networks. IEEE Trans. Intell. Transp. Syst. Shahrouz Khalili, Jianghua Feng, Osvaldo Simeone, Jun Tang, Zheng Wen, Alexander M. Haimovich, MengChu Zhou
2017	—	`conf`	Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback. NIPS Zheng Wen, Branislav Kveton, Michal Valko, Sharan Vaswani
2017	—	`conf`	Profit Maximization for Online Advertising Demand-Side Platforms. ADKDD@KDD Paul Grigas, Alfonso Lobos, Zheng Wen, Kuang-Chih Lee
2017	J	`jnl`	Profit Maximization for Online Advertising Demand-Side Platforms. CoRR Paul Grigas, Alfonso Lobos, Zheng Wen, Kuang-Chih Lee
2017	J	`jnl`	SpectralFPL: Online Spectral Learning for Single Topic Models. CoRR Tong Yu, Branislav Kveton, Zheng Wen, Hung Bui, Ole J. Mengshoel
2016	A	`conf`	Cascading Bandits for Large-Scale Recommendation Problems. UAI Shi Zong, Hao Ni, Kenny Sung, Nan Rosemary Ke, Zheng Wen, Branislav Kveton
2016	J	`jnl`	Cascading Bandits for Large-Scale Recommendation Problems. CoRR Shi Zong, Hao Ni, Kenny Sung, Nan Rosemary Ke, Zheng Wen, Branislav Kveton
2016	J	`jnl`	Influence Maximization with Semi-Bandit Feedback. CoRR Zheng Wen, Branislav Kveton, Michal Valko
2016	J	`jnl`	Topology Discovery for Linear Wireless Networks With Application to Train Backbone Inauguration. IEEE Trans. Intell. Transp. Syst. Yu Liu, Jianghua Feng, Osvaldo Simeone, Jun Tang, Zheng Wen, Alexander M. Haimovich, MengChu Zhou
2015	A*	`conf`	Efficient Learning in Large-Scale Combinatorial Semi-Bandits. ICML Zheng Wen, Branislav Kveton, Azin Ashkan
2015	J	`jnl`	Exponential Weight Functions for Quasi-Proportional Auctions. CoRR Eric Bax, James Li, Zheng Wen
2015	J	`jnl`	Optimal Demand Response Using Device-Based Reinforcement Learning. IEEE Trans. Smart Grid Zheng Wen, Daniel O'Neill, Hamid Reza Maei
2015	J	`jnl`	Selecting Weight Functions to Spur Competition in Quasi-Proportional Auctions. CoRR Zheng Wen, Eric Bax, James Li
2015	J	`jnl`	Topology Discovery for Linear Wireless Networks with Application to Train Backbone Inauguration. CoRR Yu Liu, Jianghua Feng, Osvaldo Simeone, Jun Tang, Zheng Wen, Alexander M. Haimovich, MengChu Zhou
2014	J	`jnl`	Efficient Learning in Large-Scale Combinatorial Semi-Bandits. CoRR Zheng Wen, Azin Ashkan, Hoda Eydgahi, Branislav Kveton
2014	J	`jnl`	Learning to Act Greedily: Polymatroid Semi-Bandits. CoRR Branislav Kveton, Zheng Wen, Azin Ashkan, Michal Valko
2014	A	`conf`	Matroid Bandits: Fast Combinatorial Optimization with Learning. UAI Branislav Kveton, Zheng Wen, Azin Ashkan, Hoda Eydgahi, Brian Eriksson
2014	J	`jnl`	Matroid Bandits: Fast Combinatorial Optimization with Learning. CoRR Branislav Kveton, Zheng Wen, Azin Ashkan, Hoda Eydgahi, Brian Eriksson
2014	J	`jnl`	Optimal Demand Response Using Device Based Reinforcement Learning. CoRR Zheng Wen, Daniel O'Neill, Hamid Reza Maei
2013	—	`conf`	Sequential Bayesian Search. ICML (2) Zheng Wen, Branislav Kveton, Brian Eriksson, Sandilya Bhamidipati
2012	—	`conf`	A predictive adaptive load balancing model. FSKD Zheng Wen, Lei Shi, Runjie Liu, Lin Qi, Lin Wei
2007	B	`conf`	A Novel Synchronization Algorithm for IEEE802.11 TDMA Ad Hoc Network. MASS Zheng Wen, Ung Heo, Jaeho Choi