FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction. - Hao Chen 062; Senzhang Wang; Zengde Deng; Xiaoming Zhang 001; Zhoujun Li 001 (PAKDD (1), 2019)

An Efficient Augmented Lagrangian Based Method for Constrained Lasso. - Zengde Deng; Anthony Man-Cho So (CoRR, 2019)

Voting-Based Multi-Agent Reinforcement Learning. - Yue Xu; Zengde Deng; Mengdi Wang; Wenjun Xu 001; Anthony Man-Cho So; Shuguang Cui (CoRR, 2019)

Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. - Xiao Li 009; Shixiang Chen; Zengde Deng; Qing Qu 001; Zhihui Zhu; Anthony Man-Cho So (CoRR, 2019)

Label-Aware Graph Convolutional Networks. - Hao Chen 062; Yue Xu; Feiran Huang; Zengde Deng; Wenbing Huang 001; Senzhang Wang; Peng He; Zhoujun Li 001 (CIKM, 2020)

A Fast Proximal Point Algorithm for Generalized Graph Laplacian Learning. - Zengde Deng; Anthony Man-Cho So (ICASSP, 2020)

An Efficient Augmented Lagrangian-Based Method for Linear Equality-Constrained Lasso. - Zengde Deng; Man-Chung Yue; Anthony Man-Cho So (ICASSP, 2020)

Single-Layer Graph Convolutional Networks For Recommendation. - Yue Xu; Hao Chen 062; Zengde Deng; Junxiong Zhu; Yanghua Li; Peng He; Wenyao Gao; Wenjun Xu 001 (CoRR, 2020)

Non-Recursive Graph Convolutional Networks. - Hao Chen 062; Zengde Deng; Yue Xu; Zhoujun Li 001 (ICASSP, 2021)

Sparse High-Order Portfolios Via Proximal Dca And Sca. - Jinxin Wang; Zengde Deng; Taoli Zheng; Anthony Man-Cho So (ICASSP, 2021)

Voting-Based Multiagent Reinforcement Learning for Intelligent IoT. - Yue Xu; Zengde Deng; Mengdi Wang; Wenjun Xu 001; Anthony Man-Cho So; Shuguang Cui (IEEE Internet Things J., 2021)

Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. - Xiao Li 009; Shixiang Chen; Zengde Deng; Qing Qu 001; Zhihui Zhu; Anthony Man-Cho So (SIAM J. Optim., 2021)

Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. - Shixiang Chen; Zengde Deng; Shiqian Ma; Anthony Man-Cho So (IEEE Trans. Signal Process., 2021)

Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function. - Qixin Zhang 001; Zengde Deng; Zaiyi Chen; Haoyuan Hu; Yu Yang 001 (ICML, 2022)

Continuous Submodular Maximization: Boosting via Non-oblivious Function. - Qixin Zhang 001; Zengde Deng; Zaiyi Chen; Yu Yang 001 (CoRR, 2022)

Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback. - Qixin Zhang 001; Zengde Deng; Zaiyi Chen; Kuangqi Zhou; Haoyuan Hu; Yu Yang 001 (CoRR, 2022)

Flattened Graph Convolutional Networks For Recommendation. - Yue Xu; Hao Chen 062; Zengde Deng; Yuanchen Bei; Feiran Huang (CoRR, 2022)

Neighbor enhanced graph convolutional networks for node classification and recommendation. - Hao Chen 062; Zhong Huang; Yue Xu; Zengde Deng; Feiran Huang; Peng He; Zhoujun Li 001 (Knowl. Based Syst., 2022)

Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback. - Qixin Zhang 001; Zengde Deng; Zaiyi Chen; Kuangqi Zhou; Haoyuan Hu; Yu Yang 001 (AISTATS, 2023)

Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. - Qixin Zhang 001; Zengde Deng; Xiangru Jian; Zaiyi Chen; Haoyuan Hu; Yu Yang 001 (CIKM, 2023)

An Online Algorithm for Chance Constrained Resource Allocation. - Yuwei Chen; Zengde Deng; Yinzhi Zhou; Zaiyi Chen; Yujie Chen; Haoyuan Hu (ICASSP, 2023)

Multi-channel Integrated Recommendation with Exposure Constraints. - Yue Xu; Qijie Shen; Jianwen Yin; Zengde Deng; Dimin Wang; Hao Chen 062; Lixiang Lai; Tao Zhuang; Junfeng Ge (KDD, 2023)

Decentralized Weakly Convex Optimization Over the Stiefel Manifold. - Jinxin Wang; Jiang Hu; Shixiang Chen; Zengde Deng; Anthony Man-Cho So (CoRR, 2023)

Practice Summary: Cainiao Optimizes the Fulfillment Routes of Parcels. - Biao Yuan; Zengde Deng; Na Geng; Yujie Chen; Haoyuan Hu (INFORMS J. Appl. Anal., 2023)

Decentralized Non-Smooth Optimization Over the Stiefel Manifold. - Jinxin Wang; Jiang Hu; Shixiang Chen; Zengde Deng; Anthony Man-Cho So (SAM, 2024)

Boosting Gradient Ascent for Continuous DR-submodular Maximization. - Qixin Zhang 001; Zongqi Wan; Zengde Deng; Zaiyi Chen; Xiaoming Sun 001; Jialin Zhang 001; Yu Yang 001 (CoRR, 2024)