Zengde Deng - RankMe

35 papers A* 2A 3Misc 6Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DreaMontage: Arbitrary Frame-Guided One-Shot Video Generation. CoRR Jiawei Liu, Junqiao Li, Jiangfan Deng, Gen Li, SiYu Zhou, Zetao Fang, Shanshan Lao, Zengde Deng, Jianing Zhu, Tingting Ma, Jiayi Li, Yunqiu Wang, Qian He, Xinglong Wu
2025	—	`conf`	Hardness-aware Privileged Features Distillation with Latent Alignment for CVR Prediction. KDD (2) Huining Yuan, Wenpeng Zhang, Zijie Hao, Zengde Deng
2024	J	`jnl`	Boosting Gradient Ascent for Continuous DR-submodular Maximization. CoRR Qixin Zhang, Zongqi Wan, Zengde Deng, Zaiyi Chen, Xiaoming Sun, Jialin Zhang, Yu Yang
2024	—	`conf`	Decentralized Non-Smooth Optimization Over the Stiefel Manifold. SAM Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So
2023	Misc	`conf`	An Online Algorithm for Chance Constrained Resource Allocation. ICASSP Yuwei Chen, Zengde Deng, Yinzhi Zhou, Zaiyi Chen, Yujie Chen, Haoyuan Hu
2023	J	`jnl`	An Online Algorithm for Chance Constrained Resource Allocation. CoRR Yuwei Chen, Zengde Deng, Yinzhi Zhou, Zaiyi Chen, Yujie Chen, Haoyuan Hu
2023	A	`conf`	Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CIKM Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang
2023	J	`jnl`	Decentralized Weakly Convex Optimization Over the Stiefel Manifold. CoRR Jinxin Wang, Jiang Hu, Shixiang Chen, Zengde Deng, Anthony Man-Cho So
2023	A*	`conf`	Multi-channel Integrated Recommendation with Exposure Constraints. KDD Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge
2023	J	`jnl`	Multi-channel Integrated Recommendation with Exposure Constraints. CoRR Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge
2023	A	`conf`	Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback. AISTATS Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang
2023	J	`jnl`	Practice Summary: Cainiao Optimizes the Fulfillment Routes of Parcels. INFORMS J. Appl. Anal. Biao Yuan, Zengde Deng, Na Geng, Yujie Chen, Haoyuan Hu
2022	J	`jnl`	Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. CoRR Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang
2022	J	`jnl`	Continuous Submodular Maximization: Boosting via Non-oblivious Function. CoRR Qixin Zhang, Zengde Deng, Zaiyi Chen, Yu Yang
2022	J	`jnl`	Flattened Graph Convolutional Networks For Recommendation. CoRR Yue Xu, Hao Chen, Zengde Deng, Yuanchen Bei, Feiran Huang
2022	J	`jnl`	Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation. CoRR Hao Chen, Zhong Huang, Yue Xu, Zengde Deng, Feiran Huang, Peng He, Zhoujun Li
2022	J	`jnl`	Neighbor enhanced graph convolutional networks for node classification and recommendation. Knowl. Based Syst. Hao Chen, Zhong Huang, Yue Xu, Zengde Deng, Feiran Huang, Peng He, Zhoujun Li
2022	J	`jnl`	Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback. CoRR Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang
2022	A*	`conf`	Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function. ICML Qixin Zhang, Zengde Deng, Zaiyi Chen, Haoyuan Hu, Yu Yang
2021	J	`jnl`	Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. IEEE Trans. Signal Process. Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So
2021	Misc	`conf`	Non-Recursive Graph Convolutional Networks. ICASSP Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li
2021	J	`jnl`	Non-Recursive Graph Convolutional Networks. CoRR Hao Chen, Zengde Deng, Yue Xu, Zhoujun Li
2021	Misc	`conf`	Sparse High-Order Portfolios Via Proximal Dca And Sca. ICASSP Jinxin Wang, Zengde Deng, Taoli Zheng, Anthony Man-Cho So
2021	J	`jnl`	Voting-Based Multiagent Reinforcement Learning for Intelligent IoT. IEEE Internet Things J. Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui
2021	J	`jnl`	Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods. SIAM J. Optim. Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So
2020	Misc	`conf`	A Fast Proximal Point Algorithm for Generalized Graph Laplacian Learning. ICASSP Zengde Deng, Anthony Man-Cho So
2020	Misc	`conf`	An Efficient Augmented Lagrangian-Based Method for Linear Equality-Constrained Lasso. ICASSP Zengde Deng, Man-Chung Yue, Anthony Man-Cho So
2020	A	`conf`	Label-Aware Graph Convolutional Networks. CIKM Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li
2020	J	`jnl`	Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. CoRR Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So
2020	J	`jnl`	Single-Layer Graph Convolutional Networks For Recommendation. CoRR Yue Xu, Hao Chen, Zengde Deng, Junxiong Zhu, Yanghua Li, Peng He, Wenyao Gao, Wenjun Xu
2019	J	`jnl`	An Efficient Augmented Lagrangian Based Method for Constrained Lasso. CoRR Zengde Deng, Anthony Man-Cho So
2019	—	`conf`	FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction. PAKDD (1) Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li
2019	Misc	`conf`	Manifold Proximal Point Algorithms for Dual Principal Component Pursuit and Orthogonal Dictionary Learning. ACSSC Shixiang Chen, Zengde Deng, Shiqian Ma, Anthony Man-Cho So
2019	J	`jnl`	Nonsmooth Optimization over Stiefel Manifold: Riemannian Subgradient Methods. CoRR Xiao Li, Shixiang Chen, Zengde Deng, Qing Qu, Zhihui Zhu, Anthony Man-Cho So
2019	J	`jnl`	Voting-Based Multi-Agent Reinforcement Learning. CoRR Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui