Chao Zhang - RankMe

48 papers A* 20A 2Journal 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conditional Sequence Modeling for Safe Reinforcement Learning. CoRR Wensong Bai, Chao Zhang, Qihang Xu, Chufan Chen, Chenhao Zhou, Hui Qian
2026	A*	`conf`	Mass Concept Erasure in Diffusion Models with Concept Hierarchy. AAAI Jiahang Tu, Ye Li, Yiming Wu, Hanbin Zhao, Chao Zhang, Hui Qian
2026	J	`jnl`	Mass Concept Erasure in Diffusion Models with Concept Hierarchy. CoRR Jiahang Tu, Ye Li, Yiming Wu, Hanbin Zhao, Chao Zhang, Hui Qian
2025	J	`jnl`	DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving Data Generation. ACM Trans. Multim. Comput. Commun. Appl. Jiahang Tu, Wei Ji, Hanbin Zhao, Chao Zhang, Roger Zimmermann, Hui Qian
2025	J	`jnl`	Efficient projection-free online convex optimization using stochastic gradients. Mach. Learn. Jiahao Xie, Chao Zhang, Zebang Shen, Hui Qian
2025	A*	`conf`	Efficiently Access Diffusion Fisher: Within the Outer Product Span Space. ICML Fangyikang Wang, Hubery Yin, Shaobin Zhuang, Huminhao Zhu, Yinan Li, Lei Qian, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
2025	J	`jnl`	Efficiently Access Diffusion Fisher: Within the Outer Product Span Space. CoRR Fangyikang Wang, Hubery Yin, Shaobin Zhuang, Huminhao Zhu, Yinan Li, Lei Qian, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
2025	A*	`conf`	TextToucher: Fine-Grained Text-to-Touch Generation. AAAI Jiahang Tu, Hao Fu, Fengyu Yang, Hanbin Zhao, Chao Zhang, Hui Qian
2025	J	`jnl`	Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin. CoRR Fangyikang Wang, Hubery Yin, Lei Qian, Yinan Li, Shaobin Zhuang, Huminhao Zhu, Yilin Zhang, Yanlong Tang, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
2025	J	`jnl`	Visuo-Tactile Class-Incremental Learning. ACM Trans. Multim. Comput. Commun. Appl. Hao Fu, Fengyu Yang, Boyang Wang, Wei Ji, Hanbin Zhao, Chao Zhang, Roger Zimmermann, Hui Qian
2024	A*	`conf`	APISR: Anime Production Inspired Real-World Anime Super-Resolution. CVPR Boyang Wang, Fengyu Yang, Xihang Yu, Chao Zhang, Hanbin Zhao
2024	J	`jnl`	APISR: Anime Production Inspired Real-World Anime Super-Resolution. CoRR Boyang Wang, Fengyu Yang, Xihang Yu, Chao Zhang, Hanbin Zhao
2024	J	`jnl`	BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models. CoRR Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
2024	A*	`conf`	GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. AAAI Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian
2024	J	`jnl`	GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. Entropy Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian
2024	J	`jnl`	Neural Sinkhorn Gradient Flow. CoRR Huminhao Zhu, Fangyikang Wang, Chao Zhang, Hanbin Zhao, Hui Qian
2024	J	`jnl`	TextToucher: Fine-Grained Text-to-Touch Generation. CoRR Jiahang Tu, Hao Fu, Fengyu Yang, Hanbin Zhao, Chao Zhang, Hui Qian
2023	J	`jnl`	Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. CoRR Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
2023	J	`jnl`	An Asynchronous Decentralized Algorithm for Wasserstein Barycenter Problem. CoRR Chao Zhang, Hui Qian, Jiahao Xie
2023	A*	`conf`	CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems. AAAI Jiahao Xie, Chao Zhang, Zebang Shen, Weijie Liu, Hui Qian
2023	J	`jnl`	GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework. CoRR Fangyikang Wang, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian
2023	J	`jnl`	PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm. CoRR Wensong Bai, Chao Zhang, Yichao Fu, Lingwei Peng, Hui Qian, Bin Dai
2023	A*	`conf`	Robust Graph Dictionary Learning. ICLR Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian
2023	A*	`conf`	Towards Optimal Randomized Strategies in Adversarial Example Game. AAAI Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian
2023	J	`jnl`	Towards Optimal Randomized Strategies in Adversarial Example Game. CoRR Jiahao Xie, Chao Zhang, Weijie Liu, Wensong Bai, Hui Qian
2022	A*	`conf`	DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. IJCAI Chao Zhang, Zhijian Li, Xin Du, Hui Qian
2022	A*	`conf`	From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs. AAAI Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen, Nenggan Zheng
2022	J	`jnl`	SIGMA: A Structural Inconsistency Reducing Graph Matching Algorithm. CoRR Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian
2021	J	`jnl`	A Federated Learning Framework for Nonconvex-PL Minimax Problems. CoRR Jiahao Xie, Chao Zhang, Yunsong Zhang, Zebang Shen, Hui Qian
2021	A*	`conf`	A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method. AAAI Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian
2021	J	`jnl`	Approximating Optimal Transport via Low-rank and Sparse Factorization. CoRR Weijie Liu, Chao Zhang, Nenggan Zheng, Hui Qian
2021	J	`jnl`	DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework. CoRR Chao Zhang, Zhijian Li, Hui Qian, Xin Du
2021	A*	`conf`	SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method. IJCAI Zhijian Li, Chao Zhang, Hui Qian, Xin Du, Lingwei Peng
2020	A*	`conf`	Accelerating Stratified Sampling SGD by Reconstructing Strata. IJCAI Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng
2020	A*	`conf`	Aggregated Gradient Langevin Dynamics. AAAI Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
2020	A*	`conf`	Efficient Projection-Free Online Methods with Stochastic Recursive Gradient. AAAI Jiahao Xie, Zebang Shen, Chao Zhang, Boyu Wang, Hui Qian
2020	J	`jnl`	Partial Gromov-Wasserstein Learning for Partial Graph Matching. CoRR Weijie Liu, Chao Zhang, Jiahao Xie, Zebang Shen, Hui Qian, Nenggan Zheng
2019	J	`jnl`	Aggregated Gradient Langevin Dynamics. CoRR Chao Zhang, Jiahao Xie, Zebang Shen, Peilin Zhao, Tengfei Zhou, Hui Qian
2019	A	`conf`	Decentralized Gradient Tracking for Continuous DR-Submodular Maximization. AISTATS Jiahao Xie, Chao Zhang, Zebang Shen, Chao Mi, Hui Qian
2019	J	`jnl`	Stochastic Recursive Gradient-Based Methods for Projection-Free Online Learning. CoRR Jiahao Xie, Zebang Shen, Chao Zhang, Hui Qian, Boyu Wang
2018	A*	`conf`	JUMP: a Jointly Predictor for User Click and Dwell Time. IJCAI Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou
2018	A	`conf`	Towards Memory-Friendly Deterministic Incremental Gradient Method. AISTATS Jiahao Xie, Hui Qian, Zebang Shen, Chao Zhang
2017	A*	`conf`	Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. IJCAI Zebang Shen, Hui Qian, Tongzhou Mu, Chao Zhang
2017	A*	`conf`	Tensor Completion with Side Information: A Riemannian Manifold Approach. IJCAI Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Congfu Xu
2016	J	`jnl`	Accelerated Stochastic ADMM with Variance Reduction. CoRR Chao Zhang, Zebang Shen, Hui Qian, Tengfei Zhou
2016	J	`jnl`	Accelerated Variance Reduced Block Coordinate Descent. CoRR Zebang Shen, Hui Qian, Chao Zhang, Tengfei Zhou
2014	A*	`conf`	Improving the modified nyström method using spectral shifting. KDD Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang
2014	A*	`conf`	Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. AAAI Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang