Qinqing Zheng - RankMe

30 papers A* 8A 1Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces. ICLR DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng
2025	A*	`conf`	Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning. ICML DiJia Su, Hanlin Zhu, Yingchen Xu, Jiantao Jiao, Yuandong Tian, Qinqing Zheng
2025	J	`jnl`	Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning. CoRR DiJia Su, Hanlin Zhu, Yingchen Xu, Jiantao Jiao, Yuandong Tian, Qinqing Zheng
2025	J	`jnl`	d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning. CoRR Siyan Zhao, Devaansh Gupta, Qinqing Zheng, Aditya Grover
2024	J	`jnl`	Diffusion World Model. CoRR Zihan Ding, Amy Zhang, Yuandong Tian, Qinqing Zheng
2024	A*	`conf`	Dual RL: Unification and New Methods for Reinforcement and Imitation Learning. ICLR Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum
2024	J	`jnl`	Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces. CoRR DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng
2024	J	`jnl`	Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback. CoRR Qinqing Zheng, Mikael Henaff, Amy Zhang, Aditya Grover, Brandon Amos
2023	J	`jnl`	Guided Flows for Generative Modeling and Decision Making. CoRR Qinqing Zheng, Matt Le, Neta Shaul, Yaron Lipman, Aditya Grover, Ricky T. Q. Chen
2023	A*	`conf`	Latent State Marginalization as a Low-cost Approach for Improving Exploration. ICLR Dinghuai Zhang, Aaron C. Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen
2023	J	`jnl`	Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? J. Mach. Learn. Res. Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie J. Su
2023	A*	`conf`	Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories. ICML Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
2022	J	`jnl`	ConserWeightive Behavioral Cloning for Reliable Offline Reinforcement Learning. CoRR Tung Nguyen, Qinqing Zheng, Aditya Grover
2022	J	`jnl`	Latent State Marginalization as a Low-cost Approach for Improving Exploration. CoRR Dinghuai Zhang, Aaron C. Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen
2022	A*	`conf`	Online Decision Transformer. ICML Qinqing Zheng, Amy Zhang, Aditya Grover
2022	J	`jnl`	Online Decision Transformer. CoRR Qinqing Zheng, Amy Zhang, Aditya Grover
2022	J	`jnl`	Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories. CoRR Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover
2021	J	`jnl`	A Theorem of the Alternative for Personalized Federated Learning. CoRR Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie J. Su
2021	J	`jnl`	Federated $f$-Differential Privacy. CoRR Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su
2021	A	`conf`	Federated f-Differential Privacy. AISTATS Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su
2021	A*	`conf`	Near-Optimal Confidence Sequences for Bounded Random Variables. ICML Arun K. Kuchibhotla, Qinqing Zheng
2020	J	`jnl`	Near-Optimal Confidence Sequences for Bounded Random Variables. CoRR Arun Kumar Kuchibhotla, Qinqing Zheng
2020	J	`jnl`	ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training. CoRR Qinqing Zheng, Bor-Yiing Su, Jiyan Yang, Alisson G. Azzolini, Qiang Wu, Ou Jin, Shri Karandikar, Hagay Lupesko, Liang Xiong, Eric Zhou
2020	A*	`conf`	Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion. ICML Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su
2020	J	`jnl`	Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion. CoRR Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su
2016	J	`jnl`	Convergence Analysis for Rectangular Matrix Completion Using Burer-Monteiro Factorization and Gradient Descent. CoRR Qinqing Zheng, John D. Lafferty
2015	—	`conf`	A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements. NIPS Qinqing Zheng, John D. Lafferty
2015	J	`jnl`	A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements. CoRR Qinqing Zheng, John D. Lafferty
2015	—	`conf`	Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm. NIPS Qinqing Zheng, Ryota Tomioka
2015	J	`jnl`	Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm. CoRR Qinqing Zheng, Ryota Tomioka