Qinqing Zheng
12 papers · 2015–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10)
🏃
Academic Marathon
(10)
🐝
Cross-Pollinator
(12)
🌈
Renaissance Researcher
(6)
💎
Century Club
(12)
📈
Trend Setter
❓
The Questioner
🔥
Unstoppable
(6)
Conferences
ICML (5)
ICLR (3)
NIPS (2)
AISTATS (1)
JMLR (1)
Top co-authors
Research topics
Keywords
gaussian differential privacy
(2)
federated learning
(2)
offline reinforcement learning
(2)
sequence modeling
(1)
neural network training
(1)
sequential decision
(1)
adversarial robustness
(1)
convex optimization
(1)
tensor decomposition
(1)
gradient descent
(1)
algorithmic stability
(1)
minimax estimation
(1)
rank minimization
(1)
inverse dynamics
(1)
matrix completion
(1)
semidefinite programming
(1)
kronecker product
(1)
concentration inequality
(1)
low-rank tensor
(1)
semi-supervised learning
(1)
Papers
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
ICML 2025
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
ICLR 2025
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
ICLR 2024
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
ICML 2023
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
JMLR 2023
Latent State Marginalization as a Low-cost Approach for Improving Exploration
ICLR 2023
Online Decision Transformer
ICML 2022
Federated f-Differential Privacy
AISTATS 2021
Near-Optimal Confidence Sequences for Bounded Random Variables
ICML 2021
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
ICML 2020
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
NIPS 2015
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm
NIPS 2015