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Dinghuai Zhang
Observed name:
Zhang, Dinghuai
Observed institutions:
Microsoft (United States),
Peking University,
Mila - Quebec Artificial Intelligence Institute,
Université de Montréal
OpenAlex ID:
A5003913524
Out-of-Distribution Generalization via Risk Extrapolation (REx)
2020
·
Krueger, David
, Caballero, Ethan
, et al.
·
arXiv (Cornell University)
·
395
PDF
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
2021
·
Ahuja, Kartik
, Caballero, Ethan
, et al.
·
arXiv (Cornell University)
·
114
PDF
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
2020
·
Shi, Baifeng
, Zhang, Dinghuai
, et al.
·
ePrints Soton (University of Southampton)
·
80
PDF
Neural Approximate Sufficient Statistics for Implicit Models
2020
·
Chen, Yanzhi
, Zhang, Dinghuai
, et al.
·
ePrints Soton (University of Southampton)
·
25
PDF
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?
2021
·
Zhang, Dinghuai
, Ahuja, Kartik
, et al.
·
arXiv (Cornell University)
·
24
PDF
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework
2020
·
Zhang, Dinghuai
, Ye, Mao
, et al.
·
ePrints Soton (University of Southampton)
·
22
PDF
Building Robust Ensembles via Margin Boosting
2022
·
Zhang, Dinghuai
, Zhang, Hongyang
, et al.
·
arXiv (Cornell University)
·
8
PDF
Predictive Inference with Feature Conformal Prediction
2022
·
Teng, Jiaye
, Wen, Chuan
, et al.
·
arXiv (Cornell University)
·
6
PDF
Stochastic Generative Flow Networks
2023
·
Pan, Ling
, Zhang, Dinghuai
, et al.
·
arXiv (Cornell University)
·
3
PDF
Generative Augmented Flow Networks
2022
·
Pan, Ling
, Zhang, Dinghuai
, et al.
·
arXiv (Cornell University)
·
3
PDF
No Trick, No Treat: Pursuits and Challenges Towards Simulation-free Training of Neural Samplers
2025
·
He, Jiajun
, Du, Yuanqi
, et al.
·
arXiv (Cornell University)
·
2
PDF
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
2023
·
Zhang, Dinghuai
, Dai, Hanjun
, et al.
·
arXiv (Cornell University)
·
2
PDF
Better Training of GFlowNets with Local Credit and Incomplete Trajectories
2023
·
Pan, Ling
, Malkin, Nikolay
, et al.
·
arXiv (Cornell University)
·
2
PDF
GFlowNets and variational inference
2022
·
Whitammer, Esmeralda S.
, Lahlou, Salem
, et al.
·
arXiv (Cornell University)
·
2
PDF
Unifying Likelihood-free Inference with Black-box Sequence Design and Beyond.
2021
·
Dinghuai Zhang
, Jie Fu
, et al.
·
arXiv (Cornell University)
·
2
Filling the Soap Bubbles: Efficient Black-Box Adversarial Certification with Non-Gaussian Smoothing
2019
·
Dinghuai Zhang
, Mao Ye
, et al.
·
2
Nabla-R2D3: Effective and Efficient 3D Diffusion Alignment with 2D Rewards
2025
·
Qingming LIU
, Zhen Liu
, et al.
·
neural information processing systems
·
1
PDF
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets
2023
·
Yimu Wang
, Dinghuai Zhang
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
1
PDF
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
2021
·
Zhang, Dinghuai
, Fu, Jie
, et al.
·
arXiv (Cornell University)
·
1
PDF
Rare Event Analysis via Stochastic Optimal Control
2026
·
Du, Yuanqi
, He, Jiajun
, et al.
·
arXiv (Cornell University)
PDF
Test-time Recursive Thinking: Self-Improvement without External Feedback
2026
·
Zhuang, Yufan
, Singh, Chandan
, et al.
·
arXiv (Cornell University)
PDF
Generalized Dynamics Generation towards Scannable Physical World Model
2025
·
Li, Yichen
, Li, Zhiyi
, et al.
·
arXiv (Cornell University)
PDF
Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner
2025
·
Zhou, Cai
, Yang, Chenxiao
, et al.
·
arXiv (Cornell University)
PDF
Self-Evolving Curriculum for LLM Reasoning
2025
·
Chen, Xiaoyin
, Lu, Jiarui
, et al.
·
arXiv (Cornell University)
PDF
Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
2025
·
Cai Zhou
, Chenyu Wang
, et al.
·
neural information processing systems
PDF
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Works count:
30
Citation count:
695
H-index:
7
I10-index:
6
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