Zi Wang
41 papers · 2013–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 23 separate collaboration groups - the largest holds only 12% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Zi Wang?
10 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Stefanie Jegelka, Pushmeet Kohli, Bolei Zhou
4 papers
· 2016–2018
· AISTATS, ICML
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Batched Large-scale Bayesian Optimization in High-dimensional Spaces
AISTATS 2018
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
ICML 2017
Max-value Entropy Search for Efficient Bayesian Optimization
ICML 2017
Optimization as Estimation with Gaussian Processes in Bandit Settings
AISTATS 2016
13 papers whose co-authors appear nowhere else under this name
DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning
AAAI 2026
Dataset Distillation via Vision-Language Category Prototype
ICCV 2025
Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models
EMNLP 2025
REDUCR: Robust Data Downsampling using Class Priority Reweighting
NeurIPS 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
NeurIPS 2024
Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms
ICCV 2023
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
NeurIPS 2023
On Evaluating Multilingual Compositional Generalization with Translated Datasets
ACL 2023
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis
AAAI 2021
Learning Fast Converging, Effective Conditional Generative Adversarial Networks With a Mirrored Auxiliary Classifier
WACV 2021
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
ICML 2021
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization
ICML 2015
Scalable Inference for Logistic-Normal Topic Models
NeurIPS 2013