Zhe Wang
96 papers · 2015–2026 · 18 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 32 separate collaboration groups - the largest holds only 23% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Zhe Wang?
12 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 Yingbin Liang, Yi Zhou, Kaiyi Ji
10 papers
· 2018–2020
· NeurIPS, ICML, IJCAI
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History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms
ICML 2020
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms
NeurIPS 2020
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
IJCAI 2020
Reanalysis of Variance Reduced Temporal Difference Learning
ICLR 2020
Spectral Algorithms for Community Detection in Directed Networks
JMLR 2020
Cubic Regularization with Momentum for Nonconvex Optimization
UAI 2019
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
ICML 2019
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
NeurIPS 2019
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization
AISTATS 2019
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property
NeurIPS 2018
20 papers whose co-authors appear nowhere else under this name
Gradient as Conditions: Rethinking HOG for All-in-one Image Restoration
AAAI 2026
Confusion is the Final Barrier: Rethinking Jailbreak Evaluation and Investigating the Real Misuse Threat of LLMs
EMNLP 2025
Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning
AAAI 2025
MultiAgentBench : Evaluating the Collaboration and Competition of LLM agents
ACL 2025
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration
AAAI 2025
Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture
IJCAI 2025
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction
AAAI 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators
EMNLP 2024
Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering
AAAI 2024
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval
COLING 2024
Magicoder: Empowering Code Generation with OSS-Instruct
ICML 2024
PPT: Token-Pruned Pose Transformer for Monocular and Multi-View Human Pose Estimation
ECCV 2022
SSCAP: Self-Supervised Co-Occurrence Action Parsing for Unsupervised Temporal Action Segmentation
WACV 2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
NeurIPS 2022
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
AAAI 2021
Cross-Layer Distillation with Semantic Calibration
AAAI 2021
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language
ECCV 2020
Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method
AAAI 2019
Multiple Empirical Kernel Learning with Discriminant Locality Preservation
ACML 2019
Chinese Poetry Generation with Planning based Neural Network
COLING 2016