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.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
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 Xue Geng, Jie Lin, Min Wu
7 papers
· 2015–2024
· ECCV, IJCAI, NeurIPS
Hide ▲
LPViT: Low-Power Semi-structured Pruning for Vision Transformers
ECCV 2024
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming
NeurIPS 2024
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks
ICCV 2023
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization
ECCV 2022
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
CVPR 2019
To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes
IJCAI 2016
Hamming Compatible Quantization for Hashing
IJCAI 2015
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