Zhe Wang
95 papers · 2015–2026 · 18 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π£ Hot Topic Early Bird
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(18)
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(12)
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(3)
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(10)
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Keyword Collector
(406)
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Prolific Year
(11)
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Century Club
(93)
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Unstoppable
(8)
Conferences
AAAI (18)
CVPR (16)
IJCAI (10)
NIPS (8)
ECCV (8)
ICCV (6)
ICLR (5)
EMNLP (4)
ICML (4)
ACL (4)
COLING (2)
AISTATS (2)
NAACL (2)
UAI (2)
ACML (1)
JMLR (1)
OSDI (1)
WACV (1)
Top co-authors
Research topics
Keywords
point cloud
(8)
nonconvex optimization
(7)
self-supervised learning
(7)
autonomous driving
(6)
large language model
(5)
3d object detection
(5)
medical imaging
(4)
semantic segmentation
(4)
reinforcement learning
(4)
adversarial attack
(4)
neural network
(4)
radiology report generation
(4)
convergence rate
(4)
graph neural network
(4)
convolutional neural network
(3)
object detection
(3)
attention mechanism
(3)
stochastic variance reduction
(3)
depth estimation
(3)
few-shot learning
(3)
Papers
Enhancing Reinforcement Learning for Radiology Report Generation with Evidence-aware Rewards and Self-correcting Preference Learning
ACL 2026
Gradient as Conditions: Rethinking HOG for All-in-one Image Restoration
AAAI 2026
Radiology Report Generation via Multi-objective Preference Optimization
AAAI 2025
Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning
AAAI 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
Online Iterative Self-Alignment for Radiology Report Generation
ACL 2025
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt. Generation for Enhanced LLM Content Moderation
ACL 2025
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation
EMNLP 2025
MamV2XCalib: V2X-based Target-less Infrastructure Camera Calibration with State Space Model
ICCV 2025
Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation
ICCV 2025
Augmented Adversarial Trigger Learning
NAACL 2025
FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers
ICCV 2025
Confusion is the Final Barrier: Rethinking Jailbreak Evaluation and Investigating the Real Misuse Threat of LLMs
EMNLP 2025
TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice
NAACL 2025
Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture
IJCAI 2025
TacoDepth: Towards Efficient Radar-Camera Depth Estimation with One-stage Fusion
CVPR 2025
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration
AAAI 2025
Learning-Order Autoregressive Models with Application to Molecular Graph Generation
ICML 2025
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
AAAI 2025
Attention Calibration for Disentangled Text-to-Image Personalization
CVPR 2024
S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes
CVPR 2024
MPOD123: One Image to 3D Content Generation Using Mask-enhanced Progressive Outline-to-Detail Optimization
CVPR 2024
SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection
ECCV 2024
nuCraft: Crafting High Resolution 3D Semantic Occupancy for Unified 3D Scene Understanding
ECCV 2024
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming
NIPS 2024
Simplified and Generalized Masked Diffusion for Discrete Data
NIPS 2024
A Tale of Two Paths: Toward a Hybrid Data Plane for Efficient Far-Memory Applications
OSDI 2024
Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning
IJCAI 2024
Magicoder: Empowering Code Generation with OSS-Instruct
ICML 2024
Idempotence and Perceptual Image Compression
ICLR 2024
Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix
AAAI 2024
Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering
AAAI 2024
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction
AAAI 2024
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval
COLING 2024
Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants
EMNLP 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators
EMNLP 2024
LPViT: Low-Power Semi-structured Pruning for Vision Transformers
ECCV 2024
Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
CVPR 2024
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
CVPR 2024
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks
ICCV 2023
PGrad: Learning Principal Gradients For Domain Generalization
ICLR 2023
Improving Interpretability via Explicit Word Interaction Graph Layer
AAAI 2023
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection
CVPR 2023
Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving
CVPR 2023
Better Embedding and More Shots for Few-shot Learning
IJCAI 2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
NIPS 2022
Towards Efficient 3D Object Detection with Knowledge Distillation
NIPS 2022
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data
NIPS 2022
Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge
AISTATS 2022
RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior
CVPR 2022
PPT: Token-Pruned Pose Transformer for Monocular and Multi-View Human Pose Estimation
ECCV 2022
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization
ECCV 2022
WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation
ECCV 2022
Learning Versatile Neural Architectures by Propagating Network Codes
ICLR 2022
ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning
UAI 2022
SSCAP: Self-Supervised Co-Occurrence Action Parsing for Unsupervised Temporal Action Segmentation
WACV 2022
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
CVPR 2021
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
AAAI 2021
Cross-Layer Distillation with Semantic Calibration
AAAI 2021
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos
AAAI 2021
ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection
CVPR 2021
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language
ECCV 2020
Query Answering with Guarded Existential Rules under Stable Model Semantics
AAAI 2020
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
AAAI 2020
Query Answering for Existential Rules via Efficient Datalog Rewriting
IJCAI 2020
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
IJCAI 2020
A Generalized Training Approach for Multiagent Learning
ICLR 2020
Reanalysis of Variance Reduced Temporal Difference Learning
ICLR 2020
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
CVPR 2020
Spectral Algorithms for Community Detection in Directed Networks
JMLR 2020
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms
NIPS 2020
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
CVPR 2020
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms
ICML 2020
CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization
ICCV 2019
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization
AISTATS 2019
SpiderBoost and Momentum: Faster Variance Reduction Algorithms
NIPS 2019
Multiple Empirical Kernel Learning with Discriminant Locality Preservation
ACML 2019
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
ICML 2019
Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method
AAAI 2019
Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability
AAAI 2019
A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes
AAAI 2019
Cubic Regularization with Momentum for Nonconvex Optimization
UAI 2019
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
CVPR 2019
Robust Multi-Modality Multi-Object Tracking
ICCV 2019
Pose Guided Human Video Generation
ECCV 2018
Scalable Rule Learning via Learning Representation
IJCAI 2018
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property
NIPS 2018
Eliminating Disjunctions in Answer Set Programming by Restricted Unfolding
IJCAI 2016
To Project More or to Quantize More: Minimize Reconstruction Bias for Learning Compact Binary Codes
IJCAI 2016
Real-Time Action Recognition With Enhanced Motion Vector CNNs
CVPR 2016
Chinese Poetry Generation with Planning based Neural Network
COLING 2016
Extending AGM Contraction to Arbitrary Logics
IJCAI 2015
Hamming Compatible Quantization for Hashing
IJCAI 2015
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
CVPR 2015