← Authors

Zhe Wang

94 papers · 2015–2026 · 18 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (8) πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (18) πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ† Keyword Champion (3) 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (406) ⚑ Prolific Year (11) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (93) πŸ”₯ Unstoppable (8)

Conferences

AAAI (18) CVPR (16) IJCAI (10) NIPS (8) ECCV (8) ICCV (6) ICLR (5) EMNLP (4) ICML (4) ACL (3) COLING (2) AISTATS (2) NAACL (2) UAI (2) ACML (1) JMLR (1) OSDI (1) WACV (1)

Top co-authors

Yingbin Liang (10) Jianping Shi (8) Yanjun Qi (8) Yi Zhou (8) Kewen Wang (6) Guosheng Lin (6) hongsheng Li (6) Ping Luo (5) mengping yang (5) Qin Zhou (5)

Research topics

Privacy (1)

Keywords

point cloud (8) nonconvex optimization (7) self-supervised learning (7) autonomous driving (6) 3d object detection (5) large language model (5) medical imaging (4) semantic segmentation (4) adversarial attack (4) graph neural network (4) convergence rate (4) neural network (4) convolutional neural network (3) object detection (3) attention mechanism (3) stochastic variance reduction (3) reinforcement learning (3) depth estimation (3) few-shot learning (3) model compression (3)

Papers

Gradient as Conditions: Rethinking HOG for All-in-one Image Restoration AAAI 2026
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration AAAI 2025
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities AAAI 2025
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
Augmented Adversarial Trigger Learning NAACL 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
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
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation EMNLP 2025
TacoDepth: Towards Efficient Radar-Camera Depth Estimation with One-stage Fusion CVPR 2025
Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt. Generation for Enhanced LLM Content Moderation ACL 2025
Online Iterative Self-Alignment for Radiology Report Generation ACL 2025
MultiAgentBench : Evaluating the Collaboration and Competition of LLM agents ACL 2025
TurboFuzzLLM: Turbocharging Mutation-based Fuzzing for Effectively Jailbreaking Large Language Models in Practice NAACL 2025
Learning-Order Autoregressive Models with Application to Molecular Graph Generation ICML 2025
Wave-wise Discriminative Tracking by Phase-Amplitude Separation, Augmentation and Mixture IJCAI 2025
Idempotence and Perceptual Image Compression ICLR 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
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
Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations CVPR 2024
Attention Calibration for Disentangled Text-to-Image Personalization CVPR 2024
RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding 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
nuCraft: Crafting High Resolution 3D Semantic Occupancy for Unified 3D Scene Understanding ECCV 2024
SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection ECCV 2024
LPViT: Low-Power Semi-structured Pruning for Vision Transformers ECCV 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024
Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants EMNLP 2024
Magicoder: Empowering Code Generation with OSS-Instruct ICML 2024
Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning IJCAI 2024
A Tale of Two Paths: Toward a Hybrid Data Plane for Efficient Far-Memory Applications OSDI 2024
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks ICCV 2023
Improving Interpretability via Explicit Word Interaction Graph Layer AAAI 2023
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection CVPR 2023
PGrad: Learning Principal Gradients For Domain Generalization ICLR 2023
Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving CVPR 2023
RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior CVPR 2022
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data NIPS 2022
ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning UAI 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
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering NIPS 2022
Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge AISTATS 2022
Better Embedding and More Shots for Few-shot Learning IJCAI 2022
SSCAP: Self-Supervised Co-Occurrence Action Parsing for Unsupervised Temporal Action Segmentation WACV 2022
Towards Efficient 3D Object Detection with Knowledge Distillation NIPS 2022
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization 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
Cross-Layer Distillation with Semantic Calibration AAAI 2021
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching CVPR 2021
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms ICML 2020
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language ECCV 2020
Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow AAAI 2020
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization IJCAI 2020
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection CVPR 2020
Learning Depth-Guided Convolutions for Monocular 3D Object Detection CVPR 2020
Query Answering for Existential Rules via Efficient Datalog Rewriting IJCAI 2020
Reanalysis of Variance Reduced Temporal Difference Learning ICLR 2020
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms NIPS 2020
Spectral Algorithms for Community Detection in Directed Networks JMLR 2020
Query Answering with Guarded Existential Rules under Stable Model Semantics AAAI 2020
A Generalized Training Approach for Multiagent Learning ICLR 2020
Robust Multi-Modality Multi-Object Tracking ICCV 2019
CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization ICCV 2019
SpiderBoost and Momentum: Faster Variance Reduction Algorithms NIPS 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
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization ICML 2019
Multiple Empirical Kernel Learning with Discriminant Locality Preservation ACML 2019
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization AISTATS 2019
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors CVPR 2019
Cubic Regularization with Momentum for Nonconvex Optimization UAI 2019
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property NIPS 2018
Scalable Rule Learning via Learning Representation IJCAI 2018
Pose Guided Human Video Generation ECCV 2018
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
Eliminating Disjunctions in Answer Set Programming by Restricted Unfolding IJCAI 2016
Chinese Poetry Generation with Planning based Neural Network COLING 2016
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection CVPR 2015
Hamming Compatible Quantization for Hashing IJCAI 2015
Extending AGM Contraction to Arbitrary Logics IJCAI 2015