Jing Wu
32 papers · 2020–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (4)
🌍
Conference Polyglot
(13)
🏃
Academic Marathon
(5)
🤝
Dynamic Duo
(11)
🧬
Topic Evolution
💎
Century Club
(31)
🗃️
Keyword Collector
(146)
⚡
Prolific Year
(10)
🔥
Unstoppable
(6)
Conferences
ICCV (6)
AAAI (4)
ECCV (4)
WACV (4)
CVPR (3)
ICML (2)
IJCAI (2)
NIPS (2)
ACL (1)
COLING (1)
INTERSPEECH (1)
MICCAI (1)
NAACL (1)
Top co-authors
Research topics
Keywords
point cloud
(4)
generative adversarial network
(3)
machine unlearning
(3)
scene understanding
(3)
image synthesis
(2)
truncation trick
(2)
3d object detection
(2)
knowledge distillation
(2)
vision-language model
(2)
semantic segmentation
(2)
adversarial attack
(2)
hough voting
(2)
image generation
(1)
few-shot learning
(1)
image classification
(1)
feature learning
(1)
multi-task learning
(1)
representation learning
(1)
unsupervised learning
(1)
natural language processing
(1)
Papers
DIET: Machine Unlearning on a Data-Diet
AAAI 2026
MUNBa: Machine Unlearning via Nash Bargaining
ICCV 2025
Improve Speech Translation Through Text Rewrite
COLING 2025
RGB-D Video Mirror Detection
WACV 2025
An Interpretable and Crosslingual Method for Evaluating Second-Language Dialogues
NAACL 2025
Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning
MICCAI 2025
Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels
AAAI 2025
Erasing Undesirable Influence in Diffusion Models
CVPR 2025
Sparse Convolutional Networks for Surface Reconstruction From Noisy Point Clouds
WACV 2024
Concealing Sensitive Samples against Gradient Leakage in Federated Learning
AAAI 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
AAAI 2024
Improving Multilingual Text-to-Speech with Mixture-of-Language-Experts and Accent Disentanglement
INTERSPEECH 2024
Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling
ICML 2024
Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection
NIPS 2024
RSMPNet: Relationship Guided Semantic Map Prediction
WACV 2024
GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing
ECCV 2024
SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild
ECCV 2024
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks
ECCV 2024
Balanced Training for Sparse GANs
NIPS 2023
Better Simultaneous Translation with Monotonic Knowledge Distillation
ACL 2023
Feature Proliferation -- the "Cancer" in StyleGAN and its Treatments
ICCV 2023
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
ICCV 2023
Optimizing Crop Management with Reinforcement Learning and Imitation Learning
IJCAI 2023
AFPSNet: Multi-Class Part Parsing Based on Scaled Attention and Feature Fusion
WACV 2023
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
ICML 2022
Manifold Alignment for Semantically Aligned Style Transfer
ICCV 2021
MLVSNet: Multi-Level Voting Siamese Network for 3D Visual Tracking
ICCV 2021
VENet: Voting Enhancement Network for 3D Object Detection
ICCV 2021
A Survey on Universal Adversarial Attack
IJCAI 2021
Shonan Rotation Averaging: Global Optimality by Surfing SO(p)(n)
ECCV 2020
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
CVPR 2020
DaST: Data-Free Substitute Training for Adversarial Attacks
CVPR 2020