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Chong Wang

52 papers · 2009–2025 · 13 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (16) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (13) πŸ—ΊοΈ Taxonomy Completionist (22) 🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (4) πŸ‘₯ Mega-Team (69) πŸ† Grand Slam 🌱 Topic Pioneer πŸ† Keyword Champion πŸ’Ž Century Club (52) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (57) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (10)

Conferences

NIPS (9) ICML (8) AAAI (6) ICLR (6) CVPR (5) ECCV (4) ICCV (4) ACL (3) AISTATS (2) UAI (2) EMNLP (1) JMLR (1) MICCAI (1)

Top co-authors

David M. Blei (6) Bihan Wen (6) Lanqing Guo (5) Yuanhong Chen (4) Gustavo Carneiro (4) Yuyuan Liu (4) Yufei Wang (4) Lihong Li (3) Ruoming Pang (3) Hu Wang (3)

Research topics

Differential Privacy (2) Bayesian & Probabilistic (1)

Keywords

variational inference (7) topic model (5) bayesian nonparametric (4) topic modeling (4) latent dirichlet allocation (4) hierarchical dirichlet process (4) diffusion model (3) differential privacy (3) image restoration (3) bayesian nonparametrics (3) unsupervised learning (3) online learning (3) probabilistic model (2) semantic segmentation (2) stochastic optimization (2) stochastic gradient descent (2) stochastic variational inference (2) weakly supervised learning (2) shadow removal (2) medical imaging (2)

Papers

CommVQ: Commutative Vector Quantization for KV Cache Compression ICML 2025
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025
UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks AAAI 2025
Instruction-Following Pruning for Large Language Models ICML 2025
Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity ICLR 2025
Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo ICLR 2025
Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual CVPR 2025
Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories ACL 2025
Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization ACL 2025
J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal Domain AAAI 2025
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI CVPR 2024
Cephalometric Landmark Detection across Ages with Prototypical Network MICCAI 2024
Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers ECCV 2024
"MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training" ECCV 2024
STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning ECCV 2024
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation ECCV 2024
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation CVPR 2024
Learning Support and Trivial Prototypes for Interpretable Image Classification ICCV 2023
Efficient Attention via Control Variates ICLR 2023
DPAUC: Differentially Private AUC Computation in Federated Learning AAAI 2023
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification ICCV 2023
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal CVPR 2023
Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal ICCV 2023
Differentially private multi-party data release for linear regression UAI 2022
Label Leakage and Protection in Two-party Split Learning ICLR 2022
Fourier Learning with Cyclical Data ICML 2022
Linear Complexity Randomized Self-attention Mechanism ICML 2022
PathFlow: A normalizing flow generator that finds transition paths UAI 2022
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data NIPS 2021
Discovery News: A Generic Framework for Financial News Recommendation AAAI 2020
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing ACL 2020
Robust Deep Co-Saliency Detection with Group Semantic AAAI 2019
Neural Logic Machines ICLR 2019
Rate Distortion For Model Compression:From Theory To Practice ICML 2019
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation ICCV 2019
Towards Neural Phrase-based Machine Translation ICLR 2018
Thoracic Disease Identification and Localization With Limited Supervision CVPR 2018
Subgoal Discovery for Hierarchical Dialogue Policy Learning EMNLP 2018
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NIPS 2017
Sequence Modeling via Segmentations ICML 2017
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin ICML 2016
An Adaptive Learning Rate for Stochastic Variational Inference ICML 2013
Variance Reduction for Stochastic Gradient Optimization NIPS 2013
Stochastic Variational Inference JMLR 2013
Modeling Overlapping Communities with Node Popularities NIPS 2013
Truncation-free Online Variational Inference for Bayesian Nonparametric Models NIPS 2012
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011
Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011
Fast Large-scale Mixture Modeling with Component-specific Data Partitions NIPS 2010
Reading Tea Leaves: How Humans Interpret Topic Models NIPS 2009
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NIPS 2009
Variational Inference for the Nested Chinese Restaurant Process NIPS 2009