Chong Wang

Taming System Complexity: Demystifying Software Engineering Agents in Diagnosing Linux Kernel Faults ACL 2026 UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks AAAI 2025 Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025 J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal Domain AAAI 2025 Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual CVPR 2025 Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization ACL 2025 Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code Repositories ACL 2025 CommVQ: Commutative Vector Quantization for KV Cache Compression ICML 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 STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning ECCV 2024 Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation 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 Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI CVPR 2024 CPM: Class-conditional Prompting Machine for Audio-visual Segmentation ECCV 2024 Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal ICCV 2023 DPAUC: Differentially Private AUC Computation in Federated Learning AAAI 2023 ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal CVPR 2023 BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification ICCV 2023 Learning Support and Trivial Prototypes for Interpretable Image Classification ICCV 2023 Efficient Attention via Control Variates ICLR 2023 PathFlow: A normalizing flow generator that finds transition paths UAI 2022 Linear Complexity Randomized Self-attention Mechanism ICML 2022 Fourier Learning with Cyclical Data ICML 2022 Label Leakage and Protection in Two-party Split Learning ICLR 2022 Differentially private multi-party data release for linear regression UAI 2022 Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data NIPS 2021 Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing ACL 2020 Discovery News: A Generic Framework for Financial News Recommendation AAAI 2020 Neural Logic Machines ICLR 2019 Rate Distortion For Model Compression:From Theory To Practice ICML 2019 Robust Deep Co-Saliency Detection with Group Semantic AAAI 2019 Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation ICCV 2019 Subgoal Discovery for Hierarchical Dialogue Policy Learning EMNLP 2018 Towards Neural Phrase-based Machine Translation ICLR 2018 Thoracic Disease Identification and Localization With Limited Supervision CVPR 2018 Sequence Modeling via Segmentations ICML 2017 Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NIPS 2017 Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin ICML 2016 Variance Reduction for Stochastic Gradient Optimization NIPS 2013 Modeling Overlapping Communities with Node Popularities NIPS 2013 An Adaptive Learning Rate for Stochastic Variational Inference ICML 2013 Stochastic Variational Inference JMLR 2013 Truncation-free Online Variational Inference for Bayesian Nonparametric Models NIPS 2012 Online Variational Inference for the Hierarchical Dirichlet Process AISTATS 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NIPS 2010 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NIPS 2009 Reading Tea Leaves: How Humans Interpret Topic Models NIPS 2009 Variational Inference for the Nested Chinese Restaurant Process NIPS 2009