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Jie Chen

161 papers · 2009–2026 · 21 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 55 separate collaboration groups - the largest holds only 29% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Jie Chen?

24 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

31 papers whose co-authors appear nowhere else under this name
ApET: Approximation-Error Guided Token Compression for Efficient VLMs CVPR 2026 CoCoVideo: The High-Quality Commercial-Model-Based Contrastive Benchmark for AI-Generated Video Detection CVPR 2026 CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection AAAI 2025 Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy AAAI 2025 GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning ICML 2025 Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems ICLR 2025 SAM2-ProMem: Enhancing Zero-Shot 3D Segmentation with Stochastic Propagation and Memory Search MICCAI 2025 Teaching Language Models to Critique via Reinforcement Learning ICML 2025 CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning AAAI 2024 Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data ACL 2024 Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NeurIPS 2024 Parameterized Approximation Schemes for Fair-Range Clustering NeurIPS 2024 A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening ICML 2023 Explain-then-translate: an analysis on improving program translation with self-generated explanations EMNLP 2023 GC-Flow: A Graph-Based Flow Network for Effective Clustering ICML 2023 Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning ICLR 2023 Detecting Ephemeral Optical Events with OpTel NSDI 2022 Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series ICLR 2022 Improving Mandarin Prosodic Structure Prediction with Multi-level Contextual Information Interspeech 2022 Robust Scene Text Detection via Learnable Scene Transformations ACML 2022 Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning ECCV 2022 A Partial Label Metric Learning Algorithm for Class Imbalanced Data ACML 2021 CentripetalText: An Efficient Text Instance Representation for Scene Text Detection NeurIPS 2021 Discrete Graph Structure Learning for Forecasting Multiple Time Series ICLR 2021 Dynamic visualization for L1 fusion convex clustering in near-linear time UAI 2021 Learning a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection CVPR 2020 Online Convex Optimization Over Erdos-Renyi Random Networks NeurIPS 2020 Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression AAAI 2020 Hierarchically Compositional Kernels for Scalable Nonparametric Learning JMLR 2017 Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin ICML 2016 Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System RSS 2013

Venues · all papers under this name

AAAI (32) CVPR (30) ICCV (15) ICML (12) ECCV (11) ICLR (11) NeurIPS (11) ACL (8) IJCAI (7) EMNLP (5) Interspeech (5) UAI (2) ACML (2) JMLR (2) NAACL (2) WACV (1) RSS (1) NSDI (1) MICCAI (1) EACL (1) AISTATS (1)