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Feng Chen

77 papers · 2013–2026 · 17 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 25 separate collaboration groups - the largest holds only 27% 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 Feng Chen?

11 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.

with Linlin Yu, Xujiang Zhao, Kangshuo Li 21 papers · 2016–2026 · NeurIPS, ICLR, ACL Hide ▲
Uncertainty-Aware Test-Time Search for Optimization Problem Solving ACL 2026 Evidential Uncertainty Probes for Graph Neural Networks AISTATS 2025 Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection COLING 2025 Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation ACL 2025 Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function ICLR 2025 Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? EMNLP 2024 Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty ICLR 2024 Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms IJCAI 2024 Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission NAACL 2024 Uncertainty-aware Graph-based Hyperspectral Image Classification ICLR 2024 Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization NeurIPS 2023 A Nested Bi-level Optimization Framework for Robust Few Shot Learning AAAI 2022 PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information ICML 2022 Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation EMNLP 2021 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021 Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021 RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning NeurIPS 2021 Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning NeurIPS 2020 Uncertainty Aware Semi-Supervised Learning on Graph Data NeurIPS 2020 Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization ICML 2019 A Generalized Matching Pursuit Approach for Graph-Structured Sparsity IJCAI 2016
14 papers whose co-authors appear nowhere else under this name