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.
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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
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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
AgentOCR: Reimagining Agent History via Optical Self-Compression
ACL 2026
Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention
ACL 2026
BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving
ACL 2025
GMT: Guided Mask Transformer for Leaf Instance Segmentation
WACV 2025
GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration
AAAI 2025
HyperTASR: Hypernetwork-Driven Task-Aware Scene Representations for Robust Manipulation
CoRL 2025
Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
MICCAI 2025
Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning
ACML 2023
Uncertainty-guided Learning for Improving Image Manipulation Detection
ICCV 2023
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs
AAAI 2022
Learning to Branch with Tree MDPs
NeurIPS 2022
A Double Phases Generation Network for Yes or No Question Generation (Student Abstract)
AAAI 2021
Local Aggressive Adversarial Attacks on 3D Point Cloud
ACML 2021
Variational Planning for Graph-based MDPs
NeurIPS 2013