← Authors

Feng Chen

70 papers · 2013–2026 · 17 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (17) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer πŸ† Grand Slam πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (286) ⚑ Prolific Year (9) πŸš€ Conference Pioneer πŸ’Ž Century Club (67) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter ❓ The Questioner (3)

Conferences

NIPS (13) AAAI (12) ICML (8) ICLR (6) IJCAI (4) ICCV (4) ACL (4) EMNLP (3) CORL (3) INTERSPEECH (3) CVPR (2) AISTATS (2) ACML (2) COLING (1) MICCAI (1) NAACL (1) WACV (1)

Top co-authors

Tianren Zhang (7) Linlin Yu (6) Yizhou Jiang (5) Xujiang Zhao (5) Zongzhang Zhang (4) Changbin Li (4) Guanyu Chen (4) Bohan Zhuang (4) Lei Yuan (4) Yefei He (4)

Keywords

attention mechanism (6) uncertainty estimation (5) large language model (5) reinforcement learning (4) out-of-distribution detection (4) few-shot learning (3) automatic speech recognition (3) multi-agent reinforcement learning (3) semi-supervised learning (3) model-agnostic meta-learning (3) vision-language model (3) uncertainty quantification (3) mutual information (2) markov decision process (2) gradient descent (2) text summarization (2) adversarial attack (2) natural language generation (2) in-context learning (2) named entity recognition (2)

Papers

Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss AAAI 2026
OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs AAAI 2026
Evaluating, Synthesizing, and Enhancing for Customer Support Conversation AAAI 2026
Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt MICCAI 2025
Learning to Reuse Policies in State Evolvable Environments ICML 2025
When do neural networks learn world models? ICML 2025
ZipAR: Parallel Autoregressive Image Generation through Spatial Locality ICML 2025
Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function ICLR 2025
Neighboring Autoregressive Modeling for Efficient Visual Generation ICCV 2025
OURO: A Self-Bootstrapped Framework for Enhancing Multimodal Scene Understanding ICCV 2025
ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity ICCV 2025
Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them EMNLP 2025
HyperTASR: Hypernetwork-Driven Task-Aware Scene Representations for Robust Manipulation CORL 2025
Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis CVPR 2025
Large Language Models with Reinforcement Learning from Human Feedback Approach for Enhancing Explainable Sexism Detection COLING 2025
Evidential Uncertainty Probes for Graph Neural Networks AISTATS 2025
Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation ACL 2025
MFinMeeting: A Multilingual, Multi-Sector, and Multi-Task Financial Meeting Understanding Evaluation Dataset ACL 2025
Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025
BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving ACL 2025
GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration AAAI 2025
GMT: Guided Mask Transformer for Leaf Instance Segmentation WACV 2025
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize ICML 2024
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning NIPS 2024
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? EMNLP 2024
Uncertainty-aware Graph-based Hyperspectral Image Classification ICLR 2024
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty ICLR 2024
Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers ICLR 2024
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation ICML 2024
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms IJCAI 2024
Transmitted and Aggregated Self-Attention for Automatic Speech Recognition INTERSPEECH 2024
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission NAACL 2024
InterFormer: Interactive Local and Global Features Fusion for Automatic Speech Recognition INTERSPEECH 2023
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression NIPS 2023
Uncertainty-guided Learning for Improving Image Manipulation Detection ICCV 2023
Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization NIPS 2023
Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks NIPS 2023
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? ICLR 2023
Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning ACML 2023
Fast Counterfactual Inference for History-Based Reinforcement Learning AAAI 2023
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics NIPS 2023
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers AAAI 2023
Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract) AAAI 2023
Rethinking Speech Recognition with A Multimodal Perspective via Acoustic and Semantic Cooperative Decoding INTERSPEECH 2023
Learning to Branch with Tree MDPs NIPS 2022
Efficient Multi-agent Communication via Self-supervised Information Aggregation NIPS 2022
Interacting Attention Graph for Single Image Two-Hand Reconstruction CVPR 2022
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs AAAI 2022
Transferring Hierarchical Structures with Dual Meta Imitation Learning CORL 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information ICML 2022
Iterative Interactive Modeling for Knotting Plastic Bags CORL 2022
A Nested Bi-level Optimization Framework for Robust Few Shot Learning AAAI 2022
Multi-Agent Concentrative Coordination with Decentralized Task Representation IJCAI 2022
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021
Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation EMNLP 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning NIPS 2021
Local Aggressive Adversarial Attacks on 3D Point Cloud ACML 2021
A Double Phases Generation Network for Yes or No Question Generation (Student Abstract) AAAI 2021
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning NIPS 2020
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning NIPS 2020
Uncertainty Aware Semi-Supervised Learning on Graph Data NIPS 2020
Task Understanding from Confusing Multi-task Data ICML 2020
Uncovering Specific-Shape Graph Anomalies in Attributed Graphs AAAI 2019
Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization ICML 2019
Convolution with even-sized kernels and symmetric padding NIPS 2019
Training and Inference with Integers in Deep Neural Networks ICLR 2018
Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs IJCAI 2017
A Generalized Matching Pursuit Approach for Graph-Structured Sparsity IJCAI 2016
Variational Planning for Graph-based MDPs NIPS 2013