Fei Teng
10 papers · 2020–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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๐ Academic Marathon ยท Sprint ๐ Interdisciplinary Bridge ยท Bronze ๐บ๏ธ Taxonomy Completionist (29) ๐ Conference Polyglot ยท Silver ๐๏ธ Keyword Collector (59)
โ
The Questioner
๐
Renaissance Researcher
(5)
๐
Century Club ยท Bronze
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Learning Types ยท Machine Learning
(3)
Analysis
(2)
Domain-Specific
(2)
Learning Types ยท Deep Learning
(2)
Models
(2)
Resources & Methods
(2)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Keywords
multi-object tracking
(2)
large language model
(2)
quadruped robot
(2)
robust optimization
(1)
uncertainty quantification
(1)
object detection
(1)
probabilistic inference
(1)
in-context learning
(1)
prompt engineering
(1)
chain-of-thought reasoning
(1)
semantic parsing
(1)
point cloud
(1)
adversarial training
(1)
out-of-distribution generalization
(1)
empirical risk minimization
(1)
constrained optimization
(1)
time series prediction
(1)
constraint optimization
(1)
distribution shift
(1)
maximum entropy
(1)
Papers
Distribution Shift Is Key to Learning Invariant Prediction
AAAI 2026
Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction
AAAI 2026
Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation
ICCV 2025
Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models
ACL 2025
Omnidirectional Multi-Object Tracking
CVPR 2025
QuaDreamer: Controllable Panoramic Video Generation for Quadruped Robots
CoRL 2025
Can LLMs Learn from Previous Mistakes? Investigating LLMsโ Errors to Boost for Reasoning
ACL 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning
AAAI 2024
AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems
AAAI 2023
RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task
IJCAI 2020