Yunlong Feng
20 papers · 2015–2026 · 10 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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🗺️ Taxonomy Completionist (54) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
(11)
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Renaissance Researcher
(7)
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The Questioner
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Prolific Year · Productive
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Century Club · Bronze
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Trend Setter
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Keyword Collector
(114)
Venues
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Research topics
Machine Learning
(13)
Artificial Intelligence
(10)
Natural Language Processing
(10)
Core AI
(10)
Learning Types · Machine Learning
(7)
Optimization & Theory
(7)
Applications
(5)
Core Methods
(5)
Resources & Methods
(5)
Deep Learning
(4)
Application Areas
(4)
Generation
(3)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Keywords
large language model
(5)
language model
(3)
reinforcement learning
(2)
natural language processing
(2)
convergence rate
(2)
reasoning capability
(2)
multi-task learning
(1)
benchmark evaluation
(1)
image classification
(1)
non-convex optimization
(1)
transfer learning
(1)
domain adaptation
(1)
knowledge distillation
(1)
text classification
(1)
model security
(1)
self-supervised learning
(1)
event camera
(1)
image generation
(1)
mathematical reasoning
(1)
motion estimation
(1)
Papers
SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning
EACL 2026
Towards Better Correctness and Efficiency in Code Generation
AAAI 2026
A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks
ICCV 2025
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits
COLING 2025
Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring
NAACL 2025
A Two-Stage Framework with Self-Supervised Distillation for Cross-Domain Text Classification
COLING 2024
AutoPSV: Automated Process-Supervised Verifier
NeurIPS 2024
Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants’ API Invocation Capabilities
COLING 2024
Concise and Precise Context Compression for Tool-Using Language Models
ACL 2024
Improving Language Model Reasoning with Self-motivated Learning
COLING 2024
ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models
ACL 2024
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
EMNLP 2024
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification
AAAI 2024
OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding
ACL 2023
N-LTP: An Open-source Neural Language Technology Platform for Chinese
EMNLP 2021
A Statistical Learning Approach to Modal Regression
JMLR 2020
HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser
CoNLL 2020
Sparse Kernel Regression with Coefficient-based ℓ_q-regularization
JMLR 2019
Kernel Density Estimation for Dynamical Systems
JMLR 2018
Learning with the Maximum Correntropy Criterion Induced Losses for Regression
JMLR 2015