Yunlong Feng
21 papers · 2015–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Conference Polyglot (9)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π€
Dynamic Duo
(12)
ποΈ
Keyword Collector
(122)
β
The Questioner
β‘
Prolific Year
(8)
π
Century Club
(19)
π
Trend Setter
Conferences
COLING (4)
JMLR (4)
ACL (3)
EMNLP (3)
AAAI (2)
CONLL (1)
EACL (1)
ICCV (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(5)
language model
(3)
natural language processing
(2)
transition-based parser
(2)
reinforcement learning
(2)
convergence rate
(2)
reasoning capability
(2)
cross-lingual parsing
(2)
multi-task learning
(1)
transfer learning
(1)
benchmark evaluation
(1)
domain adaptation
(1)
image classification
(1)
text classification
(1)
non-convex optimization
(1)
knowledge distillation
(1)
model security
(1)
self-supervised learning
(1)
event camera
(1)
image generation
(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
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 Linear N-Point Solver for Structure and Motion from Asynchronous Tracks
ICCV 2025
Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistantsβ API Invocation Capabilities
COLING 2024
Improving Language Model Reasoning with Self-motivated Learning
COLING 2024
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
EMNLP 2024
AutoPSV: Automated Process-Supervised Verifier
NIPS 2024
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification
AAAI 2024
ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models
ACL 2024
Concise and Precise Context Compression for Tool-Using Language Models
ACL 2024
A Two-Stage Framework with Self-Supervised Distillation for Cross-Domain Text Classification
COLING 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
EMNLP 2020
HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser
CONLL 2020
Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization
JMLR 2019
Kernel Density Estimation for Dynamical Systems
JMLR 2018
Learning with the Maximum Correntropy Criterion Induced Losses for Regression
JMLR 2015