Yun Chen
52 papers · 2016–2026 · 12 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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πΊοΈ Taxonomy Completionist (88) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(11)
π€
Dynamic Duo
(26)
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Topic Evolution
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Keyword Champion
(2)
π§
Keyword Pioneer
π₯
Unstoppable Β· Silver
β‘
Prolific Year Β· Prolific
ποΈ
Keyword Collector
(259)
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Renaissance Researcher
(6)
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Century Club Β· Silver
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Conference Pioneer
Venues
Top co-authors
Research topics
Artificial Intelligence
(29)
Machine Learning
(28)
Deep Learning
(27)
Core AI
(26)
Natural Language Processing
(23)
Learning Types Β· Deep Learning
(16)
Applications
(13)
Learning Types Β· Machine Learning
(13)
Application Areas
(11)
Resources & Methods
(11)
Computer Vision
(8)
Architectures
(8)
Models
(7)
Analysis
(6)
Domain-Specific
(6)
Keywords
large language model
(9)
neural machine translation
(8)
3d reconstruction
(5)
sensor simulation
(4)
neural rendering
(4)
text generation
(4)
cross-lingual transfer
(4)
vision-language model
(3)
multi-task learning
(3)
singular value decomposition
(3)
zero-shot learning
(3)
language model
(3)
autonomous driving
(3)
beam search
(3)
knowledge distillation
(3)
model compression
(3)
instruction tuning
(3)
data augmentation
(3)
parameter-efficient fine-tuning
(3)
instruction following
(2)
Papers
Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief
AAAI 2026
GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models
ACL 2026
InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning
ACL 2026
Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem
ACL 2026
SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks
ACL 2026
VFA: Empowering Multilingual MLLMs via Vision-Free Adaptation
ACL 2026
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
IJCAI 2025
FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only
ACL 2025
FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
NAACL 2025
G2: Guided Generation for Enhanced Output Diversity in LLMs
EMNLP 2025
GenAssets: Generating in-the-wild 3D Assets in Latent Space
CVPR 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
ACL 2025
LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy
NAACL 2025
MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
NAACL 2025
Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages
EMNLP 2025
SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters
NAACL 2025
Tag-Instruct: Controlled Instruction Complexity Enhancement through Structure-based Augmentation
ACL 2025
Training-Free Class Purification for Open-Vocabulary Semantic Segmentation
ICCV 2025
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models
NeurIPS 2024
Distract Large Language Models for Automatic Jailbreak Attack
EMNLP 2024
G3R: Gradient Guided Generalizable Reconstruction
ECCV 2024
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks
ACL 2024
PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning
ACL 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
NeurIPS 2024
Attention-based Interactive Disentangling Network for Instance-level Emotional Voice Conversion
Interspeech 2023
mCLIP: Multilingual CLIP via Cross-lingual Transfer
ACL 2023
Neural Lighting Simulation for Urban Scenes
NeurIPS 2023
Real-Time Neural Rasterization for Large Scenes
ICCV 2023
StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation
EMNLP 2023
UniSim: A Neural Closed-Loop Sensor Simulator
CVPR 2023
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation
CoRL 2022
Multilingual Sentence Transformer as A Multilingual Word Aligner
EMNLP 2022
Multitasking Framework for Unsupervised Simple Definition Generation
ACL 2022
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation
ACL 2022
XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation
EMNLP 2022
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving
CoRL 2021
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving
CVPR 2021
Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance
AAAI 2021
Zero-Shot Cross-Lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
EMNLP 2021
Accurate Word Alignment Induction from Neural Machine Translation
EMNLP 2020
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation
AACL 2020
DSDNet: Deep Structured self-Driving Network
ECCV 2020
Learning Lane Graph Representations for Motion Forecasting
ECCV 2020
Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation
IJCAI 2020
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT
ACL 2020
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop
CVPR 2020
Learning Joint 2D-3D Representations for Depth Completion
ICCV 2019
Multi-Task Multi-Sensor Fusion for 3D Object Detection
CVPR 2019
A Stable and Effective Learning Strategy for Trainable Greedy Decoding
EMNLP 2018
Meta-Learning for Low-Resource Neural Machine Translation
EMNLP 2018
A Teacher-Student Framework for Zero-Resource Neural Machine Translation
ACL 2017
An Improved 3D Geometric Tongue Model
Interspeech 2016