Yue Deng
26 papers · 2017–2026 · 11 conferences · across top CS/AI conferences
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ICLR (4)
IJCAI (4)
AAAI (3)
ACL (3)
ECCV (3)
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NAACL (2)
NIPS (2)
ICCV (1)
INTERSPEECH (1)
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Keywords
large language model
(4)
instruction tuning
(2)
model-based reinforcement learning
(2)
aspect-based sentiment analysis
(2)
multi-agent reinforcement learning
(2)
multilingual nlp
(2)
world model
(2)
spiking neural network
(2)
southeast asian language
(2)
diffusion model
(2)
low-resource language
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sequence labeling
(1)
knowledge editing
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data augmentation
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knowledge distillation
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domain adaptation
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adversarial learning
(1)
personalized generation
(1)
continued pretraining
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text classification
(1)
Papers
Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes
AAAI 2026
Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks
AAAI 2026
Bi-Spectrum Distillation: Addressing Spectral Mismatch in ANN-SNN Knowledge Transfer
AAAI 2026
Hybrid Regularization Improves Diffusion-based Inverse Problem Solving
ICLR 2025
Meetalk: Retrieval-Augmented and Adaptively Personalized Meeting Summarization with Knowledge Learning from User Corrections
ACL 2025
DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior
ICCV 2025
Value-aligned Behavior Cloning for Offline Reinforcement Learning via Bi-level Optimization
ICLR 2025
Physics-aligned field reconstruction with diffusion bridge
ICLR 2025
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages
NAACL 2025
When Fast Fourier Transform Meets Transformer for Image Restoration
ECCV 2024
Efficient Frequency-Domain Image Deraining with Contrastive Regularization
ECCV 2024
Improving Multi-agent Reinforcement Learning with Stable Prefix Policy
IJCAI 2024
Sentiment Analysis in the Era of Large Language Models: A Reality Check
NAACL 2024
Parallelizing Model-based Reinforcement Learning Over the Sequence Length
NIPS 2024
Multilingual Jailbreak Challenges in Large Language Models
ICLR 2024
SeaLLMs - Large Language Models for Southeast Asia
ACL 2024
Boosting Multi-agent Reinforcement Learning via Contextual Prompting
JMLR 2023
Task-aware world model learning with meta weighting via bi-level optimization
NIPS 2023
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis
ACL 2023
SOUL: Towards Sentiment and Opinion Understanding of Language
EMNLP 2023
Boosting Supervised Dehazing Methods via Bi-Level Patch Reweighting
ECCV 2022
An Alignment-Agnostic Model for Chinese Text Error Correction
EMNLP 2021
Learning Assistance from an Adversarial Critic for Multi-Outputs Prediction
IJCAI 2019
Training Recurrent Neural Network through Moment Matching for NLP Applications
INTERSPEECH 2018
Adversarial Active Learning for Sequences Labeling and Generation
IJCAI 2018
Disguise Adversarial Networks for Click-through Rate Prediction
IJCAI 2017