Jianwei Niu
31 papers · 2020–2026 · 11 conferences · across top CS/AI conferences
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Conferences
AAAI (6)
EMNLP (6)
ICCV (4)
COLING (3)
CVPR (3)
IJCAI (3)
NIPS (2)
ACL (1)
ICML (1)
INTERSPEECH (1)
NSDI (1)
Top co-authors
Keywords
federated learning
(4)
large language model
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document-level relation extraction
(3)
contrastive learning
(2)
model compression
(2)
convolutional neural network
(2)
model scaling
(2)
language model
(2)
semi-supervised learning
(2)
vision transformer
(2)
model architecture
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noisy label
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image classification
(2)
transfer learning
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logical rule
(2)
object detection
(2)
probabilistic modeling
(1)
image generation
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feature learning
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representation learning
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Papers
Learning to Optimize Job Shop Scheduling Under Structural Uncertainty
AAAI 2026
DoKnowAD: Calibrating Normal Representations with Refined Domain Knowledge to Enhance Time Series Anomaly Detection
AAAI 2026
From Scene to Object: Enhancing Open-Vocabulary Object Detection via Foreground-Background Context Reasoning
AAAI 2026
EdgeFormer: Latency-Aware Collaborative Multi-Head Attention of Transformer Inference in Edge Networks
ACL 2026
Temporal Scaling Law for Large Language Models
EMNLP 2025
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models
AAAI 2025
Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal
AAAI 2025
Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models
COLING 2025
Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation
EMNLP 2025
Benefit From Seen: Enhancing Open-Vocabulary Object Detection by Bridging Visual and Textual Co-Occurrence Knowledge
ICCV 2025
Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation
ICCV 2025
Causality Inspired Federated Learning for OOD Generalization
ICML 2025
Why Go Full? Elevating Federated Learning Through Partial Network Updates
NIPS 2024
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
IJCAI 2024
BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation
IJCAI 2024
LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations
EMNLP 2024
VILAM: Infrastructure-assisted 3D Visual Localization and Mapping for Autonomous Driving
NSDI 2024
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration
ICCV 2023
Boosting Document-Level Relation Extraction by Mining and Injecting Logical Rules
EMNLP 2022
Key Mention Pairs Guided Document-Level Relation Extraction
COLING 2022
WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit
INTERSPEECH 2022
CETA: A Consensus Enhanced Training Approach for Denoising in Distantly Supervised Relation Extraction
COLING 2022
Fine-grained Factual Consistency Assessment for Abstractive Summarization Models
EMNLP 2021
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
NIPS 2021
Visformer: The Vision-Friendly Transformer
ICCV 2021
MangaGAN: Unpaired Photo-to-Manga Translation Based on The Methodology of Manga Drawing
AAAI 2021
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions
CVPR 2021
Explore Better Relative Position Embeddings from Encoding Perspective for Transformer Models
EMNLP 2021
ArtCoder: An End-to-End Method for Generating Scanning-Robust Stylized QR Codes
CVPR 2021
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
IJCAI 2020
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio
CVPR 2020