Junjie Chen
31 papers · 2018–2026 · 12 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (7)
🌍
Conference Polyglot
(12)
🏃
Academic Marathon
(7)
🏆
Grand Slam
👥
Mega-Team
(29)
🗃️
Keyword Collector
(178)
🚀
Conference Pioneer
💎
Century Club
(24)
🔥
Unstoppable
(8)
⚡
Prolific Year
(6)
Conferences
AAAI (12)
ACL (4)
CVPR (3)
NIPS (3)
EMNLP (2)
ACML (1)
ICCV (1)
ICLR (1)
ICML (1)
IJCAI (1)
INTERSPEECH (1)
NAACL (1)
Top co-authors
Keywords
transfer learning
(3)
object detection
(3)
domain adaptation
(2)
mask prediction
(2)
weak-shot learning
(2)
similarity transfer
(2)
language model
(2)
unsupervised learning
(2)
inference acceleration
(2)
diffusion transformer
(2)
few-shot learning
(2)
category-agnostic pose estimation
(2)
image retrieval
(2)
image generation
(2)
dependency parsing
(2)
generative adversarial network
(2)
feature caching
(2)
binary code
(2)
similarity learning
(1)
multi-instance learning
(1)
Papers
Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation
AAAI 2026
Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration
AAAI 2026
Simulating Dispute Mediation with LLM-Based Agents for Legal Research
AAAI 2026
Forecast Then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers
AAAI 2026
RefSTAR: Blind Face Image Restoration with Reference Selection, Transfer, and Reconstruction
AAAI 2026
Infrared-Privileged UAV Detection via Cross-Modal Vector-Quantization
AAAI 2026
Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language Models
AAAI 2026
Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation
CVPR 2025
ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis
AAAI 2025
LegalAgentBench: Evaluating LLM Agents in Legal Domain
ACL 2025
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges
ACL 2025
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers
ICCV 2025
Improving Unsupervised Constituency Parsing via Maximizing Semantic Information
ICLR 2025
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks
AAAI 2024
Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
CVPR 2024
Language Model Based Unsupervised Dependency Parsing with Conditional Mutual Information and Grammatical Constraints
NAACL 2024
Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures
ACL 2024
Amodal Instance Segmentation via Prior-Guided Expansion
AAAI 2023
Weak-shot Semantic Segmentation via Dual Similarity Transfer
NIPS 2022
Modeling Syntactic-Semantic Dependency Correlations in Semantic Role Labeling Using Mixture Models
ACL 2022
Selling Data To a Machine Learner: Pricing via Costly Signaling
ICML 2022
Pyramid Correlation based Deep Hough Voting for Visual Object Tracking
ACML 2021
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
NIPS 2021
APIRecX: Cross-Library API Recommendation via Pre-Trained Language Model
EMNLP 2021
Weak-shot Fine-grained Classification via Similarity Transfer
NIPS 2021
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation
INTERSPEECH 2021
Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination
AAAI 2021
A System for Worldwide COVID-19 Information Aggregation
EMNLP 2020
Learning From Web Data With Self-Organizing Memory Module
CVPR 2020
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval
AAAI 2019
Learning Deep Unsupervised Binary Codes for Image Retrieval
IJCAI 2018