Yan Zeng
27 papers · 2020–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (13) 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
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Interdisciplinary Bridge
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Conference Polyglot
(13)
🏃
Academic Marathon
(5)
🗃️
Keyword Collector
(110)
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Prolific Year
(11)
🚀
Conference Pioneer
💎
Century Club
(26)
🔥
Unstoppable
(6)
❓
The Questioner
Conferences
ICML (7)
NIPS (4)
ACL (3)
AAAI (2)
CVPR (2)
NAACL (2)
CLEAR (1)
EMNLP (1)
IJCAI (1)
IJCNLP (1)
JMLR (1)
MICCAI (1)
WACV (1)
Top co-authors
Keywords
multimodal learning
(4)
causal discovery
(3)
contrastive learning
(2)
multi-task learning
(2)
foundation model
(2)
diffusion model
(2)
vision-language model
(2)
image generation
(2)
computational photography
(1)
transfer learning
(1)
3d reconstruction
(1)
image restoration
(1)
active learning
(1)
policy optimization
(1)
self-supervised learning
(1)
neural network pruning
(1)
sequential decision making
(1)
video generation
(1)
object detection
(1)
motion synthesis
(1)
Papers
Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification
AAAI 2026
Inverting the Generation Process of Denoising Diffusion Implicit Models: Empirical Evaluation and a Novel Method
WACV 2025
FedAMM: Federated Learning for Brain Tumor Segmentation with Arbitrary Missing Modalities
MICCAI 2025
Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models
ICML 2025
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation
AAAI 2024
DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
NIPS 2024
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards
NIPS 2024
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
NIPS 2024
CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy
NIPS 2024
Make Pixels Dance: High-Dynamic Video Generation
CVPR 2024
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
ICML 2024
Boximator: Generating Rich and Controllable Motions for Video Synthesis
ICML 2024
Policy Learning for Balancing Short-Term and Long-Term Rewards
ICML 2024
Local Causal Structure Learning in the Presence of Latent Variables
ICML 2024
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
NAACL 2024
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training
ACL 2023
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks
EMNLP 2023
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning
ACL 2023
Python package for causal discovery based on LiNGAM
JMLR 2023
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training
ICML 2022
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
ICML 2022
Causal Discovery for Linear Mixed Data
CLEAR 2022
A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation
NAACL 2021
An Investigation of Suitability of Pre-Trained Language Models for Dialogue Generation – Avoiding Discrepancies
ACL 2021
Causal Discovery with Multi-Domain LiNGAM for Latent Factors
IJCAI 2021
An Investigation of Suitability of Pre-Trained Language Models for Dialogue Generation – Avoiding Discrepancies
IJCNLP 2021
Perceptual Quality Assessment of Smartphone Photography
CVPR 2020