Lu Jiang
54 papers · 2014–2026 · 10 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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Renaissance Researcher
(6)
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Venues
Top co-authors
Research topics
Deep Learning
(32)
Machine Learning
(25)
Computer Vision
(24)
Generation
(18)
Artificial Intelligence
(17)
Models
(16)
Core AI
(15)
Learning Types Β· Machine Learning
(14)
Learning Types Β· Deep Learning
(14)
Architectures
(13)
Natural Language Processing
(8)
Application Areas
(8)
Core Methods
(8)
Processing
(6)
Reinforcement Learning
(5)
Keywords
video generation
(9)
image generation
(6)
diffusion model
(6)
vision transformer
(5)
multimodal learning
(4)
neural machine translation
(3)
data augmentation
(3)
large language model
(3)
label noise
(3)
hierarchical reinforcement learning
(3)
representation learning
(3)
image synthesis
(3)
diffusion transformer
(3)
domain generalization
(2)
prompt engineering
(2)
reinforcement learning
(2)
multi-task learning
(2)
curriculum learning
(2)
contrastive learning
(2)
video synthesis
(2)
Papers
Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning
AAAI 2026
Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models
AAAI 2025
CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models
ICCV 2025
Diffusion Adversarial Post-Training for One-Step Video Generation
ICML 2025
Fine-Grained Controllable Video Generation via Object Appearance and Context
WACV 2025
Long Context Tuning for Video Generation
ICCV 2025
RATT: A Thought Structure for Coherent and Correct LLM Reasoning
AAAI 2025
Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning
AAAI 2025
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration
CVPR 2025
Synthetic Video Enhances Physical Fidelity in Video Synthesis
ICCV 2025
VideoAuteur: Towards Long Narrative Video Generation
ICCV 2025
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation
NeurIPS 2024
Hierarchical Reinforcement Learning for Point of Interest Recommendation
IJCAI 2024
Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation
IJCAI 2024
Language Model Beats Diffusion - Tokenizer is key to visual generation
ICLR 2024
Photorealistic Video Generation with Diffusion Models
ECCV 2024
Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation
AAAI 2024
Text-Driven Image Editing via Learnable Regions
CVPR 2024
TFWT: Tabular Feature Weighting with Transformer
IJCAI 2024
VideoPoet: A Large Language Model for Zero-Shot Video Generation
ICML 2024
Discrete Predictor-Corrector Diffusion Models for Image Synthesis
ICLR 2023
MAGVIT: Masked Generative Video Transformer
CVPR 2023
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning
AAAI 2023
Muse: Text-To-Image Generation via Masked Generative Transformers
ICML 2023
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs
NeurIPS 2023
StyleDrop: Text-to-Image Synthesis of Any Style
NeurIPS 2023
Visual Prompt Tuning for Generative Transfer Learning
CVPR 2023
BLT: Bidirectional Layout Transformer for Controllable Layout Generation
ECCV 2022
Discrete Representations Strengthen Vision Transformer Robustness
ICLR 2022
Improved Masked Image Generation with Token-Critic
ECCV 2022
MaskGIT: Masked Generative Image Transformer
CVPR 2022
Pyramid Adversarial Training Improves ViT Performance
CVPR 2022
ViTGAN: Training GANs with Vision Transformers
ICLR 2022
Controllable and Progressive Image Extrapolation
WACV 2021
Faster Meta Update Strategy for Noise-Robust Deep Learning
CVPR 2021
Regularizing Generative Adversarial Networks Under Limited Data
CVPR 2021
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
ICML 2021
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation
ACL 2020
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
ICML 2020
Neural Design Network: Graphic Layout Generation with Constraints
ECCV 2020
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval
ECCV 2020
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction
ECCV 2020
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
CVPR 2020
Composing Text and Image for Image Retrieval - an Empirical Odyssey
CVPR 2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
CVPR 2019
Eidetic 3D LSTM: A Model for Video Prediction and Beyond
ICLR 2019
Peeking Into the Future: Predicting Future Person Activities and Locations in Videos
CVPR 2019
Robust Neural Machine Translation with Doubly Adversarial Inputs
ACL 2019
Focal Visual-Text Attention for Visual Question Answering
CVPR 2018
Graph Distillation for Action Detection with Privileged Modalities
ECCV 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
ICML 2018
Learning to Detect Concepts from Webly-Labeled Video Data
IJCAI 2016
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection
ICCV 2015
Self-Paced Learning with Diversity
NeurIPS 2014