Jianan Wang
30 papers · 2017–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (10) π Cross-Pollinator (13)
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Academic Marathon
(8)
π§
Keyword Pioneer
π
Cross-Pollinator
(13)
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Topic Evolution
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Unstoppable
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Century Club
(30)
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Prolific Year
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Keyword Collector
(155)
Conferences
AAAI (6)
CVPR (5)
ICLR (5)
NIPS (5)
EMNLP (3)
ICCV (2)
CORL (1)
IJCAI (1)
IJCNLP (1)
WACV (1)
Top co-authors
Research topics
Keywords
diffusion model
(5)
point cloud
(4)
large language model
(3)
vision language model
(2)
online learning
(2)
few-shot learning
(2)
gated linear network
(2)
table understanding
(2)
category-level pose
(2)
image generation
(2)
human image generation
(2)
catastrophic forgetting
(2)
video generation
(1)
object detection
(1)
motion synthesis
(1)
feature extraction
(1)
semantic segmentation
(1)
contrastive learning
(1)
pose estimation
(1)
code generation
(1)
Papers
R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy
AAAI 2025
CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility
AAAI 2025
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
AAAI 2025
Unposed Sparse Views Room Layout Reconstruction in the Age of Pretrain Model
ICLR 2025
GaPT-DAR: Category-level Garments Pose Tracking via Integrated 2D Deformation and 3D Reconstruction
CVPR 2025
ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models
CORL 2025
Code-BT: A Code-Driven Approach to Behavior Tree Generation for Robot Tasks Planning with Large Language Models
IJCAI 2025
BeSimulator: A Large Language Model Powered Text-based Behavior Simulator
EMNLP 2025
DreamCube: RGB-D Panorama Generation via Multi-plane Synchronization
ICCV 2025
TOSS: High-quality Text-guided Novel View Synthesis from a Single Image
ICLR 2024
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
ICLR 2024
Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
ICLR 2024
Rethinking 3D Convolution in $\ell_p$-norm Space
NIPS 2024
MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract)
AAAI 2024
DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation
CVPR 2024
Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes
CVPR 2023
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training
CVPR 2023
LipsFormer: Introducing Lipschitz Continuity to Vision Transformers
ICLR 2023
TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding
EMNLP 2023
Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning
AAAI 2023
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation
ICCV 2023
DreamWaltz: Make a Scene with Complex 3D Animatable Avatars
NIPS 2023
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-Wise Semantic Alignment and Generation
CVPR 2022
Data-Efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions
WACV 2021
Gated Linear Networks
AAAI 2021
Implicit Sentiment Analysis with Event-centered Text Representation
EMNLP 2021
Online Learning in Contextual Bandits using Gated Linear Networks
NIPS 2020
A Combinatorial Perspective on Transfer Learning
NIPS 2020
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
NIPS 2019
Predicting Usersβ Negative Feedbacks in Multi-Turn Human-Computer Dialogues
IJCNLP 2017