Jiaqi Yang
40 papers · 2019–2026 · 14 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (12)
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Cross-Pollinator
(12)
🌍
Conference Polyglot
(13)
🏃
Academic Marathon
(6)
🏆
Grand Slam
🧬
Topic Evolution
🔥
Unstoppable
(7)
💎
Century Club
(39)
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Prolific Year
(5)
🗃️
Keyword Collector
(152)
Conferences
CVPR (9)
ICCV (7)
NIPS (6)
ICLR (5)
AAAI (2)
ECCV (2)
ICML (2)
AISTATS (1)
EMNLP (1)
IJCAI (1)
MICCAI (1)
MIDL (1)
PGM (1)
UAI (1)
Top co-authors
Keywords
3d vision
(4)
point cloud
(4)
neural network
(3)
point cloud registration
(3)
domain generalization
(2)
video generation
(2)
reinforcement learning
(2)
multi-armed bandit
(2)
inverse rendering
(2)
regret bound
(2)
sample efficiency
(2)
pose estimation
(2)
computer vision
(2)
feature matching
(2)
model compression
(2)
autonomous driving
(2)
3d registration
(2)
policy gradient
(1)
zero-shot learning
(1)
one-shot learning
(1)
Papers
ECT-3DMedSAM: Efficient Cross Teaching Using Segment Anything Model for Semi-Supervised 3D Medical Image Segmentation
MIDL 2026
FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation
CVPR 2025
WSI-Agents: A Collaborative Multi-Agent System for Multi-Modal Whole Slide Image Analysis
MICCAI 2025
Top-I2P: Explore Open-Domain Image-to-Point Cloud Registration Using Topology Relationship
IJCAI 2025
CyberHost: A One-stage Diffusion Framework for Audio-driven Talking Body Generation
ICLR 2025
Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency
ICLR 2025
SPU-IMR: Self-supervised Arbitrary-scale Point Cloud Upsampling via Iterative Mask-recovery Network
AAAI 2025
Unlocking Generalization Power in LiDAR Point Cloud Registration
CVPR 2025
HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration
ICCV 2025
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models
ICCV 2025
BoxDreamer: Dreaming Box Corners for Generalizable Object Pose Estimation
ICCV 2025
MinCD-PnP: Learning 2D-3D Correspondences with Approximate Blind PnP
ICCV 2025
ArgMatch: Adaptive Refinement Gathering for Efficient Dense Matching
ICCV 2025
MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices
CVPR 2025
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data
AAAI 2025
H-LegalKI: A Hierarchical Legal Knowledge Integration Framework for Legal Community Question Answering
EMNLP 2024
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
CVPR 2024
3D Single-object Tracking in Point Clouds with High Temporal Variation
ECCV 2024
Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis
ICLR 2024
RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction
UAI 2024
MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency
ICCV 2023
Hierarchical Prior Mining for Non-local Multi-View Stereo
ICCV 2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
ICLR 2023
3D Registration With Maximal Cliques
CVPR 2023
Beyond probability partitions: Calibrating neural networks with semantic aware grouping
NIPS 2023
Multi-View Inverse Rendering for Large-Scale Real-World Indoor Scenes
CVPR 2023
iQuery: Instruments As Queries for Audio-Visual Sound Separation
CVPR 2023
Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction
ECCV 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
ICML 2022
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
ICML 2022
PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor Images
CVPR 2022
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems
NIPS 2022
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP
NIPS 2021
Fully Gap-Dependent Bounds for Multinomial Logit Bandit
AISTATS 2021
Impact of Representation Learning in Linear Bandits
ICLR 2021
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
NIPS 2021
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
NIPS 2021
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature
NIPS 2021
Solving Multiple Inference by Minimizing Expected Loss
PGM 2020
NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences
CVPR 2019