Yu Zhu
32 papers · 2014–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (11) 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🌈
Renaissance Researcher
(10)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(11)
🤝
Dynamic Duo
(10)
👥
Mega-Team
(26)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(159)
🚀
Conference Pioneer
⚡
Prolific Year
(6)
🔥
Unstoppable
(9)
💎
Century Club
(30)
Conferences
CVPR (10)
AAAI (7)
IJCAI (5)
ICML (3)
NIPS (3)
AISTATS (1)
ECCV (1)
ICCV (1)
OSDI (1)
Top co-authors
Keywords
image restoration
(3)
depth estimation
(2)
image reconstruction
(2)
neural network
(2)
recurrent neural network
(2)
dictionary learning
(2)
recommendation system
(2)
latent space
(2)
user behavior modeling
(2)
hdr imaging
(2)
multi-view stereo
(2)
few-shot learning
(2)
domain adaptation
(1)
semi-supervised learning
(1)
variational inference
(1)
domain generalization
(1)
continual learning
(1)
dimensionality reduction
(1)
self-attention mechanism
(1)
preference learning
(1)
Papers
CapeNext: Rethinking and Refining Dynamic Support Information for Category-Agnostic Pose Estimation
AAAI 2026
Energy-based Autoregressive Generation for Neural Population Dynamics
AAAI 2026
Sparse2DGS: Geometry-Prioritized Gaussian Splatting for Surface Reconstruction from Sparse Views
CVPR 2025
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis
AAAI 2025
MPBR: Multimodal Progressive Bidirectional Reasoning for Open-Set Fine-Grained Recognition
ICCV 2025
Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models
IJCAI 2025
CSV-Occ: Fusing Multi-frame Alignment for Occupancy Prediction with Temporal Cross State Space Model and Central Voting Mechanism
ICML 2025
Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment
ICML 2025
An Impossibility Theorem for Node Embedding
AISTATS 2024
ACCL+: an FPGA-Based Collective Engine for Distributed Applications
OSDI 2024
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
NIPS 2024
Reflected Flow Matching
ICML 2024
GSDD: Generative Space Dataset Distillation for Image Super-resolution
AAAI 2024
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
AAAI 2024
GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo
CVPR 2024
A Unified HDR Imaging Method With Pixel and Patch Level
CVPR 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration
NIPS 2023
SMAE: Few-Shot Learning for HDR Deghosting With Saturation-Aware Masked Autoencoders
CVPR 2023
Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes
CVPR 2023
SKFlow: Learning Optical Flow with Super Kernels
NIPS 2022
Exploring and Evaluating Image Restoration Potential in Dynamic Scenes
CVPR 2022
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction
AAAI 2021
Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network
CVPR 2020
GINet: Graph Interaction Network for Scene Parsing
ECCV 2020
Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant
AAAI 2019
Deep Session Interest Network for Click-Through Rate Prediction
IJCAI 2019
Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism
IJCAI 2018
A Brand-level Ranking System with the Customized Attention-GRU Model
IJCAI 2018
What to Do Next: Modeling User Behaviors by Time-LSTM
IJCAI 2017
Modeling Deformable Gradient Compositions for Single-Image Super-Resolution
CVPR 2015
Region-Based Temporally Consistent Video Post-Processing
CVPR 2015
Single Image Super-resolution using Deformable Patches
CVPR 2014