Zijian Zhou
25 papers · 2020–2026 · 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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πΊοΈ Taxonomy Completionist (60) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π₯ Mega-Team Β· Squad
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Topic Evolution
ποΈ
Keyword Collector
(119)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
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Renaissance Researcher
(6)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(17)
Deep Learning
(17)
Core AI
(16)
Machine Learning
(13)
Application Areas
(8)
Computer Vision
(7)
Architectures
(6)
Learning Types Β· Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Techniques
(5)
Generation
(4)
Models
(4)
Optimization & Theory Β· Deep Learning
(4)
Analysis
(3)
Optimization & Theory Β· Machine Learning
(3)
Keywords
spiking neural network
(4)
attention mechanism
(4)
large language model
(4)
video generation
(2)
in-context learning
(2)
semantic segmentation
(2)
edge computing
(2)
image editing
(2)
model compression
(2)
model binarization
(2)
knowledge transfer
(2)
energy efficiency
(2)
ensemble learning
(1)
domain adaptation
(1)
transfer learning
(1)
imitation learning
(1)
zero-shot learning
(1)
deep reinforcement learning
(1)
image generation
(1)
visual question answering
(1)
Papers
Mixture of States: Routing Token-Level Dynamics for Multimodal Generation
CVPR 2026
OneStory: Coherent Multi-Shot Video Generation with Adaptive Memory
CVPR 2026
Scaling Zero-Shot Reference-to-Video Generation
CVPR 2026
Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution
AAAI 2026
TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models
CVPR 2026
VecGlypher: Unified Vector Glyph Generation with Language Models
CVPR 2026
Binary Event-Driven Spiking Transformer
IJCAI 2025
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
AAAI 2025
Learning Flow Fields in Attention for Controllable Person Image Generation
CVPR 2025
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving
CVPR 2025
QP-SNN: Quantized and Pruned Spiking Neural Networks
ICLR 2025
TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding
ACL 2025
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism
AAAI 2025
Uncovering Scaling Laws for Large Language Models via Inverse Problems
EMNLP 2025
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
NeurIPS 2024
MoCo-Diff: Adaptive Conditional Prior on Diffusion Network for MRI Motion Correction
MICCAI 2024
OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models
ECCV 2024
Position Paper: Data-Centric AI in the Age of Large Language Models
EMNLP 2024
Spike-based Neuromorphic Model for Sound Source Localization
NeurIPS 2024
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation
ICCV 2023
Probably Approximate Shapley Fairness with Applications in Machine Learning
AAAI 2023
Text Promptable Surgical Instrument Segmentation with Vision-Language Models
NeurIPS 2023
Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
AAAI 2022
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
ICLR 2021
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
NeurIPS 2020