Zijian Zhou
20 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (14)
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(5)
🧬
Topic Evolution
🗃️
Keyword Collector
(88)
🚀
Conference Pioneer
💎
Century Club
(19)
🔥
Unstoppable
(6)
⚡
Prolific Year
(5)
Conferences
AAAI (5)
NIPS (4)
CVPR (2)
EMNLP (2)
ICLR (2)
ACL (1)
ECCV (1)
ICCV (1)
IJCAI (1)
MICCAI (1)
Top co-authors
Keywords
large language model
(4)
spiking neural network
(3)
attention mechanism
(3)
in-context learning
(2)
semantic segmentation
(2)
knowledge transfer
(2)
model compression
(2)
model binarization
(2)
few-shot learning
(1)
sound source localization
(1)
efficient training
(1)
prototype learning
(1)
visual question answering
(1)
medical imaging
(1)
transformer architecture
(1)
neuromorphic computing
(1)
token selection
(1)
domain adaptation
(1)
knowledge distillation
(1)
transfer learning
(1)
Papers
Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution
AAAI 2026
Learning Flow Fields in Attention for Controllable Person Image Generation
CVPR 2025
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism
AAAI 2025
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
AAAI 2025
TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding
ACL 2025
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving
CVPR 2025
Uncovering Scaling Laws for Large Language Models via Inverse Problems
EMNLP 2025
QP-SNN: Quantized and Pruned Spiking Neural Networks
ICLR 2025
Binary Event-Driven Spiking Transformer
IJCAI 2025
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
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
NIPS 2024
Spike-based Neuromorphic Model for Sound Source Localization
NIPS 2024
Probably Approximate Shapley Fairness with Applications in Machine Learning
AAAI 2023
Text Promptable Surgical Instrument Segmentation with Vision-Language Models
NIPS 2023
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation
ICCV 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
NIPS 2020