Peng Ye
39 papers · 2013–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(12)
πΊοΈ
Taxonomy Completionist
(67)
π
Grand Slam
π€
Dynamic Duo
(14)
π
Conference Pioneer
π₯
Unstoppable
(5)
π
Century Club
(35)
π
Trend Setter
ποΈ
Keyword Collector
(160)
β‘
Prolific Year
(13)
Conferences
CVPR (11)
NIPS (8)
AAAI (4)
ICML (4)
ICLR (3)
ACL (2)
COLING (2)
COLT (2)
ECCV (1)
EMNLP (1)
ICCV (1)
Top co-authors
Research topics
Keywords
model compression
(4)
knowledge distillation
(3)
large language model
(3)
knowledge graph
(3)
model merging
(3)
link prediction
(2)
neural network
(2)
neural network pruning
(2)
foundation model
(2)
image quality assessment
(2)
residual network
(2)
query embedding
(2)
self-supervised learning
(2)
stereo matching
(2)
online learning
(1)
iterative optimization
(1)
learning theory
(1)
feature learning
(1)
multi-task learning
(1)
differential privacy
(1)
Papers
Nature-Inspired Population-Based Evolution of Large Language Models
ACL 2026
The Avengers: A Routing Recipe for Collective Intelligence in Language Models
AAAI 2026
A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement
ACL 2026
Mitigating Low-Quality Reasoning in MLLMs: Self-Driven Refined Multimodal CoT with Selective Thinking and Step-wise Visual Enhancement
AAAI 2026
Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models
EMNLP 2025
All-in-One: Transferring Vision Foundation Models into Stereo Matching
AAAI 2025
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
CVPR 2025
When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration
ICML 2025
Less is More: Efficient Model Merging with Binary Task Switch
CVPR 2025
Consistency-aware Self-Training for Iterative-based Stereo Matching
CVPR 2025
Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity
COLT 2025
DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models
CVPR 2025
HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction
ICLR 2025
Revisiting Convolution Architecture in the Realm of DNA Foundation Models
ICLR 2025
A CLIP-Powered Framework for Robust and Generalizable Data Selection
ICLR 2025
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
CVPR 2024
The Limits of Differential Privacy in Online Learning
NIPS 2024
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA
NIPS 2024
BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
NIPS 2024
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
NIPS 2024
EMR-Merging: Tuning-Free High-Performance Model Merging
NIPS 2024
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
NIPS 2024
Boosting Residual Networks with Group Knowledge
AAAI 2024
Prompt-fused Framework for Inductive Logical Query Answering
COLING 2024
MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer
CVPR 2024
Enhanced Sparsification via Stimulative Training
ECCV 2024
CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
ICML 2024
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
ICML 2024
RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary
ICCV 2023
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing
NIPS 2022
Ruleformer: Context-aware Rule Mining over Knowledge Graph
COLING 2022
b-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
CVPR 2022
Neural-Symbolic Entangled Framework for Complex Query Answering
NIPS 2022
In-Database Regression in Input Sparsity Time
ICML 2021
Average-Case Communication Complexity of Statistical Problems
COLT 2021
Active Sampling for Subjective Image Quality Assessment
CVPR 2014
Convolutional Neural Networks for No-Reference Image Quality Assessment
CVPR 2014
Beyond Human Opinion Scores: Blind Image Quality Assessment based on Synthetic Scores
CVPR 2014
Real-Time No-Reference Image Quality Assessment Based on Filter Learning
CVPR 2013