Ke Cheng
12 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (5) π Conference Polyglot (7) π Renaissance Researcher (9) πΊοΈ Taxonomy Completionist (24)
πΊοΈ
Taxonomy Completionist
(24)
π§
Keyword Pioneer
π₯
Mega-Team
(21)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(53)
π
Century Club
(10)
Conferences
AAAI (3)
ECCV (3)
NIPS (2)
CVPR (1)
ICLR (1)
NSDI (1)
OSDI (1)
Top co-authors
Keywords
model compression
(2)
differential privacy
(1)
pearson correlation
(1)
action recognition
(1)
object detection
(1)
video prediction
(1)
knowledge distillation
(1)
autonomous driving
(1)
driving dataset
(1)
neural network optimization
(1)
efficient computing
(1)
sparse optimization
(1)
structured sparsity
(1)
reward model
(1)
offline reinforcement learning
(1)
world model
(1)
sparse training
(1)
gradient projection
(1)
structured pruning
(1)
feature alignment
(1)
Papers
Differentially Private Subspace Fine-Tuning for Large Language Models
AAAI 2026
UNO! UNified Offline Training Paradigm for Learning Path Recommendation
AAAI 2026
CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences
ICLR 2025
DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model
NIPS 2024
Fast and Scalable In-network Lock Management Using Lock Fission
OSDI 2024
SRNIC: A Scalable Architecture for RDMA NICs
NSDI 2023
MENet: A Memory-Based Network with Dual-Branch for Efficient Event Stream Processing
ECCV 2022
Towards Fully Sparse Training: Information Restoration with Spatial Similarity
AAAI 2022
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient
NIPS 2022
Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition
ECCV 2020
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices
ECCV 2020
Skeleton-Based Action Recognition With Shift Graph Convolutional Network
CVPR 2020