Yongcheng Jing
14 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (27) π Conference Polyglot (7) π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer
π§
Keyword Pioneer
π§¬
Topic Evolution
π€
Dynamic Duo
(10)
π
Conference Pioneer
π
Century Club
(11)
ποΈ
Keyword Collector
(53)
π₯
Unstoppable
(6)
Conferences
ACL (3)
CVPR (3)
AAAI (2)
ECCV (2)
ICCV (2)
ICML (1)
NIPS (1)
Top co-authors
Keywords
graph neural network
(4)
knowledge distillation
(3)
transfer learning
(2)
knowledge transfer
(2)
large language model
(2)
image restoration
(1)
domain adaptation
(1)
multi-task learning
(1)
frame interpolation
(1)
network optimization
(1)
event camera
(1)
style transfer
(1)
video super-resolution
(1)
model merging
(1)
semantic alignment
(1)
machine unlearning
(1)
graph representation
(1)
parallel computing
(1)
graph classification
(1)
image generation
(1)
Papers
Distillation Traps and Guards: A Calibration Knob for LLM Distillability
ACL 2026
Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models
ACL 2026
Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation
AAAI 2026
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
ICML 2025
Dynamic Parallel Tree Search for Efficient LLM Reasoning
ACL 2025
Deep Graph Mating
NIPS 2024
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks
ICCV 2023
Deep Graph Reprogramming
CVPR 2023
Learning Graph Neural Networks for Image Style Transfer
ECCV 2022
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras
CVPR 2021
Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks
ICCV 2021
Amalgamating Knowledge From Heterogeneous Graph Neural Networks
CVPR 2021
Dynamic Instance Normalization for Arbitrary Style Transfer
AAAI 2020
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields
ECCV 2018