Jingwei Sun
16 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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Interdisciplinary Bridge
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Conferences
ICML (3)
AAAI (2)
CVPR (2)
ICCV (2)
ICLR (2)
NIPS (2)
ACL (1)
ECCV (1)
NAACL (1)
Top co-authors
Research topics
Keywords
federated learning
(4)
model compression
(2)
variational inference
(1)
few-shot learning
(1)
graph structure
(1)
distributed learning
(1)
video understanding
(1)
mutual information
(1)
text-to-image generation
(1)
semantic representation
(1)
privacy preservation
(1)
neural network optimization
(1)
computational efficiency
(1)
gaussian process
(1)
semi-supervised learning
(1)
communication efficiency
(1)
convergence rate
(1)
adversarial defense
(1)
data heterogeneity
(1)
representation learning
(1)
Papers
CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints
AAAI 2026
EvalMuse-40K: A Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Alignment Evaluation
AAAI 2026
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
ICLR 2025
Introducing Graph Context into Language Models through Parameter-Efficient Fine-Tuning for Lexical Relation Mining
ACL 2025
Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing
ICCV 2025
Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models
ICLR 2025
SADA: Stability-guided Adaptive Diffusion Acceleration
ICML 2025
Structured Pruning for Large Language Models Using Coupled Components Elimination and Minor Fine-tuning
NAACL 2024
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
ICML 2024
Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
NIPS 2024
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents
ECCV 2024
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples
ICCV 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
ICML 2023
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning
CVPR 2022
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
NIPS 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective
CVPR 2021