Jiahao Chen
20 papers · 2020–2025 · 10 conferences · across top CS/AI conferences
Achievements
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Grand Slam
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Prolific Year
(5)
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The Questioner
(2)
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Keyword Collector
(86)
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Century Club
(20)
Conferences
AAAI (4)
ICML (4)
NIPS (3)
CVPR (2)
ICLR (2)
ACL (1)
CORL (1)
EMNLP (1)
MICCAI (1)
OSDI (1)
Top co-authors
Research topics
Keywords
deep learning
(3)
knowledge tracing
(3)
student performance prediction
(3)
backdoor attack
(2)
adversarial attack
(2)
cognitive modeling
(1)
image restoration
(1)
semantic segmentation
(1)
commonsense knowledge
(1)
cross-lingual transfer
(1)
item response theory
(1)
empirical study
(1)
transfer learning
(1)
class imbalance
(1)
cognitive representation
(1)
knowledge transfer
(1)
probability density
(1)
machine learning security
(1)
confusion matrix
(1)
scene segmentation
(1)
Papers
CAMH: Advancing Model Hijacking Attack in Machine Learning
AAAI 2025
TWIST: Text-encoder Weight-editing for Inserting Secret Trojans in Text-to-Image Models
ACL 2025
CSV-Occ: Fusing Multi-frame Alignment for Occupancy Prediction with Temporal Cross State Space Model and Central Voting Mechanism
ICML 2025
Rethinking the Bias of Foundation Model under Long-tailed Distribution
ICML 2025
Are High-Quality AI-Generated Images More Difficult for Models to Detect?
ICML 2025
DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training
ICLR 2025
Enhancing Adversarial Transferability with Adversarial Weight Tuning
AAAI 2025
LLMs as Collaborator: Demands-Guided Collaborative Retrieval-Augmented Generation for Commonsense Knowledge-Grounded Open-Domain Dialogue Systems
EMNLP 2024
Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge
AAAI 2024
Adapting Humanoid Locomotion over Challenging Terrain via Two-Phase Training
CORL 2024
NeRF-HuGS: Improved Neural Radiance Fields in Non-static Scenes Using Heuristics-Guided Segmentation
CVPR 2024
Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations
MICCAI 2024
Security and Performance in the Delegated User-level Virtualization
OSDI 2023
XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information
NIPS 2023
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
AAAI 2023
Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution
CVPR 2023
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
ICLR 2023
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models
NIPS 2022
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training
NIPS 2021
FACT: A Diagnostic for Group Fairness Trade-offs
ICML 2020