Jing Han
16 papers · 2016–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π Conference Polyglot (5) π§ Keyword Pioneer π Cross-Pollinator (10)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(34)
π
Interdisciplinary Bridge
π₯
Mega-Team
(24)
π
Conference Pioneer
ποΈ
Keyword Collector
(71)
π
Trend Setter
π
Century Club
(14)
β‘
Prolific Year
(5)
Conferences
INTERSPEECH (7)
AAAI (3)
CVPR (3)
ICML (2)
NIPS (1)
Top co-authors
Research topics
Keywords
speech emotion recognition
(3)
covid-19 detection
(3)
graph neural network
(2)
uncertainty estimation
(2)
convolutional neural network
(2)
hierarchical learning
(1)
ensemble learning
(1)
image generation
(1)
neural architecture search
(1)
video understanding
(1)
spatio-temporal modeling
(1)
deep learning
(1)
speech analysis
(1)
acoustic modeling
(1)
transfer learning
(1)
support vector regression
(1)
hierarchical representation
(1)
model architecture
(1)
speech classification
(1)
video analysis
(1)
Papers
PocketLLM: Ultimate Compression of Large Language Models via Meta Networks
AAAI 2026
SACodec: Asymmetric Quantization with Semantic Anchoring for Low-Bitrate High-Fidelity Neural Speech Codecs
AAAI 2026
DepMGNN: Matrixial Graph Neural Network for Video-based Automatic Depression Assessment
AAAI 2025
UNICL-SAM: Uncertainty-Driven In-Context Segmentation with Part Prototype Discovery
CVPR 2025
DiC: Rethinking Conv3x3 Designs in Diffusion Models
CVPR 2025
MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles
ICML 2025
SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs
ICML 2025
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking
NIPS 2024
Domain Separation Graph Neural Networks for Saliency Object Ranking
CVPR 2024
The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates
INTERSPEECH 2021
Uncertainty-Aware COVID-19 Detection from Imbalanced Sound Data
INTERSPEECH 2021
An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety
INTERSPEECH 2020
Enhancing Transferability of Black-Box Adversarial Attacks via Lifelong Learning for Speech Emotion Recognition Models
INTERSPEECH 2020
Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech
INTERSPEECH 2018
Evolving Learning for Analysing Mood-Related Infant Vocalisation
INTERSPEECH 2018
Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks
INTERSPEECH 2016