Ting Zhong
36 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π Conference Polyglot (7) π§ Keyword Pioneer π Cross-Pollinator (13)
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Cross-Pollinator
(13)
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Renaissance Researcher
(10)
πΊοΈ
Taxonomy Completionist
(73)
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Conference Loyalist
(25)
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Keyword Champion
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Dynamic Duo
(28)
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Deep Specialist
(10)
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Topic Evolution
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Trend Setter
π₯
Unstoppable
(5)
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Century Club
(34)
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Prolific Year
(11)
ποΈ
Keyword Collector
(172)
Conferences
AAAI (27)
ACL (2)
IJCAI (2)
NIPS (2)
EMNLP (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
graph neural network
(8)
multimodal learning
(4)
domain adaptation
(4)
diffusion model
(3)
generative model
(3)
variational autoencoder
(3)
speech enhancement
(3)
variational inference
(3)
representation learning
(3)
normalizing flow
(2)
contrastive learning
(2)
social network
(2)
probabilistic modeling
(2)
neural ordinary differential equation
(2)
causal inference
(2)
conditional distribution
(2)
manifold learning
(2)
time series
(2)
knowledge distillation
(2)
time series forecasting
(2)
Papers
Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization
AAAI 2026
Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation
AAAI 2026
In-context Prompt-augmented Micro-video Popularity Prediction
AAAI 2025
Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs
ICML 2025
Borrowing Eyes for the Blind Spot: Overcoming Data Scarcity in Malicious Video Detection via Cross-Domain Retrieval Augmentation
ICCV 2025
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning
AAAI 2025
Explainable Earnings Call Representation Learning (Student Abstract)
AAAI 2024
Interpreting Temporal Knowledge Graph Reasoning (Student Abstract)
AAAI 2024
Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection (Student Abstract)
AAAI 2024
Shallow Diffusion for Fast Speech Enhancement (Student Abstract)
AAAI 2024
Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract)
AAAI 2024
Improving IP Geolocation With Target-Centric IP Graph (Student Abstract)
AAAI 2024
Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract)
AAAI 2024
THGFormer: Time-Aware Hypergraph Learning for Multimodal Social Media Popularity Prediction (Student Abstract)
AAAI 2024
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract)
AAAI 2023
Learning Dynamic Temporal Relations with Continuous Graph for Multivariate Time Series Forecasting (Student Abstract)
AAAI 2023
DyCVAE: Learning Dynamic Causal Factors for Non-stationary Series Domain Generalization (Student Abstract)
AAAI 2023
Somali Information Retrieval Corpus: Bridging the Gap between Query Translation and Dedicated Language Resources
EMNLP 2023
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement
NIPS 2023
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning
ACL 2023
Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay
AAAI 2023
Revisiting Denoising Diffusion Probabilistic Models for Speech Enhancement: Condition Collapse, Efficiency and Refinement
AAAI 2023
CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract)
AAAI 2023
Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract)
AAAI 2023
Debiasing Intrinsic Bias and Application Bias Jointly via Invariant Risk Minimization (Student Abstract)
AAAI 2023
Fine-Grained Urban Flow Inference via Normalizing Flow (Student Abstract)
AAAI 2022
A Probabilistic Framework for Land Deformation Prediction (Student Abstract)
AAAI 2022
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
AAAI 2022
Dynamic Manifold Learning for Land Deformation Forecasting
AAAI 2022
Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract)
AAAI 2022
Linking Transformer to Hawkes Process for Information Cascade Prediction (Student Abstract)
AAAI 2022
Learning Latent Seasonal-Trend Representations for Time Series Forecasting
NIPS 2022
Learning Contrastive Multi-View Graphs for Recommendation (Student Abstract)
AAAI 2022
Interpreting Twitter User Geolocation
ACL 2020
Enhancing Urban Flow Maps via Neural ODEs
IJCAI 2020
Trajectory-User Linking via Variational AutoEncoder
IJCAI 2018