Tian Xie
16 papers · 2022–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (41) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird ποΈ Keyword Collector (96)
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(11)
Machine Learning
(10)
Artificial Intelligence
(9)
Core AI
(9)
Computer Vision
(7)
Application Areas
(6)
Models
(6)
Generation
(5)
Learning Types Β· Deep Learning
(5)
Core Methods
(4)
Architectures
(3)
Learning Types Β· Machine Learning
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Natural Language Processing
(2)
Keywords
diffusion model
(3)
molecular simulation
(2)
multimodal learning
(2)
algorithmic fairness
(2)
video generation
(2)
text-to-image generation
(1)
global convergence
(1)
policy gradient
(1)
emotion recognition
(1)
global optimization
(1)
image restoration
(1)
image editing
(1)
knowledge distillation
(1)
educational technology
(1)
feature disentanglement
(1)
posterior sampling
(1)
masked training
(1)
knowledge base
(1)
attention mechanism
(1)
non-convex optimization
(1)
Papers
Addressing Polarization and Unfairness in Performative Prediction
AAAI 2026
Mixture of States: Routing Token-Level Dynamics for Multimodal Generation
CVPR 2026
OneStory: Coherent Multi-Shot Video Generation with Adaptive Memory
CVPR 2026
Scaling Zero-Shot Reference-to-Video Generation
CVPR 2026
Adaptive Caching for Faster Video Generation with Diffusion Transformers
ICCV 2025
IDseq: Decoupled and Sequentially Detecting and Grounding Multi-Modal Media Manipulation
AAAI 2025
Improving Pre-trained Language Models with Knowledge Enhancement and Filtering Framework
NAACL 2025
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management
AAAI 2025
Learning Flow Fields in Attention for Controllable Person Image Generation
CVPR 2025
Adaptive Graph Learning for Multimodal Conversational Emotion Detection
AAAI 2024
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
NeurIPS 2024
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design
ICLR 2024
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint
AISTATS 2024
M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery
NeurIPS 2023
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems
EMNLP 2023
Crystal Diffusion Variational Autoencoder for Periodic Material Generation
ICLR 2022