Tianyu Zhang
45 papers · 2019–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (15) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (7)
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Academic Marathon
(7)
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Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(66)
π±
Topic Pioneer
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Grand Slam
π§¬
Topic Evolution
π₯
Mega-Team
(39)
ποΈ
Keyword Collector
(175)
β‘
Prolific Year
(5)
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Conference Pioneer
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Trend Setter
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Century Club
(42)
π₯
Unstoppable
(8)
β
The Questioner
Conferences
ICLR (7)
AAAI (5)
CVPR (4)
EMNLP (4)
ICCV (4)
MICCAI (4)
WACV (4)
IJCAI (3)
ACL (2)
ECCV (2)
ICML (2)
IJCNLP (1)
JMLR (1)
NIPS (1)
NSDI (1)
Top co-authors
Research topics
Keywords
diffusion model
(6)
large language model
(4)
person re-identification
(3)
image editing
(2)
vision transformer
(2)
domain adaptation
(2)
text-to-image generation
(2)
feature extraction
(2)
benchmark evaluation
(2)
metric learning
(2)
attention mechanism
(2)
multimodal learning
(2)
image compression
(2)
image generation
(1)
temporal modeling
(1)
image classification
(1)
few-shot learning
(1)
representation learning
(1)
active learning
(1)
epistemic uncertainty
(1)
Papers
LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence
AAAI 2026
Sketch-Guided Anime Hair Editing Using Multimodal Diffusion Transformer (Student Abstract)
AAAI 2026
AirCopBench: A Benchmark for Multi-drone Collaborative Embodied Perception and Reasoning
AAAI 2026
SVD-Det: A Lightweight Framework for Video Forgery Detection Using Semantic and Visual Defect Cues
WACV 2026
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
ICML 2025
Few-Shot Domain Adaptation for Learned Image Compression
AAAI 2025
Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing
WACV 2025
STRICT: Stress-Test of Rendering Image Containing Text
EMNLP 2025
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
EMNLP 2025
LaMP-Val: Large Language Models Empower Personalized Valuation in Auction
EMNLP 2025
Faster and Better LLMs via Latency-Aware Test-Time Scaling
EMNLP 2025
Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment
ICCV 2025
DiffPCI: Large Motion Point Cloud frame Interpolation with Diffusion Model
ICCV 2025
Aligning Constraint Generation with Design Intent in Parametric CAD
ICCV 2025
StableCodec: Taming One-Step Diffusion for Extreme Image Compression
ICCV 2025
DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation
MICCAI 2025
Neuron-Level Sequential Editing for Large Language Models
ACL 2025
VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text
ICLR 2025
MuPT: A Generative Symbolic Music Pretrained Transformer
ICLR 2025
BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks
ICLR 2025
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
ICLR 2025
Advantage Alignment Algorithms
ICLR 2025
Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI
MICCAI 2024
CAMEL: CAusal Motion Enhancement Tailored for Lifting Text-driven Video Editing
CVPR 2024
Dynamic Prompt Optimizing for Text-to-Image Generation
CVPR 2024
FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation
ECCV 2024
Expected flow networks in stochastic environments and two-player zero-sum games
ICLR 2024
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-guided Model
MICCAI 2024
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
MICCAI 2024
SD-Pose: Structural Discrepancy Aware Category-Level 6D Object Pose Estimation
WACV 2023
PHA: Patch-Wise High-Frequency Augmentation for Transformer-Based Person Re-Identification
CVPR 2023
MFCFlow: A Motion Feature Compensated Multi-Frame Recurrent Network for Optical Flow Estimation
WACV 2023
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure
JMLR 2023
FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
IJCAI 2022
Biological Sequence Design with GFlowNets
ICML 2022
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
ICLR 2022
Learning Contextualized Knowledge Structures for Commonsense Reasoning
IJCNLP 2021
What If We Could Not See? Counterfactual Analysis for Egocentric Action Anticipation
IJCAI 2021
Learning Contextualized Knowledge Structures for Commonsense Reasoning
ACL 2021
UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification
CVPR 2021
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
NIPS 2021
Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes
IJCAI 2020
Single Camera Training for Person Re-Identification
AAAI 2020
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization
ECCV 2020
End-to-end I/O Monitoring on a Leading Supercomputer
NSDI 2019