Lintao Ma
11 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (31) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (59)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(7)
Artificial Intelligence
(5)
Learning Types · Deep Learning
(5)
Data Science & Analytics
(4)
Core AI
(4)
Methods
(4)
Learning Types · Machine Learning
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Analysis
(2)
Application Areas
(2)
Architectures
(2)
Core Methods
(2)
Keywords
time series forecasting
(6)
large language model
(3)
hierarchical forecasting
(2)
object detection
(2)
multi-object tracking
(2)
multivariate time series
(2)
variational inference
(1)
domain generalization
(1)
zero-shot learning
(1)
direct preference optimization
(1)
attention mechanism
(1)
preference optimization
(1)
multimodal learning
(1)
video understanding
(1)
motion estimation
(1)
few-shot learning
(1)
message passing
(1)
time series
(1)
sequential monte carlo
(1)
video tracking
(1)
Papers
LaMP-Val: Large Language Models Empower Personalized Valuation in Auction
EMNLP 2025
Robust Preference Optimization via Dynamic Target Margins
ACL 2025
Temporal Coherent Object Flow for Multi-Object Tracking
AAAI 2025
Continuous Invariance Learning
ICLR 2024
DiffusionTrack: Diffusion Model for Multi-Object Tracking
AAAI 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
AAAI 2024
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
ICLR 2024
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
ICLR 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
ICLR 2024
SLOTH: Structured Learning and Task-Based Optimization for Time Series Forecasting on Hierarchies
AAAI 2023
Memory Augmented State Space Model for Time Series Forecasting
IJCAI 2022