Lintao Ma
11 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5) π Renaissance Researcher (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(21)
π
Century Club
(11)
β‘
Prolific Year
(6)
Conferences
AAAI (4)
ICLR (4)
ACL (1)
EMNLP (1)
IJCAI (1)
Top co-authors
Keywords
time series forecasting
(3)
large language model
(2)
hierarchical forecasting
(2)
multi-object tracking
(2)
object detection
(2)
model alignment
(1)
video understanding
(1)
motion estimation
(1)
sequential monte carlo
(1)
message passing
(1)
preference optimization
(1)
time series
(1)
optical flow
(1)
preference modeling
(1)
noise robustness
(1)
multivariate time series
(1)
state space model
(1)
diffusion model
(1)
deep neural network
(1)
video tracking
(1)
Papers
Temporal Coherent Object Flow for Multi-Object Tracking
AAAI 2025
Robust Preference Optimization via Dynamic Target Margins
ACL 2025
LaMP-Val: Large Language Models Empower Personalized Valuation in Auction
EMNLP 2025
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
ICLR 2024
Continuous Invariance Learning
ICLR 2024
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
ICLR 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
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
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