Shicheng Li
14 papers · 2021–2026 · 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
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π€
Dynamic Duo
(11)
π§¬
Topic Evolution
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(55)
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Core AI
(7)
Natural Language Processing
(6)
Deep Learning
(5)
Resources & Methods
(5)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Computer Vision
(2)
Application Areas
(2)
Core Methods
(2)
Models
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Reinforcement Learning
(1)
Keywords
multimodal learning
(3)
multimodal large language model
(3)
supervised fine-tuning
(2)
video large language model
(2)
large language model
(2)
video understanding
(2)
representation learning
(2)
preference learning
(2)
video captioning
(1)
direct preference optimization
(1)
reinforcement learning
(1)
question answering
(1)
visual grounding
(1)
object localization
(1)
portfolio selection
(1)
preference alignment
(1)
time series forecasting
(1)
temporal perception
(1)
knowledge distillation
(1)
importance sampling
(1)
Papers
GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation
CVPR 2026
TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment
AAAI 2026
AlphaGAT: A Two-Stage Learning Approach for Adaptive Portfolio Selection
IJCAI 2025
ATLANTIS: Weak-to-Strong Learning via Importance Sampling
ACL 2025
PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension
ACL 2025
Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM
COLING 2024
TempCompass: Do Video LLMs Really Understand Videos?
ACL 2024
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
CVPR 2024
VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models
ECCV 2024
FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation
NeurIPS 2023
TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding
EMNLP 2023
No Stock is an Island: Learning Internal and Relational Attributes of Stocks with Contrastive Learning
EMNLP 2022
Multi-Granularity Contrasting for Cross-Lingual Pre-Training
ACL 2021
Rethinking Denoised Auto-Encoding in Language Pre-Training
EMNLP 2021