Jiancan Wu
14 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (27) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (5) π§ Keyword Pioneer
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(13)
π
Grand Slam
β
The Questioner
β‘
Prolific Year
(7)
π
Century Club
(13)
ποΈ
Keyword Collector
(54)
Conferences
NIPS (5)
ACL (3)
ICLR (2)
ICML (2)
AAAI (1)
EMNLP (1)
Top co-authors
Keywords
large language model
(4)
preference modeling
(3)
sequential recommendation
(2)
direct preference optimization
(2)
mathematical reasoning
(1)
constraint satisfaction
(1)
domain generalization
(1)
language model training
(1)
online advertising
(1)
model alignment
(1)
covariate shift
(1)
mutual information
(1)
preference optimization
(1)
distribution shift
(1)
item recommendation
(1)
parameter optimization
(1)
distributionally robust optimization
(1)
data augmentation
(1)
noise robustness
(1)
transfer learning
(1)
Papers
Delayed Feedback Modeling with Influence Functions
AAAI 2026
Robust Preference Optimization via Dynamic Target Margins
ACL 2025
Personal Travel Solver: A Preference-Driven LLM-Solver System for Travel Planning
ACL 2025
LaMP-Val: Large Language Models Empower Personalized Valuation in Auction
EMNLP 2025
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
ICLR 2025
Unified Parameter-Efficient Unlearning for LLMs
ICLR 2025
Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?
ICML 2025
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization
ICML 2025
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
NIPS 2024
$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$
NIPS 2024
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning
ACL 2024
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
NIPS 2023
Understanding Contrastive Learning via Distributionally Robust Optimization
NIPS 2023
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift
NIPS 2023