Fan Chen
18 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (5) 🧭 Keyword Pioneer 🏃 Academic Marathon (5) 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (7)
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Academic Marathon
(5)
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Cross-Pollinator
(5)
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Hot Topic Early Bird
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Grand Slam
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(5)
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Century Club
(16)
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Keyword Collector
(79)
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Prolific Year
(5)
Conferences
NIPS (4)
ICCV (3)
ICLR (3)
AAAI (2)
COLT (2)
ACL (1)
CVPR (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
reinforcement learning
(3)
sample complexity
(3)
deep reinforcement learning
(1)
in-context learning
(1)
offline reinforcement learning
(1)
game theory
(1)
knowledge distillation
(1)
image editing
(1)
parallel computing
(1)
multimodal learning
(1)
ridge regression
(1)
attention mechanism
(1)
pac learning
(1)
policy learning
(1)
learning theory
(1)
neural rendering
(1)
computational complexity
(1)
synthetic data generation
(1)
statistical learning
(1)
information theory
(1)
Papers
Deep Reinforcement Learning for Scalable Offline Three-Dimensional Packing
AAAI 2026
CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices
AAAI 2026
D-Attn: Decomposed Attention for Large Vision-and-Language Model
ICCV 2025
DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models
ACL 2025
Decision Making in Changing Environments: Robustness, Query-Based Learning, and Differential Privacy
COLT 2025
SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing
ICCV 2025
Multi-Reward as Condition for Instruction-based Image Editing
ICLR 2025
LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models
ICLR 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
NIPS 2024
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
NIPS 2024
Near-Optimal Learning and Planning in Separated Latent MDPs
COLT 2024
Lower Bounds for Learning in Revealing POMDPs
ICML 2023
Entropic Fictitious Play for Mean Field Optimization Problem
JMLR 2023
ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting
ICCV 2023
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
ICLR 2023
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
NIPS 2023
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP
NIPS 2022
Fast MSER
CVPR 2020