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Fan Chen

18 papers · 2020–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🐝 Cross-Pollinator (5) 🧭 Keyword Pioneer 🏃 Academic Marathon (5) 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (7)
🏃 Academic Marathon (5) 🐝 Cross-Pollinator (5) 🐣 Hot Topic Early Bird 🏆 Grand Slam 👑 Triple Crown 🔥 Unstoppable (5) 💎 Century Club (16) 🗃️ Keyword Collector (79) Prolific Year (5)

Conferences

NIPS (4) ICCV (3) ICLR (3) AAAI (2) COLT (2) ACL (1) CVPR (1) ICML (1) JMLR (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