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Tao Feng — most-cited papers & profile · Recommender Systems
← authors
·
overview
Tao Feng
40
papers ·
102
citations ·
12
h-index
Hiroshima University · Institute of New Materials · Yunnan University of Finance And Economics
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Most-cited papers
Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning
2025 · 41 citations
Multi-Agent Evolve: LLM Self-Improve through Co-evolution
2025 · 28 citations
CITING: Large Language Models Create Curriculum For Instruction Tuning
2023 · 18 citations
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
2021 · 7 citations
Beyond Policy Optimization: A Data Curation Flywheel for Sparse-Reward Long-Horizon Planning
2025 · 3 citations
Beyond Policy Optimization: A Data Curation Flywheel for Sparse-Reward Long-Horizon Planning
2025 · 3 citations
Learn to Exceed: Stereo Inverse Reinforcement Learning with Concurrent Policy Optimization
2020 · 2 citations
ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding
2026
Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning
2026
RotMoLE: Enhancing Mixture of Low-Rank Experts through Rotational Gating Mechanism
2026
Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
2026
RouteProfile: Elucidating the Design Space of LLM Profiles for Routing
2026
MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels
2026
Probing the Knowledge Boundary: An Interactive Agentic Framework for Deep Knowledge Extraction
2026
MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents
2026
Topics
Evaluation
Training Techniques
Efficiency
Model Architecture
Agentic
Model-Based RL
Policy Gradient
Reinforcement Learning
RAG
Fine-Tuning