Yao Liu

36 papers · 2016–2026 · 13 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (9) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (13) 🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer 👥 Mega-Team (34) 🏆 Grand Slam 🧬 Topic Evolution 🗃️ Keyword Collector (168) ⚡ Prolific Year (5) 🚀 Conference Pioneer 💎 Century Club (33) 🔥 Unstoppable (8) 📈 Trend Setter ❓ The Questioner

Conferences

AAAI (6) EMNLP (6) ICML (5) NIPS (5) ACL (3) ICLR (2) IJCAI (2) UAI (2) AACL (1) ACML (1) CORL (1) IJCNLP (1) NSDI (1)

Top co-authors

Emma Brunskill (7) Rasool Fakoor (6) Xiang Li (5) Omer Gottesman (4) Jiapeng Zhu (4) Yao Cheng (4) Qiao Liu (3) Julian McAuley (3) Jianxiang Yu (3) Kavosh Asadi (3)

Keywords

large language model (6) reinforcement learning (5) importance sampling (4) graph retrieval (3) markov decision process (3) off-policy evaluation (3) knowledge distillation (3) batch reinforcement learning (3) knowledge graph (3) instruction tuning (3) review comment understanding (2) peer review (2) multi-hop reasoning (2) semantic mind graph (2) policy optimization (2) hierarchical background graph (2) few-shot learning (1) iterative optimization (1) semi-supervised learning (1) sparse recovery (1)

Papers

Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation AAAI 2026

Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving AAAI 2026

MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence AAAI 2026

SCE: Semantic Consistency Enhanced Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning EMNLP 2025

SEAGraph: Unveiling the Whole Story of Paper Review Comments AACL 2025

Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph ACL 2025

GEMS: Generation-Based Event Argument Extraction via Multi-perspective Prompts and Ontology Steering ACL 2025

WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning EMNLP 2025

Can Large Language Models Act as Ensembler for Multi-GNNs? EMNLP 2025

Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models EMNLP 2025

AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents ICLR 2025

D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning IJCAI 2025

SEAGraph: Unveiling the Whole Story of Paper Review Comments IJCNLP 2025

patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds AAAI 2024

Cognitive Bias in Decision-Making with LLMs EMNLP 2024

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment ACL 2024

EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data CORL 2024

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models ICLR 2024

Learning the Target Network in Function Space ICML 2024

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation EMNLP 2023

TD Convergence: An Optimization Perspective NIPS 2023

Budgeting Counterfactual for Offline RL NIPS 2023

Generalized Federated Learning via Sharpness Aware Minimization ICML 2022

Provably sample-efficient RL with side information about latent dynamics NIPS 2022

Offline policy optimization with eligible actions UAI 2022

Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing AAAI 2021

Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration NIPS 2020

Comb Decoding towards Collision-Free WiFi NSDI 2020

Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions ICML 2020

Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020

SSAH: Semi-Supervised Adversarial Deep Hashing with Self-Paced Hard Sample Generation AAAI 2020

Combining parametric and nonparametric models for off-policy evaluation ICML 2019

Off-Policy Policy Gradient with Stationary Distribution Correction UAI 2019

Representation Balancing MDPs for Off-policy Policy Evaluation NIPS 2018

A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA ACML 2018

A Decision Procedure for a Fragment of Linear Time Mu-Calculus IJCAI 2016