Zhankui He
8 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird
🚀
Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(4)
Data Science & Analytics
(3)
Deep Learning
(3)
Natural Language Processing
(3)
Application Areas
(3)
Applications · Data Science & Analytics
(3)
Generation
(2)
Learning Types · Deep Learning
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Applications · Natural Language Processing
(1)
Learning Paradigms
(1)
Keywords
large language model
(3)
conversational recommendation
(2)
language model
(2)
text generation
(2)
ensemble learning
(1)
collaborative filtering
(1)
reinforcement learning
(1)
student network
(1)
reward modeling
(1)
toxicity detection
(1)
explanation generation
(1)
deep learning
(1)
human behavior
(1)
deep neural network
(1)
sequential recommendation
(1)
knowledge distillation
(1)
bias mitigation
(1)
action sequence
(1)
self-supervised learning
(1)
adversarial learning
(1)
Papers
Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
ACL 2026
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
ICML 2025
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback
NAACL 2024
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
AAAI 2024
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
NAACL 2024
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
AAAI 2024
Leashing the Inner Demons: Self-Detoxification for Language Models
AAAI 2022
MEAL: Multi-Model Ensemble via Adversarial Learning
AAAI 2019