Zhenhua Dong
33 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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Interdisciplinary Bridge
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Prolific Year
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Century Club
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Conferences
ACL (11)
AAAI (10)
EMNLP (3)
COLING (2)
IJCAI (2)
NIPS (2)
ICLR (1)
NAACL (1)
UAI (1)
Top co-authors
Keywords
large language model
(6)
recommendation system
(5)
recommender system
(5)
benchmark evaluation
(3)
attention mechanism
(3)
causal inference
(3)
post-training quantization
(2)
neural network
(2)
semantic matching
(2)
representation learning
(2)
influence function
(2)
optimal transport
(2)
multimodal large language model
(2)
imitation learning
(1)
online learning
(1)
contrastive learning
(1)
risk management
(1)
image generation
(1)
sequence modeling
(1)
active learning
(1)
Papers
REACTION: Parameter-Efficient Learning for Recommendation
AAAI 2026
Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats
ACL 2026
Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats
ACL 2026
Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction
AAAI 2026
Enhancing Multimodal Unified Representations for Cross Modal Generalization
ACL 2025
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
AAAI 2025
CART: A Generative Cross-Modal Retrieval Framework With Coarse-To-Fine Semantic Modeling
ACL 2025
SocialEval: Evaluating Social Intelligence of Large Language Models
ACL 2025
MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
ACL 2025
Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
ACL 2025
MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
ACL 2025
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment
EMNLP 2025
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
EMNLP 2025
Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision
EMNLP 2025
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
ICLR 2025
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
IJCAI 2025
Improving Retrospective Language Agents via Joint Policy Gradient Optimization
NAACL 2025
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
AAAI 2024
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
ACL 2024
Optimal Transport for Treatment Effect Estimation
NIPS 2023
Multiple Robust Learning for Recommendation
AAAI 2023
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
AAAI 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
AAAI 2023
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths
NIPS 2023
Conditional counterfactual causal effect for individual attribution
UAI 2023
Semantic Sentence Matching via Interacting Syntax Graphs
COLING 2022
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis
ACL 2022
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching
COLING 2022
MINER: Multi-Interest Matching Network for News Recommendation
ACL 2022
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
IJCAI 2022
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation
AAAI 2021
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation
AAAI 2020
Less Is Better: Unweighted Data Subsampling via Influence Function
AAAI 2020