Zhenhua Dong
33 papers · 2020–2026 · 9 venues · across top CS/AI venues
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Machine Learning
(24)
Artificial Intelligence
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Deep Learning
(12)
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(9)
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(9)
Data Science & Analytics
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Natural Language Processing
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large language model
(6)
recommendation system
(5)
recommender system
(5)
benchmark evaluation
(3)
attention mechanism
(3)
causal inference
(3)
information retrieval
(2)
neural network
(2)
post-training quantization
(2)
representation learning
(2)
influence function
(2)
multimodal large language model
(2)
source bia
(2)
multimodal learning
(2)
optimal transport
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semantic matching
(2)
imitation learning
(1)
online learning
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contrastive learning
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Papers
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
REACTION: Parameter-Efficient Learning for Recommendation
AAAI 2026
Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats
ACL 2026
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization
AAAI 2025
Breaking the Self-Evaluation Barrier: Reinforced Neuro-Symbolic Planning with Large Language Models
IJCAI 2025
CART: A Generative Cross-Modal Retrieval Framework With Coarse-To-Fine Semantic Modeling
ACL 2025
Enhancing Multimodal Unified Representations for Cross Modal Generalization
ACL 2025
Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
ACL 2025
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment
EMNLP 2025
Improving Retrospective Language Agents via Joint Policy Gradient Optimization
NAACL 2025
MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
ACL 2025
MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation
ACL 2025
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
ICLR 2025
Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision
EMNLP 2025
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
EMNLP 2025
SocialEval: Evaluating Social Intelligence of Large Language Models
ACL 2025
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration
ACL 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
AAAI 2024
Conditional counterfactual causal effect for individual attribution
UAI 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
AAAI 2023
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
AAAI 2023
Multiple Robust Learning for Recommendation
AAAI 2023
Optimal Transport for Treatment Effect Estimation
NeurIPS 2023
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths
NeurIPS 2023
How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis
ACL 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
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching
COLING 2022
Semantic Sentence Matching via Interacting Syntax Graphs
COLING 2022
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation
AAAI 2021
Less Is Better: Unweighted Data Subsampling via Influence Function
AAAI 2020
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation
AAAI 2020