Kai Zheng
37 papers · 2017–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Conference Polyglot (13)
πΊοΈ
Taxonomy Completionist
(11)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π§¬
Topic Evolution
π
Grand Slam
ποΈ
Keyword Collector
(177)
π
Conference Pioneer
π
Century Club
(36)
π₯
Unstoppable
(9)
π
Trend Setter
β‘
Prolific Year
(7)
Conferences
IJCAI (8)
AAAI (6)
ACL (4)
ICLR (4)
ICML (4)
NIPS (4)
ACML (1)
COLT (1)
EMNLP (1)
NAACL (1)
NSDI (1)
UAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
regret bound
(5)
online learning
(4)
multi-armed bandit
(4)
large language model
(3)
contrastive learning
(3)
recommender system
(3)
differential privacy
(3)
dialogue system
(2)
poi recommendation
(2)
spatial crowdsourcing
(2)
task assignment
(2)
recurrent neural network
(2)
knowledge distillation
(2)
few-shot learning
(2)
knowledge transfer
(2)
weakly supervised learning
(2)
multimodal learning
(2)
combinatorial semi-bandit
(2)
vision transformer
(1)
sequence modeling
(1)
Papers
RubricBench: Aligning Model-Generated Rubrics with Human Standards
ACL 2026
Making Transformer Decoders Better Differentiable Indexers
ICLR 2025
Trigger3:Refining Query Correction via Adaptive Model Selector
AAAI 2025
RecFlow: An Industrial Full Flow Recommendation Dataset
ICLR 2025
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability
ICLR 2025
NEAR: Neural Electromagnetic Array Response
ICML 2025
MaskVD: Region Masking for Efficient Video Object Detection
WACV 2025
Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction
ACL 2024
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
ICLR 2024
Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners
ACL 2023
SlimWiFi: Ultra-Low-Power IoT Radio Architecture Enabled by Asymmetric Communication
NSDI 2023
Multimodal Dialogue Response Generation
ACL 2022
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever
NIPS 2022
MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation
IJCAI 2022
Boosting Contrastive Learning with Relation Knowledge Distillation
AAAI 2022
Knowledge Stimulated Contrastive Prompting for Low-Resource Stance Detection
EMNLP 2022
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure
AAAI 2021
MFNP: A Meta-optimized Model for Few-shot Next POI Recommendation
IJCAI 2021
Combinatorial semi-bandit in the non-stationary environment
UAI 2021
On Layer Normalization in the Transformer Architecture
ICML 2020
(Locally) Differentially Private Combinatorial Semi-Bandits
ICML 2020
Bilinear Graph Neural Network with Neighbor Interactions
IJCAI 2020
Discovering Subsequence Patterns for Next POI Recommendation
IJCAI 2020
Locally Differentially Private (Contextual) Bandits Learning
NIPS 2020
Profit-driven Task Assignment in Spatial Crowdsourcing
IJCAI 2019
Learning Transferable Self-Attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
AAAI 2019
The Strength of the Weakest Supervision: Topic Classification Using Class Labels
NAACL 2019
DMRAN:A Hierarchical Fine-Grained Attention-Based Network for Recommendation
IJCAI 2019
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer
AAAI 2019
Preference-Aware Task Assignment in Spatial Crowdsourcing
AAAI 2019
Equipping Experts/Bandits with Long-term Memory
NIPS 2019
Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints
COLT 2018
LC-RNN: A Deep Learning Model for Traffic Speed Prediction
IJCAI 2018
A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA
ACML 2018
Efficient Online Portfolio with Logarithmic Regret
NIPS 2018
Efficient Private ERM for Smooth Objectives
IJCAI 2017
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible
ICML 2017