Kun Gai
36 papers · 2010–2026 · 12 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (12)
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Cross-Pollinator
(7)
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Renaissance Researcher
(6)
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Interdisciplinary Bridge
π§¬
Topic Evolution
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Keyword Champion
π€
Dynamic Duo
(12)
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Triple Crown
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Grand Slam
ποΈ
Keyword Collector
(153)
β‘
Prolific Year
(9)
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Conference Pioneer
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Century Club
(31)
Conferences
AAAI (7)
ICML (5)
NIPS (5)
ACL (4)
EMNLP (4)
ICLR (4)
ICCV (2)
COLING (1)
CVPR (1)
IJCAI (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
large language model
(5)
reinforcement learning
(4)
diffusion model
(4)
text generation
(3)
image generation
(3)
instruction tuning
(3)
video generation
(3)
diffusion transformer
(2)
recommender system
(2)
entity labeling
(2)
dialogue system
(2)
language model
(2)
keyword memory
(2)
personalized generation
(1)
context-aware learning
(1)
transfer learning
(1)
attention mechanism
(1)
mathematical reasoning
(1)
policy optimization
(1)
hyperparameter optimization
(1)
Papers
Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings
AAAI 2026
CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
ACL 2026
OneRec-Think: In-Text Reasoning for Generative Recommendation
ACL 2026
LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
AAAI 2026
FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion
AAAI 2026
FullDiT: Video Generative Foundation Models with Multimodal Control via Full Attention
ICCV 2025
Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering
AAAI 2025
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
AAAI 2025
Towards Precise Scaling Laws for Video Diffusion Transformers
CVPR 2025
DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs
EMNLP 2025
Imbalance in Balance: Online Concept Balancing in Generation Models
ICCV 2025
RecFlow: An Industrial Full Flow Recommendation Dataset
ICLR 2025
Making Transformer Decoders Better Differentiable Indexers
ICLR 2025
Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains
ICML 2025
Learning Cascade Ranking as One Network
ICML 2025
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector
EMNLP 2024
DialogBench: Evaluating LLMs as Human-like Dialogue Systems
NAACL 2024
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization
ICLR 2024
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
NIPS 2024
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization
ICML 2024
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models
ACL 2024
Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios
ACL 2024
Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs
COLING 2024
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
EMNLP 2024
KuaiSim: A Comprehensive Simulator for Recommender Systems
NIPS 2023
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
ICLR 2023
State Regularized Policy Optimization on Data with Dynamics Shift
NIPS 2023
Learning Optimal Tree Models under Beam Search
ICML 2020
Progressive Feature Polishing Network for Salient Object Detection
AAAI 2020
Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
IJCAI 2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
ICML 2020
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
NIPS 2019
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation
IJCNLP 2019
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation
EMNLP 2019
Deep Interest Evolution Network for Click-Through Rate Prediction
AAAI 2019
Learning Kernels with Radiuses of Minimum Enclosing Balls
NIPS 2010