Peng Jiang
29 papers · 2013–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (61) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Keyword Champion
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Keyword Pioneer
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Topic Evolution
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Century Club Β· Bronze
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Conference Pioneer
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Prolific Year Β· Prolific
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Renaissance Researcher
(8)
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Keyword Collector
(153)
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Top co-authors
Research topics
Machine Learning
(20)
Artificial Intelligence
(14)
Deep Learning
(10)
Application Areas
(10)
Learning Types Β· Machine Learning
(10)
Computer Vision
(9)
Core AI
(9)
Core Methods
(6)
Learning Types Β· Deep Learning
(6)
Reinforcement Learning
(5)
Models
(5)
Processing
(5)
Natural Language Processing
(4)
Analysis
(4)
Learning Paradigms
(4)
Keywords
reinforcement learning
(5)
large language model
(4)
video generation
(4)
recommender system
(3)
recommendation system
(3)
semantic segmentation
(2)
user simulation
(2)
vertical federated learning
(2)
random walk
(2)
adversarial attack
(2)
sequential recommendation
(2)
sequence labeling
(1)
ensemble learning
(1)
sentiment analysis
(1)
domain adaptation
(1)
semi-supervised learning
(1)
transfer learning
(1)
direct preference optimization
(1)
spectral clustering
(1)
zero-shot learning
(1)
Papers
Adaptive Video Distillation: Mitigating Oversaturation and Temporal Collapse in Few-Step Generation
CVPR 2026
AlignΒ³GR: Unified Multi-Level Alignment for LLM-based Generative Recommendation
AAAI 2026
AutoCut: End-to-end advertisement video editing based on multimodal discretization and controllable generation
CVPR 2026
Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups
AAAI 2026
Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning
AAAI 2026
Narrative Weaver: Towards Controllable Long-Range Visual Consistency with Multi-Modal Conditioning
CVPR 2026
D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching
AAAI 2025
Generic Adversarial Attack Framework Against Vertical Federated Learning
IJCAI 2025
Improving Preference Alignment of LLM with Inference-Free Self-Refinement
EMNLP 2025
Learning Cascade Ranking as One Network
ICML 2025
Learning Monotonic Probabilities with a Generative Cost Model
ICML 2025
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
AAAI 2025
LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
AAAI 2025
LLM-Powered User Simulator for Recommender System
AAAI 2025
Music Grounding by Short Video
ICCV 2025
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
ICML 2025
SweetTok: Semantic-Aware Spatial-Temporal Tokenizer for Compact Video Discretization
ICCV 2025
KuaiSim: A Comprehensive Simulator for Recommender Systems
NeurIPS 2023
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
ICLR 2023
State Regularized Policy Optimization on Data with Dynamics Shift
NeurIPS 2023
Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training
NeurIPS 2022
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection
AAAI 2022
PA Ph&Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning
SemEval 2022
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models
SemEval 2022
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
ICCV 2021
A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication
NeurIPS 2018
DifNet: Semantic Segmentation by Diffusion Networks
NeurIPS 2018
Generic Promotion of Diffusion-Based Salient Object Detection
ICCV 2015
Salient Region Detection by UFO: Uniqueness, Focusness and Objectness
ICCV 2013