Peng Jiang

28 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🐝 Cross-Pollinator (14) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🏃 Academic Marathon (12) 🌈 Renaissance Researcher (9)

🌈 Renaissance Researcher (9) 🗺️ Taxonomy Completionist (56) 🧭 Keyword Pioneer 🏆 Keyword Champion 🏆 Grand Slam 🧬 Topic Evolution 💎 Century Club (25) 🗃️ Keyword Collector (120) ⚡ Prolific Year (11) 🚀 Conference Pioneer 📈 Trend Setter

Conferences

AAAI (8) ICCV (5) NIPS (5) ICML (3) NAACL (2) SEMEVAL (2) EMNLP (1) ICLR (1) IJCAI (1)

Top co-authors

Quan Chen (6) Kun Gai (5) Xiandi Jiang (4) Qizhi Lin (4) Qifeng Xiao (4) Changyu Hou (4) Qingpeng Cai (4) Benqi Wang (4) Yixuan Qiao (4) Jun Wang (4)

Research topics

Privacy (1)

Keywords

reinforcement learning (5) large language model (4) recommendation system (3) named entity recognition (3) recommender system (3) model ensemble (2) user simulation (2) zero-shot learning (2) pre-trained language model (2) transfer learning (2) adversarial attack (2) text classification (2) semantic segmentation (2) random walk (2) vertical federated learning (2) ensemble embedding (2) sentiment analysis (1) sequence labeling (1) ensemble learning (1) domain adaptation (1)

Papers

Align³GR: Unified Multi-Level Alignment for LLM-based Generative Recommendation AAAI 2026 Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning AAAI 2026 Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups AAAI 2026 SweetTok: Semantic-Aware Spatial-Temporal Tokenizer for Compact Video Discretization ICCV 2025 D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching AAAI 2025 LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application AAAI 2025 Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion AAAI 2025 LLM-Powered User Simulator for Recommender System AAAI 2025 Improving Preference Alignment of LLM with Inference-Free Self-Refinement EMNLP 2025 Music Grounding by Short Video ICCV 2025 Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads ICML 2025 Learning Monotonic Probabilities with a Generative Cost Model ICML 2025 Learning Cascade Ranking as One Network ICML 2025 Generic Adversarial Attack Framework Against Vertical Federated Learning IJCAI 2025 State Regularized Policy Optimization on Data with Dynamics Shift NIPS 2023 KuaiSim: A Comprehensive Simulator for Recommender Systems NIPS 2023 ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor ICLR 2023 GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection AAAI 2022 Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training NIPS 2022 PA Ph&Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning NAACL 2022 SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models NAACL 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 DifNet: Semantic Segmentation by Diffusion Networks NIPS 2018 A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication NIPS 2018 Generic Promotion of Diffusion-Based Salient Object Detection ICCV 2015 Salient Region Detection by UFO: Uniqueness, Focusness and Objectness ICCV 2013