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Author

Peng Jiang

Observed name: Jiang, Peng
ORCID: 0000-0002-2613-5224
Observed ORCID: 0000-0002-2613-5224
OpenAlex ID: A5144204097
Towards Reliable, Scalable, and Value-Aligned Generative Recommendation for Large-Scale Advertising
2026 · Xiao, Yatong, Sheng, Yibo, et al. · arXiv (Cornell University)
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OneLatent: Latent Reasoning for Efficient Foundation Recommendation Models
2026 · Jiang, Hao, Du, Peiru, et al. · arXiv (Cornell University)
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KUAISHOU Explorer LLM-Rec Challenge 2026: Reasoning Generative Recommendation
2026 · Cao, Jiangxia, Peng, Hao, et al. · arXiv (Cornell University)
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AgentLoupe: Kernel-Resident Semantic Causal Labels for AI Agent Observability
2026 · Yifei Bao, Ting Liu, et al. · Workshop on Practical Adoption Challenges of ML for Systems (PACMI)
Dr. Free: You Don't Need Difficulty Rewards for Self-Evolving Search Agents
2026 · Qian, Zhipeng, Liang, Zihan, et al. · arXiv (Cornell University)
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OneBid: A Unified Auto-Bidding Foundation Model for Diverse oCPX Advertising Scenarios
2026 · Li, Yewen, Jiang, Peng, et al. · arXiv (Cornell University)
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AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectories
2026 · Lyu, Zhiyi, Li, Yewen, et al. · arXiv (Cornell University)
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DMRL: Document-Mediated Reinforcement Learning for Skill Optimization in Advertising Recommendation
2026 · Zhang, Wei, Li, Hongji, et al. · arXiv (Cornell University)
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HubMixer: Progressive Latent Hub Mixing for Parameter-Efficient Feature Interaction in Recommendation
2026 · Zhou, Jie, Gong, Zixian, et al. · arXiv (Cornell University)
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TAGR: Temporally Adaptive Generative Recommendation for Industrial Live-Streaming Advertising
2026 · Ye, Wencai, Liu, Guangyi, et al. · arXiv (Cornell University)
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From a Static Multi-Level Small Semantic Codebook to a Dynamic Single-Level Large Semantic Codebook for Generative Recommendation
2026 · Xie, Tianlu, Ku, Xin, et al. · arXiv (Cornell University)
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UniGD: A Unified Generative-Discriminative Framework for Industrial Retrieval
2026 · Ji, Shujie, Kong, Yawei, et al. · arXiv (Cornell University)
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Hierarchical Residual Policy Optimization for Generative Recommendations
2026 · Guo, Kaifeng, Yang, Yiming, et al. · arXiv (Cornell University)
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RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems
2026 · Ling, Haoran, Li, Yuecheng, et al. · arXiv (Cornell University)
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From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation
2026 · Chen, Zhi, Wang, Minmao, et al. · arXiv (Cornell University)
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Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation
2026 · Zhang, Long, Jiang, Hao, et al. · arXiv (Cornell University)
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WhisperRec: Latent Reasoning for Efficient Foundation Recommendation Models
2026 · Jiang, Hao, Du, Peiru, et al. · arXiv (Cornell University)
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PlatformBid: An Auto-Bidding Benchmark from a Unified Advertising Platform's Perspective
2026 · Yang, Shengtian, Li, Yewen, et al. · arXiv (Cornell University)
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ACPO: Asymmetric Credit Policy Optimization via Mode-Local Entropy Surrogate
2026 · Xie, Zijun, You, Yuyang, et al. · arXiv (Cornell University)
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Recommendation as Generation: Unifying Personalized Video Generation and Recommendation at Industrial Scale
2026 · Cheng, Yanhua, Wang, Bo, et al. · arXiv (Cornell University)
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Reinforced Preference Optimization for Reasoning-Augmented Recommendations
2026 · Gao, Jingtong, Song, Zeyu, et al. · arXiv (Cornell University)
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Hierarchical Residual Policy Optimization for Generative Recommendations: KDD 2026 Artifact
2026 · Guo, Kaifeng, Yang, Yiming, et al.
FBOS-RL: Feedback-Driven Bi-Objective Synergistic Reinforcement Learning
2026 · Zhang, Xikai, Li, Yongzhi, et al. · arXiv (Cornell University)
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Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation
2026 · Chen, Jiaju, Gao, Chongming, et al. · arXiv (Cornell University)
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CS3: Efficient Online Capability Synergy for Two-Tower Recommendation
2026 · Wang, Lixiang, Shi, Shaoyun, et al. · arXiv (Cornell University)
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Works count: 40
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