Qingpeng Cai

Heat stress enhances gut microbial arginine catabolism to amplify MyD88-dependent inflammatory responses

Xianxi Ye, Qingpeng Cai, PAN YANGJIE, Minxuan Xu et autres

BACKGROUND: As global temperatures continue to rise, heat stress (HS) has emerged as a major health threat of growing concern. HS triggers systemic inflammation and multi-organ damage, but so far its molecular mechanisms remain unclear. In this study, we explored the potential …

cn (code pays fourni par la source)

Generative Auto-Bidding in Large-Scale Auctions via Diffusion Completer-Aligner

Yewen Li, Jingtong Gao, Peng Jiang, Ruyi An et autres

Bid optimization strategy in auto-bidding is central to computational advertising, achieving notable commercial success by optimizing advertisers' bids within constraints. Recently, generative models have revolutionized auto-bidding by directly learning a policy from large-scale datasets. Among them, the diffuser is superior in tackling …

cn, hk, us, sg (code pays fourni par la source)

Hierarchical Residual Policy Optimization for Generative Recommendations

Kaifeng Guo, Yiming Yang, Jingtong Gao, Guolei Zeng et autres

hk, cn, gb (code pays fourni par la source)

PlatformBid: An Auto-Bidding Benchmark from a Unified Advertising Platform's Perspective

Shengtian Yang, Yewen Li, Peng Jiang, Zhiyi Lyu et autres

Real-time bidding is central to computational advertising, comprising three elements: Supply Side Platform (SSP) selling ad impressions, Demand Side Platform (DSP) bidding for advertisers, and Ad Exchange conducting auctions between them. Traditional auto-bidding algorithms focus solely on the DSP side, maximizing advertiser …

cn, sg (code pays fourni par la source)

PlatformBid: An Auto-Bidding Benchmark from a Unified Advertising Platform's Perspective

Shengtian Yang, Yewen Li, Peng Jiang, Zhiyi Lyu et autres

Real-time bidding is central to computational advertising, comprising three elements: Supply Side Platform (SSP) selling ad impressions, Demand Side Platform (DSP) bidding for advertisers, and Ad Exchange conducting auctions between them. Traditional auto-bidding algorithms focus solely on the DSP side, maximizing advertiser …

PlatformBid: An Auto-Bidding Benchmark from a Unified Advertising Platform's Perspective

Shengtian Yang, Yewen Li, Peng Jiang, Zhiyi Lyu et autres

Real-time bidding is central to computational advertising, comprising three elements: Supply Side Platform (SSP) selling ad impressions, Demand Side Platform (DSP) bidding for advertisers, and Ad Exchange conducting auctions between them. Traditional auto-bidding algorithms focus solely on the DSP side, maximizing advertiser …

cn, sg (code pays fourni par la source)

LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting

Yewen Li, Zhiyi Lyu, Peng Jiang, Qingpeng Cai et autres

The growing scale of ad auctions on online advertising platforms has intensified competition, making manual bidding impractical and necessitating auto-bidding to help advertisers achieve their economic goals. Current auto-bidding methods have evolved to use offline reinforcement learning or generative methods to optimize …

cn, sg (code pays fourni par la source)

LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting

Yewen Li, Zhiyi Lyu, Peng Jiang, Qingpeng Cai et autres

The growing scale of ad auctions on online advertising platforms has intensified competition, making manual bidding impractical and necessitating auto-bidding to help advertisers achieve their economic goals. Current auto-bidding methods have evolved to use offline reinforcement learning or generative methods to optimize …

LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting

Yewen Li, Zhiyi Lyu, Peng Jiang, Qingpeng Cai et autres

The growing scale of ad auctions on online advertising platforms has intensified competition, making manual bidding impractical and necessitating auto-bidding to help advertisers achieve their economic goals. Current auto-bidding methods have evolved to use offline reinforcement learning or generative methods to optimize …

cn, sg (code pays fourni par la source)

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation

Yu Xia, Rui Zhong, Wei Yang, Qingpeng Cai et autres

cn (code pays fourni par la source)

Cohousing with healthy mice alleviates brain disorders in type 1 diabetic mice via regulating the gut microbiota-metabolic axis

Hezhou Zhu, Qihui Zhao, Ming Zhu, Qingpeng Cai et autres

cn (code pays fourni par la source)

MindRec: A Diffusion-driven Coarse-to-Fine Paradigm for Generative Recommendation

Ming Gao, Chongming Gao, Haoyan Liu, Qingpeng Cai et autres

Recent advancements in large language model-based recommendation systems often represent items as text or semantic IDs and generate recommendations in an auto-regressive manner. However, due to the left-to-right greedy decoding strategy and the unidirectional logical flow, such methods often fail to produce …