From the 3 of 12 papers with an AI index.
9 citations
- Shanghai Jiao Tong UniversityCN2 papers
- Beihang UniversityCN1 paper
- China Electronics Technology Group CorporationCN1 paper
- Cloud Computing CenterCN1 paper
- Fuzhou UniversityCN1 paper
- Hong Kong Footwear FederationCN1 paper
- Horizon Robotics (China)1 paper
- Louisiana State UniversityUS1 paper
- National Institute of Information and Communications TechnologyJP1 paper
- New York University ShanghaiCN1 paper
- Peking UniversityCN1 paper
- Renmin University of ChinaCN1 paper
12 papers
FunnelCausalNet: Funnel-aware Joint Conversion-Revenue Uplift for Multi-tier Coupon Allocation
Yu Zhang, Zhihan Wang, Guanlin Chen +2
Coupon campaigns seek to lift both conversion and revenue, but gross merchandise value (GMV) follows a deterministic funnel from conversion to conditional order value and is zero-i…
FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows
Bo Deng, Kang Zhou, Lifan Guo +6
Most agent benchmarks evaluate tasks independently and cannot measure whether experience from one task helps with later tasks. Existing self-evolution benchmarks do not jointly cov…
CKV: Compressed and Composable KV Cache Reuse for Efficient LLM Inference
Chuheng Du, Junyi Chen, Hanlin Tang +7
Long-context inference is central to modern large language model (LLM) applications such as retrieval-augmented generation and multi-document reasoning. To mitigate the growing inf…
TMallGS: Scaling Unified Feature and Sequence Modeling for Generative E-commerce Search
Zhentao Song, Yufeng Gao, Xing Fang +5
The paper introduces TMallGS, a transformer-based ranking architecture for e‑commerce search that combines specialized tokenization, field‑adaptive transformers, and bias‑aware tra…
Learning to Forget: Satiation-Aware Long-Sequence Transducers for Mitigating Post-Purchase Redundancy
Yipin Dai, Ruocong Tang, Xing Fang +4
The paper introduces a satiation-aware framework for sequential recommendation that detects when a purchase satisfies a user’s intent and temporarily suppresses related items, then…
Cheaper is Better: A Discount-Aware Network for Conversion Rate Prediction in E-commerce Recommendation System
Ruocong Tang, Yang Huang, Xing Fang +3
The paper introduces a Discount-Aware Network (DANet) that incorporates item discount information via Fourier-based time‑frequency analysis and bias‑mitigation modules to improve p…