collaborators

13 papers

cs.IR2026

A Self-Triggered Agentic Push Recommendation System

Zhao-Yu Zhang, Qingying Chen, Chunyuan Zheng +9

Push notification is a critical recommendation scenario on large-scale platforms, allowing the system to proactively reach users outside the application to improve long-term re-eng…

cs.LG2026

Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation

Xinpeng Lv, Chunyuan Zheng, Yunxin Mao +9

Strategic classification (SC) investigates scenarios where agents manipulate their features to obtain favorable decisions from predictive models. Existing fairness-aware SC approac…

cs.AI2026

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling

Xiaoyan Zhao, Haoting Ni, Yang Zhang +3

Large language models (LLMs) increasingly rely on reward models to align their outputs with diverse user preferences. While personalized reward models aim to capture such heterogen…

cs.AI2026

Beyond Rational Illusion: Behaviorally Realistic Strategic Classification

Xinpeng Lv, Yunxin Mao, Renzhe Xu +11

Strategic classification(SC) studies the interaction between decision models and agents who strategically manipulate their features for favorable outcomes. Existing SC frameworks t…

cs.AI2026

When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach

Xinpeng Lv, Yunxin Mao, Renzhe Xu +13

Tabular foundation models based on pretrained prior-data fitted networks~(PFNs) have shown strong generalization on diverse tabular tasks, but they are typically designed for \emph…

cs.LG2026

Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents

Xinpeng Lv, Chunyuan Zheng, Yunxin Mao +8

Strategic machine learning investigates scenarios where agents manipulate their features to receive favorable decisions from predictive models. To address fairness concerns intrins…