Researcher — paper.dinq.me

2026 顶会论文

作者位次 #8/9ICML 2026Poster· General Machine Learning / Causality

Spiked-CFR: Causal Representation Learning from LLMs via Wasserstein Projection Pursuit

Fan Wang · Hengyu Yue · Yu Bowen · Weiming Liu · Zongxin Yang · Xuyun Zhang · Xiaolin Zheng · Chaochao Chen · Shuiguang Deng

可解释性OpenReview

作者位次 #7/7ICML 2026Poster· Social Aspects / Privacy

Leveraging Machine Unlearning for Cost-Efficient Preference Alignment

XiaoHua Feng · Yuyuan Li · HuWei Ji · Li Zhang · Jiaming Zhang · Tianyu Du · Chaochao Chen

对齐与偏好安全效率与系统OpenReview

作者位次 #6/6ICML 2026Poster· Social Aspects / Fairness

Demystifying the Optimal Fair Classifier in Multi-Class Classification

Li Zhang · Yuyuan Li · XiaoHua Feng · Jiaming Zhang · Fengyuan Yu · Chaochao Chen

社会与人本OpenReview

作者位次 #5/5ICML 2026Poster· Social Aspects / Fairness

Test-Time Debiasing with Probabilistic Prompts via Wasserstein Distance in Vision-Language Models

Chengye Wang · Yuyuan Li · XiaoHua Feng · Xiaolin Zheng · Chaochao Chen

社会与人本多模态OpenReview

作者位次 #6/7ICML 2026Poster· Social Aspects / Safety

Preference-Calibrated Optimization with Score-Level Distribution Alignment for Text-to-Image Diffusion Model Unlearning

Xiuyuan Wang · Weiming Liu · Hongyu Cai · Xin Gao · Fan Wang · Chaochao Chen · Xiaolin Zheng

对齐与偏好安全多模态OpenReview

作者位次 #7/7KDD 2026Oral· Knowledge Discovery & Data Mining

ReSOT: Re-balance Semantic ID with Optimal Transport for Generative Recommendation

Renwu Geng · Yiming Xu · Fengxin Li · Fan Wang · Xiang Liu · Jun Wang · Chaochao Chen

检索与知识OpenReview

作者位次 #5/5KDD 2026Oral· Knowledge Discovery & Data Mining

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation

HuWei Ji · Jiajie Su · Yuyuan Li · XiaoHua Feng · Chaochao Chen

检索与知识OpenReview

作者位次 #6/6KDD 2026Oral· Knowledge Discovery & Data Mining

SCALE: Sharpness-Aware Correction for Addressing Long-Tail Effects in Combinatorial Medication Recommendation

XiaoHua Feng · Yuyuan Li · Jiaming Zhang · Li Zhang · Yanchao Tan · Chaochao Chen

检索与知识OpenReview

作者位次 #6/6KDD 2026Oral· Knowledge Discovery & Data Mining

MAPPE: Rethinking and Improving Fairness in LLMs for Medicine via Minimax Preference-based Prompt Evolution

Jiaming Zhang · Yuyuan Li · XiaoHua Feng · Li Zhang · Zhen Huang · Chaochao Chen

对齐与偏好检索与知识社会与人本OpenReview

作者位次 #5/7AAAI 2026Poster· Artificial Intelligence

Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning

Rui Ou · Kun Zhu · Nana Zhang · Jiangtong Li · Chaochao Chen · Yuhua Xu · Changjun Jiang

OpenReview

作者位次 #9/9AAAI 2026Poster· Artificial Intelligence

Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm

Jiajie Su · Zihan Nan · Yunshan Ma · Xiaobo Xia · XiaoHua Feng · Weiming Liu · Xiang Chen · Xiaolin Zheng · Chaochao Chen

强化学习与后训练OpenReview

作者位次 #10/10AAAI 2026Poster· Artificial Intelligence

FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training

Yuyuan Li · Junjie Fang · Fengyuan Yu · Xichun Sheng · Tianyu Du · Xuyang Teng · Shaowei Jiang · Linbo Jiang · Jianan Lin · Chaochao Chen

安全OpenReview

作者位次 #8/8AAAI 2026Poster· Artificial Intelligence

TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models

Li Zhang · Zhongxuan Han · XiaoHua Feng · Jiaming Zhang · Yuyuan Li · Linbo Jiang · Jianan Lin · Chaochao Chen

多模态OpenReview

Chaochao Chen

获取完整研究档案

联系方式

2026 顶会论文

Spiked-CFR: Causal Representation Learning from LLMs via Wasserstein Projection Pursuit

Leveraging Machine Unlearning for Cost-Efficient Preference Alignment

Demystifying the Optimal Fair Classifier in Multi-Class Classification

Test-Time Debiasing with Probabilistic Prompts via Wasserstein Distance in Vision-Language Models

Preference-Calibrated Optimization with Score-Level Distribution Alignment for Text-to-Image Diffusion Model Unlearning

ReSOT: Re-balance Semantic ID with Optimal Transport for Generative Recommendation

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation

SCALE: Sharpness-Aware Correction for Addressing Long-Tail Effects in Combinatorial Medication Recommendation

MAPPE: Rethinking and Improving Fairness in LLMs for Medicine via Minimax Preference-based Prompt Evolution

Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning

Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm

FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training

TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models

常见合作者