papers

Publications (44)

cs.CL2026

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

Yewen Li, Zhiyi Lyu, Peng Jiang +3

cs.LG2024

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy

Peng Cui, Yiming Yang, Fusheng Jin +8

cs.GT2019

Optimized Cost per Click in Taobao Display Advertising

Han Zhu, Junqi Jin, Chang Tan +4

cs.CL2026

Should Missing Modalities Always Be Necessary to Repair for Multi-modal Sentiment Analysis?

Yubo Gao, Haotian Wu, Xiaoyu Xu +9

cs.CV2024

Fine-grained Background Representation for Weakly Supervised Semantic Segmentation

Xu Yin, Woobin Im, Dongbo Min +3

cs.IR2026

Hierarchical Semantic RL: Tackling the Problem of Dynamic Action Space for RL-based Recommendations

Minmao Wang, Xingchen Liu, Shijie Yi +5

cs.DC2023

Reaching Consensus in the Byzantine Empire: A Comprehensive Review of BFT Consensus Algorithms

Gengrui Zhang, Fei Pan, Yunhao Mao +5

cs.RO2024

Robotic transcatheter tricuspid valve replacement with hybrid enhanced intelligence: a new paradigm and first-in-vivo study

Shuangyi Wang, Haichuan Lin, Yiping Xie +10

cs.CV2021

Affinity Fusion Graph-based Framework for Natural Image Segmentation

Yang Zhang, Moyun Liu, Jingwu He +2

cs.CV2021

A Transductive Maximum Margin Classifier for Few-Shot Learning

Fei Pan, Chunlei Xu, Jie Guo +1

cs.CV2019

Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images

Junsik Kim, Tae-Hyun Oh, Seokju Lee +2

cs.CV2024

MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation

Fei Pan, Xu Yin, Seokju Lee +3

cs.CV2022

Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection

Fei Pan, Francois Rameau, Junsik Kim +1

cs.LG2025

Generative Auto-Bidding with Value-Guided Explorations

Jingtong Gao, Yewen Li, Shuai Mao +8

cs.CV2022

ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation

Fei Pan, Sungsu Hur, Seokju Lee +2

cs.CV2020

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision

Fei Pan, Inkyu Shin, Francois Rameau +2

cs.CV2026

Geometric Knowledge-Assisted Federated Dual Knowledge Distillation Approach Towards Remote Sensing Satellite Imagery

Luyao Zou, Fei Pan, Jueying Li +4

cs.AI2026

AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems

Changxin Lao, Fei Pan, Guozhuang Ma +59

cs.CV2023

Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models

Fei Pan, Sangryul Jeon, Brian Wang +2

cs.CV2021

Temporal Alignment Prediction for Few-Shot Video Classification

Fei Pan, Chunlei Xu, Jie Guo +1

cs.IR2021

We Know What You Want: An Advertising Strategy Recommender System for Online Advertising

Liyi Guo, Junqi Jin, Haoqi Zhang +10

cs.AI2025

GAS: Generative Auto-bidding with Post-training Search

Yewen Li, Shuai Mao, Jingtong Gao +6

cs.CV2024

DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation

Sanghyun Jo, Fei Pan, In-Jae Yu +1

cs.DC2023

PrestigeBFT: Revolutionizing View Changes in BFT Consensus Algorithms with Reputation Mechanisms

Gengrui Zhang, Fei Pan, Sofia Tijanic +1

stat.ML2019

Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds

Dagui Chen, Junqi Jin, Weinan Zhang +7

cs.CV2024

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object

Chenshuang Zhang, Fei Pan, Junmo Kim +2

cs.LG2026

SinkRec: Mitigating Semantic State Sink in Long Sequence Recommendation with Memory-Conditioned Gated Delta Networks

Zhuang Zhuang, Zhipeng Wei, Ji Dai +4

cs.DC2023

V-Guard: An Efficient Permissioned Blockchain for Achieving Consensus under Dynamic Memberships in V2X

Gengrui Zhang, Yunhao Mao, Shiquan Zhang +3

cs.DB2018

PanJoin: A Partition-based Adaptive Stream Join

Fei Pan, Hans-Arno Jacobsen

cs.GT2025

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

Yewen Li, Jingtong Gao, Nan Jiang +7

physics.optics2019

Phonon-laser sensing in a hetero optomechanical crystal cavity

Kaiyu Cui, Zhilei Huang, Qiancheng Xu +6

cs.IR2026

ReST: A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation

Hao Jiang, Long Zhang, Guoquan Wang +6

cs.CV2025

OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning

Xu Yin, Fei Pan, Guoyuan An +3

cs.CV2023

Dual-View Selective Instance Segmentation Network for Unstained Live Adherent Cells in Differential Interference Contrast Images

Fei Pan, Yutong Wu, Kangning Cui +9

physics.app-ph2019

Anomalous relation between in-plane and out-of-plane stiffnesses in 2D networked materials

Fei Pan, Feng Zhang, Yuli Chen +3

cs.IR2026

EvoReason: Self-Evolving Reasoning Primitive-Guided On-Policy Distillation for Latent Reasoning in Generative Recommendation

Zhuang Zhuang, Zhipeng Wei, Rongfeng Guo +4

cs.IR2026

Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation

Long Zhang, Hao Jiang, Sheng Yu +3

cs.IR2026

WhisperRec: Latent Reasoning for Efficient Foundation Recommendation Models

Hao Jiang, Peiru Du, Pengfei Yao +10

The paper presents WhisperRec, a framework that compresses teacher-generated chain‑of‑thought explanations into learnable latent tokens, allowing recommendation models to reason in…

#latent reasoning#chain-of-thought#recommendation models#efficiency
cs.IR2026

From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation

Zhi Chen, Minmao Wang, Xingchen Liu +8

The paper introduces a feedback‑driven framework that first extracts user intent and then discovers recommendation policies using outcome‑derived feedback, distilling this knowledg…

#generative recommendation#large language models#feedback‑driven policy discovery#intent modeling
cs.CV2021

Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation

Seokju Lee, Francois Rameau, Fei Pan +1

cs.AI2024

ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising

Ruizhi Wang, Kai Liu, Bingjie Li +4

cs.CV2020

Two-phase Pseudo Label Densification for Self-training based Domain Adaptation

Inkyu Shin, Sanghyun Woo, Fei Pan +1

cs.IR2026

OneReason Technical Report

OneRec Team, Biao Yang, Boyang Ding +81

cs.LG2021

Learning Structures for Deep Neural Networks

Jinhui Yuan, Fei Pan, Chunting Zhou +2