Design of Delayed Ternary PUF Circuit Based on CNFET. - Zhengyang He; Kai Ren 003; Jiayan Chen; Xinyi Dai; Zhao Pan 001; Yuejun Zhang (APCC, 2018)

Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. - Haokun Chen; Xinyi Dai; Han Cai; Weinan Zhang 001; Xuejian Wang; Ruiming Tang; Yuzhou Zhang; Yong Yu 001 (AAAI, 2019)

Semi-supervised deep embedded clustering. - Yazhou Ren 001; Kangrong Hu; Xinyi Dai; Lili Pan 001; Steven C. H. Hoi; Zenglin Xu (Neurocomputing, 2019)

U-rank: Utility-oriented Learning to Rank with Implicit Feedback. - Xinyi Dai; Jiawei Hou; Qing Liu 020; Yunjia Xi; Ruiming Tang; Weinan Zhang 001; Xiuqiang He 001; Jun Wang 012; Yong Yu 001 (CIKM, 2020)

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. - Sijin Zhou; Xinyi Dai; Haokun Chen; Weinan Zhang 001; Kan Ren; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (SIGIR, 2020)

A Graph-Enhanced Click Model for Web Search. - Jianghao Lin; Weiwen Liu; Xinyi Dai; Weinan Zhang 001; Shuai Li 010; Ruiming Tang; Xiuqiang He 001; Jianye Hao; Yong Yu 001 (SIGIR, 2021)

An Adversarial Imitation Click Model for Information Retrieval. - Xinyi Dai; Jianghao Lin; Weinan Zhang 001; Shuai Li 010; Weiwen Liu; Ruiming Tang; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Yong Yu 001 (WWW, 2021)

Context-aware Reranking with Utility Maximization for Recommendation. - Yunjia Xi; Weiwen Liu; Xinyi Dai; Ruiming Tang; Weinan Zhang 001; Qing Liu 020; Xiuqiang He 001; Yong Yu 001 (CoRR, 2021)

Towards Return Parity in Markov Decision Processes. - Jianfeng Chi; Jian Shen 003; Xinyi Dai; Weinan Zhang 001; Yuan Tian 001; Han Zhao 002 (AISTATS, 2022)

Multi-Level Interaction Reranking with User Behavior History. - Yunjia Xi; Weiwen Liu; Jieming Zhu; Xilong Zhao; Xinyi Dai; Ruiming Tang; Weinan Zhang 001; Rui Zhang 003; Yong Yu 001 (SIGIR, 2022)

An advanced combination of semi-supervised Normalizing Flow & Yolo (YoloNF) to detect and recognize vehicle license plates. - Khalid Oublal; Xinyi Dai (CoRR, 2022)

A co-word analysis of museum tourism experience via hierarchy of needs: Case study of the China Block Printing Museum at Yangzhou. - Xinyi Dai; Lei Xu; Jia Liu (J. Comput. Methods Sci. Eng., 2022)

Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. - Xinyi Dai; Yunjia Xi; Weinan Zhang 001; Qing Liu 020; Ruiming Tang; Xiuqiang He 001; Jiawei Hou; Jun Wang 012; Yong Yu 001 (ACM Trans. Inf. Syst., 2022)

Work with AI and Work for AI: Autonomous Vehicle Safety Drivers' Lived Experiences. - Mengdi Chu; Keyu Zong; Xin Shu; Jiangtao Gong; Zhicong Lu; Kaimin Guo; Xinyi Dai; Guyue Zhou (CHI, 2023)

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. - Weitong Ou; Bo Chen 023; Weiwen Liu; Xinyi Dai; Weinan Zhang 001; Wei Xia 001; Xuan Li; Ruiming Tang; Yong Yu 001 (CIKM, 2023)

Adversarially Trained Environment Models Are Effective Policy Evaluators and Improvers - An Application to Information Retrieval. - Yao Li; Yifan Liu 008; Xinyi Dai; Jianghao Lin; Hang Lai; Yunfei Liu 002; Yong Yu 001 (DAI, 2023)

Personalized Diversification for Neural Re-ranking in Recommendation. - Weiwen Liu; Yunjia Xi; Jiarui Qin; Xinyi Dai; Ruiming Tang; Shuai Li 010; Weinan Zhang 001; Rui Zhang 003 (ICDE, 2023)

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. - Jianghao Lin; Yanru Qu; Wei Guo 006; Xinyi Dai; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (KDD, 2023)

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. - Weitong Ou; Bo Chen 023; Yingxuan Yang; Xinyi Dai; Weiwen Liu; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (KDD, 2023)

A Bird's-eye View of Reranking: From List Level to Page Level. - Yunjia Xi; Jianghao Lin; Weiwen Liu; Xinyi Dai; Weinan Zhang 001; Rui Zhang 003; Ruiming Tang; Yong Yu 001 (WSDM, 2023)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; Ruiming Tang; Weinan Zhang 001 (CoRR, 2023)

Urban Built Environment Assessment Based on Scene Understanding of High-Resolution Remote Sensing Imagery. - Jie Chen 048; Xinyi Dai; Ya Guo 002; Jingru Zhu; Xiaoming Mei; Min Deng; Geng Sun 005 (Remote. Sens., 2023)

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. - Kounianhua Du; Jizheng Chen; Jianghao Lin; Yunjia Xi; Hangyu Wang; Xinyi Dai; Bo Chen 023; Ruiming Tang; Weinan Zhang 001 (KDD, 2024)

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. - Yang Yang 001; Bo Chen 023; Chenxu Zhu; Menghui Zhu; Xinyi Dai; Huifeng Guo; Muyu Zhang; Zhenhua Dong; Ruiming Tang (RecSys, 2024)

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. - Jianghao Lin; Bo Chen 023; Hangyu Wang; Yunjia Xi; Yanru Qu; Xinyi Dai; Kangning Zhang; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (WWW, 2024)

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. - Wenlin Zhang; Chuhan Wu; Xiangyang Li; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. - Bo Chen 023; Xinyi Dai; Huifeng Guo; Wei Guo 006; Weiwen Liu; Yong Liu 020; Jiarui Qin; Ruiming Tang; Yichao Wang 002; Chuhan Wu; Yaxiong Wu 005; Hao Zhang 048 (CoRR, 2024)

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation. - Jiachen Zhu 001; Jianghao Lin; Xinyi Dai; Bo Chen 023; Rong Shan; Jieming Zhu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation. - Qingyao Li; Wei Xia 001; Kounianhua Du; Xinyi Dai; Ruiming Tang; Yasheng Wang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

A Survey on Bid Optimization in Real-Time Bidding Display Advertising. - Weitong Ou; Bo Chen 023; Xinyi Dai; Weinan Zhang 001; Weiwen Liu; Ruiming Tang; Yong Yu 001 (ACM Trans. Knowl. Discov. Data, 2024)

Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. - Zhengbang Zhu; Rongjun Qin; Junjie Huang; Xinyi Dai; Yang Yu 001; Yong Yu 001; Weinan Zhang 001 (ACM Trans. Inf. Syst., 2024)

Utility-Oriented Reranking with Counterfactual Context. - Yunjia Xi; Weiwen Liu; Xinyi Dai; Ruiming Tang; Qing Liu 020; Weinan Zhang 001; Yong Yu 001 (ACM Trans. Knowl. Discov. Data, 2024)

DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation. - Jizheng Chen; Kounianhua Du; Xinyi Dai; Weiming Zhang; Xihuai Wang; Yasheng Wang; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (ACL (1), 2025)

Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. - Kounianhua Du; Hanjing Wang; Jianxing Liu; Jizheng Chen; Xinyi Dai; Yasheng Wang; Ruiming Tang; Yong Yu 001; Jun Wang 012; Weinan Zhang 001 (ACL (Findings), 2025)

Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction. - Yuxin Jiang; Yufei Wang 005; Chuhan Wu; Xinyi Dai; Yan Xu; Weinan Gan; Yasheng Wang; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Wei Wang (ACL (Findings), 2025)

CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation. - Qingyao Li; Xinyi Dai; Xiangyang Li; Weinan Zhang 001; Yasheng Wang; Ruiming Tang; Yong Yu 001 (ACL (Findings), 2025)

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models. - Xiangyang Li; Kuicai Dong; Yi Quan Lee; Wei Xia 001; Hao Zhang 048; Xinyi Dai; Yasheng Wang; Ruiming Tang (ACL (1), 2025)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations. - Wenlin Zhang; Chuhan Wu; Xiangyang Li; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (COLING, 2025)

A Survey on Multi-Turn Interaction Capabilities of Large Language Models. - Chen Zhang 003; Xinyi Dai; Yaxiong Wu 005; Qu Yang; Yasheng Wang; Ruiming Tang; Yong Liu 020 (CoRR, 2025)

LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models. - Ruiming Tang; Chenxu Zhu; Bo Chen 023; Weipeng Zhang; Menghui Zhu; Xinyi Dai; Huifeng Guo (CoRR, 2025)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Hao Zhang 048; Yong Liu 020; Chuhan Wu; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; et al. (ACM Trans. Inf. Syst., 2025)

AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing. - Lingyue Fu; Ting Long; Jianghao Lin; Wei Xia 001; Xinyi Dai; Ruiming Tang; Yasheng Wang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2025)

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. - Yichun Yin; Wenyong Huang; Kaikai Song; Yehui Tang; Xueyu Wu; Wei Guo 006; Peng Guo; Yaoyuan Wang; Xiaojun Meng; Yasheng Wang; Dong Li 016; Can Chen; et al. (CoRR, 2025)

Large language models make sample-efficient recommender systems. - Jianghao Lin; Xinyi Dai; Rong Shan; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (Frontiers Comput. Sci., 2025)

NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging. - Weiming Zhang; Qingyao Li; Xinyi Dai; Jizheng Chen; Kounianhua Du; Weinan Zhang 001; Weiwen Liu; Yasheng Wang; Ruiming Tang; Yong Yu 001 (CoRR, 2025)

Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition? - Xiangyang Li; Xiaopeng Li; Kuicai Dong; Quanhu Zhang; Rongju Ruan; Xinyi Dai; Xiaoshuang Liu; Shengchun Xu; Yasheng Wang; Ruiming Tang (CoRR, 2025)

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models. - Jianghao Lin; Xinyuan Wang; Xinyi Dai; Menghui Zhu; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models. - Congmin Zheng; Jiachen Zhu 001; Jianghao Lin; Xinyi Dai; Yong Yu 001; Weinan Zhang 001; Mengyue Yang (CoRR, 2025)