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2020 – today
- 2026
[c19]Xing Tang, Hao Chen, Shiwei Li, Fuyuan Lyu, Weijie Shi, Lingjie Li, Dugang Liu, Weihong Luo, Xiku Du, Xiuqiang He:
Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA. WWW 2026: 7821-7832- [i29]Linfeng Du, Ye Yuan, Zichen Zhao, Fuyuan Lyu, Emiliano Penaloza, Xiuying Chen, Zipeng Sun, Jikun Kang, Laurent Charlin, Xue Liu, Haolun Wu:
Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented LLM Personalization. CoRR abs/2601.12078 (2026) - [i28]Fuyuan Lyu, Chenglin Luo, Qiyuan Zhang, Yupeng Hou, Haolun Wu, Xing Tang, Xue Liu, Jin L. C. Guo, Xiuqiang He:
Give Users the Wheel: Towards Promptable Recommendation Paradigm. CoRR abs/2602.18929 (2026) - [i27]Qiyuan Zhang, Junyi Zhou, Yufei Wang, Fuyuan Lyu, Yidong Ming, Can Xu, Qingfeng Sun, Kai Zheng, Peng Kang, Xue Liu, Chen Ma:
RubricBench: Aligning Model-Generated Rubrics with Human Standards. CoRR abs/2603.01562 (2026) - [i26]Huamin Chen, Xunzhuo Liu, Bowei He, Fuyuan Lyu, Yankai Chen, Xue Liu, Yuhan Liu, Junchen Jiang:
The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project. CoRR abs/2603.21354 (2026) - 2025
- [c18]Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma:
Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge. ACL (1) 2025: 5059-5074 - [c17]Xing Tang, Yunpeng Weng, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation. DASFAA (6) 2025: 344-355 - [c16]Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma:
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. ICLR 2025 - [c15]Dugang Liu
, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, Zhong Ming:
Scenario Shared Instance Modeling for Click-through Rate Prediction. KDD (1) 2025: 2436-2447 - [c14]Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, Xing Tang:
Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting. KDD (2) 2025: 4694-4704 - [c13]Xing Tang, Chaohua Yang, Yuwen Fu, Dongyang Ao, Shiwei Li, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction. KDD (2) 2025: 4891-4900 - [c12]Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma:
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. SIGIR 2025: 1229-1239 - [c11]Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue Liu:
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. WSDM 2025: 744-753 - [i25]Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma:
Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge. CoRR abs/2502.12501 (2025) - [i24]Xing Tang, Yunpeng Weng, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation. CoRR abs/2503.03165 (2025) - [i23]Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, Lei Wang, Weixu Zhang, Zhihan Guo, Yufei Wang, Irwin King, Xue Liu, Chen Ma:
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models. CoRR abs/2503.24235 (2025) - [i22]Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, Xing Tang:
Timing is important: Risk-aware Fund Allocation based on Time-Series Forecasting. CoRR abs/2505.24835 (2025) - [i21]Fuyuan Lyu, Zhentai Chen, Jingyan Jiang, Lingjie Li, Xing Tang, Xiuqiang He, Xue Liu:
Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation. CoRR abs/2512.07650 (2025) - 2024
- [j1]Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Bowei He, Bhaskar Mitra, Xue Liu:
Result Diversification in Search and Recommendation: A Survey. IEEE Trans. Knowl. Data Eng. 36(10): 5354-5373 (2024) - [c10]Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He:
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. CIKM 2024: 2523-2533 - [c9]Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma:
Collaborative Performance Prediction for Large Language Models. EMNLP 2024: 2576-2596 - [c8]Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. RecSys 2024: 329-339 - [c7]Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao:
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM 2024: 434-442 - [i20]Tom Tianze Yang, Tim Tianyi Yang, Shaoshan Liu, Fuyuan Lyu, Xue Liu:
ICE-SEARCH: A Language Model-Driven Feature Selection Approach. CoRR abs/2402.18609 (2024) - [i19]Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. CoRR abs/2403.17442 (2024) - [i18]Shaoxiang Qin, Fuyuan Lyu, Wenhui Peng, Dingyang Geng, Ju Wang, Naiping Gao, Xue Liu, Liangzhu Leon Wang:
Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective. CoRR abs/2404.07200 (2024) - [i17]Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma:
Collaborative Performance Prediction for Large Language Models. CoRR abs/2407.01300 (2024) - [i16]Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He:
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. CoRR abs/2408.08585 (2024) - [i15]Shiwei Li, Zhuoqi Hu, Fuyuan Lyu, Xing Tang, Haozhao Wang, Shijie Xu, Weihong Luo, Yuhua Li, Xue Liu, Xiuqiang He, Ruixuan Li:
Mixed-Precision Embeddings for Large-Scale Recommendation Models. CoRR abs/2409.20305 (2024) - [i14]Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma:
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. CoRR abs/2410.05193 (2024) - [i13]Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma:
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. CoRR abs/2410.12229 (2024) - [i12]Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue (Steve) Liu:
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. CoRR abs/2411.15731 (2024) - 2023
- [c6]Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He:
Explicit Feature Interaction-aware Uplift Network for Online Marketing. KDD 2023: 4507-4515 - [c5]Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu:
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. NeurIPS 2023 - [c4]Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. ECML/PKDD (6) 2023: 567-584 - [c3]Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu:
Optimizing Feature Set for Click-Through Rate Prediction. WWW 2023: 3386-3395 - [i11]Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu:
Optimizing Feature Set for Click-Through Rate Prediction. CoRR abs/2301.10909 (2023) - [i10]Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu:
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. CoRR abs/2302.02241 (2023) - [i9]Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He:
Explicit Feature Interaction-aware Uplift Network for Online Marketing. CoRR abs/2306.00315 (2023) - [i8]Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. CoRR abs/2306.13382 (2023) - [i7]Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu:
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. CoRR abs/2310.15342 (2023) - [i6]Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu:
Towards Automated Negative Sampling in Implicit Recommendation. CoRR abs/2311.03526 (2023) - 2022
- [c2]Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu:
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CIKM 2022: 1399-1409 - [c1]Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. ICDE 2022: 1450-1462 - [i5]Yuecai Zhu, Fuyuan Lyu, Chengming Hu, Xi Chen, Xue Liu:
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey. CoRR abs/2203.10480 (2022) - [i4]Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu:
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CoRR abs/2208.04482 (2022) - [i3]Haolun Wu, Yansen Zhang, Chen Ma, Fuyuan Lyu, Fernando Diaz, Xue Liu:
A Survey of Diversification Techniques in Search and Recommendation. CoRR abs/2212.14464 (2022) - 2021
- [i2]Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction. CoRR abs/2108.01265 (2021) - 2020
- [i1]Fuyuan Lyu, Shien Zhu, Weichen Liu:
Cross-filter compression for CNN inference acceleration. CoRR abs/2005.09034 (2020)
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