DL
Dugang Liu
cs.IRcs.LGcs.AIcs.SEcs.CLcs.CEcs.DCcs.PL
On Valency
published · living versionsW_qdccapnf·v1 · currentpublished
DuTri: Dual-Branch Modeling with Triadic Factorization for Multimodal Multi-Scenario Recommendation
with Jintao Huang, Chaohua Yang, Kailiang Hao, Xing Tang +1
1 version
W_bazqgfub·v1published
W_f3ctabf9·v1published
W_nrmmjfab·v1published
Preprints & journals
34 papers in the corpus · 2022–2026VeruSteer: Learning What to Repair Next in Verus2610.29755v1 · Chao Jiang, Ding Wang, Chaohua Yang et al.2026 · 0 citationsarXivon Valency
VerusEval: Evaluating LLM-Generated Verus Specifications Beyond Verifier Acceptance2610.26464v1 · Ding Wang, Chao Jiang, Dugang Liu et al.2026 · 0 citationsarXivon Valency
FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction2605.11433v1 · Jun Zhang, Dugang Liu, Xing Tang et al.2026 · 0 citationsarXiv
HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment2605.11662v1 · Guorui Li, Dugang Liu, Lei Li et al.2026 · 0 citationsarXiv
Large Language Models for Multilingual Code Intelligence: A Survey2604.25960v1 · Chao Jiang, Dugang Liu, Cheng Wen et al.2026 · 1 citationarXiv
From Heuristics to Transformers: A Comprehensive Survey of Type Inference from Stripped Binaries2606.23692v1 · Hua Zheng, Yuhang Guo, Kuanishbay Sadatdiynov et al.2026 · 0 citationsarXiv
Intelligent Approval of Access Control Flow in Office Automation Systems via Relational Modeling2604.11040v1 · Dugang Liu, Zulong Chen, Chuanfei Xu et al.2026 · 0 citationsarXiv
Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation2604.05379v2 · Xing Tang, Ziqiang Cui, Jingyang Bin et al.2026 · 0 citationsarXiv
Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA2604.05387v1 · Xing Tang, Hao Chen, Shiwei Li et al.2026 · 1 citationarXiv
Evaluating Uplift Modeling under Structural Biases: Insights into Metric Stability and Model Robustness2603.20775v2 · Yuxuan Yang, Dugang Liu, Yiyan Huang2026 · 0 citationsarXiv
Enhancing guidance for missing data in diffusion-based sequential recommendation2601.15673v2 · Qilong Yan, Yifei Xing, Dugang Liu et al.2026 · 0 citationsarXiv
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation2512.13396v1 · Chaohua Yang, Dugang Liu, Shiwei Li et al.2025 · 1 citationarXiv
BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity2508.06953v1 · Shiwei Li, Xiandi Luo, Haozhao Wang et al.2025 · 0 citationsarXiv
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation2503.03165v1 · Xing Tang, Yunpeng Weng, Fuyuan Lyu et al.2025 · 0 citationsarXiv
Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing2502.15697v1 · Zexu Sun, Qiyu Han, Minqin Zhu et al.2025 · 4 citationsarXiv
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models2411.15731v1 · Kexin Zhang, Fuyuan Lyu, Xing Tang et al.2024 · 5 citationsarXiv
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems2410.12229v3 · Ziqiang Cui, Yunpeng Weng, Xing Tang et al.2024 · 17 citationsarXiv
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling2408.11623v2 · Zexu Sun, Hao Yang, Dugang Liu et al.2024 · 8 citationsarXiv
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction2408.08585v1 · Yunpeng Weng, Xing Tang, Zhenhao Xu et al.2024 · 5 citationsarXiv
Masked Random Noise for Communication Efficient Federated Learning2408.03220v2 · Shiwei Li, Yingyi Cheng, Haozhao Wang et al.2024 · 7 citationsarXiv
A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation2406.00333v2 · Dugang Liu, Shenxian Xian, Xiaolin Lin et al.2024 · 0 citationsarXiv
Benchmarking for Deep Uplift Modeling in Online Marketing2406.00335v1 · Dugang Liu, Xing Tang, Yang Qiao et al.2024 · 0 citationsarXiv
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation2403.17442v2 · Xing Tang, Yang Qiao, Fuyuan Lyu et al.2024 · 10 citationsarXiv
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms2401.01525v1 · Yunpeng Weng, Xing Tang, Liang Chen et al.2024 · 0 citationsarXiv
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network2310.15342v2 · Fuyuan Lyu, Xing Tang, Dugang Liu et al.2023 · 0 citationsarXiv
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization2310.04693v3 · Zexu Sun, Bowei He, Ming Ma et al.2023 · 7 citationsarXiv
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions2309.01157v2 · Lei Li, Yongfeng Zhang, Dugang Liu et al.2023 · 39 citationsarXiv
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction2306.13382v1 · Xing Tang, Yang Qiao, Yuwen Fu et al.2023 · 5 citationsarXiv
Explicit Feature Interaction-aware Uplift Network for Online Marketing2306.00315v1 · Dugang Liu, Xing Tang, Han Gao et al.2023 · 19 citationsarXiv
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset2303.11574v1 · Dugang Liu, Pengxiang Cheng, Zinan Lin et al.2023 · 13 citationsarXiv
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation2302.03419v1 · Dugang Liu, Yang Qiao, Xing Tang et al.2023 · 2 citationsarXiv
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives2302.02241v1 · Fuyuan Lyu, Xing Tang, Dugang Liu et al.2023 · 1 citationarXiv
Optimizing Feature Set for Click-Through Rate Prediction2301.10909v2 · Fuyuan Lyu, Xing Tang, Dugang Liu et al.2023 · 31 citationsarXiv
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data2207.02773v2 · Dugang Liu, Pengxiang Cheng, Hong Zhu et al.2022 · 8 citationsarXiv
Career total: at least 80 works. 34 are in this corpus.
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