Dugang Liu

(刘杜钢)

Assistant Professor
College of Computer Science and Software Engineering
Shenzhen University
Office: RM715, Zhiteng Building, Yuehai Campus of Shenzhen University
Email: dugang.ldg 'at' gmail.com; liudugang 'at' szu.edu.cn
Google Scholar, Semantic Scholar, DBLP, GitHub

Hello! I am an assistant professor in the College of Computer Science and Software Engineering at Shenzhen University. I earned my Ph.D. from the College of Computer Science and Software Engineering at Shenzhen University, under the supervision of Prof. Zhong Ming and Weike Pan. Before that, I obtained my Master's degree in Computer Science from Xiamen University and my Bachelor's degree in Mathematics from Fujian Normal University.

I lead the Data Decision Intelligence Laboratory (WeChat official account: SZ-DID), and I am broadly interested in Personalized Modeling and Decision, Intelligent Software Services, Mutual Empowerment Between Software Engineering and AI, and LLM/Agent Applications, with a special emphasis on enhancing the responsibility in algorithms to provide fair, trustworthy, effective, efficient and user-centric data value development and application for various practical scenarios. I am open to various kinds of collaborations. If you have any ideas, please contact me.

I am looking for multiple self-motivated Master's and PhD students each year. If you are interested, please contact me.

For Prospective Students

For prospective Master's and PhD students: I am looking for highly self-motivated Master's and PhD students. If you are interested in working with me, please email me with your CV, transcript, a description of your research interests and experience, and your writing samples (e.g., publications, dissertations, project reports, and so on).

For prospective interns: I am also excited to help other students with their research, especially if you plan to apply to graduate programs. Full-time interns will be offered a salary commensurate with their role. If you are interested in working with me, please email me with your CV, transcript, a description of your research interests and experience, and your writing samples (e.g., publications, dissertations, project reports, and so on).

News

11/2026: Two papers on controllable autoregressive retrieval and test-time retrieval-augmentation for recommendation are published in CIKM 2026.
10/2026: Four papers on LLM-assisted formal specification and Rust verification are published in ASE 2026.
10/2026: One paper on empirical study of multilingual code generation and translation is published in ESEM 2026.
10/2026: One paper on program specification synthesis is published in SPLASH 2026.
09/2026: Two papers on popularity debiasing and cross-domain CTR prediction are published in RecSys 2026.
08/2026: Three papers on Rust verification, multi-scenario CTR prediction, and uplift model evaluation are published in KDD 2026.
07/2026: One paper on program specification synthesis is published in ACL 2026, and one paper about Rust proof synthesis is published in TASE 2026.
05/2026: One paper on diffusion-based sequential recommendation is published in ICASSP 2026.
04/2026: Two papers on LLM-enhanced recommendation and LLM Reasoning are accepted by ACL 2026, congratulations to all collaborators!
04/2026: One paper on federal multimarket CTR is accepted by SIGIR 2026, congratulations to my student Jun!
03/2026: Invited to be a reviewer for RecSys 2026 and CIKM 2026.
02/2026: I received the AAAI-26 Outstanding Program Committee Award.
01/2026: One paper on LoRA for finetuing is accepted by ICLR 2026, congratulations to all collaborators!
01/2026: One paper on Function calling for LLM is accepted by WebConf 2026, congratulations to all collaborators!
01/2026: Invited to be a reviewer for UAMP 2026 and Area Chair for KDD 2026 ADS Track.
12/2025: Received recognition as Pengcheng Peacock Plan (Class C) Talent in Shenzhen.
12/2025: Invited to be a reviewer for IJCAI-ECAI 2026, ICML 2026 and SIGIR 2026.
10/2025: One paper on multi-scenario multi-task recommendation is accepted by WSDM 2026, congratulations to my student Chaohua!
09/2025: Invited to be a reviewer for PAKDD 2026.
09/2025: Three papers on (multimodal) large models and sequential recommendations are accepted by NeurIPS 2025.
09/2025: Invited to be a reviewer for WWW 2026 and ICLR 2026.
08/2025: Our work received KSEM 2025 Best Paper Award, congratulations to all collaborators!
08/2025: One paper on secure aggregation of distributed learning is accepted by KSEM 2025, congratulations to all collaborators!
08/2025: Invited to be a reviewer for AISTATS 2026.
07/2025: One paper on embedding quantification in recommendation is accepted by CCIR, congratulations to all collaborators!
07/2025: Invited to be a Area Chair and Senior Area Chair for KDD 2026 ADS Track.
07/2025: Invited to be a reviewer for AAAI 2026 and KDD 2026 Datasets and Benchmarks Track
06/2025: Invited to be a reviewer for WSDM 2026.
05/2025: One paper on cross-domain lifelong behavior modeling is accepted by KDD 2025, congratulations to all collaborators!
05/2025: One paper on robust online marketing is accepted by ICML 2025, congratulations to all collaborators!
05/2025: Invited to be a reviewer for ECAI 2025.
04/2025: Two papers on multi-scenario embedding learning and LLM&KG4Rec are accepted by SIGIR 2025, congratulations to all collaborators!
03/2025: Invited to be a reviewer for ACML 2025, BigData 2025 and CIKM 2025.
02/2025: Invited to be a reviewer for RecSys 2025 and NeurlPS 2025.
01/2025: Invited to be a reviewer for SIGIR 2025 and KDD 2025 Research Track.
01/2025: One paper on fund recommendation is accepted to DASFAA 2025, congratulations to all collaborators!
01/2025: Invited to be the Area Chair for KDD 2025 ADS Track.
01/2025: Invited to be a reviewer for SIGIR 2025.
12/2024: I received certification as an Outstanding Reviewer from ECMLPKDD 2024 and KDD 2025 (both tracks).
12/2024: Invited to be a reviewer for ECMLPKDD 2025, IJCAI 2025, UMAP 2025 and ICML 2025.
11/2024: Two papers on automated multi-scenario instance selection and real-time uplift modeling are accepted by KDD 2025, congratulations to all collaborators!
10/2024: One paper on fusion design of click-through rate prediction model is accepted to WSDM 2025, congratulations to all collaborators!
10/2024: I received the RecSys 2024 Outstanding Reviewer Award.
09/2024: One paper on LLM-enhanced recommendations is accepted by EARL@RecSys 2024, congratulations to my student Shenxian!
09/2024: Invited to be a reviewer for AISTATS 2025.
08/2024: One paper on context-aware recommendation is accepted by ACM TORS, congratulations to my students Shenxian and Yuhao!
08/2024: Invited to be a reviewer for WWW 2025 and ICLR 2025.
07/2024: Two papers on multi-task recommendation with hybrid targets and incentive recommendation are accepted to RecSys 2024, congratulations to all collaborators!
07/2024: One paper on lifetime value prediction is accepted to CIKM 2024, congratulations to all collaborators!
07/2024: One paper on efficiency optimization of federated learning is accepted to MM 2024, congratulations to all collaborators!
07/2024: Invited to be a reviewer for KDD 2025.
06/2024: Invited to be a PC member for AAAI 2025, ACML 2024 and WSDM 2025.
05/2024: Invited to be a reviewer for NeurIPS 2024.
03/2024: One paper on automated user behavior selection is accepted by SIGIR 2024, congratulations to my students Shenxian, Yuhao and Chaohua!
03/2024: Invited to be a PC member for CIKM 2024 and ECMLPKDD 2024.
03/2024: One paper on multi-valued treatment uplift modeling is accepted by DASFAA 2024, congratulations to Zexu!
03/2024: One paper on automated bug detection with LLM is accepted to TKDD, congratulations to all collaborators!
02/2024: Invited to be a PC member for RecSys 2024, BigData 2024 and ICML 2024.
02/2024: One paper on generative recommendation is accepted to LREC-COLING 2024, congratulations to all collaborators!
01/2024: Invited to be a PC member for IJCAI 2024, KDD 2024, MM 2024, and ACL 2024.
10/2023: One paper on automated multi-scenario feature selection is accepted by WSDM 2024, congratulations to my student Chaohua!
09/2023: One paper on automated feature interaction selection is accepted by NeurIPS 2023, congratulations to all collaborators!
09/2023: Our work received RecSys 2023 Best Full Paper Runner-up Award, congratulations to all collaborators!
09/2023: Invited to be a PC member for AISTATS 2024, WWW 2024, and SDM 2024.
09/2023: One paper on uplift modeling is accepted by ICDM 2023, congratulations to Zexu!
08/2023: Received funding from the Youth Project of the National Natural Science Foundation of China.
08/2023: One paper on debiasing recommendation is accepted by Artificial Intelligence, congratulations to Zinan!
07/2023: One paper on debiasing recommendation is accepted by MM 2023, congratulations to all collaborators!
06/2023: One paper on context-aware recommendation is accepted by RecSys 2023, congratulations to all collaborators!
06/2023: One paper on multi-scenario recommendation is accepted by ECMLPKDD 2023, congratulations to all collaborators!
05/2023: One paper on uplift modeling is accepted by KDD 2023, congratulations to all collaborators!

Students

Chaohua Yang, MS/PhD, 09/2022 -

Yuhao Wu, PhD, 09/2023 -

Tianming Ma, PhD, 09/2026 -

Chao Jiang, MS, 09/2024 -

Shuying Jiang, MS, 09/2024 -

Guorui Li, MS, 09/2024 -

Ruilin Yuan, MS, 09/2024 -

Jun Zhang, MS, 09/2024 -

Kailiang Hao, MS, 09/2024 -

Xiongda Chen, MS, 09/2025 -

Hailong Qi, MS, 09/2025 -

Yonglin Wei, MS, 09/2025 -

Ding Wang, MS, 09/2025 -

Jintao Huang, MS, 09/2025 -

Wenxiang Li, MS, 09/2025 -

Zhenwu Cai, MS, 09/2026 -

Jingyue Tan, MS, 09/2026 -

Rongjin Zhong, MS, 09/2026 -

Guangcheng Xiao, MS, 09/2026 -

Miao Liu, MS, 09/2022 - 06/2025. To: Guangming Laboratory

Tingting Song, MS, 09/2022 - 06/2025. To: Guangming Laboratory

Shenxian Xian, MS, 09/2022 - 06/2025. To: Tencent Financial Technology (FiT)

Publications

(Google Scholar) (Semantic Scholar)

[CIKM 2026] Controllable Autoregressive Retrieval with Long-term Action Perception for Recommendations. [paper]
The 35th ACM International Conference on Information and Knowledge Management, 2026.
Jinwei Luo, Dugang Liu, Xing Tang, Xiuqiang He, Renjie Wei, Zhe Wu, Xin Huang, Siliang Huang, Hongcheng Fu.
[CIKM 2026] Retrieve-then-Adapt: Test-Time Retrieval-Augmentation for Sequential Recommendation. [paper] [arxiv version]
The 35th ACM International Conference on Information and Knowledge Management, 2026.
Xing Tang, Jingyang Bin, Ziqiang Cui, Xiaokun Zhang, Fuyuan Lyu, Jingyan Jiang, Dugang Liu, Chen Ma, Ruiming Tang, Xiuqiang He.
[ASE 2026] Beyond Benchmarks: A Case Study of LLM-Generated Verus Specification Failures on Asterinas Vostd. [paper]
The 41st IEEE/ACM International Conference on Automated Software Engineering, 2026.
Dugang Liu, Ding Wang, Chao Jiang, Cheng Wen, Zhiwu Xu, Zhong Ming, Yuwei Liu, Xinyi Wan, Lin Huang.
[ASE 2026] VerusSeek: Retrieval-Augmented LLM-Based Proof Synthesis for Rust Programs. [paper]
The 41st IEEE/ACM International Conference on Automated Software Engineering, 2026.
Yuchen Zhang, Cheng Wen, Jialun Cao, Dugang Liu, Zhiwu Xu, Yuwei Liu, Shengchao Qin.
[ASE 2026] NL2VBench: A Benchmark for End-to-End Natural-Language to Verifiable Rust Generation. [paper]
The 41st IEEE/ACM International Conference on Automated Software Engineering, 2026.
Lianhe Hu, Cheng Wen, Dugang Liu, Zhiwu Xu, Zhuohua Li, Jie Su, Bin Yu, Shengchao Qin.
[ASE 2026] ACSLBench: A Verified C/ACSL Corpus and Benchmark with Compositional Call Chains for Formal Specification Synthesis. [paper]
The 41st IEEE/ACM International Conference on Automated Software Engineering, 2026.
Junjie Hu, Cheng Wen, Bin Yu, Jialun Cao, Dugang Liu, Weidi Sun, Haokun Li, Shengchao Qin, Cong Tian.
[ESEM 2026] An Empirical Study of Problem-Aligned Multilingual Code Generation and Directed Code Translation by Large Language Models. [pdf]
The 20th International Symposium on Empirical Software Engineering and Measurement, 2026.
Quanhe Wang, Cheng Wen*, Dugang Liu, Xingjian Han*, Bin Yu, Ping Chen, Shengchao Qin, Cong Tian.
[RecSys 2026] GTP: Mitigating Popularity Bias in PLM-based Sequential Recommendation via Group-Aware Token Pruning. [paper]
The 20th ACM Conference on Recommender Systems, 2026.
Ruilin Yuan, Dugang Liu*, Hao Chen, Zhong Ming.
[RecSys 2026] Bridge the Unseen Gap: Enhancing Non-overlapping Cross-domain CTR Prediction via Profile Retrieval. [paper]
The 20th ACM Conference on Recommender Systems, 2026.
Jingyang Bin, Xing Tang, Wei Zeng, Jianan Su, Kaixin Shen, Jingtong Wu, Chaohua Yang, Kailiang Hao, Dugang Liu, Xiuqiang He.
[KDD 2026] StarVerus: LLM-Powered Multi-Agent Collaboration for Industrial Rust Code Verification Automation. [paper] [code]
The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026.
Chao Jiang, Ding Wang, Dugang Liu*, Zhiwu Xu, Cheng Wen, Zhong Ming, Yuwei Liu, Xinyi Wan, Lin Huang.
[KDD 2026] AMS: Adaptive Modality Scheduling for Industrial Multi-Scenario CTR Prediction. [paper]
The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026.
Kailiang Hao, Chaohua Yang, Wei Zeng, Jianan Su, Kaixin Shen, Jingtong Wu, Dugang Liu, Xing Tang, Jingyang Bin, Xiuqiang He, Zhong Ming.
[KDD 2026] Evaluating Uplift Modeling under Structural Biases: Insights into Metric Stability and Model Robustness. [paper] [arxiv version]
The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026.
Yuxuan Yang, Dugang Liu*, Yiyan Huang*.
[SIGIR 2026] FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction. [paper] [arxiv version]
The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2026.
Jun Zhang, Dugang Liu*, Xing Tang, Xiuqiang He, Zhong Ming.
[ACL 2026] HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment. [pdf] [arxiv version]
Findings of the Association for Computational Linguistics: ACL 2026.
Guorui Li, Dugang Liu*, Lei Li, Xing Tang, Zhong Ming.
[ACL 2026] Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement. [code] [arxiv version] [pdf]
The 64th Annual Meeting of the Association for Computational Linguistics, 2026.
Zexu Sun, Yongcheng Zeng, Erxue Min, Heyang Gao, Bokai Ji, Dugang Liu, Xing Tang, Xiuqiang He, Xu Chen.
[ACL 2026] Formally Specifying the Intended Behavior of the Program: LLM-Driven Neuro-Symbolic Program Specification Synthesis. [pdf] [code]
The 64th Annual Meeting of the Association for Computational Linguistics (System Demonstrations), 2026.
Cheng Wen, Junjie Hu, Yikun Hu, Jie Su, Bin Yu, Dugang Liu, Zhiwu Xu, Weidi Sun, Shengchao Qin, Cong Tian.
[TASE 2026] Enhancing LLM-Based Proof Synthesis for Rust Programs via Semantic Chunking and Hierarchical Context Expansion. [pdf]
The 20th International Symposium on Theoretical Aspects of Software Engineering, 2026.
Yuchen Zhang, Cheng Wen, Zhiwu Xu, Dugang Liu, Jialun Cao, Yuwei Liu, Shengchao Qin, Cong Tian.
[ICLR 2026] BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity. [pdf] [code] [arxiv version]
The 14th International Conference on Learning Representations, 2026.
Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Yichen Li, Xiuqiang He, Ruixuan Li.
[WWW 2026] Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA. [pdf] [arxiv version]
The ACM Web Conference 2026, 2026.
Xing Tang, Hao Chen, Shiwei Li, Fuyuan Lyu, Weijie Shi, Lingjie Li, Dugang Liu, Xiku Du, Weihong Luo, Xiuqiang He.
[WSDM 2026] Automated Information Flow Selection for Multi-Scenario Multi-Task Recommendation. [pdf] [code] [arxiv version]
The 19th ACM International Conference on Web Search and Data Mining, 2026.
Chaohua Yang, Dugang Liu*, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming.
[NeurIPS 2025] See&trek: Training-Free Spatial Prompting for Multimodal Large Language Model. [pdf] [code]
The 39th Annual Conference on Neural Information Processing Systems, 2025.
Pengteng Li, Pinhao Song, Wuyang Li, Huizai Yao, Weiyu Guo, Yijie Xu, Dugang Liu, Hui Xiong.
[NeurIPS 2025] Beyond Higher Rank: Token-Wise Input-Output Projections for Efficient Low-Rank Adaptation. [pdf] [code]
The 39th Annual Conference on Neural Information Processing Systems, 2025.
Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, Ruixuan Li.
[NeurIPS 2025] Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation. [pdf] [code]
The 39th Annual Conference on Neural Information Processing Systems, 2025.
Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Shiwei Li, Peiyang Liu, Bowei He, Dugang Liu, Weihong Luo, Xiuqiang He, Chen Ma.
[KSEM 2025] Masked Aggregation Learning for Enhancing Distributed Gradient Boosting Decision Trees. [Best Paper Award] [pdf]
The 18th International Conference on Knowledge Science, Engineering and Management, 2025.
Yuting Zha, Chao Lin, Xinyi Huang, Dugang Liu.
[KDD 2025 (February Cycle)] Retrieval Augmented Cross-Domain Lifelong Behavior Modeling for Enhancing Click-Through Rate Prediction [pdf]
The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025.
Xing Tang, Chaohua Yang, Yuwen Fu, Dongyang Ao, Shiwei Li, Fuyuan Lyu, Dugang Liu, Xiuqiang He*.
[ICML 2025] Invariant Deep Uplift Modeling for Incentives Assignment in Online Marketing via Probability of Necessity and Sufficiency. [pdf]
The 42nd International Conference on Machine Learning, 2025.
Zexu Sun, Qiyu Han, Hao Yang, Anpeng Wu, Minqin Zhu, Dugang Liu, Chen Ma, Yunpeng Weng, Xing Tang*, Xiuqiang He*.
[SIGIR 2025] Multi-Scenario Instance Embedding Learning for Deep Recommender Systems. [pdf] [code]
The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025.
Chaohua Yang, Dugang Liu*, Xing Tang, Yuwen Fu, Xiuqiang He*, Xiangyu Zhao and Zhong Ming.
[SIGIR 2025] Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. [pdf] [code]
The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025.
Ziqiang Cui, Yunpeng Weng, Xing Tang*, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma*.
[DASFAA 2025] A Predict-then-Optimize Customer Allocation Framework for Online Fund Recommendation. [arxiv version]
The 30th International Conference on Database Systems for Advanced Applications, 2025.
Xing Tang, Yunpeng Weng, Fuyuan Lyu, Dugang Liu, Xiuqiang He*.
[KDD 2025 (August Cycle)] Robust Uplift Modeling with Large-Scale Contexts for Real-Time Marketing. [pdf] [code]
The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025.
Zexu Sun, Qiyu Han, Minqin Zhu, Hao Gong, Dugang Liu*, Chen Ma*.
[KDD 2025 (August Cycle)] Scenario Shared Instance Modeling for Click-Through Rate Prediction. [pdf] [code]
The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025.
Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, Zhong Ming*.
[WSDM 2025] Fusion Matters: Learning Fusion in Deep Click-Through Rate Prediction Models. [pdf] [code] [arxiv version]
The 18th ACM International Conference on Web Search and Data Mining, 2025.
Kexin Zhang, Fuyuan Lyu, Xing Tang*, Dugang Liu*, Chen Ma, Kaize Ding, Xiuqiang He, Xue Liu.
[TORS 2024] Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation with Knowledge Graph. [pdf] [code]
ACM Transactions on Recommender Systems, 2024.
Dugang Liu, Shenxian Xian, Yuhao Wu, Xiaolian Zhang, Zhong Ming*.
[RecSys 2024] End-to-End Cost-Effective Incentive Recommendation Under Budget Constraint with Uplift Modeling. [pdf] [arxiv version]
The 18th ACM Conference on Recommender Systems, 2024.
Zexu Sun, Hao Yang, Dugang Liu*, Yunpeng Weng, Xing Tang*, Xiuqiang He.
[RecSys 2024] Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. [pdf] [code] [arxiv version]
The 18th ACM Conference on Recommender Systems, 2024.
Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu*, Xiuqiang He*.
[CIKM 2024] OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. [pdf] [code] [arxiv version]
The 33rd ACM International Conference on Information and Knowledge Management, 2024.
Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu*, Zexu Sun, Xiuqiang He*.
[MM 2024] Masked Random Noise for Communication-Efficient Federated Learning. [pdf] [code] [arxiv version]
The 32nd ACM International Conference on Multimedia, 2024.
Shiwei Li, Yingyi Cheng, Haozhao Wang*, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li.
[SIGIR 2024] AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. [pdf] [code]
The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024.
Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming*.
[DASFAA 2024] Towards Effective and Efficient Multi-Valued Treatment Uplift Modeling in Online Marketing. [pdf]
The 29th International Conference on Database Systems for Advanced Applications, 2024.
Zexu Sun, Dugang Liu*, Xing Tang, Yunpeng Weng, Xiuqiang He.
[TKDD 2024] Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We?. [pdf] [code]
ACM Transactions on Knowledge Discovery from Data, 2024.
Cheng Wen, Yuandao Cai, Bin Zhang, Jie Su*, Zhuwu Xu, Dugang Liu, Shengchao Qin*, Zhong Ming, Cong Tian.
[LREC-COLING 2024] Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. [pdf] [arxiv version]
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024.
Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen.
[WSDM 2024] MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. [pdf] [code]
The 17th ACM International Conference on Web Search and Data Mining, 2024.
Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming*, Xiangyu Zhao*.
[NeurIPS 2023] Towards Hybrid-Grained Feature Interaction Selection for Deep Sparse Network. [pdf] [code] [arxiv version]
The 37th Conference on Neural Information Processing Systems, 2023.
Fuyuan Lyu, Xing Tang*, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu.
[ICDM 2023] Robustness-Enhanced Uplift Modeling with Adversarial Feature Desensitization. [pdf] [arxiv version]
The 23rd IEEE International Conference on Data Mining, 2023.
Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu*.
[MM 2023] Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. [pdf]
The 31st ACM International Conference on Multimedia, 2023.
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Zhong Ming*.
[RecSys 2023] Pairwise Intent Graph Embedding Learning for Context-Aware Recommendation. [Best Full Paper Runner-up Award] [pdf] [code]
The 17th ACM Conference on Recommender Systems, 2023.
Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang, Zhong Ming*.
[ECMLPKDD 2023] OptMSM: Optimizing Multi-scenario Modeling for Click-Through Rate Prediction. [pdf] [arxiv version]
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2023: ADS and Demo Track, 2023.
Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu*, Xiuqiang He*.
[AIJ 2023] Transfer Learning for Collaborative Recommendation with Biased and Unbiased Data. [pdf] [code]
Artificial Intelligence, 2023.
Zinan Lin, Dugang Liu, Weike Pan*, Qiang Yang, Zhong Ming.
[KDD 2023] Explicit Feature Interaction-Aware Uplift Network for Online Marketing. [pdf] [code] [arxiv version]
The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023.
Dugang Liu, Xing Tang*, Han Gao, Fuyuan Lyu, Xiuqiang He*.
[TKDE 2023] KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. [pdf] [code]
IEEE Transactions on Knowledge and Data Engineering, 2023.
Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan*, Zhong Ming*.
[WWW 2023] Optimizing Feature Set for Click-Through Rate Prediction. [pdf] [code] [arxiv version]
The ACM Web Conference 2023, 2023.
Fuyuan Lyu, Xing Tang, Dugang Liu*, Liang Chen, Xiuqiang He*, Xue Liu.
[WWW 2023] DIWIFT: Discovering Instance-Wise Influential Features for Tabular Data. [pdf] [code] [arxiv version]
The ACM Web Conference 2023, 2023.
Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan*, Zhong Ming*.
[TOIS 2023] Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. [pdf] [arxiv version]
ACM Transactions on Information Systems, 2023.
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan*, Zhong Ming*.
[DASFAA 2023] Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. [pdf] [arxiv version]
The 28th International Conference on Database Systems for Advanced Applications, 2023.
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan*, Zhong Ming*.
[TORS 2023] Debiased Representation Learning in Recommendation via Information Bottleneck. [pdf] [code]
ACM Transactions on Recommender Systems, 2023.
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan*, Zhong Ming*.
[COLING 2022] Augmenting Legal Judgment Prediction with Contrastive Case Relations. [pdf] [code]
The 29th International Conference on Computational Linguistics, 2022.
Dugang Liu, Weihao Du, Lei Li, Weike Pan*, Zhong Ming*.
[KDD 2022] User-Event Graph Embedding Learning for Context-Aware Recommendation. [pdf] [code]
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022.
Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan*, Zhong Ming*.
[TKDE 2022] Spiral of Silence and Its Application in Recommender Systems. [pdf] [code]
IEEE Transactions on Knowledge and Data Engineering, 2022.
Chen Lin*, Dugang Liu, Hanghang Tong, Yanghua Xiao.
[RecSys 2021] Mitigating Confounding Bias in Recommendation via Information Bottleneck. [pdf] [code]
The 15th ACM Conference on Recommender Systems, 2021.
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan*, Zhong Ming*.
[RecSys 2021] Transfer Learning in Collaborative Recommendation for Bias Reduction. [pdf] [code]
The 15th ACM Conference on Recommender Systems, 2021.
Zinan Lin, Dugang Liu, Weike Pan*, Zhong Ming*.
[SIGIR 2020] A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. [pdf] [code]
The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020.
Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan*, Zhong Ming*.
[WSDM 2019] Spiral of Silence in Recommender Systems. [pdf] [code]
The 12th ACM International Conference on Web Search and Data Mining, 2019.
Dugang Liu, Chen Lin*, Zhilin Zhang, Yanghua Xiao, Hanghang Tong.

Academic Service

Senior Area Chair: KDD (2026)
Area Chair: KDD (2025/2026)
Conference Reviewers:
- IR/DM: KDD (2023/2024/2025/2026), WWW (2024/2025/2026), SIGIR (2025/2026), RecSys (2023/2024/2025/2026), WSDM (2024/2025/2026), CIKM (2023/2024/2025/2026), SDM (2024), ECMLPKDD (2024/2025/2026), BigData (2024/2025)
- ML: ICLR (2025/2026), ICML (2024/2025/2026), NeurIPS (2024/2025), AISTATS (2024/2025/2026), ACML (2024/2025)
- Others: AAAI (2021/2024/2025/2026), IJCAI (2023/2024/2025/2026), ACL (since 2024), MM (2023/2024/2025), UMAP (2025/2026), ECAI (2025), PAKDD (2026), SIGIR-AP (2025)， SIGIR-ICTIP (2026)
Journal Reviewers:
- IEEE: TPAMI, TKDE, T-IFS, TOSEM, TSC, TCSVT, TKDD, TBD, TCSS, TEM
- ACM: TOIS, TORS, TIST
- Elsevier: COSE, INS, KBS, ESWA, SWEVO, ASOC
- Springer: JCST, JIIS, DSE, Scientific Reports
- Other: JAIR, Tsinghua Science and Technology, PeerJ Computer Science, Science China Technological Sciences

Awards & Honors

AAAI-26 Outstanding Program Committee Award (42/26421, 0.16%), 2026
Class-C talents of the Pengcheng Peacock Plan
KSEM'25 Best Paper Award, 2025
KDD'25 (both tracks) Outstanding Reviewer, 2024
ECMLPKDD'24 Outstanding Reviewer, 2024
RecSys'24 Outstanding Reviewer, 2024
RecSys'23 Best Full Paper Runner-up Award, 2023
SZU Excellent Doctoral Thesis Award (Top 1), 2023

Acknowledgments: webpage template borrows from Dr. Ziwei Zhu. Last update: November 15, 2026.