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Weiwen Liu

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

77

Venues

24

Active years

2007–2026

Best venue rank

A*

Where they publish

Papers

77 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIRecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation.Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kai Zhang, Weiwen Liu, Richang Hong, Ruiming Tang, Meng Wang
2026AAAIToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning.Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu
2026ACLProgra: Progress-Aware Reinforcement Learning for Multi-Turn Function Calling.Huacan Chai, Zijie Cao, Maolin Ran, Yingxuan Yang, Jianghao Lin, Xin Peng, Hairui Wang, Renjie Ding, Ziyu Wan, Muning Wen, Weiwen Liu, Weinan Zhang, Fei Huang, Ying Wen
2026ACLCoreCodeBench: Decoupling Code Intelligence via Fine-Grained Repository-Level Tasks.Lingyue Fu, Hao Guan, Bolun Zhang, Haowei Yuan, Yaoming Zhu, Lin Qiu, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Weiwen Liu, Weinan Zhang, Yong Yu
2026ACLColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution.Jihong Wang, Jiamu Zhou, Weiming Zhang, Teng Wang, Weiwen Liu, Zhuosheng Zhang, Xingyu Lou, Weinan Zhang, Huarong Deng, Jun Wang
2026ACLAgent-Dice: Disentangling Knowledge Updates via Geometric Consensus for Agent Continual Learning.Zheng Wu, Xingyu Lou, Xinbei Ma, Yansi Li, Weiwen Liu, Weinan Zhang, Jun Wang, Zhuosheng Zhang
2026ACLA Survey of Large Language Model-Based Search Agents.Yunjia Xi, Jianghao Lin, Yongzhao Xiao, Zheli Zhou, Rong Shan, Te Gao, Jiachen Zhu, Weiwen Liu, Yong Yu, Weinan Zhang
2026ACLACE-Router: Generalizing History-Aware Routing from MCP Tools to the Agent Web.Zhiyuan Yao, Zishan Xu, Yifu Guo, Zhiguang Han, Cheng Yang, Shuo Zhang, Weinan Zhang, Xingshan Zeng, Weiwen Liu
2026ACLLoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls.Kangning Zhang, Weiwen Liu, Wenxiang Jiao, Kounianhua Du, Yuan Lu, Weinan Zhang, Yong Yu
2026AIEDDebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education.Lingyue Fu, Datong Chen, Haowei Yuan, Qingyao Li, Weiwen Liu, Weinan Zhang, Yong Yu
2026DASFAAEfficient Personalized Reranking with Semi-autoregressive Generation and Online Knowledge Distillation.Kai Chen, Hao Wang, Wei Guo, Weiwen Liu, Yong Liu, Yawen Li, Enhong Chen
2026WWWColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks.Yuanyi Song, Heyuan Huang, Qiqiang Lin, Yin Zhao, Xiangmou Qu, Jun Wang, Xingyu Lou, Weiwen Liu, Zhuosheng Zhang, Jun Wang, Zhaoxiang Wang, Yong Yu, Weinan Zhang
2025ACLAdaptive Tool Use in Large Language Models with Meta-Cognition Trigger.Wenjun Li, Dexun Li, Kuicai Dong, Cong Zhang, Hao Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Liu
2025APWEBA Retrieval-Enhanced Click Model for Web Search.Yao Li, Jianghao Lin, Weiwen Liu, Weinan Zhang
2025CIKMPrompt Tuning as User Inherent Profile Inference Machine.Yusheng Lu, Zhaocheng Du, Xiangyang Li, Pengyue Jia, Yejing Wang, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan, Xiangyu Zhao
2025EMNLPACEBench: A Comprehensive Evaluation of LLM Tool Usage.Chen Chen, Xinlong Hao, Weiwen Liu, Xu Huang, Xingshan Zeng, Shuai Yu, Dexun Li, Yuefeng Huang, Xiangcheng Liu, Xinzhi Wang, Wu Liu
2025EMNLPRethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.Qingyao Li, Wei Xia, Xinyi Dai, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2025EMNLPStepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning.Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2025EMNLPTool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch.Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu
2025EMNLPiTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use.Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Yutai Hou, Wu Ning, Xu Huang, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu
2025EMNLPNL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging.Weiming Zhang, Qingyao Li, Xinyi Dai, Jizheng Chen, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2025ICLRSpa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation.Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao
2025ICLRToolACE: Winning the Points of LLM Function Calling.Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen
2025ICLRProactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance.Yaxi Lu, Shenzhi Yang, Cheng Qian, Guirong Chen, Qinyu Luo, Yesai Wu, Huadong Wang, Xin Cong, Zhong Zhang, Yankai Lin, Weiwen Liu, Yasheng Wang, Zhiyuan Liu, Fangming Liu, Maosong Sun
2025IJCNNCECAT: Certainty-Guaranteed Environment for Computerized Adaptive Testing.Jingwei Yu, Zhenyu Mu, Weiwen Liu, Ting Long, Weiming Zhang, Weinan Zhang, Yong Yu
2025IJCNNIECAT: an Individualized High-Efficiency Ability Assessment for Computerized Adaptive Testing.Jingwei Yu, Zhenyu Mu, Weiwen Liu, Hangyu Wang, Ting Long, Weinan Zhang, Yong Yu
2025NAACLToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis.Zezhong Wang, Xingshan Zeng, Weiwen Liu, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2025NAACLChain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step.Zezhong Wang, Xingshan Zeng, Weiwen Liu, Yufei Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2025WWWLLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations.Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang
2025WWWHyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation.Xu Huang, Xiaolong Chen, Yichao Wang, Weiwen Liu, Yang Yang, Xingmei Wang, Defu Lian, Ruiming Tang
2025WWWD2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems.Jiarui Qin, Weiwen Liu, Weinan Zhang, Yong Yu
2025SIGIRAction First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems.Renting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2025SIGIREfficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding.Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu
2024ACLPlanning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios.Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu
2024CIKMEASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction.Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King
2024CIKMMemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models.Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024ICASSPEnhancing Multi-Task Models For Recommendation with Tensor Trace Norm.Boqi Dai, Kai Ouyang, Jun Yuan, Miaoxin Chen, Xingyu Lu, Weiwen Liu, Rui Zhang, Hai-Tao Zheng
2024PAKDDMulti-sourced Integrated Ranking with Exposure Fairness.Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu
2024RecSysTowards Open-World Recommendation with Knowledge Augmentation from Large Language Models.Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024WWWHiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning.Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu
2024WWWThe 2nd Workshop on Recommendation with Generative Models.Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
2023AAAISet-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation.Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
2023CIKMDFFM: Domain Facilitated Feature Modeling for CTR Prediction.Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang
2023CIKMMulti-domain Recommendation with Embedding Disentangling and Domain Alignment.Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang
2023CIKMOptimal Real-Time Bidding Strategy for Position Auctions in Online Advertising.Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu
2023CIKMThe 1st Workshop on Recommendation with Generative Models.Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun
2023ICDEPersonalized Diversification for Neural Re-ranking in Recommendation.Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang
2023IJCAIA Survey on User Behavior Modeling in Recommender Systems.Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
2023KDDDeep Landscape Forecasting in Multi-Slot Real-Time Bidding.Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu
2023KDDOn-device Integrated Re-ranking with Heterogeneous Behavior Modeling.Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu
2023RecSysUser Behavior Modeling with Deep Learning for Recommendation: Recent Advances.Weiwen Liu, Wei Guo, Yong Liu, Ruiming Tang, Hao Wang
2023RecSysInternational Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao
2023WWWIntegrated Ranking for News Feed with Reinforcement Learning.Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang
2023WSDMAn F-shape Click Model for Information Retrieval on Multi-block Mobile Pages.Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2023WSDMA Bird's-eye View of Reranking: From List Level to Page Level.Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu
2022CIKMNumerical Feature Representation with HybridBo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang
2022CIKMBalancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning.Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang
2022IJCAINeural Re-ranking in Multi-stage Recommender Systems: A Review.Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
2022KDDCausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation.Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2022RecSysNeural Re-ranking for Multi-stage Recommender Systems.Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen
2022WWWPEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
2022SIGIRRankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows.Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang
2022SIGIRMulti-Level Interaction Reranking with User Behavior History.Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2021CIKMlibrec-auto: A Tool for Recommender Systems Experimentation.Nasim Sonboli, Masoud Mansoury, Ziyue Guo, Shreyas Kadekodi, Weiwen Liu, Zijun Liu, Andrew Schwartz, Robin Burke
2021KDDRetrieval & Interaction Machine for Tabular Data Prediction.Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
2021WWWAn Adversarial Imitation Click Model for Information Retrieval.Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021SIGIRA Graph-Enhanced Click Model for Web Search.Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
2020CIKMPersonalized Re-ranking with Item Relationships for E-commerce.Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng
2020ECAIAdversarial Learning for Overlapping Community Detection and Network Embedding.Junyang Chen, Zhiguo Gong, Quanyu Dai, Chunyuan Yuan, Weiwen Liu
2020ECIRPMD: An Optimal Transportation-Based User Distance for Recommender Systems.Yitong Meng, Xinyan Dai, Xiao Yan, James Cheng, Weiwen Liu, Jun Guo, Benben Liao, Guangyong Chen
2020PAKDDBalancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
2020WSDMConsistency-Aware Recommendation for User-Generated Item List Continuation.Yun He, Yin Zhang, Weiwen Liu, James Caverlee
2019RecSysPersonalized fairness-aware re-ranking for microlending.Weiwen Liu, Jun Guo, Nasim Sonboli, Robin Burke, Shengyu Zhang
2018COCOONContextual Dependent Click Bandit Algorithm for Web Recommendation.Weiwen Liu, Shuai Li, Shengyu Zhang
2018RecSysField-aware probabilistic embedding neural network for CTR prediction.Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang
2014OSDIf4: Facebook's Warm BLOB Storage System.Muralidhar Subramanian, Wyatt Lloyd, Sabyasachi Roy, Cory Hill, Ernest Lin, Weiwen Liu, Satadru Pan, Shiva Shankar, Sivakumar Viswanathan, Linpeng Tang, Sanjeev Kumar
2007VTCFade Slope Analysis of Ka-Band LEO Satellite Links.Weiwen Liu, Boubacar Diallo, David G. Michelson