LBAS: An effective pricing mechanism towards video migration in cloud-assisted VoD system. - Xin Cong; Kai Shuang; Sen Su; Fangchun Yang; Lingling Zi (Comput. Networks, 2014)

Subject Perception Semantic Model for Information Retrieval in Tourism. - Lingling Zi; Xin Cong; Yaping Zhang (J. Softw., 2014)

An efficient server bandwidth costs decreased mechanism towards mobile devices in cloud-assisted P2P-VoD system. - Xin Cong; Kai Shuang; Sen Su; Fangchun Yang (Peer-to-Peer Netw. Appl., 2014)

SBDP: Bandwidth prediction mechanism towards server demands in P2P-VoD system. - Xin Cong; Kai Shuang; Sen Su; Fangchun Yang; Lingling Zi (Peer-to-Peer Netw. Appl., 2015)

An Evolution Perception Mechanism for Organizing and Displaying 3D Shape Collections. - Lingling Zi; Xin Cong; Yanfei Peng (CCCV (1), 2017)

Energy-Aware and Location-Constrained Virtual Network Embedding in Enterprise Network. - Xin Cong; Lingling Zi; Kai Shuang (ICSOC Workshops, 2018)

A Perception-Driven Transcale Display Scheme for Space Image Sequences. - Lingling Zi; Xin Cong; Yanfei Peng; Pei Yang (Adv. Multim., 2018)

Securing content-centric networks with content-based encryption. - Haomiao Yang; Xiaofen Wang; Chun Yang; Xin Cong; You Zhang (J. Netw. Comput. Appl., 2019)

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering. - Xin Cong; Bowen Yu 002; Tingwen Liu; Shiyao Cui; Hengzhu Tang; Bin Wang 004 (ECML/PKDD (2), 2020)

Energy Optimized Virtual Network Embedding With Location Constraint in the Enterprise Network. - Xin Cong; Kai Shuang; Lingling Zi (IEEE Access, 2020)

Label Enhanced Event Detection with Heterogeneous Graph Attention Networks. - Shiyao Cui; Bowen Yu 002; Xin Cong; Tingwen Liu; Quangang Li; Jinqiao Shi (CoRR, 2020)

Blockchain applications, challenges and evaluation: A survey. - Xin Cong; Lingling Zi (Discret. Math. Algorithms Appl., 2020)

Few-Shot Event Detection with Prototypical Amortized Conditional Random Field. - Xin Cong; Shiyao Cui; Bowen Yu 002; Tingwen Liu; Yubin Wang; Bin Wang 004 (ACL/IJCNLP (Findings), 2021)

Enhanced Language Representation with Label Knowledge for Span Extraction. - Pan Yang 022; Xin Cong; Zhenyu Sun 002; Xingwu Liu (EMNLP (1), 2021)

Deep Structural Point Process for Learning Temporal Interaction Networks. - Jiangxia Cao; Xixun Lin; Xin Cong; Shu Guo; Hengzhu Tang; Tingwen Liu; Bin Wang 004 (ECML/PKDD (1), 2021)

DTNB: A Blockchain Transaction Framework With Discrete Token Negotiation for the Delay Tolerant Network. - Xin Cong; Lingling Zi; Ding-Zhu Du (IEEE Trans. Netw. Sci. Eng., 2021)

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph. - Yanzeng Li; Jiangxia Cao; Xin Cong; Zhenyu Zhang 006; Bowen Yu 002; Hongsong Zhu; Tingwen Liu (ACL (1), 2022)

Metaverse for Learning Evaluation: Perspectives from Extended Reality and Blockchain. - Lingling Zi; Xin Cong (CCIS, 2022)

SASD: A Shape-Aware Saliency Object Detection Approach for RGB-D Images. - Lingling Zi; Xin Cong (CICAI (1), 2022)

Contrastive Cross-Domain Sequential Recommendation. - Jiangxia Cao; Xin Cong; Jiawei Sheng; Tingwen Liu; Bin Wang 004 (CIKM, 2022)

Event Causality Extraction with Event Argument Correlations. - Shiyao Cui; Jiawei Sheng; Xin Cong; Quangang Li; Tingwen Liu; Jinqiao Shi (COLING, 2022)

Document-Level Event Extraction via Human-Like Reading Process. - Shiyao Cui; Xin Cong; Bowen Yu 002; Tingwen Liu; Yucheng Wang; Jinqiao Shi (ICASSP, 2022)

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. - Jiangxia Cao; Jiawei Sheng; Xin Cong; Tingwen Liu; Bin Wang 004 (ICDE, 2022)

Item Similarity Mining for Multi-Market Recommendation. - Jiangxia Cao; Xin Cong; Tingwen Liu; Bin Wang 004 (SIGIR, 2022)

DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. - Jiangxia Cao; Xixun Lin; Xin Cong; Jing Ya; Tingwen Liu; Bin Wang 004 (SIGIR, 2022)

Relation-Guided Few-Shot Relational Triple Extraction. - Xin Cong; Jiawei Sheng; Shiyao Cui; Bowen Yu 002; Tingwen Liu; Bin Wang 004 (SIGIR, 2022)

Universal Information Extraction with Meta-Pretrained Self-Retrieval. - Xin Cong; Bowen Yu 002; Mengcheng Fang; Tingwen Liu; Haiyang Yu 003; Zhongkai Hu; Fei Huang 002; Yongbin Li; Bin Wang 004 (ACL (Findings), 2023)

Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. - Jiawei Sheng; Xin Cong; Jiangxia Cao; Shu Guo; Chen Li 046; Lihong Wang; Tingwen Liu; Hongbo Xu (ECAI, 2023)

Restricted δ Lie Triple Systems. - Xin Cong; Yanqin Dong; Hanqi Zhou; Bing Liu (FSDM, 2023)

Derivation Algebras of Restricted Hom-Lie Triple Systems. - Hanqi Zhou; Yanqin Dong; Xinyang Li; Xin Cong; Bing Liu (FSDM, 2023)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi Ren Fung 001; Yusheng Su; et al. (CoRR, 2023)

Communicative Agents for Software Development. - Chen Qian; Xin Cong; Cheng Yang 002; Weize Chen; Yusheng Su; Juyuan Xu; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. - Yujia Qin; Shihao Liang; Yining Ye; Kunlun Zhu; Lan Yan; Yaxi Lu; Yankai Lin; Xin Cong; Xiangru Tang; Bill Qian; Sihan Zhao; Runchu Tian; et al. (CoRR, 2023)

Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction. - Shiyao Cui; Xin Cong; Jiawei Sheng; Xuebin Wang; Tingwen Liu; Jinqiao Shi (CoRR, 2023)

Large Language Model as Autonomous Decision Maker. - Yining Ye; Xin Cong; Yujia Qin; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

ProAgent: From Robotic Process Automation to Agentic Process Automation. - Yining Ye; Xin Cong; Shizuo Tian; Jiannan Cao; Hao Wang 139; Yujia Qin; Yaxi Lu; Heyang Yu; Huadong Wang; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension. - Bohan Lyu 001; Xin Cong; Heyang Yu; Pan Yang 022; Yujia Qin; Yining Ye; Yaxi Lu; Zhong Zhang; Yukun Yan; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

Experiential Co-Learning of Software-Developing Agents. - Chen Qian; Yufan Dang; Jiahao Li; Wei Liu 161; Zihao Xie; Yifei Wang; Weize Chen; Cheng Yang 002; Xin Cong; Xiaoyin Che; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2024)

Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents. - Cheng Qian 008; Bingxiang He; Zhong Zhuang; Jia Deng; Yujia Qin; Xin Cong; Zhong Zhang; Jie Zhou 016; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2024)

ChatDev: Communicative Agents for Software Development. - Chen Qian; Wei Liu 161; Hongzhang Liu; Nuo Chen; Yufan Dang; Jiahao Li; Cheng Yang 002; Weize Chen; Yusheng Su; Xin Cong; Juyuan Xu; Dahai Li; et al. (ACL (1), 2024)

DebugBench: Evaluating Debugging Capability of Large Language Models. - Runchu Tian; Yining Ye; Yujia Qin; Xin Cong; Yankai Lin; Yinxu Pan; Yesai Wu; Haotian Hui; Weichuan Liu; Zhiyuan Liu 001; Maosong Sun 001 (ACL (Findings), 2024)

MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization. - Zhiyu Yang; Zihan Zhou; Shuo Wang 013; Xin Cong; Xu Han 007; Yukun Yan; Zhenghao Liu 001; Zhixing Tan; Pengyuan Liu; Dong Yu; Zhiyuan Liu 001; Xiaodong Shi; et al. (ACL (Findings), 2024)

FMA-YOLO: An Algorithm for Detecting Vehicles and Pedestrians in Infrared Road Scenarios. - Xin Cong; Zhenhui Li; Lingling Zi (CGI (1), 2024)

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. - Weize Chen; Yusheng Su; Jingwei Zuo; Cheng Yang 002; Chenfei Yuan; Chi-Min Chan; Heyang Yu; Yaxi Lu; Yi-Hsin Hung; Chen Qian; Yujia Qin; Xin Cong; et al. (ICLR, 2024)

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. - Yujia Qin; Shihao Liang; Yining Ye; Kunlun Zhu; Lan Yan; Yaxi Lu; Yankai Lin; Xin Cong; Xiangru Tang; Bill Qian; Sihan Zhao; Lauren Hong; et al. (ICLR, 2024)

DebugBench: Evaluating Debugging Capability of Large Language Models. - Runchu Tian; Yining Ye; Yujia Qin; Xin Cong; Yankai Lin; Yinxu Pan; Yesai Wu; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution. - Cheng Qian 008; Shihao Liang; Yujia Qin; Yining Ye; Xin Cong; Yankai Lin; Yesai Wu; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

UniMem: Towards a Unified View of Long-Context Large Language Models. - Junjie Fang; Likai Tang; Hongzhe Bi; Yujia Qin; Si Sun; Zhenyu Li; Haolun Li 003; Yongjian Li; Xin Cong; Yukun Yan; Xiaodong Shi; Sen Song; et al. (CoRR, 2024)

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation. - Qinyu Luo; Yining Ye; Shihao Liang; Zhong Zhang; Yujia Qin; Yaxi Lu; Yesai Wu; Xin Cong; Yankai Lin; Yingli Zhang; Xiaoyin Che; Zhiyuan Liu 001; et al. (CoRR, 2024)

Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs. - Runchu Tian; Yanghao Li; Yuepeng Fu; Siyang Deng; Qinyu Luo; Cheng Qian 008; Shuo Wang; Xin Cong; Zhong Zhang; Yesai Wu; Yankai Lin; Huadong Wang; et al. (CoRR, 2024)

A blockchain transaction mechanism in the delay tolerant network. - Lingling Zi; Xin Cong (J. Netw. Comput. Appl., 2024)

Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck. - Shiyao Cui; Jiangxia Cao; Xin Cong; Jiawei Sheng; Quangang Li; Tingwen Liu; Jinqiao Shi (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Exploring Format Consistency for Instruction Tuning. - Shihao Liang; Runchu Tian; Kunlun Zhu; Yujia Qin; Huadong Wang; Xin Cong; Zhiyuan Liu 001; Xiaojiang Liu; Maosong Sun 001 (Trans. Mach. Learn. Res., 2024)

Label-Aware Chinese Event Detection with Heterogeneous Graph Attention Network. - Shiyao Cui; Bo-Wen Yu; Xin Cong; Tingwen Liu; Qingfeng Tan; Jinqiao Shi (J. Comput. Sci. Technol., 2024)

Cross-Domain NER under a Divide-and-Transfer Paradigm. - Xinghua Zhang 001; Bowen Yu 002; Xin Cong; Taoyu Su; Quangang Li; Tingwen Liu; Hongbo Xu (ACM Trans. Inf. Syst., 2024)

Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub. - Bohan Lyu 001; Xin Cong; Heyang Yu; Pan Yang 022; Cheng Qian 008; Zihe Wang; Yujia Qin; Yining Ye; Yaxi Lu; Chen Qian; Zhong Zhang; Yukun Yan; et al. (ACL (1), 2025)

Learning to Generate Structured Output with Schema Reinforcement Learning. - Yaxi Lu; Haolun Li 003; Xin Cong; Zhong Zhang; Yesai Wu; Yankai Lin; Zhiyuan Liu 001; Fangming Liu; Maosong Sun 001 (ACL (1), 2025)

Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs. - Runchu Tian; Yanghao Li; Yuepeng Fu; Siyang Deng; Qinyu Luo; Cheng Qian; Shuo Wang; Xin Cong; Zhong Zhang; Yesai Wu; Yankai Lin; Huadong Wang; et al. (ACL (Findings), 2025)

AgentRM: Enhancing Agent Generalization with Reward Modeling. - Yu Xia; Jingru Fan; Weize Chen; Siyu Yan; Xin Cong; Zhong Zhang; Yaxi Lu; Yankai Lin; Zhiyuan Liu; Maosong Sun 001 (ACL (1), 2025)

Learning Evolving Tools for Large Language Models. - Guoxin Chen; Zhong Zhang; Xin Cong; Fangda Guo; Yesai Wu; Yankai Lin; Wenzheng Feng; Yasheng Wang (ICLR, 2025)

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models. - Shengda Fan; Xin Cong; Yuepeng Fu; Zhong Zhang; Shuyan Zhang; Yuanwei Liu; Yesai Wu; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ICLR, 2025)

Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance. - Yaxi Lu; Shenzhi Yang; Cheng Qian 008; Guirong Chen; Qinyu Luo; Yesai Wu; Huadong Wang; Xin Cong; Zhong Zhang; Yankai Lin; Weiwen Liu; Yasheng Wang; et al. (ICLR, 2025)

Rational Decision-Making Agent with Learning Internal Utility Judgment. - Yining Ye; Xin Cong; Shizuo Tian; Yujia Qin; Chong Liu; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ICLR, 2025)

Exploring LLM-based Student Simulation for Metacognitive Cultivation. - Haoxuan Li 003; Jifan Yu; Xin Cong; Yang Dang; Yisi Zhan; Huiqin Liu; Zhiyuan Liu 001 (CoRR, 2025)

AgentRM: Enhancing Agent Generalization with Reward Modeling. - Yu Xia; Jingru Fan; Weize Chen; Siyu Yan; Xin Cong; Zhong Zhang; Yaxi Lu; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2025)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Xuanhe Zhou; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi R. Fung 001; et al. (ACM Comput. Surv., 2025)

AC-Reason: Towards Theory-Guided Actual Causality Reasoning with Large Language Models. - Yanxi Zhang; Xin Cong; Zhong Zhang; Xiao Liu 032; Dongyan Zhao 001; Yesai Wu (CoRR, 2025)

ToLeaP: Rethinking Development of Tool Learning with Large Language Models. - Haotian Chen; Zijun Song; Boye Niu; Ke Zhang; Litu Ou; Yaxi Lu; Zhong Zhang; Xin Cong; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2025)

AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning. - Zhong Zhang; Yaxi Lu; Yikun Fu; Yupeng Huo; Shenzhi Yang; Yesai Wu; Han Si; Xin Cong; Haotian Chen; Yankai Lin; Jie Xie; Wei Zhou; et al. (CoRR, 2025)

MiniCPM4: Ultra-Efficient LLMs on End Devices. - Chaojun Xiao; Yuxuan Li; Xu Han 007; Yuzhuo Bai; Jie Cai; Haotian Chen; Wentong Chen; Xin Cong; Ganqu Cui; Ning Ding 002; Shengda Fan; Yewei Fang; et al. (CoRR, 2025)