Shaosheng Cao

According to our database, Shaosheng Cao authored at least 37 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services.

Fei Zhao, Chonggang Lu, Yue Wang, Zheyong Xie, Ziyan Liu, Haofu Qian, JianZhao Huang, Fangcheng Shi, Zijie Meng, Hongcheng Guo, Mingqian He, Xinze Lyu, Yiming Lu, Ziyang Xiang, Zheyu Ye, Chengqiang Lu, Zhe Xu, Yi Wu, Yao Hu, Yan Gao, Jun Fan, Xiaolong Jiang, Weiting Liu, Boyang Wang, Shaosheng Cao

CoRR, July, 2025

AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need.

Zhouhong Gu, Xiaoxuan Zhu, Yin Cai, Hao Shen, Xingzhou Chen, Qingyi Wang, Jialin Li, Xiaoran Shi, Haoran Guo, Wenxuan Huang, Hongwei Feng, Yanghua Xiao, Zheyu Ye, Yao Hu, Shaosheng Cao

CoRR, June, 2025

Act-as-Pet: Benchmarking the Abilities of Large Language Models as E-Pets in Social Network Services.

Hongcheng Guo, Zheyong Xie, Shaosheng Cao, Boyang Wang, Weiting Liu, Zheyu Ye, Zhoujun Li, Zuozhu Liu

CoRR, June, 2025

SNS-Bench-VL: Benchmarking Multimodal Large Language Models in Social Networking Services.

Hongcheng Guo, Zheyong Xie, Shaosheng Cao, Boyang Wang, Weiting Liu, Anjie Le, Lei Li, Zhoujun Li

CoRR, May, 2025

MT³: Scaling MLLM-based Text Image Machine Translation via Multi-Task Reinforcement Learning.

Zhaopeng Feng, Yupu Liang, Shaosheng Cao, Jiayuan Su, Jiahan Ren, Zhe Xu, Yao Hu, Wenxuan Huang, Jian Wu, Zuozhu Liu

CoRR, May, 2025

CompBench: Benchmarking Complex Instruction-guided Image Editing.

Bohan Jia, Wenxuan Huang, Yuntian Tang, Junbo Qiao, Jincheng Liao, Shaosheng Cao, Fei Zhao, Zhaopeng Feng, Zhouhong Gu, Zhenfei Yin, Lei Bai, Wanli Ouyang, Lin Chen, Fei Zhao, Zihan Wang, Yuan Xie, Shaohui Lin

CoRR, May, 2025

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning.

Zhaopeng Feng, Shaosheng Cao, Jiahan Ren, Jiayuan Su, Ruizhe Chen, Yan Zhang, Zhe Xu, Yao Hu, Jian Wu, Zuozhu Liu

CoRR, April, 2025

Redefining Machine Translation on Social Network Services with Large Language Models.

Hongcheng Guo, Fei Zhao, Shaosheng Cao, Xinze Lyu, Ziyan Liu, Yue Wang, Boyang Wang, Zhoujun Li, Chonggang Lu, Zhe Xu, Yao Hu

CoRR, April, 2025

Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language Models.

Hongcheng Guo, Juntao Yao, Boyang Wang, Junjia Du, Shaosheng Cao, Donglin Di, Shun Zhang, Zhoujun Li

CoRR, April, 2025

Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

Wenxuan Huang, Bohan Jia, Zijie Zhai, Shaosheng Cao, Zheyu Ye, Fei Zhao, Zhe Xu, Yao Hu, Shaohui Lin

CoRR, March, 2025

PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval.

Zihan Niu, Zheyong Xie, Shaosheng Cao, Chonggang Lu, Zheyu Ye, Tong Xu, Zuozhu Liu, Yan Gao, Jia Chen, Zhe Xu, Yi Wu, Yao Hu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions.

Jia Chen, Qian Dong, Haitao Li, Xiaohui He, Yan Gao, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu, Qingyao Ai, Yiqun Liu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification.

Wenxuan Huang, Zijie Zhai, Yunhang Shen, Shaosheng Cao, Fei Zhao, Xiangfeng Xu, Zheyu Ye, Shaohui Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CDMap: Complementarity and Disparity-aware Map Inference Quality Enhancement.

Wenyu Wu, Jiali Mao, Jiafan Liu, Yixiao Tong, Lisheng Zhao, Shaosheng Cao, Jilin Hu, Aoying Zhou, Lin Zhou

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web.

Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan Gu, Jian Yang, Junjia Du, Shaosheng Cao, Binyuan Hui, Tianyu Liu, Jianxin Ma, Chang Zhou, Zhoujun Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval.

Suyuan Huang, Chao Zhang, Yuanyuan Wu, Haoxin Zhang, Yuan Wang, Maolin Wang, Shaosheng Cao, Tong Xu, Xiangyu Zhao, Zengchang Qin, Yan Gao, Yunhan Bai, Jun Fan, Yao Hu, Enhong Chen

CoRR, 2024

A Multi-class Ride-hailing Service Subsidy System Utilizing Deep Causal Networks.

Zhe Yu, Chi Xia, Shaosheng Cao, Lin Zhou

CoRR, 2024

A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units.

Liyue Chen, Jiangyi Fang, Tengfei Liu, Shaosheng Cao, Leye Wang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Distinguish the Indistinguishable: Spatial Personalized Transformer for Traffic Flow Forecast.

Ao Chen, Shaosheng Cao, Haipeng Zhang

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction.

Simon Hu, Yin Ye, Qinru Hu, Xin Liu, Shaosheng Cao, Howard H. Yang, Yongdong Shen, Panagiotis Angeloudis, Leandro Parada, Chao Wu

IEEE Trans. Veh. Technol., November, 2023

STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships.

Shuai Ling, Zhe Yu, Shaosheng Cao, Haipeng Zhang, Simon Hu

ACM Trans. Knowl. Discov. Data, May, 2023

A Consumer Compensation System in Ride-hailing Service.

Zhe Yu, Chi Xia, Shaosheng Cao, Lin Zhou, Haibin Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

PICT: Precision-enhanced Road Intersection Recognition Using Cycling Trajectories.

Wenyu Wu, Wenyi Shen, Jiali Mao, Lisheng Zhao, Shaosheng Cao, Aoying Zhou, Lin Zhou

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management.

Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SAMI: A Shape-Aware Cycling Map Inference Framework for Designated Driving Service.

Wenyi Shen, Wenyu Wu, Jiali Mao, Jie Chen, Shaosheng Cao, Lisheng Zhao, Aoying Zhou, Lin Zhou

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes.

Siqi Shu, Zhengqi Chen, Zhe Yu, Shaosheng Cao, Guobin Wu, Donghai Shi, Gaoang Wang, Zuozhu Liu, Xiqun Chen, Xiaoxiang Na, Chao Wu, Simon Hu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation.

Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

'Could You Describe the Reason for the Transfer?': A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds.

Zihao Wang, Fudong Wang, Haipeng Zhang, Minghui Yang, Shaosheng Cao, Zujie Wen, Zhe Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Dialogue-based Information Extraction System for Medical Insurance Assessment.

Shuang Peng, Mengdi Zhou, Minghui Yang, Haitao Mi, Shaosheng Cao, Zujie Wen, Teng Xu, Hongbin Wang, Lei Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

ServiceGroup: A Human-Machine Cooperation Solution for Group Chat Customer Service.

Minghui Yang, Hengbin Cui, Shaosheng Cao, Yafang Wang, Xiaolong Li

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial.

Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi

Proc. VLDB Endow., 2019

2018

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information.

Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Investigating Stroke-Level Information for Learning Chinese Word Embeddings.

Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li

Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to, 2017

POSTER: Actively Detecting Implicit Fraudulent Transactions.

Shaosheng Cao, Xinxing Yang, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi, Kai Xiao

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Improving Word Embeddings with Convolutional Feature Learning and Subword Information.

Shaosheng Cao, Wei Lu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Deep Neural Networks for Learning Graph Representations.

Shaosheng Cao, Wei Lu, Qiongkai Xu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

GraRep: Learning Graph Representations with Global Structural Information.

Shaosheng Cao, Wei Lu, Qiongkai Xu

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015