Shaosheng Cao

68 papers A* 15A 3Journal 36Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Balancing Understanding and Generation in Discrete Diffusion Models.
CoRR
Yue Liu, Yuzhong Zhao, Zheyong Xie, Qixiang Ye, Jianbin Jiao, Yao Hu, Shaosheng Cao, Yunfan Liu
2026 J jnl
Benchmarking Machine Translation on Chinese Social Media Texts.
CoRR
Kaiyan Zhao, Zheyong Xie, Zhongtao Miao, Xinze Lyu, Yao Hu, Shaosheng Cao
2026 J jnl
Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training.
CoRR
Shengrui Li, Fei Zhao, Kaiyan Zhao, Jieying Ye, Haifeng Liu, Fangcheng Shi, Zheyong Xie, Yao Hu, Shaosheng Cao
2026 J jnl
EComStage: Stage-wise and Orientation-specific Benchmarking for Large Language Models in E-commerce.
CoRR
Kaiyan Zhao, Zijie Meng, Zheyong Xie, Jin Duan, Yao Hu, Zuozhu Liu, Shaosheng Cao
2026 J jnl
GCAgent: Enhancing Group Chat Communication through Dialogue Agents System.
CoRR
Zijie Meng, Zheyong Xie, Zheyu Ye, Chonggang Lu, Zuozhu Liu, Zihan Niu, Yao Hu, Shaosheng Cao
2026 J jnl
One Token Is Enough: Improving Diffusion Language Models with a Sink Token.
CoRR
Zihou Zhang, Zheyong Xie, Li Zhong, Haifeng Liu, Shaosheng Cao
2026 — conf
Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search.
KDD (1)
Ziyang Zeng, Heming Jing, Jindong Chen, Xiangli Li, Hongyu Liu, Yixuan He, Zhengyu Li, Yige Sun, Zheyong Xie, Yuqing Yang, Shaosheng Cao, Jun Fan, Yi Wu, Yao Hu
2026 J jnl
QP-OneModel: A Unified Generative LLM for Multi-Task Query Understanding in Xiaohongshu Search.
CoRR
Jianzhao Huang, Xiaorui Huang, Fei Zhao, Yunpeng Liu, Hui Zhang, Fangcheng Shi, Congfeng Li, Zechen Sun, Yi Wu, Yao Hu, Yunhan Bai, Shaosheng Cao
2026 J jnl
Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors.
CoRR
Zhiwei Zhang, Fei Zhao, Rui Wang, Zezhong Wang, Bin Liang, Jiakang Wang, Yao Hu, Shaosheng Cao, Kam-Fai Wong
2026 — conf
To Paraphrase or Not: Efficient Comment Detoxification with Unsupervised Detoxifiability Discrimination.
EACL (Volume 2: Short Papers)
Jing Ke, Zheyong Xie, Shaosheng Cao, Tong Xu, Enhong Chen
2026 J jnl
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models.
CoRR
Yu Zeng, Wenxuan Huang, Zhen Fang, Shuang Chen, Yufan Shen, Yishuo Cai, Xiaoman Wang, Zhenfei Yin, Lin Chen, Zehui Chen, Shiting Huang, Yiming Zhao, Xu Tang, Yao Hu, Philip Torr, Wanli Ouyang, Shaosheng Cao
2026 J jnl
Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models.
CoRR
Wenxuan Huang, Yu Zeng, Qiuchen Wang, Zhen Fang, Shaosheng Cao, Zheng Chu, Qingyu Yin, Shuang Chen, Zhenfei Yin, Lin Chen, Zehui Chen, Yao Hu, Philip Torr, Feng Zhao, Wanli Ouyang
2025 J jnl
Act-as-Pet: Benchmarking the Abilities of Large Language Models as E-Pets in Social Network Services.
CoRR
Hongcheng Guo, Zheyong Xie, Shaosheng Cao, Boyang Wang, Weiting Liu, Zheyu Ye, Zhoujun Li, Zuozhu Liu
2025 J jnl
Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models.
CoRR
Xiaoyu Zhan, Wenxuan Huang, Hao Sun, Xinyu Fu, Changfeng Ma, Shaosheng Cao, Bohan Jia, Shaohui Lin, Zhenfei Yin, Lei Bai, Wanli Ouyang, Yuanqi Li, Jie Guo, Yanwen Guo
2025 J jnl
AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need.
CoRR
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
2025 A* conf
CDMap: Complementarity and Disparity-aware Map Inference Quality Enhancement.
ICDE
Wenyu Wu, Jiali Mao, Jiafan Liu, Yixiao Tong, Lisheng Zhao, Shaosheng Cao, Jilin Hu, Aoying Zhou, Lin Zhou
2025 J jnl
Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language Models.
CoRR
Hongcheng Guo, Juntao Yao, Boyang Wang, Junjia Du, Shaosheng Cao, Donglin Di, Shun Zhang, Zhoujun Li
2025 — conf
CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation.
ACL (6)
Kaiwen Yan, Hongcheng Guo, Xuanqing Shi, Shaosheng Cao, Donglin Di, Zhoujun Li
2025 J jnl
CompBench: Benchmarking Complex Instruction-guided Image Editing.
CoRR
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, Zihan Wang, Yuan Xie, Shaohui Lin
2025 A* conf
Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification.
ICLR
Wenxuan Huang, Zijie Zhai, Yunhang Shen, Shaosheng Cao, Fei Zhao, Xiangfeng Xu, Zheyu Ye, Shaohui Lin
2025 — conf
IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web.
ACL (Findings)
Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan Gu, Jian Yang, Junjia Du, Shaosheng Cao, Binyuan Hui, Tianyu Liu, Jianxin Ma, Chang Zhou, Zhoujun Li
2025 J jnl
Interleaving Reasoning for Better Text-to-Image Generation.
CoRR
Wenxuan Huang, Shuang Chen, Zheyong Xie, Shaosheng Cao, Shixiang Tang, Yufan Shen, Qingyu Yin, Wenbo Hu, Xiaoman Wang, Yuntian Tang, Junbo Qiao, Yue Guo, Yao Hu, Zhenfei Yin, Philip Torr, Yu Cheng, Wanli Ouyang, Shaohui Lin
2025 — conf
MIRAGE: Exploring How Large Language Models Perform in Complex Social Interactive Environments.
ACL (2)
Yin Cai, Zhouhong Gu, Zhaohan Du, Zheyu Ye, Shaosheng Cao, Yiqian Xu, Hongwei Feng, Ping Chen
2025 J jnl
MIRAGE: Exploring How Large Language Models Perform in Complex Social Interactive Environments.
CoRR
Yin Cai, Zhouhong Gu, Zhaohan Du, Zheyu Ye, Shaosheng Cao, Yiqian Xu, Hongwei Feng, Ping Chen
2025 J jnl
MT
CoRR
Zhaopeng Feng, Yupu Liang, Shaosheng Cao, Jiayuan Su, Jiahan Ren, Zhe Xu, Yao Hu, Wenxuan Huang, Jian Wu, Zuozhu Liu
2025 — conf
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning.
EMNLP (Findings)
Zhaopeng Feng, Shaosheng Cao, Jiahan Ren, Jiayuan Su, Ruizhe Chen, Yan Zhang, Jian Wu, Zuozhu Liu
2025 J jnl
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning.
CoRR
Zhaopeng Feng, Shaosheng Cao, Jiahan Ren, Jiayuan Su, Ruizhe Chen, Yan Zhang, Zhe Xu, Yao Hu, Jian Wu, Zuozhu Liu
2025 J jnl
Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search.
CoRR
Ziyang Zeng, Heming Jing, Jindong Chen, Xiangli Li, Hongyu Liu, Yixuan He, Zhengyu Li, Yige Sun, Zheyong Xie, Yuqing Yang, Shaosheng Cao, Jun Fan, Yi Wu, Yao Hu
2025 A* conf
PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval.
SIGIR
Zihan Niu, Zheyong Xie, Shaosheng Cao, Chonggang Lu, Zheyu Ye, Tong Xu, Zuozhu Liu, Yan Gao, Jia Chen, Zhe Xu, Yi Wu, Yao Hu
2025 J jnl
PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval.
CoRR
Zihan Niu, Zheyong Xie, Shaosheng Cao, Chonggang Lu, Zheyu Ye, Tong Xu, Zuozhu Liu, Yan Gao, Jia Chen, Zhe Xu, Yi Wu, Yao Hu
2025 A conf
Pet-Bench: Benchmarking the Abilities of Large Language Models as E-Pets in Social Network Services.
CIKM
Hongcheng Guo, Zheyong Xie, Shaosheng Cao, Boyang Wang, Weiting Liu, Zheyu Ye, Zhoujun Li, Zuozhu Liu, Wei Lu
2025 A* conf
Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions.
SIGIR
Jia Chen, Qian Dong, Haitao Li, Xiaohui He, Yan Gao, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu, Qingyao Ai, Yiqun Liu
2025 J jnl
Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions.
CoRR
Jia Chen, Qian Dong, Haitao Li, Xiaohui He, Yan Gao, Shaosheng Cao, Yi Wu, Ping Yang, Chen Xu, Yao Hu, Qingyao Ai, Yiqun Liu
2025 J jnl
RedOne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services.
CoRR
Fei Zhao, Chonggang Lu, Haofu Qian, Fangcheng Shi, Zijie Meng, Jianzhao Huang, Xu Tang, Zheyong Xie, Zheyu Ye, Zhe Xu, Yao Hu, Shaosheng Cao
2025 — conf
RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services.
EMNLP (Industry Track)
Fei Zhao, Chonggang Lu, Wangyue, Zheyong Xie, Ziyan Liu, Haofu Qian, Jianzhao Huang, Fangcheng Shi, Zijie Meng, Hongcheng Guo, Mingqian He, Xinze Lyu, Zheyu Ye, Weiting Liu, Boyang Wang, Shaosheng Cao
2025 J jnl
RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services.
CoRR
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
2025 J jnl
Redefining Machine Translation on Social Network Services with Large Language Models.
CoRR
Hongcheng Guo, Fei Zhao, Shaosheng Cao, Xinze Lyu, Ziyan Liu, Yue Wang, Boyang Wang, Zhoujun Li, Chonggang Lu, Zhe Xu, Yao Hu
2025 A* conf
SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services.
ICML
Hongcheng Guo, Yue Wang, Shaosheng Cao, Fei Zhao, Boyang Wang, Lei Li, Liang Chen, Xinze Lyu, Zhe Xu, Yao Hu, Zhoujun Li
2025 — conf
Towards Multi-System Log Anomaly Detection.
ACL (6)
Boyang Wang, Runqiang Zang, Hongcheng Guo, Shun Zhang, Shaosheng Cao, Donglin Di, Zhoujun Li
2025 J jnl
Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.
CoRR
Wenxuan Huang, Bohan Jia, Zijie Zhai, Shaosheng Cao, Zheyu Ye, Fei Zhao, Zhe Xu, Yao Hu, Shaohui Lin
2025 — conf
iPET: An Interactive Emotional Companion Dialogue System with LLM-Powered Virtual Pet World Simulation.
ACL (3)
Zheyong Xie, Shaosheng Cao, Zuozhu Liu, Zheyu Ye, Zihan Niu, Chonggang Lu, Tong Xu, Enhong Chen, Zhe Xu, Yao Hu, Wei Lu
2024 J jnl
A Multi-class Ride-hailing Service Subsidy System Utilizing Deep Causal Networks.
CoRR
Zhe Yu, Chi Xia, Shaosheng Cao, Lin Zhou
2024 A* conf
A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units.
ICDE
Liyue Chen, Jiangyi Fang, Tengfei Liu, Shaosheng Cao, Leye Wang
2024 J jnl
A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units.
CoRR
Liyue Chen, Jiangyi Fang, Tengfei Liu, Shaosheng Cao, Leye Wang
2024 — conf
Distinguish the Indistinguishable: Spatial Personalized Transformer for Traffic Flow Forecast.
APWeb/WAIM (2)
Ao Chen, Shaosheng Cao, Haipeng Zhang
2024 J jnl
Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification.
CoRR
Wenxuan Huang, Zijie Zhai, Yunhang Shen, Shaosheng Cao, Fei Zhao, Xiangfeng Xu, Zheyu Ye, Shaohui Lin
2024 J jnl
ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval.
CoRR
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
2023 A* conf
A Consumer Compensation System in Ride-hailing Service.
SIGIR
Zhe Yu, Chi Xia, Shaosheng Cao, Lin Zhou, Haibin Huang
2023 A* conf
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management.
KDD
Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang
2023 J jnl
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management.
CoRR
Liyue Chen, Jiangyi Fang, Zhe Yu, Yongxin Tong, Shaosheng Cao, Leye Wang
2023 J jnl
A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction.
IEEE Trans. Veh. Technol.
Simon Hu, Yin Ye, Qinru Hu, Xin Liu, Shaosheng Cao, Howard H. Yang, Yongdong Shen, Panagiotis Angeloudis, Leandro Parada, Chao Wu
2023 — conf
PICT: Precision-enhanced Road Intersection Recognition Using Cycling Trajectories.
ECML/PKDD (7)
Wenyu Wu, Wenyi Shen, Jiali Mao, Lisheng Zhao, Shaosheng Cao, Aoying Zhou, Lin Zhou
2023 A* conf
SAMI: A Shape-Aware Cycling Map Inference Framework for Designated Driving Service.
ICDE
Wenyi Shen, Wenyu Wu, Jiali Mao, Jie Chen, Shaosheng Cao, Lisheng Zhao, Aoying Zhou, Lin Zhou
2023 J jnl
STHAN: Transportation Demand Forecasting with Compound Spatio-Temporal Relationships.
ACM Trans. Knowl. Discov. Data
Shuai Ling, Zhe Yu, Shaosheng Cao, Haipeng Zhang, Simon Hu
2022 — conf
Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes.
ITSC
Siqi Shu, Zhengqi Chen, Zhe Yu, Shaosheng Cao, Guobin Wu, Donghai Shi, Gaoang Wang, Zuozhu Liu, Xiqun Chen, Xiaoxiang Na, Chao Wu, Simon Hu
2021 A conf
'Could You Describe the Reason for the Transfer?': A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds.
CIKM
Zihao Wang, Fudong Wang, Haipeng Zhang, Minghui Yang, Shaosheng Cao, Zujie Wen, Zhe Zhang
2021 — conf
A Dialogue-based Information Extraction System for Medical Insurance Assessment.
ACL/IJCNLP (Findings)
Shuang Peng, Mengdi Zhou, Minghui Yang, Haitao Mi, Shaosheng Cao, Zujie Wen, Teng Xu, Hongbin Wang, Lei Liu
2021 J jnl
A Dialogue-based Information Extraction System for Medical Insurance Assessment.
CoRR
Shuang Peng, Mengdi Zhou, Minghui Yang, Haitao Mi, Shaosheng Cao, Zujie Wen, Teng Xu, Hongbin Wang, Lei Liu
2021 A* conf
IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation.
ICDE
Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li
2020 A* conf
ServiceGroup: A Human-Machine Cooperation Solution for Group Chat Customer Service.
SIGIR
Minghui Yang, Hengbin Cui, Shaosheng Cao, Yafang Wang, Xiaolong Li
2019 J jnl
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial.
CoRR
Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi
2019 J jnl
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial.
Proc. VLDB Endow.
Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi
2018 A* conf
cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information.
AAAI
Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li
2017 A* conf
Improving Word Embeddings with Convolutional Feature Learning and Subword Information.
AAAI
Shaosheng Cao, Wei Lu
2017 — conf
Investigating Stroke-Level Information for Learning Chinese Word Embeddings.
ISWC (Posters, Demos & Industry Tracks)
Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li
2017 A* conf
POSTER: Actively Detecting Implicit Fraudulent Transactions.
CCS
Shaosheng Cao, Xinxing Yang, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi, Kai Xiao
2016 A* conf
Deep Neural Networks for Learning Graph Representations.
AAAI
Shaosheng Cao, Wei Lu, Qiongkai Xu
2015 A conf
GraRep: Learning Graph Representations with Global Structural Information.
CIKM
Shaosheng Cao, Wei Lu, Qiongkai Xu