Zhenyu Hou

60 papers A* 10A 2Misc 1Journal 36Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training.
IEEE Trans. Knowl. Data Eng.
Yufei He, Zhenyu Hou, Yukuo Cen, Jun Hu, Feng He, Xu Cheng, Jie Tang, Bryan Hooi
2025 — conf
A Survey of Post-Training Scaling in Large Language Models.
ACL (1)
Hanyu Lai, Xiao Liu, Junjie Gao, Jiale Cheng, Zehan Qi, Yifan Xu, Shuntian Yao, Dan Zhang, Jinhua Du, Zhenyu Hou, Xin Lv, Minlie Huang, Yuxiao Dong, Jie Tang
2025 J jnl
Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling.
CoRR
Zhenyu Hou, Xin Lv, Rui Lu, Jiajie Zhang, Yujiang Li, Zijun Yao, Juanzi Li, Jie Tang, Yuxiao Dong
2025 J jnl
AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework.
CoRR
Hanchen Zhang, Xiao Liu, Bowen Lv, Xueqiao Sun, Bohao Jing, Iat Long Iong, Zhenyu Hou, Zehan Qi, Hanyu Lai, Yifan Xu, Rui Lu, Hongning Wang, Jie Tang, Yuxiao Dong
2025 A* conf
Controlling Large Language Model with Latent Action.
ICML
Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu
2025 J jnl
Controlling Large Language Model with Latent Actions.
CoRR
Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu
2025 J jnl
DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL.
CoRR
Rui Lu, Zhenyu Hou, Zihan Wang, Hanchen Zhang, Xiao Liu, Yujiang Li, Shi Feng, Jie Tang, Yuxiao Dong
2025 J jnl
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.
CoRR
Wenyi Hong, Wenmeng Yu, Xiaotao Gu, Guo Wang, Guobing Gan, Haomiao Tang, Jiale Cheng, Ji Qi, Junhui Ji, Lihang Pan, Shuaiqi Duan, Weihan Wang, Yan Wang, Yean Cheng, Zehai He, Zhe Su, Zhen Yang, Ziyang Pan, Aohan Zeng, Baoxu Wang, Boyan Shi, Changyu Pang, Chenhui Zhang, Da Yin, Fan Yang, Guoqing Chen, Jiazheng Xu, Jiali Chen, Jing Chen, Jinhao Chen, Jinghao Lin, Jinjiang Wang, Junjie Chen, Leqi Lei, Letian Gong, Leyi Pan, Mingzhi Zhang, Qinkai Zheng, Sheng Yang, Shi Zhong, Shiyu Huang, Shuyuan Zhao, Siyan Xue, Shangqin Tu, Shengbiao Meng, Tianshu Zhang, Tianwei Luo, Tianxiang Hao, Wenkai Li, Wei Jia, Xin Lyu, Xuancheng Huang, Yanling Wang, Yadong Xue, Yanfeng Wang, Yifan An, Yifan Du, Yiming Shi, Yiheng Huang, Yilin Niu, Yuan Wang, Yuanchang Yue, Yuchen Li, Yutao Zhang, Yuxuan Zhang, Zhanxiao Du, Zhenyu Hou, Zhao Xue, Zhengxiao Du, Zihan Wang, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Minlie Huang, Yuxiao Dong, Jie Tang
2025 — conf
Improving Grammatical Error Correction with Dynamic Linguistic Knowledge Fusion.
NLPCC (2)
Shichang Zhu, Xiao Liu, Ying Li, Zhenyu Hou, Zhengtao Yu
2025 — conf
LongReward: Improving Long-context Large Language Models with AI Feedback.
ACL (1)
Jiajie Zhang, Zhongni Hou, Xin Lv, Shulin Cao, Zhenyu Hou, Yilin Niu, Lei Hou, Yuxiao Dong, Ling Feng, Juanzi Li
2025 A* conf
Multimodal Neural Machine Translation: A Survey of the State of the Art.
EMNLP
Yi Feng, Chuanyi Li, Jiatong He, Zhenyu Hou, Vincent Ng
2025 A conf
Real-time Spatial-temporal Traversability Assessment via Feature-based Sparse Gaussian Process.
IROS
Senming Tan, Zhenyu Hou, Zhihao Zhang, Long Xu, Mengke Zhang, Zhaoqi He, Chao Xu, Fei Gao, Yanjun Cao
2025 J jnl
Real-time Spatial-temporal Traversability Assessment via Feature-based Sparse Gaussian Process.
CoRR
Senming Tan, Zhenyu Hou, Zhihao Zhang, Long Xu, Mengke Zhang, Zhaoqi He, Chao Xu, Fei Gao, Yanjun Cao
2025 J jnl
SAR Frequency-Shift Jamming Suppression Method by Shaping the Cross-Ambiguity Function.
IEEE Trans. Aerosp. Electron. Syst.
Kai Zhou, Zhenyu Hou, Zhongguo Wu, Kun Li, Dongdong Chen, Huiwei Yao
2025 — conf
SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling.
ACL (Findings)
Haoran Wang, Zhenyu Hou, Yao Wei, Jie Tang, Yuxiao Dong
2025 J jnl
SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling.
CoRR
Haoran Wang, Zhenyu Hou, Yao Wei, Jie Tang, Yuxiao Dong
2025 J jnl
Scaling Reinforcement Learning for Content Moderation with Large Language Models.
CoRR
Hamed Firooz, Rui Liu, Yuchen Lu, Zhenyu Hou, Fangzhou Xiong, Xiaoyang Zhang, Changshu Jian, Zhicheng Zhu, Jiayuan Ma, Jacob Tao, Chaitali Gupta, Xiaochang Peng, Shike Mei, Hang Cui, Yang Qin, Shuo Tang, Jason Gaedtke, Arpit Mittal
2025 — conf
SceneGenAgent: Precise Industrial Scene Generation with Coding Agent.
ACL (1)
Xiao Xia, Dan Zhang, Zibo Liao, Zhenyu Hou, Tianrui Sun, Jing Li, Ling Fu, Yuxiao Dong
2025 J jnl
Staggered Batch Scheduling: Co-optimizing Time-to-First-Token and Throughput for High-Efficiency LLM Inference.
CoRR
Jian Tian, Shuailong Li, Yang Cao, Wenbo Cui, Minghan Zhu, Wenkang Wu, Jianming Zhang, Yanpeng Wang, Zhiwen Xiao, Zhenyu Hou, Dou Shen
2025 A* conf
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling.
ICML
Zhenyu Hou, Xin Lv, Rui Lu, Jiajie Zhang, Yujiang Li, Zijun Yao, Juanzi Li, Jie Tang, Yuxiao Dong
2025 J jnl
Tracailer: An Efficient Trajectory Planner for Tractor-Trailer Robots in Unstructured Environments.
IEEE Trans Autom. Sci. Eng.
Long Xu, Kaixin Chai, Boyuan An, Shuhang Ji, Zhenyu Hou, Jiaxiang Gan, Qianhao Wang, Yuan Zhou, Xiaoying Li, Junxiao Lin, Zhichao Han, Chao Xu, Yanjun Cao, Fei Gao
2025 — conf
TreeRL: LLM Reinforcement Learning with On-Policy Tree Search.
ACL (1)
Zhenyu Hou, Ziniu Hu, Yujiang Li, Rui Lu, Jie Tang, Yuxiao Dong
2025 J jnl
TreeRL: LLM Reinforcement Learning with On-Policy Tree Search.
CoRR
Zhenyu Hou, Ziniu Hu, Yujiang Li, Rui Lu, Jie Tang, Yuxiao Dong
2024 — conf
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline.
EMNLP (Findings)
Yifan Xu, Xiao Liu, Xinghan Liu, Zhenyu Hou, Yueyan Li, Xiaohan Zhang, Zihan Wang, Aohan Zeng, Zhengxiao Du, Wenyi Zhao, Jie Tang, Yuxiao Dong
2024 J jnl
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline.
CoRR
Yifan Xu, Xiao Liu, Xinghan Liu, Zhenyu Hou, Yueyan Li, Xiaohan Zhang, Zihan Wang, Aohan Zeng, Zhengxiao Du, Wenyi Zhao, Jie Tang, Yuxiao Dong
2024 J jnl
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback.
CoRR
Zhenyu Hou, Yilin Niu, Zhengxiao Du, Xiaohan Zhang, Xiao Liu, Aohan Zeng, Qinkai Zheng, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong
2024 J jnl
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
CoRR
Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, Hao Yu, Hongning Wang, Jiadai Sun, Jiajie Zhang, Jiale Cheng, Jiayi Gui, Jie Tang, Jing Zhang, Juanzi Li, Lei Zhao, Lindong Wu, Lucen Zhong, Mingdao Liu, Minlie Huang, Peng Zhang, Qinkai Zheng, Rui Lu, Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xiao Xia, Xiaohan Zhang, Xiaotao Gu, Xin Lv, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Xunkai Zhang, Yifan An, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Zhen Yang, Zhengxiao Du, Zhenyu Hou, Zihan Wang
2024 J jnl
Does RLHF Scale? Exploring the Impacts From Data, Model, and Method.
CoRR
Zhenyu Hou, Pengfan Du, Yilin Niu, Zhengxiao Du, Aohan Zeng, Xiao Liu, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong
2024 — conf
EpilepsyNet: A Self-Calibrating Deep Learning Network for Accurate and Robust Seizure Detection.
BIBM
Wenhao Li, Zhenyu Hou, Shi Chang, Zhenhong Ye, Yihang Bao, Jingtong Zhao, Guan Ning Lin
2024 J jnl
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data.
CoRR
Yufei He, Zhenyu Hou, Yukuo Cen, Feng He, Xu Cheng, Bryan Hooi
2024 J jnl
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment.
CoRR
Zhenyu Hou, Haozhan Li, Yukuo Cen, Jie Tang, Yuxiao Dong
2024 J jnl
LongReward: Improving Long-context Large Language Models with AI Feedback.
CoRR
Jiajie Zhang, Zhongni Hou, Xin Lv, Shulin Cao, Zhenyu Hou, Yilin Niu, Lei Hou, Yuxiao Dong, Ling Feng, Juanzi Li
2024 J jnl
Power Conversion Internet of Things: Architecture, Key Technologies and Prospects.
IEEE Trans. Ind. Informatics
Kangjia Zhou, Feng Gao, Zhenyu Hou, Xiangjian Meng
2024 J jnl
Progressive modality-complement aggregative multitransformer for domain multi-modal neural machine translation.
Pattern Recognit.
Junjun Guo, Zhenyu Hou, Yantuan Xian, Zhengtao Yu
2024 J jnl
SceneGenAgent: Precise Industrial Scene Generation with Coding Agent.
CoRR
Xiao Xia, Dan Zhang, Zibo Liao, Zhenyu Hou, Tianrui Sun, Jing Li, Ling Fu, Yuxiao Dong
2024 A* conf
Virtual Visual-Guided Domain-Shadow Fusion via Modal Exchanging for Domain-Specific Multi-Modal Neural Machine Translation.
ACM Multimedia
Zhenyu Hou, Junjun Guo
2023 J jnl
Automated Unsupervised Graph Representation Learning.
IEEE Trans. Knowl. Data Eng.
Zhenyu Hou, Yukuo Cen, Yuxiao Dong, Jie Zhang, Jie Tang
2023 A* conf
CogDL: A Comprehensive Library for Graph Deep Learning.
WWW
Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang
2023 A* conf
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner.
WWW
Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang
2023 J jnl
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner.
CoRR
Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang
2023 A* conf
MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis.
AAAI
Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang, Xuanhe Li, Lei Hong, Jie Tang
2023 J jnl
Performance Analysis of Wavenumber Domain Algorithms for Highly Squinted SAR.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xing Chen, Zhenyu Hou, Zhen Dong, Zhihua He
2023 J jnl
Self-Supervised Learning: Generative or Contrastive.
IEEE Trans. Knowl. Data Eng.
Xiao Liu, Fanjin Zhang, Zhenyu Hou, Li Mian, Zhaoyu Wang, Jing Zhang, Jie Tang
2023 J jnl
Tempura: a general cost-based optimizer framework for incremental data processing (Journal Version).
VLDB J.
Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou
2022 A* conf
GraphMAE: Self-Supervised Masked Graph Autoencoders.
KDD
Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang
2022 J jnl
GraphMAE: Self-Supervised Masked Graph Autoencoders.
CoRR
Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang
2022 J jnl
Understanding WeChat User Preferences and "Wow" Diffusion.
IEEE Trans. Knowl. Data Eng.
Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu
2021 J jnl
CogDL: An Extensive Toolkit for Deep Learning on Graphs.
CoRR
Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang
2021 J jnl
Improving the Training of Graph Neural Networks with Consistency Regularization.
CoRR
Chenhui Zhang, Yufei He, Yukuo Cen, Zhenyu Hou, Jie Tang
2021 A* conf
Swift: Reliable and Low-Latency Data Processing at Cloud Scale.
ICDE
Bo Wang, Zhenyu Hou, Yangyu Tao, Yifeng Lu, Chao Li, Tao Guan, Xiaowei Jiang, Jinlei Jiang
2021 J jnl
Understanding WeChat User Preferences and "Wow" Diffusion.
CoRR
Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu
2020 — conf
Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing.
SIGMOD Conference
Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou
2020 J jnl
Self-supervised Learning: Generative or Contrastive.
CoRR
Xiao Liu, Fanjin Zhang, Zhenyu Hou, Zhaoyu Wang, Li Mian, Jing Zhang, Jie Tang
2020 J jnl
Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version).
CoRR
Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou
2020 J jnl
Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing.
Proc. VLDB Endow.
Zuozhi Wang, Kai Zeng, Botong Huang, Wei Chen, Xiaozong Cui, Bo Wang, Ji Liu, Liya Fan, Dachuan Qu, Zhenyu Hou, Tao Guan, Chen Li, Jingren Zhou
2017 — conf
Detection of Single and Double PSs Based on Scattering Characteristic in SAR Tomography.
CSPS
Zhenyu Hou, Hui Luo, Zhen Dong
2017 — conf
Detection of single and double persistent scatterers based on RELAX in SAR tomography.
ICSPCC
Zhenyu Hou, Hui Luo, Zhen Dong
2015 Misc conf
Atlas: Baidu's key-value storage system for cloud data.
MSST
Chunbo Lai, Song Jiang, Liqiong Yang, Shiding Lin, Guangyu Sun, Zhenyu Hou, Can Cui, Jason Cong
2014 A* conf
SDF: software-defined flash for web-scale internet storage systems.
ASPLOS
Jian Ouyang, Shiding Lin, Song Jiang, Zhenyu Hou, Yong Wang, Yuanzheng Wang
2013 A conf
Active SSD design for energy-efficiency improvement of web-scale data analysis.
ISLPED
Jian Ouyang, Shiding Lin, Zhenyu Hou, Peng Wang, Yong Wang, Guangyu Sun