Zhenyu Hou

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
FLIP: Real-Time and Resilient Formation Planning for Large-Scale DIstributed Swarms via Point Cloud Registration.
CoRR, May, 2026

Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training.
IEEE Trans. Knowl. Data Eng., February, 2026

2025
Scaling Reinforcement Learning for Content Moderation with Large Language Models.
CoRR, December, 2025

Staggered Batch Scheduling: Co-optimizing Time-to-First-Token and Throughput for High-Efficiency LLM Inference.
CoRR, December, 2025

AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework.
CoRR, October, 2025

Virtual Domain-Guided Cross-Modal Distillation with Multi-View Correlation Awareness.
Dataset, October, 2025

DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL.
CoRR, September, 2025

GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.
CoRR, July, 2025

SAR Frequency-Shift Jamming Suppression Method by Shaping the Cross-Ambiguity Function.
IEEE Trans. Aerosp. Electron. Syst., June, 2025

Controlling Large Language Model with Latent Actions.
CoRR, March, 2025

Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling.
CoRR, January, 2025

Tracailer: An Efficient Trajectory Planner for Tractor-Trailer Robots in Unstructured Environments.
IEEE Trans Autom. Sci. Eng., 2025

Improving Grammatical Error Correction with Dynamic Linguistic Knowledge Fusion.
Proceedings of the Natural Language Processing and Chinese Computing, 2025

Real-time Spatial-temporal Traversability Assessment via Feature-based Sparse Gaussian Process.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Controlling Large Language Model with Latent Action.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Multimodal Neural Machine Translation: A Survey of the State of the Art.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LongReward: Improving Long-context Large Language Models with AI Feedback.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SceneGenAgent: Precise Industrial Scene Generation with Coding Agent.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

A Survey of Post-Training Scaling in Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Power Conversion Internet of Things: Architecture, Key Technologies and Prospects.
IEEE Trans. Ind. Informatics, August, 2024

Progressive modality-complement aggregative multitransformer for domain multi-modal neural machine translation.
Pattern Recognit., 2024

Does RLHF Scale? Exploring the Impacts From Data, Model, and Method.
CoRR, 2024

Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data.
CoRR, 2024

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
CoRR, 2024

GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment.
CoRR, 2024

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback.
CoRR, 2024

Virtual Visual-Guided Domain-Shadow Fusion via Modal Exchanging for Domain-Specific Multi-Modal Neural Machine Translation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

EpilepsyNet: A Self-Calibrating Deep Learning Network for Accurate and Robust Seizure Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Tempura: a general cost-based optimizer framework for incremental data processing (Journal Version).
VLDB J., November, 2023

Automated Unsupervised Graph Representation Learning.
IEEE Trans. Knowl. Data Eng., March, 2023

Self-Supervised Learning: Generative or Contrastive.
IEEE Trans. Knowl. Data Eng., 2023

Performance Analysis of Wavenumber Domain Algorithms for Highly Squinted SAR.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner.
Proceedings of the ACM Web Conference 2023, 2023

CogDL: A Comprehensive Library for Graph Deep Learning.
Proceedings of the ACM Web Conference 2023, 2023

HCU: A Multi-lingual Health Claim Dataset and Its NLP Applications.
Proceedings of the Bio-Inspired Computing, 2023

MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Understanding WeChat User Preferences and "Wow" Diffusion.
IEEE Trans. Knowl. Data Eng., 2022

GraphMAE: Self-Supervised Masked Graph Autoencoders.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Improving the Training of Graph Neural Networks with Consistency Regularization.
CoRR, 2021

CogDL: An Extensive Toolkit for Deep Learning on Graphs.
CoRR, 2021

Swift: Reliable and Low-Latency Data Processing at Cloud Scale.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing.
Proc. VLDB Endow., 2020

Tempura: A General Cost Based Optimizer Framework for Incremental Data Processing (Extended Version).
CoRR, 2020

Grosbeak: A Data Warehouse Supporting Resource-Aware Incremental Computing.
Proceedings of the 2020 International Conference on Management of Data, 2020

2017
Detection of single and double persistent scatterers based on RELAX in SAR tomography.
Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017

Detection of Single and Double PSs Based on Scattering Characteristic in SAR Tomography.
Proceedings of the Communications, Signal Processing, and Systems, 2017

2015
Atlas: Baidu's key-value storage system for cloud data.
Proceedings of the IEEE 31st Symposium on Mass Storage Systems and Technologies, 2015

2014
SDF: software-defined flash for web-scale internet storage systems.
Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2014

2013
Active SSD design for energy-efficiency improvement of web-scale data analysis.
Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED), 2013


  Loading...