Ziniu Hu

According to our database1, Ziniu Hu authored at least 52 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Spatial-Dependent Robust Control Strategy for On-Ramp Merging.
IEEE Trans. Veh. Technol., March, 2024

Thought Graph: Generating Thought Process for Biological Reasoning.
CoRR, 2024

SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code.
CoRR, 2024

Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion.
CoRR, 2024

Can Large Language Model Agents Simulate Human Trust Behaviors?
CoRR, 2024

SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning.
CoRR, 2024

2023
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems.
CoRR, 2023

From Text to Tactic: Evaluating LLMs Playing the Game of Avalon.
CoRR, 2023

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models.
CoRR, 2023

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware.
CoRR, 2023

AVIS: Autonomous Visual Information Seeking with Large Language Models.
CoRR, 2023

Professional Basketball Player Behavior Synthesis via Planning with Diffusion.
CoRR, 2023

Learning to Group Auxiliary Datasets for Molecule.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Empowering Language Models with Knowledge Graph Reasoning for Question Answering.
CoRR, 2022

Zero-shot Domain Adaptation of Heterogeneous Graphs via Knowledge Transfer Networks.
CoRR, 2022

Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Multi-Task Generalization via Regularizing Spurious Correlation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Fuzzy Logic Based Logical Query Answering on Knowledge Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Fuzzy Logic based Logical Query Answering on Knowledge Graph.
CoRR, 2021

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Relation-Guided Pre-Training for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps.
ACM Trans. Web, 2020

Motif-Driven Contrastive Learning of Graph Representations.
CoRR, 2020

Heterogeneous Graph Transformer.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

GPT-GNN: Generative Pre-Training of Graph Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Heterogeneous Network Representation Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Improving Neural Language Generation with Spectrum Control.
Proceedings of the 8th International Conference on Learning Representations, 2020

Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction.
CoRR, 2019

Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm.
Proceedings of the World Wide Web Conference, 2019

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification.
Proceedings of the World Wide Web Conference, 2019

FaceOff: Assisting the Manifestation Design of Web Graphical User Interface.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Paladin: Automated Generation of Reproducible Test Cases for Android Apps.
Proceedings of the 20th International Workshop on Mobile Computing Systems and Applications, 2019

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

LinkRadar: Assisting the Analysis of Inter-app Page Links via Transfer Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Few-Shot Representation Learning for Out-Of-Vocabulary Words.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
A Novel Algorithm for Unbiased Learning to Rank.
CoRR, 2018

Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification.
CoRR, 2018

Aladdin: Automating Release of Deep-Link APIs on Android.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

2017
Automating Release of Deep Link APIs for Android Applications.
CoRR, 2017

DroidWalker: Generating Reproducible Test Cases via Automatic Exploration of Android Apps.
CoRR, 2017

Towards Release Strategy Optimization for Apps in Google Play.
CoRR, 2017

Roaming across the Castle Tunnels: an Empirical Study of Inter-App Navigation Behaviors of Android Users.
CoRR, 2017

Towards Release Strategy Optimization for Apps in Google Play.
Proceedings of the 9th Asia-Pacific Symposium on Internetware, 2017

Aladdin: automating release of Android deep links to in-app content.
Proceedings of the 39th International Conference on Software Engineering, 2017

2016
DroidLink: Automated Generation of Deep Links for Android Apps.
CoRR, 2016


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