Daochen Zha

Orcid: 0000-0002-6677-7504

According to our database1, Daochen Zha authored at least 68 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering.
CoRR, 2024

2023
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey.
ACM Trans. Knowl. Discov. Data, April, 2023

Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning.
CoRR, 2023

KnowGPT: Black-Box Knowledge Injection for Large Language Models.
CoRR, 2023

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.
CoRR, 2023

FinGPT: Democratizing Internet-scale Data for Financial Large Language Models.
CoRR, 2023

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning.
CoRR, 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.
CoRR, 2023

Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models.
CoRR, 2023

Dynamic Datasets and Market Environments for Financial Reinforcement Learning.
CoRR, 2023

Interactive System-wise Anomaly Detection.
CoRR, 2023

Data-centric Artificial Intelligence: A Survey.
CoRR, 2023

Towards Personalized Preprocessing Pipeline Search.
CoRR, 2023

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Active Ensemble Learning for Knowledge Graph Error Detection.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Data-centric AI: Perspectives and Challenges.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data-centric AI: Techniques and Future Perspectives.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations.
Proceedings of the International Conference on Machine Learning, 2023

SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems.
Proceedings of the International Conference on Machine Learning, 2023

Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Tackling Diverse Minorities in Imbalanced Classification.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations.
CoRR, 2022

Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture.
CoRR, 2022

BED: A Real-Time Object Detection System for Edge Devices.
CoRR, 2022

Towards Similarity-Aware Time-Series Classification.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

DreamShard: Generalizable Embedding Table Placement for Recommender Systems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AutoShard: Automated Embedding Table Sharding for Recommender Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Learning Disentangled Representations for Time Series.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

AutoVideo: An Automated Video Action Recognition System.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

BED: A Real-Time Object Detection System for Edge Devices.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning.
Proceedings of the AMIA 2022, 2022

2021
Modeling Techniques for Machine Learning Fairness: A Survey.
CoRR, 2021

AutoVideo: An Automated Video Action Recognition System.
CoRR, 2021

Simplifying Deep Reinforcement Learning via Self-Supervision.
CoRR, 2021

Learning Disentangled Representations for Time Series.
CoRR, 2021

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Revisiting Time Series Outlier Detection: Definitions and Benchmarks.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.
Proceedings of the 9th International Conference on Learning Representations, 2021

AutoOD: Neural Architecture Search for Outlier Detection.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

TODS: An Automated Time Series Outlier Detection System.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning.
CoRR, 2020

PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Towards Deeper Graph Neural Networks with Differentiable Group Normalization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Policy-GNN: Aggregation Optimization for Graph Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Multi-Channel Graph Neural Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

RLCard: A Platform for Reinforcement Learning in Card Games.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dual Policy Distillation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Multi-label dataless text classification with topic modeling.
Knowl. Inf. Syst., 2019

Multi-Channel Graph Convolutional Networks.
CoRR, 2019

RLCard: A Toolkit for Reinforcement Learning in Card Games.
CoRR, 2019

PyODDS: An End-to-End Outlier Detection System.
CoRR, 2019

Experience Replay Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017
CHAOS: An SDN-Based Moving Target Defense System.
Secur. Commun. Networks, 2017

CHAOS: an SDN-based Moving Target Defense System.
CoRR, 2017

A Security-Enhanced vTPM 2.0 for Cloud Computing.
Proceedings of the Information and Communications Security - 19th International Conference, 2017

2015
Sound information seeking in Web 2.0 virtual communities: the moderating effect of mindfulness.
Behav. Inf. Technol., 2015

Understanding information seeking in digital libraries: antecedents and consequences.
Aslib J. Inf. Manag., 2015


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