Daochen Zha

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 98

Top Venues

Publications

Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang
Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering. ACL (1) (2024)
Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang
Cost-efficient Knowledge-based Question Answering with Large Language Models. CoRR (2024)
Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, Qiaoyu Tan
GraphFM: A Comprehensive Benchmark for Graph Foundation Model. CoRR (2024)
Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. KDD (2024)
Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. CoRR (2024)
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
Dynamic datasets and market environments for financial reinforcement learning. Mach. Learn. 113 (5) (2024)
Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Fu-Lai Chung
Denoising-Aware Contrastive Learning for Noisy Time Series. CoRR (2024)
Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering. CoRR (2024)
Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee
DCAI: Data-centric Artificial Intelligence. WWW (Companion Volume) (2024)
Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Qiaoyu Tan, Daochen Zha, Xia Hu
Understanding Different Design Choices in Training Large Time Series Models. CoRR (2024)
Xin Zhang, Daochen Zha, Qiaoyu Tan
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification. CoRR (2024)
Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. ICML (2023)
Xiao-Yang Liu, Guoxuan Wang, Daochen Zha
FinGPT: Democratizing Internet-scale Data for Financial Large Language Models. CoRR (2023)
Alain Andres, Daochen Zha, Javier Del Ser
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards. CoRR (2023)
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. CoRR (2023)
Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. CoRR (2023)
Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Meikang Qiu
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning. CoRR (2023)
Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
Tackling Diverse Minorities in Imbalanced Classification. CIKM (2023)
Alain Andres, Daochen Zha, Javier Del Ser
Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards. SSCI (2023)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Ben Hu
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR (2023)
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
Dynamic Datasets and Market Environments for Financial Reinforcement Learning. CoRR (2023)
Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. ICML (2023)
Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey. ACM Trans. Knowl. Discov. Data 17 (3) (2023)
Shaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu
One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning. NeurIPS (2023)
Zirui Liu, Guanchu Wang, Shaochen (Henry) Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. NeurIPS (2023)
Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. ICDM (2023)
Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. WSDM (2023)
Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu
Data-centric AI: Techniques and Future Perspectives. KDD (2023)
Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
Tackling Diverse Minorities in Imbalanced Classification. CoRR (2023)
Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. SIGIR (2023)
Qinggang Zhang, Junnan Dong, Hao Chen, Xiao Huang, Daochen Zha, Zailiang Yu
KnowGPT: Black-Box Knowledge Injection for Large Language Models. CoRR (2023)
Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao
Active Ensemble Learning for Knowledge Graph Error Detection. WSDM (2023)
Diego Martinez, Daochen Zha, Qiaoyu Tan, Xia Hu
Towards Personalized Preprocessing Pipeline Search. CoRR (2023)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM (2023)
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
Data-centric AI: Perspectives and Challenges. SDM (2023)
Yueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan
Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. Tiny Papers @ ICLR (2023)
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu
Data-centric Artificial Intelligence: A Survey. CoRR (2023)
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
Data-centric AI: Perspectives and Challenges. CoRR (2023)
Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. MLSys (2023)
Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR (2023)
Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. NeurIPS (2023)
Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. CoRR (2023)
Guanchu Wang, Ninghao Liu, Daochen Zha, Xia Hu
Interactive System-wise Anomaly Detection. CoRR (2023)
Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. CoRR (2022)
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
Towards Similarity-Aware Time-Series Classification. SDM (2022)
Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu
Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture. CoRR (2022)
Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. AMIA (2022)
Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems. CoRR (2022)
Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CIKM (2022)
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
AutoShard: Automated Embedding Table Sharding for Recommender Systems. KDD (2022)
Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations. CoRR (2022)
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla Reyes, Na Zou, Xia Hu
AutoVideo: An Automated Video Action Recognition System. IJCAI (2022)
Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xuanting Cai, Xia Hu
BED: A Real-Time Object Detection System for Edge Devices. CIKM (2022)
Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xia Hu
BED: A Real-Time Object Detection System for Edge Devices. CoRR (2022)
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
Towards Learning Disentangled Representations for Time Series. KDD (2022)
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR (2022)
Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Hu
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CoRR (2022)
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS (2022)
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
AutoShard: Automated Embedding Table Sharding for Recommender Systems. CoRR (2022)
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
Towards Similarity-Aware Time-Series Classification. CoRR (2022)
Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. CoRR (2021)
Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu
Learning Disentangled Representations for Time Series. CoRR (2021)
Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. ICML (2021)
Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Hu
Revisiting Time Series Outlier Detection: Definitions and Benchmarks. NeurIPS Datasets and Benchmarks (2021)
Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou
Modeling Techniques for Machine Learning Fairness: A Survey. CoRR (2021)
Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. CoRR (2021)
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
Simplifying Deep Reinforcement Learning via Self-Supervision. CoRR (2021)
Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. ICLR (2021)
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu
AutoVideo: An Automated Video Action Recognition System. CoRR (2021)
Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu
TODS: An Automated Time Series Outlier Detection System. AAAI (2021)
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. CoRR (2021)
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
AutoOD: Neural Architecture Search for Outlier Detection. ICDE (2021)
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. NeurIPS (2021)
Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. CoRR (2020)
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. NeurIPS (2020)
Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. CoRR (2020)
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
Multi-Channel Graph Neural Networks. IJCAI (2020)
Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. WWW (Companion Volume) (2020)
Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu
TODS: An Automated Time Series Outlier Detection System. CoRR (2020)
Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu
Policy-GNN: Aggregation Optimization for Graph Neural Networks. KDD (2020)
Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
Dual Policy Distillation. IJCAI (2020)
Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
Dual Policy Distillation. CoRR (2020)
Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu
RLCard: A Platform for Reinforcement Learning in Card Games. IJCAI (2020)
Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu
Policy-GNN: Aggregation Optimization for Graph Neural Networks. CoRR (2020)
Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. ICDM (2020)
Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. CoRR (2020)
Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. CoRR (2020)
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
Multi-Channel Graph Convolutional Networks. CoRR (2019)
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
Experience Replay Optimization. IJCAI (2019)
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
Experience Replay Optimization. CoRR (2019)
Yuening Li, Daochen Zha, Na Zou, Xia Hu
PyODDS: An End-to-End Outlier Detection System. CoRR (2019)
Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu
RLCard: A Toolkit for Reinforcement Learning in Card Games. CoRR (2019)
Daochen Zha, Chenliang Li
Multi-label dataless text classification with topic modeling. Knowl. Inf. Syst. 61 (1) (2019)
Yuan Shi, Huanguo Zhang, Juan Wang, Feng Xiao, Jianwei Huang, Daochen Zha, Hongxin Hu, Fei Yan, Bo Zhao
CHAOS: An SDN-Based Moving Target Defense System. Secur. Commun. Networks 2017 (2017)
Juan Wang, Feng Xiao, Jianwei Huang, Daochen Zha, Chengyang Fan, Wei Hu, Huanguo Zhang
A Security-Enhanced vTPM 2.0 for Cloud Computing. ICICS (2017)
Juan Wang, Feng Xiao, Jianwei Huang, Daochen Zha, Hongxin Hu, Huanguo Zhang
CHAOS: an SDN-based Moving Target Defense System. CoRR (2017)
Daochen Zha, Chenliang Li
Multi-label Dataless Text Classification with Topic Modeling. CoRR (2017)
Xianjin Zha, Wentao Wang, Yalan Yan, Jinchao Zhang, Daochen Zha
Understanding information seeking in digital libraries: antecedents and consequences. Aslib J. Inf. Manag. 67 (6) (2015)
Xianjin Zha, Jinchao Zhang, Yalan Yan, Daochen Zha
Sound information seeking in Web 2.0 virtual communities: the moderating effect of mindfulness. Behav. Inf. Technol. 34 (9) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daochen Zha