Daochen Zha
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
15
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CIKM | Learning to Comparison-Shop. | Jie Tang, Daochen Zha, Xin Liu, Huiji Gao, Liwei He, Stephanie Moyerman, Sanjeev Katariya |
| 2025 | CIKM | Beyond Pairwise Learning-To-Rank At Airbnb. | Malay Haldar, Daochen Zha, Huiji Gao, Liwei He, Sanjeev Katariya |
| 2025 | ICLR | MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations. | Shaochen (Henry) Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu |
| 2024 | ACL | Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering. | Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang |
| 2024 | IJCAI | Denoising-Aware Contrastive Learning for Noisy Time Series. | Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung |
| 2024 | IJCAI | Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method. | Qian Luo, Tien Ping Tan, Daochen Zha, Tianqiao Zhang |
| 2024 | KDD | GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. | Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan |
| 2024 | WWW | DCAI: Data-centric Artificial Intelligence. | Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee |
| 2023 | CIKM | DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. | 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 |
| 2023 | CIKM | Tackling Diverse Minorities in Imbalanced Classification. | Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu |
| 2023 | ICDM | Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. | Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu |
| 2023 | ICLR | Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. | Yueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan |
| 2023 | ICML | SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. | Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian |
| 2023 | ICML | RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. | Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu |
| 2023 | KDD | Data-centric AI: Techniques and Future Perspectives. | Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu |
| 2023 | SIGIR | Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. | Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang |
| 2023 | WSDM | Active Ensemble Learning for Knowledge Graph Error Detection. | Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao |
| 2023 | WSDM | Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. | Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu |
| 2023 | SDM | Data-centric AI: Perspectives and Challenges. | Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu |
| 2022 | AMIA | Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. | Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu |
| 2022 | CIKM | BED: A Real-Time Object Detection System for Edge Devices. | Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla-Reyes, Afshin Niktash, Mehmet Grkem Ulkar, Osman Erman Okman, Xuanting Cai, Xia Ben Hu |
| 2022 | CIKM | Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. | Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu |
| 2022 | IJCAI | AutoVideo: An Automated Video Action Recognition System. | 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 |
| 2022 | KDD | Towards Learning Disentangled Representations for Time Series. | Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu |
| 2022 | KDD | AutoShard: Automated Embedding Table Sharding for Recommender Systems. | Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu |
| 2022 | SDM | Towards Similarity-Aware Time-Series Classification. | Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu |
| 2021 | AAAI | TODS: An Automated Time Series Outlier Detection System. | Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu |
| 2021 | ICDE | AutoOD: Neural Architecture Search for Outlier Detection. | Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu |
| 2021 | ICLR | Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. | Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu |
| 2021 | ICML | DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. | Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu |
| 2020 | ICDM | Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. | Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu |
| 2020 | IJCAI | Dual Policy Distillation. | Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu |
| 2020 | IJCAI | RLCard: A Platform for Reinforcement Learning in Card Games. | Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu |
| 2020 | IJCAI | Multi-Channel Graph Neural Networks. | Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu |
| 2020 | KDD | Policy-GNN: Aggregation Optimization for Graph Neural Networks. | Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu |
| 2020 | WWW | PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. | Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu |
| 2019 | IJCAI | Experience Replay Optimization. | Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu |
| 2017 | ICICS | A Security-Enhanced vTPM 2.0 for Cloud Computing. | Juan Wang, Feng Xiao, Jianwei Huang, Daochen Zha, Chengyang Fan, Wei Hu, Huanguo Zhang |