Daochen Zha - RankMe

120 papers A* 30A 10C 1Misc 1Journal 70Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GraphVLM: Benchmarking Vision Language Models for Multimodal Graph Learning. CoRR Jiajin Liu, Dongzhe Fan, Chuanhao Ji, Daochen Zha, Qiaoyu Tan
2026	J	`jnl`	Self-Monitoring Large Language Models for Click-Through Rate Prediction. ACM Trans. Inf. Syst. Huachi Zhou, Kaijing Yu, Qinggang Zhang, Hao Chen, Daochen Zha, Wenqi Pei, Anthony Kong, Xiao Huang
2025	A	`conf`	Beyond Pairwise Learning-To-Rank At Airbnb. CIKM Malay Haldar, Daochen Zha, Huiji Gao, Liwei He, Sanjeev Katariya
2025	J	`jnl`	Beyond Pairwise Learning-To-Rank At Airbnb. CoRR Malay Haldar, Daochen Zha, Huiji Gao, Liwei He, Sanjeev Katariya
2025	J	`jnl`	Data-centric Artificial Intelligence: A Survey. ACM Comput. Surv. Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Ben Hu
2025	J	`jnl`	Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning. ACM Trans. Manag. Inf. Syst. Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Matt White, Meikang Qiu
2025	J	`jnl`	FairAlloc: Learning Fair Organ Allocation Policy for Liver Transplant. J. Heal. Informatics Res. Sirui Ding, Daochen Zha, Kai Zhang, Luyao Chen, Xiaoqian Jiang, Xia Hu, Na Zou
2025	J	`jnl`	FinLoRA: Benchmarking LoRA Methods for Fine-Tuning LLMs on Financial Datasets. CoRR Dannong Wang, Jaisal Patel, Daochen Zha, Steve Y. Yang, Xiao-Yang Liu
2025	J	`jnl`	Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning. CoRR Jiajin Liu, Dongzhe Fan, Jiacheng Shen, Chuanhao Ji, Daochen Zha, Qiaoyu Tan
2025	J	`jnl`	LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting. SIGKDD Explor. Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Songyuan Sui, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Alfredo Costilla-Reyes, Daochen Zha, Xia Hu
2025	A	`conf`	Learning to Comparison-Shop. CIKM Jie Tang, Daochen Zha, Xin Liu, Huiji Gao, Liwei He, Stephanie Moyerman, Sanjeev Katariya
2025	J	`jnl`	Learning to Comparison-Shop. CoRR Jie Tang, Daochen Zha, Xin Liu, Huiji Gao, Liwei He, Stephanie Moyerman, Sanjeev Katariya
2025	A*	`conf`	MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations. ICLR 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	A*	`conf`	Cost-efficient Knowledge-based Question Answering with Large Language Models. NeurIPS Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang
2024	J	`jnl`	Cost-efficient Knowledge-based Question Answering with Large Language Models. CoRR Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang
2024	—	`conf`	Customized FinGPT Search Agents Using Foundation Models. ICAIF Felix Tian, Ajay Byadgi, Daniel S. Kim, Daochen Zha, Matt White, Kairong Xiao, Xiao-Yang Liu
2024	J	`jnl`	Customized FinGPT Search Agents Using Foundation Models. CoRR Felix Tian, Ajay Byadgi, Daniel S. Kim, Daochen Zha, Matt White, Kairong Xiao, Xiaoyang Li
2024	—	`conf`	DCAI: Data-centric Artificial Intelligence. WWW (Companion Volume) Wei Jin, Haohan Wang, Daochen Zha, Qiaoyu Tan, Yao Ma, Sharon Li, Su-In Lee
2024	A*	`conf`	Denoising-Aware Contrastive Learning for Noisy Time Series. IJCAI Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung
2024	J	`jnl`	Denoising-Aware Contrastive Learning for Noisy Time Series. CoRR Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Fu-Lai Chung
2024	J	`jnl`	Dynamic datasets and market environments for financial reinforcement learning. Mach. Learn. Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
2024	J	`jnl`	E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification. CoRR Xin Zhang, Daochen Zha, Qiaoyu Tan
2024	A*	`conf`	Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method. IJCAI Qian Luo, Tien Ping Tan, Daochen Zha, Tianqiao Zhang
2024	A*	`conf`	GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. KDD Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan
2024	J	`jnl`	GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. CoRR Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan
2024	J	`jnl`	GraphFM: A Comprehensive Benchmark for Graph Foundation Model. CoRR Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, Qiaoyu Tan
2024	A*	`conf`	KnowGPT: Knowledge Graph based Prompting for Large Language Models. NeurIPS Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang
2024	J	`jnl`	Large Language Models for Disease Diagnosis: A Scoping Review. CoRR Shuang Zhou, Zidu Xu, Mian Zhang, Chunpu Xu, Yawen Guo, Zaifu Zhan, Sirui Ding, Jiashuo Wang, Kaishuai Xu, Yi Fang, Liqiao Xia, Jeremy Yeung, Daochen Zha, Genevieve B. Melton, Mingquan Lin, Rui Zhang
2024	—	`conf`	Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering. ACL (1) Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang
2024	J	`jnl`	Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering. CoRR Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang
2024	J	`jnl`	Understanding Different Design Choices in Training Large Time Series Models. CoRR 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
2023	A	`conf`	Active Ensemble Learning for Knowledge Graph Error Detection. WSDM Junnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao
2023	A*	`conf`	Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. SIGIR Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang
2023	A	`conf`	Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. WSDM Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023	A	`conf`	Data-centric AI: Perspectives and Challenges. SDM Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
2023	J	`jnl`	Data-centric AI: Perspectives and Challenges. CoRR Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
2023	A*	`conf`	Data-centric AI: Techniques and Future Perspectives. KDD Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu
2023	J	`jnl`	Data-centric Artificial Intelligence: A Survey. CoRR Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu
2023	J	`jnl`	Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning. CoRR Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Meikang Qiu
2023	A	`conf`	DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM 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	J	`jnl`	DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR 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
2023	A*	`conf`	Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. ICDM Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu
2023	J	`jnl`	Dynamic Datasets and Market Environments for Financial Reinforcement Learning. CoRR Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
2023	—	`conf`	Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards. SSCI Alain Andres, Daochen Zha, Javier Del Ser
2023	J	`jnl`	Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards. CoRR Alain Andres, Daochen Zha, Javier Del Ser
2023	J	`jnl`	Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. CoRR Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
2023	J	`jnl`	FinGPT: Democratizing Internet-scale Data for Financial Large Language Models. CoRR Xiao-Yang Liu, Guoxuan Wang, Daochen Zha
2023	J	`jnl`	In-Processing Modeling Techniques for Machine Learning Fairness: A Survey. ACM Trans. Knowl. Discov. Data Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou
2023	J	`jnl`	Interactive System-wise Anomaly Detection. CoRR Guanchu Wang, Ninghao Liu, Daochen Zha, Xia Ben Hu
2023	J	`jnl`	KnowGPT: Black-Box Knowledge Injection for Large Language Models. CoRR Qinggang Zhang, Junnan Dong, Hao Chen, Xiao Huang, Daochen Zha, Zailiang Yu
2023	—	`conf`	Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. Tiny Papers @ ICLR Yueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan
2023	A*	`conf`	One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning. NeurIPS Shaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu
2023	A*	`conf`	OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. NeurIPS Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang
2023	J	`jnl`	OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. CoRR Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen
2023	—	`conf`	Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. MLSys Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2023	J	`jnl`	Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. CoRR Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2023	A*	`conf`	RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. ICML Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
2023	A*	`conf`	SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. ICML Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
2023	A	`conf`	Tackling Diverse Minorities in Imbalanced Classification. CIKM Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
2023	J	`jnl`	Tackling Diverse Minorities in Imbalanced Classification. CoRR Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
2023	J	`jnl`	Towards Personalized Preprocessing Pipeline Search. CoRR Diego Martinez, Daochen Zha, Qiaoyu Tan, Xia Hu
2023	A*	`conf`	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. NeurIPS Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
2023	J	`jnl`	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu
2022	J	`jnl`	Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture. CoRR Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu
2022	A*	`conf`	AutoShard: Automated Embedding Table Sharding for Recommender Systems. KDD Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
2022	J	`jnl`	AutoShard: Automated Embedding Table Sharding for Recommender Systems. CoRR Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
2022	A*	`conf`	AutoVideo: An Automated Video Action Recognition System. IJCAI 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	J	`jnl`	Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2022	A	`conf`	BED: A Real-Time Object Detection System for Edge Devices. CIKM 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 Ben Hu
2022	J	`jnl`	BED: A Real-Time Object Detection System for Edge Devices. CoRR Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla-Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xia Ben Hu
2022	J	`jnl`	Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. CoRR Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022	A*	`conf`	DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	J	`jnl`	DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	Misc	`conf`	Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. AMIA Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
2022	J	`jnl`	RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations. CoRR Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
2022	J	`jnl`	SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems. CoRR Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
2022	A	`conf`	Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CIKM Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
2022	J	`jnl`	Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CoRR Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
2022	A*	`conf`	Towards Learning Disentangled Representations for Time Series. KDD Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
2022	A	`conf`	Towards Similarity-Aware Time-Series Classification. SDM Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2022	J	`jnl`	Towards Similarity-Aware Time-Series Classification. CoRR Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2021	A*	`conf`	AutoOD: Neural Architecture Search for Outlier Detection. ICDE Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2021	J	`jnl`	AutoVideo: An Automated Video Action Recognition System. CoRR 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
2021	A*	`conf`	Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. NeurIPS Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021	J	`jnl`	Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. CoRR Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021	A*	`conf`	DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. ICML Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu
2021	J	`jnl`	DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. CoRR Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu
2021	J	`jnl`	Learning Disentangled Representations for Time Series. CoRR Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu
2021	J	`jnl`	Modeling Techniques for Machine Learning Fairness: A Survey. CoRR Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou
2021	A*	`conf`	Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. ICLR Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu
2021	J	`jnl`	Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. CoRR Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu
2021	—	`conf`	Revisiting Time Series Outlier Detection: Definitions and Benchmarks. NeurIPS Datasets and Benchmarks Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Ben Hu
2021	J	`jnl`	Simplifying Deep Reinforcement Learning via Self-Supervision. CoRR Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2021	A*	`conf`	TODS: An Automated Time Series Outlier Detection System. AAAI Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu
2020	J	`jnl`	AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. CoRR Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
2020	A*	`conf`	Dual Policy Distillation. IJCAI Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
2020	J	`jnl`	Dual Policy Distillation. CoRR Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
2020	A*	`conf`	Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. ICDM Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu
2020	J	`jnl`	Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. CoRR Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu
2020	A*	`conf`	Multi-Channel Graph Neural Networks. IJCAI Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2020	A*	`conf`	Policy-GNN: Aggregation Optimization for Graph Neural Networks. KDD Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu
2020	J	`jnl`	Policy-GNN: Aggregation Optimization for Graph Neural Networks. CoRR Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu
2020	—	`conf`	PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. WWW (Companion Volume) Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
2020	J	`jnl`	PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. CoRR Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
2020	A*	`conf`	RLCard: A Platform for Reinforcement Learning in Card Games. IJCAI Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu
2020	J	`jnl`	TODS: An Automated Time Series Outlier Detection System. CoRR Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu
2020	A*	`conf`	Towards Deeper Graph Neural Networks with Differentiable Group Normalization. NeurIPS Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
2020	J	`jnl`	Towards Deeper Graph Neural Networks with Differentiable Group Normalization. CoRR Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu
2019	A*	`conf`	Experience Replay Optimization. IJCAI Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2019	J	`jnl`	Experience Replay Optimization. CoRR Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2019	J	`jnl`	Multi-Channel Graph Convolutional Networks. CoRR Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2019	J	`jnl`	Multi-label dataless text classification with topic modeling. Knowl. Inf. Syst. Daochen Zha, Chenliang Li
2019	J	`jnl`	PyODDS: An End-to-End Outlier Detection System. CoRR Yuening Li, Daochen Zha, Na Zou, Xia Hu
2019	J	`jnl`	RLCard: A Toolkit for Reinforcement Learning in Card Games. CoRR Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu
2017	C	`conf`	A Security-Enhanced vTPM 2.0 for Cloud Computing. ICICS Juan Wang, Feng Xiao, Jianwei Huang, Daochen Zha, Chengyang Fan, Wei Hu, Huanguo Zhang
2017	J	`jnl`	CHAOS: An SDN-Based Moving Target Defense System. Secur. Commun. Networks Yuan Shi, Huanguo Zhang, Juan Wang, Feng Xiao, Jianwei Huang, Daochen Zha, Hongxin Hu, Fei Yan, Bo Zhao
2017	J	`jnl`	CHAOS: an SDN-based Moving Target Defense System. CoRR Juan Wang, Feng Xiao, Jianwei Huang, Daochen Zha, Hongxin Hu, Huanguo Zhang
2017	J	`jnl`	Multi-label Dataless Text Classification with Topic Modeling. CoRR Daochen Zha, Chenliang Li
2015	J	`jnl`	Sound information seeking in Web 2.0 virtual communities: the moderating effect of mindfulness. Behav. Inf. Technol. Xianjin Zha, Jinchao Zhang, Yalan Yan, Daochen Zha
2015	J	`jnl`	Understanding information seeking in digital libraries: antecedents and consequences. Aslib J. Inf. Manag. Xianjin Zha, Wentao Wang, Yalan Yan, Jinchao Zhang, Daochen Zha