Zha, Daochen

25 publications

ICLR 2025 MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations Shaochen 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

NeurIPS 2024 Cost-Efficient Knowledge-Based Question Answering with Large Language Models Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang

IJCAI 2024 Denoising-Aware Contrastive Learning for Noisy Time Series Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung

MLJ 2024 Dynamic Datasets and Market Environments for Financial Reinforcement Learning Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo

IJCAI 2024 Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method Qian Luo, Tien Ping Tan, Daochen Zha, Tianqiao Zhang

NeurIPS 2024 KnowGPT: Knowledge Graph Based Prompting for Large Language Models Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang

NeurIPSW 2023 Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu

NeurIPSW 2023 FinGPT: Democratizing Internet-Scale Data for Financial Large Language Models Xiao-Yang Liu, Guoxuan Wang, Hongyang Yang, Daochen Zha

NeurIPS 2023 One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning Shaochen Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu

NeurIPS 2023 OpenGSL: A Comprehensive Benchmark for Graph Structure Learning Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang

ICML 2023 RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu, Chen Shengyuan, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu

ICML 2023 SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems Aaron M Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian

ICMLW 2023 SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems Aaron M Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian

NeurIPS 2023 Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu

IJCAI 2022 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

NeurIPS 2022 DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu

NeurIPS 2021 Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

ICML 2021 DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu

ICLR 2021 Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu

AAAI 2021 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

IJCAI 2020 Dual Policy Distillation Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu

IJCAI 2020 Multi-Channel Graph Neural Networks Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu

IJCAI 2020 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

NeurIPS 2020 Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu

IJCAI 2019 Experience Replay Optimization Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu