Ding Zhao

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 252

Top Venues

CoRR

ITSC

IEEE Trans. Intell. Transp. Syst.

NeurIPS

Publications

Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao
Learning from Sparse Offline Datasets via Conservative Density Estimation. CoRR (2024)
William Jongwon Han, Diana Gómez, Avi Alok, Chaojing Duan, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao
Interpretation of Intracardiac Electrograms Through Textual Representations. CoRR (2024)
Jiaxin Liu, Hong Wang, Zhong Cao, Wenhao Yu, Chengxiang Zhao, Ding Zhao, Diange Yang, Jun Li
Semantic Traffic Law Adaptive Decision-Making for Self-Driving Vehicles. IEEE Trans. Intell. Transp. Syst. 24 (12) (2023)
Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao
Interpolation for Robust Learning: Data Augmentation on Geodesics. CoRR (2023)
Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR (2023)
Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report. ML4H@NeurIPS (2023)
Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. CoRR (2023)
Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Peide Huang, Michael A. Rosenberg, Douglas Weber, Emerson Liu, Ding Zhao
Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation. ICASSP (2023)
Jielin Qiu, Mengdi Xu, William Han, Seungwhan Moon, Ding Zhao
Embodied Executable Policy Learning with Language-based Scene Summarization. CoRR (2023)
Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? EACL (Findings) (2023)
Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? CoRR (2023)
Fan Yang, Wenxuan Zhou, Zuxin Liu, Ding Zhao, David Held
Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization. CoRR (2023)
Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. IEEE Trans. Intell. Transp. Syst. 24 (7) (2023)
Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. CoRR (2023)
Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao
Continual Vision-based Reinforcement Learning with Group Symmetries. CoRL (2023)
Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao
COMPOSER: Scalable and Robust Modular Policies for Snake Robots. CoRR (2023)
Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. CoRR (2023)
Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. IROS (2023)
Ye Li, Hanjiang Hu, Zuxin Liu, Ding Zhao
Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving. CoRR (2023)
Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen
Learning to View: Decision Transformers for Active Object Detection. ICRA (2023)
Chengxiang Zhao, Wenhao Yu, Xiaohan Ma, Yuzhuang Zhao, Boqi Li, Weida Wang, Jia Hu, Hong Wang, Ding Zhao
Digitization of Traffic Laws: Methodologies and Usage for Monitoring Driving Compliance. ITSC (2023)
Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning. CoRR (2023)
Jielin Qiu, William Han, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao
Can Brain Signals Reveal Inner Alignment with Human Languages? EMNLP (Findings) (2023)
Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin
SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. ACL (Findings) (2023)
Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
Constrained Decision Transformer for Offline Safe Reinforcement Learning. CoRR (2023)
Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao, Shoham Sabach, Rasool Fakoor
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models. CoRR (2023)
Weiran Wang, Zelin Wu, Diamantino Caseiro, Tsendsuren Munkhdalai, Khe Chai Sim, Pat Rondon, Golan Pundak, Gan Song, Rohit Prabhavalkar, Zhong Meng, Ding Zhao, Tara N. Sainath, Pedro Moreno Mengibar
Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm. CoRR (2023)
Yikai Wang, Mengdi Xu, Guanya Shi, Ding Zhao
Guardians as You Fall: Active Mode Transition for Safe Falling. CoRR (2023)
Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. CoRR (2023)
Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. CoRR (2023)
Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao
On the Robustness of Safe Reinforcement Learning under Observational Perturbations. ICLR (2023)
Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. AISTATS (2023)
Jielin Qiu, Jiacheng Zhu, William Han, Aditesh Kumar, Karthik Mittal, Claire Jin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Bo Li, Ding Zhao, Lijuan Wang
MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos. CoRR (2023)
Steven M. Hernandez, Ding Zhao, Shaojin Ding, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He, Ian McGraw
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. CoRR (2023)
Wenhao Ding, Nathalie Majcherczyk, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnie Sen
Learning to View: Decision Transformers for Active Object Detection. CoRR (2023)
Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery. CoRL (2023)
Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
Constrained Decision Transformer for Offline Safe Reinforcement Learning. ICML (2023)
Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. ICML (2023)
Jielin Qiu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Ding Zhao, Hailin Jin
LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos. WACV (2023)
Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR (2023)
Jielin Qiu, Jiacheng Zhu, Shiqi Liu, William Han, Jingqi Zhang, Chaojing Duan, Michael A. Rosenberg, Emerson Liu, Douglas Weber, Ding Zhao
Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding. CoRR (2023)
Miao Li, Wenhao Ding, Ding Zhao
Your Room is not Private: Gradient Inversion Attack for Deep Q-Learning. CoRR (2023)
Makiya Nakashima, Donna Salem, HW Wilson Tang, Christopher Nguyen, Tae-Hyun Hwang, Ding Zhao, Byung-Hak Kim, Deborah Kwon, David Chen
Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision. MLHC (2023)
Mengdi Xu, Peide Huang, Wenhao Yu, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao
Creative Robot Tool Use with Large Language Models. CoRR (2023)
Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Yihang Yao, Hanjiang Hu, Ding Zhao
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data. ICML (2023)
Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Steven Z. Wu
Learning Shared Safety Constraints from Multi-task Demonstrations. NeurIPS (2023)
Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. CoRR (2023)
Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving. CoRR (2023)
Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics. ICML (2023)
Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. NeurIPS (2023)
Steven M. Hernandez, Ding Zhao, Shaojin Ding, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He, Ian McGraw
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. ICASSP (2023)
Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan
Hyper-Decision Transformer for Efficient Online Policy Adaptation. ICLR (2023)
Hanjiang Hu, Baoquan Yang, Zhijian Qiao, Shiqi Liu, Jiacheng Zhu, Zuxin Liu, Wenhao Ding, Ding Zhao, Hesheng Wang
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments. IROS (2023)
Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. NeurIPS (2023)
Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan
Hyper-Decision Transformer for Efficient Online Policy Adaptation. CoRR (2023)
Konwoo Kim, Gokul Swamy, Zuxin Liu, Ding Zhao, Sanjiban Choudhury, Zhiwei Steven Wu
Learning Shared Safety Constraints from Multi-task Demonstrations. CoRR (2023)
Weiran Wang, Ding Zhao, Shaojin Ding, Hao Zhang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Yanzhang He, Ian McGraw, Shankar Kumar
Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. ICASSP (2023)
Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. CoRR (2023)
Jielin Qiu, Peide Huang, Makiya Nakashima, Jaehyun Lee, Jiacheng Zhu, W. H. Wilson Tang, Pohao Chen, Christopher Nguyen, Byung-Hak Kim, Debbie Kwon, Douglas Weber, Ding Zhao, David Chen
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging. CoRR (2023)
Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. MLHC (2022)
Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan
Prompting Decision Transformer for Few-Shot Policy Generalization. CoRR (2022)
Jielin Qiu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Ding Zhao, Hailin Jin
LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos. CoRR (2022)
Yuanlu Bai, Zhiyuan Huang, Henry Lam, Ding Zhao
Rare-event Simulation for Neural Network and Random Forest Predictors. ACM Trans. Model. Comput. Simul. 32 (3) (2022)
Jielin Qiu, Yi Zhu, Xingjian Shi, Florian Wenzel, Zhiqiang Tang, Ding Zhao, Bo Li, Mu Li
Are Multimodal Models Robust to Image and Text Perturbations? CoRR (2022)
Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. CoRR (2022)
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. CoRR (2022)
Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRR (2022)
Mansur Arief, Zhepeng Cen, Zhenyuan Liu, Zhiyuan Huang, Bo Li, Henry Lam, Ding Zhao
Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS). ITSC (2022)
Wenshuo Wang, Weiyang Zhang, Jiacheng Zhu, Ding Zhao
Understanding V2V Driving Scenarios Through Traffic Primitives. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Franck Dernoncourt, Trung Bui, Zhaowen Wang, Bo Li, Ding Zhao, Hailin Jin
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment. CoRR (2022)
William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram. CoRR (2022)
Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. ICLR (2022)
Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao
Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. IROS (2022)
Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
Robustness Certification of Visual Perception Models via Camera Motion Smoothing. CoRL (2022)
Fan Wu, Linyi Li, Chejian Xu, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks. CoRR (2022)
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning. NeurIPS (2022)
Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev, Wei Liu, Steven Wu, Bo Li, Ding Zhao
Constrained Variational Policy Optimization for Safe Reinforcement Learning. ICML (2022)
Wenhao Yu, Chengxiang Zhao, Jiaxin Liu, Yingkai Yang, Xiaohan Ma, Jun Li, Weida Wang, Hong Wang, Ding Zhao
Digitization of Chinese Traffic Laws: Methodologies, Quantative Analysis, and Usage for Monitoring Driving Compliance. CoRR (2022)
Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. CoRR (2022)
Mansur Arief, Zhepeng Cen, Zhenyuan Liu, Zhiyuan Huang, Henry Lam, Bo Li, Ding Zhao
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling. CoRR (2022)
Shiqi Liu, Mengdi Xu, Peide Huang, Yongkang Liu, Kentaro Oguchi, Ding Zhao
Continual Reinforcement Learning with Group Symmetries. CoRR (2022)
Zhao Zhang, Ding Zhao, Xianfeng Terry Yang
A Hybrid Physics Machine Learning Approach for Macroscopic Traffic State Estimation. CoRR (2022)
Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. CoRR (2022)
Xianxin Song, Ding Zhao, Haocheng Hua, Tony Xiao Han, Xun Yang, Jie Xu
Joint Transmit and Reflective Beamforming for IRS-Assisted Integrated Sensing and Communication. WCNC (2022)
Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training. IJCAI (2022)
Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao
On the Robustness of Safe Reinforcement Learning under Observational Perturbations. CoRR (2022)
Ding Zhao, Zhan Zhang, Bin Yu, Yuehai Wang
Improve Speech Enhancement using Perception-High-Related Time-Frequency Loss. INTERSPEECH (2022)
Hongbo Gao, Ming Liu, Fei Chen, Xiaoxiang Na, Ding Zhao, Jingtao Wang, Linghe Kong, Keqiang Li, Chun-Yi Sun
Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications. IEEE Trans Autom. Sci. Eng. 19 (4) (2022)
Wenhao Ding, Chejian Xu, Mansur Arief, Haohong Lin, Bo Li, Ding Zhao
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective. CoRR (2022)
Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. CHIL (2022)
Jiaxin Liu, Wenhui Zhou, Hong Wang, Zhong Cao, Wenhao Yu, Chengxiang Zhao, Ding Zhao, Diange Yang, Jun Li
Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles. CoRR (2022)
Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. CoRR (2022)
Jielin Qiu, Jiacheng Zhu, Michael Rosenberg, Emerson Liu, Ding Zhao
Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction. CoRR (2022)
Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. CoRR (2022)
Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. NeurIPS (2022)
Diana Gómez, Haohong Lin, Peide Huang, Corey Harper, Ding Zhao
Coalitional Fairness of Autonomous Vehicles at a T-Intersection. ITSC (2022)
Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. CoRR (2022)
Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan
Prompting Decision Transformer for Few-Shot Policy Generalization. ICML (2022)
Wenhao Ding, Haohong Lin, Bo Li, Ding Zhao
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation. CoRL (2022)
Mengdi Xu, Zuxin Liu, Peide Huang, Wenhao Ding, Zhepeng Cen, Bo Li, Ding Zhao
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ding Zhao