Ding Zhao

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 275

Top Venues

CoRR

ITSC

IEEE Trans. Intell. Transp. Syst.

ICRA

Publications

Haohong Lin, Radu Corcodel, Ding Zhao
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly. ICRA (2024)
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. ICLR (2024)
Ye Li, Hanjiang Hu, Zuxin Liu, Xiaohao Xu, Xiaonan Huang, Ding Zhao
Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving. ICRA (2024)
Fan Yang, Wenxuan Zhou, Zuxin Liu, Ding Zhao, David Held
Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization. ICRA (2024)
Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao
Learning from Sparse Offline Datasets via Conservative Density Estimation. ICLR (2024)
Ding Zhao, Ibrahim Pehlivan, Aditya Wadaskar, Danijela Cabric
Fast Frequency-Direction Mapping Design for Data Communication With True-Time-Delay Array Architecture. ICNC (2024)
Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. CoRR (2024)
Rujun Zhou, Lei Zhang, Yunlian Ding, Si Luo, Qiang Ling, Yao Chen, Yusheng Zhang, Yan Zhou, Ali Akhtar, Ding Zhao, Min Qiu, Daru Chen
Lab-on-Fiber Fabry-Perot Interferometer Integrated With Functionalized Polymer for Carbon Dioxide Sensing. IEEE Trans. Instrum. Meas. 73 (2024)
Xingyu Liu, Deepak Pathak, Ding Zhao
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer. CoRR (2024)
Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao
Gradient shaping for multi-constraint safe reinforcement learning. L4DC (2024)
Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao
Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving. IEEE Robotics Autom. Lett. 9 (5) (2024)
Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao
Feasibility Consistent Representation Learning for Safe Reinforcement Learning. CoRR (2024)
Xingyu Liu, Deepak Pathak, Ding Zhao
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer. ICLR (2024)
Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao
COMPOSER: Scalable and Robust Modular Policies for Snake Robots. ICRA (2024)
Pragna Mannam, Xingyu Liu, Ding Zhao, Jean Oh, Nancy S. Pollard
Design and Control Co-Optimization for Automated Design Iteration of Dexterous Anthropomorphic Soft Robotic Hands. RoboSoft (2024)
Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao
LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. CoRR (2024)
Miao Li, Wenhao Ding, Ding Zhao
Privacy Risks in Reinforcement Learning for Household Robots. ICRA (2024)
David Dalrymple, Joar Skalse, Yoshua Bengio, Stuart Russell, Max Tegmark, Sanjit Seshia, Steve Omohundro, Christian Szegedy, Ben Goldhaber, Nora Ammann, Alessandro Abate, Joe Halpern, Clark W. Barrett, Ding Zhao, Tan Zhi-Xuan, Jeannette Wing, Joshua B. Tenenbaum
Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems. CoRR (2024)
Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, Ding Zhao
Learning from Sparse Offline Datasets via Conservative Density Estimation. CoRR (2024)
Peide Huang, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao
CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories. CoRR (2024)
Pragna Mannam, Xingyu Liu, Ding Zhao, Jean Oh, Nancy S. Pollard
Design and Control Co-Optimization for Automated Design Iteration of Dexterous Anthropomorphic Soft Robotic Hands. 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)
Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations. AISTATS (2024)
Jielin Qiu, Mengdi Xu, William Han, Seungwhan Moon, Ding Zhao
Embodied Executable Policy Learning with Language-based Scene Summarization. NAACL-HLT (2024)
Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. CoRR (2024)
Haohong Lin, Radu Corcodel, Ding Zhao
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly. 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)
Aditya Wadaskar, Ding Zhao, Ibrahim Pehlivan, Danijela Cabric
Structured Two-Stage True-Time-Delay Array Code book Design for Multi - User Data Communication. GLOBECOM (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ding Zhao