Harry Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 49

Top Venues

Publications

David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone
Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. CoRR (2024)
Harry Zhang, Stefan Caldararu, Aaron Young, Alexis Ruiz, Huzaifa Mustafa Unjhawala, Ishaan Mahajan, Sriram Ashokkumar, Nevindu Batagoda, Zhenhao Zhou, Luning Bakke, Dan Negrut
A Study on the Use of Simulation in Synthesizing Path-Following Control Policies for Autonomous Ground Robots. CoRR (2024)
Sitian Shen, Zilin Zhu, Linqian Fan, Harry Zhang, Xinxiao Wu
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification. WACV (2024)
Xuxin Cheng, Heng Yu, Harry Zhang, Wenxing Deng
WeightedPose: Generalizable Cross-Pose Estimation via Weighted SVD. CoRR (2024)
David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone
Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. ICRA (2024)
Ellen Z. Zhang, Yunguo Guan, Rongxing Lu, Harry Zhang
An Efficient Heap Tree-Based Range Query Scheme Under Local Differential Privacy. IEEE Internet Things J. 11 (11) (2024)
Harry Zhang, Luca Carlone
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators. CoRR (2024)
Jonathan Wang, Huang Huang, Vincent Lim, Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Yunliang Chen, Ken Goldberg
Self-Supervised Learning of Dynamic Planar Manipulation of Free-End Cables. CoRR (2024)
Harry Zhang
Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions. CoRR (2024)
Priya Sundaresan, Aditya Ganapathi, Harry Zhang, Shivin Devgon
Learning Correspondence for Deformable Objects. CoRR (2024)
Carl Qi, Edward Sun, Harry Zhang
Towards Improving Learning from Demonstration Algorithms via MCMC Methods. CoRR (2024)
Hyun Jin Park, Dhruuv Agarwal, Neng Chen, Rentao Sun, Kurt Partridge, Justin Chen, Harry Zhang, Pai Zhu, Jacob Bartel, Kyle Kastner, Gary Wang, Andrew Rosenberg, Quan Wang
Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model. CoRR (2024)
Sangli Teng, Harry Zhang, David Jin, Ashkan Jasour, Maani Ghaffari, Luca Carlone
GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise. CoRR (2024)
Ishaan Mahajan, Huzaifa Mustafa Unjhawala, Harry Zhang, Zhenhao Zhou, Aaron Young, Alexis Ruiz, Stefan Caldararu, Nevindu Batagoda, Sriram Ashokkumar, Dan Negrut
Quantifying the Sim2real Gap for GPS and IMU Sensors. CoRR (2024)
Bo-Hsun Chen, Peter Negrut, Thomas Liang, Nevindu Batagoda, Harry Zhang, Dan Negrut
POLAR3D: Augmenting NASA's POLAR Dataset for Data-Driven Lunar Perception and Rover Simulation. CoRR (2023)
Ellen Z. Zhang, Yunguo Guan, Rongxing Lu, Harry Zhang
An Efficient Bloom Filter-based Range Query Scheme Under Local Differential Privacy. PIMRC (2023)
Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated Learning. ASRU (2023)
Harry Zhang, Stefan Caldararu, Sriram Ashokkumar, Ishaan Mahajan, Aaron Young, Alexis Ruiz, Huzaifa Mustafa Unjhawala, Luning Bakke, Dan Negrut
Zero-Shot Policy Transferability for the Control of a Scale Autonomous Vehicle. CoRR (2023)
Harry Zhang, Ben Eisner, David Held
FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection. CoRR (2023)
Ellen Z. Zhang, Yunguo Guan, Rongxing Lu, Harry Zhang
ERQ: An Efficient Range Query Scheme Under Local Differential Privacy. GLOBECOM (2023)
Sitian Shen, Zilin Zhu, Linqian Fan, Harry Zhang, Xinxiao Wu
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification. CoRR (2023)
Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning. CoRR (2023)
Yupu Yao, Shangqi Deng, Zihan Cao, Harry Zhang, Liang-Jian Deng
APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency. CoRR (2023)
Harry Zhang, Ben Eisner, David Held
FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection. CoRL (2023)
Harry Zhang, Stefan Caldararu, Ishaan Mahajan, Shouvik Chatterjee, Thomas Hansen, Abhiraj Dashora, Sriram Ashokkumar, Luning Fang, Xiangru Xu, Shen He, Dan Negrut
Using simulation to design an MPC policy for field navigation using GPS sensing. CoRR (2023)
Ellen Z. Zhang, Yunguo Guan, Songnian Zhang, Rongxing Lu, Harry Zhang
An Efficient and Privacy-Preserving Outsourced Heavy Hitter Query Scheme with LDP Technique. ICCC (2023)
Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta
Enabling On-Device Training of Speech Recognition Models With Federated Dropout. ICASSP (2022)
Chuer Pan, Brian Okorn, Harry Zhang, Ben Eisner, David Held
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation. CoRL (2022)
Chuer Pan, Brian Okorn, Harry Zhang, Ben Eisner, David Held
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation. CoRR (2022)
Ben Eisner, Harry Zhang, David Held
FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects. CoRR (2022)
Evanthia Dimara, Harry Zhang, Melanie Tory, Steven Franconeri
The Unmet Data Visualization Needs of Decision Makers Within Organizations. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
Ben Eisner, Harry Zhang, David Held
FlowBot3D: Learning 3D Articulation Flow to Manipulate Articulated Objects. Robotics: Science and Systems (2022)
Asher Elmquist, Aaron Young, Thomas Hansen, Sriram Ashokkumar, Stefan Caldararu, Abhiraj Dashora, Ishaan Mahajan, Harry Zhang, Luning Fang, He Shen, Xiangru Xu, Radu Serban, Dan Negrut
ART/ATK: A research platform for assessing and mitigating the sim-to-real gap in robotics and autonomous vehicle engineering. CoRR (2022)
Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Jonathan Wang, Huang Huang, Ken Goldberg
Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables. ICRA (2021)
Shivin Devgon, Jeffrey Ichnowski, Ashwin Balakrishna, Harry Zhang, Ken Goldberg
Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms. CoRR (2021)
Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta
Enabling On-Device Training of Speech Recognition Models with Federated Dropout. CoRR (2021)
Yahav Avigal, Vishal Satish, Zachary Tam, Huang Huang, Harry Zhang, Michael Danielczuk, Jeffrey Ichnowski, Ken Goldberg
AVPLUG: Approach Vector PLanning for Unicontact Grasping amid Clutter. CASE (2021)
Shivin Devgon, Jeffrey Ichnowski, Ashwin Balakrishna, Harry Zhang, Ken Goldberg
Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms. CASE (2020)
Yahav Avigal, Samuel Paradis, Harry Zhang
6-DoF Grasp Planning using Fast 3D Reconstruction and Grasp Quality CNN. CoRR (2020)
Harry Zhang, Jeffrey Ichnowski, Yahav Avigal, Joseph Gonzales, Ion Stoica, Ken Goldberg
Dex-Net AR: Distributed Deep Grasp Planning Using a Commodity Cellphone and Augmented Reality App. ICRA (2020)
Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Jonathan Wang, Ken Goldberg
Robots of the Lost Arc: Learning to Dynamically Manipulate Fixed-Endpoint Ropes and Cables. CoRR (2020)
Khe Chai Sim, Leif Johnson, Giovanni Motta, Lillian Zhou, Françoise Beaufays, Arnaud Benard, Dhruv Guliani, Andreas Kabel, Nikhil Khare, Tamar Lucassen, Petr Zadrazil, Harry Zhang
Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities. ASRU (2019)
Khe Chai Sim, Françoise Beaufays, Arnaud Benard, Dhruv Guliani, Andreas Kabel, Nikhil Khare, Tamar Lucassen, Petr Zadrazil, Harry Zhang, Leif Johnson, Giovanni Motta, Lillian Zhou
Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entities. CoRR (2019)
Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
Ensemble Transfer Learning Algorithm. IEEE Access 6 (2018)
Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
A weighted-resampling based transfer learning algorithm. IJCNN (2017)
Yong Jin, Harry Zhang, Donglei Du
Incorporating Positional Information into Deep Belief Networks for Sentiment Classification. ICDM (2017)
Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
Bagging based ensemble transfer learning. J. Ambient Intell. Humaniz. Comput. 7 (1) (2016)
Yong Jin, Harry Zhang, Donglei Du
Improving Deep Belief Networks via Delta Rule for Sentiment Classification. ICTAI (2016)
Yong Jin, Donglei Du, Harry Zhang
Gaussian Neuron in Deep Belief Network for Sentiment Prediction. Canadian Conference on AI (2016)
Xiaobo Liu, Guangjun Wang, Zhihua Cai, Harry Zhang
A MultiBoosting Based Transfer Learning Algorithm. J. Adv. Comput. Intell. Intell. Informatics 19 (3) (2015)
Liangxiao Jiang, Chaoqun Li, Harry Zhang, Zhihua Cai
A Novel Distance Function: frequency difference Metric. Int. J. Pattern Recognit. Artif. Intell. 28 (2) (2014)
Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang
Bayesian Citation-KNN with distance weighting. Int. J. Mach. Learn. Cybern. 5 (2) (2014)
Liangxiao Jiang, Chaoqun Li, Zhihua Cai, Harry Zhang
Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning. ICTAI (2013)
Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang
Naive Bayes text classifiers: a locally weighted learning approach. J. Exp. Theor. Artif. Intell. 25 (2) (2013)
Yuanyuan Guo, Harry Zhang, Bruce Spencer
Cost-Sensitive Self-Training. Canadian Conference on AI (2012)
Liangxiao Jiang, Zhihua Cai, Dianhong Wang, Harry Zhang
Improving Tree augmented Naive Bayes for class probability estimation. Knowl. Based Syst. 26 (2012)
Liangxiao Jiang, Zhihua Cai, Harry Zhang, Dianhong Wang
Not so greedy: Randomly Selected Naive Bayes. Expert Syst. Appl. 39 (12) (2012)
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Dianhong Wang
Weighted average of one-dependence estimators†. J. Exp. Theor. Artif. Intell. 24 (2) (2012)
Xiaobo Liu, Harry Zhang, Zhihua Cai, Guangjun Wang
A Tri-training Based Transfer Learning Algorithm. ICTAI (2012)
Bin Wang, Harry Zhang, Bruce Spencer, Yuanyuan Guo
The Unsymmetrical-Style Co-training. PAKDD (1) (2011)
Yuanyuan Guo, Harry Zhang, Xiaobo Liu
Instance Selection in Semi-supervised Learning. Canadian Conference on AI (2011)
Zhihua Cai, Wenyin Gong, Charles X. Ling, Harry Zhang
A clustering-based differential evolution for global optimization. Appl. Soft Comput. 11 (1) (2011)
Bin Wang, Harry Zhang
Semi-supervised Probability Propagation on Instance-Attribute Graphs. Canadian Conference on AI (2010)
Young Seok Lee, Santosh Basapur, Harry Zhang, Claudia V. S. Guerrero, Noel Massey
Usability evaluation of beep-to-the-box. Mobile HCI (2010)
Han Liang, Yuhong Yan, Harry Zhang
Learning Decision Trees with log Conditional Likelihood. Int. J. Pattern Recognit. Artif. Intell. 24 (1) (2010)
Joe Tullio, Elaine M. Huang, David Wheatley, Harry Zhang, Claudia V. S. Guerrero, Amruta Tamdoo
Experience, adjustment, and engagement: the role of video in law enforcement. CHI (2010)
Yuanyuan Guo, Xiaoda Niu, Harry Zhang
An Extensive Empirical Study on Semi-supervised Learning. ICDM (2010)
Liangxiao Jiang, Harry Zhang, Zhihua Cai
A Novel Bayes Model: Hidden Naive Bayes. IEEE Trans. Knowl. Data Eng. 21 (10) (2009)
Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin
Proper Model Selection with Significance Test. ECML/PKDD (1) (2008)
Bin Wang, Bruce Spencer, Charles X. Ling, Harry Zhang
Semi-supervised Self-training for Sentence Subjectivity Classification. Canadian Conference on AI (2008)
Harry Zhang, Jiang Su
Naive Bayes for optimal ranking. J. Exp. Theor. Artif. Intell. 20 (2) (2008)
Liangxiao Jiang, Dianhong Wang, Harry Zhang, Zhihua Cai, Bo Huang
Using Instance cloning to Improve Naive Bayes for Ranking. Int. J. Pattern Recognit. Artif. Intell. 22 (6) (2008)
Wanxia Wei, Chu Min Li, Harry Zhang
Switching among Non-Weighting, Clause Weighting, and Variable Weighting in Local Search for SAT. CP (2008)
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin
Discriminative parameter learning for Bayesian networks. ICML (2008)
Wanxia Wei, Chu Min Li, Harry Zhang
A Switching Criterion for Intensification and Diversification in Local Search for SAT. J. Satisf. Boolean Model. Comput. 4 (2-4) (2008)
Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai
Learning Locally Weighted C4.4 for Class Probability Estimation. Discovery Science (2007)
Keshu Zhang, Kari Torkkola, Haifeng Li, Christopher Schreiner, Harry Zhang, Robert Mike Gardner, Zheng Zhao
A Context Aware Automatic Traffic Notification System for Cell Phones. ICDCS Workshops (2007)
Harry Zhang, Christopher Schreiner, Keshu Zhang, Kari Torkkola
Naturalistic use of cell phones in driving and context-based user assistance. Mobile HCI (2007)
Chu Min Li, Wanxia Wei, Harry Zhang
Combining Adaptive Noise and Look-Ahead in Local Search for SAT. SAT (2007)
Bin Wang, Harry Zhang
Probability Based Metrics for Locally Weighted Naive Bayes. Canadian Conference on AI (2007)
Jiang Su, Harry Zhang
A Fast Decision Tree Learning Algorithm. AAAI (2006)
Liangxiao Jiang, Harry Zhang
Weightily Averaged One-Dependence Estimators. PRICAI (2006)
Bin Wang, Harry Zhang
Improving the Ranking Performance of Decision Trees. ECML (2006)
Harry Zhang, Matthew R. H. Smith, Gerald J. Witt
Identification of Real-Time Diagnostic Measures of Visual Distraction With an Automatic Eye-Tracking System. Hum. Factors 48 (4) (2006)
Liangxiao Jiang, Harry Zhang
Lazy Averaged One-Dependence Estimators. Canadian Conference on AI (2006)
Han Liang, Harry Zhang, Yuhong Yan
Decision Trees for Probability Estimation: An Empirical Study. ICTAI (2006)
Jiang Su, Harry Zhang
Full Bayesian network classifiers. ICML (2006)
Liangxiao Jiang, Harry Zhang, Zhihua Cai
Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted. FSKD (2006)
Liangxiao Jiang, Harry Zhang
Learning Naive Bayes for Probability Estimation by Feature Selection. Canadian Conference on AI (2006)
Jiang Su, Harry Zhang
Probabilistic Inference Trees for Classification and Ranking. Canadian Conference on AI (2006)
Harry Zhang, Jiang Su
Learning probabilistic decision trees for AUC. Pattern Recognit. Lett. 27 (8) (2006)
N. Edenborough, Riad I. Hammoud, A. Harbach, A. Ingold, Branislav Kisacanin, Phillip Malawey, T. Newman, G. Scharenbroch, S. Skiver, Matthew R. H. Smith, Andrew Wilhelm, Gerald J. Witt, E. Yoder, Harry Zhang
Driver State Monitor from DELPHI. CVPR (2) (2005)
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
One Dependence Augmented Naive Bayes. ADMA (2005)
Harry Zhang
Exploring Conditions For The Optimality Of Naïve Bayes. Int. J. Pattern Recognit. Artif. Intell. 19 (2) (2005)
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
Learning Tree Augmented Naive Bayes for Ranking. DASFAA (2005)
Jiang Su, Harry Zhang
Representing Conditional Independence Using Decision Trees. AAAI (2005)
Liangxiao Jiang, Harry Zhang, Jiang Su
Instance Cloning Local Naive Bayes. Canadian Conference on AI (2005)
Liangxiao Jiang, Harry Zhang
Learning Instance Greedily Cloning Naive Bayes for Ranking. ICDM (2005)
Liangxiao Jiang, Harry Zhang, Jiang Su
-Nearest Neighbor Naive Bayes for Ranking. ADMA (2005)
Harry Zhang, Liangxiao Jiang, Jiang Su
Hidden Naive Bayes. AAAI (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Harry Zhang