Andrew Zhao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Quadratic Program

Machine Learning

Orthogonal Matrices

Top Venues

Publications

Huanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang
Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing. CoRR (2024)
Andrew Zhao, Andrea Fratila, Yang Zhang, Zhenduo Zhai, Zhiguang Liu, Yi Shang
Automatic Waterfowl and Habitat Detection using Drone Imagery and Deep Learning. ICCE (2024)
Jenny Sheng, Matthieu Lin, Andrew Zhao, Kevin Pruvost, Yu-Hui Wen, Yangguang Li, Gao Huang, Yong-Jin Liu
Exploring Text-to-Motion Generation with Human Preference. CoRR (2024)
Yiqiao Jin, Andrew Zhao, Yeon-Chang Lee, Meng Ye, Ajay Divakaran, Srijan Kumar
Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories. CoRR (2024)
Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen, Qisen Yang, Andrew Zhao, Chaofei Wang, Shiji Song, Gao Huang
Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling. ACL (Findings) (2024)
Matthieu Lin, Jenny Sheng, Yubin Hu, Yangguang Li, Lu Qi, Andrew Zhao, Gao Huang, Yong-Jin Liu
Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation. AAAI (2024)
Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang
ExpeL: LLM Agents Are Experiential Learners. AAAI (2024)
Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang
DiveR-CT: Diversity-enhanced Red Teaming with Relaxing Constraints. CoRR (2024)
Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang
Augmenting Unsupervised Reinforcement Learning with Self-Reference. CoRR (2023)
Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang
ExpeL: LLM Agents Are Experiential Learners. CoRR (2023)
Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen, Qisen Yang, Andrew Zhao, Chaofei Wang, Shiji Song, Gao Huang
Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation. CoRR (2023)
Andrew Zhao, Nicholas C. Rubin
Quantum relaxation for quadratic programs over orthogonal matrices. CoRR (2023)
Haoxian Chen, Chenyuan Wu, Andrew Zhao, Mukund Raghothaman, Mayur Naik, Boon Thau Loo
Synthesizing Formal Network Specifications From Input-Output Examples. IEEE/ACM Trans. Netw. 31 (3) (2023)
Andrew Zhao
Learning, Optimizing, and Simulating Fermions with Quantum Computers. CoRR (2023)
Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang
A Mixture Of Surprises for Unsupervised Reinforcement Learning. NeurIPS (2022)
Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang
A Mixture of Surprises for Unsupervised Reinforcement Learning. CoRR (2022)
Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang
Provable General Function Class Representation Learning in Multitask Bandits and MDPs. CoRR (2022)
Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang
Provable General Function Class Representation Learning in Multitask Bandits and MDP. NeurIPS (2022)
Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong
Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos. CoRR (2021)
Sloan Swieso, Powen Yao, Mark Miller, Adityan Jothi, Andrew Zhao, Michael Zyda
Toward Using Machine Learning-Based Motion Gesture for 3D Text Input. SUI (2021)
Adityan Jothi, Powen Yao, Andrew Zhao, Mark Miller, Sloan Swieso, Michael Zyda
Toward Predicting User Waist Location From VR Headset and Controllers Through Machine Learning. SUI (2021)
Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong
DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos. IROS (2021)
Nik Sultana, Saket, Andrew Zhao, Shubhendra Pal Singhal, Michael Kaplan, Rajesh Krishnan, Boon Thau Loo
IPC evolution thru declarative interface generation. DAI-SNAC@CoNEXT (2021)
Mark Miller, Powen Yao, Adityan Jothi, Andrew Zhao, Sloan Swieso, Michael Zyda
Virtual Equipment System: Toward Peripersonal Equipment Slots with Machine Learning. SUI (2021)
Isha Agarwal, Matvey Borodin, Aidan Duncan, Kaylee Ji, Tanya Khovanova, Shane Lee, Boyan Litchev, Anshul Rastogi, Garima Rastogi, Andrew Zhao
The No-Flippancy Game. CoRR (2020)
Andrew Zhao, Denis Tsygankov, Peng Qiu
Graph-based extraction of shape features for leaf classification. GlobalSIP (2017)
Jeong-Joon Park, Ronnel Boettcher, Andrew Zhao, Alex Mun, Kevin Yuh, Vibhor Kumar, Matilde Marcolli
Prevalence and Recoverability of Syntactic Parameters in Sparse Distributed Memories. GSI (2017)
Jong Seok Park, Moez Karim Aziz, Taiyun Chi, Amy Su, Andrew Zhao, Hee Cheol Cho, Mark P. Styczynski, Hua Wang
Live demonstration: A 1024-pixel CMOS multi-modality sensing array for cell-based assays. IEEE SENSORS (2016)
Jeong-Joon Park, Ronnel Boettcher, Andrew Zhao, Alex Mun, Kevin Yuh, Vibhor Kumar, Matilde Marcolli
Prevalence and recoverability of syntactic parameters in sparse distributed memories. CoRR (2015)