Andrew Zhao - RankMe

51 papers A* 6A 1C 1Journal 32Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers. EACL (Volume 1: Long Papers) Andrew Zhao, Reshmi Ghosh, Vitor Carvalho, Emily Lawton, Keegan Hines, Gao Huang, Jack W. Stokes
2026	J	`jnl`	Goedel-Code-Prover: Hierarchical Proof Search for Open State-of-the-Art Code Verification. CoRR Zenan Li, Ziran Yang, Deyuan He, Haoyu Zhao, Andrew Zhao, Shange Tang, Kaiyu Yang, Aarti Gupta, Zhendong Su, Chi Jin
2026	J	`jnl`	Learning fermionic linear optics with Heisenberg scaling and physical operations. CoRR Aria Christensen, Andrew Zhao
2025	J	`jnl`	Absolute Zero: Reinforced Self-play Reasoning with Zero Data. CoRR Andrew Zhao, Yiran Wu, Yang Yue, Tong Wu, Quentin Xu, Matthieu Lin, Shenzhi Wang, Qingyun Wu, Zilong Zheng, Gao Huang
2025	J	`jnl`	Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers. CoRR Andrew Zhao, Reshmi Ghosh, Vitor Carvalho, Emily Lawton, Keegan Hines, Gao Huang, Jack W. Stokes
2025	J	`jnl`	Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning. CoRR Shenzhi Wang, Le Yu, Chang Gao, Chujie Zheng, Shixuan Liu, Rui Lu, Kai Dang, Xionghui Chen, Jianxin Yang, Zhenru Zhang, Yuqiong Liu, An Yang, Andrew Zhao, Yang Yue, Shiji Song, Bowen Yu, Gao Huang, Junyang Lin
2025	J	`jnl`	Corrigendum to "Self-Referencing agents for unsupervised reinforcement learning" [Neural Networks Volume 188, August 2025, 107448]. Neural Networks Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2025	A*	`conf`	DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints. AAAI Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang
2025	J	`jnl`	Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? CoRR Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Shiji Song, Gao Huang
2025	J	`jnl`	Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception. CoRR Yulin Wang, Yang Yue, Huanqian Wang, Haojun Jiang, Yizeng Han, Zanlin Ni, Yifan Pu, Minglei Shi, Rui Lu, Qisen Yang, Andrew Zhao, Zhuofan Xia, Shiji Song, Gao Huang
2025	J	`jnl`	ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation. CoRR Yiran Wu, Mauricio Velazco, Andrew Zhao, Manuel Raúl Meléndez Luján, Srisuma Movva, Yogesh K. Roy, Quang Nguyen, Roberto Rodriguez, Qingyun Wu, Michael Albada, Julia Kiseleva, Anand Mudgerikar
2025	J	`jnl`	Fara-7B: An Efficient Agentic Model for Computer Use. CoRR Ahmed Awadallah, Yash Lara, Raghav Magazine, Hussein Mozannar, Akshay Nambi, Yash Pandya, Aravind Rajeswaran, Corby Rosset, Alexey Taymanov, Vibhav Vineet, Spencer Whitehead, Andrew Zhao
2025	A*	`conf`	Learning the Structure of Any Hamiltonian from Minimal Assumptions. STOC Andrew Zhao
2025	—	`conf`	Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing. NAACL (Long Papers) Huanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang
2025	J	`jnl`	MorphEUS: Morphable Omnidirectional Unmanned System. CoRR Ivan Bao, José C. Díaz Peón González Pacheco, Atharva Navsalkar, Andrew Scheffer, Sashreek Shankar, Andrew Zhao, Hongyu Zhou, Vasileios Tzoumas
2025	J	`jnl`	Self-Referencing Agents for Unsupervised Reinforcement Learning. Neural Networks Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2025	J	`jnl`	Towards Understanding the Benefit of Multitask Representation Learning in Decision Process. CoRR Rui Lu, Yang Yue, Andrew Zhao, Simon S. Du, Gao Huang
2024	C	`conf`	Automatic Waterfowl and Habitat Detection using Drone Imagery and Deep Learning. ICCE Andrew Zhao, Andrea Fratila, Yang Zhang, Zhenduo Zhai, Zhiguang Liu, Yi Shang
2024	—	`conf`	Boosting LLM Agents with Recursive Contemplation for Effective Deception Handling. ACL (Findings) Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen, Qisen Yang, Andrew Zhao, Chaofei Wang, Shiji Song, Gao Huang
2024	J	`jnl`	DiveR-CT: Diversity-enhanced Red Teaming with Relaxing Constraints. CoRR Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang
2024	J	`jnl`	Empowering Interdisciplinary Insights with Dynamic Graph Embedding Trajectories. CoRR Yiqiao Jin, Andrew Zhao, Yeon-Chang Lee, Meng Ye, Ajay Divakaran, Srijan Kumar
2024	J	`jnl`	Expanding the reach of quantum optimization with fermionic embeddings. Quantum Andrew Zhao, Nicholas C. Rubin
2024	A*	`conf`	ExpeL: LLM Agents Are Experiential Learners. AAAI Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2024	A*	`conf`	Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation. AAAI Matthieu Lin, Jenny Sheng, Yubin Hu, Yangguang Li, Lu Qi, Andrew Zhao, Gao Huang, Yong-Jin Liu
2024	—	`conf`	Exploring Text-to-Motion Generation with Human Preference. CVPR Workshops Jenny Sheng, Matthieu Lin, Andrew Zhao, Kevin Pruvost, Yu-Hui Wen, Yangguang Li, Gao Huang, Yong-Jin Liu
2024	J	`jnl`	Exploring Text-to-Motion Generation with Human Preference. CoRR Jenny Sheng, Matthieu Lin, Andrew Zhao, Kevin Pruvost, Yu-Hui Wen, Yangguang Li, Gao Huang, Yong-Jin Liu
2024	J	`jnl`	LLM-based Optimization of Compound AI Systems: A Survey. CoRR Matthieu Lin, Jenny Sheng, Andrew Zhao, Shenzhi Wang, Yang Yue, Yiran Wu, Huan Liu, Jun Liu, Gao Huang, Yong-Jin Liu
2024	J	`jnl`	Learning the structure of any Hamiltonian from minimal assumptions. CoRR Andrew Zhao
2024	J	`jnl`	Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing. CoRR Huanqian Wang, Yang Yue, Rui Lu, Jingxin Shi, Andrew Zhao, Shenzhi Wang, Shiji Song, Gao Huang
2024	J	`jnl`	Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models. CoRR Luhang Sun, Varsha Pendyala, Yun-Shiuan Chuang, Shanglin Yang, Jonathan Feldman, Andrew Zhao, Munmun De Choudhury, Sijia Yang, Dhavan Shah
2023	J	`jnl`	Augmenting Unsupervised Reinforcement Learning with Self-Reference. CoRR Andrew Zhao, Erle Zhu, Rui Lu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2023	J	`jnl`	Avalon's Game of Thoughts: Battle Against Deception through Recursive Contemplation. CoRR Shenzhi Wang, Chang Liu, Zilong Zheng, Siyuan Qi, Shuo Chen, Qisen Yang, Andrew Zhao, Chaofei Wang, Shiji Song, Gao Huang
2023	J	`jnl`	ExpeL: LLM Agents Are Experiential Learners. CoRR Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang
2023	J	`jnl`	Learning, Optimizing, and Simulating Fermions with Quantum Computers. CoRR Andrew Zhao
2023	J	`jnl`	Quantum relaxation for quadratic programs over orthogonal matrices. CoRR Andrew Zhao, Nicholas C. Rubin
2023	J	`jnl`	Synthesizing Formal Network Specifications From Input-Output Examples. IEEE/ACM Trans. Netw. Haoxian Chen, Chenyuan Wu, Andrew Zhao, Mukund Raghothaman, Mayur Naik, Boon Thau Loo
2022	A*	`conf`	A Mixture Of Surprises for Unsupervised Reinforcement Learning. NeurIPS Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang
2022	J	`jnl`	A Mixture of Surprises for Unsupervised Reinforcement Learning. CoRR Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang
2022	A*	`conf`	Provable General Function Class Representation Learning in Multitask Bandits and MDP. NeurIPS Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang
2022	J	`jnl`	Provable General Function Class Representation Learning in Multitask Bandits and MDPs. CoRR Rui Lu, Andrew Zhao, Simon S. Du, Gao Huang
2021	A	`conf`	DMotion: Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos. IROS Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong
2021	—	`conf`	IPC evolution thru declarative interface generation. DAI-SNAC@CoNEXT Nik Sultana, Saket, Andrew Zhao, Shubhendra Pal Singhal, Michael Kaplan, Rajesh Krishnan, Boon Thau Loo
2021	J	`jnl`	Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos. CoRR Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong
2021	—	`conf`	Toward Predicting User Waist Location From VR Headset and Controllers Through Machine Learning. SUI Adityan Jothi, Powen Yao, Andrew Zhao, Mark Miller, Sloan Swieso, Michael Zyda
2021	—	`conf`	Toward Using Machine Learning-Based Motion Gesture for 3D Text Input. SUI Sloan Swieso, Powen Yao, Mark Miller, Adityan Jothi, Andrew Zhao, Michael Zyda
2021	—	`conf`	Virtual Equipment System: Toward Peripersonal Equipment Slots with Machine Learning. SUI Mark Miller, Powen Yao, Adityan Jothi, Andrew Zhao, Sloan Swieso, Michael Zyda
2020	J	`jnl`	The No-Flippancy Game. CoRR Isha Agarwal, Matvey Borodin, Aidan Duncan, Kaylee Ji, Tanya Khovanova, Shane Lee, Boyan Litchev, Anshul Rastogi, Garima Rastogi, Andrew Zhao
2017	—	`conf`	Graph-based extraction of shape features for leaf classification. GlobalSIP Andrew Zhao, Denis Tsygankov, Peng Qiu
2017	—	`conf`	Prevalence and Recoverability of Syntactic Parameters in Sparse Distributed Memories. GSI Jeong-Joon Park, Ronnel Boettcher, Andrew Zhao, Alex Mun, Kevin Yuh, Vibhor Kumar, Matilde Marcolli
2016	—	`conf`	Live demonstration: A 1024-pixel CMOS multi-modality sensing array for cell-based assays. IEEE SENSORS Jong Seok Park, Moez Karim Aziz, Taiyun Chi, Amy Su, Andrew Zhao, Hee Cheol Cho, Mark P. Styczynski, Hua Wang
2015	J	`jnl`	Prevalence and recoverability of syntactic parameters in sparse distributed memories. CoRR Jeong-Joon Park, Ronnel Boettcher, Andrew Zhao, Alex Mun, Kevin Yuh, Vibhor Kumar, Matilde Marcolli