Li, Zichao

15 publications

ICLR 2025 BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andre Noel, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar

ICLR 2025 From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs Alireza Rezazadeh, Zichao Li, Wei Wei, Yujia Bao

CVPRW 2025 Revolutionizing Drug Discovery: Integrating Spatial Transcriptomics with Advanced Computer Vision Techniques Zichao Li, Shiqing Qiu, Zong Ke

ICML 2025 The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models Zichao Li, Xueru Wen, Jie Lou, Yuqiu Ji, Yaojie Lu, Xianpei Han, Debing Zhang, Le Sun

ICLRW 2025 WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation Rabiul Awal, Mahsa Massoud, Zichao Li, Aarash Feizi, Suyuchen Wang, Christopher Pal, Aishwarya Agrawal, David Vazquez, Siva Reddy, Juan A. Rodriguez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

NeurIPSW 2024 BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks Juan A. Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-Andre Noel, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Kurt MacDonald, Sathwik Tejaswi Madhusudhan, Joao Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharaghani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vazquez, Sai Rajeswar

NeurIPS 2024 Do LLMs Build World Representations? Probing Through the Lens of State Abstraction Zichao Li, Yanshuai Cao, Jackie C.K. Cheung

NeurIPSW 2024 From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs Alireza Rezazadeh, Zichao Li, Wei Wei, Yujia Bao

TMLR 2024 On the Adversarial Robustness of Camera-Based 3D Object Detection Shaoyuan Xie, Zichao Li, Zeyu Wang, Cihang Xie

TMLR 2024 Scaling (Down) CLIP: A Comprehensive Analysis of Data,Architecture, and Training Strategies Zichao Li, Cihang Xie, Ekin Dogus Cubuk

ICML 2023 Tied-Augment: Controlling Representation Similarity Improves Data Augmentation Emirhan Kurtuluş, Zichao Li, Yann Dauphin, Ekin Dogus Cubuk

AAAI 2022 Text Revision by On-the-Fly Representation Optimization Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu

ICCV 2021 Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings? Mingjie Sun, Zichao Li, Chaowei Xiao, Haonan Qiu, Bhavya Kailkhura, Mingyan Liu, Bo Li

ICML 2020 Towards Adaptive Residual Network Training: A Neural-ODE Perspective Chengyu Dong, Liyuan Liu, Zichao Li, Jingbo Shang

NeurIPS 2020 Unsupervised Text Generation by Learning from Search Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael Lyu, Irwin King