Wang, Zichen

32 publications

CVPR 2025 Accurate Differential Operators for Hybrid Neural Fields Aditya Chetan, Guandao Yang, Zichen Wang, Steve Marschner, Bharath Hariharan
ICML 2025 AffinityFlow: Guided Flows for Antibody Affinity Maturation Can Chen, Karla-Luise Herpoldt, Chenchao Zhao, Zichen Wang, Marcus D. Collins, Shang Shang, Ron Benson
ICLRW 2025 AffinityFlow: Guided Flows for Antibody Affinity Maturation Can Chen, Karla-Luise Herpoldt, Chenchao Zhao, Zichen Wang, Marcus D. Collins, Shang Shang, Ron Benson
AAAI 2025 C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang
CVPR 2025 Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors Against Latency Attacks for Edge Devices Tianyi Wang, Zichen Wang, Cong Wang, Yuanchao Shu, Ruilong Deng, Peng Cheng, Jiming Chen
NeurIPS 2025 Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference Zichen Wang, Haoyang Hong, Chuanhao Li, Haoxuan Li, Zhiheng Zhang, Huazheng Wang
AAAI 2025 Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens Zichen Wang, Feng Yan, Tianyi Wang, Cong Wang, Yuanchao Shu, Peng Cheng, Jiming Chen
TMLR 2025 LC-PLM: Long-Context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers Yingheng Wang, Zichen Wang, Gil Sadeh, Luca Zancato, Alessandro Achille, George Karypis, Huzefa Rangwala
NeurIPS 2025 Online Experimental Design with Estimation-Regret Trade-Off Under Network Interference Zhiheng Zhang, Zichen Wang
ICML 2025 Protein Structure Tokenization: Benchmarking and New Recipe Xinyu Yuan, Zichen Wang, Marcus D. Collins, Huzefa Rangwala
CVPRW 2025 Prototype-Guided Diffusion for Digital Pathology: Achieving Foundation Model Performance with Minimal Clinical Data Ekaterina Redekop, Mara Pleasure, Vedrana Ivezic, Zichen Wang, Kimberly Flores, Anthony Sisk, William Speier, Corey W. Arnold
ICML 2025 Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition Zichen Wang, Chuanhao Li, Huazheng Wang
ICLR 2025 Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer Zihan Pengmei, Zhengyuan Shen, Zichen Wang, Marcus D. Collins, Huzefa Rangwala
ICLR 2025 Retrieval Augmented Diffusion Model for Structure-Informed Antibody Design and Optimization Zichen Wang, Yaokun Ji, Jianing Tian, Shuangjia Zheng
NeurIPS 2025 RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching Runze Ma, Zhongyue Zhang, Zichen Wang, Will Hua, Jiahua Rao, Zhuomin Zhou, Shuangjia Zheng
NeurIPS 2025 Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs Xingang Guo, Yaxin Li, XiangYi Kong, Yilan Jiang, Xiayu Zhao, Zhihua Gong, Yufan Zhang, Daixuan Li, Tianle Sang, Beixiao Zhu, Gregory Jun, Yingbing Huang, Yiqi Liu, Yuqi Xue, Rahul Dev Kundu, Qi Jian Lim, Yizhou Zhao, Luke Alexander Granger, Mohamed Badr Younis, Darioush Keivan, Nippun Sabharwal, Shreyanka Sinha, Prakhar Agarwal, Kojo Vandyck, Hanlin Mai, Zichen Wang, Aditya Venkatesh, Ayush Barik, Jiankun Yang, Chongying Yue, Jingjie He, Libin Wang, Licheng Xu, Hao Chen, Jinwen Wang, Liujun Xu, Rushabh Shetty, Ziheng Guo, Dahui Song, Manvi Jha, Weijie Liang, Weiman Yan, Bryan Zhang, Sahil Bhandary Karnoor, Jialiang Zhang, Rutva Pandya, Xinyi Gong, Mithesh Ballae Ganesh, Feize Shi, Ruiling Xu, Yifan Zhang, Yanfeng Ouyang, Lianhui Qin, Elyse Rosenbaum, Corey Snyder, Peter Seiler, Geir Dullerud, Xiaojia Shelly Zhang, Zuofu Cheng, Pavan Kumar Hanumolu, Jian Huang, Mayank Kulkarni, Mahdi Namazifar, Huan Zhang, Bin Hu
NeurIPS 2025 Tree-Based Premise Selection for Lean4 Zichen Wang, Anjie Dong, Zaiwen Wen
TMLR 2024 Adversarial Attacks on Online Learning to Rank with Stochastic Click Models Zichen Wang, Rishab Balasubramanian, Hui Yuan, Chenyu Song, Mengdi Wang, Huazheng Wang
ICLR 2024 BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai
CVPRW 2024 Codebook VQ-VAE Approach for Prostate Cancer Diagnosis Using Multiparametric MRI Ekaterina Redekop, Mara Pleasure, Zichen Wang, Karthik V. Sarma, Adam Kinnaird, William Speier, Corey W. Arnold
NeurIPS 2024 DiffusionPDE: Generative PDE-Solving Under Partial Observation Jiahe Huang, Guandao Yang, Zichen Wang, Jeong Joon Park
ICMLW 2024 DiffusionPDE: Generative PDE-Solving Under Partial Observation Jiahe Huang, Guandao Yang, Zichen Wang, Jeong Joon Park
AAAI 2024 Fine-Grained Prototypes Distillation for Few-Shot Object Detection Zichen Wang, Bo Yang, Haonan Yue, Zhenghao Ma
AAAI 2024 Graph Neural Prompting with Large Language Models Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu
ICLRW 2024 Integration of Graph Neural Network and Neural-Odes for Tumor Dynamics Prediction Omid Bazgir, Zichen Wang, Ji Won Park, Marc Hafner, James Lu
AAAI 2024 Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting Lingdong Shen, Chunlei Huo, Nuo Xu, Chaowei Han, Zichen Wang
UAI 2024 Pure Exploration in Asynchronous Federated Bandits Zichen Wang, Chuanhao Li, Chenyu Song, Lianghui Wang, Quanquan Gu, Huazheng Wang
AAAI 2024 Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms Yadong Xu, Bonan Ni, Weiran Shen, Xun Wang, Zichen Wang, Yinsong Xue, Pingzhong Tang
ECCV 2024 UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding Bowen Shi, Peisen Zhao, Zichen Wang, Yuhang Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian, Xiaopeng Zhang
ICLR 2023 Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information Yulun Wu, Rob Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C Price, Luis F. Voloch, George Karypis
NeurIPSW 2022 Variational Causal Inference Yulun Wu, Layne C Price, Zichen Wang, Vassilis N. Ioannidis, Rob Barton, George Karypis
CVPRW 2019 Semi-Supervised Learning Based on Generative Adversarial Network: A Comparison Between Good GAN and Bad GAN Approach Wenyuan Li, Zichen Wang, Jiayun Li, Jennifer Polson, William Speier, Corey W. Arnold