Wang, Zi

38 publications

ICCV 2025 Dataset Distillation via Vision-Language Category Prototype Yawen Zou, Guang Li, Duo Su, Zi Wang, Jun Yu, Chao Zhang

ICCV 2025 Deterministic Object Pose Confidence Region Estimation Jinghao Wang, Zhang Li, Zi Wang, Banglei Guan, Yang Shang, Qifeng Yu

ICLR 2025 Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks Zi Wang, Divyam Anshumaan, Ashish Hooda, Yudong Chen, Somesh Jha

ICML 2025 Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty Meera Hahn, Wenjun Zeng, Nithish Kannen, Rich Galt, Kartikeya Badola, Been Kim, Zi Wang

NeurIPS 2025 QuestBench: Can LLMs Ask the Right Question to Acquire Information in Reasoning Tasks? Belinda Z. Li, Been Kim, Zi Wang

ICLRW 2024 Collaborative LLM-Agents for Editable Driving Scene Simulation Yuxi Wei, Zi Wang, Yifan Lu, Chenxin Xu, Changxing Liu, Hao Zhao, Siheng Chen, Yanfeng Wang

CVPR 2024 Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents Yuxi Wei, Zi Wang, Yifan Lu, Chenxin Xu, Changxing Liu, Hao Zhao, Siheng Chen, Yanfeng Wang

AAAI 2024 Heterogeneous Test-Time Training for Multi-Modal Person Re-Identification Zi Wang, Huaibo Huang, Aihua Zheng, Ran He

ECCV 2024 Multi-Scale Cross Distillation for Object Detection in Aerial Images Kun Wang, Zi Wang, Zhang Li, Xichao Teng, Yang Li

ICLR 2024 On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks Zi Wang, Bin Hu, Aaron J Havens, Alexandre Araujo, Yang Zheng, Yudong Chen, Somesh Jha

JMLR 2024 Pre-Trained Gaussian Processes for Bayesian Optimization Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani

NeurIPS 2024 REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes, George Hughes, Ilija Bogunovic, Zi Wang

NeurIPS 2024 Towards Heterogeneous Long-Tailed Learning: Benchmarking, Metrics, and Toolbox Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou

TMLR 2024 Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces Zhou Fan, Xinran Han, Zi Wang

ICCV 2023 Enhancing Non-Line-of-Sight Imaging via Learnable Inverse Kernel and Attention Mechanisms Yanhua Yu, Siyuan Shen, Zi Wang, Binbin Huang, Yuehan Wang, Xingyue Peng, Suan Xia, Ping Liu, Ruiqian Li, Shiying Li

NeurIPS 2023 Gaussian Process Probes (GPP) for Uncertainty-Aware Probing Zi Wang, Alexander Ku, Jason Baldridge, Tom Griffiths, Been Kim

NeurIPS 2023 Grammar Prompting for Domain-Specific Language Generation with Large Language Models Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim

NeurIPSW 2023 REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes, George Hughes, Ilija Bogunovic, Zi Wang

CVPR 2023 TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving Shaoheng Fang, Zi Wang, Yiqi Zhong, Junhao Ge, Siheng Chen

NeurIPS 2022 A Quantitative Geometric Approach to Neural-Network Smoothness Zi Wang, Gautam Prakriya, Somesh Jha

WACV 2022 Channel Pruning via Lookahead Search Guided Reinforcement Learning Zi Wang, Chengcheng Li

AAAI 2022 Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-Identification Zi Wang, Chenglong Li, Aihua Zheng, Ran He, Jin Tang

WACV 2022 Online Knowledge Distillation by Temporal-Spatial Boosting Chengcheng Li, Zi Wang, Hairong Qi

ICMLW 2022 Plex: Towards Reliability Using Pretrained Large Model Extensions Dustin Tran, Jeremiah Zhe Liu, Michael W Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda E Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Karan Singhal, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, Honglin Yuan, E. Kelly Buchanan, Kevin Patrick Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan

NeurIPS 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas

CVPR 2021 Convolutional Neural Network Pruning with Structural Redundancy Reduction Zi Wang, Chengcheng Li, Xiangyang Wang

AAAI 2021 Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis Zi Wang

WACV 2021 Learning Fast Converging, Effective Conditional Generative Adversarial Networks with a Mirrored Auxiliary Classifier Zi Wang

AAAI 2021 Robust Multi-Modality Person Re-Identification Aihua Zheng, Zi Wang, Zi-Han Chen, Chenglong Li, Jin Tang

ICML 2021 Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model Zi Wang

ICLR 2019 Learning Sparse Relational Transition Models Victoria Xia, Zi Wang, Kelsey Allen, Tom Silver, Leslie Pack Kaelbling

AISTATS 2018 Batched Large-Scale Bayesian Optimization in High-Dimensional Spaces Zi Wang, Clement Gehring, Pushmeet Kohli, Stefanie Jegelka

NeurIPS 2018 Regret Bounds for Meta Bayesian Optimization with an Unknown Gaussian Process Prior Zi Wang, Beomjoon Kim, Leslie Pack Kaelbling

ICML 2017 Batched High-Dimensional Bayesian Optimization via Structural Kernel Learning Zi Wang, Chengtao Li, Stefanie Jegelka, Pushmeet Kohli

ICML 2017 Max-Value Entropy Search for Efficient Bayesian Optimization Zi Wang, Stefanie Jegelka

AISTATS 2016 Optimization as Estimation with Gaussian Processes in Bandit Settings Zi Wang, Bolei Zhou, Stefanie Jegelka

ICML 2015 An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization Necdet Aybat, Zi Wang, Garud Iyengar

NeurIPS 2013 Scalable Inference for Logistic-Normal Topic Models Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng, Bo Zhang