← Authors

Zi Wang

39 papers · 2013–2026 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (87) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (12) 🐺 Lone Wolf (3) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (175) πŸ“ˆ Trend Setter πŸ’Ž Century Club (36) πŸ”₯ Unstoppable (5) ⚑ Prolific Year (5)

Conferences

NIPS (8) AAAI (7) ICML (5) CVPR (3) ICCV (3) ICLR (3) WACV (3) AISTATS (2) ACL (1) ECCV (1) EMNLP (1) JMLR (1) RSS (1)

Top co-authors

Aihua Zheng (5) Stefanie Jegelka (4) Jin Tang (4) Somesh Jha (3) Chengcheng Li (3) Chansoo Lee (2) Chenglong Li (2) Zhang Li (2) Yudong Chen (2) Ran He (2)

Keywords

gaussian process (8) bayesian optimization (6) knowledge distillation (5) person re-identification (4) model compression (4) regret bound (3) student network (3) autonomous driving (3) online learning (2) teacher network (2) class imbalance (2) gibbs sampling (2) image synthesis (2) filter pruning (2) uncertainty quantification (2) feature extraction (2) metric learning (2) high-dimensional optimization (2) multi-task learning (2) large language model (2)

Papers

DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning AAAI 2026
Semantic-Driven Visual Progressive Refinement for Aerial-Ground Person ReID: A Challenging Large-Scale Benchmark AAAI 2026
Progressive Multi-modal Knowledge Distillation for Multi-spectral Object Re-identification AAAI 2026
Select-Then-Decompose: From Empirical Analysis to Adaptive Selection Strategy for Task Decomposition in Large Language Models EMNLP 2025
Dataset Distillation via Vision-Language Category Prototype ICCV 2025
Deterministic Object Pose Confidence Region Estimation ICCV 2025
Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks ICLR 2025
Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty ICML 2025
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills RSS 2025
Pre-trained Gaussian Processes for Bayesian Optimization JMLR 2024
Heterogeneous Test-Time Training for Multi-Modal Person Re-identification AAAI 2024
REDUCR: Robust Data Downsampling using Class Priority Reweighting NIPS 2024
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox NIPS 2024
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents CVPR 2024
Multi-scale Cross Distillation for Object Detection in Aerial Images ECCV 2024
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks ICLR 2024
TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving CVPR 2023
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing NIPS 2023
Grammar Prompting for Domain-Specific Language Generation with Large Language Models NIPS 2023
Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms ICCV 2023
On Evaluating Multilingual Compositional Generalization with Translated Datasets ACL 2023
Channel Pruning via Lookahead Search Guided Reinforcement Learning WACV 2022
Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification AAAI 2022
A Quantitative Geometric Approach to Neural-Network Smoothness NIPS 2022
Online Knowledge Distillation by Temporal-Spatial Boosting WACV 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers NIPS 2022
Robust Multi-Modality Person Re-identification AAAI 2021
Convolutional Neural Network Pruning With Structural Redundancy Reduction CVPR 2021
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model ICML 2021
Learning Fast Converging, Effective Conditional Generative Adversarial Networks With a Mirrored Auxiliary Classifier WACV 2021
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis AAAI 2021
Learning sparse relational transition models ICLR 2019
Batched Large-scale Bayesian Optimization in High-dimensional Spaces AISTATS 2018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior NIPS 2018
Max-value Entropy Search for Efficient Bayesian Optimization ICML 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017
Optimization as Estimation with Gaussian Processes in Bandit Settings AISTATS 2016
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization ICML 2015
Scalable Inference for Logistic-Normal Topic Models NIPS 2013