Jiawei Zhang
99 papers · 2015–2026 · 16 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 26 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Jiawei Zhang?
8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Bo Li, Chejian Xu, Linyi Li
14 papers
· 2019–2025
· ICML, ICLR, IJCAI
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AdvAgent: Controllable Blackbox Red-teaming on Web Agents
ICML 2025
EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE
ICLR 2025
GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning
ICML 2025
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
ICLR 2025
SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models
ICML 2025
UDora: A Unified Red Teaming Framework against LLM Agents by Dynamically Hijacking Their Own Reasoning
ICML 2025
ChatScene: Knowledge-Enabled Safety-Critical Scenario Generation for Autonomous Vehicles
CVPR 2024
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
ACL 2024
Double Sampling Randomized Smoothing
ICML 2022
Improving Certified Robustness via Statistical Learning with Logical Reasoning
NeurIPS 2022
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
ICML 2021
Attention-based Multi-level Feature Fusion for Named Entity Recognition
IJCAI 2020
Learning Signed Network Embedding via Graph Attention
AAAI 2020
Learning Network Embedding with Community Structural Information
IJCAI 2019
18 papers whose co-authors appear nowhere else under this name
AffordGen: Generating Diverse Demonstrations for Generalizable Object Manipulation with Affordance Correspondence
CVPR 2026
DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs
ACL 2026
Efficient Training for Human Video Generation with Entropy-Guided Prioritized Progressive Learning
CVPR 2026
SPEGC: Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical Image Segmentation
CVPR 2026
Smoothing the Score Function to Enhance Generalization in Diffusion Models
CVPR 2026
Aligning Black-Box LLMs for Aspect Sentiment Quad Prediction
EMNLP 2025
CoTD-PO: Chain-of-Thought Distillation with Preference Optimization
EMNLP 2025
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles
AAAI 2025
Rethinking Time Encoding via Learnable Transformation Functions
ICML 2025
Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
ICML 2025
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
AISTATS 2024
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems
NeurIPS 2024
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise
COLT 2023
HumanMAC: Masked Motion Completion for Human Motion Prediction
ICCV 2023
Pruning Deep Neural Networks from a Sparsity Perspective
ICLR 2023
Learning To Know Where To See: A Visibility-Aware Approach for Occluded Person Re-Identification
ICCV 2021
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae
ACL 2019
Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach
IJCAI 2018