Skip to content
conftrace_

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.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

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.

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