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Zheng Wang

155 papers · 2014–2026 · 18 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 40 separate collaboration groups - the largest holds only 40% 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 Zheng Wang?

12 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.

28 papers whose co-authors appear nowhere else under this name
FedARA: Resource-adaptive Low-rank Personalized Federated Learning via Anchor-driven Representation Alignment on Heterogeneous Edge Devices CVPR 2026 LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document Understanding ACL 2026 More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning WACV 2026 SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements AAAI 2026 A Lightweight Hybrid Dual Channel Speech Enhancement System under Low-SNR Conditions Interspeech 2025 A Survey of LLM-based Agents in Medicine: How far are we from Baymax? ACL 2025 Detecting Corpus-Level Knowledge Inconsistencies in Wikipedia with Large Language Models EMNLP 2025 Synergizing Multimodal Temporal Knowledge Graphs and Large Language Models for Social Relation Recognition EMNLP 2025 Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting EMNLP 2024 Introducing Compiler Semantics into Large Language Models as Programming Language Translators: A Case Study of C to x86 Assembly EMNLP 2024 Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory Prediction IJCAI 2024 The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions NeurIPS 2024 DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining EMNLP 2023 Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling ICCV 2023 Scratch Each Other's Back: Incomplete Multi-Modal Brain Tumor Segmentation via Category Aware Group Self-Support Learning ICCV 2023 Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation ICML 2023 Colorization for In Situ Marine Plankton Images ECCV 2022 Context-Enhanced Stereo Transformer ECCV 2022 DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation ECCV 2022 Deep Unsupervised Anomaly Detection WACV 2021 Gaussian Process based Deep Dyna-Q approach for Dialogue Policy Learning ACL 2021 BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning NeurIPS 2020 Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation CVPR 2020 Multi-Type Self-Attention Guided Degraded Saliency Detection AAAI 2020 Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract) AAAI 2020 Dual-View Ranking with Hardness Assessment for Zero-Shot Learning AAAI 2019 Flexible Multi-View Representation Learning for Subspace Clustering IJCAI 2019 Causality Based Propagation History Ranking in Social Networks IJCAI 2016