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Bo Wang

140 papers · 2008–2026 · 19 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 44 separate collaboration groups - the largest holds only 21% 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 Bo Wang?

16 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
BAMI: Training-Free Bias Mitigation in GUI Grounding CVPR 2026 Mitigating Error Amplification in Fast Adversarial Training CVPR 2026 Style-First Authorship Verification for Academic Integrity in the Generative AI Era (Student Abstract) AAAI 2026 Temporal Evidence Chain for Temporal Knowledge Graph Question Answering with Large Language Models ACL 2026 DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering ACL 2025 From Abyssal Darkness to Blinding Glare: A Benchmark on Extreme Exposure Correction in Real World ICCV 2025 Gazing at Rewards: Eye Movements as a Lens into Human and AI Decision-Making in Hybrid Visual Foraging CVPR 2025 Unveiling Privacy Risks in LLM Agent Memory ACL 2025 Boosting Single Positive Multi-label Classification with Generalized Robust Loss IJCAI 2024 GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning NeurIPS 2024 MassSpecGym: A benchmark for the discovery and identification of molecules NeurIPS 2024 Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models ACL 2024 SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model EMNLP 2024 DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets NeurIPS 2023 Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation IJCAI 2023 Model-Aware Contrastive Learning: Towards Escaping the Dilemmas ICML 2023 CodeExp: Explanatory Code Document Generation EMNLP 2022 GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs ECCV 2022 Interactive Image Synthesis With Panoptic Layout Generation CVPR 2022 Multi-Attribute Controlled Text Generation with Contrastive-Generator and External-Discriminator COLING 2022 Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction EMNLP 2021 Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization WACV 2021 Diversity Transfer Network for Few-Shot Learning AAAI 2020 DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature EMNLP 2019 Moment Matching for Multi-Source Domain Adaptation ICCV 2019 OpenNMT System Description for WNMT 2018: 800 words/sec on a single-core CPU ACL 2018 Unsupervised Learning from Noisy Networks with Applications to Hi-C Data NeurIPS 2016 Bootstrapping Both Product Features and Opinion Words from Chinese Customer Reviews with Cross-Inducing IJCNLP 2008