Qiang Ni

4 papers · 2023–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15)

Venues

AAAI (3) WACV (1)

Top co-authors

Leandro Soriano Marcolino (2) Lianyong Qi (2) Weiming Liu (2) Xiaoran Zhao (1) Haolong Xiang (1) Shichao Pei (1) Abdulrahman Kerim (1) Ronghui Mu (1) Yang Zhang (1) Yang Cao (1)

Research topics

Machine Learning (4) Learning Types (4) Artificial Intelligence (2) Application Areas (2) Core AI (2) Core Methods (2) Reinforcement Learning (1) Security & Privacy (1) Learning Paradigms · Artificial Intelligence (1) Learning Paradigms · Machine Learning (1) Methods (1) Privacy (1)

Keywords

federated learning (1) multi-task learning (1) false discovery rate (1) conformal prediction (1) optimal transport (1) backdoor attack (1) synthetic data (1) robustness certification (1) sequential recommendation (1) mixture of expert (1) recommender system (1) variational graph autoencoder (1) cooperative multi-agent reinforcement learning (1) sample selection bia (1) certified bound (1) gradient manipulation (1) conversion rate prediction (1) hyperbolic graph convolution (1) policy smoothing (1) false negative detection (1)

Papers

Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation AAAI 2026 IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction AAAI 2026 SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning WACV 2026 Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning AAAI 2023