112 citations · 173 across the 12 of their papers we have counts for
17 papers
Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning
Wangzhen Guo, Qinkang Gong, Hanjiang Lai
Multi-hop QA requires reasoning over multiple supporting facts to answer the question. However, the existing QA models always rely on shortcuts, e.g., providing the true answer by…
ViT2Hash: Unsupervised Information-Preserving Hashing
Qinkang Gong, Liangdao Wang, Hanjiang Lai +2
Unsupervised image hashing, which maps images into binary codes without supervision, is a compressor with a high compression rate. Hence, how to preserving meaningful information o…
Controllable Face Aging
Haien Zeng, Hanjiang Lai, Jian Yin
Motivated by the following two observations: 1) people are aging differently under different conditions for changeable facial attributes, e.g., skin color may become darker when wo…
Modal-aware Features for Multimodal Hashing
Haien Zeng, Hanjiang Lai, Hanlu Chu +2
Many retrieval applications can benefit from multiple modalities, e.g., text that contains images on Wikipedia, for which how to represent multimodal data is the critical component…
Simultaneous Region Localization and Hash Coding for Fine-grained Image Retrieval
Haien Zeng, Hanjiang Lai, Jian Yin
Fine-grained image hashing is a challenging problem due to the difficulties of discriminative region localization and hash code generation. Most existing deep hashing approaches so…
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning
Runsheng Yu, Zhenyu Shi, Xinrun Wang +5
Existing value-factorized based Multi-Agent deep Reinforce-ment Learning (MARL) approaches are well-performing invarious multi-agent cooperative environment under thecen-tralized t…