31 citations · 51 across the 10 of their papers we have counts for
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cs.IR2023
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation
Can Chen, Hao Liu, Zeming Liu +2
Proactively and naturally guiding the dialog from the non-recommendation context (e.g., Chit-chat) to the recommendation scenario (e.g., Music) is crucial for the Conversational Re…
cs.LG2023★ 2 cited
Ternary Quantization: A Survey
Dan Liu, Xue Liu
Inference time, model size, and accuracy are critical for deploying deep neural network models. Numerous research efforts have been made to compress neural network models with fast…
cs.CE2023★ 1 cited
Bidirectional Learning for Offline Model-based Biological Sequence Design
Can Chen, Yingxue Zhang, Xue Liu +1
Offline model-based optimization aims to maximize a black-box objective function with a static dataset of designs and their scores. In this paper, we focus on biological sequence d…