107 citations · 268 across the 12 of their papers we have counts for
13 papers
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph
Yi Liu, Hongrui Xuan, Bohan Li +3
Knowledge graphs (KGs) are commonly used as side information to enhance collaborative signals and improve recommendation quality. In the context of knowledge-aware recommendation (…
On the equivalence between squeezing and entanglement potential for two-mode Gaussian states
Bohan Li, Aritra Das, Spyros Tserkis +3
The maximum amount of entanglement achievable under passive transformations by continuous-variable states is called the entanglement potential. Recent work has demonstrated that th…
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Hongrui Xuan, Yi Liu, Bohan Li +1
A well-designed recommender system can accurately capture the attributes of users and items, reflecting the unique preferences of individuals. Traditional recommendation techniques…
Local Search For SMT On Linear and Multilinear Real Arithmetic
Bohan Li, Shaowei Cai
Satisfiability Modulo Theories (SMT) has significant application in various domains. In this paper, we focus on quantifier-free Satisfiablity Modulo Real Arithmetic, referred to as…
Local Search For Satisfiability Modulo Integer Arithmetic Theories
Shaowei Cai, Bohan Li, Xindi Zhang
Satisfiability Modulo Theories (SMT) refers to the problem of deciding the satisfiability of a formula with respect to certain background first order theories. In this paper, we fo…
Multi-rate adaptive transform coding for video compression
Lyndon R. Duong, Bohan Li, Cheng Chen +1
Contemporary lossy image and video coding standards rely on transform coding, the process through which pixels are mapped to an alternative representation to facilitate efficient d…
MetaPrompting: Learning to Learn Better Prompts
Yutai Hou, Hongyuan Dong, Xinghao Wang +2
Prompting method is regarded as one of the crucial progress for few-shot nature language processing. Recent research on prompting moves from discrete tokens based ``hard prompts''…
AdaSpeech: Adaptive Text to Speech for Custom Voice
Mingjian Chen, Xu Tan, Bohan Li +4
Custom voice, a specific text to speech (TTS) service in commercial speech platforms, aims to adapt a source TTS model to synthesize personal voice for a target speaker using few s…
On the Sentence Embeddings from Pre-trained Language Models
Bohan Li, Hao Zhou, Junxian He +3
Pre-trained contextual representations like BERT have achieved great success in natural language processing. However, the sentence embeddings from the pre-trained language models w…
A Technical Overview of AV1
Jingning Han, Bohan Li, Debargha Mukherjee +12
The AV1 video compression format is developed by the Alliance for Open Media consortium. It achieves more than 30% reduction in bit-rate compared to its predecessor VP9 for the sam…
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
Bohan Li, Junxian He, Graham Neubig +2
When trained effectively, the Variational Autoencoder (VAE) is both a powerful language model and an effective representation learning framework. In practice, however, VAEs are tra…
An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation
Xiang Kong, Bohan Li, Graham Neubig +2
In this work, we propose a method for neural dialogue response generation that allows not only generating semantically reasonable responses according to the dialogue history, but a…
Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data
Guokun Lai, Bohan Li, Guoqing Zheng +1
How to model distribution of sequential data, including but not limited to speech and human motions, is an important ongoing research problem. It has been demonstrated that model c…