activity
20182022
most citedStepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts

1 citations · 1 across the 2 of their papers we have counts for

collaborators

8 papers

cs.HC2022

Visual Area of Interests based Multimodal Trajectory Prediction for Probabilistic Risk Assessment

Qiang Zhang, Lingfang Yang, Xiaoliang Zhang +2

Accurate and reliable prediction of driving intentions and future trajectories contributes to cooperation between human drivers and ADAS in complex traffic environments. This paper…

cs.CL20221 cited

StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts

Zhengxiang Shi, Qiang Zhang, Aldo Lipani

Inferring spatial relations in natural language is a crucial ability an intelligent system should possess. The bAbI dataset tries to capture tasks relevant to this domain (task 17…

eess.AS2020

SNR-Based Teachers-Student Technique for Speech Enhancement

Xiang Hao, Xiangdong Su, Zhiyu Wang +3

It is very challenging for speech enhancement methods to achieves robust performance under both high signal-to-noise ratio (SNR) and low SNR simultaneously. In this paper, we propo…

cs.LG2019

Self-Attentive Hawkes Processes

Qiang Zhang, Aldo Lipani, Omer Kirnap +1

Asynchronous events on the continuous time domain, e.g., social media actions and stock transactions, occur frequently in the world. The ability to recognize occurrence patterns of…

stat.ML2019

Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets

Rui Luo, Qiang Zhang, Yaodong Yang +1

In this paper, we present a new practical method for Bayesian learning that can rapidly draw representative samples from complex posterior distributions with multiple isolated mode…

stat.ML2018

Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling

Rui Luo, Qiang Zhang, Yuanyuan Liu

We propose a new sampler that integrates the protocol of parallel tempering with the Nosé-Hoover (NH) dynamics. The proposed method can efficiently draw representative samples from…