activity
20182022
most citedHeuristic assessment of the economic effects of pandemic control

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2022

Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics

Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen +2

Efficient model selection for identifying a suitable pre-trained neural network to a downstream task is a fundamental yet challenging task in deep learning. Current practice requir…

cs.SD20211 cited

Environment Transfer for Distributed Systems

Chunheng Jiang, Jae-wook Ahn, Nirmit Desai

Collecting sufficient amount of data that can represent various acoustic environmental attributes is a critical problem for distributed acoustic machine learning. Several audio dat…

eess.SY20203 cited

Heuristic assessment of the economic effects of pandemic control

Xiang Niu, Christopher Brissette, Chunheng Jiang +3

Data-driven risk networks describe many complex system dynamics arising in fields such as epidemiology and ecology. They lack explicit dynamics and have multiple sources of cost, b…

cs.SI2020

True Nonlinear Dynamics from Incomplete Networks

Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail

We study nonlinear dynamics on complex networks. Each vertex has a state which evolves according to a networked dynamics to a steady-state . We develop fundamental…

cs.AI2019

Practical Algorithms for Multi-Stage Voting Rules with Parallel Universes Tiebreaking

Jun Wang, Sujoy Sikdar, Tyler Shepherd +3

STV and ranked pairs (RP) are two well-studied voting rules for group decision-making. They proceed in multiple rounds, and are affected by how ties are broken in each round. Howev…

cs.AI2018

Practical Algorithms for STV and Ranked Pairs with Parallel Universes Tiebreaking

Jun Wang, Sujoy Sikdar, Tyler Shepherd +3

STV and ranked pairs (RP) are two well-studied voting rules for group decision-making. They proceed in multiple rounds, and are affected by how ties are broken in each round. Howev…