29 citations · 57 across the 11 of their papers we have counts for
12 papers
Weakly Supervised Point Clouds Transformer for 3D Object Detection
Zuojin Tang, Bo Sun, Tongwei Ma +2
The annotation of 3D datasets is required for semantic-segmentation and object detection in scene understanding. In this paper we present a framework for the weakly supervision of…
Time Fairness in Online Knapsack Problems
Adam Lechowicz, Rik Sengupta, Bo Sun +2
The online knapsack problem is a classic problem in the field of online algorithms. Its canonical version asks how to pack items of different values and weights arriving online int…
LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation
Haitao Yang, Zaiwei Zhang, Xiangru Huang +5
Bird's-Eye View (BEV) features are popular intermediate scene representations shared by the 3D backbone and the detector head in LiDAR-based object detectors. However, little resea…
Near-optimal Online Algorithms for Joint Pricing and Scheduling in EV Charging Networks
Roozbeh Bostandoost, Bo Sun, Carlee Joe-Wong +1
With the rapid acceleration of transportation electrification, public charging stations are becoming vital infrastructure in a smart sustainable city to provide on-demand electric…
Online Search with Predictions: Pareto-optimal Algorithm and its Applications in Energy Markets
Russell Lee, Bo Sun, Mohammad Hajiesmaili +1
This paper develops learning-augmented algorithms for energy trading in volatile electricity markets. The basic problem is to sell (or buy) units of energy for the highest reve…
The Online Knapsack Problem with Departures
Bo Sun, Lin Yang, Mohammad Hajiesmaili +4
The online knapsack problem is a classic online resource allocation problem in networking and operations research. Its basic version studies how to pack online arriving items of di…
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding
Bo Sun, Banghuai Li, Shengcai Cai +2
Emerging interests have been brought to recognize previously unseen objects given very few training examples, known as few-shot object detection (FSOD). Recent researches demonstra…
Online Network Utility Maximization: Algorithm, Competitive Analysis, and Applications
Ying Cao, Bo Sun, Danny H. K. Tsang
We consider an online version of the well-studied network utility maximization problem, where users arrive one by one and an operator makes irrevocable decisions for each user with…
Data-driven Competitive Algorithms for Online Knapsack and Set Cover
Ali Zeynali, Bo Sun, Mohammad Hajiesmaili +1
The design of online algorithms has tended to focus on algorithms with worst-case guarantees, e.g., bounds on the competitive ratio. However, it is well-known that such algorithms…
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
Zaiwei Zhang, Bo Sun, Haitao Yang +1
We introduce H3DNet, which takes a colorless 3D point cloud as input and outputs a collection of oriented object bounding boxes (or BB) and their semantic labels. The critical idea…
Delay-Aware Scheduling over mmWave/Sub-6 Dual Interfaces: A Reinforcement Learning Approach
Ying Cao, Bo Sun, Danny H. K. Tsang
We consider a transmitter with mmWave/sub6 dual interfaces. Due to the intermittency of mmWave channel, the transmitter must schedule packets wisely across the interfaces to minimi…
Optimal Online Algorithms for One-Way Trading and Online Knapsack Problems: A Unified Competitive Analysis
Ying Cao, Bo Sun, Danny H. K. Tsang
We study two canonical online optimization problems under capacity/budget constraints: the fractional one-way trading problem (OTP) and the integral online knapsack problem (OKP) u…