433 citations · 1.3k across the 29 of their papers we have counts for
32 papers
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training
Haode Zhang, Haowen Liang, Liming Zhan +2
We consider the task of few-shot intent detection, which involves training a deep learning model to classify utterances based on their underlying intents using only a small amount…
Network Cascade Vulnerability using Constrained Bayesian Optimization
Albert Lam, Mihai Anitescu, Anirudh Subramanyam
Measures of power grid vulnerability are often assessed by the amount of damage an adversary can exact on the network. However, the cascading impact of such attacks is often overlo…
Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization
Haode Zhang, Haowen Liang, Yuwei Zhang +4
It is challenging to train a good intent classifier for a task-oriented dialogue system with only a few annotations. Recent studies have shown that fine-tuning pre-trained language…
Two-Stage Auction Mechanism for Long-Term Participation in Crowdsourcing
Timothy Shin Heng Mak, Albert Y. S. Lam
Crowdsourcing has become an important tool to collect data for various artificial intelligence applications and auction can be an effective way to allocate work and determine rewar…
Effectiveness of Pre-training for Few-shot Intent Classification
Haode Zhang, Yuwei Zhang, Li-Ming Zhan +4
This paper investigates the effectiveness of pre-training for few-shot intent classification. While existing paradigms commonly further pre-train language models such as BERT on a…
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
Li-Ming Zhan, Haowen Liang, Bo Liu +3
Out-of-scope intent detection is of practical importance in task-oriented dialogue systems. Since the distribution of outlier utterances is arbitrary and unknown in the training st…
Failure Probability Constrained AC Optimal Power Flow
Anirudh Subramanyam, Jacob Roth, Albert Lam +1
Despite cascading failures being the central cause of blackouts in power transmission systems, existing operational and planning decisions are made largely by ignoring their underl…
Chance-Constrained OPF in Droop-Controlled Microgrids with Power Flow Routers
Tianlun Chen, David J. Hill, Yue Song +1
High penetration of renewable generation poses great challenge to power system operation due to its uncertain nature. In droop-controlled microgrids, the voltage volatility induced…
Reducing BESS Capacity for Accommodating Renewables in Subtransmission Systems with Power Flow Routers
Tianlun Chen, Albert Y. S. Lam, Yue Song +1
Widespread utilization of renewable energy sources (RESs) in subtransmission systems causes serious problems on power quality, such as voltage violations, leading to significant cu…
Robust Transient Stability Constrained Optimal Power Flow with Power Flow Routers Considering Renewable Uncertainties
Tianlun Chen, Albert Y. S. Lam, Yue Song +1
This paper proposes a robust transient stability constrained optimal power flow problem that addresses renewable uncertainties by the coordination of generation re-dispatch and pow…
A Unified Framework for Wide Area Measurement System Planning
James J. Q. Yu, Albert Y. S. Lam, David J. Hill +1
Wide area measurement system (WAMS) is one of the essential components in the future power system. To make WAMS construction plans, practical models of the power network observabil…
Delay Aware Intelligent Transient Stability Assessment System
James J. Q. Yu, Albert Y. S. Lam, David J. Hill +1
Transient stability assessment is a critical tool for power system design and operation. With the emerging advanced synchrophasor measurement techniques, machine learning methods a…
Coordinated Autonomous Vehicle Parking for Vehicle-to-Grid Services: Formulation and Distributed Algorithm
Albert Y. S. Lam, James J. Q. Yu, Yunhe Hou +1
Autonomous vehicles (AVs) will revolutionarize ground transport and take a substantial role in the future transportation system. Most AVs are likely to be electric vehicles (EVs) a…
Intelligent Time-Adaptive Transient Stability Assessment System
James J. Q. Yu, David J. Hill, Albert Y. S. Lam +2
Online identification of post-contingency transient stability is essential in power system control, as it facilitates the grid operator to decide and coordinate system failure corr…
A multi-layer market for vehicle-to-grid energy trading in the smart grid
Albert Y. S. Lam, Longbo Huang, Alonso Silva +1
In this work, we propose a multi-layer market for vehicle-to-grid energy trading. In the macro layer, we consider a double auction mechanism, under which the utility company act as…
Coordinated Electric Vehicle Charging Control with Aggregator Power Trading and Indirect Load Control
James J. Q. Yu, Junhao Lin, Albert Y. S. Lam +1
Due to the increasing concern for greenhouse gas emissions and fossil fuel security, electric vehicles (EVs) have attracted much attention in recent years. EVs can aggregate togeth…
Adaptive Chemical Reaction Optimization for Global Numerical Optimization
James J. Q. Yu, Albert Y. S. Lam, Victor O. K. Li
A newly proposed chemical-reaction-inspired metaheurisic, Chemical Reaction Optimization (CRO), has been applied to many optimization problems in both discrete and continuous domai…
Combinatorial Auction-Based Pricing for Multi-tenant Autonomous Vehicle Public Transportation System
Albert Y. S. Lam
A smart city provides its people with high standard of living through advanced technologies and transport is one of the major foci. With the advent of autonomous vehicles (AVs), an…
Autonomous Vehicle Public Transportation System: Scheduling and Admission Control
Albert Y. S. Lam, Yiu-Wing Leung, Xiaowen Chu
Technology of autonomous vehicles (AVs) is getting mature and many AVs will appear on the roads in the near future. AVs become connected with the support of various vehicular commu…
Chemical Reaction Optimization for the Set Covering Problem
James J. Q. Yu, Albert Y. S. Lam, Victor O. K. Li
The set covering problem (SCP) is one of the representative combinatorial optimization problems, having many practical applications. This paper investigates the development of an a…
An Inter-molecular Adaptive Collision Scheme for Chemical Reaction Optimization
James J. Q. Yu, Victor O. K. Li, Albert Y. S. Lam
Optimization techniques are frequently applied in science and engineering research and development. Evolutionary algorithms, as a kind of general-purpose metaheuristic, have been s…
Optimal V2G Scheduling of Electric Vehicles and Unit Commitment using Chemical Reaction Optimization
James J. Q. Yu, Victor O. K. Li, Albert Y. S. Lam
An electric vehicle (EV) may be used as energy storage which allows the bi-directional electricity flow between the vehicle's battery and the electric power grid. In order to flatt…
Sensor Deployment for Air Pollution Monitoring Using Public Transportation System
James J. Q. Yu, Victor O. K. Li, Albert Y. S. Lam
Air pollution monitoring is a very popular research topic and many monitoring systems have been developed. In this paper, we formulate the Bus Sensor Deployment Problem (BSDP) to s…
Real-Coded Chemical Reaction Optimization with Different Perturbation Functions
James J. Q. Yu, Albert Y. S. Lam, Victor O. K. Li
Chemical Reaction Optimization (CRO) is a powerful metaheuristic which mimics the interactions of molecules in chemical reactions to search for the global optimum. The perturbation…