Shih-Fen Cheng

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 38

Top Topics

Capacity Constraints

Top Venues

Publications

Qian Shao, Pradeep Varakantham, Shih-Fen Cheng
Imitating Cost-Constrained Behaviors in Reinforcement Learning. ICAPS (2024)
Qian Shao, Pradeep Varakantham, Shih-Fen Cheng
Imitating Cost-Constrained Behaviors in Reinforcement Learning. CoRR (2024)
Pang Jin Tan, Shih-Fen Cheng, Richard Chen
Enabling Sustainable Freight Forwarding Network via Collaborative Games. CoRR (2024)
Yuhong Xu, Shih-Fen Cheng, Xinyu Chen
Improving Quantal Cognitive Hierarchy Model Through Iterative Population Learning. AAMAS (2023)
Yuhong Xu, Shih-Fen Cheng, Xinyu Chen
Improving Quantal Cognitive Hierarchy Model Through Iterative Population Learning. CoRR (2023)
Qian Shao, Shih-Fen Cheng
Preference-Aware Delivery Planning for Last-Mile Logistics. CoRR (2023)
Pang Jin Tan, Shih-Fen Cheng, Richard Chen
Designing Large-Scale Intelligent Collaborative Platform for Freight Forwarders. SSCI (2023)
Qian Shao, Shih-Fen Cheng
Preference-Aware Delivery Planning for Last-Mile Logistics. AAMAS (2023)
Mengyu Ji, Yuhong Xu, Shih-Fen Cheng
Quantifying Taxi Drivers' Behaviors with Behavioral Game Theory. ITSC (2023)
Shih-Fen Cheng, Prabod Rathnayaka
M²-CNN: A Macro-Micro Model for Taxi Demand Prediction. BigData (2023)
Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng
Strategic Planning for Flexible Agent Availability in Large Taxi Fleets. AAMAS (2023)
Nurul Asyikeen Binte Azhar, Aldy Gunawan, Shih-Fen Cheng, Erwin Leonardi
Carbon-Aware Mine Planning with a Novel Multi-objective Framework. ICCL (2023)
Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng
Strategic Planning for Flexible Agent Availability in Large Taxi Fleets. CoRR (2023)
Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models. AAAI (2022)
Changyu Chen, Avinandan Bose, Shih-Fen Cheng, Arunesh Sinha
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models. CoRR (2022)
Nurul Asyikeen Binte Azhar, Aldy Gunawan, Shih-Fen Cheng, Erwin Leonardi
A Carbon-Aware Planning Framework for Production Scheduling in Mining. ICCL (2022)
Yi'an Wang, Fangyi Cai, Shih-Fen Cheng, Bo Wu, Kai Cao
Taxi travel time based Geographically Weighted Regression Model (GWR) for modeling public housing prices in Singapore. Geoinformatics (2022)
Mengyu Ji, Shih-Fen Cheng
Automated Taxi Queue Management at High-Demand Venues. CASE (2021)
Chung-Kyun Han, Shih-Fen Cheng
A Lagrangian Column Generation Approach for the Probabilistic Crowdsourced Logistics Planning. CASE (2021)
Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng
Adaptive Operating Hours for Improved Performance of Taxi Fleets. AAMAS (2021)
Chung-Kyun Han, Shih-Fen Cheng
An Exact Single-Agent Task Selection Algorithm for the Crowdsourced Logistics. IJCAI (2020)
Thivya Kandappu, Abhinav Mehrotra, Archan Misra, Mirco Musolesi, Shih-Fen Cheng, Lakmal Meegahapola
PokeME: Applying Context-Driven Notifications to Increase Worker Engagement in Mobile Crowd-sourcing. CHIIR (2020)
Chung-Kyun Han, Shih-Fen Cheng, Pradeep Varakantham
A Homophily-Free Community Detection Framework for Trajectories with Delayed Responses. AAMAS (2019)
Lucas Agussurja, Shih-Fen Cheng, Hoong Chuin Lau
A State Aggregation Approach for Stochastic Multiperiod Last-Mile Ride-Sharing Problems. Transp. Sci. 53 (1) (2019)
Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Pradeep Varakantham, Nghia Troung Troung, Firmansyah Bin Abd Rahman
A Driver Guidance System for Taxis in Singapore. AAMAS (2018)
Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Randy Tandriansyah, Hoong Chuin Lau
Obfuscation At-Source: Privacy in Context-Aware Mobile Crowd-Sourcing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (1) (2018)
Chung-Kyun Han, Archan Misra, Shih-Fen Cheng
Mobility-Driven BLE Transmit-Power Adaptation for Participatory Data Muling. ICPADS (2018)
Shih-Fen Cheng, Shashi Shekhar Jha, Rishikeshan Rajendram
Taxis Strike Back: A Field Trial of the Driver Guidance System. AAMAS (2018)
Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Trong Khiem Tran, Pradeep Varakantham, Trong Nghia Truong, Firmansyah Bin Abd Rahman
Upping the Game of Taxi Driving in the Age of Uber. AAAI (2018)
Shih-Fen Cheng, Cen Chen, Thivya Kandappu, Hoong Chuin Lau, Archan Misra, Nikita Jaiman, Randy Tandriansyah, Desmond Koh
Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement. ACM Trans. Intell. Syst. Technol. 9 (3) (2018)
Wenjie Wang, Hoong Chuin Lau, Shih-Fen Cheng
Exact and heuristic approaches for the multi-agent orienteering problem with capacity constraints. SSCI (2017)
Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Hoong Chuin Lau
Privacy in context-aware mobile crowdsourcing systems. PerCom Workshops (2017)
Thivya Kandappu, Nikita Jaiman, Randy Tandriansyah, Archan Misra, Shih-Fen Cheng, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta
TASKer: behavioral insights via campus-based experimental mobile crowd-sourcing. UbiComp (2016)
Teck-Hou Teng, Shih-Fen Cheng, Trong Nghia Truong, Hoong Chuin Lau
Managing egress of crowd during infrastructure disruption. WSC (2016)
Larry Lin, Kathleen M. Carley, Shih-Fen Cheng
An agent-based approach to human migration movement. WSC (2016)
Lucas Agussurja, Hoong Chuin Lau, Shih-Fen Cheng
Achieving Stable and Fair Profit Allocation with Minimum Subsidy in Collaborative Logistics. AAAI (2016)
Thivya Kandappu, Archan Misra, Shih-Fen Cheng, Nikita Jaiman, Randy Tandriansyah, Cen Chen, Hoong Chuin Lau, Deepthi Chander, Koustuv Dasgupta
Campus-Scale Mobile Crowd-Tasking: Deployment & Behavioral Insights. CSCW (2016)
Stephanus Daniel Handoko, Hoong Chuin Lau, Shih-Fen Cheng
Achieving Economic and Environmental Sustainabilities in Urban Consolidation Center With Bicriteria Auction. IEEE Trans Autom. Sci. Eng. 13 (4) (2016)
Jiali Du, Pradeep Varakantham, Akshat Kumar, Shih-Fen Cheng
Learning and Controlling Network Diffusion in Dependent Cascade Models. WI-IAT (2) (2015)
Jiali Du, Shih-Fen Cheng, Hoong Chuin Lau
Designing Bus Transit Services for Routine Crowd Situations at Large Event Venues. ICCL (2015)
Dongchang Liu, Shih-Fen Cheng, Yiping Yang
Density Peaks Clustering Approach for Discovering Demand Hot Spots in City-scale Taxi Fleet Dataset. ITSC (2015)
Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau, Archan Misra
Towards City-Scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties. IJCAI (2015)
Cen Chen, Shih-Fen Cheng, Archan Misra, Hoong Chuin Lau
Multi-Agent Task Assignment for Mobile Crowdsourcing under Trajectory Uncertainties. AAMAS (2015)
Larry J. J. Lin, Shih-Fen Cheng, Hoong Chuin Lau
Building crowd movement model using sample-based mobility survey. WSC (2015)
Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau
Multi-agent orienteering problem with time-dependent capacity constraints. Web Intell. Agent Syst. 12 (4) (2014)
Cen Chen, Shih-Fen Cheng, Aldy Gunawan, Archan Misra, Koustuv Dasgupta, Deepthi Chander
TRACCS: A Framework for Trajectory-Aware Coordinated Urban Crowd-Sourcing. HCOMP (2014)
Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau
Mechanisms for arranging ride sharing and fare splitting for last-mile travel demands. AAMAS (2014)
Hoong Chuin Lau, Lucas Agussurja, Shih-Fen Cheng, Pang Jin Tan
A Multi-Objective Memetic Algorithm for Vehicle Resource Allocation in Sustainable Transportation Planning. IJCAI (2013)
Pradeep Varakantham, Na Fu, William Yeoh, Shih-Fen Cheng, Hoong Chuin Lau
Budgeted Personalized Incentive Approaches for Smoothing Congestion in Resource Networks. ADT (2013)
Shih-Fen Cheng, Larry Lin, Jiali Du, Hoong Chuin Lau, Pradeep Varakantham
An agent-based simulation approach to experience management in theme parks. WSC (2013)
Pradeep Varakantham, Shih-Fen Cheng, Geoffrey J. Gordon, Asrar Ahmed
Decision Support for Agent Populations in Uncertain and Congested Environments. AAAI (2012)
Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng
Lagrangian Relaxation for Large-Scale Multi-agent Planning. IAT (2012)
Asrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng
Uncertain Congestion Games with Assorted Human Agent Populations CoRR (2012)
Asrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng
Uncertain Congestion Games with Assorted Human Agent Populations. UAI (2012)
Shih-Fen Cheng, John Tajan, Hoong Chuin Lau
Robust distributed scheduling via time-period aggregation. Web Intell. Agent Syst. 10 (3) (2012)
Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng
Lagrangian relaxation for large-scale multi-agent planning. AAMAS (2012)
Long-Foong Liow, Shih-Fen Cheng, Hoong Chuin Lau
Niche-seeking in influence maximization with adversary. ICEC (2012)
Yee Pin Lim, Shih-Fen Cheng
Knowledge-Driven Autonomous Commodity Trading Advisor. IAT (2012)
Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau
A Mechanism for Organizing Last-Mile Service Using Non-dedicated Fleet. IAT (2012)
Shih-Fen Cheng, Thi Duong Nguyen
TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations. AAMAS Workshops (2011)
Pradeep Varakantham, Shih-Fen Cheng, Nguyen Thi Duon
Decentralized decision support for an agent population in dynamic and uncertain domains. AAMAS (2011)
Shih-Fen Cheng, Thi Duong Nguyen
TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations. IAT (2011)
Shih-Fen Cheng
Event Study Approach for Validating Agent-Based Trading Simulations. IAT (2010)
Shih-Fen Cheng, Yee Pin Lim
An Agent-based Commodity Trading Simulation. IAAI (2009)
Shih-Fen Cheng, Xin Qu
A service choice model for optimizing taxi service delivery. ITSC (2009)
Shih-Fen Cheng, Yee Pin Lim, Chao-Chih Liu
An agent-based commodity trading simulation. AAMAS (2) (2009)
Shih-Fen Cheng, John Tajan, Hoong Chuin Lau
Distributing Complementary Resources across Multiple Periods with Stochastic Demand: Hedging via Time Frame Aggregation. IAT (2008)
Shih-Fen Cheng, Michael P. Wellman
Iterated Weaker-than-Weak Dominance. IJCAI (2007)
Shih-Fen Cheng
Designing the Market Game for a Commodity Trading Simulation. IAT (2007)
Hoong Chuin Lau, Shih-Fen Cheng, Thin Yin Leong, Jong Han Park, Zhengyi John Zhao
Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling. IAT (2007)
Shih-Fen Cheng, Marina A. Epelman, Robert L. Smith
CoSIGN: A Parallel Algorithm for Coordinated Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 7 (4) (2006)
Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Shih-Fen Cheng, Rahul Suri
Approximate Strategic Reasoning through Hierarchical Reduction of Large Symmetric Games. AAAI (2005)
Shih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevin O'Malley, Daniel M. Reeves, L. Julian Schvartzman, Michael P. Wellman
Walverine: a Walrasian trading agent. Decis. Support Syst. 39 (2) (2005)
Michael P. Wellman, Shih-Fen Cheng, Daniel M. Reeves, Kevin M. Lochner
Trading Agents Competing: Performance, Progress, and Market Effectiveness. IEEE Intell. Syst. 18 (6) (2003)
Shih-Fen Cheng, Michael P. Wellman, Dennis G. Perry
Market-Based Resource Allocation for Information-Collection Scenarios. MAMUS (2003)
Shih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevin O'Malley, Daniel M. Reeves, L. Julian Schvartzman, Michael P. Wellman
Walverine: a Walrasian trading agent. AAMAS (2003)