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Shih-Fen Cheng
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2020 – today
- 2024
- [c62]Nurul Asyikeen Binte Azhar, Aldy Gunawan, Shih-Fen Cheng, Erwin Leonardi:
Comparison of Evolutionary Algorithms: A Case Study on the Multi-Objective Carbon-Aware Mine Planning. CASE 2024: 962-969 - [c61]Qian Shao, Pradeep Varakantham
, Shih-Fen Cheng:
Imitating Cost-Constrained Behaviors in Reinforcement Learning. ICAPS 2024: 514-522 - [c60]Pang Jin Tan, Shih-Fen Cheng, Richard Chen:
Enabling Sustainable Freight Forwarding Network via Collaborative Games. IJCAI 2024: 2976-2983 - [i7]Qian Shao, Pradeep Varakantham
Imitating Cost-Constrained Behaviors in Reinforcement Learning. CoRR abs/2403.17456 (2024) - [i6]Pang Jin Tan, Shih-Fen Cheng, Richard Chen:
Enabling Sustainable Freight Forwarding Network via Collaborative Games. CoRR abs/2405.14198 (2024) - 2023
- [c59]Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng:
Strategic Planning for Flexible Agent Availability in Large Taxi Fleets. AAMAS 2023: 552-560 - [c58]Qian Shao, Shih-Fen Cheng:
Preference-Aware Delivery Planning for Last-Mile Logistics. AAMAS 2023: 1524-1532 - [c57]Yuhong Xu, Shih-Fen Cheng, Xinyu Chen:
Improving Quantal Cognitive Hierarchy Model Through Iterative Population Learning. AAMAS 2023: 2718-2720 - [c56]Shih-Fen Cheng
M²-CNN: A Macro-Micro Model for Taxi Demand Prediction. IEEE Big Data 2023: 1395-1402 - [c55]Nurul Asyikeen Binte Azhar
Carbon-Aware Mine Planning with a Novel Multi-objective Framework. ICCL 2023: 500-516 - [c54]Mengyu Ji, Yuhong Xu, Shih-Fen Cheng
Quantifying Taxi Drivers' Behaviors with Behavioral Game Theory. ITSC 2023: 3016-3021 - [c53]Pang Jin Tan, Shih-Fen Cheng
Designing Large-Scale Intelligent Collaborative Platform for Freight Forwarders. SSCI 2023: 1767-1772 - [i5]Yuhong Xu, Shih-Fen Cheng, Xinyu Chen:
Improving Quantal Cognitive Hierarchy Model Through Iterative Population Learning. CoRR abs/2302.06033 (2023) - [i4]Qian Shao, Shih-Fen Cheng:
Preference-Aware Delivery Planning for Last-Mile Logistics. CoRR abs/2303.04333 (2023) - [i3]Rajiv Ranjan Kumar, Pradeep Varakantham
Strategic Planning for Flexible Agent Availability in Large Taxi Fleets. CoRR abs/2303.04337 (2023) - 2022
- [c52]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: 6193-6201 - [c51]Yi'an Wang, Fangyi Cai, Shih-Fen Cheng
Taxi travel time based Geographically Weighted Regression Model (GWR) for modeling public housing prices in Singapore. Geoinformatics 2022: 1-5 - [c50]Nurul Asyikeen Binte Azhar
A Carbon-Aware Planning Framework for Production Scheduling in Mining. ICCL 2022: 441-456 - [i2]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 abs/2201.09644 (2022) - 2021
- [c49]Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng:
Adaptive Operating Hours for Improved Performance of Taxi Fleets. AAMAS 2021: 728-736 - [c48]Chung-Kyun Han, Shih-Fen Cheng
A Lagrangian Column Generation Approach for the Probabilistic Crowdsourced Logistics Planning. CASE 2021: 107-112 - [c47]Mengyu Ji, Shih-Fen Cheng
Automated Taxi Queue Management at High-Demand Venues. CASE 2021: 1757-1762 - 2020
- [c46]Thivya Kandappu, Abhinav Mehrotra, Archan Misra
PokeME: Applying Context-Driven Notifications to Increase Worker Engagement in Mobile Crowd-sourcing. CHIIR 2020: 3-12 - [c45]Chung-Kyun Han, Shih-Fen Cheng
An Exact Single-Agent Task Selection Algorithm for the Crowdsourced Logistics. IJCAI 2020: 4352-4358
2010 – 2019
- 2019
- [j9]Lucas Agussurja, Shih-Fen Cheng
A State Aggregation Approach for Stochastic Multiperiod Last-Mile Ride-Sharing Problems. Transp. Sci. 53(1): 148-166 (2019) - [c44]Chung-Kyun Han, Shih-Fen Cheng, Pradeep Varakantham:
A Homophily-Free Community Detection Framework for Trajectories with Delayed Responses. AAMAS 2019: 2003-2005 - 2018
- [j8]Thivya Kandappu, Archan Misra
Obfuscation At-Source: Privacy in Context-Aware Mobile Crowd-Sourcing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 16:1-16:24 (2018) - [j7]Shih-Fen Cheng
Scalable Urban Mobile Crowdsourcing: Handling Uncertainty in Worker Movement. ACM Trans. Intell. Syst. Technol. 9(3): 26:1-26:24 (2018) - [c43]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: 7779-7785 - [c42]Shih-Fen Cheng, Shashi Shekhar Jha, Rishikeshan Rajendram:
Taxis Strike Back: A Field Trial of the Driver Guidance System. AAMAS 2018: 577-584 - [c41]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: 1820-1822 - [c40]Chung-Kyun Han, Archan Misra
Mobility-Driven BLE Transmit-Power Adaptation for Participatory Data Muling. ICPADS 2018: 962-971 - 2017
- [c39]Thivya Kandappu, Archan Misra
Privacy in context-aware mobile crowdsourcing systems. PerCom Workshops 2017: 231-236 - [c38]Wenjie Wang, Hoong Chuin Lau
Exact and heuristic approaches for the multi-agent orienteering problem with capacity constraints. SSCI 2017: 1-7 - 2016
- [j6]Stephanus Daniel Handoko, Hoong Chuin Lau
Achieving Economic and Environmental Sustainabilities in Urban Consolidation Center With Bicriteria Auction. IEEE Trans Autom. Sci. Eng. 13(4): 1471-1479 (2016) - [c37]Lucas Agussurja, Hoong Chuin Lau, Shih-Fen Cheng:
Achieving Stable and Fair Profit Allocation with Minimum Subsidy in Collaborative Logistics. AAAI 2016: 3785-3792 - [c36]Thivya Kandappu, Archan Misra
Campus-Scale Mobile Crowd-Tasking: Deployment & Behavioral Insights. CSCW 2016: 798-810 - [c35]Thivya Kandappu, Nikita Jaiman, Randy Tandriansyah, Archan Misra
TASKer: behavioral insights via campus-based experimental mobile crowd-sourcing. UbiComp 2016: 392-402 - [c34]Teck-Hou Teng, Shih-Fen Cheng
Managing egress of crowd during infrastructure disruption. WSC 2016: 1316-1327 - [c33]Larry Lin, Kathleen M. Carley, Shih-Fen Cheng
An agent-based approach to human migration movement. WSC 2016: 3510-3520 - 2015
- [c32]Cen Chen, Shih-Fen Cheng, Archan Misra, Hoong Chuin Lau:
Multi-Agent Task Assignment for Mobile Crowdsourcing under Trajectory Uncertainties. AAMAS 2015: 1715-1716 - [c31]Jiali Du, Shih-Fen Cheng
Designing Bus Transit Services for Routine Crowd Situations at Large Event Venues. ICCL 2015: 704-718 - [c30]Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau, Archan Misra:
Towards City-Scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties. IJCAI 2015: 1113-1119 - [c29]Dongchang Liu, Shih-Fen Cheng
Density Peaks Clustering Approach for Discovering Demand Hot Spots in City-scale Taxi Fleet Dataset. ITSC 2015: 1831-1836 - [c28]Jiali Du, Pradeep Varakantham
Learning and Controlling Network Diffusion in Dependent Cascade Models. WI-IAT (2) 2015: 336-343 - [c27]Larry J. J. Lin, Shih-Fen Cheng
Building crowd movement model using sample-based mobility survey. WSC 2015: 139-150 - 2014
- [j5]Cen Chen, Shih-Fen Cheng
Multi-agent orienteering problem with time-dependent capacity constraints. Web Intell. Agent Syst. 12(4): 347-358 (2014) - [c26]Shih-Fen Cheng, Duc Thien Nguyen, Hoong Chuin Lau:
Mechanisms for arranging ride sharing and fare splitting for last-mile travel demands. AAMAS 2014: 1505-1506 - [c25]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: 30-40 - [e1]Christopher C. Yang, David Gefen, David Fenske, Bruce W. Weber, Eric K. Clemons, Qizhi Dai, Harry Wang, Sunil Wattal, Shih-Fen Cheng, Johnna Capitano:
Sixteenth International Conference on Electronic Commerce, ICEC '14, Philadelphia, PA, USA, August 5-6, 2014. ACM 2014, ISBN 978-1-4503-2618-6 [contents] - 2013
- [c24]Pradeep Varakantham
Budgeted Personalized Incentive Approaches for Smoothing Congestion in Resource Networks. ADT 2013: 375-386 - [c23]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: 2833-2839 - [c22]Shih-Fen Cheng
An agent-based simulation approach to experience management in theme parks. WSC 2013: 1527-1538 - 2012
- [j4]Shih-Fen Cheng
Robust distributed scheduling via time-period aggregation. Web Intell. Agent Syst. 10(3): 305-318 (2012) - [c21]Long-Foong Liow, Shih-Fen Cheng
Niche-seeking in influence maximization with adversary. ICEC 2012: 107-112 - [c20]Pradeep Varakantham, Shih-Fen Cheng, Geoffrey J. Gordon, Asrar Ahmed:
Decision Support for Agent Populations in Uncertain and Congested Environments. AAAI 2012: 1471-1477 - [c19]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: 1227-1228 - [c18]Shih-Fen Cheng
A Mechanism for Organizing Last-Mile Service Using Non-dedicated Fleet. IAT 2012: 85-89 - [c17]Yee Pin Lim, Shih-Fen Cheng
Knowledge-Driven Autonomous Commodity Trading Advisor. IAT 2012: 119-125 - [c16]Geoffrey J. Gordon, Pradeep Varakantham
Lagrangian Relaxation for Large-Scale Multi-agent Planning. IAT 2012: 494-501 - [c15]Asrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng:
Uncertain Congestion Games with Assorted Human Agent Populations. UAI 2012: 44-53 - [i1]Asrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng:
Uncertain Congestion Games with Assorted Human Agent Populations. CoRR abs/1210.4848 (2012) - 2011
- [c14]Shih-Fen Cheng, Thi Duong Nguyen:
TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations. AAMAS Workshops 2011: 359-360 - [c13]Pradeep Varakantham, Shih-Fen Cheng, Nguyen Thi Duon:
Decentralized decision support for an agent population in dynamic and uncertain domains. AAMAS 2011: 1147-1148 - [c12]Shih-Fen Cheng
TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations. IAT 2011: 14-21 - 2010
- [c11]Shih-Fen Cheng
Event Study Approach for Validating Agent-Based Trading Simulations. IAT 2010: 465-469
2000 – 2009
- 2009
- [c10]Shih-Fen Cheng, Yee Pin Lim, Chao-Chih Liu:
An agent-based commodity trading simulation. AAMAS (2) 2009: 1377-1378 - [c9]Shih-Fen Cheng, Yee Pin Lim:
An Agent-based Commodity Trading Simulation. IAAI 2009 - [c8]Shih-Fen Cheng
A service choice model for optimizing taxi service delivery. ITSC 2009: 1-6 - 2008
- [c7]Shih-Fen Cheng
Distributing Complementary Resources across Multiple Periods with Stochastic Demand: Hedging via Time Frame Aggregation. IAT 2008: 373-379 - 2007
- [c6]Hoong Chuin Lau
Multi-Period Combinatorial Auction Mechanism for Distributed Resource Allocation and Scheduling. IAT 2007: 407-411 - [c5]Shih-Fen Cheng
Designing the Market Game for a Commodity Trading Simulation. IAT 2007: 445-449 - [c4]Shih-Fen Cheng, Michael P. Wellman:
Iterated Weaker-than-Weak Dominance. IJCAI 2007: 1233-1238 - 2006
- [b1]Shih-Fen Cheng:
Game-theoretic approaches for complex systems optimization. University of Michigan, USA, 2006 - [j3]Shih-Fen Cheng
CoSIGN: A Parallel Algorithm for Coordinated Traffic Signal Control. IEEE Trans. Intell. Transp. Syst. 7(4): 551-564 (2006) - 2005
- [j2]Shih-Fen Cheng
Walverine: a Walrasian trading agent. Decis. Support Syst. 39(2): 169-184 (2005) - [c3]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: 502-508 - 2003
- [j1]Michael P. Wellman
Trading Agents Competing: Performance, Progress, and Market Effectiveness. IEEE Intell. Syst. 18(6): 48-53 (2003) - [c2]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: 465-472 - [c1]Shih-Fen Cheng, Michael P. Wellman, Dennis G. Perry:
Market-Based Resource Allocation for Information-Collection Scenarios. MAMUS 2003: 33-47
Coauthor Index
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