Simulating Channel Allocation in Future Cellular Network. - Helmut Hlavacs; Günter Haring; Abhinav Kamra; Manish Bansal (HICSS, 2002)

A Compression Scheme for Handwritten Patterns Based on Curve Fitting. - Kamal Gupta; Manish Bansal; Santanu Chaudhury (ICDAR, 2011)

Clinical decision support: Converging toward an integrated architecture. - Arun Sen; Amarnath Banerjee; Atish P. Sinha; Manish Bansal (J. Biomed. Informatics, 2012)

Hybridization of Bound-and-Decompose and Mixed Integer Feasibility Checking to Measure Redundancy in Structured Linear Systems. - Manish Bansal; Kiavash Kianfar; Yu Ding 005; Erick Moreno-Centeno (IEEE Trans Autom. Sci. Eng., 2013)

n-Step Cycle Inequalities: Facets for Continuous n-Mixing Set and Strong Cuts for Multi-Module Capacitated Lot-Sizing Problem. - Manish Bansal; Kiavash Kianfar (IPCO, 2014)

n-Step cycle inequalities: facets for continuous multi-mixing set and strong cuts for multi-module capacitated lot-sizing problem. - Manish Bansal; Kiavash Kianfar (Math. Program., 2015)

Stochastic Multiresolution Persistent Homology Kernel. - Xiaojin Zhu 001; Ara Vartanian; Manish Bansal; Duy Nguyen; Luke Brandl (IJCAI, 2016)

Automated Full Chip SPICE simulations with self-checking assertions for last mile verification & first pass Silicon of mixed signal SoCs. - Gautham S. Harinarayan; Manmohan Rana; Nitin Pant; Manish Bansal; Sarthak Sharma; Nishant Kaundal (SoCC, 2016)

Facets for continuous multi-mixing set with general coefficients and bounded integer variables. - Manish Bansal; Kiavash Kianfar (Discret. Optim., 2017)

Planar Maximum Coverage Location Problem with Partial Coverage and Rectangular Demand and Service Zones. - Manish Bansal; Kiavash Kianfar (INFORMS J. Comput., 2017)

Robust decision making using a general utility set. - Jian Hu; Manish Bansal; Sanjay Mehrotra (Eur. J. Oper. Res., 2018)

Tight Second Stage Formulations in Two-Stage Stochastic Mixed Integer Programs. - Manish Bansal; Kuo-Ling Huang; Sanjay Mehrotra (SIAM J. Optim., 2018)

Decomposition Algorithms for Two-Stage Distributionally Robust Mixed Binary Programs. - Manish Bansal; Kuo-Ling Huang; Sanjay Mehrotra (SIAM J. Optim., 2018)

Addressing Vocabulary Gap in E-commerce Search. - Subhadeep Maji; Rohan Kumar; Manish Bansal; Kalyani Roy; Mohit Kumar 008; Pawan Goyal 002 (SIGIR, 2019)

Two-stage stochastic programming approach for path planning problems under travel time and availability uncertainties. - Saravanan Venkatachalam; Manish Bansal; Jonathon M. Smereka; Joseph Lee (CoRR, 2019)

Facets for single module and multi-module capacitated lot-sizing problems without backlogging. - Manish Bansal (Discret. Appl. Math., 2019)

On solving two-stage distributionally robust disjunctive programs with a general ambiguity set. - Manish Bansal; Sanjay Mehrotra (Eur. J. Oper. Res., 2019)

Implementation of 5G Authentication and Key Agreement Protocol on Xbee Networks. - S. V. Sriraam; Suraj Sajeev; Rohit Joshi; Amogh Vithalkar; Manish Bansal; Harshan Jagadeesh (COMSNETS, 2020)

Logic Constrained Pointer Networks for Interpretable Textual Similarity. - Subhadeep Maji; Rohan Kumar; Manish Bansal; Kalyani Roy; Pawan Goyal 002 (IJCAI, 2020)

Planar Maximum Coverage Location Problem with Partial Coverage, Continuous Spatial Demand, and Adjustable Quality of Service. - Manish Bansal; Parshin Shojaee (CoRR, 2020)

Scenario-based cuts for structured two-stage stochastic and distributionally robust p-order conic mixed integer programs. - Manish Bansal; Yingqiu Zhang (J. Glob. Optim., 2021)

Learning-to-Spell: Weak Supervision based Query Correction in E-Commerce Search with Small Strong Labels. - Madhura Pande; Vishal Kakkar; Manish Bansal; Surender Kumar; Chinmay Sharma; Himanshu Malhotra; Praneet Mehta (CIKM, 2022)

Secure and ultra-reliable provenance recovery in sparse networks: Strategies and performance bounds. - Suraj Sajeev; Manish Bansal; Sriraam S. V; Harshan Jagadeesh; Huzur Saran; Yih-Chun Hu (Ad Hoc Networks, 2022)

Discrete multi-module capacitated lot-sizing problems with multiple items. - Kartik Kulkarni; Manish Bansal (Oper. Res. Lett., 2022)

Stochastic Decomposition Method for Two-Stage Distributionally Robust Linear Optimization. - Harsha Gangammanavar; Manish Bansal (SIAM J. Optim., 2022)

A Neural Bag-of-Words Point Process Model for User Return Time Prediction in E-commerce. - Shashank Gupta 001; Manish Bansal (UMAP (Adjunct Publication), 2023)

Distributionally risk-receptive and risk-averse network interdiction problems with general ambiguity set. - Sumin Kang; Manish Bansal (Networks, 2023)

A Prototype on the Feasibility of Learning Spatial Provenance in XBee and LoRa Networks. - Manish Bansal; Pramsu Shrivastava; Jagadeesh Harshan (COMSNETS, 2024)

On Learning Spatial Provenance in Privacy-Constrained Wireless Networks. - Manish Bansal; Pramsu Shrivastava; Jagadeesh Harshan (WCNC, 2024)

Stackelberg Games with k-Submodular Function under Distributional Risk-Receptiveness and Robustness. - Seonghun Park; Manish Bansal (CoRR, 2024)

Algorithms for Cameras View-Frame Placement Problems in the Presence of an Adversary and Distributional Ambiguity. - Seonghun Park; Manish Bansal (IEEE Trans Autom. Sci. Eng., 2025)