Hardware/Software Co-Design of a High-Speed Othello Solver. - Pranav Gangwar; Satvik Maurya; Shubham Garg; Sakshi Goyal; Aditya S. Kumar; Preyesh Dalmia; Neeta Pandey (MWSCAS, 2019)

Code-Switched Text Synthesis in Unseen Language Pairs. - I-Hung Hsu; Avik Ray; Shubham Garg; Nanyun Peng 001; Jing Huang 020 (ACL (Findings), 2023)

Detection of Pneumonia in Chest X-Ray Using Ensemble Learners and Transfer Learning with Deep Learning Models. - Hemanth Bysani; Shubham Garg; Aashritha Danda; Tripty Singh; C. Jyotsna; Prakash Duraisamy (ICCCNT, 2023)

A Dataset of Relighted 3D Interacting Hands. - Gyeongsik Moon; Shunsuke Saito; Weipeng Xu; Rohan Joshi; Julia Buffalini; Harley Bellan; Nicholas Rosen; Jesse Richardson; Mallorie Mize; Philippe de Bree; Tomas Simon; Bo Peng; et al. (NeurIPS, 2023)

Contextual Data Augmentation for Task-Oriented Dialog Systems. - Dustin Axman; Avik Ray; Shubham Garg; Jing Huang 020 (PKDD/ECML Workshops (5), 2023)

Yoga pose classification: a CNN and MediaPipe inspired deep learning approach for real-world application. - Shubham Garg; Aman Saxena; Richa Gupta (J. Ambient Intell. Humaniz. Comput., 2023)

Underwater Image Enhancement using Deep Learning. - Naresh Kumar 003; Juveria Manzar; Shivani; Shubham Garg (Multim. Tools Appl., 2023)

RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation. - Hanxiao Jiang 001; Binghao Huang; Ruihai Wu; Zhuoran Li; Shubham Garg; Hooshang Nayyeri; Shenlong Wang; Yunzhu Li (CoRL, 2024)

VR-Based Mantra Meditation for Mental Wellness. - Ankita Garg; Ajoy Kumar; Shubham Garg; Laxmidhar Behera; Varun Dutt (SMC, 2024)

Tree-of-Prompts: Abstracting Control-Flow for Prompt Optimization. - Jihyuk Kim; Shubham Garg; Lahari Poddar; Seung-won Hwang; Chris Hench (ACL (Findings), 2025)

Tunable Energy-Efficient Approximate Circuits for Self-Powered AI and Autonomous Edge Computing Systems. - Shubham Garg; Kanika Monga; Nitin Chaturvedi; S. Gurunarayanan 001 (IEEE Access, 2025)

A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards. - Shivansh Patel; Xinchen Yin; Wenlong Huang; Shubham Garg; Hooshang Nayyeri; Li Fei-Fei 001; Svetlana Lazebnik; Yunzhu Li (CoRR, 2025)

Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration. - Jinjiang You; Hewei Wang 001; Yijie Li 003; Mingxiao Huo; Long Van Tran Ha; Mingyuan Ma; Jinfeng Xu 003; Puzhen Wu; Shubham Garg; Wei Pu (CoRR, 2025)

MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversations. - Vardhan Dongre; Chi Gui; Shubham Garg; Hooshang Nayyeri; Gokhan Tur; Dilek Hakkani-Tür; Vikram S. Adve (CoRR, 2025)