Supriyo Ghosh
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
10
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Learning Optimal Message Representations for Agentic Communication. | Shashwat Gupta, Anson Bastos, Mayukh Das, Supriyo Ghosh, Nagarajan Natarajan, Chetan Bansal, Saravan Rajmohan |
| 2025 | ACL | CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling. | Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Rahul Madhavan, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan |
| 2025 | ACL | TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. | Shivam Shandilya, Menglin Xia, Supriyo Ghosh, Huiqiang Jiang, Jue Zhang, Qianhui Wu, Victor Rhle, Saravan Rajmohan |
| 2024 | EuroSys | Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. | Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu |
| 2024 | WWW | Dependency Aware Incident Linking in Large Cloud Systems. | Supriyo Ghosh, Karish Grover, Jimmy Wong, Chetan Bansal, Rakesh Namineni, Mohit Verma, Saravan Rajmohan |
| 2023 | ICSE | Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. | Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan |
| 2023 | KDD | Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications. | Mila Nambiar, Supriyo Ghosh, Priscilla Ong, Yu En Chan, Yong Mong Bee, Pavitra Krishnaswamy |
| 2022 | AAAI | Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. | Amar Prakash Azad, Supriyo Ghosh, Ajay Gupta, Harshit Kumar, Prateeti Mohapatra, Lena Eckstein, Leonard Posner, Robert Kern |
| 2022 | CLOUD | How to fight production incidents?: an empirical study on a large-scale cloud service. | Supriyo Ghosh, Manish Shetty, Chetan Bansal, Suman Nath |
| 2022 | UAI | Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming. | Supriyo Ghosh, Laura Wynter, Shiau Hong Lim, Duc Thien Nguyen |
| 2019 | IJCAI | Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning. | Supriyo Ghosh, Jing Yu Koh, Patrick Jaillet |
| 2018 | AAAI | Dispatch Guided Allocation Optimization for Effective Emergency Response. | Supriyo Ghosh, Pradeep Varakantham |
| 2016 | IJCAI | Robust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems. | Supriyo Ghosh, Michael A. Trick, Pradeep Varakantham |
| 2015 | AAAI | Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. | Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet |
| 2015 | IJCAI | Probabilistic Inference Based Message-Passing for Resource Constrained DCOPs. | Supriyo Ghosh, Akshat Kumar, Pradeep Varakantham |
| 2015 | SoCS | Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. | Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet |