Balaji Vasan Srinivasan

Principal Scientist

Bangalore

Balaji is a Principal Scientist at Adobe Research, India. His current research interests span the areas of natural language generation and multimodal content synthesis towards automating enterprise authoring workflows. In the past, he has worked on problems in text mining, social data analytics, high performance computing, scalable machine learning and speaker recognition.

Current Research

Multimodal Content Synthesis: The experience that is consumed in various digital media involves multiple content modalities. In this line of work, the key focus is on understanding the impact of different modalities in conveying  a target information and utilizing the understanding to synthesize appropriate multimodal content combination to deliver the right experience for the target medium and user need. While existing research are often limited to a single modality, this research aims to look at the combinations of different modalities and the challenges that ensues.

Tailored Natural Language Generation: There has been a growing interest in language modelling for several downstream application. Here, the key focus is to generate text that is tailored (both informationally and stylistically) to various enterprise needs. Existing works rely on the availability of parallel corpus for training end-to-end models for such task. However, our research tries to explore low resource scenarios to enable scaling of these models to enterprise settings where parallel data may not be readily available.

Causal Impacts of Content on Consumption: Enterprise content are often written to achieve certain business goals. Here, the focus is to get a holistic understanding of how a content’s information and style impacts its business goals. Our research explores causal modelling to bridge the content’s performances to its presentation, to empower marketers and copywriters towards creating impactful content.

Explainability & Interpretability in Generation: A key towards reliable adoption of automatic workflows is for the models to become more explainable and interpretable. While a large focus in NLP is to use attention (and/or other mid-layer representations) to be interpretable, they are limited to text classification and natural language inference tasks. Our research here focuses on exploring ways to make neural generation more explainable and interpretable.

Professional Services

Organizing Committee: Proceedings Co-Chair: 8th ACM IKDD Conference on Data Science, 2021; Tutorial Track Co-Chair: 7th ACM IKDD Conference on Data Science, 2020; Industry Track Co-Chair: 4th ACM IKDD Conference on Data Science, 2017; Demo & Exhibits Co-Chair: 9th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2017; Data Challenge Co-Chair: 3rd ACM IKDD Conference on Data Science, 2016; Proceedings Co-Chair: 2nd ACM IKDD Conference on Data Science, 2015

Reviewer & Program Committee Member: Part of PC at multiple conferences in space of Computational Linguistics, Natural Language Processing, Machine Learning and Artificial Intelligence including AAAI, IJCAI, ACL, EMNLP, NAACL, INLG. Reviewed papers at multiple Journals including IEEE Transactions on Language Speech and Audio Processing, , IEEE Transactions on Neural Networks, IEEE Transactions on Information Forensics and Security, International Journal of High Performance Computing, Journal of Ambient Intelligence and Humanized Computing

Education & Experience

Balaji completed his Ph.D. in computer science at the University of Maryland in September 2011. His thesis was on Scalable Learning Methods for Speaker Recognition and Geostatistics. He completed his M.S. in electrical engineering from University of Maryland in 2008 and B.E. in electrical engineering from Anna University (India) in 2006.

His work experience includes research internships at National Institutes of Health, Bethesda, MD (May – Aug 2007) and Xerox Research Center, Webster, NY (May – Aug 2011).

Publications

Incorporating Stylistic Lexical Preferences in Generative Language Models

Singh, H., Verma, G., Srinivasan, B. (Nov. 18, 2020)

EMNLP Findings 2020

Towards Transparent and Explainable Attention Models

Kumar, A., Nema, P., Narasimhan, S., Khapra, M., Srinivasan, B., Ravindran, B. (Jul. 5, 2020)

Annual Conference of the Association for Computational Linguistics (ACL)

Modeling Causal Impact of Textual Style on a Targeted Goal

Verma, G., Srinivasan, B., Saini, S., Chhaya, N. (Apr. 20, 2020)

The Web Conference (WebConf) - Poster

Reinforced Rewards Framework for Text Style Transfer

Sancheti, A., Krishna, K., Natarajan, A., Srinivasan, B. (Apr. 14, 2020)

European Conference on Information Retrieval (ECIR)

Generating Need-Adapted Multimodal Fragments

Verma, G., BV, S., Sharma, S., Srinivasan, B. (Mar. 17, 2020)

ACM Conference on Intelligent User Interfaces (ACM IUI)

Adapting Language Models for Non-Parallel Author-Stylized Rewriting

Syed, B., Verma, G., Srinivasan, B., Natarajan, A., Varma, V. (Feb. 7, 2020)

34th AAAI Conference on Artificial Intelligence

Let’s Ask Again: Refine Network for Automatic Question Generation

Nema, P., Kumar, A., Khapra, M., Srinivasan, B., Ravindran, B. (Nov. 7, 2019)

Conference on Empirical Methods in Natural Language Processing (EMNLP)

Generating Formality-tuned Summaries Using Token-based Rewards

Chawla, K., Srinivasan, B., Chhaya, N. (Nov. 4, 2019)

SIGNLL Conference on Computational Natural Language Learning (CONLL)

Helium @ CL-SciSumm-19: Transfer learning for effective scientific research comprehension

Syed, B., Indurthi, V., Srinivasan, B., Varma, V. (Jul. 25, 2019)

Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) at the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

Generating summaries tailored to target characteristics

Chawla, K., Singh, H., Pramanik, A., Kumar, M., Srinivasan, B. (Apr. 9, 2019)

20th International Conference on Intelligent Text Processing and Computational Linguistics

Content-based Layout Optimization

Srinivasan, B., Vinay, V., Chhaya, N. (Mar. 20, 2019)

ACM IUI Workshop on Exploratory Search and Interactive Data Analytics

Exemplar based Experience Transfer

Maheshwari, P., Bansal, N., Dwivedi, S., Kumar, R., Maneriker, P., Srinivasan, B. (Mar. 17, 2019)

24th ACM International Conference on Intelligent User Interfaces (IUI 2019)

Metrics based Content Layouting

Srinivasan, B., Vinay, V., Chhaya, N. (Mar. 17, 2019)

24th ACM International Conference on Intelligent User Interfaces (IUI Poster)

Improving generation quality of pointer networks via guided attention

Chawla, K., Krishna, K., Srinivasan, B. (Jan. 28, 2019)

AAAI Workshop on Network Interpretability for Deep Learning

When science journalism meets artificial intelligence : An interactive demonstration

Vadapalli, R., Syed, B., Prabhu, N., Srinivasan, B., Varma, V. (Oct. 31, 2018)

Conference on Empirical Methods in Natural Language Processing (EMNLP) demo track

Sci-Blogger: A step towards automated science journalism

Vadapalli, R., Syed, B., Prabhu, N., Srinivasan, B., Varma, V. (Oct. 22, 2018)

27th ACM International Conference on Information and Knowledge Management (CIKM)

Corpus-based Content Construction

Srinivasan, B., Maneriker, P., Krishna, K., Modani, N. (Aug. 20, 2018)

27th International Conference on Computational Linguistics

Vocabulary-tailored summary generation

Krishna, K., Murherkar, A., Sharma, S., Srinivasan, B. (Aug. 20, 2018)

27th International Conference on Computational Linguistics (COLING)

Generating topic-oriented summaries using neural attention

Krishna, K., Srinivasan, B. (Jun. 6, 2018)

16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

Harvesting Knowledge from Cultural Heritage Artifacts in Museums of India

Sancheti, A., Maheshwari, P., Chaturvedi, R., Monsy, A., Goyal, T., Srinivasan, B. (Jun. 3, 2018)

22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018)

Usage Based Tag Enhancement of Images

Srinivasan, B., Sheikh, N., Kumar, R., Verma, S., Ganguly, N. (May. 26, 2017)

21st Pacific-Asia Conference on Knowledge Discovery and Data Mining

Preventing Inadvertent Information Disclosures via Automatic Security Policies

Goyal, T., Mehta, S., Srinivasan, B. (May. 26, 2017)

21st Pacific-Asia Conference on Knowledge Discovery and Data Mining

Corpus-based Automatic Text Expansion

Srinivasan, B., Roy, R., Jhamtani, H., Modani, N., Chhaya, N. (Apr. 17, 2017)

18th International Conference on Intelligent Text Processing and Computational Linguistics

Modelling End of Online Session from Streaming Data

Sinha, M., Jhamtani, H., Mehta, S., Srinivasan, B. (Mar. 9, 2017)

ACM iKDD Conference on Data Science

Generating Multiple Diverse Summaries

Modani, N., Srinivasan, B., Jhamtani, H. (Nov. 9, 2016)

17th International Conference on Web Information Systems Engineering

Smart filters for social retrieval

Srinivasan, B., Goyal, T., Nainani, N., Sreenivasan, K. (Mar. 13, 2016)

ACM IKDD Conference on Data Science

Environment Specific Content Rendering & Transformation

Srinivasan, B., Goyal, T., Singh, S., Syal, V., Sharma, V. (Mar. 8, 2016)

ACM Intelligent User Interfaces (Poster)

Banzhaf Index for Influence Maximization

Srinivasan, B., Kumar, A. (Dec. 9, 2015)

The 7th International Conference on Social Informatics

Community Reaction – From Blogs to Facebook

Srinivasan, B., Natarajan, A., Sinha, R., Sinha, M. (Mar. 18, 2015)

ACM iKDD Conference on Data Science

Stemming the flow of information in a social network

Srinivasan, B., Kumar, A., Gupta, S., Gupta, K. (Nov. 10, 2014)

The 6th International Conference on Social Informatics

Topic-based Targeted Influence Maximization

Srinivasan, B., Natarajan, A., Dalal, A., Yenugula, M., Srikanthan, P., Layek, A. (Jan. 10, 2014)

Workshop on Social Networks – Science and Engineering, COMSNETS

Preconditioned Krylov solvers for kernel regression

Srinivasan, B., Hu, Q., Gumerov, N., Murtugudde, R., Duraiswami, R. (Dec. 9, 2013)

Workshop on Large Scale Matrix Analysis and Inference at Neural Information Processing Systems (NIPS)

Will your Facebook post be engaging?

Srinivasan, B., Natarajan, A., Sinha, R., Gupta, V., Revankar, S., Ravindran, B. (Nov. 1, 2013)

Workshop on User Engagement Optimization at ACM International Conference on Information and Knowledge Management

A symmetric kernel partial least squares framework for speaker recognition

Srinivasan, B., Luo, Y., Garcia-Romero, D., Zotkin, D., Duraiswami, R. (Mar. 20, 2013)

IEEE Transactions on Audio, Speech and Language Processing

UMD-JHU 2011 Speaker Recognition System

Garcia-Romero, D., Zhou, X., Zotkin, D., Srinivasan, B., Luo, Y., Ganapathy, S., Thomas, S., Nemala, S., Sivaram, G., Mirbagheri, M., Mallidi, S., Janu, T., Rajan, P., Mesgarani, N., Elhilali, M., Hermansy, H., Shamma, S., Duraiswami, R. (Mar. 25, 2012)

37th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Domain-specific adaptation of a partial least squares regression model for loan defaults prediction

Srinivasan, B., Gnanasambandam, N., Zhao, S., Minhas, R. (Dec. 11, 2011)

5th International Workshop on Domain Driven Data Mining (DDDM) at the International Conference on Data Mining (ICDM)

Kernelized Renyi distance for subset selection and similarity scoring

Srinivasan, B., Duraiswami, R. (Oct. 12, 2011)

CS-TR-4994, University of Maryland, College Park, MD

Scalable learning for geostatistics and speaker recognition

Srinivasan, B. (Sep. 15, 2011)

PhD Thesis, University of Maryland, College Park

Kernel partial least squares framework for speaker recognition

Srinivasan, B., Garcia-Romero, D., Zotkin, D., Duraiswami, R. (Aug. 27, 2011)

12th Annual Conference of the International Speech Communication Association (INTERSPEECH)

A partial least squares framework for speaker recognition

Srinivasan, B., Zotkin, D., Duraiswami, R. (May. 22, 2011)

36th IEEE International Conference on Acoustics, Speech and Signal Processing

Partial least squares based speaker recognition system

Srinivasan, B., Zotkin, D., Duraiswami, R. (Apr. 13, 2011)

Snowbird Learning Workshop

Partial least squares on graphical processor for efficient pattern recognition

Srinivasan, B., Schwartz, W., Duraiswami, R., Davis, L. (Oct. 18, 2010)

In CS-TR-4968, University of Maryland, College Park, MD

Random sampling for estimating the performance of fast summations

Srinivasan, B., Duraiswami, R. (Oct. 18, 2010)

In CS-TR-4969, University of Maryland, College Park, MD

GPUML: Graphical processors for speeding up kernel machines

Srinivasan, B., Qi, H., Duraiswami, R. (May. 1, 2010)

Workshop on High Performance Analytics - Algorithms, Implementations, and Applications in Siam Conference on Data Mining

Fast matrix-vector product based FGMRES for kernel machines

Srinivasan, B., Duraiswami, R., Gumerov, N. (Apr. 4, 2010)

11th Copper Mount Conference on Iterative Methods

Kernelized Rényi distance for speaker recognition

Srinivasan, B., Duraiswami, R., Zotkin, D. (Mar. 14, 2010)

35th International Conference on Acoustics, Speech and Signal Processing

Efficient kriging for real-time spatio-temporal interpolation

Srinivasan, B., Duraiswami, R., Murtugudde, R. (Jan. 18, 2010)

20th Conference on Probability and Statistics in the Atmospheric Sciences

Scaling kernel machine learning algorithm via the use of GPUs

Srinivasan, B., Duraiswami, R. (Oct. 1, 2009)

In GPU Technology Conference, NVIDIA Research Summit, San Jose, CA

Efficient subset selection via the kernelized Rényi distance

Srinivasan, B., Duraiswami, R. (Sep. 27, 2009)

12th IEEE International Conference on Computer Vision

Automatic online tuning for fast Gaussian summation

Morariu, V., Srinivasan, B., Raykar, V., Duraiswami, R., Davis, L. (Dec. 8, 2008)

22nd Annual Conference on Neural Information Processing Systems (NIPS)

Gaussian Process Regression for Model Estimation

Srinivasan, B. (Nov. 21, 2008)

Masters Thesis, University of Maryland, College Park, MD

Exploring use of images in clinical articles for decision support in Evidence-Based Medicine

Antani, S., Demner-Fushman, D., Li, J., Srinivasan, B., Thoma, G. (Jan. 27, 2008)

SPIE Electronic Imaging: Document Recognition and Retrieval

News