Facial Emotion Recognition from Kinect Data - An Appraisal of Kinect Face Tracking Library. - Tanwi Mallick; Palash Goyal; Partha Pratim Das 001; Arun Kumar Majumdar (VISIGRAPP (4: VISAPP), 2016)

OReONet: Deep convolutional network for oil reservoir optimization. - Chung Ming Cheung; Palash Goyal; Viktor K. Prasanna; Arash Saber Tehrani (IEEE BigData, 2017)

DarkEmbed: Exploit Prediction With Neural Language Models. - Nazgol Tavabi; Palash Goyal; Mohammed Almukaynizi; Paulo Shakarian; Kristina Lerman (AAAI, 2018)

Embedding Networks with Edge Attributes. - Palash Goyal; Homa Hosseinmardi; Emilio Ferrara; Aram Galstyan (HT, 2018)

Recommending Teammates with Deep Neural Networks. - Palash Goyal; Anna Sapienza; Emilio Ferrara (HT, 2018)

Modeling Evolution of Topics in Large-Scale Temporal Text Corpora. - Elaheh Momeni; Shanika Karunasekera; Palash Goyal; Kristina Lerman (ICWSM, 2018)

Dialogue Modeling Via Hash Functions. - Sahil Garg; Guillermo A. Cecchi; Irina Rish; Shuyang Gao; Greg Ver Steeg; Sarik Ghazarian; Palash Goyal; Aram Galstyan (LaCATODA@IJCAI, 2018)

DynGEM: Deep Embedding Method for Dynamic Graphs. - Palash Goyal; Nitin Kamra; Xinran He; Yan Liu 002 (CoRR, 2018)

Discovering Signals from Web Sources to Predict Cyber Attacks. - Palash Goyal; K. S. M. Tozammel Hossain; Ashok Deb; Nazgol Tavabi; Nathan Bartley; Andrés Abeliuk; Emilio Ferrara; Kristina Lerman (CoRR, 2018)

Future Automation Engineering using Structural Graph Convolutional Neural Networks. - Jiang Wan; Blake S. Pollard; Sujit Rokka Chhetri; Palash Goyal; Mohammad Abdullah Al Faruque; Arquimedes Canedo (CoRR, 2018)

DynamicGEM: A Library for Dynamic Graph Embedding Methods. - Palash Goyal; Sujit Rokka Chhetri; Ninareh Mehrabi; Emilio Ferrara; Arquimedes Canedo (CoRR, 2018)

GEM: A Python package for graph embedding methods. - Palash Goyal; Emilio Ferrara (J. Open Source Softw., 2018)

Graph embedding techniques, applications, and performance: A survey. - Palash Goyal; Emilio Ferrara (Knowl. Based Syst., 2018)

Capturing Edge Attributes via Network Embedding. - Palash Goyal; Homa Hosseinmardi; Emilio Ferrara; Aram Galstyan (IEEE Trans. Comput. Soc. Syst., 2018)

Tracking Temporal Evolution of Graphs using Non-Timestamped Data. - Sujit Rokka Chhetri; Palash Goyal; Arquimedes Canedo (HT, 2019)

Benchmarks for Graph Embedding Evaluation. - Palash Goyal; Di Huang; Ankita Goswami; Sujit Rokka Chhetri; Arquimedes Canedo; Emilio Ferrara (CoRR, 2019)

Graph Representation Ensemble Learning. - Palash Goyal; Di Huang; Sujit Rokka Chhetri; Arquimedes Canedo; Jaya Shree; Evan Patterson (CoRR, 2019)

ArduCode: Predictive Framework for Automation Engineering. - Arquimedes Canedo; Palash Goyal; Di Huang; Amit Pandey (CoRR, 2019)

Deep Neural Networks for Optimal Team Composition. - Anna Sapienza; Palash Goyal; Emilio Ferrara (Frontiers Big Data, 2019)

Modeling Dialogues with Hashcode Representations: A Nonparametric Approach. - Sahil Garg; Irina Rish; Guillermo A. Cecchi; Palash Goyal; Sarik Ghazarian; Shuyang Gao; Greg Ver Steeg; Aram Galstyan (AAAI, 2020)

Graph Representation Ensemble Learning. - Palash Goyal; Sachin Raja; Di Huang; Sujit Rokka Chhetri; Arquimedes Canedo; Ajoy Mondal; Jaya Shree; C. V. Jawahar (ASONAM, 2020)

Cross-modal Non-linear Guided Attention and Temporal Coherence in Multi-modal Deep Video Models. - Saurabh Sahu; Palash Goyal; Shalini Ghosh; Chul Lee (ACM Multimedia, 2020)

Exploiting Temporal Coherence for Multi-modal Video Categorization. - Palash Goyal; Saurabh Sahu; Shalini Ghosh; Chul Lee (CoRR, 2020)

Cross-modal Learning for Multi-modal Video Categorization. - Palash Goyal; Saurabh Sahu; Shalini Ghosh; Chul Lee (CoRR, 2020)

Hierarchical Class-Based Curriculum Loss. - Palash Goyal; Shalini Ghosh (CoRR, 2020)

dyngraph2vec: Capturing network dynamics using dynamic graph representation learning. - Palash Goyal; Sujit Rokka Chhetri; Arquimedes Canedo (Knowl. Based Syst., 2020)

Graph embedding algorithms for attributed and temporal graphs. - Palash Goyal (SIGWEB Newsl., 2020)

Hierarchical Class-Based Curriculum Loss. - Palash Goyal; Divya Choudhary; Shalini Ghosh (IJCAI, 2021)

Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training. - Saurabh Sahu; Palash Goyal (CoRR, 2021)

Can't Fool Me: Adversarially Robust Transformer for Video Understanding. - Divya Choudhary; Palash Goyal; Saurabh Sahu (CoRR, 2021)

Pykg2vec: A Python Library for Knowledge Graph Embedding. - Shih-Yuan Yu; Sujit Rokka Chhetri; Arquimedes Canedo; Palash Goyal; Mohammad Abdullah Al Faruque (J. Mach. Learn. Res., 2021)

ArduCode: Predictive Framework for Automation Engineering. - Arquimedes Canedo; Palash Goyal; Di Huang; Amit Pandey; Gustavo Quiros Araya (IEEE Trans Autom. Sci. Eng., 2021)

Leveraging Local Temporal Information for Multimodal Scene Classification. - Saurabh Sahu; Palash Goyal (ICASSP, 2022)

Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. - Ninareh Mehrabi; Palash Goyal; Apurv Verma; Jwala Dhamala; Varun Kumar; Qian Hu; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (CoRR, 2022)

Resolving Ambiguities in Text-to-Image Generative Models. - Ninareh Mehrabi; Palash Goyal; Apurv Verma; Jwala Dhamala; Varun Kumar; Qian Hu; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (ACL (1), 2023)

Faithful Model Evaluation for Model-Based Metrics. - Qian Hu; Palash Goyal; Rahul Gupta 001 (EMNLP, 2023)

"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. - Anaelia Ovalle; Palash Goyal; Jwala Dhamala; Zachary Jaggers; Kai-Wei Chang; Aram Galstyan; Richard S. Zemel; Rahul Gupta 001 (FAccT, 2023)

Incorporating Fairness in Large Scale NLU Systems. - Rahul Gupta 001; Lisa Bauer; Kai-Wei Chang; Jwala Dhamala; Aram Galstyan; Palash Goyal; Qian Hu; Avni Khatri; Rohit Parimi; Charith Peris; Apurv Verma; Richard S. Zemel; et al. (WSDM, 2023)

JAB: Joint Adversarial Prompting and Belief Augmentation. - Ninareh Mehrabi; Palash Goyal; Anil Ramakrishna; Jwala Dhamala; Shalini Ghosh; Richard S. Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001 (CoRR, 2023)

Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. - Anaelia Ovalle; Ninareh Mehrabi; Palash Goyal; Jwala Dhamala; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Rahul Gupta 001 (CoRR, 2023)

Editorial: Deep learning with limited labeled data for vision, audio, and text. - Marko Orescanin; Leslie N. Smith; Saurabh Sahu; Palash Goyal; Sujit Rokka Chhetri (Frontiers Artif. Intell., 2023)

FLIRT: Feedback Loop In-context Red Teaming. - Ninareh Mehrabi; Palash Goyal; Christophe Dupuy; Qian Hu; Shalini Ghosh; Richard S. Zemel; Kai-Wei Chang; Aram Galstyan; Rahul Gupta 001 (EMNLP, 2024)

Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. - Tao Meng; Ninareh Mehrabi; Palash Goyal; Anil Ramakrishna; Aram Galstyan; Richard S. Zemel; Kai-Wei Chang; Rahul Gupta 001; Charith Peris (EMNLP (Findings), 2024)

Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. - Fei Wang 060; Ninareh Mehrabi; Palash Goyal; Rahul Gupta 001; Kai-Wei Chang; Aram Galstyan (EMNLP, 2024)

The steerability of large language models toward data-driven personas. - Junyi Li; Charith Peris; Ninareh Mehrabi; Palash Goyal; Kai-Wei Chang; Aram Galstyan; Richard S. Zemel; Rahul Gupta 001 (NAACL-HLT, 2024)

Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. - Anaelia Ovalle; Ninareh Mehrabi; Palash Goyal; Jwala Dhamala; Kai-Wei Chang; Richard S. Zemel; Aram Galstyan; Yuval Pinter; Rahul Gupta 001 (NAACL-HLT (Findings), 2024)

MICo: Preventative Detoxification of Large Language Models through Inhibition Control. - Roy Siegelmann; Ninareh Mehrabi; Palash Goyal; Prasoon Goyal; Lisa Bauer; Jwala Dhamala; Aram Galstyan; Rahul Gupta 001; Reza Ghanadan (NAACL-HLT (Findings), 2024)

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems. - Shangbin Feng; Zifeng Wang 002; Palash Goyal; Yike Wang 002; Weijia Shi; Huang Xia; Hamid Palangi; Luke Zettlemoyer; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2025)

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving. - Mihir Parmar; Xin Liu; Palash Goyal; Yanfei Chen; Long T. Le; Swaroop Mishra; Hossein Mobahi; Jindong Gu; Zifeng Wang 002; Hootan Nakhost; Chitta Baral; Chen-Yu Lee; et al. (CoRR, 2025)

PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving. - Mihir Parmar; Palash Goyal; Xin Liu; Yiwen Song; Mingyang Ling; Chitta Baral; Hamid Palangi; Tomas Pfister (CoRR, 2025)