A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks. - Soujanya Poria; Erik Cambria; Devamanyu Hazarika; Prateek Vij (COLING, 2016)

Context-Dependent Sentiment Analysis in User-Generated Videos. - Soujanya Poria; Erik Cambria; Devamanyu Hazarika; Navonil Majumder; Amir Zadeh 001; Louis-Philippe Morency (ACL (1), 2017)

Benchmarking Multimodal Sentiment Analysis. - Erik Cambria; Devamanyu Hazarika; Soujanya Poria; Amir Hussain 001; R. B. V. Subramanyam (CICLing (2), 2017)

Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) for Brain Matter Segmentation. - Amarjot Singh; Devamanyu Hazarika; Aniruddha Bhattacharya (ICCV Workshops, 2017)

Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis. - Soujanya Poria; Erik Cambria; Devamanyu Hazarika; Navonil Majumder; Amir Zadeh 001; Louis-Philippe Morency (ICDM, 2017)

Recent Trends in Deep Learning Based Natural Language Processing. - Tom Young; Devamanyu Hazarika; Soujanya Poria; Erik Cambria (CoRR, 2017)

SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings. - Erik Cambria; Soujanya Poria; Devamanyu Hazarika; Kenneth Kwok (AAAI, 2018)

Aspect-Sentiment Embeddings for Company Profiling and Employee Opinion Mining. - Rajiv Bajpai; Devamanyu Hazarika; Kunal Singh; Sruthi Gorantla; Erik Cambria; Roger Zimmermann (CICLing (2), 2018)

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums. - Devamanyu Hazarika; Soujanya Poria; Sruthi Gorantla; Erik Cambria; Roger Zimmermann; Rada Mihalcea (COLING, 2018)

ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection. - Devamanyu Hazarika; Soujanya Poria; Rada Mihalcea; Erik Cambria; Roger Zimmermann (EMNLP, 2018)

Self-Attentive Feature-Level Fusion for Multimodal Emotion Detection. - Devamanyu Hazarika; Sruthi Gorantla; Soujanya Poria; Roger Zimmermann (MIPR, 2018)

Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. - Devamanyu Hazarika; Soujanya Poria; Prateek Vij; Gangeshwar Krishnamurthy; Erik Cambria; Roger Zimmermann (NAACL-HLT (2), 2018)

Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos. - Devamanyu Hazarika; Soujanya Poria; Amir Zadeh 001; Erik Cambria; Louis-Philippe Morency; Roger Zimmermann (NAACL-HLT, 2018)

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]. - Tom Young; Devamanyu Hazarika; Soujanya Poria; Erik Cambria (IEEE Comput. Intell. Mag., 2018)

Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines. - Soujanya Poria; Navonil Majumder; Devamanyu Hazarika; Erik Cambria; Alexander F. Gelbukh; Amir Hussain 001 (IEEE Intell. Syst., 2018)

Multimodal sentiment analysis using hierarchical fusion with context modeling. - Navonil Majumder; Devamanyu Hazarika; Alexander F. Gelbukh; Erik Cambria; Soujanya Poria (Knowl. Based Syst., 2018)

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. - Navonil Majumder; Soujanya Poria; Devamanyu Hazarika; Rada Mihalcea; Alexander F. Gelbukh; Erik Cambria (AAAI, 2019)

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper). - Santiago Castro; Devamanyu Hazarika; Verónica Pérez-Rosas; Roger Zimmermann; Rada Mihalcea; Soujanya Poria (ACL (1), 2019)

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. - Soujanya Poria; Devamanyu Hazarika; Navonil Majumder; Gautam Naik; Erik Cambria; Rada Mihalcea (ACL (1), 2019)

Multi-task Learning for Detecting Stance in Tweets. - Devamanyu Hazarika; Gangeshwar Krishnamurthy; Soujanya Poria; Roger Zimmermann (CICLing (2), 2019)

Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling. - Devamanyu Hazarika; Soujanya Poria; Roger Zimmermann; Rada Mihalcea (CoRR, 2019)

KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis. - Deepanway Ghosal; Devamanyu Hazarika; Abhinaba Roy; Navonil Majumder; Rada Mihalcea; Soujanya Poria (ACL, 2020)

Methods for Numeracy-Preserving Word Embeddings. - Dhanasekar Sundararaman; Shijing Si; Vivek Subramanian; Guoyin Wang 002; Devamanyu Hazarika; Lawrence Carin (EMNLP (1), 2020)

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis. - Devamanyu Hazarika; Roger Zimmermann; Soujanya Poria (ACM Multimedia, 2020)

Emerging Trends of Multimodal Research in Vision and Language. - Shagun Uppal; Sarthak Bhagat; Devamanyu Hazarika; Navonil Majumder; Soujanya Poria; Roger Zimmermann; Amir Zadeh 001 (CoRR, 2020)

Recognizing Emotion Cause in Conversations. - Soujanya Poria; Navonil Majumder; Devamanyu Hazarika; Deepanway Ghosal; Rishabh Bhardwaj; Samson Yu Bai Jian; Romila Ghosh; Niyati Chhaya; Alexander F. Gelbukh; Rada Mihalcea (CoRR, 2020)

Domain Divergences: A Survey and Empirical Analysis. - Abhinav Ramesh Kashyap; Devamanyu Hazarika; Min-Yen Kan; Roger Zimmermann (NAACL-HLT, 2021)

Recognizing Emotion Cause in Conversations. - Soujanya Poria; Navonil Majumder; Devamanyu Hazarika; Deepanway Ghosal; Rishabh Bhardwaj; Samson Yu Bai Jian; Pengfei Hong; Romila Ghosh; Abhinaba Roy; Niyati Chhaya; Alexander F. Gelbukh; Rada Mihalcea (Cogn. Comput., 2021)

Zero-Shot Controlled Generation with Encoder-Decoder Transformers. - Devamanyu Hazarika; Mahdi Namazifar; Dilek Hakkani-Tür (CoRR, 2021)

Conversational transfer learning for emotion recognition. - Devamanyu Hazarika; Soujanya Poria; Roger Zimmermann; Rada Mihalcea (Inf. Fusion, 2021)

Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation. - Devamanyu Hazarika; Mahdi Namazifar; Dilek Hakkani-Tür (AAAI, 2022)

So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. - Abhinav Ramesh Kashyap; Devamanyu Hazarika; Min-Yen Kan; Roger Zimmermann; Soujanya Poria (ACL (1), 2022)

Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. - Yifan Chen 004; Devamanyu Hazarika; Mahdi Namazifar; Yang Liu 004; Di Jin; Dilek Hakkani-Tur (EMNLP, 2022)

Zero-Shot Visual Emotion Recognition by Exploiting BERT. - Hyunwook Kang; Devamanyu Hazarika; Dongho Kim; Jihie Kim (IntelliSys (2), 2022)

Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. - Yifan Chen 004; Devamanyu Hazarika; Mahdi Namazifar; Yang Liu 004; Di Jin; Dilek Hakkani-Tur (NAACL-HLT (Findings), 2022)

Analyzing Modality Robustness in Multimodal Sentiment Analysis. - Devamanyu Hazarika; Yingting Li; Bo Cheng 001; Shuai Zhao 001; Roger Zimmermann; Soujanya Poria (NAACL-HLT, 2022)

Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication. - Navonil Majumder; Deepanway Ghosal; Devamanyu Hazarika; Alexander F. Gelbukh; Rada Mihalcea; Soujanya Poria (IEEE Access, 2022)

Multimodal research in vision and language: A review of current and emerging trends. - Shagun Uppal; Sarthak Bhagat; Devamanyu Hazarika; Navonil Majumder; Soujanya Poria; Roger Zimmermann; Amir Zadeh 001 (Inf. Fusion, 2022)

KILM: Knowledge Injection into Encoder-Decoder Language Models. - Yan Xu 012; Mahdi Namazifar; Devamanyu Hazarika; Aishwarya Padmakumar; Yang Liu 004; Dilek Hakkani-Tür (ACL (1), 2023)

Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information. - Yen Ting Lin; Alexandros Papangelis; Seokhwan Kim; Sungjin Lee; Devamanyu Hazarika; Mahdi Namazifar; Di Jin; Yang Liu 004; Dilek Hakkani-Tur (EACL, 2023)

CESAR: Automatic Induction of Compositional Instructions for Multi-turn Dialogs. - Taha Aksu; Devamanyu Hazarika; Shikib Mehri; Seokhwan Kim; Dilek Hakkani-Tur; Yang Liu 004; Mahdi Namazifar (EMNLP, 2023)

Using In-Context Learning to Improve Dialogue Safety. - Nicholas Meade; Spandana Gella; Devamanyu Hazarika; Prakhar Gupta; Di Jin; Siva Reddy; Yang Liu 004; Dilek Hakkani-Tur (EMNLP (Findings), 2023)

Role of Bias Terms in Dot-Product Attention. - Mahdi Namazifar; Devamanyu Hazarika; Dilek Hakkani-Tür (ICASSP, 2023)

"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge. - Chao Zhao; Spandana Gella; Seokhwan Kim; Di Jin; Devamanyu Hazarika; Alexandros Papangelis; Behnam Hedayatnia; Mahdi Namazifar; Yang Liu 004; Dilek Hakkani-Tur (SIGDIAL, 2023)

Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language. - Di Jin; Shikib Mehri; Devamanyu Hazarika; Aishwarya Padmakumar; Sungjin Lee; Yang Liu; Mahdi Namazifar (CoRR, 2023)

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research. - Soujanya Poria; Devamanyu Hazarika; Navonil Majumder; Rada Mihalcea (IEEE Trans. Affect. Comput., 2023)

From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues. - Yu Li; Devamanyu Hazarika; Di Jin; Julia Hirschberg; Yang Liu 004 (EMNLP (Findings), 2024)

Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs. - Siyan Zhao; Mingyi Hong 001; Yang Liu 165; Devamanyu Hazarika; Kaixiang Lin (ICLR, 2025)