| 2026 | AAAI | 10 Open Challenges Steering the Future of Vision-Language-Action Models. | Soujanya Poria, Navonil Majumder, Chia-Yu Hung, Amir Ali Bagherzadeh, Chuan Li, Kenneth Kwok, Ziwei Wang, Cheston Tan, Jiajun Wu, David Hsu |
| 2026 | AAAI | DialogXpert: Driving Intelligent and Emotion-Aware Conversations Through Online Value-Based Reinforcement Learning with LLM Priors. | Tazeek Bin Abdur Rakib, Ambuj Mehrish, Lay-Ki Soon, Wern Han Lim, Soujanya Poria |
| 2025 | AAAI | Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone. | Rada Mihalcea, Oana Ignat, Longju Bai, Angana Borah, Luis Chiruzzo, Zhijing Jin, Claude Kwizera, Joan Nwatu, Soujanya Poria, Thamar Solorio |
| 2025 | ACL | Pixel-Level Reasoning Segmentation via Multi-turn Conversations. | Dexian Cai, Xiaocui Yang, Yongkang Liu, Daling Wang, Shi Feng, Yifei Zhang, Soujanya Poria |
| 2025 | ACL | DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models. | Ruizhe Chen, Wenhao Chai, Zhifei Yang, Xiaotian Zhang, Ziyang Wang, Tony Q. S. Quek, Joey Tianyi Zhou, Soujanya Poria, Zuozhu Liu |
| 2025 | ACL | Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided Interventions. | Pengfei Hong, Navonil Majumder, Deepanway Ghosal, Somak Aditya, Rada Mihalcea, Soujanya Poria |
| 2025 | ACL | Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning. | Qi Sun, Pengfei Hong, Pala Tej Deep, Vernon Toh, U-Xuan Tan, Deepanway Ghosal, Soujanya Poria |
| 2025 | EMNLP | Evaluating AI for Finance: Is AI Credible at Assessing Investment Risk Appetite? | Divij Chawla, Ashita Bhutada, Duc Anh Do, Abhinav Raghunathan, Vinod SP, Cathy Guo, Dar Win Liew, Prannaya Gupta, Rishabh Bhardwaj, Rajat Bhardwaj, Soujanya Poria |
| 2025 | EMNLP | M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework. | Yew Ken Chia, Liying Cheng, Hou Pong Chan, Maojia Song, Chaoqun Liu, Mahani Aljunied, Soujanya Poria, Lidong Bing |
| 2025 | EMNLP | Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision. | Pala Tej Deep, Panshul Sharma, Amir Zadeh, Chuan Li, Soujanya Poria |
| 2025 | EMNLP | Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique. | Pala Tej Deep, Vernon Toh, Rishabh Bhardwaj, Soujanya Poria |
| 2025 | EMNLP | From Grounding to Manipulation: Case Studies of Foundation Model Integration in Embodied Robotic Systems. | Xiuchao Sui, Daiying Tian, Qi Sun, Ruirui Chen, Dongkyu Choi, Kenneth Kwok, Soujanya Poria |
| 2025 | ICLR | MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses. | Zonglin Yang, Wanhao Liu, Ben Gao, Tong Xie, Yuqiang Li, Wanli Ouyang, Soujanya Poria, Erik Cambria, Dongzhan Zhou |
| 2025 | ICLR | Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse. | Maojia Song, Shang Hong Sim, Rishabh Bhardwaj, Hai Leong Chieu, Navonil Majumder, Soujanya Poria |
| 2025 | NAACL | AlgoPuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Algorithmic Multimodal Puzzles. | Deepanway Ghosal, Vernon Toh, Yew Ken Chia, Soujanya Poria |
| 2025 | NAACL | PREMISE: Matching-based Prediction for Accurate Review Recommendation. | Wei Han, Hui Chen, Soujanya Poria |
| 2025 | NAACL | Reward-Guided Tree Search for Inference Time Alignment of Large Language Models. | Chia-Yu Hung, Navonil Majumder, Ambuj Mehrish, Soujanya Poria |
| 2025 | NAACL | Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. | Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Cong Zeng, Tatsuki Kuribayashi, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin |
| 2024 | ACL | Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic. | Rishabh Bhardwaj, Do Duc Anh, Soujanya Poria |
| 2024 | ACL | PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. | Yew Ken Chia, Vernon Toh, Deepanway Ghosal, Lidong Bing, Soujanya Poria |
| 2024 | ACL | Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models. | Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria |
| 2024 | ACL | Large Language Models for Automated Open-domain Scientific Hypotheses Discovery. | Zonglin Yang, Xinya Du, Junxian Li, Jie Zheng, Soujanya Poria, Erik Cambria |
| 2024 | COLING | HYPERTTS: Parameter Efficient Adaptation in Text to Speech Using Hypernetworks. | Yingting Li, Rishabh Bhardwaj, Ambuj Mehrish, Bo Cheng, Soujanya Poria |
| 2024 | EACL | A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond. | Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria |
| 2024 | EMNLP | Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. | Yew Ken Chia, Guizhen Chen, Weiwen Xu, Anh Tuan Luu, Soujanya Poria, Lidong Bing |
| 2024 | EMNLP | WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models. | Prannaya Gupta, Le Qi Yau, Hao Han Low, I-Shiang Lee, Hugo Maximus Lim, Yu Xin Teoh, Jia Hng Koh, Dar Win Liew, Rishabh Bhardwaj, Rajat Bhardwaj, Soujanya Poria |
| 2024 | EMNLP | Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations. | Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria |
| 2024 | ICLR | Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources. | Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing |
| 2024 | NAACL | Self-Adaptive Sampling for Accurate Video Question Answering on Image Text Models. | Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria |
| 2024 | NAACL | CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models. | Xiang Li, FanBu FanBu, Ambuj Mehrish, Yingting Li, Jiale Han, Bo Cheng, Soujanya Poria |
| 2024 | NAACL | Mustango: Toward Controllable Text-to-Music Generation. | Jan Melechovsk, Zixun Guo, Deepanway Ghosal, Navonil Majumder, Dorien Herremans, Soujanya Poria |
| 2024 | NAACL | Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. | Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea |
| 2024 | WWW | Understanding, Leveraging, and Improving Large Language Models. | Soujanya Poria |
| 2024 | WWW | Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction. | Qi Sun, Kun Huang, Xiaocui Yang, Rong Tong, Kun Zhang, Soujanya Poria |
| 2023 | ACL | A Robust Information-Masking Approach for Domain Counterfactual Generation. | Pengfei Hong, Rishabh Bhardwaj, Navonil Majumder, Somak Aditya, Soujanya Poria |
| 2023 | ACL | Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction. | Qi Sun, Kun Huang, Xiaocui Yang, Pengfei Hong, Kun Zhang, Soujanya Poria |
| 2023 | ACL | Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt. | Xiaocui Yang, Shi Feng, Daling Wang, Qi Sun, Wenfang Wu, Yifei Zhang, Pengfei Hong, Soujanya Poria |
| 2023 | EACL | Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents. | Yanfei Dong, Lambert Deng, Jiazheng Zhang, Xiaodong Yu, Ting Lin, Francesco Gelli, Soujanya Poria, Wee Sun Lee |
| 2023 | EACL | UDAPTER - Efficient Domain Adaptation Using Adapters. | Bhavitvya Malik, Abhinav Ramesh Kashyap, Min-Yen Kan, Soujanya Poria |
| 2023 | EMNLP | kNN-CM: A Non-parametric Inference-Phase Adaptation of Parametric Text Classifiers. | Rishabh Bhardwaj, Yingting Li, Navonil Majumder, Bo Cheng, Soujanya Poria |
| 2023 | EMNLP | Adapter Pruning using Tropical Characterization. | Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria |
| 2023 | EMNLP | Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts. | Deepanway Ghosal, Navonil Majumder, Roy Ka-Wei Lee, Rada Mihalcea, Soujanya Poria |
| 2023 | EMNLP | LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. | Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee |
| 2023 | ICASSP | Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding. | Yingting Li, Ambuj Mehrish, Rishabh Bhardwaj, Navonil Majumder, Bo Cheng, Shuai Zhao, Amir Zadeh, Rada Mihalcea, Soujanya Poria |
| 2023 | ICASSP | Multiple Contrastive Learning for Multimodal Sentiment Analysis. | Xiaocui Yang, Shi Feng, Daling Wang, Pengfei Hong, Soujanya Poria |
| 2023 | Interspeech | ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation. | Ambuj Mehrish, Abhinav Ramesh Kashyap, Yingting Li, Navonil Majumder, Soujanya Poria |
| 2023 | Interspeech | Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding. | Yi Xuan Tan, Navonil Majumder, Soujanya Poria |
| 2022 | ACL | RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. | Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si |
| 2022 | ACL | CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues. | Deepanway Ghosal, Siqi Shen, Navonil Majumder, Rada Mihalcea, Soujanya Poria |
| 2022 | ACL | So Different Yet So Alike! Constrained Unsupervised Text Style Transfer. | Abhinav Ramesh Kashyap, Devamanyu Hazarika, Min-Yen Kan, Roger Zimmermann, Soujanya Poria |
| 2022 | ACL | Knowledge Enhanced Reflection Generation for Counseling Dialogues. | Siqi Shen, Vernica Prez-Rosas, Charles Welch, Soujanya Poria, Rada Mihalcea |
| 2022 | COLING | KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks. | Rishabh Bhardwaj, Tushar Vaidya, Soujanya Poria |
| 2022 | COLING | DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification. | Hui Chen, Wei Han, Diyi Yang, Soujanya Poria |
| 2022 | COLING | SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning. | Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing |
| 2022 | ECCV | PIP: Physical Interaction Prediction via Mental Simulation with Span Selection. | Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan |
| 2022 | EMNLP | SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training. | Hui Chen, Wei Han, Soujanya Poria |
| 2022 | EMNLP | Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding. | Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi, Soujanya Poria |
| 2022 | EMNLP | A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. | Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria |
| 2022 | EMNLP | Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering. | Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria |
| 2022 | EMNLP | MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences. | Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria |
| 2022 | NAACL | Analyzing Modality Robustness in Multimodal Sentiment Analysis. | Devamanyu Hazarika, Yingting Li, Bo Cheng, Shuai Zhao, Roger Zimmermann, Soujanya Poria |
| 2021 | ACL | More Identifiable yet Equally Performant Transformers for Text Classification. | Rishabh Bhardwaj, Navonil Majumder, Soujanya Poria, Eduard H. Hovy |
| 2021 | ACL | Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study. | Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria |
| 2021 | CIKM | Aspect Sentiment Triplet Extraction Using Reinforcement Learning. | Samson Yu Bai Jian, Tapas Nayak, Navonil Majumder, Soujanya Poria |
| 2021 | EMNLP | STaCK: Sentence Ordering with Temporal Commonsense Knowledge. | Deepanway Ghosal, Navonil Majumder, Rada Mihalcea, Soujanya Poria |
| 2021 | EMNLP | Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis. | Wei Han, Hui Chen, Soujanya Poria |
| 2021 | ICMI | M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations. | Dushyant Singh Chauhan, Gopendra Vikram Singh, Navonil Majumder, Amir Zadeh, Asif Ekbal, Pushpak Bhattacharyya, Louis-Philippe Morency, Soujanya Poria |
| 2021 | ICMI | Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis. | Wei Han, Hui Chen, Alexander F. Gelbukh, Amir Zadeh, Louis-Philippe Morency, Soujanya Poria |
| 2021 | NAACL | MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences. | Jianing Yang, Yongxin Wang, Ruitao Yi, Yuying Zhu, Azaan Rehman, Amir Zadeh, Soujanya Poria, Louis-Philippe Morency |
| 2021 | RANLP | Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering. | Tapas Nayak, Navonil Majumder, Soujanya Poria |
| 2021 | SIGIR | DOZEN: Cross-Domain Zero Shot Named Entity Recognition with Knowledge Graph. | Hoang Van Nguyen, Francesco Gelli, Soujanya Poria |
| 2021 | SIGdial | CIDER: Commonsense Inference for Dialogue Explanation and Reasoning. | Deepanway Ghosal, Pengfei Hong, Siqi Shen, Navonil Majumder, Rada Mihalcea, Soujanya Poria |
| 2020 | ACL | KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis. | Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Navonil Majumder, Rada Mihalcea, Soujanya Poria |
| 2020 | CIKM | SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis. | Erik Cambria, Yang Li, Frank Z. Xing, Soujanya Poria, Kenneth Kwok |
| 2020 | EMNLP | COSMIC: COmmonSense knowledge for eMotion Identification in Conversations. | Deepanway Ghosal, Navonil Majumder, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria |
| 2020 | EMNLP | MIME: MIMicking Emotions for Empathetic Response Generation. | Navonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu, Deepanway Ghosal, Alexander F. Gelbukh, Rada Mihalcea, Soujanya Poria |
| 2020 | EMNLP | CMU-MOSEAS: A Multimodal Language Dataset for Spanish, Portuguese, German and French. | AmirAli Bagher Zadeh, Yansheng Cao, Smon Hessner, Paul Pu Liang, Soujanya Poria, Louis-Philippe Morency |
| 2019 | AAAI | DialogueRNN: An Attentive RNN for Emotion Detection in Conversations. | Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander F. Gelbukh, Erik Cambria |
| 2019 | ACL | Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper). | Santiago Castro, Devamanyu Hazarika, Vernica Prez-Rosas, Roger Zimmermann, Rada Mihalcea, Soujanya Poria |
| 2019 | ACL | MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations. | Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, Gautam Naik, Erik Cambria, Rada Mihalcea |
| 2019 | CICLING | Multi-task Learning for Detecting Stance in Tweets. | Devamanyu Hazarika, Gangeshwar Krishnamurthy, Soujanya Poria, Roger Zimmermann |
| 2019 | CICLING | Fusing Phonetic Features and Chinese Character Representation for Sentiment Analysis. | Haiyun Peng, Soujanya Poria, Yang Li, Erik Cambria |
| 2019 | EMNLP | DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation. | Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander F. Gelbukh |
| 2019 | IJCNN | An Attention-Based Model for Learning Dynamic Interaction Networks. | Sandro Cavallari, Soujanya Poria, Erik Cambria, Vincent W. Zheng, Hongyun Cai |
| 2019 | NAACL | Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. | Md. Shad Akhtar, Dushyant Singh Chauhan, Deepanway Ghosal, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya |
| 2018 | AAAI | SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings. | Erik Cambria, Soujanya Poria, Devamanyu Hazarika, Kenneth Kwok |
| 2018 | AAAI | Memory Fusion Network for Multi-view Sequential Learning. | Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency |
| 2018 | AAAI | Multi-attention Recurrent Network for Human Communication Comprehension. | Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency |
| 2018 | ACL | Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph. | Amir Zadeh, Paul Pu Liang, Soujanya Poria, Erik Cambria, Louis-Philippe Morency |
| 2018 | CICLING | A Deep Learning Approach for Multimodal Deception Detection. | Gangeshwar Krishnamurthy, Navonil Majumder, Soujanya Poria, Erik Cambria |
| 2018 | COLING | CASCADE: Contextual Sarcasm Detection in Online Discussion Forums. | Devamanyu Hazarika, Soujanya Poria, Sruthi Gorantla, Erik Cambria, Roger Zimmermann, Rada Mihalcea |
| 2018 | EMNLP | Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. | Deepanway Ghosal, Md. Shad Akhtar, Dushyant Singh Chauhan, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya |
| 2018 | EMNLP | ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection. | Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann |
| 2018 | EMNLP | IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. | Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Md. Shad Akhtar, Erik Cambria, Asif Ekbal |
| 2018 | NAACL | Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis. | Devamanyu Hazarika, Soujanya Poria, Prateek Vij, Gangeshwar Krishnamurthy, Erik Cambria, Roger Zimmermann |
| 2018 | NAACL | Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos. | Devamanyu Hazarika, Soujanya Poria, Amir Zadeh, Erik Cambria, Louis-Philippe Morency, Roger Zimmermann |
| 2017 | ACL | Context-Dependent Sentiment Analysis in User-Generated Videos. | Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency |
| 2017 | CICLING | Benchmarking Multimodal Sentiment Analysis. | Erik Cambria, Devamanyu Hazarika, Soujanya Poria, Amir Hussain, R. B. V. Subramanyam |
| 2017 | EMNLP | Tensor Fusion Network for Multimodal Sentiment Analysis. | Amir Zadeh, Minghai Chen, Soujanya Poria, Erik Cambria, Louis-Philippe Morency |
| 2017 | ICDM | Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis. | Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Navonil Majumder, Amir Zadeh, Louis-Philippe Morency |
| 2016 | COLING | SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives. | Erik Cambria, Soujanya Poria, Rajiv Bajpai, Bjrn W. Schuller |
| 2016 | COLING | A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks. | Soujanya Poria, Erik Cambria, Devamanyu Hazarika, Prateek Vij |
| 2016 | ICDM | Bayesian Deep Convolution Belief Networks for Subjectivity Detection. | Iti Chaturvedi, Erik Cambria, Soujanya Poria, Rajiv Bajpai |
| 2016 | ICDM | Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis. | Soujanya Poria, Iti Chaturvedi, Erik Cambria, Amir Hussain |
| 2016 | IJCNN | Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis. | Soujanya Poria, Iti Chaturvedi, Erik Cambria, Federica Bisio |
| 2015 | AAAI | AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis. | Erik Cambria, Jie Fu, Federica Bisio, Soujanya Poria |
| 2015 | CICLING | The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis. | Erik Cambria, Soujanya Poria, Federica Bisio, Rajiv Bajpai, Iti Chaturvedi |
| 2015 | CICLING | Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning. | Prerna Chikersal, Soujanya Poria, Erik Cambria, Alexander F. Gelbukh, Chng Eng Siong |
| 2015 | EMNLP | Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis. | Soujanya Poria, Erik Cambria, Alexander F. Gelbukh |
| 2014 | CICLING | Dependency-Based Semantic Parsing for Concept-Level Text Analysis. | Soujanya Poria, Basant Agarwal, Alexander F. Gelbukh, Amir Hussain, Newton Howard |
| 2012 | ICDM | Enriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering. | Soujanya Poria, Alexander F. Gelbukh, Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay |
| 2012 | NLDB | A Classifier Based Approach to Emotion Lexicon Construction. | Dipankar Das, Soujanya Poria, Sivaji Bandyopadhyay |