Visualizing Deep Neural Networks for Text Analytics. - Shaoliang Nie; Christopher G. Healey; Kalpesh Padia; Samuel P. Leeman-Munk; Jordan Benson; Dave Caira; Saratendu Sethi; Ravi Devarajan (PacificVis, 2018)

High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks. - Zeyuan Chen 001; Shaoliang Nie; Tianfu Wu 001; Christopher G. Healey (CoRR, 2018)

Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm. - Xiuyan Ni; Yang Yu; Peng Wu; Youlin Li; Shaoliang Nie; Qichao Que; Chao Chen 012 (CIKM, 2019)

Rapid Sequence Matching for Visualization Recommender Systems. - Shaoliang Nie; Christopher G. Healey; Rada Y. Chirkova; Juan L. Reutter (Graphics Interface, 2019)

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding. - Woojeong Jin 001; Maziar Sanjabi; Shaoliang Nie; Liang Tan 005; Xiang Ren 001; Hamed Firooz (EMNLP (Findings), 2021)

Visual Analytics of Text Conversation Sentiment and Semantics. - Christopher G. Healey; Gowtham Dinakaran; Kalpesh Padia; Shaoliang Nie; J. Riley Benson; Dave Caira; Dean Shaw; Gary Catalfu; Ravi Devarajan (Comput. Graph. Forum, 2021)

Modality-specific Distillation. - Woojeong Jin 001; Maziar Sanjabi; Shaoliang Nie; Liang Tan 005; Xiang Ren 001; Hamed Firooz (CoRR, 2021)

Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. - Khalil Mrini; Shaoliang Nie; Jiatao Gu; Sinong Wang; Maziar Sanjabi; Hamed Firooz (ACL (Findings), 2022)

ER-Test: Evaluating Explanation Regularization Methods for Language Models. - Brihi Joshi; Aaron Chan; Ziyi Liu 007; Shaoliang Nie; Maziar Sanjabi; Hamed Firooz; Xiang Ren 001 (EMNLP (Findings), 2022)

UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. - Aaron Chan; Maziar Sanjabi; Lambert Mathias; Liang Tan 005; Shaoliang Nie; Xiaochang Peng; Xiang Ren 001; Hamed Firooz (ICML, 2022)

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning. - Tao Yang 033; Jinghao Deng; Xiaojun Quan; Qifan Wang 001; Shaoliang Nie (NeurIPS, 2022)

BARACK: Partially Supervised Group Robustness With Guarantees. - Nimit Sharad Sohoni; Maziar Sanjabi; Nicolas Ballas; Aditya Grover; Shaoliang Nie; Hamed Firooz; Christopher Ré (CoRR, 2022)

ER-TEST: Evaluating Explanation Regularization Methods for NLP Models. - Brihi Joshi; Aaron Chan; Ziyi Liu 007; Shaoliang Nie; Maziar Sanjabi; Hamed Firooz; Xiang Ren 001 (CoRR, 2022)

FRAME: Evaluating Simulatability Metrics for Free-Text Rationales. - Aaron Chan; Shaoliang Nie; Liang Tan 005; Xiaochang Peng; Hamed Firooz; Maziar Sanjabi; Xiang Ren 001 (CoRR, 2022)

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. - Brihi Joshi; Ziyi Liu 007; Sahana Ramnath; Aaron Chan; Zhewei Tong; Shaoliang Nie; Qifan Wang 001; Yejin Choi 001; Xiang Ren 001 (ACL (1), 2023)

MUSTIE: Multimodal Structural Transformer for Web Information Extraction. - Qifan Wang 001; Jingang Wang; Xiaojun Quan; Fuli Feng; Zenglin Xu; Shaoliang Nie; Sinong Wang; Madian Khabsa; Hamed Firooz; Dongfang Liu (ACL (1), 2023)

Generating Hashtags for Short-form Videos with Guided Signals. - Tiezheng Yu; Hanchao Yu; Davis Liang; Yuning Mao; Shaoliang Nie; Po-Yao Huang 001; Madian Khabsa; Pascale Fung; Yi-Chia Wang (ACL (1), 2023)

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. - Qifan Wang 001; Yuning Mao; Jingang Wang; Hanchao Yu; Shaoliang Nie; Sinong Wang; Fuli Feng; Lifu Huang; Xiaojun Quan; Zenglin Xu; Dongfang Liu (EMNLP, 2023)

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. - Nan Wang; Qifan Wang 001; Yi-Chia Wang; Maziar Sanjabi; Jingzhou Liu; Hamed Firooz; Hongning Wang; Shaoliang Nie (EMNLP, 2023)

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. - Taowen Wang; Yiyang Liu 003; James Liang; Junhan Zhao; Yiming Cui 002; Yuning Mao; Shaoliang Nie; Jiahao Liu; Fuli Feng; Zenglin Xu; Cheng Han 001; Lifu Huang; et al. (EMNLP, 2024)

Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms. - Fan Yao; Yiming Liao; Jingzhou Liu; Shaoliang Nie; Qifan Wang 001; Haifeng Xu; Hongning Wang (NeurIPS, 2024)

M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. - Taowen Wang; Yiyang Liu 003; James Chenhao Liang; Junhan Zhao; Yiming Cui 002; Yuning Mao; Shaoliang Nie; Jiahao Liu; Fuli Feng; Zenglin Xu; Cheng Han 001; Lifu Huang; et al. (CoRR, 2024)

The Perfect Blend: Redefining RLHF with Mixture of Judges. - Tengyu Xu; Eryk Helenowski; Karthik Abinav Sankararaman; Di Jin; Kaiyan Peng; Eric Han; Shaoliang Nie; Chen Zhu; Hejia Zhang; Wenxuan Zhou; Zhouhao Zeng; Yun He; et al. (CoRR, 2024)

On the Equivalence of Graph Convolution and Mixup. - Xiaotian Han; Hanqing Zeng; Yu Chen 022; Shaoliang Nie; Jingzhou Liu; Kanika Narang; Zahra Shakeri; Karthik Abinav Sankararaman; Song Jiang 002; Madian Khabsa; Qifan Wang 001; Xia Hu 001 (Trans. Mach. Learn. Res., 2024)

An Improved and Efficient Computational Offloading Method Based on ADMM Strategy in Cloud-Edge Collaborative Computing Environment for Resilient Industry 5.0. - Wanneng Shu; Shaoliang Nie; Wencheng Jian; Xin Ge (IEEE Trans. Consumer Electron., 2024)

AK-GPSR: An Adaptive K-Medoids-Based Greedy Perimeter Stateless Routing Algorithm for Multi-Channel Vehicular Network Communication. - Wanneng Shu; Shaoliang Nie; FengJun Hu (IEEE Trans. Intell. Transp. Syst., 2024)

Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder. - Xianjun Yang; Shaoliang Nie; Lijuan Liu; Suchin Gururangan; Ujjwal Karn; Rui Hou; Madian Khabsa; Yuning Mao (CoRR, 2025)

Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation. - Zhiyang Xu; Jiuhai Chen; Zhaojiang Lin; Xichen Pan; Lifu Huang; Tianyi Zhou 001; Madian Khabsa; Qifan Wang 001; Di Jin; Michihiro Yasunaga; Lili Yu; Xi Victoria Lin; et al. (CoRR, 2025)