Improved bee colony algorithm based on knowledge strategy for digital filter design. - Zhongkai Zhao; Da Yin; Yilin Jiang (Int. J. Comput. Appl. Technol., 2013)

A DDoS Attack Detection and Mitigation With Software-Defined Internet of Things Framework. - Da Yin; Lianming Zhang; Kun Yang 001 (IEEE Access, 2018)

Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis. - Da Yin; Xiao Liu 032; Xiaojun Wan 001 (CIKM, 2019)

A Soft Label Strategy for Target-Level Sentiment Classification. - Da Yin; Xiao Liu 032; Xiuyu Wu; Baobao Chang (WASSA@NAACL-HLT, 2019)

VisualBERT: A Simple and Performant Baseline for Vision and Language. - Liunian Harold Li; Mark Yatskar; Da Yin; Cho-Jui Hsieh; Kai-Wei Chang (CoRR, 2019)

Interactive Neural Network: Leveraging Part-of-Speech Window for Aspect Term Extraction (Student Abstract). - Da Yin; Xiuyu Wu; Baobao Chang (AAAI, 2020)

What Does BERT with Vision Look At? - Liunian Harold Li; Mark Yatskar; Da Yin; Cho-Jui Hsieh; Kai-Wei Chang (ACL, 2020)

SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics. - Da Yin; Tao Meng; Kai-Wei Chang (ACL, 2020)

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. - Da Yin; Liunian Harold Li; Ziniu Hu; Nanyun Peng 001; Kai-Wei Chang (EMNLP (1), 2021)

Controllable Generation from Pre-trained Language Models via Inverse Prompting. - Xu Zou 001; Da Yin; Qingyang Zhong; Hongxia Yang; Zhilin Yang 001; Jie Tang 001 (KDD, 2021)

Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis. - Xiao Liu 032; Da Yin; Yansong Feng 002; Yuting Wu; Dongyan Zhao 001 (NAACL-HLT, 2021)

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. - Ming Zhong 005; Da Yin; Tao Yu 009; Ahmad Zaidi; Mutethia Mutuma; Rahul Jha; Ahmed Hassan Awadallah; Asli Celikyilmaz; Yang Liu 124; Xipeng Qiu; Dragomir R. Radev (NAACL-HLT, 2021)

CogView: Mastering Text-to-Image Generation via Transformers. - Ming Ding 004; Zhuoyi Yang; Wenyi Hong; Wendi Zheng; Chang Zhou; Da Yin; Junyang Lin; Xu Zou 001; Zhou Shao; Hongxia Yang; Jie Tang 001 (NeurIPS, 2021)

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. - Qinkai Zheng; Xu Zou 001; Yuxiao Dong; Yukuo Cen; Da Yin; Jiarong Xu; Yang Yang 009; Jie Tang 001 (NeurIPS Datasets and Benchmarks, 2021)

OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models. - Xiao Liu 036; Da Yin; Xingjian Zhang 009; Kai Su; Kan Wu; Hongxia Yang; Jie Tang 001 (CoRR, 2021)

Things not Written in Text: Exploring Spatial Commonsense from Visual Signals. - Xiao Liu 032; Da Yin; Yansong Feng 002; Dongyan Zhao 001 (ACL (1), 2022)

How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? - Hritik Bansal; Da Yin; Masoud Monajatipoor; Kai-Wei Chang (EMNLP, 2022)

GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. - Da Yin; Hritik Bansal; Masoud Monajatipoor; Liunian Harold Li; Kai-Wei Chang (EMNLP, 2022)

Towards a Unified Multi-Dimensional Evaluator for Text Generation. - Ming Zhong 005; Yang Liu 005; Da Yin; Yuning Mao; Yizhu Jiao; Pengfei Liu 003; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (EMNLP, 2022)

OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services. - Xiao Liu 036; Da Yin; Jingnan Zheng; Xingjian Zhang 009; Peng Zhang 077; Hongxia Yang; Yuxiao Dong; Jie Tang 001 (KDD, 2022)

A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models. - Da Yin; Li Dong 004; Hao Cheng 002; Xiaodong Liu 003; Kai-Wei Chang; Furu Wei; Jianfeng Gao 001 (CoRR, 2022)

Towards a Unified Multi-Dimensional Evaluator for Text Generation. - Ming Zhong 005; Yang Liu 124; Da Yin; Yuning Mao; Yizhu Jiao; Pengfei Liu 003; Chenguang Zhu 001; Heng Ji 001; Jiawei Han 001 (CoRR, 2022)

The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code. - Xiao Liu 032; Da Yin; Chen Zhang 019; Yansong Feng 002; Dongyan Zhao 001 (ACL (Findings), 2023)

GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods. - Da Yin; Feng Gao; Govind Thattai; Michael Johnston; Kai-Wei Chang (CVPR, 2023)

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. - Da Yin; Xiao Liu; Fan Yin; Ming Zhong 005; Hritik Bansal; Jiawei Han 001; Kai-Wei Chang (EMNLP, 2023)

KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems. - Di Wu 054; Da Yin; Kai-Wei Chang (CoRR, 2023)

Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts. - Christina Chance; Da Yin; Dakuo Wang; Kai-Wei Chang (CoRR, 2023)

Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs. - Da Yin; Faeze Brahman; Abhilasha Ravichander; Khyathi Raghavi Chandu; Kai-Wei Chang; Yejin Choi 001; Bill Yuchen Lin (CoRR, 2023)

MRT: Tracing the Evolution of Scientific Publications. - Da Yin; Weng Lam Tam; Ming Ding 004; Jie Tang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Predictive value of machine learning algorithm of coronary artery calcium score and clinical factors for obstructive coronary artery disease in hypertensive patients. - Minxian Wang; Mengting Sun; Yao Yu; Xinsheng Li; Yongkui Ren; Da Yin (BMC Medical Informatics Decis. Mak., 2023)

Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents. - Yifan Song 002; Da Yin; Xiang Yue; Jie Huang; Sujian Li; Bill Yuchen Lin (ACL (1), 2024)

KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation. - Di Wu; Da Yin; Kai-Wei Chang (ACL (Findings), 2024)

Agent Lumos: Unified and Modular Training for Open-Source Language Agents. - Da Yin; Faeze Brahman; Abhilasha Ravichander; Khyathi Raghavi Chandu; Kai-Wei Chang; Yejin Choi 001; Bill Yuchen Lin (ACL (1), 2024)

MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. - Ansel Blume; Khanh Duy Nguyen; Zhenhailong Wang; Yangyi Chen; Michal Shlapentokh-Rothman; Xiaomeng Jin; Jeonghwan Kim; Zhen Zhu 006; Jiateng Liu; Kuan-Hao Huang; Mankeerat Sidhu; Xuanming Zhang; et al. (ACM Multimedia, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (NeurIPS, 2024)

SafeWorld: Geo-Diverse Safety Alignment. - Da Yin; Haoyi Qiu; Kung-Hsiang Huang; Kai-Wei Chang; Nanyun Peng 001 (NeurIPS, 2024)

Algorithm for Three-Dimensional Detection of Pedestrians in Monocular Roadside View. - Hua Cui; Da Yin; Wei Wang 026; Liugang Xi; Yue Xu (CIS-RAM, 2024)

3D Vehicle Detection From Roadside Monocular View Based on Improved CenterNet. - Wei Wang 026; Liugang Xi; Hua Cui; Da Yin; Lan Jingbo (CIS-RAM, 2024)

PST-Bench: Tracing and Benchmarking the Source of Publications. - Fanjin Zhang; Kun Cao; Yukuo Cen; Jifan Yu; Da Yin; Jie Tang 001 (CoRR, 2024)

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. - Aohan Zeng; Bin Xu 001; Bowen Wang; Chenhui Zhang; Da Yin; Diego Rojas; Guanyu Feng; Hanlin Zhao; Hanyu Lai; Hao Yu; Hongning Wang; Jiadai Sun; et al. (CoRR, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (CoRR, 2024)

OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation. - Zilong Wang 002; Yuedong Cui; Li Zhong; Zimin Zhang; Da Yin; Bill Yuchen Lin; Jingbo Shang (CoRR, 2024)

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer. - Zhuoyi Yang; Jiayan Teng; Wendi Zheng; Ming Ding 004; Shiyu Huang 001; Jiazheng Xu; Yuanming Yang; Wenyi Hong; Xiaohan Zhang; Guanyu Feng; Da Yin; Xiaotao Gu; et al. (CoRR, 2024)

CogVLM2: Visual Language Models for Image and Video Understanding. - Wenyi Hong; Weihan Wang; Ming Ding 004; Wenmeng Yu; Qingsong Lv; Yan Wang 120; Yean Cheng; Shiyu Huang 001; Junhui Ji; Zhao Xue; Lei Zhao; Zhuoyi Yang; et al. (CoRR, 2024)

Verbalized Representation Learning for Interpretable Few-Shot Generalization. - Cheng-Fu Yang; Da Yin; Wenbo Hu 006; Nanyun Peng 001; Bolei Zhou; Kai-Wei Chang (CoRR, 2024)

Bridging the Data Provenance Gap Across Text, Speech and Video. - Shayne Longpre; Nikhil Singh 003; Manuel Cherep; Kushagra Tiwary; Joanna Materzynska; William Brannon; Robert Mahari; Manan Dey; Mohammed Hamdy; Nayan Saxena; Ahmad Mustafa Anis; Emad A. Alghamdi; et al. (CoRR, 2024)

VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning. - Xueqing Wu 001; Yuheng Ding; Bingxuan Li; Pan Lu; Da Yin; Kai-Wei Chang; Nanyun Peng 001 (CVPR, 2025)

Bridging the Data Provenance Gap Across Text, Speech, and Video. - Shayne Longpre; Nikhil Singh 003; Manuel Cherep; Kushagra Tiwary; Joanna Materzynska; William Brannon; Robert Mahari; Naana Obeng-Marnu; Manan Dey; Mohammed Hamdy; Nayan Saxena; Ahmad Mustafa Anis; et al. (ICLR, 2025)

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer. - Zhuoyi Yang; Jiayan Teng; Wendi Zheng; Ming Ding 004; Shiyu Huang 001; Jiazheng Xu; Yuanming Yang; Wenyi Hong; Xiaohan Zhang; Guanyu Feng; Da Yin; Yuxuan Zhang; et al. (ICLR, 2025)

Guiding Through Complexity: What Makes Good Supervision for Hard Reasoning Tasks? - Xuan He; Da Yin; Nanyun Peng 001 (NAACL (Long Papers), 2025)

A Modified OMP for Multiple Reflection Wave Elimination in Layered Similar Media Parameter Estimation Using GPR Data. - Tian Lan 002; Shuo Zhao; Dongyan Zhao 001; Xiaopeng Yang; Da Yin; Yemen Yin; Chenghao Wang; Junchao Wang (IEEE Trans. Geosci. Remote. Sens., 2025)

QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search. - Zongyu Lin; Yao Tang; Xingcheng Yao; Da Yin; Ziniu Hu; Yizhou Sun; Kai-Wei Chang (CoRR, 2025)

RefTool: Enhancing Model Reasoning with Reference-Guided Tool Creation. - Xiao Liu; Da Yin; Zirui Wu; Yansong Feng (CoRR, 2025)

Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence. - Yining Hong; Rui Sun; Bingxuan Li; Xingcheng Yao; Maxine Wu; Alexander Chien; Da Yin; Ying Nian Wu; Zhecan James Wang; Kai-Wei Chang (CoRR, 2025)

GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning. - Wenyi Hong; Wenmeng Yu; Xiaotao Gu; Guo Wang; Guobing Gan; Haomiao Tang; Jiale Cheng; Ji Qi 003; Junhui Ji; Lihang Pan; Shuaiqi Duan; Weihan Wang; et al. (CoRR, 2025)

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models. - Aohan Zeng; Xin Lv; Qinkai Zheng; Zhenyu Hou; Bin Chen; Chengxing Xie; Cunxiang Wang; Da Yin; Hao Zeng; Jiajie Zhang; Kedong Wang; Lucen Zhong; et al. (CoRR, 2025)