Adversarial Ranking for Language Generation. - Kevin Lin; Dianqi Li; Xiaodong He 001; Ming-Ting Sun; Zhengyou Zhang (NIPS, 2017)

Improving Power Line Detection Based on Phase Difference in Radar Image. - Dianqi Li; Haoming Chen; Darren S. Goshi; Ming-Ting Sun (APSIPA, 2018)

Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning. - Dianqi Li; Qiuyuan Huang; Xiaodong He 001; Lei Zhang 001; Ming-Ting Sun (CoRR, 2018)

Domain Adaptive Text Style Transfer. - Dianqi Li; Yizhe Zhang 002; Zhe Gan; Yu Cheng 001; Chris Brockett; Bill Dolan; Ming-Ting Sun (EMNLP/IJCNLP (1), 2019)

A Mixture of h - 1 Heads is Better than h Heads. - Hao Peng 009; Roy Schwartz 001; Dianqi Li; Noah A. Smith (ACL, 2020)

Contextual Text Style Transfer. - Yu Cheng 001; Zhe Gan; Yizhe Zhang 002; Oussama Elachqar; Dianqi Li; Jingjing Liu 001 (EMNLP (Findings), 2020)

Toward Interpretability of Dual-Encoder Models for Dialogue Response Suggestions. - Yitong Li; Dianqi Li; Sushant Prakash; Peng Wang 005 (CoRR, 2020)

Contextualized Perturbation for Textual Adversarial Attack. - Dianqi Li; Yizhe Zhang 002; Hao Peng 009; Liqun Chen 001; Chris Brockett; Ming-Ting Sun; Bill Dolan (NAACL-HLT, 2021)

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. - Yu Cao 014; Dianqi Li; Meng Fang; Tianyi Zhou 001; Jun Gao; Yibing Zhan; Dacheng Tao (EMNLP, 2022)

Phrase-level Textual Adversarial Attack with Label Preservation. - Yibin Lei; Yu Cao 014; Dianqi Li; Tianyi Zhou 001; Meng Fang; Mykola Pechenizkiy (NAACL-HLT (Findings), 2022)

AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. - Xiyang Wu; Tianrui Guan; Dianqi Li; Shuaiyi Huang; Xiaoyu Liu 003; Xijun Wang 002; Ruiqi Xian; Abhinav Shrivastava; Furong Huang; Jordan L. Boyd-Graber; Tianyi Zhou 001; Dinesh Manocha (EMNLP (Findings), 2024)

Residual Stress and Distortion Prediction for Laser Directed Energy Deposition Based on Cyclic Heat Transfer Model. - Yuanxin Chai; Dianqi Li; Liguo Miao; Jinghu Tang; Fei Xing (IEEE Access, 2024)

Melt Pool Width Extraction Method in Laser Directed Energy Deposition Based on Variable Step Size Erosion Model. - Yuanxin Chai; Liguo Miao; Jinghu Tang; Dianqi Li (IEEE Access, 2024)

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. - Xiaoming Shi 001; Shiyu Wang 001; Yuqi Nie; Dianqi Li; Zhou Ye 001; Qingsong Wen; Ming Jin 005 (CoRR, 2024)

Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation. - Fanqing Meng; Jiaqi Liao; Xinyu Tan; Wenqi Shao; Quanfeng Lu; Kaipeng Zhang; Yu Cheng 001; Dianqi Li; Yu Qiao 001; Ping Luo 002 (CoRR, 2024)

Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion. - Jiuhai Chen; Jianwei Yang; Haiping Wu; Dianqi Li; Jianfeng Gao 001; Tianyi Zhou 001; Bin Xiao 004 (CVPR, 2025)

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. - Xiaoming Shi; Shiyu Wang; Yuqi Nie; Dianqi Li; Zhou Ye 001; Qingsong Wen; Ming Jin (ICLR, 2025)

RuleR: Improving LLM Controllability by Rule-based Data Recycling. - Ming Li; Han Chen; Chenguang Wang; Dang Nguyen; Dianqi Li; Tianyi Zhou 001 (NAACL (Short Papers), 2025)

ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning. - Jiaqi Liao; Zhengyuan Yang; Linjie Li; Dianqi Li; Kevin Lin; Yu Cheng; Lijuan Wang (CoRR, 2025)

LangBridge: Interpreting Image as a Combination of Language Embeddings. - Jiaqi Liao; Yuwei Niu; Fanqing Meng; Hao Li 069; Changyao Tian; Yinuo Du; Yuwen Xiong; Dianqi Li; Xizhou Zhu; Li Yuan; Jifeng Dai; Yu Cheng 001 (CoRR, 2025)

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding. - Ming Li; Zhengyuan Yang; Xiyao Wang; Dianqi Li; Kevin Lin; Tianyi Zhou; Lijuan Wang (CoRR, 2025)

DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents. - Hao Li; Xiaogeng Liu; Hung-Chun Chiu; Dianqi Li; Ning Zhang; Chaowei Xiao (CoRR, 2025)