Adversarial Self-Supervised Data-Free Distillation for Text Classification. - Xinyin Ma; Yongliang Shen 001; Gongfan Fang; Chen Chen; Chenghao Jia; Weiming Lu 001 (EMNLP (1), 2020)

SynET: Synonym Expansion using Transitivity. - Jiale Yu; Yongliang Shen 001; Xinyin Ma; Chenghao Jia; Chen Chen; Weiming Lu 001 (EMNLP (Findings), 2020)

Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network. - Zeyun Tang; Yongliang Shen 001; Xinyin Ma; Wei Xu; Jiale Yu; Weiming Lu 001 (IJCAI, 2020)

Boosting Cross-lingual Entity Alignment with Textual Embedding. - Wei Xu; Chen Chen; Chenghao Jia; Yongliang Shen 001; Xinyin Ma; Weiming Lu 001 (NLPCC (2), 2020)

Enrich cross-lingual entity links for online wikis via multi-modal semantic matching. - Weiming Lu 001; Peng Wang; Xinyin Ma; Wei Xu; Chen Chen (Inf. Process. Manag., 2020)

Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition. - Yongliang Shen 001; Xinyin Ma; Zeqi Tan; Shuai Zhang; Wen Wang 009; Weiming Lu 001 (ACL/IJCNLP (1), 2021)

MuVER: Improving First-Stage Entity Retrieval with Multi-View Entity Representations. - Xinyin Ma; Yong Jiang 001; Nguyen Bach; Tao Wang 056; Zhongqiang Huang; Fei Huang 002; Weiming Lu 001 (EMNLP (1), 2021)

A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction. - Yongliang Shen 001; Xinyin Ma; Yechun Tang; Weiming Lu 001 (WWW, 2021)

Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. - Xinyin Ma; Xinchao Wang; Gongfan Fang; Yongliang Shen 001; Weiming Lu 001 (IJCAI, 2022)

DepGraph: Towards Any Structural Pruning. - Gongfan Fang; Xinyin Ma; Mingli Song; Michael Bi Mi; Xinchao Wang (CVPR, 2023)

Structural Pruning for Diffusion Models. - Gongfan Fang; Xinyin Ma; Xinchao Wang (NeurIPS, 2023)

LLM-Pruner: On the Structural Pruning of Large Language Models. - Xinyin Ma; Gongfan Fang; Xinchao Wang (NeurIPS, 2023)

0.1% Data Makes Segment Anything Slim. - Zigeng Chen; Gongfan Fang; Xinyin Ma; Xinchao Wang (CoRR, 2023)

DeepCache: Accelerating Diffusion Models for Free. - Xinyin Ma; Gongfan Fang; Xinchao Wang (CVPR, 2024)

Isomorphic Pruning for Vision Models. - Gongfan Fang; Xinyin Ma; Michael Bi Mi; Xinchao Wang (ECCV (30), 2024)

LiteFocus: Accelerated Diffusion Inference for Long Audio Synthesis. - Zhenxiong Tan; Xinyin Ma; Gongfan Fang; Xinchao Wang (INTERSPEECH, 2024)

SlimSAM: 0.1% Data Makes Segment Anything Slim. - Zigeng Chen; Gongfan Fang; Xinyin Ma; Xinchao Wang (NeurIPS, 2024)

AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising. - Zigeng Chen; Xinyin Ma; Gongfan Fang; Zhenxiong Tan; Xinchao Wang (NeurIPS, 2024)

Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising. - Gongfan Fang; Xinyin Ma; Xinchao Wang (NeurIPS, 2024)

Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching. - Xinyin Ma; Gongfan Fang; Michael Bi Mi; Xinchao Wang (NeurIPS, 2024)

CoT-Valve: Length-Compressible Chain-of-Thought Tuning. - Xinyin Ma; Guangnian Wan; Runpeng Yu; Gongfan Fang; Xinchao Wang (ACL (1), 2025)

Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient. - Zigeng Chen; Xinyin Ma; Gongfan Fang; Xinchao Wang (CVPR, 2025)

TinyFusion: Diffusion Transformers Learned Shallow. - Gongfan Fang; Kunjun Li; Xinyin Ma; Xinchao Wang (CVPR, 2025)

Diffusion Model is Effectively Its Own Teacher. - Xinyin Ma; Runpeng Yu; Songhua Liu; Gongfan Fang; Xinchao Wang (CVPR, 2025)

Introducing Visual Perception Token into Multimodal Large Language Model. - Runpeng Yu; Xinyin Ma; Xinchao Wang (CoRR, 2025)

Efficient Reasoning Models: A Survey. - Sicheng Feng; Gongfan Fang; Xinyin Ma; Xinchao Wang (CoRR, 2025)

Thinkless: LLM Learns When to Think. - Gongfan Fang; Xinyin Ma; Xinchao Wang (CoRR, 2025)

dKV-Cache: The Cache for Diffusion Language Models. - Xinyin Ma; Runpeng Yu; Gongfan Fang; Xinchao Wang (CoRR, 2025)

Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding. - Runpeng Yu; Xinyin Ma; Xinchao Wang (CoRR, 2025)

VeriThinker: Learning to Verify Makes Reasoning Model Efficient. - Zigeng Chen; Xinyin Ma; Gongfan Fang; Ruonan Yu; Xinchao Wang (CoRR, 2025)

ConciseHint: Boosting Efficient Reasoning via Continuous Concise Hints during Generation. - Siao Tang; Xinyin Ma; Gongfan Fang; Xinchao Wang (CoRR, 2025)