Tianmeng Yang

According to our database, Tianmeng Yang authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

KnowRL: Boosting LLM Reasoning via Reinforcement Learning with Minimal-Sufficient Knowledge Guidance.

Linhao Yu, Tianmeng Yang, Siyu Ding, Renren Jin, Naibin Gu, Xiangzhao Hao, Shuaiyi Nie, Deyi Xiong, Weichong Yin, Yu Sun, Hua Wu

CoRR, April, 2026

RTLSeek: Boosting the LLM-Based RTL Generation with Multi-Stage Diversity-Oriented Reinforcement Learning.

Xinyu Zhang, Zhiteng Chao, Yonghao Wang, Bin Sun, Tianyun Ma, Tianmeng Yang, Jianan Mu, Jing Justin Ye, Huawei Li

CoRR, March, 2026

ATTNPO: Attention-Guided Process Supervision for Efficient Reasoning.

Shuaiyi Nie, Siyu Ding, Wenyuan Zhang, Linhao Yu, Tianmeng Yang, Yao Chen, Tingwen Liu, Weichong Yin, Yu Sun, Hua Wu

CoRR, February, 2026

2025

SVBench: Evaluation of Video Generation Models on Social Reasoning.

Wenshuo Peng, Gongxuan Wang, Tianmeng Yang, Chuanhao Li, Xiaojie Xu, Hui He, Kaipeng Zhang

CoRR, December, 2025

ParaGate: Parasitic-Driven Domain Adaptation Transfer Learning for Netlist Performance Prediction.

Bin Sun, Jingyi Zhou, Jianan Mu, Zhiteng Chao, Tianmeng Yang, Ziyue Xu, Jing Ye, Huawei Li

CoRR, November, 2025

Guiding Visual Autoregressive Models through Spectrum Weakening.

Chaoyang Wang, Tianmeng Yang, Jingdong Wang, Yunhai Tong

CoRR, November, 2025

Think with Self-Decoupling and Self-Verification: Automated RTL Design with Backtrack-ToT.

Zhiteng Chao, Yonghao Wang, Xinyu Zhang, Jiaxin Zhou, Tenghui Hua, Husheng Han, Tianmeng Yang, Jianan Mu, Bei Yu, Rui Zhang, Jing Ye, Huawei Li

CoRR, November, 2025

Faver: Boosting LLM-based RTL Generation with Function Abstracted Verifiable Middleware.

Jianan Mu, Mingyu Shi, Yining Wang, Tianmeng Yang, Bin Sun, Xing Hu, Jing Ye, Huawei Li

CoRR, October, 2025

Direct Preference Optimization for LLM-Enhanced Recommendation Systems.

Chao Sun, Yaobo Liang, Yaming Yang, Shilin Xu, Tianmeng Yang, Yunhai Tong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

MOSS: Multi-Modal Representation Learning on Sequential Circuits.

Mingjun Wang, Bin Sun, Jianan Mu, Feng Gu, Boyu Han, Tianmeng Yang, Xinyu Zhang, Silin Liu, Yihan Wen, Hui Wang, Jun Gao, Zhiteng Chao, Husheng Han, Zizhen Liu, Shengwen Liang, Jing Ye, Bei Yu, Xiaowei Li, Huawei Li

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

RLRF4Rec: Reinforcement Learning from Recsys Feedback for Enhanced Recommendation Reranking.

Chao Sun, Yaobo Liang, Yaming Yang, Shilin Xu, Tianmeng Yang, Yunhai Tong

CoRR, 2024

SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning.

Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Characteristic-Aware Time-Series Representation Learning for Unsupervised Anomaly Detection.

Yaming Yang, Zhuo Li, Pingping Lin, Juanyong Duan, Hao Zhang, Tianmeng Yang, Congrui Huang, Zhengjie Lin, Yunhai Tong, Yujing Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning.

Tianmeng Yang, Jiahao Meng, Min Zhou, Yaming Yang, Yujing Wang, Xiangtai Li, Yunhai Tong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning.

Tianmeng Yang, Min Zhou, Yujing Wang, Zhengjie Lin, Lujia Pan, Bin Cui, Yunhai Tong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Enhancing Self-Attention with Knowledge-Assisted Attention Maps.

Jiangang Bai, Yujing Wang, Hong Sun, Ruonan Wu, Tianmeng Yang, Pengfei Tang, Defu Cao, Mingliang Zhang, Yunhai Tong, Yaming Yang, Jing Bai, Ruofei Zhang, Hao Sun, Wei Shen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

TS2Vec: Towards Universal Representation of Time Series.

Zhihan Yue, Yujing Wang, Juanyong Duan, Tianmeng Yang, Congrui Huang, Yunhai Tong, Bixiong Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Graph Pointer Neural Networks.

Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning Timestamp-Level Representations for Time Series with Hierarchical Contrastive Loss.

Zhihan Yue, Yujing Wang, Juanyong Duan, Tianmeng Yang, Congrui Huang, Bixiong Xu

CoRR, 2021