Guoheng Sun

According to our database, Guoheng Sun authored at least 31 papers between 2023 and 2026.

Collaborative distances:

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

2026

Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines.

Ziyao Wang, Bingying Wang, Hanrong Zhang, Tingting Du, Tianlong Chen, Guoheng Sun, Yexiao He, Zheyu Shen, Wanghao Ye, Ang Li

CoRR, April, 2026

Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers.

Jiali Wei, Ming Fan, Guoheng Sun, Xicheng Zhang, Haijun Wang, Ting Liu

CoRR, April, 2026

TOPCELL: Topology Optimization of Standard Cell via LLMs.

Zhan Song, Yu-Tung Liu, Chen Chen, Guoheng Sun, Jiaqi Yin, Chia-Tung Ho, Ang Li, Haoxing Ren, Cunxi Yu

CoRR, April, 2026

Cognibit: From Digital Exhaustion to Real-World Connection Through Gamified Territory Control and LLM-Powered Twin Networking.

Wanghao Ye, Sihan Chen, Yiting Wang, Shwai He, Bowei Tian, Guoheng Sun, Ziyi Wang, Ziyao Wang, Yexiao He, Zheyu Shen, Meng Liu, Yuning Zhang, Meng Feng, Yifei Dong, Yanhong Qian, Yang Wang, Siyuan Peng, Yilong Dai, Zhenle Duan, Joshua Liu, Lang Xiong, Hanzhang Qin, Ang Li

CoRR, April, 2026

Demystifying When Pruning Works via Representation Hierarchies.

Shwai He, Guoheng Sun, Haichao Zhang, Yun Fu, Ang Li

CoRR, March, 2026

ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models.

Guoheng Sun, Tingting Du, Kaixi Feng, Chenxiang Luo, Xingguo Ding, Zheyu Shen, Ziyao Wang, Yexiao He, Ang Li

CoRR, February, 2026

FedMOA: Federated GRPO for Personalized Reasoning LLMs under Heterogeneous Rewards.

Ziyao Wang, Daeun Jung, Yexiao He, Guoheng Sun, Zheyu Shen, Myungjin Lee, Ang Li

CoRR, February, 2026

Towards Building Non-Fine-Tunable Foundation Models.

Ziyao Wang, Nizhang Li, Pingzhi Li, Guoheng Sun, Tianlong Chen, Ang Li

CoRR, February, 2026

Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines.

Ziyao Wang, Bingying Wang, Hanrong Zhang, Tingting Du, Tianyang Chen, Guoheng Sun, Yexiao He, Zheyu Shen, Wanghao Ye, Ang Li

Trans. Mach. Learn. Res., 2026

Uncovering the Redundancy in Transformers via a Unified Study of Layer Dropping.

Shwai He, Guoheng Sun, Zheyu Shen, Ang Li

Trans. Mach. Learn. Res., 2026

Enhancing the Security of Large Character Set CAPTCHAs Using Transferable Adversarial Examples.

Guoheng Sun, Yucheng Fu, Han Yang, Juntian Huang, Ruimei Zhang, Haizhou Wang

IEEE Trans. Dependable Secur. Comput., 2026

VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation.

Yiting Wang, Guoheng Sun, Wanghao Ye, Gang Qu, Ang Li

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

2025

Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation.

Ziyao Wang, Guoheng Sun, Yexiao He, Zheyu Shen, Bowei Tian, Ang Li

CoRR, August, 2025

CogniPair: From LLM Chatbots to Conscious AI Agents - GNWT-Based Multi-Agent Digital Twins for Social Pairing - Dating & Hiring Applications.

Wanghao Ye, Sihan Chen, Yiting Wang, Shwai He, Bowei Tian, Guoheng Sun, Ziyi Wang, Ziyao Wang, Yexiao He, Zheyu Shen, Meng Liu, Yuning Zhang, Meng Feng, Yang Wang, Siyuan Peng, Yilong Dai, Zhenle Duan, Hanzhang Qin, Ang Li

CoRR, June, 2025

Arctic-Text2SQL-R1: Simple Rewards, Strong Reasoning in Text-to-SQL.

Zhewei Yao, Guoheng Sun, Lukasz Borchmann, Zheyu Shen, Minghang Deng, Bohan Zhai, Hao Zhang, Ang Li, Yuxiong He

CoRR, May, 2025

Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services.

Guoheng Sun, Ziyao Wang, Xuandong Zhao, Bowei Tian, Zheyu Shen, Yexiao He, Jinming Xing, Ang Li

CoRR, May, 2025

CoIn: Counting the Invisible Reasoning Tokens in Commercial Opaque LLM APIs.

Guoheng Sun, Ziyao Wang, Bowei Tian, Meng Liu, Zheyu Shen, Shwai He, Yexiao He, Wanghao Ye, Yiting Wang, Ang Li

CoRR, May, 2025

NetSight: Graph Attention Based Traffic Forecasting in Computer Networks.

Jinming Xing, Guoheng Sun, Hui Sun, Linchao Pan, Shakir Mahmood, Xuanhao Luo, Muhammad Shahzad

CoRR, May, 2025

SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning.

Yiting Wang, Wanghao Ye, Ping Guo, Yexiao He, Ziyao Wang, Bowei Tian, Shwai He, Guoheng Sun, Zheyu Shen, Sihan Chen, Ankur Srivastava, Qingfu Zhang, Gang Qu, Ang Li

CoRR, April, 2025

Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices.

Ziyao Wang, Yexiao He, Zheyu Shen, Yu Li, Guoheng Sun, Myungjin Lee, Ang Li

CoRR, March, 2025

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices.

Zheyu Shen, Yexiao He, Ziyao Wang, Yuning Zhang, Guoheng Sun, Wanghao Ye, Ang Li

Proceedings of the 23rd Annual International Conference on Mobile Systems, 2025

Towards counterfactual fairness through auxiliary variables.

Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Router-Tuning: A Simple and Effective Approach for Dynamic Depth.

Shwai He, Tao Ge, Guoheng Sun, Bowei Tian, Xiaoyang Wang, Dong Yu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Towards counterfactual fairness thorough auxiliary variables.

Bowei Tian, Ziyao Wang, Shwai He, Wanghao Ye, Guoheng Sun, Yucong Dai, Yongkai Wu, Ang Li

CoRR, 2024

Fair Diagnosis: Leveraging Causal Modeling to Mitigate Medical Bias.

Bowei Tian, Yexiao He, Meng Liu, Yucong Dai, Ziyao Wang, Shwai He, Guoheng Sun, Zheyu Shen, Wanghao Ye, Yongkai Wu, Ang Li

CoRR, 2024

Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers.

Shwai He, Tao Ge, Guoheng Sun, Bowei Tian, Xiaoyang Wang, Ang Li, Dong Yu

CoRR, 2024

What Matters in Transformers? Not All Attention is Needed.

Shwai He, Guoheng Sun, Zheyu Shen, Ang Li

CoRR, 2024

Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild.

Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations.

Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning.

Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Fighting Attacks on Large Character Set CAPTCHAs Using Transferable Adversarial Examples.

Yucheng Fu, Guoheng Sun, Han Yang, Juntian Huang, Haizhou Wang

Proceedings of the International Joint Conference on Neural Networks, 2023