Fighting Attacks on Large Character Set CAPTCHAs Using Transferable Adversarial Examples. - Yucheng Fu; Guoheng Sun; Han Yang; Juntian Huang; Haizhou Wang 001 (IJCNN, 2023)

SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning. - Yexiao He; Ziyao Wang; Zheyu Shen; Guoheng Sun; Yucong Dai; Yongkai Wu; Hongyi Wang 001; Ang Li 005 (NeurIPS, 2024)

FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations. - Ziyao Wang; Zheyu Shen; Yexiao He; Guoheng Sun; Hongyi Wang 001; Lingjuan Lyu; Ang Li 005 (NeurIPS, 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; et al. (NeurIPS, 2024)

What Matters in Transformers? Not All Attention is Needed. - Shwai He; Guoheng Sun; Zheyu Shen; Ang Li (CoRR, 2024)

Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers. - Shwai He; Tao Ge 005; Guoheng Sun; Bowei Tian; Xiaoyang Wang; Ang Li; Dong Yu 001 (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 005 (CoRR, 2024)

Towards counterfactual fairness thorough auxiliary variables. - Bowei Tian; Ziyao Wang; Shwai He; Wanghao Ye; Guoheng Sun; Yucong Dai; Yongkai Wu; Ang Li 005 (CoRR, 2024)

Towards counterfactual fairness through auxiliary variables. - Bowei Tian; Ziyao Wang; Shwai He; Wanghao Ye; Guoheng Sun; Yucong Dai; Yongkai Wu; Ang Li 005 (ICLR, 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, 2025)

SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning. - Yiting Wang; Wanghao Ye; Ping Guo 007; Yexiao He; Ziyao Wang; Bowei Tian; Shwai He; Guoheng Sun; Zheyu Shen; Sihan Chen; Ankur Srivastava 001; Qingfu Zhang 001; et al. (CoRR, 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, 2025)

VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation. - Yiting Wang; Guoheng Sun; Wanghao Ye; Gang Qu 001; Ang Li 005 (CoRR, 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 005 (CoRR, 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, 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, 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; et al. (CoRR, 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 005 (CoRR, 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 005 (CoRR, 2025)