Preprint in ResearchGate, May 2025 (
DOI: 10.13140/RG.2.2.16990.55362)
Teaching
Course List
Recent Publications(Full list)
Please find the source code of publications on our
Lab GitHub.
- GeWu: A Culturally-Grounded Chinese Benchmark for Multi-Stage Social Bias Evaluation in Large Language Models. AAAI, 2026 Oral
- The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models. AAAI, 2026 Oral
- Mitigating Stereotypes in Text-to-Image Generation: A Novel Perspective of Selective Neural Suppression. ACM Multimedia, 2025
- An Experimental Study on Embodiment Forms and Interaction Modes in Affective Robots for Anxiety Relief and Emotional Connection. IJHCS, 2025
- LLMs Trust Humans More, That's a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation. ACL, 2025
- The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing. ACL Findings, 2025
- Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation. NeurIPS, 2024 Spotlight
- Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models. NeurIPS, 2024
- Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors. NeurIPS, 2024
- Surviving in Diverse Biases: Unbiased Dataset Acquisition in Online Data Market for Fair Model Training. AIES, 2024
- Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect. ECAI, 2024
- Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization. AAAI, 2026 Oral
- Renormalization Group Guided Tensor Network Structure Search AAAI, 2026
- UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces. NeurIPS, 2025
- ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs. ACL, 2025
- DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation. IJCAI, 2025
- Learning Generalized and Flexible Trajectory Models from Omni-Semantic Supervision. KDD, 2025
- Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems. KDD, 2025
- SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters. NAACL, 2025
- Behavior Modeling Space Reconstruction for E-Commerce Search. TheWebConf, 2025
- GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching. AAAI, 2025 Oral
- DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields . AAAI, 2025
- Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space. AAAI, 2025
- GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems. ACM KDD, 2025
- STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation. SIGIR, 2025
- G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. NeurIPS, 2024
- Achieving Resolution-Agnostic DNN-based Image Watermarking: A Novel Perspective of Implicit Neural Representation. ACM Multimedia, 2024
- Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking. AAAI, 2024
- Bi-level User Modeling for Deep Recommender Systems. IEEE ICDM, 2024
- ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model. ACM KDD, 2024
- Efficient and Robust Regularized Federated Recommendation. CIKM, 2024
Alumni (学生毕业去向)
Year 2025
Ke Mu (Ph.D. 2025, First job: Assistant Professor@Dongguan University Of Technology 东莞理工学院)
Jiashi Gao (Ph.D. 2025(期间获得比亚迪奖学金和优秀毕业生), First job: Postdoc@Hong Kong Baptist University 香港浸会大学)
Yuchen Wang (M.S. 2025, First job: PhD@NJU 南京大学)
Yuchen Jiang (M.S. 2025, First job: PhD@SJTU 上海交通大学)
Zhipeng Zheng (M.S. 2025, First job: OPPO)
Peijia Qin (B.S. 2025(校十佳本科毕业生), First job: PhD@UCSD 加州大学圣地亚哥分校)
Jiacheng Zhou (B.S. 2025, First job: PhD@SUSTech 南方科技大学)
Songjian Dai (B.S. 2025, First job: MS@SUSTech 南方科技大学)
Chenyi Liao (B.S. 2025, First job: MS@SUSTech 南方科技大学)
Year 2024
Shiyao Zhang (RAP 2024, First job: Tenure-Track Assistant Professor@Great Bay University 大湾区大学)
Guanhui Ye (M.S. 2024, First job: Tencent 腾讯)
Zuji Zhang (B.S. 2024, First job: PhD@CUHK 香港中文大学)
Jianlin Li (B.S. 2024, First job: MS@CMU 卡耐基梅隆大学)
Haozhang li (B.S. 2024, First job: MS@IIE, CAS 中国科学院信息工程研究所)
Yuxuan Li (B.S. 2024, First job: MS@SUSTech 南方科技大学)
Yi Lin (B.S. 2024, First job: MS@SUSTech 南方科技大学)
Ziyi Zhou (B.S. 2024, First job: MS@SUSTech 南方科技大学)
Lei Chen (B.S. 2024, First job: MS@SUSTech 南方科技大学)
Year 2023
Yixuan Li (B.S. 2023, First job: MS@SUSTech 南方科技大学)
Year 2022
Haotian Lu (B.S. 2022, First job: MS@UIUC 伊利诺伊大学厄巴纳-香槟分校)
Yuchen Wang (B.S. 2022, First job: MS@SUSTech 南方科技大学)
Dibo Xian (M.S. 2022, First job: Huawei 华为)
Wenhui Wang (M.S. 2022, First job: Parametrix(An interesting AI startup))
Ziwei Wang (RA 2020-2022, First job, PhD@U of Birmingham 伯明翰大学)
Xiangyu Liu (Postdoc 2022(期间获得省自然青年基金和国自然青年基金), First job: Associate Professor@SYLU 沈阳理工大学 )
Year 2021
Guanhui Ye (B.S. 2021, First job: MS@SUSTech 南方科技大学)
Xingyu Zhu (B.S. 2021, First job: PhD@HKPolyU 香港理工大学)
Year 2020
Qinghua Zheng (B.S. 2020, First job: Tencent 腾讯)
Sen wang (B.S. 2020, First job: Tencent 腾讯)
Weiming Zhao (B.S. 2020, First job: Tencent 腾讯)
Yujie Yang (B.S. 2020, First job: Huawei 华为)
Lida Zhao (B.S. 2020, First job: MS@NTU 南洋理工大学)
Min Chen (B.S. 2020, First job: MS@SUSTech 南方科技大学)